17 Quantitative Marketing jobs

Do you want to influence the decisions of the world's leading multinationals? Are you a recent graduate and ready for an analytically-challenging and rewarding career? Do you have a passionate curiosity about what and why people do what they do? Are you proactive, driven and keen to learn? Join us as a (senior) research analyst! SKIM is a global insights agency helping leading companies thrive by understanding decision making. To stay ahead today, it's critical to know how decisions are made and how the changing environment influences decisions for consumers, healthcare and B2B professionals. We combine decision-behavior know-how with analytical rigor, a thorough understanding of marketing challenges, and innovative research techniques. The result? Practical recommendations clients can use to propel their business forward, online and offline. Your role We are looking for new colleagues to support our Consumer Health and Consumer Goods teams. You will apply a mix of quantitative and qualitative research methods and techniques to answer business questions and marketing problems focusing on communication strategies, product innovation and consumer journeys. Your responsibilities include: Managing and executing all phases of a market research study: questionnaire and discussion guide design, programming, fieldwork coordination, moderation, research analysis of the data and preparation of consultative reports and presentations in line with strategic business issues Consulting clients on their business issues to help optimise marketing communication, product pricing and portfolios, and new product developments Ensuring that the assigned projects are optimally carried out and deadlines are met Ensuring good and efficient collaboration with fieldwork agencies in different countries Independent management of client contact during day-to-day project management Contributing to the improvement of our services, products and innovations Influencing the future of SKIM Qualifications More specifically, we are looking for a dedicated, smart and enthusiastic team player with: Minimum Bachelor's degree in economics, business administration, market research, marketing, life sciences, sociology or psychology Recent graduate (0-2 years of experience). Note that experience is not a must - we value potential over experience Strong analytical skills Keen interest in quantitative and qualitative market research methodologies Excellent written and oral communication skills in English Proactive attitude expressed in extracurricular activities Internationally-minded Ability to quickly adapt to a complex, dynamic environment Independent, yet a team player Our Offer SKIM is an equal opportunity employer and offers a flexible working environment. We offer a competitive salary & benefits package that includes the following: Company pension scheme Annual performance-based and profit-sharing bonus Regular team outings and events Annual team-building day High value placed on taking initiative and ownership Open, communicative work environment Flat organisational structure Work / life balance Casual dress code Great passionate colleagues Company pension scheme Active training programs in place, many of which are guided on-the-job training At SKIM we understand that our employees are our most valuable asset we are committed to their future development and provide the opportunity to create a career that fits the aspirations of each individual. We have active training programs in place, many of which are trainings on the job. Additional information Please note that only complete applications consisting of a resume and cover letter in English will be considered (noting locations of interest). Due to the large volume of applications, only applicants who are invited to the first round selection process will be further contacted (this may take 1-3 weeks). Thank you for your understanding.

ABOUT POINTLOGIC Pointlogic, A Nielsen Company helps customers with decision making in the area of media and marketing. Our main assets are Nielsen data and advanced analytics capabilities. Pointlogic's head office from Rotterdam has a data science team of about 20 people with backgrounds in econometrics / operations research / mathematics. We offer data  science / econometrics / operations research / mathematics students  the possibility to either work solely on writing their thesis project (part of their MSc curriculum), on internal projects, or on a combination of both. To give you an idea of the topics we offer, you can read more about the topics of previous collage year below: 1. ACCELERATED PROBABILISTIC PROGRAMMING Pointlogic uses probabilistic programming extensively for performing various types of analytical inference currently that inference is performed in Stan. Probabilistic programming is a tool for statistical modeling, closely linked to performing Bayesian Statistics - it seeks to describe probabilistic models and then perform inference in those models. One of our current technical challenges is that our models are computationally expensive and we do not have satisfactory options for reducing the run time. The goal of this project is to evaluate the various algorithms and technical frameworks available for performing probabilistic programming. We have a few potential avenues that we would like to explore but are open to other ideas as well: We currently use Hamiltonian Monte Carlo, another option is to use Variational inference - which gives approximate answers but in a more timely fashion. Evaluating new frameworks for Pointlogic specific models. Recent frameworks include Edward (which uses Google's TensorFlow as a backend) & Pyro from Uber AI labs. Use of GPUs for large matrix calculations or exploring distributional computing through systems such as MPI. General reparameterizations to the model structure that allow for more efficient sampling. 2. MODELLING ADVERTISING EFFECTIVENESS UNDER UNCERTAINTY The goal of this project is to review a current component of modelling using survey data at Pointlogic. Our respondent level brand health models almost entirely use survey data as fuel for the modelling - the problem with this is that when modelling using survey data we don't have true measured information around when an individual has been exposed to advertising (except for cases where digital ads are tagged). We have a methodology in-place to help us here, Contact Estimation, which involves combining a number of pieces of information such as a respondent's typical media consumption behavior and where and when an advertiser advertised. This information is combined to provide an estimate for the expected number of contacts that an individual will have had, broken down by media channel We have many potential areas for exploration here: Currently the Contact Estimation & Modelling are two separate procedures - would there be added value in having a single procedure that performs the operation concurrently? Is using the expectation of number of contact sufficient or is there enough added value in incorporating more of the uncertainty around the number of contacts to justify the added complexity and computational overhead? Is there a bias in estimated effects of media by channel after Contact Estimation? If so, how large is it and can we construct a methodology to correct for any bias? 3. MACHINE LEARNING FOR DIMENSION REDUCTION In many projects, Pointlogic uses dimension reduction in order to reduce the number of features used in a model. The most common technique used is principal components. In this project, we will use machine-learning methods (e.g. auto-encoders) to do dimension reduction and compare the performance with commonly used methods. An important type of projects within Pointlogic is `data fusion'. As explained below, dimension reduction is an important step and we would like to examine the added value machine learning can bring to our methodology. Data fusion is a method of integrating data sets using statistical analytics and modeling in order to create a single data set that incorporates the attributes from both underlying sources. The `integrated' dataset allows us to make analysis that require variables from both sides. For media measurement (panel) integration, the following example of a 1-1 fusion is illustrative: Data Set 1:  TV panel. This is a data set of television viewing for a group of people. This data set includes demographics (e.g. age, gender, ethnicity, people in the home, income), along with detailed television viewing behavior, and information about computer device ownership and usage behavior. We will let the TV panel be the recipient data set. Data Set 2:  Radio panel. This is a data set of listening behavior for a separate group of panelists (not in Data set 1). This data set also includes demographics, some measurement of TV and most importantly detailed listening behavior. Let the radio panel be the donor data set. Data Set 3:  The fused data set. The integrated data set that has the original panelists from the TV panel but these panelists have been assigned listening behaviors that came from the radio panel To create Data Set 3, we identify like-variables within both Data Set 1 and Data Set 2, which are called linking variables. Using statistical analysis to understand how each of these variables correlates to both viewing of television and listening behavior, we establish importance weights for each variable, including which variables must match exactly between both data sets (always age/gender and various demographics traits). When the linking variables and their importance are established, we can define a distance function between respondents. The next step, linking donors to recipients while minimizing distances is known in Operations Research as a generalized assignment problem and it is well studied. Standard algorithms can solve the assignment problem very efficiently. The combined dataset can be used to estimate the overlap between TV stations and radio stations, or the joined reach of a cross-media campaign. 4. OUTLIER DETECTION IN TV PANELS In many countries, Nielsen is responsible for providing TV ratings data: information on how many people watched specific shows on television. These TV ratings are considered a `currency' as advertisers buying spots for TV advertising pay based on the amount of people watching during that time. Therefore having robust, reliable ratings is crucial for Nielsen and the TV buying market. TV ratings are measured via a panel study the size of this panel varies by country. The aim of this project is to identify individuals that demonstrate not natural viewing behavior with the use of sophisticated indicators that should be set.  Specifically the task is to define a scientific methodology and tools to detect suspicious individuals. Based on this set objective indicators to conclude about proved false behavior of individuals that should be excluded from the panel. Considerations to be taken into account: instructions given to individuals by third parties to watch something could be not constant in time and could be different for different channels, could be quite sophisticated aiming not to be revealed in easy way. The aim is to explore opportunities of machine learning capabilities and various statistical methods. Available information is viewing data for each individual by each channel and listing of demographic characteristics on daily base. Viewing data is available on viewing statements level. Analysis should be performed along whole period of panel existence with regular periodicity in order to detect false behavior individuals in-time manner upon their appearing. The moment when household is disclosed and contacted by third parties with instruction to watch something in specific is not known, it could be in the beginning of household inclusion into the panel or any day during the whole period of presence in the panel. 6. SWARM OPTIMIZATION IN MARKETING The goal of this project is to apply particle swarm optimization to a large optimization problem.  The optimization problem has 10,000's decision variables (real-valued), linear restrictions and a non-linear objective function, that is very computational demanding to evaluate. The application is about planning an advertising campaign. The decision variables correspondent to budgets allocated to a large set of media and the objective function represents the ROI of the campaign. The main reason why we are interested in particle swarm optimization is that it can take advantage of a parallel computing environment.  Working on this project, you will be implementing and tuning a number of variations of the algorithm, and evaluating these on a benchmark set of optimization problems .     6.WISDOM OF THE CROWD Surveys about media consumption behavior are the core of many of our products . The biggest and most time-consuming part for respondents are questions related to the reach and frequency of specific media channels. Due to the large amount of channels, we are forced to ask respondents only about a subset of channels. Experiments show that we are able to collect much more/accurate information when asking people to assess group behavior rather than individual behavior. The goal of this project is to  combine two interviewing techniques, which will allow respondents to describe their media behavior in a non-traditional way. The first experimental treatment introduces previously collected data about media consumption, and will ask the respondent to make corrections to match this consumption with their own consumption. The second treatment includes questions that ask respondents about the average media consumption of their peer group rather than themselves. By doing so we can assess respondents' meta-knowledge about the population distribution rather than their own and correct for individual errors. This project includes combining these two treatments in a two by two experimental design and comparing the results with data collected by our traditional questionnaire design. *Note: this project requires primary data collection and funding, these considerations can be done only after submitting a complete research proposal. YOUR PROFILE Currently enrolled in a Master in Computer science, Econometrics, Mathematics,or other quantitative MSc Some experience in R and/or Python programming, classification models and theory of simulation Good command in spoken and written English Available for at least 20hours per week Available for a period of at least 6 months. If you are interested in a thesis internship, feel free to apply. We would like to find out if you are up for this challenge, so please include your  CV, motivation letter  and  grades list. Function hours: 38 hours - 40 hours Degree: Bachelor/Masters Team: Data Science Location: Rotterdam, the Netherlands  

Do you dream of becoming a  data scientist  one day, but you still have to complete your studies? You've come to the right place. Either you want to take a break-year before you finalize your study, or you need to collect more credits before starting a new study, we have the in-between solution for you,as we offer you the opportunity to work part-time or full time on projects that will help youdevelop practical skills while being a student. In this way, your work is not only theory-based, but it allows you to implement the theory in practice. ABOUT THE JOB The work is diverse and you will performing tasks of different nature: analytical  (analysing data, identifying correlations, testing econometric models etc.), technical  (working with databases, conversion of data)and client-focused  (client support, writing manuals etc.). Therefore, you are able to apply diverse aspects of you study on the job. YOUR PROFILE 3rd year Bachelor or Master student in a quantitative field (Econometrics, Mathematics or related study) Good social and communicationskills Affinity with market research and data analysis Good command in spoken and written English Available for at least 16 hours per week Available for a period of at least 6 months. WHAT WE OFFER Competitive salary and benefits Personal and professional development opportunities Flexibility in working hours and location Exciting projects and clients An open, respectful and multicultural atmosphere Time for socialising and fun A Football and a Ping-pong table, and Friday afternoon drinks (every Friday) 25 days of paid leave based on full time employment Reimbursement of traveling expenses Daily fruit snacks. Please mention in your cover letter your  weekly availability  and  how many months  will you be able to commit to this project. If you are interested in combining this with writing your thesis, check our  thesis topics: Function hours: 32 hours - 40 hours Degree: Bachelor/Masters Team: Data Science Location: Rotterdam, the Netherlands    

Gibbs is een jong en ambitieus consultancybureau gevestigd op de Coolsingel in Rotterdam. Wij zetten methoden uit de econometrie in om marketingstrategieën te optimaliseren, prognoses te doen en kostenbesparingen te vinden. Sommigen noemen dat Big Data Analytics, anderen Customer Intelligence of Fact Based Marketing. Dit doen we voor organisaties als KPN, Marktplaats, bol.com, PostNL, Aegon, het Oogfonds en Shell. Wij willen ons team uitbreiden met een enthousiaste en creatieve junior consultant. Over de functie Als junior consultant ondersteun je de opdrachtgevers van Gibbs vanuit je kwantitatieve achtergrond op verschillende gebieden. Je werkt samen in projectteams met een (senior) consultant. De projecten van Gibbs zijn voornamelijk gerelateerd aan marketing, maar ook financiële en macro-economische vraagstukken komen voorbij. Je verdiept je in de problemen en wensen van opdrachtgevers, adviseert over mogelijke oplossingen en ondersteunt hen door het doen van analyses en het ontwikkelen van modellen en tools. Al doende krijg je in de loop van de jaren steeds meer verantwoordelijkheid en bouw je een expertisegebied en klantenkring op. Wij zoeken in onze kandidaten MSc econometrie, toegepaste wiskunde of een aanverwante WO-opleiding met een sterke bèta-component Affiniteit met het analyseren van data en het ontwikkelen van kwantitatieve modellen 0-2 jaar relevante werkervaring Goede communicatieve vaardigheden: je bent in staat en vindt het een uitdaging om resultaten over te brengen aan opdrachtgevers en je netwerk te onderhouden Bereid om te reizen naar opdrachtgevers in de Randstad Goede beheersing van de Nederlandse taal in woord en geschrift Uitstekende kennis van Excel/VBA, SQL, EViews, STATA en/of R is een pré Wij bieden Een uitdagende baan, waarbij je in teams werkt aan projecten voor verschillende grote opdrachtgevers en al snel eigen verantwoordelijkheden krijgt Werken in een jong en gezellig team Volop mogelijkheden voor persoonlijke ontwikkeling, bijvoorbeeld door het volgen van trainingen, cursussen en kennissessies, zowel intern als extern Marktconforme primaire en secundaire arbeidsvoorwaarden Een jaarlijkse bonus afhankelijk van je prestaties Een goede werksfeer waarin veel waarde wordt gehecht aan de verhouding tussen werk en privé Interesse? Stuur je CV en motivatiebrief op naar Frederique Baas via de apply button. Schroom daarnaast niet om contact met haar op te nemen voor meer informatie over ons bedrijf of over deze vacature.

Do you thrive in a fast, technical and commercial environment? Are you passionate about finding solutions for complex business problems and ready for a challenging and rewarding career? SKIM is an international market research consultancy that specializes in optimizing consumer offerings by providing actionable insights. Join us as Technical Research Analyst! SKIM is a global insights agency helping leading companies thrive by understanding decision making. To stay ahead today, it's critical to know how decisions are made and how the changing environment influences decisions for consumers, healthcare and B2B professionals. We combine decision-behavior know-how with analytical rigor, a thorough understanding of marketing challenges, and innovative research techniques. The result? Practical recommendations clients can use to propel their business forward, online and offline. SKIM has several business units of which Data Science is one. Data Science is a think tank a globally recognized master of conjoint methodology, always ahead of competition working at the forefront on inventing and adopting new approaches to discrete choice modelling and advanced analytics. We are a sparring partner to consultancy houses like BCG and McKinsey, fellow market research firms and other SKIM units. Your Role To support our rapidly expanding Data Science team we are looking for a new colleague passionate about quantitative market research. The position is a blend of working on client projects and ongoing technical development of our portfolio. Your responsibilities include: Involvement in various types of market research studies, such as pricing, segmentation, key driver analysis and consumer journey mapping Create the research design and do the modeling part of complex studies, and provide consultancy on standard research solutions Develop standardized methods which can be automated and used by the research project team Deploy control measures to ensure data quality, and conduct the analysis process including market simulations Reflect on our ways of working and work on improvement initiatives such as developing new tools, applications and more efficient solutions Qualifications You will play a critical role by combining technical skills and an entrepreneurial mindset. We will ask the most of you in your interaction with clients, both internally and externally. More specifically, we are looking for someone with the following profile: Minimum Master's degree in econometrics, statistics, economics or a similar technical degree 0-2 years of experience in an analytical role Keen interest indata science tools for predictive analysis Excellent written and oral communication skills in English Knowledge of R and VBA in Excel Technical proficiency in Javascript, Jquery, C++ and Perl is a pre Proactive attitude expressed in extracurricular activities Internationally-minded Ability to quickly adapt to a complex, dynamic environment Independent, yet a team player Our Offer SKIM is an equal opportunity employer and offers a flexible working environment. We offer a competitive salary & benefits package that includes the following: Annual performance-based and profit sharing bonus Regular team outings and events Annual team-building day High value placed on taking initiative and ownership Open, communicative work environment Flat organizational structure Work / life balance Casual dress code Great passionate colleagues Active training programs in place, many of which are guided on-the-job training Company pension scheme At SKIM we understand that our employees are our most valuable asset we are committed to their future development and provide the opportunity to create a career that fits the aspirations of each individual. We have active training programs in place, many of which are trainings on the job. Additional Information Please note that only complete applications consisting of a resume and cover letter will be considered (noting locations of interest). Due to the large volume of applications, only applicants who are invited to the first round selection process will be further contacted (this may take 1-3 weeks). Thank you for your understanding.

Jouw uitgebreide kennis en ervaring in data science maakt echte impact bij onze A-merk opdrachtgevers. Je bent niet alleen verantwoordelijk voor het begeleiden van complexe projecten bij onze klanten, maar je fungeert ook als thought leader binnen het Data Science team. Dit ga je doen als Senior Data Scientist bij NEWCRAFT Je vervult een strategische rol bij onze beursgenoteerde opdrachtgevers je weet insights uit hun data te destilleren en deze te vertalen in commerciële doelstellingen met een concreet plan. Je bouwt en implementeert state of the art algoritmes die data echt waardevol maken. Je maakt weloverwogen keuzes in modeling aanpak, analyseert de performance en kijkt kritisch naar de relevantie van de oplossingen. Je visualiseert data insights om onze klanten van helder advies te voorzien. Hierbij houd je de lange termijn visie in de gaten en begrijp je waar de behoefte ligt om ook nieuwe kansen te creëren. Verder bedenk je nieuwe ideeën om te pitchen aan potentiële of huidige opdrachtgevers. Je werkt nauw samen in hybride teams met specialisten binnen het hele digital domein, en je bent sparring partner op hoog niveau. Als Senior Data Scientist bij NEWCRAFT ben je: Hoog opgeleid. Je hebt minstens een WO Masterdiploma in een bèta studie zoals Econometrie, Technische Bedrijfskunde, Natuurkunde, Wiskunde of andere relevante studies. Ervaren. Je hebt minstens vijf jaar ervaring als data scientist, bij voorkeur in een commerciële organisatie. Je hebt statistiek en data analyse als achtergrond, ervaring met het programmeren van algoritmes, data visualisatie, en machine learning. Technisch. Je weet goed om te gaan met tools zoals Python, TensorFlow, MXNet, SparkML, SQL etc. Daarnaast ken je ook big data technieken zoals Hadoop, Spark, Cassandra etc. Ondernemend. Je weet commerciële kansen te spotten en creëren, waarbij een pragmatische oplossing belangrijker is dan de perfecte analyse. Wie zoeken wij? Je communiceert duidelijk en vindt het leuk om complexe zaken helder over te brengen. Je bent anderen altijd een stapje voor op het gebied van digitale ontwikkelingen en deelt je kennis graag. Verder krijg je hier veel verantwoordelijkheid, maar wordt er ook van je verwacht dat je zelf initiatief neemt. Zelfsturend vermogen is dus essentieel. Waarom NEWCRAFT? Direct aan de slag bij A-merken Bij ons werk je op topniveau op het gebied van digital voor Nederlandse en internationale A-merken. Denk aan: Gall &Gall, Douwe Egberts, KPN en meer. Kansen en een snelle leercurve Wij groeien snel, en jij groeit mee. Niet alleen op zakelijk maar ook op persoonlijk vlak kun je bij ons snel meters maken. Goede (secundaire) arbeidsvoorwaarden Denk aan een competitief salaris, geweldige werkplek in B. Amsterdam, legendarische bedrijfsuitjes (skiën!) en de niet-te-missen vrijdagmiddagborrels. A great place to work Bij ons kun je met elkaar lachen en van elkaar leren. Geen ouderwetse hiërarchieën of formele toestanden, hier maakt iedereen deel uit van het resultaat en word je gewaardeerd om wie je bent. Interesse? Ben je geïnteresseerd? Reageer dan nu op deze vacature! Voor meer informatie, neem contact op met Kaj Hidskes, Recruiter, 06-33953790. Hij maakt graag kennis met je!

Overview The Global Sector Energy team provides tailor-made financial solutions in the form of advisory and financing to the leading players in the energy sector. We cover companies involved in producing, processing, transporting and marketing of fossil fuels as well as renewable energy., transport and marketing of products. In Amsterdam the following subsectors are covered by 5 dedicated teams: Upstream Oil & Gas (oil and gas reserve base lending) Midstream & Downstream Oil & Gas (storage, pipelines, petrochemical plants) Offshore (FPSOs, drilling rigs, offshore (wind) construction) Renewables & Power (solar and wind power generation) Utilities (electric, gas, water and power distribution companies) ING Sector Energy Amsterdam is offering internships or graduation project positions for talented students who are in the final phase of their bachelor or master study. We offer a stimulating and dynamic international working environment. Our teams are very dedicated to serving our clients and we work together in an informal yet highly professional manner. Description You will be assisting with the origination of new business opportunities in the energy sector in cooperation with team members and other ING teams. As a member of a small, highly skilled team, you will support the execution of financial transactions and assist with timely closing of transactions. You will have contact with industry clients, support functions within ING (e.g. risk management) and other product departments. Graduation projects may also be considered. What do we offer? Live deal-execution experience in a dynamic environment. You will be trained extensively and will be seen as a full member of the team. Exposure to complex (project) financings requiring cooperation with other ING departments, consultants, banks and sponsors. Opportunity to create a network within ING as well as in the wider banking and energy sector. Ideal competencies and experience We are looking for customer-oriented and result-driven candidates that have strong analytical skills combined with excellent presentation and communication skills. You have commercial acumen, high proficiency in English (both spoken and written), you are self-motivated with a high degree of initiative to get things done and you are an excellent team player. ING promotes diversity. Financial knowledge is not a prerequisite, but proven affinity with the financial services sector is important. Further details When you are looking for an internship position for 3-6 months within Wholesale Banking - Sector Energy you can apply by sending an e-mail to Soo.van.de.Laar@ing.com. Please add your CV, motivation and a grade list (both university and secondary school). Please also indicate if you have a preference for one of the teams. Due to the short term experience we offer to students in their final year, we only consider students from Dutch Universities To find out more about our traineeships, take a look at  https://www.ing.jobs/Netherlands/Traineeships.htm We also offer fixed positions via  https://www.ing.jobs/Netherlands/Home.htm Questions about this opportunity? Feel free to contact  Petra Nijman , Recruiter. e-mail:  Petra.Nijman@ing.com

Achtergrond ABF Research is een particulier onderzoeksbureau gevestigd in een karakteristiek pand in het centrum van Delft. ABF is met openbaar vervoer goed bereikbaar. ABF is een kwantitatief ingesteld bureau dat werkt aan onderwerpen waarmee we midden in de maatschappij staan, zoals wonen, zorg, demografie, ruimte en economie. Bij ABF werken ongeveer 50 werknemers met een hbo- of academische achtergrond op het gebied van wiskunde, (ruimtelijke) economie, econometrie, bouwkunde, natuurkunde, verkeer en vervoer. Maar ook statistici en informatici. ABF is een informele organisatie. Medewerkers nemen zelf verantwoordelijkheid. ABF biedt een plezierige, positieve werksfeer, flexibele werktijden en ruimte voor ontspanning. Via de ABF Academie heeft kennisontwikkeling een vaste plaats in de organisatie. Wij doen allerlei kwantitatief onderzoek van dataverzameling tot complexe rekenmodellen. Statistiek, marktonderzoek, dataprocessing, benchmarking, monitoren, informatiesystemen en prognosemodellen iseen greep uit het type werk dat we doen. Als kwantitatief onderzoeker verwachten we uiteraard dat je makkelijk met getallen omgaat in pakketten zoals SPSS, R en Excel. Ook kan je ingezet worden voor het programmeren van rekenmodellen die niet met SPSS, R of Excel zijn op te lossen. Het gaat om bijvoorbeeld om een arbeidsmarktmodel, demografisch model of simulatiemodel voor vraag naar de zorg. Je hoeft je niet bezig te houden met de gebruikersschil, dat doen de softwareontwikkelaars. Wel zul je met Fortran, Visual basic of C het rekenmodel moeten kunnen programmeren. Een expert hoef je niet te zijn, dat komt vanzelf wel. Als je met MATLAB hebt gewerkt zul je zeker met Fortran of Visual Basic uit de voeten kunnen. Misschien ben je juist geïnteresseerd in de software zoals ASP .NET en/of C# en wil je daar meer in specialiseren dan in het maken van rekenmodellen. Ook dan kunnen we je goed gebruiken. Als je nog jong bent zullen, we je in het begin op diverse terreinen inzetten. Hierdoor kunnen jij en wij kijken waar jouw affiniteit ligt en in welke richting je verder wilt ontwikkelen. Wij zoeken werk dat bij je past! Als je al werkervaring hebt, dan gaan we kijken hoe we je sterke punten verder kunnen uitbouwen. Gewenst profiel Bij ABF geloven we in kwantitatieve aanpak van maatschappelijke vraagstukken. Om succesvol de positie van kwantitatief onderzoeker moet je over voldoende bagage beschikken op het gebied van methoden en technieken. Werkervaring is niet vereist: Je hebt een afgeronde academische opleiding econometrie, wiskunde of een vergelijkbare studie. Je hebt affiniteit met programmeren Je bent gericht op samenwerking in teams. Je kan goed mondeling en schriftelijk communiceren. Je bent pragmatisch ingesteld, resultaatgericht en een doorzetter. Je wilt 4 of 5 dagen in de week werken. Aanvullende informatie Wat hebben we jou te bieden? Er is een zeer goede en informele werksfeer. Er is bijna geen verloop. We zijn gehuisvest in een prachtig monumentaal grachtenpand in het centrum van Delft op loopafstand van het station. Veel jonge collega's. Flexibele werktijden 31 vakantiedagen bij fulltime dienstverband Tijdelijke aanstelling van 1 jaar met mogelijkheid tot vast contract. Marktconform salaris afhankelijk van opleiding en relevante werkervaring Naast het salaris en vakantiegeld kan je bij een goed jaarresultaat van ABF rekenen op een eindejaarsuitkering (dertiende maand). Pensioenregeling Na 2 jaar de mogelijkheid om in het bedrijf te participeren. Past dit bij jou? Stuur je sollicitatiebrief, inclusief cv en eventueel cijferlijst(en) aan Jeroen de Kort. Voor aanvullende informatie over deze vacature kan je ook contact opnemen met Jeroen de Kort Acquisitie naar aanleiding van deze advertentie wordt niet op prijs gesteld.

Achtergrond ABF Research is een particulier onderzoeksbureau gevestigd in een karakteristiek pand in het centrum van Delft. ABF is met openbaar vervoer goed bereikbaar. ABF is een kwantitatief ingesteld bureau dat werkt aan onderwerpen waarmee we midden in de maatschappij staan, zoals wonen, zorg, demografie, ruimte en economie. Bij ABF werken ongeveer 50 werknemers met een hbo- of academische achtergrond op het gebied van wiskunde, (ruimtelijke) economie, econometrie, bouwkunde, natuurkunde, verkeer en vervoer. Maar ook statistici en informatici. ABF is een informele organisatie. Medewerkers nemen zelf verantwoordelijkheid. ABF biedt een plezierige, positieve werksfeer, flexibele werktijden en ruimte voor ontspanning. Via de ABF Academie heeft kennisontwikkeling een vaste plaats in de organisatie. Wij doen allerlei kwantitatief onderzoek van dataverzameling tot complexe rekenmodellen. Statistiek, marktonderzoek, dataprocessing, benchmarking, monitoren, informatiesystemen en prognosemodellen iseen greep uit het type werk dat we doen. Als dataanalistverwachten we uiteraard dat je makkelijk met getallen omgaat in pakketten zoals SPSS, R en Excel. Ook kan je ingezet worden voor het programmeren van rekenmodellen die niet met SPSS, R of Excel zijn op te lossen. We werken vaak met zeer grote bestanden van bijvoorbeeld het CBS. Uit deze bestanden moeten zinvolle indicatoren worden gehaald die op regionaal niveau worden gepubliceerd. Publicatie kan een rapport zijn (steeds minder) of via onze presentatiesoftware Swing. Beschrijving van de data, de juiste indicatoren bedenken en een goede wijze waarop je deze kunt presenteren behoren ook tot de uiteindelijke taken. Uiteraard word je goed begeleid. Als je nog jong bent zullen, we je in het begin op diverse terreinen inzetten. Hierdoor kunnen jij en wij kijken waar jouw affiniteit ligt en in welke richting je verder wilt ontwikkelen. Wij zoeken werk dat bij je past! Als je al werkervaring hebt, dan gaan we kijken hoe we je sterke punten verder kunnen uitbouwen. Gewenst profiel Bij ABF geloven we in kwantitatieve aanpak van maatschappelijke vraagstukken. Je beschikt over voldoende bagage op het gebied van methoden, technieken, statistiek en liefst ook programmeerkennis. En je moet passen in het ABF-team. Je hebt een afgeronde academische opleiding econometrie, wiskunde of een vergelijkbare studie. Je bent gericht op samenwerking in teams. Je kan goed mondeling en schriftelijk communiceren in het Nederlands. Je bent resultaatgericht, werkt nauwkeurig en bent een doorzetter Werkervaring is niet vereist Je wilt 4 of 5 dagen in de week werken. Aanvullende informatie Wat hebben we jou te bieden? Er is een zeer goede en informele werksfeer. Er is bijna geen verloop. We zijn gehuisvest in een prachtig monumentaal grachtenpand in het centrum van Delft op loopafstand van het station. Veel jonge collega's. Flexibele werktijden 31 vakantiedagen bij fulltime dienstverband Tijdelijke aanstelling van 1 jaar met mogelijkheid tot vast contract. Marktconform salaris afhankelijk van opleiding en relevante werkervaring Naast het salaris en vakantiegeld kan je bij een goed jaarresultaat van ABF rekenen op een eindejaarsuitkering (dertiende maand). Pensioenregeling Na 2 jaar de mogelijkheid om in het bedrijf te participeren. Interesse, nieuwsgierig? Stuur je sollicitatiebrief, inclusief cv en eventueel cijferlijst(en) aan Jan Hooft. Voor aanvullende informatie kan je bij Cock Meijers terecht ( cock.meijers@abf.nl /015 2799360) Acquisitie naar aanleiding van deze advertentie wordt niet op prijs gesteld.  

Ben je gedreven, op zoek naar uitdaging en ga jij tot het uiterste om het beste uit je model te halen? Dan zijn wij op zoek naar jou! De focus bij Totta Data Lab ligt op het voorspellen van individueel gedrag. Met behulp van onze econometrische kennis en machine learning helpen wij klanten in diverse sectoren om waardevolle voorspellingen uit hun (Big) data te halen. Op dit moment heeft Totta Data Lab een gevarieerde klantenbase, van onderwijsinstellingen tot banken en van gemeentes tot retailers. Als Junior Data Scientist zal je bij ons betrokken zijn bij het gehele klantproces - van acquisitie tot eindproduct - en direct eigen verantwoordelijkheden hebben. Voor meer details over onze werkzaamheden, neem snel een kijkje op onze website: www.tottadatalab.nl . Wat verwachten we van jou? Full Time beschikbaar 0-2 jaar werkervaring Aantoonbaar affiniteit met cijfers en data (student econometrie, wiskunde of andere technische achtergrond) Zelfstandigheid Mogelijkheid tot vertalen van moeilijke puzzels naar de praktijk en vice versa. Ondernemend Wat bieden wij jou? Flexibiliteit Wisselende opdrachten Directe link met de praktijk Verantwoordelijkheid Doorgroeimogelijkheden Zelfontwikkeling Persoonlijk ontwikkelingsplan Ben jij degene die we zoeken? Of heb nog vragen? Neem dan contact op metTessa Snijders-Harmsen via de apply button of telefoon (020 - 5141328).

Who are we? MIcompany is an agency specialized in Big Data Analytics with offices in Amsterdam and Tel Aviv. With our team of more than 50 young and ambitious professionals, we build Data Analytics capabilities for international blue chip companies. Our goal is to drive sustainable business value using the power of Data Analytics. We achieve this through discovery programs in which we search for opportunities and capture their potential by use case implementation. We make this impact sustainable by building capabilities in the fields of people & organization, models & metrics and data & technology. In our projects we are constantly looking for opportunities to innovate. We implement the newest modeling techniques, create state-of-the-art technology solutions and unlock new data sources using data capturing techniques. To ensure these innovations contribute to sustainable value creation, we combine them with our expert business knowledge and cross-industry experience. This led to long term relationships with successful national and international companies like bol.com, Achmea, KPN, booking.com and The Royal Concerthall. Starting at MIcompany, you join an extremely talented and ambitious team environment contributing to a very steep learning curve in the fields of Data Analytics and leadership. We love to work with young talented people. In order to transform them into experts in the field of Data Analytics, we constantly focus on personal development. At MIcompany we always challenge you to beat your own expectations! What is the position of a Front End Developer? As a Front End Developer you will join our Technology team and work closely together with our Data Scientists and Technical Data Scientists to create analytical applications for our clients. From the start you will contribute to challenging projects for the top of the industry. You will embed advanced analytical models in the strategic decision making process of our clients through the development of such applications. You will be responsible for the translation of analytical models into an interactive and graphical user interface, using techniques such as TypeScript and Vue.js What do we have to offer? A kick-start of your career as a Front End Developer in the young and ambitious MIcompany team. A unique working environment with focus on your personal development, including a personal coach who helps you grow your technical skills (through certificates) and soft skills. A positive team environment with quarterly team building events and weekly Friday afternoon drinks at our bar. A highly competitive starting salary, including a mobile phone and laptop. Who are we looking for? We are constantly looking for young analytical talent who recognize themselves in the following profile: Recently graduated (BSc/MSc) in Communication and Multimedia Design or another study where programming is central. Affinity with Front End development and experience with JS, HTML, CSS. Experience with interactive data visualizations usting TypeScript and/or Vue.js is a plus. Analytical, curious, and ambitious. Result-driven, pragmatic and persuasive. The drive to contribute to innovative Data Analytics projects in an ambitious and fast growing company. Focus on personal development and eager to learn. Proficiency in the Dutch language. Are you the analytical talent we are looking for? We would like to hear from you! Apply via the apply button. On our website you can also find more information about MIcompany and our projects, our other vacancies and FAQ's about working at MIcompany. Do you have any other questions or do you want to have coffee at our office to learn more about working at MIcompany? Contact us via talent@DataAnalytics.career .

Who are we? MIcompany is an agency specialized in Big Data Analytics with offices in Amsterdam and Tel Aviv. With our team of more than 50 young and ambitious professionals, we build Data Analytics capabilities for international blue chip companies. Our goal is to drive sustainable business value using the power of Data Analytics. We achieve this through discovery programs in which we search for opportunities and capture their potential by use case implementation. We make this impact sustainable by building capabilities in the fields of people &organization, models & metrics and data & technology. In our projects we are constantly looking for opportunities to innovate. We implement the newest modeling techniques, create state-of-the-art technology solutions and unlock new data sources using data capturing techniques. To ensure these innovations contribute to sustainable value creation, we combine them with our expert business knowledge and cross-industry experience. This led to long term relationships with successful national and international companies like bol.com, Achmea, KPN, booking.com and The Royal Concerthall. Starting at MIcompany, you join an extremely talented and ambitious team environment contributing to a very steep learning curve in the fields of Data Analytics and leadership. We love to work with young talented people. In order to transform them into experts in the field of Data Analytics, we constantly focus on personal development. At MIcompany we always challenge you to beat your own expectations! What is the position of a Data Engineer? As a Data Engineer you will join our Technology team. You work together with our Data Scientists on challenging projects to create insights from data and turn these into technology solutions for the top of the industry. You work closely with our clients to understand their needs and translate these into a suitable technology solution that meets both business requirements and industry best practices. Using the newest cloud stacks, the Data Engineer implements analytical insights in the decision making process of our clients. This involves making an entity model, unlocking new data sources, building interactive dashboards and automating data processing for periodic updating. What do we have to offer? A kick-start of your career as a Data Engineer in the young and ambitious MIcompany team. A unique working environment with focus on your personal development, including: The opportunity to join our three-year MIacademy Analytical Talentship Program. This program, consisting of 15% of your working time, will ensure that you will reach the absolute top of the industry. A personal coach who helps you grow your technical skills (through certificates) and soft skills. A positive team environment with quarterly team building events and weekly Friday afternoon drinks at our bar. A highly competitive starting salary, including a mobile phone and laptop. Who are we looking for? We are constantly looking for young analytical talent who recognize themselves in the following profile: Recently graduated (BSc/MSc) in Computer Science or another study where programming is central. Affinity with data and some experience with SQL, R and/or Python. Analytical, curious, and ambitious. Result-driven, pragmatic and persuasive. The drive to contribute to innovative Data Analytics projects in an ambitious and fast growing company. Focus on personal development and eager to learn. Proficiency in the Dutch language. Are you the analytical talent we are looking for? We would like to hear from you! Apply via the apply button. On our website you can also find more information about MIcompany and our projects, our other vacancies and FAQ's about working at MIcompany. Do you have any other questions or do you want to have coffee at our office to learn more about working at MIcompany? Contact us via  talent@DataAnalytics.career .  

Who are we? MIcompany is an agency specialized in Big Data Analytics with offices in Amsterdam and Tel Aviv. With our team of more than 50 young and ambitious professionals, we build Data Analytics capabilities for international blue chip companies. Our goal is to drive sustainable business value using the power of Data Analytics. We achieve this through discovery programs in which we search for opportunities and capture their potential by use case implementation. We make this impact sustainable by building capabilities in the fields of people & organization, models &metrics and data &technology. In our projects we are constantly looking for opportunities to innovate. We implement the newest modeling techniques, create state-of-the-art technology solutions and unlock new data sources using data capturing techniques. To ensure these innovations contribute to sustainable value creation, we combine them with our expert business knowledge and cross-industry experience. This led to long term relationships with successful national and international companies like bol.com, Achmea, KPN, booking.com and The Royal Concerthall. Starting at MIcompany, you join an extremely talented and ambitious team environment contributing to a very steep learning curve in the fields of Data Analytics and leadership. We love to work with young talented people. In order to transform them into experts in the field of Data Analytics, we constantly focus on personal development. At MIcompany we always challenge you to beat your own expectations! What is the position of a Student Employee? As a student employee you will be working in a team with Data Scientists and Technical Data Scientists, contributing to challenging projects for the top of the industry. You will be building meaningful, innovative and impactful analyses using advanced analytical techniques. Your work is very diverse, on an analytical and technical level. From data preparation in SQL and conducting analyses in R to building impactful presentations. What do we have to offer? A unique opportunity to experience the job as a Data Scientist in the young and ambitious MIcompany team. The possibility to apply the knowledge from your study in practice, being coached by experts in the field of data analytics. Growth opportunities to become a trainee. An excellent salary, regular team building events and weekly Friday afternoon drinks at our bar. Who are we looking for? We are constantly looking for young analytical talent who recognize themselves in the following profile: Students (3 rd year of their Bachelor/Master) with excellent results, in Econometrics, Mathematics, Computer Science or another quantitative field. Analytical, curious, and ambitious. Result-driven, pragmatic and persuasive. A passion for solving complex business challenges using advanced analytics on large amounts of data. The drive to contribute to innovative data analytics projects in an ambitious and fast growing company. Focus on personal development and eager to learn. Proficiency in the Dutch language. Are you the analytical talent we are looking for? We would like to hear from you! Apply via the apply button. On our website you can also find more information about MIcompany and our projects, our other vacancies and FAQ's about working at MIcompany. Do you have any other questions or do you want to have coffee at our office to learn more about working at MIcompany? Contact us via talent@DataAnalytics.career .

Word jij het nieuwe data science talent van 2019? Wil jij nieuwe databronnen ontdekken? Ben jij nieuwsgierig naar de nieuwste technieken en tooling op het gebied van data en marketing? Wil je werken voor de top-50 bedrijven van Nederland en tegelijkertijd je ontwikkelen tot de data science elite?  Op 1 mei (1 december) start EY VODW het Data Science Talent Program. Een uniek tweejarig opleidingsprogramma voor starters met nul tot twee jaar werkervaring, waarin kennis, persoonlijke vaardigheden en werk gecombineerd worden. Jouw uitdaging Het Data Science Talent Program start met een vijf weken durende intensieve data science opleiding en een kick off in een grote Europese stad. Wij nemen je mee in de wereld van data science en geven je een kick-start om bij onze klanten aan de slag te gaan. Jouw verantwoordelijkheden Je gaat in het Data Science Talent Program aan de slag met onder andere de volgende onderwerpen: Commercial analytics;  Customer experience, pricing analytics, marketing technologie, programmatic marketing. Data tools;  SQL, R, Python, Power BI en Tableau. Data technieken;  Descriptive analytics, visualisatie technieken en predictive analytics. Personal skills & impact;  Personal pitch, dashboard design, design thinking, agile werken. Na vijf weken stellen wij je voor aan onze klanten. Je gaat vier dagen in de week werken en wordt onderdeel van een (scrum)team. De vijfde dag van de week ben je bij EY VODW voor een verdiepende training en opleiding. Gedurende het gehele programma zal je bij verschillende klanten in diverse branches drie tot zes opdrachten doen op het snijvlak van data en marketing. Je helpt dus op tijdelijke basis organisaties bij specifieke vraagstukken en wordt interim data science professional bij EY VODW.  Dit ben jij Om deel te nemen aan het Data Science Talent Program voldoe je aan de volgende voorwaarden: Een academische opleiding die bèta gerelateerd is. Nul tot twee jaar werkervaring. Interesse in marketing en data science. Affiniteit met marketing. Goede beheersing van de Nederlandse en Engelse taal. Een enthousiaste, leergierige en nieuwsgierige persoonlijkheid. Fulltime beschikbaar per 1 mei 2019 of 1 december 2019 Dit bieden we jou Goed salaris, auto, laptop, telefoon Een contract voor 2 jaar Intensieve data science opleiding gedurende vijf weken Driedaagse training in het buitenland met o.a. bezoek aan start-up bedrijven Continue opleiding en coaching gedurende 2 jaar De mogelijkheid om veel ervaring op te doen bij Nederlandse top 50 bedrijven (profit/non profit) Een netwerk van 100+ EY VODW collega’s met diepgaande kennis over Data Science, Creatie, Marketing Technologie, Business Strategie en Transformatie. Leuke collega’s en een ambitieuze en informele bedrijfscultuur. Wij vinden het belangrijk plezier te hebben in ons werk. Naast de uitdagende opdrachten die we voor onze klanten mogen doen uit zich dit onder meer in gezamenlijke (sport)activiteiten, feesten en borrels. Belangstelling? Voor meer informatie over dit programma neem alsjeblieft contact op met Mechteld Rumpin via de apply button

Who are we? MIcompany is an agency specialized in Big Data Analytics with offices in Amsterdam and Tel Aviv. With our team of more than 50 young and ambitious professionals, we build Data Analytics capabilities for international blue chip companies. Our goal is to drive sustainable business value using the power of Data Analytics. We achieve this through discovery programs in which we search for opportunities and capture their potential by use case implementation. We make this impact sustainable by building capabilities in the fields of people &organization, models &metrics and data & technology. In our projects we are constantly looking for opportunities to innovate. We implement the newest modeling techniques, create state-of-the-art technology solutions and unlock new data sources using data capturing techniques. To ensure these innovations contribute to sustainable value creation, we combine them with our expert business knowledge and cross-industry experience. This led to long term relationships with successful national and international companies like bol.com, Achmea, KPN, booking.com and The Royal Concerthall. Starting at MIcompany, you join an extremely talented and ambitious team environment contributing to a very steep learning curve in the fields of Data Analytics and leadership. We love to work with young talented people. In order to transform them into experts in the field of Data Analytics, we constantly focus on personal development. At MIcompany we always challenge you to beat your own expectations! What is the position of a Data Engineer? As a Data Engineer you will join our Technology team. You work together with our Data Scientists on challenging projects to create insights from data and turn these into technology solutions for the top of the industry. You work closely with our clients to understand their needs and translate these into a suitable technology solution that meets both business requirements and industry best practices. Using the newest cloud stacks, the Data Engineer implements analytical insights in the decision making process of our clients. This involves making an entity model, unlocking new data sources, building interactive dashboards and automating data processing for periodic updating. What do we have to offer? A kick-start of your career as a Data Engineer in the young and ambitious MIcompany team. A unique working environment with focus on your personal development, including: The opportunity to join our three-year MIacademy Analytical Talentship Program. This program, consisting of 15% of your working time, will ensure that you will reach the absolute top of the industry. A personal coach who helps you grow your technical skills (through certificates) and soft skills. A positive team environment with quarterly team building events and weekly Friday afternoon drinks at our bar. A highly competitive starting salary, including a mobile phone and laptop. Who are we looking for? We are constantly looking for young analytical talent who recognize themselves in the following profile: Recently graduated (BSc/MSc) in Computer Science or another study where programming is central. Affinity with data and some experience with SQL, R and/or Python. Analytical, curious, and ambitious. Result-driven, pragmatic and persuasive. The drive to contribute to innovative Data Analytics projects in an ambitious and fast growing company. Focus on personal development and eager to learn. Proficiency in the Dutch language. Are you the analytical talent we are looking for? We would like to hear from you! Apply via the apply button. On our website you can also find more information about MIcompany and our projects, our other vacancies and FAQ's about working at MIcompany. Do you have any other questions or do you want to have coffee at our office to learn more about working at MIcompany? Contact us via  talent@DataAnalytics.career .

Ben je op zoek naar de ideale studie gerelateerde bijbaan die je tegelijkertijd de mogelijkheid biedt om je scriptie te schrijven over een opdracht in het werkveld? De focus bij Totta Data Lab ligt op het voorspellen van individueel gedrag. Met behulp van onze econometrische kennis en machine learning helpen wij klanten om waardevolle voorspellingen uit hun (Big) data te halen. Op dit moment heeft Totta Data Lab een gevarieerde klantenbase, van onderwijsinstellingen tot banken en van gemeentes tot retailers. Tijdens je afstudeerstagezal je bij ons betrokken zijn bij het gehele klantproces - van data verkenning, modellering tot eindproduct - en direct eigen verantwoordelijkheden hebben. Voor meer details over onze werkzaamheden, neem snel een kijkje op onze website: www.tottadatalab.nl . Wat verwachten we van jou? Aantoonbaar affiniteit met cijfers en data (student econometrie, wiskunde of andere technische achtergrond) Zelfstandigheid Mogelijkheid tot vertalen van moeilijke puzzels naar de praktijk en vice versa. 2 dagen per week beschikbaar Wat bieden wij jou? Flexibiliteit Wisselende opdrachtennaast je scriptie onderwerp Directe link met de praktijk Verantwoordelijkheid Persoonlijk ontwikkelingsplan Ben jij degene die we zoeken? Of heb je vragen over de mogelijkheden met betrekking tot afstudeerstages en/of werkstudentschap? Neem dan contact op metTessa Snijders-Harmsenvia via de apply button of telefoon (020-5141328).