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Data Scientist

ID de la oferta:
R-62168
Category:
Investigación y desarrollo - R&D
Location:
Wageningen, Güeldres
Fecha de publicación:
04/10/2025
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UNILEVER IS LOOKING FOR A DATA SCIENTIST

Location: Wageningen, The Netherlands or you can be located in Sharnbrook, UK

Full-time 

Local conditions apply – need to have the right to work in NL or UK.

Salary: for the Netherlands 44 K – 62 K depending on background and experience 

Travel: As per job/site requirements

ABOUT UNILEVER

Do you want to work for a company that makes a difference in the world? At Unilever, we have a clear purpose - to make sustainable living common place. Unilever is one of the world’s leading suppliers of fast-moving consumer goods with strong operations in more than 100 countries and sales in 190. With products that are used over two billion times a day around the world, we work to create a better future every day and help people feel good, look good and get more out of life with brands and services that are good for them and good for others. Dedicated to serving consumers and the communities where we live, work and play, Unilever employs more than 171,000 people worldwide.

JOB PURPOSE

The Global Nutrition and Ice Cream R&D team is heavily investing in data recording technology, which is transforming our product development capability, providing a step change in our ability to capture formulation, processing, packaging, pilot plant and factory data. This provides the opportunity for the Data Scientist to be a part of a major transformation agenda as we seek to fully exploit the benefits of data storage, management, and its analysis. 

As our Data Scientist you have a passion for:  

  • Dealing with big data, finding signal patterns invisible for your R&D colleagues
  • Applying data analysis to provide key insights in product portfolio 
  • Evaluating, Characterizing & Analyzing data from Unilever R&D (e.g., product development processes), and combining data sources from other Unilever internal functions and external to generate insights

WHAT WILL YOUR MAIN RESPONSIBILITIES BE?

  • Identify data analytics opportunities in product, packaging and process development;
  • Generate insights through an agile analytical lifecycle: scope & plan, data preparation &
           exploration, analysis and data modeling, recommendation, and implementation;
  • Design data modeling and data visualization applications;
  • Find business opportunities via data-mining approach  and drive change by acting as a global
           thought leader to share and steer strategic decisions; 
  • Build and develop expertise in R&D on data modeling and visualization; 
  • Develop and utilize a network of internal Unilever contacts working in data analytics to make
           use of synergies and embed into Unilever’s existing tools;
  • Working with external partners and leading related projects;

SKILLS YOU SHOULD HAVE

  • Strong knowledge in data science: model building and validation, database, statistics, machine learning
  • Excellent programming skills;
  • Excellent knowledge of most of the items as statistics packages, Python, “R”, R Shiny, and
           Analytics databases: SQL and ETL frameworks; 
  • Experience in text mining and natural language processing techniques;
  • Ability to work autonomic as a data scientist in a R&D focused environment;  
  • Team player who can give direction and function in multi-disciplinary teams; 
  • Communication of your work in different “languages” reaching stakeholders, other experts as well as the R&D community and attract them to the projects; 
  • Fluent in English (written and spoken) 
  • Strong networker 

RELEVANT EXPERIENCE

Essential 

  • MSc in applied mathematics/statistics, computer science, econometrics, chemometrics 
  • 1-3 years of working experience 
  • Proven track record as data analyst/scientist 
  • Experience with data model development and optimization 
  • Experience with data visualization and dashboard tools
  • Experience with descriptive analysis, predictive analysis, prescriptive analysis, and machine

learning 

Desirable

  • Experience deploying analysis and visualizations for production usage
  • Experience with Azure cloud service, Azure Data Factory, and Azure Analysis Services
  • Experience working in an international environment 

WHAT DOES UNILEVER OFFER

Unilever is the place where you can be yourself and bring your purpose to life with the work that you do – creating a better business and a better world. We offer an exciting & dynamic work environment where you can make things happen. Furthermore, we offer some great reward and benefits!

  • Attractive total remuneration package; excellent company pension, bonus, share scheme.
  • Flexible cross-disciplinary career opportunities and a wealth of training opportunities & wellbeing resources whenever and wherever.
  • Plenty of company-paid holidays to further ensure your work-life balance is maintained.
  • We encourage an inclusive culture, which comes to life with interchangeable public holidays, paid paternity leave of 6 weeks and our transgender policy.
  • Under the Hybrid Working principles, you will be expected to spend a minimum of 40% in the office or at customers, suppliers or partners to connect and collaborate.  For the time you work from home, we will ensure you are well equipped. When you are at the office , you can enjoy our tasty canteen with prepped food and own products.
  • Informal culture and being the first one trying our new products. 
  • My Fitness Plan (reduction on your Fitness Subscription).
  • Company laptop and mobile phone
  • Green Mobility Policy.   

EXCITED?

Join Unilever and our team! To apply, you must do so online. Please do not forget to upload your CV and a motivation letter.  Your application will be reviewed against our requirements and we will be in touch shortly after the closing date to provide you with an update on the status of your application.

Looking forward to meeting you! 

Please note this is a Direct Search led by Unilever. Applications from agencies will not be accepted, nor will fees be paid for unsolicited CVs.

Equal Opportunity Employer: Unilever is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, disability or any other basis protected by applicable law, and will not be discriminated against. 

By highlighting the gender diversity at the workplace, Unilever encourages women equally men to apply. If you look for a job after a long career break or after any type of leave, do not hesitate to apply.

NOTE: Please save a copy of this vacancy for personal use as it will disappear from the website after closing of the role.

NOTE: Deadline for applying is at 23.59 the day before the Job Posting End Date.

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