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Data Scientist

  • Type Job
  • Degree Bachelor
  • Location Slough, United KingdomSloughGB
  • Posted
  • Start date -
  • Deadline -

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Mars is a family-owned business with more than a century of history making diverse products and offering services for people and the pets people love. With almost $35 billion in sales, the company is a global business that produces some of the world’s best-loved brands: M&M’s®, SNICKERS®, TWIX®, MILKY WAY®, DOVE®, PEDIGREE®, ROYAL CANIN®, WHISKAS®, EXTRA®, ORBIT®, 5™, SKITTLES®, UNCLE BEN’S®, MARS DRINKS and COCOAVIA®. Mars also provides veterinary health services that include BANFIELD® Pet Hospitals, Blue Pearl®, VCA® and Pet Partners™. Headquartered in McLean, VA, Mars operates in more than 80 countries. The Mars Five Principles – Quality, Responsibility, Mutuality, Efficiency and Freedom – inspire its more than 100,000 Associates to create value for all its partners and deliver growth they are proud of every day.

The WALTHAM Centre for Pet Nutrition is Mars Petcare’s fundamental science centre that drives quality and innovation for our global brands in pet nutrition, pet health and pet care. We follow a scientific and data-driven approach based on experimental data generated at WALTHAM, and on big data from genetic testing, activity monitors and electronic health records.

Mining these connected data sets with advance analytical methods allows us to generate new insights giving Mars Petcare a competitive advantage and helping us to make abetter world for pets.

As part of the data analytics team the data scientist will independently define and execute data science projects across the Petcare ecosystem. You will be the expert on advanced data science methodology for the entire team, and also be a key driver in defining the portfolio of data science projects in a setting that currently is growing and needing further direction.


The Data Scientist position is embedded in the data analytics team of WALTHAM’s research organisation. The main task is to execute and deliver on data science projects. You will get to bring to bear your relevant expertise in data mining and data management, but also showcase the skills to define projects together with stakeholders across Mars Petcare through communicating on progress and results. 

As a Data Scientist here, you will be a strong advocate for data-driven research, to be independent, to work at high level of quality, and to contribute to shaping the development of our data platform and the portfolio of data science projects. 

Example projects include finding phenotypic associations in high throughput sequencing data and mining electronic health records for biomarkers of disease. To do this effectively will require learning of the WALTHAM and Mars Petcare R&D plan and vision, and regular interaction with our stakeholders.

Whether giving a formal presentation or just grabbing a coffee, this role will need someone who is comfortable in either situation and has great verbal & written communication skills. At Mars we are strong advocates of personal development and in this role there will be parts self-led but also through attending appropriate courses/symposia/conferences to maintain awareness of current knowledge. 


  • Execute and deliver on data science projects taking responsibility for data modelling and analysis, including deep learning and machine learning, and data management and reporting
  • Work with key stakeholders across the organisation to identify and define value-adding data science projects across the Mars Petcare organisation.
  • Advocate the purpose of data-driven research and work to high scientific standards
  • Point of contact for data modelling/analysis and data management methods and tools within the data analytics team


  • PhD or Master degree with equivalent relevant experience in Statistics, Computer Science, Mathematics or a related field
  • Extensive knowledge in machine learning and deep learning methods and their practical applications
  • Understanding of general statistical principles relating to sampling, bias, inference and prediction
  • Expert knowledge of R, Python, Data Bricks, SPARK, SQL, NoSQL and Tensorflow or the ability to learn these quickly
  • Excellent technical planning and influencing skills
  • An ability to communicate complex data science verbally and through written materials, to a variety of audiences including expert and non-technical audiences
  • Demonstrated leadership for defining and managing projects in ambiguous settings and with diverse stakeholders

In return we offer

  • Great career progression
  • Range of in-house training
  • Competitive salary, bonus and range of large company benefits

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