Data Scientist

Location

Melton Mowbray, Leicestershire | United Kingdom

Job description

Data Scientist

• Mars
• Waltham on the Wolds, Melton Mowbray, UK
• 27/01/2024

Full timeData Science Big Data Statistics Biostatistics Data Warehouse

Job Description

The Waltham Petcare Science Institute provides the word-class science behind the MARS Petcare brands. Our work at WALTHAM covers diverse topics in pet nutrition, health, and wellbeing and is achieved through designed experiments and real-world data. In addition, we join forces with other MARS Petcare teams in the Science domain to collectively work on making a better world for pets.

What are we looking for?

• An experienced data scientist with a proven track record of successfully delivering complex projects within a life science research environment.
• Experience in statistical modelling and machine learning and their practical applications, driving positive change through data-driven decision making and their applications.
• Understanding of statistical principles related to sampling, bias, inference and prediction.
• Ability to solve problems considering all constraints, context and risks.
• Solid knowledge of R or Python and related packages for data processing, visualisation and analysis.
• Awareness of techniques for querying and processing large data sets (Spark, SQL) and big data platforms (Azure).
• Understanding of coding best practices including clean, modular code, reproducibility, testing, version control (GitHub).
• Ability to effectively communicate complex data science verbally and through written materials to a variety of audiences.

What will be your key responsibilities?

• Execute data science projects in a collaborative environment, taking responsibility for data analysis, including statistical modelling and machine learning, and data management and reporting with a repeatable, interpretable and scalable approach.
• Work with key stakeholders across the organisation to deliver value-adding data science projects across Mars Petcare.
• Advocate for and educate on the purpose of data-driven research and work to high scientific standards, adhering to technical best practices and ways of working.
• Maintain an up-to-date knowledge of data modelling, analysis and data management methods and tools.
• Develop relationships with key functional teams across the organisation.
• Effectively communicate to a variety of audiences to share work or expertise, and communication of results and learnings via written reports and publications.

What can you expect from Mars?

• Work with over 130,000 diverse and talented Associates, all guided by the Five Principles.
• Join a purpose driven company, where we’re striving to build the world we want tomorrow, today.
• Best-in-class learning and development support from day one, including access to our in-house Mars University.
• An industry competitive salary and benefits package, including company bonus.

#LI-SS1

Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.

About Mars

We’re a unified force of 140,000+ Associates, taking action every day toward the world we want tomorrow. Our Five Principles have kept us true to ourselves and to our commitment to treat others in ways that are consistent with those values. Having stood the test of time, these principles will continue, keeping us free to move quickly and plan for the future. Quality - The consumer is our boss, quality is our work and value for money is our goal. Responsibility - As individuals, we demand total responsibility from ourselves; as Associates, we support the responsibilities of others. Mutuality - A mutual benefit is a shared benefit; a shared benefit will endure. Efficiency - We use resources to the full, waste nothing and do only what we can do best. Freedom - We need freedom to shape our future; we need profit to remain free. Note to Parents: https://www.mars.com/about/policies-and-practices/note-to-parents/np-english For more information, please visit mars.com. Follow us: facebook.com/mars, twitter.com/marsglobal, instagram.com/marsglobal/, youtube.com/mars, Mars, Incorporated is not responsible for any content or activity made available via third party sites or services. Page subject to: mars.com/legal mars.com/privacy

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