Job Description

Job Description:

This role is a project-based transformation role and has a current expected end date of ‘31st December 2026’. As we move closer to ‘31st December 2026’, we will work with you to explore other opportunities for employment within the Mars family of companies. If a suitable alternative role is not available at that time, your employment will end. Do you feel comfortable entering recruitment for this role, given that it is project-funded and would require you to secure your next full-time or promotional opportunity with Mars before December 31, 2026?

Join the Chief Data Office (CDO) at Mars, where we leverage data and insights to tackle critical business challenges and fuel growth within our Snacking division. This is your chance to lead the charge into the dynamic realm of Generative AI, spearheading innovative projects that encompass a wide range of use cases—from creative applications to process optimization.

In this pivotal role, you will engage with senior stakeholders at the VP level and present your insights to executives, crafting compelling narratives that highlight the business value of our Mar GPT initiatives. You will be instrumental in establishing frameworks, guidelines, and standards that empower our teams to fully harness the potential of Generative AI, driving significant efficiencies and innovation across the organization.

As a hands-on product owner, you will guide the broader Data Science community through complex Gen AI and LLMOps projects, ensuring successful planning and execution. Your expertise will be key in navigating the ever-evolving landscape of Generative AI, making a lasting impact on our Snacking ecosystem.

What are we looking for?

  • Bachelor's Degree with a minimum of 5 years of experience required; Master's degree preferred.

  • 7+ years of experience in a quantitative role, preferably within the CPG or retail industry.

  • 4+ years of experience managing teams of data scientists, product analysts, or data analysts.

  • Proven track record in delivering AI/Data Science products in fast-paced, agile environments.

  • Expertise in LLMs, ML Ops, and relevant design architecture elements.

  • Hands-on experience in building agents and leveraging emerging technologies within Microsoft and Google.

  • Strong customer-centric mindset with a focus on value creation and adoption.

What will be your key responsibilities?

  • Lead Innovation: Serve as the key lead for Gen AI and LLM Ops within the Mars Snacking Community, driving transformative projects that redefine how we leverage data.

  • Design Next-Gen Solutions: Apply your strong expertise in AI to design, prototype, and build next-generation ML engines and services that will have a lasting impact on our business.

  • Collaborate Across Functions: Work closely with Data Engineering and DevOps teams to architect solutions that meet diverse business needs, ensuring seamless integration and functionality.

  • Mentor and Inspire: Guide and mentor a talented team of data scientists, fostering a culture of innovation and excellence while creating fit-for-purpose solutions using cutting-edge analytical methodologies.

  • Drive Strategic Insights: Utilize machine learning techniques and visualizations to derive actionable insights from data, empowering decision-making at all levels of the organization.

  • Performance Monitoring: Define key performance indicators (KPIs) and implement monitoring systems for deployed data platforms, ensuring efficient operations and continuous improvement.

What can you expect from Mars?

  • Work with 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 a company bonus.

  • Be part of a transformative journey that not only enhances your career but also contributes to the future of Mars Snacking and the broader industry.

#TBDDT

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.

Company benefits

Open to part-time employees
Open to job sharing
Open to compressed hours
Sabbaticals
Enhanced maternity leave – 26 weeks at 90% pay
Enhanced paternity leave – 26 weeks at 90% pay
24 days annual leave + bank holidays
“Pawternity” leave
Pregnancy loss leave
Bank holiday swaps
Shared parental leave
Adoption leave
Family health insurance
Pregnancy support
Neo-natal leave
Faith rooms
Meditation space
Dog friendly office
Dog friendly co-working space
Annual bonus
Employee discounts
Cinema discounts
Referral bonus
Joining bonus
Cycle to work scheme
Electric Car Salary Sacrifice
Enhanced pension match/contribution
Theme park discounts
Lunch and learns
In house training
LinkedIn learning license
Studying sabbaticals
Open to part time work for some roles

Working at Mars UK

Company employees:

4,000 In the UK

Gender diversity (m:f):

57:43

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Awards & Accreditations

1st – Family Friendly

1st – Family Friendly

Flexa awards 2025
2nd – Pet Friendly

2nd – Pet Friendly

Flexa awards 2025
Flexible

Flexible

Flexa awards 2025
Diversity and Inclusion

Diversity and Inclusion

Flexa awards 2025
Work-Life Balance

Work-Life Balance

Flexa awards 2025
Career Progression

Career Progression

Flexa awards 2025
Culture

Culture

Flexa awards 2025
Benefits

Benefits

Flexa awards 2025
1st – Large companies

1st – Large companies

Flexa100 2024
Consumer Goods

Consumer Goods

Industry awards 2023
3rd – Large companies

3rd – Large companies

Flexa100 2023
Retail & Ecommerce

Retail & Ecommerce

Industry awards 2022

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