National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Sr. AI Lead (Gen AI)

Wm. Wrigley Jr.
Windsor
4 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist III, ROW AOP

AI & Data Scientist

Industry Analyst / Data Scientist - Market Growth & Financial Modelling

JobDescription:

ChiefData Office (CDO) is a Mars Wrigley program that harnesses thepower of data and insights to solve some of the criticalbusiness-wide problems we face – unlocking quality growth andoperationalexcellence.

Through CDO, we deliver connectedinsights across the entire Snacking ecosystem. We empower ourAssociates with the right data, tools and capabilities so they cantake decisive action, maximizing value and making a meaningfulimpact on our consumers, our customers and ourbusiness.

This position willplay a key role in leading the Mars Snacking ecosystem into theever-evolving world of Generative AI. This role will lead Gen AIprojects in planning and execution across varying types of usecases (creative and processionary). They will create and defineframeworks, guidelines and standards to make sure that MarsSnacking is taking full advantage of thisfield.

They will also be expected to playhands-on when required and be able to guide the broader DataScience community through complex Gen AI and LLMOpsprojects.

What arewe lookingfor?

  • 7+years of experience working in a quantitative role preferably inthe CPG, or retail industry.
  • 4+ years ofexperience managing a team of data scientists, product analysts ordata analysts
  • Proven track record of deliveringvalue through AI/ Data Science products in a fast-paced,agileenvironment using a scalable and reusablecodebase and models to address business problemseffectively.
  • Partner with businessleadershipacross functions to identify businesschallenges and opportunities and translate them unto actionable,integrated, data-driven solutions.
  • An expertunderstanding of LLMs, ML Ops, LLM Ops and pertinent designarchitecture elements.
  • An understanding ofproduct management principles such as product definition, roadmapbuilding and management, and product releases andcommercialization
  • Hands on experience inbuilding Agents and leveraging emerging technologies withinMicrosoft and Google to design an agenticecosystem.
  • A strong customer centric mindsetespecially within an internal customer base with the purpose ofdriving value creation, adoption anduse
  • Strategic thinking, problem solving andinnovation, with the ability to anticipate and navigate challengesand opportunities. 
  • Ensure compliance withanalytics standards, including tailoring methodologies to specificuse case needs such as ML, AI, and descriptiveanalytics.
  • Ability to translate business needsinto analytical frameworks & superior verbal and writtencommunication skills
  • Proficiency and hands-onexperience in advanced analytics techniques and machine learningalgorithms, including NLP, time-series analysis and other relevantmethods and willingness to coach data scientiststactically 
  • Working understanding of MLOps and DevOps frameworks
  • Working expertise ofOpenAI Endpoints, Google Vertex, Google Model Garden and MicrosoftSuite of AIModels.

Whatwill be your keyresponsibilities?

  • Serveas the key lead for Gen AI and LLM Ops in the Mars SnackingCommunity
  • Applies strong expertise in AIthrough use of machine learning, data mining, and statisticalmodels to design, prototype and build next generation ML enginesand services 
  • Design, architect and reviewtechnical architecture of data sciencesolutions
  • Plan and lead data science projectsthat cover a diverse range of businessproblems
  • Serve as key point of contact withData Engineering and DevOps teams, for solution architecture andinfrastructure design
  • Review work of teammembers identifying optimum methodologies, advising onimplementation, and checking business logic
  • Usemachine learning techniques, visualizations, & statisticalanalysis to gain insight into various data sets – some readilyavailable, and some you create and curateyourself 
  • Collaborate with internal andexternal teams to ensure we focus on product and servicerecommendations and be a key player in our network oftalent
  • Contribute to a high performing datascience function 
  • Create repeatable,interpretable, dynamic and scalable models that are seamlesslyincorporated into analytic dataproducts
  • PerformanceMonitoring: Define key performance indicators(KPIs) and implement monitoring systems for deployed data platformsand products to ensure efficient operations data operations,effective support services and incidentmanagement.
  • Solution ideationand Development: Guide a team of datascientists to create fit for purpose solutions using cutting edgeanalytical and AImethodologies.
  • Focus onsetting up a Data Science AI program and deliverymethodology: Entails, recruiting and forming ateam to solve a specific problem; elaborating on a programmaticmindset and tracking valuedelivery

Whatcan you expect fromMars?

  • Work with diverse andtalented Associates, all guided by the FivePrinciples.
  • Join a purpose driven company,where we’re striving to build the world we want tomorrow,today.
  • Best-in-class learning and developmentsupport from day one, including access to our in-house MarsUniversity.
  • An industry competitive salary andbenefitspackage, including companybonus.

#TBDDT

Marsis an equal opportunity employer and all qualified applicants willreceive consideration for employment without regard to race, color,religion, sex, sexual orientation, gender identity, nationalorigin, disability status, protected veteran status, or any othercharacteristic protected by law. If you need assistance or anaccommodation during the application process because of adisability, it is available upon request. The company is pleased toprovide such assistance, and no applicant will be penalized as aresult of such a request.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.