Sr. AI Lead (Gen AI)

Wm. Wrigley Jr.

Maidenhead

3 days ago

Create job alert

Job Description:

Chief Data Office (CDO) is a Mars Wrigley program that harnesses the power of data and insights to solve some of the critical business-wide problems we face – unlocking quality growth andoperationalexcellence.

Through CDO, we deliver connected insights across the entire Snacking ecosystem. We empower our Associates with the right data, tools and capabilities so they can take decisive action, maximizing value and making a meaningful impact on our consumers, our customers and our business.

This position will play a key role in leading the Mars Snacking ecosystem into the ever-evolving world of Generative AI. This role will lead Gen AI projects in planning and execution across varying types of use cases (creative and processionary). They will create and define frameworks, guidelines and standards to make sure that Mars Snacking is taking full advantage of this field.

They will also be expected to play hands-on when required and be able to guide the broader Data Science community through complex Gen AI and LLMOps projects.

What are we looking for?

7+ years of experience working in a quantitative role preferably in the CPG, or retail industry.
4+ years of experience managing a team of data scientists, product analysts or data analysts
Proven track record of delivering value through AI/ Data Science products in a fast-paced,agileenvironment using a scalable and reusable codebase and models to address business problems effectively.
Partner with businessleadershipacross functions to identify business challenges and opportunities and translate them unto actionable, integrated, data-driven solutions.
An expert understanding of LLMs, ML Ops, LLM Ops and pertinent design architecture elements.
An understanding of product management principles such as product definition, roadmap building and management, and product releases and commercialization
Hands on experience in building Agents and leveraging emerging technologies within Microsoft and Google to design an agentic ecosystem.
A strong customer centric mindset especially within an internal customer base with the purpose of driving value creation, adoption and use
Strategic thinking, problem solving and innovation, with the ability to anticipate and navigate challenges and opportunities.
Ensure compliance with analytics standards, including tailoring methodologies to specific use case needs such as ML, AI, and descriptive analytics.
Ability to translate business needs into analytical frameworks & superior verbal and written communication skills
Proficiency and hands-on experience in advanced analytics techniques and machine learning algorithms, including NLP, time-series analysis and other relevant methods and willingness to coach data scientists tactically
Working understanding of ML Ops and DevOps frameworks
Working expertise of OpenAI Endpoints, Google Vertex, Google Model Garden and Microsoft Suite of AI Models.

What will be your key responsibilities?

Serve as the key lead for Gen AI and LLM Ops in the Mars Snacking Community
Applies strong expertise in AI through use of machine learning, data mining, and statistical models to design, prototype and build next generation ML engines and services
Design, architect and review technical architecture of data science solutions
Plan and lead data science projects that cover a diverse range of business problems
Serve as key point of contact with Data Engineering and DevOps teams, for solution architecture and infrastructure design
Review work of team members identifying optimum methodologies, advising on implementation, and checking business logic
Use machine learning techniques, visualizations, & statistical analysis to gain insight into various data sets – some readily available, and some you create and curate yourself
Collaborate with internal and external teams to ensure we focus on product and service recommendations and be a key player in our network of talent
Contribute to a high performing data science function
Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products
Performance Monitoring: Define key performance indicators (KPIs) and implement monitoring systems for deployed data platforms and products to ensure efficient operations data operations, effective support services and incident management.
Solution ideation and Development: Guide a team of data scientists to create fit for purpose solutions using cutting edge analytical and AI methodologies.
Focus on setting up a Data Science AI program and delivery methodology: Entails, recruiting and forming a team to solve a specific problem; elaborating on a programmatic mindset and tracking value delivery

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 andbenefitspackage, including company bonus.

#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.

Related Jobs

View all jobs

Senior Director, Data Science

Head of Research & Development (EMEA)

Sr Associate Data Analytics

Sr. Data Analyst, Risk Adjustment

Sr Data Scientist

PNE Data Foundations Sr. Lead

Get the latest insights and jobs direct. Sign up for our newsletter.

Industry Insights

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

Mar 12, 2025

Careers Jobs

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

Mar 9, 2025

Careers

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.

Mar 8, 2025

Jobs

Common Pitfalls Machine Learning Job Seekers Face and How to Avoid Them

Machine learning has emerged as one of the most sought-after fields in technology, with companies across industries—from retail and healthcare to finance and manufacturing—embracing data-driven solutions at an unprecedented pace. In the UK, the demand for skilled ML professionals continues to soar, and opportunities in this domain are abundant. Yet, amid this growing market, competition for machine learning jobs can be fierce. Prospective employers set a high bar: they seek candidates with not just theoretical understanding, but also strong practical skills, business sense, and an aptitude for effective communication. Whether you’re a recent graduate, a data scientist transitioning into machine learning, or a seasoned developer pivoting your career, it’s essential to avoid common mistakes that may hinder your prospects. This blog post explores the pitfalls frequently encountered by machine learning job seekers, and offers actionable guidance on how to steer clear of them. If you’re looking for roles in this thriving sector, don’t forget to check out Machine Learning Jobs for the latest vacancies across the UK. In this article, we’ll break down these pitfalls to help you refine your approach in applications, interviews, and career development. By taking on board these insights, you can significantly enhance your employability, stand out from the competition, and secure a rewarding position in the world of machine learning.