top 3 scores:
94%

Location flexibility

91%

Hours flexibility

90%

Autonomy

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Job Description

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 and operational excellence.

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.

The Sr. ML Lead will be the principal solution architect within Mars Snacking with the responsibility of making sure that each application is designed keeping in mind the AI strategy for Mars Snacking.

This position will also be responsible to guide and mentor the more junior members of the Data Science community.

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, agile environment using a scalable and reusable codebase and models to address business problems effectively.
  • Partner with business leadership across functions to identify business challenges and opportunities and translate them unto actionable, integrated, data-driven solutions.
  • Eagerness to learn, flexibility to pivot when needed, savviness to navigate and thrive in a dynamic environment, and a growth mindset needed to build a successful team
  • An understanding of product management principles such as product definition, roadmap building and management, and product releases and commercialization
  • 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
  • Familiarity with Microsoft Azure tech stack, including but not limited to Azure Data Factory, Synapse Analytics, Databricks, GCP

What will be your key responsibilities?

  • 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 and benefits package, 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.

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
Flexible working week
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

We asked employees of Mars UK what it's like to work there, and this is what they told us.

Location flexibility
94%
Employees are very happy with their working location freedom
Hours flexibility
91%
Employees are very happy with the flexibility in the hours they work
Benefits
84%
Employees are very happy with the benefits their company offers
Work-life balance
80%
Employees feel that they can switch off quite easily from work
Role modelling
81%
Employees feel that flexible working is part of the culture
Autonomy
90%
Employees feel they have complete autonomy over getting their work done

Additional employee ratings
(these do not contribute to the FlexScore®)

Diversity
75%
Employees feel that the diversity is good and there are continued efforts to improve it
Inclusion
78%
Employees feel that the culture supports equity and inclusivity well
Culture
86%
Employees feel like it is a really great environment to work in
Mission
84%
Employees feel very excited about and aligned with the company mission
Salary
70%
Employees feel that their salary is good and matches the value they bring

Working at Mars UK

Company employees

4,000 In the UK

Gender diversity (male:female)

57:43

Currently Hiring Countries

Brazil

Denmark

France

Ireland

Poland

Spain

United Kingdom

United States

Office Locations

Awards & Achievements

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