Data Science Manager

John Lewis Partnership

. Help the Partnership make insight-driven, better informed, customer-centric decisions across Commercial, Retail and Supply Chain .

Posted 11/5/2026full-timeBracknell • United KingdomMid-LevelSenior💰 £62,000 - £85,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data science, proficient in Python and SQL, with a strong ability to build data science roadmaps and deliver end-to-end solutions. Capable of leveraging AI and machine learning to drive business impact and optimize processes within the Retail or Grocery sectors.

Highest-signal resume keywords

Data Science ProficiencyPython Coding ExperienceML Ops (Vertex AI)Agile MethodologiesStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisMachine LearningStatistical ModelingSQLPythonAI ToolsData TransformationKPI OptimizationRoadmap DevelopmentSoftware Engineering Best Practices

Soft Skills

Excellent CommunicationMentoring AbilityCross-Functional CollaborationProblem IdentificationContinuous Learning

Tools & Technologies

GitVertex AISnowflakeDBTGitLabGoogle Cloud Platform

Industry Keywords

RetailGroceryCustomer-Centric DecisionsAgile Working PracticesBusiness Outcomes

Tech Stack

Tools & technologies

CloudGoogle Cloud PlatformPythonSnowflakeSQL

About the role

Key responsibilities & impact

Help the Partnership make insight-driven, better informed, customer-centric decisions across Commercial, Retail and Supply Chain
Work closely with domain teams to understand their problems and identify improvement opportunities
Own the roadmap and deliverables within an assigned business domain
Manage associated stakeholders and team members within the domain
Analyse and link complex data sets to generate actionable insight and recommendations
Identify opportunities to drive business impact with data science
Transform data and build models to optimise customer experience, profit and revenue generation, cost reduction and other business outcomes
Explain the benefits and use cases of statistics, machine learning and AI to varied audiences
Design and develop end-to-end solutions from problem definition through implementation and business adoption
Embrace agile working practices, set technical best practices and apply AI tools to improve productivity and workflow efficiency
Partner with Senior Data Scientists, ML Engineers, Analysts and Architects to drive technical product delivery

Requirements

What you’ll need

Proficient in data science, with coding experience in Python and SQL
Ability to mentor others
Experience with ML Ops (Vertex AI)
Experience with Git version control and software engineering best practices
Ability to use AI effectively to augment software engineering best practices
Passion for tackling business challenges and applying new data science techniques
Excellent communication skills
Experience working in cross-functional teams
Ability to build data science roadmaps with stakeholders
Ability to identify and prioritise key problems and optimise against KPIs
Passion for continuous learning and applying AI tools to optimise work processes
Work experience within the Retail or Grocery sectors (desirable)
Hands-on experience with Agile methodologies in multidisciplinary product teams (desirable)
Experience with Snowflake, DBT and GitLab (desirable)
Experience with Google Cloud Platform (desirable)
Previous people management experience (desirable)

Benefits

Comp & perks

Hybrid working, primarily split between working from home and Bracknell Head Office
Flexible working, including flexible or compressed hours, job sharing or shorter hour contracts where possible
Permanent position
Employee ownership and participation in the rewards of the Partnership
Pre-employment vetting information and support where required