Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Data Science Manager role.
Rezi rewrites your resume against John Lewis Partnership's job description. Free.
Tailor your resume to this Data Science Manager role.
Rezi rewrites your resume against John Lewis Partnership's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Data Science Manager posting at John Lewis Partnership — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Data Science Manager posting at John Lewis Partnership — free, in seconds.
About the Role
This role focuses on driving insight-driven, customer-centric decisions within the Commercial, Retail, and Supply Chain domains. You will collaborate with cross-functional teams to identify opportunities for improvement, leveraging analytical skills to enhance decision-making speed and quality. The position involves solving problems like demand forecasting, price optimization, and constrained optimization tasks, contributing to a central Data Science team serving John Lewis and Waitrose. The role requires a hands-on approach to building and deploying business solutions alongside stakeholders, Data Scientists, and ML Engineers.
Responsibilities
- Improve business decision making using data science methods.
- Accountable for the roadmap and deliverables within an assigned business domain.
- Manage associated stakeholders and team members within the assigned domain.
- Analyze and link complex data sets to support actionable insights and recommendations.
- Identify opportunities to drive business impact with data science.
- Transform data and build models to optimize customer experience, profit, revenue generation, cost reduction, and other business outcomes.
- Convey a thorough understanding of statistics, machine learning, and AI benefits and use cases to various audiences.
- Design and develop end-to-end solutions to business problems, from problem definition to implementation and adoption.
- Embrace agile working practices, set technical best practices, and apply AI tools to enhance productivity.
- Partner with multidisciplinary agile teams to drive technical product delivery.
Requirements
- Proficient in data science with coding experience in Python and SQL.
- Ability to mentor others in data science.
- Experience with ML Ops (Vertex AI).
- Experience with Git version control.
- Experience with software engineering best practices while using AI.
- 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.
- Adept at working with stakeholders to identify and prioritize key problems.
- Optimize against KPIs to achieve stakeholder objectives.
- Passion for continuous learning and applying AI tools effectively.
- Work experience within the Retail or Grocery sectors (desirable).
- Hands-on experience with Agile methodologies in multidisciplinary product teams (desirable).
- Experience applying software engineering best practices (e.g., modern tech stack usage like Snowflake, DBT, GitLab) (desirable).
- Experience working with Cloud technologies (specifically Google Cloud Platform) (desirable).
- Previous people management experience (desirable).
Skills
- Data Science
- Python
- SQL
- ML Ops (Vertex AI)
- Git
- Software Engineering Best Practices
- AI
- Statistics
- Machine Learning
- Agile Methodologies
- Cloud Technologies (Google Cloud Platform)
- Snowflake
- DBT
- GitLab
Location
- Bracknell Head Office
- Bracknell Campus, Doncastle Road, Bracknell, Berkshire, RG12 8YA
Work Type
- Hybrid working
- Permanent
- Full-time
Experience Level
- Depending upon experience
Salary/Compensations
- £62,000 - £85,000
- £62,000.00 - £115,000.00 Annual
About the Company
- The Partnership is the largest employee-owned business in the UK, home to John Lewis and Waitrose.
- The company's purpose is to build a happier world.
- The company is focused on being brilliant at retail, innovating, adapting, and diversifying.
- Partners share responsibility for ownership and its rewards, contributing to success and treating everyone with kindness and respect.
- The company fosters an environment where everyone belongs, can be themselves, and can thrive.
- Some roles are subject to pre-employment vetting, including DBS checks and financial probity checks.