Summary: The Data Science Manager role focuses on enhancing customer-centric decision-making within the Commercial, Retail, and Supply Chain domains by leveraging data science techniques. The position involves collaborating with various stakeholders to identify opportunities for improvement, utilizing analytical skills to solve complex business problems, and developing end-to-end solutions. The successful candidate will be part of a central Data Science team and will play a hands-on role in shaping business solutions. This is a hybrid position, requiring both remote work and attendance at the London office.

Key Responsibilities:

• Analyze and link complex data sets to support actionable insights and recommendations.
• Identify and take ownership of opportunities to drive business impact using data science.
• Transform data and build models to optimize customer experience and business outcomes.
• Design and develop end-to-end solutions for business problems, from problem definition to implementation.
• Collaborate with stakeholders to improve business decision-making using data science methods.
• Manage the roadmap and deliverables within assigned business domains.
• Convey understanding of statistics and machine learning benefits to various audiences.

Key Skills:

• Proficient in data science with coding experience in Python and SQL.
• Experience with ML Ops (Dataiku and Vertex AI) and Git version control.
• Strong problem-solving skills and passion for applying new data science techniques.
• Excellent communication skills and experience working in cross-functional teams.
• Ability to build data science roadmaps with stakeholders and optimize against KPIs.
• People management experience and familiarity with retail and grocery work.
• Experience using Agile methodologies and Cloud technologies (ideally GCP).

Salary (Rate): 85000

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT