Data Science Manager

Tesco Technology; Bengaluru; On-site; INR 6,75,000 - 9,00,000; Full time

Job summary

A leading retail technology firm in India is seeking a Data Science Manager to oversee innovation and AI governance. You will manage a team, develop ethical AI frameworks, and collaborate across various domains. Ideal candidates will have a strong numerical background, high-level Python expertise, and experience in managing data science projects. This role offers competitive pay, comprehensive benefits, and a supportive workplace.

Benefits

Competitive fixed pay

30 days of leave

Comprehensive medical insurance

Access to mental health support

Financial wellbeing programmes

Physical wellbeing initiatives

Qualifications

• Strong numerical background and analytical mindset.
• High-level expertise in Python and machine learning.
• Experience with software engineering best practices.

Responsibilities

• Own the innovation process across technical domains.
• Develop AI governance frameworks for ethical practices.
• Line-manage data scientists and provide mentorship.

Skills

Numerical background

Analytical mindset

Python expertise

Machine learning

Software engineering practices

Open-source technologies

AI ethics knowledge

Risk management familiarity

Excellent communication

Management experience

Retail sector experience

Education

Higher degree in mathematics, science, engineering or computer science

Job description

Join to apply for the Data Science Manager role at Tesco Technology.

About the role

Job Title: Data Science Manager – AI Governance; Innovation.
Team: Tesco Data Science Team focused on modelling complex business problems and deploying data‑products at scale across physical stores, online, supply chain, marketing, Clubcard and more.

The team tackles domains such as online, pricing, security, fulfilment, distribution, property, IoT and computer vision, encouraging rotation among data scientists to build deep expertise. Approximately 10% of the week is dedicated to learning and personal development.

Key Responsibilities

• Own the innovation process across all business and technical domains, leading the development of data‑science algorithmic features.
• Develop, implement and manage AI governance frameworks to ensure ethical and responsible AI practices, monitoring compliance with regulations and standards.
• Set up teams and projects for success by ensuring appropriate resourcing and unblocking difficult situations.
• Frame and scope data‑science problems across multiple projects.
• Line‑manage data scientists, providing guidance, mentorship and support in their daily work.
• Help define the strategic direction of the overall team, trading off conflicting priorities.
• Conduct risk assessments and collaborate with legal, compliance and technical teams to address governance issues and educate employees on AI policies and procedures.
• Partner with Engineering to design complex software systems and influence the wider team architecture.
• Promote data science across Tesco and represent Tesco in the external data‑science community.

Qualifications & Skills

• Strong numerical background – a higher degree in mathematics, science, engineering or computer science focused on data science.
• Analytical mindset and ability to apply academic knowledge to specific business problems.
• High‑level expertise in Python and machine learning.
• Experience with software engineering best practices (SDLC) and designing reliable, scalable ML systems.
• Experience with open‑source big‑data technologies and cloud platforms, and setting up/managing open‑source data‑science environments.
• Knowledge of AI ethics, legal and regulatory frameworks related to AI and data protection, and experience in data governance.
• Familiarity with risk management and compliance frameworks.
• Excellent communication skills – ability to explain complex technical concepts to non‑technical stakeholders.
• Proven management and leadership experience: hiring, building high‑performing data‑science teams, driving innovation projects, influencing senior stakeholders, and setting strategic direction.
• Experience in AI governance projects, collaborating with legal, compliance and technical teams, and coaching/mentoring others.
• Experience in the retail sector, logistics or ecommerce is advantageous but not required.

Benefits

• Competitive, market‑competitive fixed pay, incentives and benefits framework.
• 30 days of leave (18 days earned leave, 12 days casual/sick leave) plus 10 national and festival holidays.
• Statutory retirement benefits and voluntary programmes such as NPS and VPF.
• Comprehensive medical insurance covering dependents.
• Access to mental health support, community groups, counselling and wellness programmes.
• Financial wellbeing programmes including coaching, salary advances and savings plans (SAYE).
• Physical wellbeing initiatives with green campus facilities: cricket pitch, football/volleyball courts, badminton, indoor games and healthy lifestyle encouragement.

Job Details

Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Engineering and Information Technology
Industry: Retail