Data Science Innovation Lead

8 hours ago

Bengaluru, Karnataka, India Hirist Full time

About the Tesco Data Science Team

 

The Tesco Data Science Team focuses on solving complex business problems and deploying data-driven solutions at scale. Our work spans multiple areas, including physical stores, online platforms, supply chain management, marketing initiatives, and Clubcard loyalty programs. With opportunities for domain rotation to broaden expertise, our team covers diverse domains such as online commerce, pricing strategies, security measures, fulfillment processes, distribution networks, property management, IoT applications, and computer vision.

 

With a strong emphasis on learning and development, the team dedicates 10% of their week to acquiring new skills and knowledge. Enhanced by academic collaborations and knowledge-sharing events, this approach fosters a culture of innovation and continuous improvement.

 

Job Description:

 

We are seeking an experienced Data Science Manager to lead our innovation efforts and drive strategic direction. As a key member of the Tesco Data Science Team, you will be responsible for:

  • Driving innovation across technical and business domains, developing data science algorithmic features.
  • Establishing and managing frameworks for ethical and responsible AI practices, ensuring regulatory compliance.
  • Setting up and managing data science projects, ensuring appropriate resourcing and removing blockers.
  • Leading a team of data scientists, fostering their professional growth and development.
  • Shaping the strategic direction of the team, balancing priorities and risks effectively.
  • Partnering with legal, compliance, and technical teams on governance matters, conducting risk assessments and educating on AI policies.
  • Working with Engineering to design complex systems and influence team architecture.
  • Promoting data science both within Tesco and in the broader Data Science community.

 

Requirements:

 

To succeed in this role, you will need:

  • An advanced degree in Mathematics, Science, Engineering, or Computer Science, with a focus on Data Science.
  • Expertise in Python and a strong background in Machine Learning.
  • Proficiency in Software Engineering best practices (SDLC).
  • Experience in designing scalable ML systems and managing open-source Data Science environments.
  • Knowledge of Machine Learning, Data Science, and AI ethics.
  • Familiarity with legal and regulatory AI frameworks and data protection.
  • Experience in data governance, risk management, and compliance frameworks.

 

Estimated Salary Range:

 

Roughly ₹2-₹3 million per annum, based on industry standards and regional factors.

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