Decision Scientist

Job Title: Decision Scientist

Job Summary: Develop cutting edge solutions, in the form of reusable IP assets, leveraging deep science and AI/ML to solve high impact business problems that serve Tesco's strategic goals.

In this job, Im accountable for:

- Participating in connects with business & functional partners to understand the ground level business context

- Developing and applying an understanding of the required AI/ML models, statistics techniques and analytical tools to develop robust solutions that solve high impact problems

- Writing structured, modularized & codified algorithms using Continuous Improvement principles (development of knowledge assets and reusable modules on GitHub, Wiki, etc.)

- Taking ownership of assigned tasks and adhering to company policies and team ways of working

- Working autonomously in an agile manner towards thorough and timely completion of defined tasks, while maintaining a high quality of delivery, to achieve expected outcomes

- Effectively communicating the work done with peers as well as to market partners

- Working closely with the manager to ensure that the solution is developed with consumption in mind

- Keeping up-to-date with the latest in AI/ML and retail analytics concepts and disseminating the knowledge among colleagues

- Working in collaboration with the team and actively contributing to team discussions

Experience relevant for this job:

- 1 - 3 years' work experience (or equivalent research experience) in AI/ML development in Retail or CPG preferred

- Functional experience: Marketing, Supply Chain, Customer, Merchandising, Operations, Finance or Digital

- Preferred: Master's degree in Computer Science, AI, or a related technical field

Skills : SQL , Python, Machine learning

Operational skills relevant for this job:

- Math/Statistics: Foundational proficiency in Statistical methods and Hypothesis testing.

- AI/ML: Hands-on experience in 2-3 AI/ML techniques and applications: Clustering, Regression, Classification, Time series forecasting, Optimization, Recommendation Engine, etc.

- Programming: Strong skills in SQL, Python.

- Research and Development: Experience in researching and developing AI/ML solutions.

- Soft Skills: Analytical thinking, Problem-solving