Senior Decision Scientist

Enable data driven decision making across the Tesco business globally by developing analytics solutions using a combination of math,
tech and business knowledge

As a result, our colleagues enjoy a unique, differentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day.

Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits.

Total Rewards offered at Tesco is determined by four principles - simple, fair, competitive, and sustainable.

Salary

- Your fixed pay is the guaranteed pay as per your contract of employment.

Performance Bonus

- Opportunity to earn additional compensation bonus based on performance, paid annually

Leave & Time-off

- Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays, as per the company s policy.

Making Retirement Tension-FreeSalary

- In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF.

Health is Wealth

- Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in-laws.

Mental Wellbeing

- We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents.

Financial Wellbeing

- Through our financial literacy partner, we offer one-to-one financial coaching at discounted rates, as well as salary advances on earned wages upon request.

Save As You Earn (SAYE)

- Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan.

Physical Wellbeing

- Our green campus promotes physical wellbeing with facilities that include a cricket pitch, football field, badminton and volleyball courts, along with indoor games, encouraging a healthier lifestyle.

In this job, I m accountable for:

Understands business needs and in depth understanding of Tesco processes Builds on Tesco processes and knowledge by applying CI tools and techniques. Responsible for completing tasks and transactions within agreed KPIs Solves problems by analyzing solution alternatives Engaging with business & functional partners to understand business priorities, ask relevant questions and scope same into a analytical solution document calling out how application of data science will improve decision making
In depth understanding of techniques to prepare the analytical data set leveraging multiple complex data set sources Building Statistical models and ML algorithms with practitioner level competency Writing structured, modularized & codified algorithms using Continuous Improvement principles (development of knowledge assets and reusable modules on GitHub, Wiki, etc) with expert competency
Building easy visualization layer on top of the algorithms in order to empower end-users to take decisions - this could be on a visualization platform (Tableau / Python) or through a recommendation set through PPTs
Working with the line manager to ensure application / consumption and proactively identifying opportunities to help the larger Tesco business with areas of improvement
Keeping up-to-date with the latest in data science and retail analytics and disseminating the knowledge among colleagues Key people and teams I work with in and outside of Tesco:
People, budgets and other resources

Experience relevant for this job:

Applied Math: Applied Statistics, Design of Experiments, 2 - 4 years experience in data science application in Retail or Regression, Decision Trees, Forecasting, Optimization
CPG Preferred
algorithms, Clustering, NLP
Functional experience: Marketing, Supply Chain, Customer, Tech: SQL, Hadoop, Spark, Python, Tableau, MS Excel, MS Merchandising, Operations, Finance or Digital
Powerpoint, GitHub
Business: Basic understanding of Retail domain Soft Skills: Analytical Thinking & Problem solving, Storyboarding, Articulate communication