Decision Scientist

1 - 2 years

7 - 11 Lacs

Posted:2 days ago| Platform: Naukri logo

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Work Mode

Work from Office

Job Type

Full Time

Job Description

 

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

What is in it for you
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.
You will be responsible for
In this job, I m accountable for:

Following our Business Code of Conduct and always acting with integrity and due diligence and have these specific risk responsibilities:
Identifying operational improvements and finding solutions by applying CI tools and techniques Responsible for completing tasks and transactions within agreed KPIs Knows and applies fundamental work theories/concepts/processes in own areas of work 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 also think beyond the immediate ask and spot opportunities to address the bigger business questions (if any)
You will need
Experience relevant for this job:

Applied Math: Applied Statistics, Design of Experiments, Linear 1-2 year experience in data science application in Retail or CPG & Logistic Regression, Decision Trees, Forecasting, Optimization
Preferred algorithms
Functional experience: Marketing, Supply Chain, Customer, Tech: SQL, Hadoop, Python, Tableau, MS Excel, MS Merchandising, Operations, Finance or Digital
Powerpoint
Soft Skills: Analytical Thinking & Problem solving, Storyboarding
 

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Tesco logo
Tesco

Retail

Welwyn Garden City

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