
Tesco Business Solutions is hiring a Lead Decision Scientist to transform retail strategy with AI/ML. Competitive salary (£90K+), hybrid work, and leadership opportunities.
Table of Contents
Job Title: Lead Decision Scientist
Location: India
Job Type: Full Time
Read Also:-
- AI/ML Validation Engineer: Join SEMI LEAF’s Elite Team & Earn 15-25 LPA!
- Elite Senior AI Engineer – £90K LPA | Transform AI Innovation at Scrumconnect Consulting
- Explosive Growth of DevOps Engineer Jobs in 2025: AI’s Game-Changing Revolution
- The Future is Here: How AI-Powered Work-From-Home Walk-In Interviews Will Dominate Hiring in 2025
- The Future of AI and Data Science Jobs in 2025: Explosive Growth, Trends, and High-Paying Opportunities
About the job
About the role
Enterprise Analytics
Job Location: Bengaluru
Department: Analytics
Site Location: Bengaluru Work Level
Descriptor:
Job Summary:
Lead Decision Scientist – Tesco
Lead solution scoping and development to drive Enterprise Analytics team’s partnership with Business teams across Tesco to enable data driven decisions and deliver on the organization’s key strategic priorities
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:
- Represent Talent Acquisition in all forums/ seminars pertaining to process, compliance and audit
- Perform other miscellaneous duties as required by management
- Driving CI culture, implementing CI projects and innovation for withing the team Engaging with business & functional partners to understand business priorities, ask relevant questions and scope same into an 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
- Proactively driving consumption of solutions developed by the team and owning the initiative to identify and address areas of improvement in the larger Tesco business
- Keeping up-to-date with the latest in data science and retail analytics and disseminating the knowledge among colleagues
- Mentoring and leading a small team of Applied Data Scientists to deliver high impact analytics projects
You will be responsible for
Refer to “About the role”
You will need
Lead Decision Scientist – Tesco
Key people and teams I work with in and outside of Tesco: People, budgets and other resources I am accountable for in my job:
Enterprise Analytics Senior Management NA Partners across the global Tesco business, Tesco Business Solution,s Senior Management Operational skills relevant for this job: Experience relevant to this job:
- Applied Math: Applied Statistics, Design of Experiments,
- 5+ years of experience in data science applications in Regression, Decision Trees, Forecasting, Optimization, delivering analytics solutions in industries such as retail, algorithms, Clustering, NLP consumer packaged goods (CPG), telecom, or hospitality
- Tech: SQL, Hadoop, Spark, Python, Tableau, MS Excel, MS preferred PowerPoint, GitHub
- Exposure to functional areas like marketing, supply chain,
- Business: Basic understanding of the Retail domain, customer analytics, merchandising, operations, finance, or digital
- Soft Skill: Analytical Thinking & Problem-solving, analytics, Storyboarding, Stakeholder engagement, Leading
What’s in it for you?
At Tesco, we are committed to providing the best 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 families. 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.
About Us
Tesco in Bengaluru is a multi-disciplinary team serving our customers, communities, and planet a little better every day across markets. Our goal is to create a sustainable competitive advantage for Tesco by standardising processes, delivering cost savings, enabling agility through technological solutions, and empowering our colleagues to do even more for our customers. With cross-functional expertise, a wide network of teams, and strong governance, we reduce complexity, thereby offering high-quality services for our customers.
Tesco in Bengaluru, established in 2004 to enable standardisation and build centralised capabilities and competencies, makes the experience better for our millions of customers worldwide and simpler for over 3,30,000 colleagues.
Tesco Business Solutions:
Established in 2017, Tesco Business Solutions (TBS) has evolved from a single entity traditional shared services in Bengaluru, India (from 2004) to a global, purpose-driven solutions-focused organisation. TBS is committed to driving scale at speed and delivering value to the Tesco Group through the power of decision science. With over 4,400 highly skilled colleagues globally, TBS supports markets and business units across four locations in the UK, India, Hungary, and the Republic of Ireland.
The organisation underpins everything that the Tesco Group does, bringing innovation, a solutions mindset, and agility to its operations and support functions, building winning partnerships across the business. TBS’s focus is on adding value and creating impactful outcomes that shape the future of the business. TBS creates a sustainable competitive advantage for the Tesco Group by becoming the partner of choice for talent, transformation, and value creation
How to Apply:
Please submit your resume and cover letter through Submit Resume to apply for this position.
Apply Here
Join Our WhatsApp Community: Get Updates
Join Our Telegram Channel: Get Updates
Follow Us on Instagram: Get Updates
devops job updates
Q: What’s the salary range for a Lead Decision Scientist at Tesco?
A: The role offers £90,000+ per annum, with bonuses and benefits.
Q: What skills are needed for this role?
A: Tesco seeks 5+ years in ML, Python/SQL, and retail analytics, plus leadership experience.