Lead-Decision Scientist
Tesco
Lead-Decision Scientist
Job Description
Please refer to You are Responsible For :-
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 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
- 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
Applied Math: Applied Statistics, Design of Experiments, Regression, Decision Trees, Forecasting, Optimization algorithms, Clustering, NLP
- Tech: SQL, Hadoop, Spark, Python, Tableau, MS Excel, MS Powerpoint, GitHub
- Business: Basic understanding of Retail domain
- Soft Skill: Analytical Thinking & Problem solving, Storyboarding, Stakeholder engagement,Leading team
At Tesco, inclusion is at the heart of everything we do. We believe in treating everyone fairly and with respect, valuing individuality and uniqueness to create a true sense of belonging. Diversity and inclusion are deeply embedded in our values—we treat people how they want to be treated. Our goal is for all colleagues to feel they can be themselves at work, and we are committed to helping them thrive. Across the Tesco group, we are building an inclusive workplace that actively celebrates the cultures, personalities, and preferences of our colleagues, who in turn contribute to the success of our business and reflect the diversity of the communities we serve.
At Tesco Bengaluru, we are proud to be a Disability Confident Committed Employer, highlighting our commitment to creating a supportive environment for individuals with disabilities. We are dedicated to offering equal opportunities for all candidates and encourage applicants with disabilities to apply. Our recruitment process is fully accessible, and we are happy to provide reasonable adjustments during interviews. If you need any accommodations to participate in the recruitment process, please let us know. We are here to ensure that everyone has the chance to succeed.
We also believe in fostering a work environment where you can excel both professionally and personally. Our hybrid model allows you to work flexibly—spend 60% of your week collaborating in person with colleagues at our office locations or local sites, and the rest of the time working remotely. We understand that everyone’s life journey is unique, whether you are starting your career, pursuing passions, or navigating life changes, and we are here to support you. Flexibility is a core part of our culture, and we encourage open conversations about how we can best accommodate your needs, so talk to us throughout your application process on the support required.
Locations
- Bengaluru, Karnataka, India, India
Salary
Estimated Salary Rangemedium confidence
600,000 - 1,500,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- SQLintermediate
- Hadoopintermediate
- Sparkintermediate
- Pythonintermediate
- Tableauintermediate
- MS Excelintermediate
- MS Powerpointintermediate
- GitHubintermediate
- Applied Statisticsintermediate
- Design of Experimentsintermediate
- Regressionintermediate
- Decision Treesintermediate
- Forecastingintermediate
- Optimization algorithmsintermediate
- Clusteringintermediate
- NLPintermediate
- Analytical Thinking & Problem solvingintermediate
- Storyboardingintermediate
- Stakeholder engagementintermediate
- Leading teamintermediate
Required Qualifications
- In depth understanding of data preparation techniques (experience)
- Building Statistical models and ML algorithms (experience)
- Writing structured, modularized & codified algorithms (experience)
- Basic understanding of Retail domain (experience)
Responsibilities
- Engaging with business partners to scope analytical solutions
- Preparing analytical data sets from complex sources
- Building Statistical models and ML algorithms
- Creating visualization layers
- Driving consumption of solutions and improvements
- Keeping up-to-date with data science and retail analytics
- Mentoring and leading team of Data Scientists
- Driving CI culture
Tags & Categories
Answer 10 quick questions to check your fit for Lead-Decision Scientist @ Tesco.
10 Questions
~2 Minutes
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Lead-Decision Scientist
Tesco
Lead-Decision Scientist
Job Description
Please refer to You are Responsible For :-
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 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
- 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
Applied Math: Applied Statistics, Design of Experiments, Regression, Decision Trees, Forecasting, Optimization algorithms, Clustering, NLP
- Tech: SQL, Hadoop, Spark, Python, Tableau, MS Excel, MS Powerpoint, GitHub
- Business: Basic understanding of Retail domain
- Soft Skill: Analytical Thinking & Problem solving, Storyboarding, Stakeholder engagement,Leading team
At Tesco, inclusion is at the heart of everything we do. We believe in treating everyone fairly and with respect, valuing individuality and uniqueness to create a true sense of belonging. Diversity and inclusion are deeply embedded in our values—we treat people how they want to be treated. Our goal is for all colleagues to feel they can be themselves at work, and we are committed to helping them thrive. Across the Tesco group, we are building an inclusive workplace that actively celebrates the cultures, personalities, and preferences of our colleagues, who in turn contribute to the success of our business and reflect the diversity of the communities we serve.
At Tesco Bengaluru, we are proud to be a Disability Confident Committed Employer, highlighting our commitment to creating a supportive environment for individuals with disabilities. We are dedicated to offering equal opportunities for all candidates and encourage applicants with disabilities to apply. Our recruitment process is fully accessible, and we are happy to provide reasonable adjustments during interviews. If you need any accommodations to participate in the recruitment process, please let us know. We are here to ensure that everyone has the chance to succeed.
We also believe in fostering a work environment where you can excel both professionally and personally. Our hybrid model allows you to work flexibly—spend 60% of your week collaborating in person with colleagues at our office locations or local sites, and the rest of the time working remotely. We understand that everyone’s life journey is unique, whether you are starting your career, pursuing passions, or navigating life changes, and we are here to support you. Flexibility is a core part of our culture, and we encourage open conversations about how we can best accommodate your needs, so talk to us throughout your application process on the support required.
Locations
- Bengaluru, Karnataka, India, India
Salary
Estimated Salary Rangemedium confidence
600,000 - 1,500,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- SQLintermediate
- Hadoopintermediate
- Sparkintermediate
- Pythonintermediate
- Tableauintermediate
- MS Excelintermediate
- MS Powerpointintermediate
- GitHubintermediate
- Applied Statisticsintermediate
- Design of Experimentsintermediate
- Regressionintermediate
- Decision Treesintermediate
- Forecastingintermediate
- Optimization algorithmsintermediate
- Clusteringintermediate
- NLPintermediate
- Analytical Thinking & Problem solvingintermediate
- Storyboardingintermediate
- Stakeholder engagementintermediate
- Leading teamintermediate
Required Qualifications
- In depth understanding of data preparation techniques (experience)
- Building Statistical models and ML algorithms (experience)
- Writing structured, modularized & codified algorithms (experience)
- Basic understanding of Retail domain (experience)
Responsibilities
- Engaging with business partners to scope analytical solutions
- Preparing analytical data sets from complex sources
- Building Statistical models and ML algorithms
- Creating visualization layers
- Driving consumption of solutions and improvements
- Keeping up-to-date with data science and retail analytics
- Mentoring and leading team of Data Scientists
- Driving CI culture
Tags & Categories
Answer 10 quick questions to check your fit for Lead-Decision Scientist @ Tesco.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs