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Senior Decision Scientist

Senior Decision Scientist

ConfidentialBengaluru / Bangalore, India
30+ days ago
Job description

About the role

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

You will be responsible 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 KPI's- 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

You will need

  • 2 - 4 years of experience in data science application in Retail or CPG  Preferred- Functional experience : Marketing, Supply Chain, Customer, Merchandising, Operations, Finance or Digital
  • 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 Skills : Analytical Thinking & Problem solving, Storyboarding, Articulate communication

    Whats 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 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.

    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

    Skills Required

    Ms Excel, Github, Forecasting, Hadoop, Optimization Algorithms, Tableau, applied math , Regression, design of experiments, Clustering, Sql, Nlp, Spark, Decision Trees, Ms Powerpoint, Python

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