Analyst, Data Science job opportunity at Diageo.



DateMore Than 30 Days Ago bot
Diageo Analyst, Data Science
Experience: 3-years
Pattern: full-time
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Salary:
Status:

Data Science

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degreeHigh School (S.S.C.E)
loacation Bangalore, India, India
loacation Bangalore, Ind..........India

Job Description : Job Title: Analyst, Data Science                                   About us : With over 200 brands sold in nearly 180 countries, we’re the world’s leading premium drinks company. Bring your passion and use your curiosity as you explore, collaborate, and innovate to build brands consumers love. Together with passionate people from all over the world, you’ll test new ideas, learn and grow, and unlock a brighter, more exciting future. About the Function:  Our Digital and Technology (D&T) team are innovators, delivering ground-breaking solutions that will help build the future of our iconic brands. Technology touches every part of our business, from the sourcing of balanced ingredients to marketing and development of our online platforms. We utilise data insights to build competitive advantage, supporting our people to deliver value faster. Our D&T team includes some of the most hard-working digital professionals in the industry. Every day, we come together to push boundaries and innovate, crafting the digital solutions of tomorrow. Whatever your passion, we’ll help you become the best you can be, crafting career-defining work and delivering breakthrough thinking. Experience / skills required: 2 to 3 years of hands-on experience & knowledge in Data Science or Machine Learning Algorithms Hands on experience in solving various advanced analytics use cases such as segmentation, forecasting, optimization, key driver/causal analysis, recommendation systems, predictive modelling, etc. Both theoretical & hands on knowledge of application of different advanced analytics methodologies like: Clustering, Time Series Forecasting, Multivariate Regression and forecasting, Logistic Regression, Linear & Non-Linear Optimization, ML Models like Random Forest, GBM, SVM, etc. Strong language coding skills required in Python/pyspark. Knowledge & experience in SQL database & MLOps. Good to have knowledge in the areas of Product Assortment, Marketing Mix Modelling, Demand Forecasting etc. Good to have skills in Natural Language Processing, Big Data Analytics, etc. Good to have working knowledge in Azure/Azure Databricks, Alteryx, Dataiku, S3, Power shell scripting, Windows Batch scripting. Prior advanced analytics experience in CPG or Alcohol Beverage industry is a plus. Have a hands-on approach with a proven ability to work independently with minimal supervision to deliver results Flexible Working Statement: Flexibility is key to our success. From part-time and compressed hours to different locations, our people work flexibly in ways to suit them. Talk to us about what flexibility means to you so that you’re supported from day one. Diversity statement: Our purpose is to celebrate life, every day, everywhere. And crafting an inclusive culture, where everyone feels valued and that they can belong, is a crucial part of this. We embrace diversity in the broadest possible sense. This means that you’ll be encouraged and celebrated for who you are just by being you. You’ll be part of and help build and champion an inclusive culture that celebrates people of different gender, ethnicity, ability, age, sexual orientation, social class, educational backgrounds, experiences, attitudes, and more. Our ambition is to build the best performing, most trusted and respected consumer products companies in the world. Join us and help transform our business as we take our brands to the next level and build new ones as part of shaping the next generation of celebrations for consumers around the world. Feel inspired? Then this may be the opportunity for you.  If you require a reasonable adjustment, please ensure that you gain this information when you submit your application. Worker Type : Regular Primary Location: Bangalore Karle Town SEZ Additional Locations : Job Posting Start Date : 2025-09-05

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