Research Data Scientist

4w1 month ago

dunnhumby

IN · Full-time · INR 1,500,000 – INR 3,000,000

About this role

dunnhumby is the global leader in Customer Data Science, partnering with the world's most ambitious retailers and brands to put the customer at the heart of every decision. As a Research Data Scientist, you will be at the forefront of our research data science team, translating complex business problems into data science problems and solving them with scalable, state-of-the-art AI algorithms.

In this role, you will prototype solutions using Python and Spark to facilitate development and testing of algorithms on large data sets. You will apply and extend experimental design methodology to conduct rigorous measurement of treatment effects, and research the latest machine learning approaches to keep our solutions cutting-edge.

You will join a team of nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas, working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever, and Metro. The environment combines deep insight, advanced technology, and close collaboration to help clients grow, innovate, and deliver measurable value.

You will help identify new opportunities within the Data Science space for future dunnhumby solutions, learning from experts and growing your career within the organisation. We invest in cutting-edge technology that reflects our global ambition, while maintaining a nimble, small-business feel that gives you the freedom to play, experiment, and learn.

Requirements

Degree or equivalent in a statistical or mathematical subject
2-5 years of experience in Data Science
Good understanding of statistics and mathematical methodologies including forecasting, regression, linear models, time series, hypothesis tests, and optimisation
Good understanding of machine learning techniques with applications to classification, prediction, and clustering
Good working knowledge of databases, including SQL, relational and non-relational data models
Experience using algorithms at scale: ANCOVA, linear models with regularization, clustering, random forests, XGBoost
Good grasp of Object-Oriented Programming
Ability to quickly learn open-source statistics and machine learning packages including Pandas, SciPy, Scikit-learn, and TensorFlow

Responsibilities

Translate complex business problems into data science problems and solve them with scalable, state-of-the-art AI algorithms
Prototype solutions using Python and Spark to facilitate development and testing of algorithms on large data sets
Apply and extend experimental design methodology to conduct rigorous measurement of treatment effects
Research the latest machine learning approaches to identify new opportunities for future dunnhumby solutions
Use algorithms at scale including ANCOVA, linear models with regularization, clustering, random forests, and XGBoost
Work with databases including SQL, relational and non-relational data models to support data science workflows

Benefits

Comprehensive rewards package from a leading technology company
Personal flexibility and thoughtful perks, including flexible working hours and your birthday off
Investment in cutting-edge technology with a nimble, small-business feel that encourages experimentation and learning
Thriving diversity and inclusion networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled, and dh Thrive
Open to discussing agile working opportunities during the hiring process