Research Data Scientist at dunnhumby

Gurugram, Haryana, India

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Retail, Consumer GoodsIndustries

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 used – especially forecasting, regression, linear models, time series, hypothesis tests and optimisation
Ability to prototype solutions using Python and Spark to facilitate development and testing of algorithms on large data sets
Good understanding of machine learning techniques, with applications to classification, prediction and clustering
Ability to apply and extend experimental design methodology to conduct rigorous measurement of treatment effects
Good working knowledge of databases, including SQL, relational and non-relational data models
Experience of using following algorithm at scale: Ancova, linear models with regularization, clustering, random forests, xgboost
Research the latest machine learning approaches
Good grasp of Object-Oriented Programming
Ability to quickly learn open-source statistics and machine learning packages – Pandas, SciPy, Scikit-learn, TensorFlow
Experience in developing solutions related to Market Mix Modelling, Causal AI and Generative AI

Responsibilities

Translate a complex business problem into a data science problem and solve that with scalable and state-of-the art AI algorithms
Help identify new opportunities within the Data Science space for future dunnhumby solutions

Skills

Python

Spark

Statistics

Forecasting

Regression

Linear Models

Time Series

Hypothesis Tests

Optimisation

Machine Learning

Classification

Prediction

Clustering

Experimental Design

dunnhumby

Customer data analytics for retail optimization

About dunnhumby

dunnhumby specializes in Customer Data Science, focusing on enhancing customer experiences for retailers and brands through data analysis. The company uses advanced analytics to interpret customer behavior, preferences, and trends, which allows clients to implement targeted marketing campaigns. Instead of storing personal data, dunnhumby analyzes data using unique identifiers from browsers and devices to maintain privacy. Its services include media solutions, customer insights, and personalized marketing strategies, which help clients improve customer engagement and sales. Additionally, dunnhumby Ventures invests in early-stage retail technology startups, ensuring the company remains at the forefront of retail innovation. The main goal of dunnhumby is to empower businesses to create better customer experiences through data-driven insights.

London, United KingdomHeadquarters

1989Year Founded

BUYOUT_LBOCompany Stage

Data & Analytics, Consulting, Venture Capital, Consumer GoodsIndustries

1,001-5,000Employees

Benefits

Flexible Work Hours

Unlimited Paid Time Off

Remote Work Options

Risks

Departure of key media team member may disrupt dunnhumby's media strategy.

Challenges in integrating startups with enterprises could misalign innovation goals.

Data privacy concerns may arise from partnerships, affecting client trust.

Differentiation

dunnhumby leverages AI to optimize product selection and inventory management.

The company offers a unique Competitive Threat Evaluator for strategic market insights.

dunnhumby partners with startups through its Retail Innovation Network to drive retail tech.

Upsides

Real-time data analytics partnerships enhance dunnhumby's market adaptability.

AI-powered tools position dunnhumby as a leader in competitive retail analysis.

The Retail Innovation Network fosters collaboration, boosting innovation in retail technology.

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