Research Data Scientist at dunnhumby

London, England, United Kingdom

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Data Science, RetailIndustries

Requirements

Master’s degree or equivalent in Computer Science, AI, ML, Statistics, Physics, Engineering, Biology, or a related field
PhD preferred
Programming experience, ideally in Python
Ability to handle large data volumes with modern processing tools (e.g., Hadoop, Spark, SQL)
Experience with discrete optimisation problems or the OR-Tools Python package
Experience building CI/CD pipelines
Experience with tools like Git for code management and collaboration
Experience building and maintaining highly available production systems on GCP, Azure, or AWS
Proficiency with machine learning techniques such as regularised regression, clustering or tree-based ensembles
Familiarity with open-source software, including machine learning packages (e.g., Pandas, scikit-learn), deep learning frameworks (such as PyTorch or TensorFlow), and data visualization tools
Adaptable and quick learner
Strong communication skills
Ability to break down complex problems and develop innovative, data-driven solutions

Responsibilities

Conduct research and analysis to identify business problems and develop data-driven solutions
Implement machine learning and statistical techniques to address complex problems
Perform data analysis and model validation
Present results to internal stakeholders
Collaborate with cross-functional teams to build and maintain data science capabilities
Develop and implement CI/CD pipelines
Build and maintain highly available production systems on GCP, Azure, or AWS
Work with open-source software, including machine learning packages (e.g., Pandas, scikit-learn), deep learning frameworks (such as PyTorch or TensorFlow), and data visualization tools
Stay up-to-date with industry trends and advancements in machine learning and data science
Participate in data science community and contribute to open-source projects
Develop and maintain documentation and knowledge base for data science tools and techniques
Work with data scientists and engineers to integrate data science capabilities into business processes
Participate in project planning, execution, and delivery

Skills

Machine Learning

Statistical Techniques

Data Analysis

Python

Data Modeling

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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