Senior Applied Data Scientist at dunnhumby

London, England, United Kingdom

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Retail, Consumer Packaged GoodsIndustries

Requirements

Proficiency in Python and SQL
Experience analysing customer behaviour and deriving actionable insights
Ability to learn quickly and adapt to new challenges
Strong communication and presentation skills
A degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field (advantageous)
Experience with PySpark (a plus)
Exposure to retail or consumer goods analytics (beneficial)

Responsibilities

Lead and support analytical projects across multiple clients and sectors
Translate client briefs into structured analytical approaches
Apply a range of data science techniques to solve business problems
Communicate insights clearly to both technical and non-technical stakeholders
Collaborate with other analysts in the EMEA Hub to fill resource gaps and share expertise

Skills

Key technologies and capabilities for this role

PythonSQLData ScienceAnalytical TechniquesCustomer Behaviour AnalysisStakeholder Communication

Questions & Answers

Common questions about this position

What is the compensation or salary for this Senior Applied Data Scientist role?

This information is not specified in the job description.

Is this role remote or does it require office work?

The role offers a degree of personal flexibility and thoughtful perks like flexible working hours.

What skills are required for this Senior Applied Data Scientist position?

Proficiency in Python and SQL is required, along with experience analyzing customer behavior, strong communication and presentation skills, and the ability to learn quickly and adapt.

What is the company culture like at dunnhumby?

The culture features a fast-paced, collaborative environment in the EMEA Hub with a nimble, small-business feel that encourages freedom to play, experiment, and learn, plus a strong commitment to diversity and inclusion.

What makes a strong candidate for this role?

A strong candidate has proficiency in Python and SQL, experience with customer behavior analysis, a generalist mindset, strong communication skills, and adaptability to new challenges; a relevant degree and retail analytics exposure are advantageous.

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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