Applied Data Scientist at dunnhumby

London, England, United Kingdom

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

RetailIndustries

Requirements

Degree in Statistics, Maths, Physics, Economics or similar field
Programming skills (Python and SQL are a must have)
Analytical Techniques and Technology
Logical thinking and problem solving
Strong communication skills
Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact
Statistical Modelling and experience of applying data science into client problems

Responsibilities

Investigate, develop, implement and deploy a range of complex applications and components
Apply expertise to distil complex problems into compelling insights using machine learning and human creativity
Deliver effective and impactful solutions for clients
Work alongside super-smart colleagues challenging and rewriting the rules

Skills

Key technologies and capabilities for this role

PythonSQLStatistical ModellingMachine LearningData Science

Questions & Answers

Common questions about this position

What qualifications and skills are required for the Applied Data Scientist role?

A degree in Statistics, Maths, Physics, Economics or similar field is required, along with programming skills in Python and SQL, analytical techniques, logical thinking, strong communication skills, statistical modelling, and experience applying data science to client problems.

What is the compensation or salary for this position?

This information is not specified in the job description.

What flexible working options does dunnhumby offer?

dunnhumby offers flexible working hours, personal flexibility, and supports work-life balance to allow employees to balance career with commitments outside of work.

What is the company culture like at dunnhumby?

dunnhumby fosters an inclusive culture with thriving diversity networks, a nimble small-business feel for freedom to experiment and learn, and a commitment to work-life balance and putting the customer first.

What makes a strong candidate for this Applied Data Scientist position?

Strong candidates have a relevant degree, must-have Python and SQL skills, experience in statistical modelling and applying data science to client problems, plus a passion for connecting work to customer experience.

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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