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 GoodsIndustries

Requirements

Advanced Analytical and Consulting Expertise: Proven background in applying analytical techniques to solve complex business problems, ideally within a consulting or commercial environment, with ability to translate data into actionable insights and influence decision-making
Proficiency in Python and PySpark: Strong programming skills with hands-on experience in Python and PySpark for building scalable data solutions and performing advanced data manipulation and analysis
Dashboard Development in Power BI: Experience designing and building intuitive, impactful dashboards in Power BI to communicate insights effectively to stakeholders
Strong Communication and Stakeholder Engagement: Confident communicator capable of presenting technical concepts clearly to non-technical audiences, with comfort in client-facing environments to engage with external stakeholders, understand needs, share findings, and drive value

Responsibilities

Investigate, develop, implement, and deploy a range of complex applications and components
Apply expertise to distil complex problems into compelling insights using human creativity to deliver effective and impactful solutions for clients
Work alongside experienced colleagues, challenging and rewriting the rules
Engage with external stakeholders regularly to understand needs, share findings, and drive value

Skills

Key technologies and capabilities for this role

Data ScienceMachine LearningBig DataAIStatistical AnalysisAnalytics

Questions & Answers

Common questions about this position

What programming skills are required for the Applied Data Scientist role?

The role requires strong programming skills with hands-on experience in Python and PySpark for building scalable data solutions and advanced data manipulation.

Is experience with Power BI necessary for this position?

Yes, experience designing and building intuitive, impactful dashboards in Power BI is required to communicate insights effectively to stakeholders.

What communication skills are needed for this job?

Strong communication and stakeholder engagement skills are essential, including presenting technical concepts clearly to non-technical audiences and comfort in client-facing environments.

What is the compensation or benefits package like?

You’ll enjoy the comprehensive rewards package you’d expect from a leading technology company.

What kind of team will I be working with?

You'll join an advanced data science team, working alongside experienced and like-minded colleagues to investigate, develop, implement, and deploy complex applications.

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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