Applied Data Scientist at dunnhumby

Budapest, Hungary

Apply Now

Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Retail, Customer Data ScienceIndustries

Requirements

Strong communication skills, with the ability to interpret business needs and translate them into actionable insights
Passion for building and maintaining client relationships
Academic background in a science-based subject (e.g., Statistics, Mathematics, or a related field)
Programming skills – Python, SQL are essential; PySpark is a plus
Familiarity with analytical techniques and modern data technologies
Logical thinking and strong problem-solving abilities
Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact
Fluency in English and Hungarian is essential
Statistical modelling experience and a track record of applying data science to solve client problems

Responsibilities

Work across Price & Promotion and Category Management streams
Deliver regular reporting and analysis for a major retail client
Support dunnhumby clients across Hungary, Czech Republic, and Slovakia

Skills

Key technologies and capabilities for this role

PythonSQLPySparkStatistical ModellingData Analysis

Questions & Answers

Common questions about this position

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

Python and SQL are essential programming skills, with PySpark considered a plus.

What is the flexible working policy at dunnhumby?

dunnhumby offers flexible working hours, personal flexibility, and a commitment to building an inclusive culture where you can balance career and commitments.

What benefits and perks does dunnhumby offer?

Employees enjoy a comprehensive rewards package, flexible working hours, birthday off, investment in cutting-edge technology, and thriving diversity networks.

What is the company culture like at dunnhumby?

dunnhumby fosters a nimble, small-business feel with freedom to experiment and learn, emphasizes diversity and inclusion through active networks, and promotes work-life balance with flexible working.

What languages are required for this position?

Fluency in English and Hungarian is essential.

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.

Land your dream remote job 3x faster with AI

Try Jobo Free