Data Science Engineer at dunnhumby

London, England, United Kingdom

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Retail, Consumer Goods, Data ScienceIndustries

Requirements

Experience building analytical Python solutions
Experience working with relational databases, and SQL-like operations
Understanding of machine learning techniques such as regularised regression, clustering or tree-based ensembles (and experience applying them with packages like Pandas, sci-kit-learn, SciPy) is highly beneficial
Experience processing big data, ideally in a Hadoop/Spark environment, would be beneficial
Understanding of Continuous Integration/Continuous Delivery (CI/CD) & DevOps processes, (and experience applying them within an Agile framework) would be useful

Responsibilities

Develop and support standalone, reusable python packages that surface novel data science solutions, and are fundamental to best-in-class, global products and services
Build processes and tools to support the research of global science methods, including visual dashboards to showcase their approaches

Skills

Key technologies and capabilities for this role

PythonSQLPandasscikit-learnSciPyMachine LearningRelational DatabasesHadoopSparkCI/CDDevOpsAgile

Questions & Answers

Common questions about this position

What compensation or benefits can I expect in this role?

You'll enjoy a comprehensive rewards package typical of a leading technology company, including thoughtful perks like flexible working hours and your birthday off.

Is this position remote or does it require office work?

The job offers a degree of personal flexibility and flexible working hours, but specific remote or office requirements are not detailed.

What skills are required for the Data Science Engineer role?

Key requirements include experience building analytical Python solutions, working with relational databases and SQL-like operations, plus beneficial experience in machine learning techniques with Pandas, scikit-learn, SciPy, big data processing in Hadoop/Spark, and CI/CD/DevOps in Agile.

What is the company culture like at dunnhumby?

The culture emphasizes putting the Customer First, diversity and inclusion with thriving networks like dh Gender Equality Network and dh Proud, a nimble small-business feel for experimentation, and investment in cutting-edge technology.

What makes a strong candidate for this position?

Strong candidates will have hands-on experience building analytical Python solutions, working with relational databases and SQL, and ideally knowledge of machine learning, big data tools like Spark, and CI/CD processes.

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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