Senior Applied Data Scientist

Dunnhumby; City of Westminster; On-site; GBP 100,000 - 125,000; Full time

Job summary

A leading customer data science firm is seeking a Senior Applied Data Scientist to join their team. The role involves working directly with customers to create high-quality data science solutions, employing advanced machine learning techniques tailored to varying customer behaviors. Ideal candidates should have strong proficiency in Python, experience with large datasets, and the ability to communicate insights effectively. The company offers a comprehensive rewards package and emphasizes work/life balance, alongside a commitment to diversity and inclusion.

Benefits

Flexible working hours

Diversity and inclusion support

Work/life balance emphasis

Qualifications

• Ability to lead end-to-end data science projects.
• Experience with translating client briefs into actionable approaches.
• Hands-on experience with large-scale transactional datasets.

Responsibilities

• Lead and deliver complex data science projects.
• Translate client briefs into actionable data science techniques.
• Present findings to technical and non-technical stakeholders.

Skills

Leadership in data science projects

Translating client briefs

Applying data science techniques

Proficiency in Python

Experience with large-scale datasets

Rapid learning of new techniques

Presentation skills

Education

Degree in relevant field (Computer Science, AI, etc.)

Job description

Overview

We are looking for a Senior Applied Data Scientist to join our Tesco Category and Product Insight Data Science team. You'll have the opportunity to work directly with Tesco's food categories, creating high-quality data science solutions that support and enable them to deliver their strategies. Expect to apply advanced machine learning techniques across all the food categories, tailoring your approach to the different customer behaviours. You will be able to communicate your findings to a wide range of audiences and will have the ability to quickly pick-up and learn new data science techniques.

Responsibilities & Qualifications

• Ability to lead and deliver complex data science and analytical projects end-to-end.
• Skill in translating client briefs into actionable data science approaches.
• Proven experience applying a range of data science techniques to solve real-world business problems.
• Strong proficiency in Python; experience with PySpark is a plus.
• Hands‑on experience working with large‑scale transactional datasets (millions of rows).
• A fast learner with the ability to adopt new data science techniques quickly.
• Confidence in presenting insights and recommendations to both technical and non‑technical stakeholders.
• A degree in Computer Science, AI, Machine Learning, Statistics, Physics, Engineering, Biology, or a related field is advantageous but not essential.
• Knowledge of the UK retail or consumer goods industry is a bonus.

Benefits and Working Environment

London dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca‑Cola, Nestlé, Unilever and Metro. We offer a comprehensive rewards package, flexible working hours, and a range of personal flexibility perks. We are committed to diversity and inclusion, supporting networks such as dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive. We value work/life balance and are open to discussing agile working opportunities during the hiring process.