Senior Applied Data Scientist - Personalisation at Scale

dunnhumby; Greater London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading data science firm in Greater London is seeking a Senior Applied Data Scientist to lead complex projects and deliver impactful solutions. This role involves collaborating closely with Tesco UK's Personalisation team, extending personalisation propositions and leveraging advanced techniques in data science. Ideal candidates will excel in Python, SQL, and present insights effectively to stakeholders. A degree in a relevant field is advantageous but not required, and knowledge of the UK retail industry is a plus.

Benefits

Flexible working hours

Birthday off

Investment in cutting-edge technology

Qualifications

• Ability to lead and deliver complex projects end-to-end.
• Experience applying data science techniques to real-world problems.
• Strong proficiency in Python and SQL.
• Hands-on experience with large-scale datasets.
• Fast learner adopting new techniques quickly.
• Experience designing experiments and defining success metrics.
• Confidence in presenting to stakeholders.
• Knowledge of UK retail industry is a bonus.

Responsibilities

• Lead development and deployment of data science applications.
• Work closely with Tesco's Personalisation team.
• Extend and improve personalisation propositions.

Skills

Leadership in data science projects

Data science techniques application

Proficiency in Python

Proficiency in SQL

Familiarity with PySpark

Experience with large-scale datasets

Designing controlled experiments

Confidence in presenting insights

Education

Degree in Computer Science or related field

Job description

A leading data science firm in Greater London is seeking a Senior Applied Data Scientist to lead complex projects and deliver impactful solutions. This role involves collaborating closely with Tesco UK's Personalisation team, extending personalisation propositions and leveraging advanced techniques in data science. Ideal candidates will excel in Python, SQL, and present insights effectively to stakeholders. A degree in a relevant field is advantageous but not required, and knowledge of the UK retail industry is a plus.