Lead Data Scientist

Salt Search; Greater London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A consumer-facing brand is seeking a Lead Data Scientist for an 11-month maternity cover in London. The role involves leading a data science team focused on machine learning, pricing optimization, and personalisation. Ideal candidates should have experience in guiding technical projects and mentoring junior staff. This hybrid position offers a unique opportunity to impact pricing strategies and the customer experience significantly.

Qualifications

• Proven experience leading data science teams.
• Strong skills in machine learning and AI.
• Ability to guide personalisation models and recommenders.

Responsibilities

• Lead the design and deployment of data products.
• Act as a technical lead across modelling.
• Mentor data scientists and promote a data-driven culture.

Skills

Machine Learning

Data Science

Technical Leadership

Statistical Analysis

Job description

Overview

Lead Data Scientist - Pricing & Personalisation (11-month FTC, Hybrid London)

Intro:

An established, consumer-facing brand is hiring a Lead Data Scientist for an 11-month maternity cover. This is a rare chance to shape the future of pricing, revenue optimisation and personalisation across a high-profile digital loyalty and rewards business.

The opportunity:

You'll lead a small, ambitious data science team, owning the design and delivery of machine learning and optimisation models that drive dynamic pricing, customer intelligence and personalised experiences. You will be the day-to-day technical authority, partnering closely with Product, Revenue Management, Pricing and Engineering to take models from idea to production and measure real-world impact.

What you'll do

• Lead the design, development and deployment of ML and AI-powered data products for pricing and revenue.
• Act as technical lead across modelling work, championing rigour, robustness and reliability.
• Guide customer intelligence and personalisation models, including recommender systems.
• Work with Product, Delivery and ML Engineering to productionise models and monitor performance.
• Mentor and support data scientists, fostering curiosity, learning and technical excellence.
• Promote a data-driven culture through experimentation, storytelling and clear communication.

What you'll bring

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