Senior Data Science Consultant

Metrica Recruitment; United Kingdom; Remote; GBP 50,000 - 70,000; Full time

Job summary

A data-focused consultancy in the UK is seeking a skilled data scientist to create impactful solutions in the consumer goods and retail sectors. You will be responsible for building intelligent pipelines and working closely with clients to solve real-world challenges using advanced machine learning techniques. The ideal candidate has solid experience in data science, particularly within supply chain, and strong communication skills to collaborate effectively.

Qualifications

• Several years of data science expertise, ideally within the supply chain domain.
• A background in consulting and/or working within the CPG/retail industries.
• Strong communication skills, with the ability to distil complex concepts.

Responsibilities

• Shaping solutions from the ground up with interactive client workshops.
• Engineering architectures for smooth integration with client teams.
• Building model pipelines and hosting them on client cloud platforms.

Skills

Data science expertise

Problem solving

Communication skills

Education

Excellent academic profile in a quantitative subject

Tools

Python

Power BI

Bayesian statistics

Job description

A fast-growing start-up consisting of 20+ brilliant consultants, laser-focused on transforming the consumer goods and retail sectors through the power of data science and analytics. Their mission? To help our clients save time, cut costs, and make smarter decisions — all by delivering proprietary, highly scalable solutions that actually get used, not left to gather dust.

Here, you won’t just be tinkering with “nice-to-have” proof of concepts. You’ll be creating real, high-impact solutions that are deployed, scaled, and celebrated for the tangible value they deliver.

We thrive on entrepreneurial spirit, encouraging every team member to harness their innovation and creativity. With state-of-the-art AI at your fingertips, you’ll have the freedom and tools to bring bold ideas to life.

If you’re excited by the thought of working in a tight-knit, ambitious team where your work matters, your voice counts, and your ideas can shape the future — they would love to meet you.

The Role

You’ll be at the cutting edge of solving real-world challenges in the consumer goods and retail sectors — from tackling food waste reduction to optimising promotions and markdowns — all through the power of probabilistic machine learning. You’ll collaborate closely with client technical teams and your fellow consultants to design, build, and deploy solutions that don’t just sit on a shelf, but make a measurable impact.

What You’ll Be Doing

• Shaping solutions from the ground up – running interactive client workshops to uncover pain points, understand requirements, and design impactful solutions.
• Engineering smart architectures – aligning solution designs with client technical teams to ensure smooth integration and long-term scalability.
• Building intelligent pipelines – creating model pipelines for training ML models, hosting them on client cloud platforms, and setting up performance monitoring for continuous improvement.
• Bringing AI to life for users – integrating front-ends with transformed data and ML outputs, running structured tests, and ensuring a high-quality experience for end users.
• Customising and innovating – working with front-end developers to adapt Python or Power BI interfaces to user needs and feedback.
• Inventing what’s next – spotting new opportunities beyond the current scope, developing innovative ideas, and building greenfield solutions from concept to MVP.

If you love combining deep technical work with creative problem solving, enjoy working directly with clients, and want to see your work deliver real, measurable results in the wild, this is your stage.

The Candidate

• Several years of data science expertise, ideally within the supply chain domain
• A background in consulting and/or working within the cpg/retail industries
• Knowledge of Bayesian statistics, but broader ML experience, e.g. time series modeling and forecasting will be considered
• Strong communication skills, with the ability to distil and translate complex concepts into simple and actionable insights for stakeholders
• An excellent academic profile in a quantitative subject