Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Shape impactful data solutions for consumer goods and retail sectors using advanced machine learning.
- Company: Fast-growing start-up with a team of 20+ innovative consultants.
- Benefits: Collaborative culture, entrepreneurial spirit, and opportunities to make a real impact.
- Why this job: Join a tight-knit team where your ideas can shape the future and deliver measurable results.
- Qualifications: Several years of data science experience, ideally in supply chain or retail.
- Other info: Work with cutting-edge AI tools and enjoy excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
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 is to help clients save time, cut costs, and make smarter decisions by delivering proprietary, highly scalable solutions that actually get used.
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, we would love to meet you.
The RoleYou’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 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, 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 modelling 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.
Senior Data Science Consultant in London employer: Metrica Recruitment
Contact Detail:
Metrica Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Science Consultant in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science and retail sectors. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those that demonstrate your ability to solve real-world problems. Share it on platforms like GitHub or your personal website, and make sure to link it in your applications.
✨Tip Number 3
Prepare for interviews by practising common data science scenarios. Think about how you would tackle challenges like optimising promotions or reducing food waste. Be ready to discuss your thought process and the impact of your solutions.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight how your experience aligns with our mission of delivering impactful data solutions.
We think you need these skills to ace Senior Data Science Consultant in London
Some tips for your application 🫡
Show Your Passion for Data Science: When writing your application, let your enthusiasm for data science shine through! We want to see how your experience aligns with our mission of transforming the consumer goods and retail sectors. Share specific examples of projects where you've made a real impact.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this role. Highlight your relevant experience in consulting and the supply chain domain, and don’t forget to mention any work with Bayesian statistics or machine learning that you’ve done. We love seeing how your skills fit into our team!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to explain complex concepts, as we value strong communication skills. Remember, we’re looking for someone who can distil intricate ideas into actionable insights for our clients.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures it gets into the right hands. Plus, it shows you’re keen on joining our ambitious team!
How to prepare for a job interview at Metrica Recruitment
✨Know Your Data Science Stuff
Make sure you brush up on your data science knowledge, especially Bayesian statistics and machine learning techniques. Be ready to discuss how you've applied these in real-world scenarios, particularly in the consumer goods or retail sectors.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous roles. Think about specific projects where you engineered solutions that had a measurable impact, and be ready to explain your thought process and the results achieved.
✨Communicate Clearly
Practice distilling complex concepts into simple, actionable insights. You’ll need to demonstrate your ability to communicate effectively with both technical teams and clients, so consider role-playing with a friend to refine your delivery.
✨Bring Your Creativity
This role thrives on innovation, so come prepared with ideas! Think about potential new opportunities or improvements you could suggest based on your understanding of the industry. Show them you're not just a data whiz, but also a creative thinker who can drive change.