Applied Data Scientist in London

Revionics is a leading provider of retail pricing solutions. We leverage artificial intelligence technologies, including predictive AI, conversational AI, generative AI and agentic AI to optimize the retail pricing lifecycle and deliver real business value to our clients. Our solutions help retailers in sectors such as grocery, health & beauty, DIY and convenience achieve better pricing outcomes, with the aim of delivering value to clients worldwide.

About the role: Revionics has an immediate opening for an Applied Data Scientist. The preferred location is London, but we will consider remote workers in locations across the UK, France or Germany. This is a client-facing role in our Science Services team, responsible for delivering accurate demand models and forecasts to our retail customers and helping clients understand and be confident in our data and machine learning–driven forecasts and price recommendations.

Who You Are:

• You have strong quantitative, mathematical and analytical skills, with the ability to understand and explain statistical ML models (such as those used for demand forecasting).
• A great communicator – with the ability to explain complex information and data to technical and non-technical audiences.
• A creative problem solver with hands-on practical data skills. You enjoy figuring out issues, spotting patterns, and using structured methods to investigate data.
• Confident to challenge the status quo and identify improvements to existing processes.
• Self-motivated to perform in an environment with multiple projects or tasks in parallel; able to deliver solutions with accuracy and speed.
• Undergrad degree in mathematics, statistics or a similar STEM field, or equivalent work experience.
• 2+ years of experience working in analytics / ML in consulting or industry.
• Experience working with relational databases (MS SQL Server, Google BigQuery, or equivalent).
• Experience creating analytic scripts to automate analysis processes (e.g., Python, R, SQL, Alteryx).
• Skilled in data visualization (Tableau or Looker highly desired), with the ability to display complex information clearly.

What You'll Do:

• Develop a solid understanding of Revionics' demand modelling and optimisation algorithms, and the core data-driven services we provide to clients – and explain these to clients and colleagues.
• Perform forecast accuracy evaluations, apply model tuning techniques to maximise model accuracy, and explain model outcomes to customers to maximise client satisfaction with forecasting and price optimisation results.
• Collaborate with the Professional Services and Customer Success teams, especially Price Strategy Consultants, in the delivery of data science services and sharing of analytical insight on client projects.
• Collaborate with the data science development team to improve modelling capability.
• Create and improve processes and tools for automated evaluations of models on multiple datasets.
• Develop new reports using data pipelines and visualisations to help colleagues and clients gain understanding and value from the data they share with us.

We Also Look For:

• Experience working in or with the retail industry (especially merchandising or pricing roles).
• Solid understanding of statistical regression and modelling techniques (maximum likelihood, Bayesian estimation).
• Advanced degree in Operations Research, Econometrics, Data Science, Mathematics, Physical Sciences or similar quantitative discipline.
• Demonstrated ability to quickly spot patterns, correlations or outliers in data to get to the root of a problem.
• Fluency in German, Italian, Spanish or other European languages would be beneficial but not required.

Are You The Person We're Looking For?

• Big picture thinker with laser focus. You see both the forest and the trees, starting from the broader context, then zooming in to assess a particular aspect and returning to see how changes affect the broader results.
• Expert relationship cultivator. Clients see you as a good partner who explains things clearly and delivers great results. Colleagues respect your opinions and you are a natural collaborator.
• Quality orientation. You have proven success at evaluating and optimizing ML models with careful, accurate and timely analysis that adds value to the team.
• Resourcefulness and application. We have a pioneering spirit and look for practical solutions by leveraging resources such as colleagues, professional networks, the Internet, articles and books, and applying that knowledge to the job.

We offer a competitive total rewards package including base salary determined by role, experience, skill set, and location. For eligible roles, discretionary incentive compensation may be awarded. We also offer a range of benefits and programs to meet employee needs, based on eligibility.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

By submitting an application for this job, you acknowledge that personal data or personally identifiable information provided will be processed in accordance with our Candidate Privacy Notice.

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