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UK Remote, United Kingdom
Remote only
Making a job change is a big decision.
Why consider Revionics?
You will be joining a team of remarkable colleagues who are passionate about creating and delivering leading-edge pricing solutions to the global retail market. You will become part of an exciting growth journey where we will do everything possible to help you reach and exceed your career dreams. Our colleagues have access to industry-leading training and development opportunities, and the chance to work in a global, diverse culture with offices in 9 countries. You will become part of an inclusive culture that is grounded in our Company's purpose: to make a difference for every colleague, every client, every day.
Revionics’ leading retail pricing solutions leverage powerful 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 optimize prices for retail products that generate more than $3T in annual revenue for dozens of the world’s leading grocery, healthy & beauty, DIY and convenience retailers. We hope you’ll be part of taking innovative solutions to market with the worldwide leader in retail pricing.
About the role:
Revionics has an immediate opening for an Applied Data Scientist. Preferred location is London, but will consider remote workers in locations across the UK, France or Germany.
This is a client-facing role in our Science Services team, suitable for a data science expert who can confidently work with clients, potentially having some consulting experience or similar. You will be responsible to deliver accurate demand models and forecasts to our retail customers, and to work with them so they understand and are confident in our data and Machine Learning-driven forecasts and price recommendations.
If this sounds like your kind of fun and you’re ready to take on a challenge and be part of an awesome team, this is the right role for you!
Who You Are
You have strong quantitative, mathematical and analytical skills; with ability to understand and explain statistical ML models (such as those used for demand forecasting).
A great communicator – with ability to explain complex information and data, to technical and non-technical audiences.
A creative problem solver, with hands-on practical data skills. You love 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 where you are likely to be working on multiple projects or tasks in parallel; to deliver solutions with accuracy and speed.
Undergrad degree in mathematics, statistics or similar STEM field, or equivalent work experience
You have 2+ years of experience working in analytics / ML role in consulting or industry
Experienced working in relational databases (MS SQL Server, Google BigQuery, or equivalent).
Experienced creating analytic scripts to automate analysis processes (e.g. Python, R, SQL, Alteryx etc).
Skilled in data visualization (Tableau or Looker highly desired), with ability to display complex information in a simple and clear manner.
What You'll Do
Develop a solid understanding of Revionics’ demand modelling and optimisation algorithms, and the core set of data-driven services which we provide to clients – and explain these to clients and colleagues.
Perform forecast accuracy evaluations and apply model tuning techniques to maximise model accuracy, and provide explanations of model outcomes to customers. All aiming to maximise our clients’ satisfaction with forecasting and price optimisation results.
Work with our Professional Services and Customer Success teams, especially Price Strategy Consultants, in the delivery of data science services and sharing of analytical insight as part of client projects.
Collaborate with members of data science development team to help improve our 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 our colleagues and our clients gain understanding of, and value from, the data they share with us and the data Revionics science produces.
We also look for
Experience working in or with retail industry (especially merchandising or pricing roles).
Solid understanding of statistical regression and modelling techniques (maximum likelihood, Bayesian estimation).
Achieved 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 – helping 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 have a unique ability to see both the forest and the trees. It’s what sets you apart from the rest. You start with a good understanding of the broader context, zoom in to assess one particular aspect, and then zoom back out to see how changes to that particular area will affect the broader results.
Expert relationship cultivator. Clients think you’re a good partner – you take the time to explain things to them clearly, and deliver great results. Colleagues feel you respect their opinions -- because you do. You’re a true people person, a natural collaborator, and a highly sought-after resource.
Quality orientation. You have proven success at evaluating and optimizing ML models. Your analysis is careful, accurate and timely – and valuable to the team.
Resourcefulness and application. At Aptos, we have a pioneering spirit -- when we have questions, we find answers; when we’re faced with challenges, we find solutions. We are keen to learn: we turn to a variety of resources, including our own colleagues, our professional network, the Internet, articles and books -- whatever helps us get the job done. But it’s not just about using a variety of resources to gain knowledge -- it’s also about applying that knowledge to other areas of the job or business where it might make sense.
We offer a competitive total rewards package including a base salary determined based on the role, experience, skill set, and location. For those in eligible roles, discretionary incentive compensation may be awarded in recognition of individual achievements and contributions. 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 any personal data or personally identifiable information that you provide to us will be processed in accordance with our Candidate Privacy Notice.
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