Data Scientist

Location: Hybrid working, home & once a week in London office (King's Cross)

Working Hours: Monday - Friday 40 hours per week

Job Status: Permanent

Who we are!

The Constellation Automotive Group is the largest vertically integrated digital car marketplace in Europe, combining the leading digital brands across the segments of Consumer to Business (C2B), Business to Business (B2B) and Business to Consumer (B2C). Businesses in our group include household names such as cinch, We Buy Any Car, and Marshall Motor Group as well as industry‑leading British Car Auctions (BCA).

Our Data Science function, now in its tenth year, sits across the Constellation Automotive Group and is at the forefront of providing data products and services that underpin the success of these companies. Our cross‑group remit is broad, with models ranging from valuation and commercial pricing to marketing and personalisation, through to operational optimisation including stock selection, delivery route optimisation and vehicle refurbishment.

We’re committed to building an inclusive workplace where everyone feels valued and supported. We welcome applications from all qualified candidates of all genders—including but not limited to people of colour, the LGBTQ+ community, people with disabilities, neuro‑divergent individuals, parents, carers, and those from lower socio‑economic backgrounds.

Main Purpose of Role:

Vehicles are expensive assets and valuing them accurately is incredibly challenging. No two cars are the same— with thousands of models and specifications, plus individual differences in age, condition, and mileage, every vehicle presents a unique valuation problem.

We love a challenge. Our valuation and pricing models underpin key decisions in our own business and across the wider automotive ecosystem—from enabling confident wholesale transactions and accurate part‑exchange offers, to helping businesses optimise pricing and assess the most profitable route for each vehicle.

We’re looking for an experienced Data Scientist to join our Valuations & Pricing Data Science team and help drive the next wave of innovation.

You’ll join an established, highly experienced team of data scientists and MLOps specialists, and work closely to develop and maintain our suite of models, including:

• Valuation models: Predicting vehicle values across wholesale and retail markets.
• Retail pricing models: Optimising vehicle prices in our retail businesses to maximise profitability.

This is a hybrid role spanning both Data Science and Machine Learning engineering. You’ll be involved in the full ML lifecycle—collaborating with stakeholders, developing models that are relevant and impactful, deploying, maintaining, and improving them in production.

The ideal candidate has hands‑on experience as a data scientist, strong technical foundations, and a curious, humble, impact‑driven mindset.

Main Responsibilities:

• Contribute to the evolution of our pricing and valuation strategy by collaborating with stakeholders and peers across the Data Science and MLOps teams.
• Develop innovative approaches to improve the capability and accuracy of our valuation and pricing models.
• Deploy solutions that are robust, scalable, monitored, and aligned with engineering best practices.
• Partner with Analytics, BI, and Data Engineering teams to integrate model outputs into decision‑making tools.
• Be an active contributor to the team—sharing knowledge and best practices, experimenting with new techniques, and questioning/challenging constructively.
• Contribute ideas to the product roadmap that align with business goals and stakeholder needs.

Skills & Experience:

• Solid experience with Python and SQL.
• Experience designing and validating regression models on structured data using appropriate techniques (e.g., linear models, random forests, XGBoost, LightGBM).
• Experience deploying models into production following MLOps practices (e.g., version control, CI/CD).
• Strong attention to detail and commitment to delivering high‑quality, well‑tested code.
• Familiarity with cloud platforms such as Databricks, Azure, AWS or GCP.
• Ability to contribute to solution design by understanding business context and asking clarifying questions.
• Strong communication skills and ability to explain technical concepts to non‑technical audiences.
• A self‑starter mindset with a willingness to learn, ask questions, and collaborate.

Preferred (but not essential):

• Experience in pricing, valuation, or retail optimisation domains.
• Experience creating and running experiments.
• Familiarity with linear optimisation techniques.
• Familiarity with collaborative development practices (e.g., peer reviews, boards, sprint planning).

Benefits:

• Company Pension Scheme.
• An Employee Assistance Programme.
• Enhanced maternity, paternity, and adoption leave.
• Access to trained Mental Health First Aiders.

As the automotive industry changes, we’re changing with it—putting our people in the front seat for the journey. We’re the number one in what we do for a reason, and that’s because of the people we have on our teams. If you want to be a part of a business that is unrivalled, exciting, and appreciative of the work you do, join Constellation!