Data Scientist Position for Business Innovation

7 days ago

London, Greater London, United Kingdom carwow Full time
About Carwow Group

At Carwow, we are driven by a passion for getting people into the right car. We are building a go-to destination for car-changing, reaching drivers everywhere with our trail-blazing portfolio of personality-rich automotive brands. Our journey started as a simple reviews site, but now we are one of the largest online car-changing destinations in Europe, with over 10 million customers having used us to buy and sell cars since inception.

Why Join Us?

We are winners of the prestigious Culture 100 award, recognising the most loved and happiest tech companies to work for. We have recently raised $52m in funding, led by global venture capital firm Bessemer Venture Partners, to accelerate our growth plans. As pioneers, we're always driving for new territory and positive change, so our work as a group is never done. Where others see difficulty, it's our responsibility to see possibility - building new experiences, launching new titles, and listening to drivers.

The Role

We are seeking an experienced Senior Data Scientist to join our Analytics & Data Science team. As a core member of our rapidly growing machine learning function within the business, you will be responsible for developing and implementing novel machine learning solutions that enhance and accelerate our key business operations. You will collaborate closely with stakeholders from Commercial, Operations, and Marketplace teams to understand their requirements, develop domain knowledge, and create robust machine learning models to drive key business objectives.

Responsibilities
  • Collaborate with cross-functional teams to understand specific business challenges and design machine learning solutions that provide efficient and reliable solutions to business operations needs.
  • Focused on solutions that drive key business performance by identifying core drivers of success and developing models focused on enhancing them.
  • Effectively communicate the function and purpose of ML solutions to stakeholders with varying degrees of technical complexity.
  • Collaborate within the analytics team to understand how to best complement and enhance analytics projects and thereby enable wider team success.
  • Proactively identify opportunities for ML solutions in the broader business.
Requirements
  • Extensive Machine Learning Experience: Demonstrated track record of building machine learning (ML) models in Python that translate data into actionable insights.
  • Passion for Problem Solving: A relentless curiosity for understanding the factors that drive behaviors and trends in data. An analytical and investigative mindset that converges on efficient ways to extract insight from data.
  • Technical Expertise: Solid experience developing ML solutions in a cloud environment; understanding of software engineering principles including version control (Git), code reviews, agile methodology, unit tests; familiarity with containerisation.
  • Stakeholder Management: Proven ability to work closely with stakeholders, actively listening to their needs, and translating those needs into effective ML solutions. Strong communication skills to present insights clearly and concisely.
  • Quantitative Decision Making: Ability to evaluate model performance with well-motivated statistical tests and success metrics, and consideration for this process in model development and experiment design.
  • Python Proficiency: Fluency with core data handling packages in Python (Pandas, NumPy, Scipy) and machine learning modules (Tensorflow or Pytorch, Scikit-Learn).
Benefits
  • Competitive salary £80,000 per annum.
  • Hybrid working, with two days a week in the London office.
  • Matched pension contributions for a peaceful retirement.
  • Share options - when we thrive, so do you.
  • Vitality Private Healthcare, for peace of mind, plus eyecare vouchers.
  • Life Assurance for (even more) peace of mind.
  • Monthly coaching sessions with Spill - our mental wellbeing partner.
  • Enhanced holiday package, plus Bank Holidays.
  • Work from abroad for a month.
  • Inclusive parental, partner and shared parental leave, fertility treatment and pregnancy loss policies.
  • Bubble childcare support and discounted nanny fees for little ones.

This position is located in London, UK, with a competitive salary range of £60,000 - £100,000 depending on experience. If you're passionate about innovation, data science, and changing the way people interact with cars, we'd love to hear from you.

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