Senior Data Scientist

August 7

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The ultimate car buying and selling experience

New Cars • Car Reviews • Car Chooser • Car Buying • Car Sales

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💰 Venture Round on 2022-04

Description

• Collaborate with cross-functional teams including Commercial, Operations, and Marketplace to understand their specific business challenges • Design and develop machine learning solutions for stakeholders that provide efficient and reliable solutions to business operations needs • Focus 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 behaviours 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 (e.g., Vertex AI, Sagemaker); understanding of software engineering principles including version control (Git), code reviews, agile methodology, unit tests; and (desirable) 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). • (Desirable) MLOps Experience: Familiarity with the ML production life cycle, including model training, monitoring, versioning, and model experimentation (champion vs. challenger). • (Nice to have) LLM Experience: development of LLM-powered solutions that add business value, comparative model evaluation, expertise with prompt engineering and LLM concepts (chain-of-thought, RAG, custom agents)

Benefits

• Hybrid working, with two days a week in the London office • Competitive salary to fund that dream holiday to Bali • 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 • 28 days annual leave • 1 day for your wedding • 1 day off when you move house - because moving is hard enough without work! • For your third year anniversary, get 30 days of annual leave per year • For your tenth year anniversary, get 35 days of annual leave per year • Option to buy 3 extra days of holiday per year • 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 • The latest tech (Macbook or Surface) to power your gif-sending talents • Up to £500/€550 home office allowance for that massage chair you’ve been talking about • Generous learning and development budget to help you master your craft • Regular social events: tech lunches, coffee with the exec sessions, lunch 8 learns, book clubs, social events/anything else you pester us for • Refer a friend, get paid. Repeat for infinite money