Data Science Manager, Carwow

• Experience in a senior data science role, with a proven track record of leading and managing teams within a tech or data-driven organization
• Strong technical proficiency in Python (Pandas, NumPy, Scipy), machine learning modules (Tensorflow or Pytorch, Scikit-Learn), and SQL
• Solid technical experience developing ML solutions in a cloud environment (e.g., Vertex AI, Sagemaker); understanding of software engineering principles including version control, code reviews, agile methodology, unit tests; and familiarity with containerisation
• Understanding of statistical modeling, machine learning algorithms, and AI principles
• Demonstrated ability to translate business problems into data science solutions and deliver impactful results
• Exceptional communication, presentation, and interpersonal skills, with the ability to effectively communicate technical concepts to non-technical audiences
• Proven ability to build, mentor, and motivate high-performing teams
• Experience working in a fast-paced, agile environment
• (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)

Desirable

• This is an exceptional opportunity for a driven and experienced Data Science Manager to build and lead the data science function at Carwow
• As the first dedicated Data Science Manager you will have a significant impact on our business, shaping our data science strategy and driving the adoption of machine learning and AI across the organization
• You'll initially manage a small team of data scientists, with the opportunity to scale the team as the function grows
• This role offers a unique blend of strategic vision, hands-on technical contribution, and leadership, allowing you to make a tangible difference in a fast-paced, collaborative environment
• Leadership & Team Growth: Mentor and develop existing data scientists, fostering their growth and expertise
• Lead the recruitment and onboarding of new team members, building a high-performing and diverse data science team
• Champion a culture of collaboration, innovation, and continuous learning within the team
• Strategic Vision & Roadmap: Help to define Carwow’s data science vision and roadmap, aligning it with key business objectives and collaborating with product teams and senior leadership to ensure its successful execution
• Proactively identify opportunities where data science can drive significant business impact
• Innovation & Application: Spearhead the exploration and implementation of AI and machine learning solutions across Carwow's products, services, and operations
• Identify high-impact use cases, evaluate the latest research and technologies, and champion the adoption of cutting-edge AI techniques
• Cross-Functional Collaboration & Influence: Partner closely with product, engineering, marketing, commercial, and other teams to understand their needs and translate them into impactful data science projects
• Effectively communicate complex technical concepts to non-technical stakeholders and influence decision-making at all levels
• Model Development & Deployment: Oversee the entire lifecycle of machine learning models, from ideation and development to deployment, monitoring, and optimization
• Ensure models are robust, scalable, and deliver measurable business value
• Contribute technically when needed, especially in the early stages of team growth
• Data-Driven Culture: Champion the use of data science to inform strategic decisions across the organization
• Promote a data-driven culture by empowering teams with insights and tools
• Technical Excellence & Best Practices: Maintain a high standard of technical excellence within the team
• Implement best practices for data analysis, model development, and deployment
• Ensure the quality, accuracy, and scalability of data science outputs

• Introductory call to get to know each other
• Interview with Hiring Manager
• Technical skills assessment
• Values interview