Associate, Data Science

Salary: £35,000 - 47,000 per year

Requirements:

• Solid experience in data science, software development, or AI-related engineering roles
• Practical experience with Python and data-focused application development
• Familiarity with analytics platforms such as Power BI, Snowflake, or similar data ecosystems
• Experience with cloud-based deployment concepts, DevOps practices, version control systems (e.g. Git), and/or CI/CD pipelines is strongly preferred
• Strong analytical thinking and problem-solving capabilities
• Clear communication skills and ability to work effectively with technical and non-technical team members
• Inclusive, collaborative attitude
• Organised and disciplined approach to delivering high-quality, well-documented work
• Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience
• 2–5 years of experience in data science, software engineering, data engineering, or a related technical role preferred
• Engineering foundations and interest in building reliable, production-grade analytics solutions
• Comfort working across data science, AI engineering, and DevOps responsibilities
• Understanding of analytics development principles and application of software engineering practices such as modularity, testing, and version control
• Problem-solving attitude with attention to detail, organisation, and documentation
• Practical, business-focused approach to analytics and AI delivery
• Intellectual curiosity, cognitive flexibility, and motivation for continuous learning, particularly in AI-enabled analytics

Responsibilities:

• Productionise data science and AI prototypes into reliable, supportable applications and services, including deployment of Python-based analytics solutions using containerised or cloud-based delivery patterns
• Enable business users and citizen developers by providing technical guidance, templates, and safe pathways from prototype to production
• Partner with global Data Science and engineering teams to apply clean architecture, source control, testing, and deployment standards
• Build and maintain user documentation, runbooks, and knowledge resources to support sustainment and continuity
• Collaborate with technology teams to reduce operational support burden and increase the impact of advanced analytics and AI
• Provide EMEA time-zone support for data science, analytics engineering, deployment, troubleshooting, and operational handoff
• Support and modernise legacy analytics solutions, transitioning them to scalable, maintainable patterns using Python, Snowflake, and governed platforms
• Maintain and enhance analytics products, including Power BI dashboards and recurring analytical workflows

Technologies:

• AI
• CI/CD
• Cloud
• DevOps
• Git
• Support
• Power BI
• Python
• Snowflake

More:

We are HarbourVest, a global firm with more than forty years of experience and a committed team with an entrepreneurial spirit focused on delivering impactful solutions to our clients and investing partners. We foster a collaborative, open-door and inclusive culture that values diversity, mutual respect, and innovative thinking, with opportunities to build on strengths and develop new skills. This full-time role is based in London and follows a hybrid arrangement requiring at least four days per week in the office. You will contribute to our data transformation journey, bridging raw data ingestion and analytics-ready assets that support AI, data science, and other applications, working across teams at the intersection of data, technology, and strategy.

last updated 40 week of 2026