At a Glance
- Tasks: Transform data into actionable insights and build reliable analytics solutions.
- Company: Join HarbourVest, a global firm with a collaborative and inclusive culture.
- Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic environment with strong focus on teamwork and innovation.
- Why this job: Make an impact in data science and AI while working with cutting-edge technologies.
- Qualifications: Experience in data science, Python, and a passion for continuous learning.
The predicted salary is between 63000 - 77000 £ per year.
For over forty years, HarbourVest has been home to a committed team of professionals with an entrepreneurial spirit and a desire to deliver impactful solutions to our clients and investing partners. As our global firm grows, we continue to add individuals who seek a collaborative, open-door culture that values diversity and innovative thinking.
In our collegial environment that’s marked by low turnover and high energy, you’ll be inspired to grow and thrive. Here, you will be encouraged to build on your strengths and acquire new skills and experiences. We are committed to fostering an environment of inclusion that promotes mutual respect among all employees. Understanding and valuing these differences optimizes the potential of both the individual and the firm.
This position will be a hybrid work arrangement, which translates to 4 days minimum per week in the office.
In this role, you’ll be a key contributor to HarbourVest’s data transformation journey - bridging the gap between raw data ingestion and analytics-ready assets that power AI, data science, and other applications. You’ll work across teams to design modular, analytics-focused data workflows, model business logic, and deliver actionable insights. This hybrid role combines engineering rigor with analytical depth and business fluency, making it ideal for professionals who thrive at the intersection of data, technology, and strategy.
The ideal candidate is someone who:
- Has engineering foundations and enjoys building reliable, production-grade analytics solutions.
- Is comfortable working across data science, AI engineering, and DevOps responsibilities.
- Understands the principles of analytics development and applies software engineering standard methodologies (modularity, testing, version control) to data workflows.
- Demonstrates a problem-solving attitude with solid attention to detail, organisation, and documentation.
- Thrives in a collaborative, inclusive, and professional environment.
- Takes a practical, business-focused approach to analytics and AI delivery.
- Is intellectually curious, cognitively flexible and motivated by continuous learning and evolving technologies, particularly in AI-enabled analytics.
What you will do:
- 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 clear user documentation, runbooks, and knowledge resources to ensure sustainment and continuity.
- Collaborate closely with technology teams to reduce operational support burden and amplify advanced analytics and AI impact.
- Provide EMEA time-zone support for data science, analytics engineering, deployment, troubleshooting, and operational handoff.
- Support and modernise legacy analytics solutions, transitioning them into scalable, maintainable patterns using Python, Snowflake, and governed platforms.
- Maintain and enhance existing analytics products, including Power BI dashboards and recurring analytical workflows.
What you bring:
- 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 communicator who works effectively with both technical and non-technical team members.
- An inclusive, collaborative attitude, we succeed together.
- Organised and disciplined approach to delivering high-quality, well-documented work.
Education Preferred:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience.
Experience:
- 2–5 years of experience in data science, software engineering, data engineering, or a related technical role preferred.
Associate, Data Science in London employer: HarbourVest Partners
HarbourVest Partners is an exceptional employer, offering a dynamic work environment in London that fosters collaboration and innovation. With a strong commitment to employee growth, the company provides ample opportunities for professional development and encourages a hybrid work model that promotes work-life balance. Joining HarbourVest means being part of a forward-thinking team dedicated to delivering high-quality client solutions in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Associate, Data Science in London
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We think you need these skills to ace Associate, Data Science in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at HarbourVest Partners, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at HarbourVest Partners. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at HarbourVest Partners
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at HarbourVest Partners!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
