At a Glance
- Tasks: Analyse and transform large datasets to drive responsible investment insights.
- Company: Join a leading firm in bespoke responsible investment solutions.
- Benefits: Enjoy competitive holidays, pension plans, and wellness perks.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Make a real impact in sustainability while developing your data science skills.
- Qualifications: 5+ years in data wrangling and a passion for responsible investment.
The predicted salary is between 70000 - 90000 € per year.
As a Senior Data Scientist, you will be embedded within Man Group's Responsible Investment (RI) function — working day-to-day alongside the RI research, stewardship and investment teams to deliver data-driven insights. Man Group is a leader in bespoke proprietary RI investment and has created several tools and datasets. In this role you will acquire, wrangle, map and analyse large structured and unstructured RI and sustainability datasets, acting as a subject matter expert at the intersection of data science and responsible investment. Work spans the full data lifecycle and is delivered through self-managed projects in close collaboration with the RI team and the wider Data & AI division.
Role Responsibilities
- Partner with the RI team to identify data opportunities across RI scoring, climate risk, stewardship and sustainable investing — proposing creative use cases and recommending datasets to enhance RI research and investment processes.
- Acquire, transform and analyse large, inconsistent and unstructured RI and sustainability datasets from third-party vendors and alternative sources.
- Research company-level RI KPIs, perform statistical tests and draft research reports to maintain a searchable internal knowledge base for RI and investment teams.
- Support and enhance Man Group's proprietary RI tools and datasets, helping to scale and improve data quality, coverage and analytical capability.
- Build proof-of-concept data products and AI-driven tools for RI use cases, collaborating with technology to productionise them.
- Stay informed on industry trends in RI data, climate science, sustainable finance regulation and alternative data relevant to responsible investment.
- Advise clients on the availability of RI datasets and help build bespoke data solutions that meet their sustainability goals.
- Work alongside other data scientists on team-wide OKRs spanning from acquiring novel datasets to creating analytical tooling.
Key Competencies
Essential
- 5+ years of proven experience in data wrangling, statistical techniques and data visualisation.
- Previous experience working with RI data, sustainability datasets or climate analytics.
- Passionate about RI and sustainability with an entrepreneurial mindset — eager to develop deep domain expertise, understand investment strategies and proactively push data-driven solutions.
- Proficient in the Python data science stack (Pandas, NumPy, Spark, Matplotlib).
- Working knowledge of Snowflake, Linux/UNIX, Git, Jira.
- Embracing agentic engineering — willingness and ability to work effectively with AI-assisted development tools as part of daily workflow.
- Ability to present technical results and concepts to non-technical audiences, including RI stakeholders, investment professionals and clients.
- Comfortable working in an agile, iterative environment — able to adapt quickly to shifting priorities and deliver incrementally.
- Strong attention to detail and a methodical approach to data quality and analytical rigour.
- Strong academic record with a degree in a STEM field.
Nice to have
- Experience working with investment professionals in a fast-paced environment.
- Familiarity with RI frameworks and standards (e.g. SFDR, TCFD, GSIA definitions, EU Taxonomy).
Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance.
Senior Data Scientist – Responsible Investment in London employer: LGBT Great
Man Group is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation within the Responsible Investment (RI) sector. Employees benefit from a comprehensive package that includes competitive holiday entitlements, enhanced parental leave, and opportunities for professional growth through engaging projects at the forefront of sustainability and data science. Located in a vibrant city, the company provides unique advantages such as access to industry-leading tools and datasets, making it an ideal place for those passionate about making a meaningful impact in responsible investing.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist – Responsible Investment in London
✨Tip Number 1
Network like a pro! Reach out to folks in the Responsible Investment space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data wrangling and analysis projects, especially those related to sustainability. This will give you an edge when discussing your experience.
✨Tip Number 3
Stay updated on industry trends! Follow relevant news and reports on RI and sustainability. Being knowledgeable will help you impress during interviews and show your passion for the field.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Plus, it gives you a better chance of being noticed by our hiring team.
We think you need these skills to ace Senior Data Scientist – Responsible Investment in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Scientist in Responsible Investment. Highlight your experience with data wrangling, statistical techniques, and any relevant projects that showcase your passion for sustainability.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this role and how your background aligns with our mission at Man Group. Share specific examples of how you've tackled similar challenges in the past.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in the Python data science stack and any experience with tools like Snowflake or Git. We want to see how you can bring your technical expertise to enhance our RI tools and datasets.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get you on our radar!
How to prepare for a job interview at LGBT Great
✨Know Your Data Inside Out
Make sure you’re well-versed in the types of RI and sustainability datasets that Man Group uses. Brush up on your data wrangling skills, especially with Python libraries like Pandas and NumPy. Being able to discuss specific examples of how you've transformed and analysed similar datasets will show your expertise.
✨Show Your Passion for Responsible Investment
Demonstrate your enthusiasm for responsible investment and sustainability during the interview. Share any personal projects or research you've done in this area. This will help you connect with the team and show that you’re not just looking for a job, but are genuinely interested in making a difference.
✨Prepare for Technical Questions
Expect technical questions related to statistical techniques and data visualisation. Be ready to explain your thought process when solving data-related problems. Practising common data science scenarios can help you articulate your approach clearly and confidently.
✨Understand the Business Context
Familiarise yourself with Man Group’s investment strategies and how they relate to responsible investment. Knowing the latest trends in climate science and sustainable finance regulation will allow you to engage in meaningful discussions and demonstrate your ability to contribute to the team’s goals.
