At a Glance
- Tasks: Analyse and transform large datasets to drive responsible investment insights.
- Company: Join a leading global investment firm focused on sustainability and innovation.
- Benefits: Flexible working, competitive salary, and opportunities for professional development.
- Other info: Inclusive culture with opportunities for community volunteering and career growth.
- Why this job: Make a real impact in responsible investing while working with cutting-edge data technologies.
- Qualifications: 5+ years in data science, strong Python skills, and a passion for sustainability.
The predicted salary is between 60000 - 80000 £ per year.
About Man Group
Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $227.6 billion and operate across multiple offices globally.
The Team
The Data and AI division at Man Group is dedicated to ensuring the business can generate valuable insights from data. The division owns the sourcing, delivery and analytics of traditional and alternative data to our investment teams, as well as developing and supporting Man Group's central data platform. The division is also responsible for the development of generative AI tooling to drive innovation and accelerate business processes.
The Role
As a 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.
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.
- Experience working with investment professionals in a fast-paced environment.
- Familiarity with RI frameworks and standards (e.g. SFDR, TCFD, GSIA definitions, EU Taxonomy).
Inclusion, Work-Life Balance and Benefits
You’ll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you’ll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry.
You’ll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual “Mankind” days of paid leave for community volunteering. 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.
Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws.
Data Scientist – Responsible Investment in London employer: LGBT Great
Man Group is an exceptional employer, offering a dynamic work environment in the heart of London where innovation and collaboration thrive. As a Data Scientist in the Responsible Investment team, you will have the opportunity to work on impactful projects that drive sustainability and responsible investing, all while benefiting from a culture that prioritises inclusion, professional development, and work-life balance. With comprehensive benefits and a commitment to community engagement, Man Group empowers its employees to grow both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist – Responsible Investment in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Man Group on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your data science skills and understanding responsible investment concepts. We recommend practising common interview questions and having examples ready that showcase your experience with RI data.
✨Tip Number 3
Show your passion for sustainability! During interviews, share your thoughts on current trends in responsible investment and how data can drive positive change. This will help you stand out as someone who truly cares about the field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team at Man Group.
We think you need these skills to ace Data Scientist – Responsible Investment in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Data Scientist role in Responsible Investment. Highlight your data wrangling, statistical techniques, and any relevant experience with sustainability datasets.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about responsible investment and how your background makes you a great fit for our team. Be sure to mention specific projects or experiences that showcase your expertise.
Showcase Your Technical Skills:Don’t forget to highlight your proficiency in the Python data science stack and any experience with tools like Snowflake or Git. We want to see how you can leverage these skills to drive innovation in our RI function.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows your enthusiasm for joining Man Group!
How to prepare for a job interview at LGBT Great
✨Know Your Data Inside Out
Make sure you’re well-versed in data wrangling and statistical techniques, especially as they relate to responsible investment. Brush up on your Python skills, particularly with libraries like Pandas and NumPy, so you can confidently discuss how you've used them in past projects.
✨Show Your Passion for Responsible Investment
Demonstrate your enthusiasm for sustainability and responsible investing during the interview. Be prepared to share examples of how you've applied your data science skills to real-world RI challenges, and suggest innovative ideas that could enhance their research and investment processes.
✨Prepare for Technical Questions
Expect to face technical questions that assess your knowledge of data visualisation and analytics. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders. Think about how you can present your past work in a way that highlights your analytical rigour.
✨Understand the Company’s Values
Familiarise yourself with Man Group's mission and values, especially their commitment to inclusion and sustainability. Be ready to discuss how your personal values align with theirs and how you can contribute to their culture. This will show that you’re not just a fit for the role, but also for the company.
