At a Glance
- Tasks: Analyse and transform large datasets to drive responsible investment insights.
- Company: Join a leading global investment firm focused on sustainability.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Other info: Inclusive culture with opportunities for community volunteering and career advancement.
- Why this job: Make a real impact in responsible investment while developing your data science skills.
- Qualifications: 5+ years in data wrangling and a passion for sustainability.
The predicted salary is between 70000 - 90000 £ per year.
About Man Group
Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via 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.
Role Overview
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. 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).
Benefits, Inclusion, and Work‑Life Balance
You’ll thrive in an 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 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 of 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.
Equal Employment Opportunity Policy
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. Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact TalentAcquisition@man.com.
Senior Data Scientist – Responsible Investment employer: Man Group
Man Group is an exceptional employer that fosters a culture of inclusion and professional growth, making it an ideal place for a Senior Data Scientist focused on Responsible Investment. With a commitment to equality of opportunity, employees benefit from flexible working arrangements, comprehensive benefits, and the chance to contribute to meaningful charitable initiatives. Located in London, you will thrive in a dynamic environment that values your unique perspective while providing ample opportunities for career advancement and collaboration with talented professionals.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist – Responsible Investment
✨Tip Number 1
Network like a pro! Reach out to current employees at Man Group on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data wrangling and analysis projects, especially those related to responsible investment. This will help you stand out during interviews.
✨Tip Number 3
Stay updated on industry trends! Read up on the latest in RI data and sustainability. Being knowledgeable about current events can help you impress interviewers with your passion and expertise.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at Man Group.
We think you need these skills to ace Senior Data Scientist – Responsible Investment
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Data Scientist role. Highlight your experience with data wrangling, statistical techniques, and any relevant RI or sustainability projects you've worked on.
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 examples of your work that relate to the job description.
Showcase Your Technical Skills:Since this role requires proficiency in the Python data science stack, make sure to include any relevant projects or tools you've used. If you've worked with Snowflake or Git, don't forget to mention that too!
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 us you’re keen on joining our team!
How to prepare for a job interview at Man Group
✨Know Your Data Inside Out
As a Senior Data Scientist, you'll be dealing with large datasets. Make sure you understand the nuances of RI and sustainability data. Brush up on your experience with Python libraries like Pandas and NumPy, and be ready to discuss specific projects where you've wrangled and analysed data.
✨Show Your Passion for Responsible Investment
Man Group is looking for someone who is genuinely passionate about responsible investment and sustainability. Be prepared to share your thoughts on current trends in the industry, and how you can contribute to their mission. This will show that you're not just qualified, but also aligned with their values.
✨Prepare for Technical Questions
Expect technical questions related to statistical techniques and data visualisation. Brush up on your knowledge of tools like Snowflake and Git, and be ready to explain how you've used them in past roles. Practising coding challenges or data analysis scenarios can also give you an edge.
✨Communicate Clearly with Non-Technical Stakeholders
You'll need to present complex data insights to non-technical audiences. Prepare examples of how you've successfully communicated technical results in the past. Think about how you can simplify complex concepts and make them relatable to investment professionals and clients.