At a Glance
- Tasks: Analyse and transform large datasets to drive responsible investment insights.
- Company: Join a leading global investment firm focused on innovation and sustainability.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Other info: Inclusive culture with opportunities for community volunteering and career development.
- Why this job: Make a real impact in sustainable finance while working with cutting-edge data science tools.
- Qualifications: 5+ years in data wrangling and analysis, with 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 function seeks to unlock the value in data by partnering with investment teams to source new and diversifying datasets and build scalable evaluation methods and insights. The core value which unifies us is a passion to utilise science, technology, and data to enhance our investment and 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. 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).
Inclusion, Work-Life Balance and Benefits at Man Group
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.
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.
Accessibility
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.
Data Scientist employer: LGBT Great
Man Group is an exceptional employer, offering a dynamic work culture that prioritises inclusion and professional growth. As a Data Scientist in our London office, you will have the opportunity to collaborate with passionate teams on impactful projects in responsible investment, while enjoying a comprehensive benefits package that includes flexible working arrangements, community volunteering days, and competitive holiday entitlements. Join us to leverage your expertise in data science and sustainability within a supportive environment that values innovation and personal development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨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 of your data projects, especially those related to responsible investment and sustainability. This will help you stand out during interviews and showcase your expertise.
✨Tip Number 3
Stay updated on industry trends! Follow news on climate risk and sustainable finance. Being knowledgeable about the latest developments will impress interviewers and show your passion for the field.
✨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 Man Group team.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role at Man Group. Highlight your experience with data wrangling, statistical techniques, and any relevant projects that showcase your skills in responsible investment and sustainability.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're passionate about responsible investment and how your background aligns with our mission. Share specific examples of how you've used data to drive insights and decision-making in previous roles.
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 leverage these skills to enhance our RI research and investment processes.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at LGBT Great
✨Know Your Data Inside Out
Before the interview, dive deep into the types of datasets you'll be working with at Man Group. Familiarise yourself with RI data, sustainability metrics, and climate analytics. Being able to discuss specific examples of how you've wrangled and analysed similar data will show your expertise and passion for the role.
✨Showcase Your Technical Skills
Make sure you can confidently talk about your experience with the Python data science stack, including tools like Pandas and NumPy. Prepare to discuss any projects where you've used these skills, especially in relation to data visualisation and statistical techniques. This will demonstrate your technical prowess and readiness for the challenges ahead.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to responsible investment. Think about creative use cases for data in RI scoring or climate risk assessment. Practising these scenarios will help you articulate your thought process and problem-solving abilities during the interview.
✨Communicate Clearly with Non-Technical Audiences
Since you'll be presenting findings to stakeholders who may not have a technical background, practice explaining complex concepts in simple terms. Prepare examples of how you've successfully communicated technical results in the past, as this will highlight your ability to bridge the gap between data science and investment professionals.
