Data Scientist – Investment

About Man Group

Man Group is a global alternative investment management firm focused on pursuing out performance 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. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index.

* As at 31 December 2025

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.

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.

• 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.

• 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, Num Py, 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).

You’ll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to…