Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Science Analyst

Man Group
London
4 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst | Up to £85,000 | 10% Bonus | London | Hybrid

Data Analyst

Entry Level Data Analyst

Entry Level Data Analyst

Entry Level Data Analyst

Finance Data Analyst

Analyst - Data Science Analysts - Man Data and Machine Learning
The Team

The Data and Machine Learning division at Man Group is dedicated to ensuring the business can generate valuable insights from data. The team owns the sourcing and delivery of traditional and alternative data to our investment teams as well developing and supporting Man Group's central data platform. The team is also responsible for 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 on data. 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 an Analyst in the Data Science Analysts team, you will use your specific and general skills to support the quantitative research and portfolio management teams in the development of data driven trading models. Your focus will be on acquiring, cleaning, mapping, and analysing large structured and unstructured datasets for alpha generation. On some projects you will act as a subject matter expert, delivering high quality exploratory data analysis and insights.

You will have responsibilities ranging from data vendor scoping through to data ingestion, exploratory analysis and prototyping robust data pipelines. The team's aim is to provide a consistent and scalable approach to data delivery and analysis along with a low touch data management process. This is delivered through a series of small self-managed projects working with the relevant investment teams and other members of the data team.

Responsibilities

  • Collaborate with investment teams to identify data opportunities, propose creative use cases, and recommend datasets to inform investment strategies.
  • Acquire, transform and analyse large, messy and unstructured datasets to support investment research and decision-making.
  • Maintain strong data vendor relationships, evaluate, document and compare new data offerings to assess their applicability to our investment teams.
  • Research company KPIs, test relevant datasets and document findings to support investment teams and maintain an accessible knowledge base.
  • Contribute to firm-wide data initiatives, enhancing the data ecosystem, and stay informed on industry trends in alternative data.
  • Build new proof-of-concept data products to test investment hypotheses and collaborate with technology to productionise them.

Requirements

  • 2+ years' experience in a related position.
  • Ability to present results, conclusions and translate technical concepts to non-technical audiences.
  • Entrepreneurial mindset with a willingness to learn investment team requirements and the ability to proactively push new data-driven solutions that solve business questions for them.
  • Strong academic record and higher education degree in a STEM field.
  • Proven experience in timeseries data analysis, statistical techniques and data visualisation.
  • Expertise in Python data science stack including Pandas, Numpy, Spark, matplotlib, Jupyter. SQL experience is a plus.
  • Experience with ETL and evaluation of large datasets.
  • Working knowledge of Snowflake, Linux / UNIX, Git, Jira is preferable.
  • Excellent attention to detail.
  • Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities.
  • Previous experience of working with investment professionals in a fast-paced environment is preferable but not essential.

Our Culture, Values and Benefits at Man

Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equal opportunities. At Man Group we believe that a diverse workforce is a critical factor in the success of our business and this is embedded in our culture and values. There are a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and that encourage inclusion and diversity across our firm and the industry. Man Group is a Signatory of the Women in Finance Charter and the Race at Work Charter.

Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme.

We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.

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 .

Man Group is a global, technology-empowered active investment management firm focused on delivering alpha and portfolio solutions for clients. Headquartered in London, we manage $174.9 billion* and operate across multiple offices globally.

We invest across a diverse range of strategies and asset classes, with a mix of long only and alternative strategies run on a discretionary and quantitative basis, across liquid and private markets. Our investment teams work within Man Group's single operating platform, enabling them to invest with a high degree of empowerment while benefiting from the collaboration, strength and resources of the entire firm. Our platform is underpinned by advanced technology, supporting our investment teams at every stage of their process, including alpha generation, portfolio management, trade execution and risk management.

Our clients and the millions of retirees and savers they represent are at the heart of everything we do. We form deep and long-lasting relationships and create tailored solutions to help meet their unique needs.

We are committed to creating a diverse and inclusive workplace where difference is celebrated and everyone has an equal opportunity to thrive, as well as giving back and contributing positively to our communities. For more information about Man Group's global charitable efforts, and our diversity and inclusion initiatives, please visit:https://www.man.com/corporate-responsibility.

Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found atwww.man.com.

* As at 30 September 2024. All investment management and advisory services are offered through the investment engines of Man AHL, Man Numeric, Man Discretionary, Man FRM, Man Varagon, Man Global Private Markets and Man Solutions.

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.