Data Scientist in London

Data Scientist in London

London Full-Time 60000 - 80000 ÂŁ / year (est.) Home office (partial)
Macquarie Group

At a Glance

  • Tasks: Tackle complex challenges using advanced analytics and AI to drive business impact.
  • Company: Join Macquarie Asset Management, a global leader in financial services with a supportive culture.
  • Benefits: Enjoy 25+ days of leave, paid parental leave, and wellness initiatives.
  • Other info: Flexible working arrangements and excellent career development opportunities await you.
  • Why this job: Make a real difference by leveraging cutting-edge AI techniques in a collaborative environment.
  • Qualifications: 4+ years in Data Science, proficient in Python or R, and strong communication skills.

The predicted salary is between 60000 - 80000 ÂŁ per year.

The Data Science, Analytics and AI group within Macquarie Asset Management aspires to create a data‑driven decision‑making culture and support business growth by advancing our capabilities in analytics and AI. At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You’ll be part of a friendly and supportive team where everyone – no matter what role – contributes ideas and drives outcomes.

What role will you play? You will tackle complex challenges using advanced analytics and agentic AI. Leveraging state of the art AI techniques, you will deliver transformative business impact across our private market investment divisions, including Real Assets, Real Estate, and Credit and Insurance. Example challenges include:

  • Automating data extraction from unstructured investment documents
  • Building AI agents to streamline portfolio company analysis
  • Creating intelligent systems to support deal screening workflows
  • Developing tools that augment analyst productivity across asset classes

What You Offer:

  • 4+ years’ experience in Data Science, working for a financial institution and ideally supporting across one or more private asset classes
  • Highly proficient in Python or R, a deep understanding of cloud infrastructure, and hands‑on experience building and deploying agentic AI workflows
  • Experience with Anthropic Claude API or Google Gemini API strongly preferred and familiarity with Atlassian tools and scrum methodology is advantageous
  • Excellent communication skills, able to translate business requirements into technical solutions and clearly articulate ML and AI approaches to a diverse range of stakeholders
  • Able to thrive within a collaborative, multi‑disciplinary, cross‑functional agile scrum team, working alongside engineers, product owners and business stakeholders to deliver complex AI solutions

We love hearing from anyone inspired to build a better future with us; if you're excited about the role or working at Macquarie we encourage you to apply.

Benefits:

  • 1 wellbeing leave day per year and a minimum of 25 days of annual leave
  • 26 weeks’ paid parental leave for primary caregivers along with 12 days of paid transition leave upon return to work and 6 weeks’ paid leave for secondary caregivers
  • Paid fertility leave for those undergoing or supporting fertility treatment
  • 2 days of paid volunteer leave and donation matching
  • Access to a wide range of salary sacrificing options
  • Benefits and initiatives to support your physical, mental and financial wellbeing including comprehensive medical and life insurance cover
  • Access to our Employee Assistance Program, a robust behavioural health network with counselling and coaching services
  • Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription
  • Access to company funded emergency and backup dependent care services
  • Recognition and service awards
  • Hybrid and flexible working arrangements, dependent on role
  • Reimbursement for work from home equipment

About Macquarie Asset Management: Macquarie Asset Management is a leading global asset manager, trusted by institutions, individuals and communities to responsibly manage $A720 billion in assets. MAM provides clients with a diverse range of investment solutions that seek to deliver superior risk‑adjusted returns.

Our commitment to diversity, equity and inclusion: We are committed to providing a working environment that embraces diversity, equity, and inclusion. We encourage people from all backgrounds to apply regardless of their identity, including age, disability, neurodiversity, gender (including gender identity or expression), sexual orientation, marriage or civil partnership, pregnancy, parental status, race (including ethnic or national origin), religion or belief, or socio‑economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process.

Our aim is to provide reasonable adjustments to individuals as required during the recruitment process and in the course of employment. If you require additional assistance, please let us know during the application process.

Data Scientist in London employer: Macquarie Group

Macquarie Asset Management is an exceptional employer that fosters a collaborative and inclusive work culture, empowering employees to drive innovation in data science and AI. With generous benefits such as 25 days of annual leave, paid parental and fertility leave, and extensive learning opportunities, employees are supported in both their professional growth and personal wellbeing. Located in a global financial hub, Macquarie offers a dynamic environment where diverse talents come together to tackle complex challenges and make a meaningful impact.
Macquarie Group

Contact Detail:

Macquarie Group Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist in London

✨Tip Number 1

Network like a pro! Reach out to current or former employees at Macquarie on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!

✨Tip Number 2

Prepare for the interview by brushing up on your Python or R skills. We know that technical questions will come up, so practice coding challenges and be ready to showcase your problem-solving abilities.

✨Tip Number 3

Show off your communication skills! Be ready to explain complex data science concepts in simple terms. We want to see how you can translate technical jargon into business value during your interview.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re genuinely interested in joining the Macquarie team.

We think you need these skills to ace Data Scientist in London

Data Science
Python
R
Cloud Infrastructure
Agentic AI Workflows
Anthropic Claude API
Google Gemini API
Atlassian Tools
Scrum Methodology
Communication Skills
Machine Learning
AI Techniques
Collaboration
Agile Methodologies

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python or R, and any relevant projects that showcase your skills in AI and analytics. We want to see how you can bring value to our team!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how your background aligns with our mission at Macquarie. Let us know what makes you a great fit for our collaborative environment.

Showcase Your Communication Skills: Since you'll be translating complex technical concepts for diverse stakeholders, make sure to demonstrate your communication skills in your application. We love candidates who can bridge the gap between tech and business!

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!

How to prepare for a job interview at Macquarie Group

✨Know Your Tech Inside Out

Make sure you’re well-versed in Python or R, as these are crucial for the role. Brush up on your knowledge of cloud infrastructure and be ready to discuss your hands-on experience with agentic AI workflows. Being able to talk confidently about specific projects will really impress.

✨Showcase Your Problem-Solving Skills

Prepare to discuss complex challenges you've tackled in the past, especially those related to data extraction or AI solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how your contributions made a tangible impact.

✨Communicate Like a Pro

Since you'll be working with diverse stakeholders, practice explaining technical concepts in simple terms. Think about how you can translate business requirements into technical solutions and be ready to demonstrate your communication skills during the interview.

✨Embrace Collaboration

Macquarie values teamwork, so be prepared to discuss your experience working in agile scrum teams. Share examples of how you’ve collaborated with engineers, product owners, and other team members to deliver successful AI solutions. Highlighting your ability to thrive in a multi-disciplinary environment will set you apart.

Data Scientist in London
Macquarie Group
Location: London

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