Data Scientist, Proprietary Research in London
Data Scientist, Proprietary Research

Data Scientist, Proprietary Research in London

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Transform complex datasets into actionable insights using advanced statistical and AI techniques.
  • Company: Join Point72, a leading global alternative investment firm with a focus on innovation.
  • Benefits: Enjoy private medical insurance, generous leave policies, and wellness programmes.
  • Why this job: Make a real impact by developing research tools that drive investment strategies.
  • Qualifications: Master’s degree or PhD in a quantitative field with strong programming skills.
  • Other info: Collaborative environment with opportunities for professional growth and ethical commitment.

The predicted salary is between 36000 - 60000 £ per year.

As a Data Scientist with a focus on alternative data, you will work in close partnership with investment professionals to turn complex datasets into actionable insights that inform discretionary investment strategies. You will apply advanced statistical, machine learning, and Generative AI techniques — leveraging each where most effective — to develop research products that add real commercial value.

In this role, you will:

  • Work with large, complex, and often unstructured datasets, transforming them into formats that enable meaningful analysis.
  • Design and implement statistical, machine learning, and generative AI–driven solutions to uncover patterns, test hypotheses, and generate forecasts.
  • Develop research tools and analytical frameworks that can be scaled or adapted for recurring use by investment teams.
  • Manage the full research lifecycle — from designing methodologies and preparing data to validating models and monitoring ongoing performance.
  • Collaborate with investment, research, engineering, and compliance experts to ensure research outcomes are relevant, high quality, and meet the firm’s rigorous ethical standards.
  • Present insights clearly through reports, visualizations, and presentations tailored to both technical and non-technical audiences.
  • Stay engaged with emerging trends in alternative data, statistics, ML, and GenAI applications to continually enhance research capabilities.

What’s required:

  • Master’s degree in a quantitative discipline with 2+ years of relevant professional experience, or a PhD in a related field.
  • Deep knowledge of statistics, data mining, and machine learning.
  • Strong programming skills in Python, SQL, Spark, and/or R.
  • Experience working with large, complex, and often unstructured datasets in applied research or real-world business contexts.
  • Proven ability to design and deliver analytical solutions with clear commercial impact, from methodology selection through implementation, validation, monitoring and refinement.
  • Exceptional communication abilities and capable of translating complex quantitative findings for both technical and non-technical audiences.
  • Experience with applying Generative AI tools to enhance analysis is a plus.
  • Organisational skills and adaptability, with the ability to manage multiple projects in a fast-paced environment and work independently while engaging colleagues and managers for alignment and feedback.
  • Commitment to the highest ethical standards.

We take care of our people. We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

  • Private Medical and Dental Insurances.
  • Generous parental and family leave policies.
  • Volunteer opportunities.
  • Support for employee-led affinity groups representing women, people of colour and the LGBQT+ community.
  • Mental and physical wellness programmes.
  • Tuition assistance.
  • Non-contributory pension and more.

About Point72: Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.

Data Scientist, Proprietary Research in London employer: Point72

At Point72, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through comprehensive wellness programmes, generous parental leave policies, and ongoing support for professional development, ensuring that our Data Scientists thrive in their roles while contributing to impactful investment strategies. Located in a vibrant environment, we provide unique opportunities to engage with cutting-edge technologies and diverse teams, making your work both meaningful and rewarding.
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Contact Detail:

Point72 Recruiting Team

StudySmarter Expert Advice 🤫

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

✨Network Like a Pro

Get out there and connect with folks in the industry! Attend meetups, webinars, or conferences related to data science and alternative data. You never know who might be looking for someone just like you!

✨Show Off Your Skills

Create a portfolio showcasing your projects, especially those involving machine learning and Generative AI. Share your insights and findings on platforms like GitHub or LinkedIn to grab the attention of potential employers.

✨Ace the Interview

Prepare for technical interviews by brushing up on your statistics and programming skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical audiences.

✨Apply Through Our Website

Don't forget to apply directly through our website! It shows you're genuinely interested in joining us at StudySmarter and makes it easier for us to spot your application among the rest.

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

Statistical Analysis
Machine Learning
Generative AI
Data Mining
Python
SQL
Spark
R
Data Transformation
Analytical Solution Design
Communication Skills
Project Management
Adaptability
Ethical Standards

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Scientist role. Highlight your expertise in statistics, machine learning, and any relevant programming languages like Python or SQL. 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 passionate about alternative data and how your background makes you a perfect fit for this role. Don’t forget to mention any experience with Generative AI tools if you have it!

Showcase Your Projects: If you've worked on any relevant projects, whether in a professional setting or during your studies, make sure to include them. We love seeing how you've tackled complex datasets and turned them into actionable insights. It’s all about demonstrating your hands-on experience!

Apply Through Our Website: We encourage you to apply directly through our website. This way, your application goes straight to us, and we can review it promptly. Plus, it shows you're keen on joining our team at StudySmarter!

How to prepare for a job interview at Point72

✨Know Your Data Inside Out

Before the interview, dive deep into the types of datasets you might be working with. Familiarise yourself with alternative data sources and think about how you would approach transforming unstructured data into actionable insights. This will show your potential employer that you're not just knowledgeable but also proactive.

✨Showcase Your Technical Skills

Be ready to discuss your programming skills in Python, SQL, Spark, or R. Prepare examples of past projects where you've applied machine learning or statistical techniques. If you’ve used Generative AI tools, highlight those experiences as they’re a plus for this role!

✨Communicate Clearly and Effectively

Practice explaining complex quantitative findings in simple terms. You might be asked to present insights to both technical and non-technical audiences, so being able to tailor your communication style is key. Consider preparing a few visualisation examples to demonstrate your ability to convey information clearly.

✨Stay Current with Industry Trends

Research the latest trends in alternative data, statistics, and machine learning. Being able to discuss recent developments or innovations in these areas during your interview will demonstrate your commitment to continuous learning and your passion for the field.

Data Scientist, Proprietary Research in London
Point72
Location: London
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  • Data Scientist, Proprietary Research in London

    London
    Full-Time
    36000 - 60000 £ / year (est.)
  • P

    Point72

    1000-5000
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