Associate Data Scientist in Edinburgh

Associate Data Scientist in Edinburgh

Edinburgh Full-Time 63000 - 77000 £ / year (est.) Hybrid
London Stock Exchange Group

At a Glance

  • Tasks: Join our AI Engineering team to develop and improve AI-powered products.
  • Company: LSEG is a global leader in financial markets and data services.
  • Benefits: Enjoy competitive pay, healthcare, and opportunities for career growth.
  • Other info: Flexible hybrid work environment with a focus on diversity and inclusion.
  • Why this job: Make a real impact in AI while working with cutting-edge technology.
  • Qualifications: Knowledge of machine learning and strong analytical skills required.

The predicted salary is between 63000 - 77000 £ per year.

LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs.

People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives.

The Team: Are you excited about the potential of AI to transform how people discover, access, and act on information? Do you enjoy solving complex problems using data, experimentation, and analytical thinking? Associate Data Scientists in our AI Engineering team work alongside expert data scientists and software engineers to build, measure, and improve AI-assisted products and capabilities used across LSEG.

Role Summary: As an Associate Data Scientist, you will apply data science methods to support the development and continuous improvement of AI-powered products and platforms. Working closely with data scientists, software engineers, product teams, and stakeholders, you will help ensure that AI systems are measurable, reliable, and aligned with customer needs.

What You'll Be Doing:

  • Contribute to AI-enabled products, services, and platforms, including large language model and agentic AI use cases.
  • Help develop tools, frameworks, and processes that improve how teams measure, monitor, and enhance AI capabilities.
  • Analyse data and communicate findings, recommendations, and trade-offs to technical and non-technical audiences.
  • Contribute to implementing solutions that are scalable, maintainable, and operationally robust.
  • Work with internal customers to understand quality requirements and translate them into measurable evaluation criteria.
  • Continuously develop expertise in AI evaluation, generative AI, prompt engineering, and emerging industry practices.

What You'll Bring:

Essential Skills:

  • Knowledge of machine learning and generative AI concepts.
  • Understanding of statistical methods, experimentation, and data-driven decision making.
  • Ability to analyse data, identify patterns, and draw evidence-based conclusions.
  • Experience with Python or willingness to develop strong programming skills.
  • Strong communication skills with the ability to explain technical concepts clearly to diverse audiences.
  • Curiosity, learning agility, and a collaborative attitude.

Desirable Skills:

  • Experience with AI evaluation, benchmarking, or experimentation methodologies.
  • Familiarity with large language models, prompt engineering, or agent-based AI systems.
  • Exposure to software engineering practices such as version control, testing, CI/CD, or cloud platforms.

What you’ll get in return:

  • High-impact projects: We work on a variety of core projects pioneering AI products.
  • Competitive benefits: We offer a strong compensation package, comprehensive benefit, and ongoing investment in career growth and skill development.
  • Industry leadership: We deliver brand-new products that democratize analytics solutions.
  • Career progression: We provide opportunities for continuous learning and professional development in a collaborative work environment of dedicated, highly experienced teams.

LSEG offers a range of tailored benefits and support, including healthcare, paid volunteering days and wellbeing initiatives.

Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we’d love to hear from you.

Associate Data Scientist in Edinburgh employer: London Stock Exchange Group

At London Stock Exchange Group, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Lead Java Engineer in our Risk Platform team, you will have access to unparalleled growth opportunities, working alongside industry experts in a vibrant London setting that champions diversity and professional development. Join us to make a meaningful impact while enjoying competitive benefits and a supportive environment that values your contributions.

London Stock Exchange Group

Contact Details:

London Stock Exchange Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Associate Data Scientist in Edinburgh

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We think you need these skills to ace Associate Data Scientist in Edinburgh

Machine Learning
Generative AI
Statistical Methods
Data Analysis
Python Programming
Communication Skills
Curiosity

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at London Stock Exchange Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at London Stock Exchange Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at London Stock Exchange Group

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

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✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.