Senior Applied Data Scientist in London

Senior Applied Data Scientist in London

London Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
London Stock Exchange Group

At a Glance

  • Tasks: Drive the development of high-impact AI solutions for financial markets.
  • Company: Join LSEG, a global leader in financial markets and data services.
  • Benefits: Enjoy competitive pay, comprehensive benefits, and career growth opportunities.
  • Other info: Collaborative culture with a focus on diversity, innovation, and personal growth.
  • Why this job: Make a real impact by building innovative AI products that solve complex challenges.
  • Qualifications: Proven experience in data science and deploying AI models in production.

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

ABOUT US: 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.

OUR PEOPLE: 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.

ROLE SUMMARY: Are you an experienced data scientist with a passion for productionising AI solutions? Do you want to build innovative solutions for financial markets and professionals by co-developing with teams of brilliant, collaborative data scientists? If so, we’d love to talk to you!

As a Senior Data Scientist, you will drive the development of high-impact, scalable AI solutions, moving beyond prototypes to production systems. We are looking for an experienced data scientist with the proven ability to manage project timelines and deliver high-quality code that aligns with business goals. You will combine strong problem-solving skills with a collaborative approach to ensure team success.

WHAT YOU'LL BE DOING:

  • Develop and deploy production-level AI models and data-driven solutions that align with strategic business objectives.
  • Tune and optimize AI models to improve their accuracy, efficiency and overall fitness for purpose in various applications.
  • Evaluate third-party AI solutions on both functional and non-functional aspects, assessing their suitability based on performance, scalability, and business needs.
  • Establish and apply coding standards to maintain robust and clean code.
  • Work closely with Software Engineers and multi-disciplinary teams to define project requirements and direction, and establish development roadmaps.

WHAT YOU'LL BRING:

  • Extensive experience applying data science methods to solve real-world problems with a proven track record of deploying AI models and solutions to production.
  • Strong statistical analysis skills, with a foundation in probability, to support robust model development and interpretation.
  • Proficiency in Object-Oriented programming in Python with expertise in key data science and machine learning libraries (e.g. TensorFlow, PyTorch and Scikit-Learn).
  • Expertise in cloud technologies (emphasis on Azure and/or AWS) and deployment practices, ensuring seamless and scalable delivery.
  • Proven ability to establish and uphold coding standards to ensure high-quality, maintainable code.
  • Excellent communication skills for summarizing complex technical concepts clearly and effectively to both technical and non-technical partners.

Desirable skills:

  • Working knowledge of DevOps practices, including code versioning, CI/CD pipelines, automated testing, and monitoring, to streamline development workflows and improve deployment reliability.

What you’ll get in return:

  • High-impact projects: We work on a variety of pioneering AI products and leverage extensive datasets to solve complex, high-value challenges.
  • Competitive benefits: You will enjoy a strong compensation package, comprehensive benefits, and ongoing investment in career growth and skill development.
  • Industry leadership: This is an opportunity to be a founding member of the organization that’s delivering brand-new products that democratize modeling and analytics solutions.
  • Collaborative environment: We provide opportunities for continuous learning and professional development in a work environment of dedicated, highly experienced teams.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law.

Senior Applied Data Scientist in London employer: London Stock Exchange Group

At London Stock Exchange Group, we pride ourselves on being an exceptional employer that champions innovation and sustainability. Our collaborative work culture fosters professional growth, offering employees ample opportunities to develop their skills in a dynamic environment focused on sustainable investment. Located in the heart of London, we provide a vibrant workplace with access to industry-leading resources and a commitment to making a positive impact in the financial sector.

London Stock Exchange Group

Contact Details:

London Stock Exchange Group Recruitment Team

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

Data Science Methods
AI Model Development
Statistical Analysis
Probability
Object-Oriented Programming in Python
TensorFlow
PyTorch