Applied Data Scientist

London stock Exchange

Job Summary

As an individual contributor Data Scientist, you will drive the development of high-impact, scalable AI solutions, moving beyond prototypes to production systems. This role involves designing, developing, and deploying production-level AI models, optimizing their accuracy and efficiency, and evaluating third-party solutions. You will also establish and apply model evaluation and coding standards, working closely with business and engineering partners to define project requirements and development roadmaps.

Must Have

  • Apply data science methods to solve real-world problems
  • Deploy AI models and solutions to production
  • Strong data analysis skills
  • Foundation in probability
  • Proficiency in Object-Oriented programming in Python
  • Expertise in TensorFlow, PyTorch, and Scikit-Learn
  • Expertise in cloud technologies (Azure and/or AWS) and deployment practices
  • Set model quality and coding best practices
  • Design, develop and deploy production-level AI models and data-driven solutions
  • Tune and optimize AI models
  • Research and evaluate third-party AI solutions
  • Establish and apply model evaluation and coding standards
  • Work closely with business and engineering partners to define project requirements and direction

Good to Have

  • Working knowledge of DevOps practices
  • Experience with code versioning, CI/CD pipelines, automated testing, and monitoring

Perks & Benefits

  • High-impact projects
  • Competitive benefits
  • Strong compensation package
  • Comprehensive benefits
  • Ongoing investment in career growth and skill development
  • Opportunity to be a founding member of the organization
  • Collaborative environment
  • Opportunities for continuous learning and professional development
  • Hybrid work approach (attending office at least one day per week)
  • Healthcare
  • Retirement planning
  • Paid volunteering days
  • Wellbeing initiatives

Job Description

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!

Role summary

As an individual contributor Data Scientist, you will drive the development of high-impact, scalable AI solutions, moving beyond prototypes to production systems. We are looking for a applied data scientist with the proven ability to contribute to project timelines and deliver high-quality AI products that align with business goals. The successful candidate will combine strong technical thought leadership with a collaborative approach to ensure team success.

What you'll be doing

This role combines hands-on technical leadership with strategic oversight in a high-impact environment focused on innovation and continuous development.

  • Design, develop and deploy production-level AI models and data-driven solutions that aligns with strategic business objectives.
  • Tune and optimize AI models to improve their accuracy, efficiency and overall fitness for purpose in various applications.
  • Research and 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 model evaluation and coding standards to maintain production grade code.
  • Work closely with business and engineering partners to define project requirements and direction, and establish development roadmaps.

What you'll bring

Essential Skills

  • 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 data analysis skills, with a foundation in probability, to lead 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 track record of setting model quality and coding best practices to ensure high-quality products.
  • Excellent communication and negotiating skills for conveying complex technical concepts and project considerations 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.
  • Education: Bachelor's degree in Engineering, Computer Science, Data Science, Statistics, Mathematics, Physics or related field, or equivalent work experience

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.

We recognize that to attract the best talent, we need to be flexible, and we are open to discussing work arrangements with you. We take a hybrid approach to the workplace; this role is considered "digital first", which requires attending the office at least one day per week while some teams and colleagues choose to collaborate in the office more frequently.

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.

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.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

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. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

16 Skills Required For This Role

Team Management Communication Data Analytics Unity Game Texts Automated Testing Prototyping Aws Azure Data Science Scikit Learn Pytorch Ci Cd Python Tensorflow Machine Learning

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