Lead Applied Data Scientist, London Stock Exchange
1+ day a week in office
Stock exchange in the City of London
Job no longer available
Stock exchange in the City of London
501-1000 employees
Job no longer available
1+ day a week in office
501-1000 employees
Company mission
To make things happen, out there in the real world, where it matters.
Role
Who you are
- We are looking for lead applied data scientist with the proven ability to manage project timelines and deliver high-quality models and code that aligns with business goals
- The successful candidate will combine strong problem-solving skills with a collaborative approach to ensure team success
- 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 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
- Bachelor’s degree in Engineering, Computer Science, Data Science, Statistics, Mathematics, Physics or related field, or equivalent work experience
Desirable
- Working knowledge of DevOps practices, including code versioning, CI/CD pipelines, automated testing, and monitoring, to streamline development workflows and improve deployment reliability
What the job involves
- As an individual contributor Lead Data Scientist, you will drive the development of high-impact, scalable AI solutions, moving beyond prototypes to production systems
- This role combines hands-on technical leadership with strategic oversight in a high-impact environment focused on innovation and continuous development
- 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 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
Application process
- End Date: April 23, 2025
Salary benchmarks
Our take
The London Stock Exchange is one of the world’s oldest stock exchanges, with a history dating back over 300 years. It operates as a part of LSEG (London Stock Exchange Group), one of the world’s leading providers of financial markets infrastructure, as a marketplace to enable stock brokers and traders to buy and sell stocks, bonds, and other securities.
The London Stock Exchange has lived through a stream of innovations; from telegraph and telephone, to the Market Price Display System, automatic trade matching, and the digitisation of issuer services. In 2019 it acquired Refinitiv, a financial information company, and in doing so became a global financial news and data business.
Most recently, the London Stock Exchange has made moves to support the evolution of private markets, and further build its presence in this space. It partnered with Floww, a platform that connects investors with private companies, with aims to launch a private primary capital raising facility, as well as explore new technologies and secondary market options for the platform.
Steph
Company Specialist at Welcome to the Jungle
Insights
21% employee growth in 12 months
Company
Funding (2 rounds)
Dec 2019
$26.7m
LATE VC
Feb 2018
$26.7m
LATE VC
Total funding: $53.3m
Company benefits
- Hybrid working options
- Healthcare
- Retirement planning
- Paid volunteering days
- Wellbeing initiatives
Company HQ
City of London, London, UK
Leadership
David Schwimmer
(CEO, not founder)Was Managing Director at Goldman Sachs for 20 years.
Share this job
View 70 more jobs at London Stock Exchange