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- Tasks: Lead the development of scalable AI solutions for financial markets and professionals.
- Company: Join a pioneering organisation focused on innovative AI products and analytics solutions.
- Benefits: Enjoy competitive pay, comprehensive benefits, and opportunities for career growth.
- Why this job: Be part of a collaborative team driving impactful projects in a dynamic environment.
- Qualifications: Extensive experience in data science, Python programming, and cloud technologies required.
- Other info: Ideal for those passionate about productionising AI and solving real-world problems.
The predicted salary is between 48000 - 84000 £ per year.
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 would love to talk to you!
Role summary: As an individual contributor Principal Data Scientist, you will drive the development of high-impact, scalable AI solutions, moving beyond prototypes to production systems. We are looking for an applied data scientist with the proven ability to manage 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 will be doing: This role combines hands-on technical leadership with strategic oversight in a high-impact environment focused on innovation and continuous development.
- Lead end to end technical development process including; Design, 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.
- 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 will 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.
- Working knowledge of DevOps practices, including code versioning, CI/CD pipelines, automated testing, and monitoring, to streamline development workflows and improve deployment reliability.
- Bachelor's degree in Engineering, Computer Science, Data Science, Statistics, Mathematics, Physics or related field, or equivalent work experience.
What you will 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 is 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.
Principal Applied Data Scientist employer: London Stock Exchange Group
Contact Detail:
London Stock Exchange Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Applied Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in AI and data science, especially in financial markets. This will not only help you understand the challenges we face but also allow you to discuss innovative solutions during your interview.
✨Tip Number 2
Showcase your experience with deploying AI models in production. Be ready to discuss specific projects where you've successfully moved from prototype to production, highlighting the impact of your work on business goals.
✨Tip Number 3
Brush up on your communication skills, as you'll need to convey complex technical concepts to both technical and non-technical partners. Practising how to explain your past projects in simple terms can be a game changer.
✨Tip Number 4
Network with current or former employees in similar roles. They can provide insights into our company culture and expectations, which can help you tailor your approach and stand out during the selection process.
We think you need these skills to ace Principal Applied Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in deploying AI models and solutions, particularly in production environments. Emphasise your technical skills in Python and relevant libraries, as well as your experience with cloud technologies like Azure or AWS.
Craft a Compelling Cover Letter: In your cover letter, express your passion for productionising AI solutions and your collaborative approach to working with teams. Mention specific projects where you've successfully led the development of AI models and how they aligned with business goals.
Showcase Relevant Projects: Include a section in your application that showcases specific projects you've worked on. Detail your role, the challenges faced, and the impact of the solutions you developed, especially those that demonstrate your ability to manage project timelines and deliver high-quality products.
Highlight Communication Skills: Since the role requires excellent communication skills, provide examples of how you've effectively conveyed complex technical concepts to both technical and non-technical partners. This could be through presentations, reports, or collaborative projects.
How to prepare for a job interview at London Stock Exchange Group
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with AI models and data science methods in detail. Highlight specific projects where you've successfully deployed AI solutions, focusing on the challenges you faced and how you overcame them.
✨Demonstrate Collaboration Skills
Since this role involves working closely with teams, share examples of how you've collaborated with both technical and non-technical partners. Emphasise your ability to communicate complex concepts clearly and effectively.
✨Prepare for Problem-Solving Questions
Expect to tackle real-world problems during the interview. Brush up on your data analysis skills and be ready to explain your thought process when developing and tuning AI models, as well as how you ensure they meet business objectives.
✨Familiarise Yourself with Cloud Technologies
Given the emphasis on cloud technologies like Azure and AWS, make sure you understand their deployment practices. Be ready to discuss how you've used these platforms in past projects to enhance scalability and performance.
