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- Tasks: Lead the development of impactful AI solutions and drive innovation in a collaborative environment.
- Company: Join a leading global financial markets infrastructure and data provider.
- Benefits: Enjoy competitive pay, comprehensive benefits, and opportunities for career growth.
- Why this job: Make a real impact by working on pioneering AI products that solve complex challenges.
- Qualifications: Proven experience in deploying AI models and strong programming skills in Python.
- Other info: Flexible hybrid work model with a focus on continuous learning and professional development.
The predicted salary is between 48000 - 72000 £ per year.
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'll be doing:
- 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'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.
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.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
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
Network like a pro! Reach out to your connections in the data science field and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that Principal Applied Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects and models. This is your chance to demonstrate your technical prowess and how you can drive high-impact solutions, just like we do at StudySmarter.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. You’ll need to convey complex concepts clearly to both technical and non-technical partners. Practice explaining your past projects and how they align with business goals.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of our innovative team at StudySmarter.
We think you need these skills to ace Principal Applied Data Scientist
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Principal Applied Data Scientist role. Highlight your experience with AI models and data-driven solutions, as well as your technical leadership skills. We want to see how you align with our business goals!
Showcase Your Technical Skills: Don’t hold back on showcasing your technical prowess! Mention your proficiency in Python, cloud technologies like Azure or AWS, and any relevant libraries. We’re looking for someone who can hit the ground running, so let us know what you bring to the table.
Communicate Clearly: Remember, we value clear communication! When writing your application, convey complex ideas simply and effectively. This is especially important since you'll be working with both technical and non-technical partners. Make it easy for us to understand your thought process.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there. We can’t wait to hear from you!
How to prepare for a job interview at London Stock Exchange Group
✨Know Your AI Models Inside Out
Make sure you can discuss the AI models you've worked on in detail. Be prepared to explain how you designed, developed, and deployed them, as well as any challenges you faced and how you overcame them. This shows your hands-on experience and technical leadership.
✨Showcase Your Collaboration Skills
Since this role requires working closely with business and engineering partners, be ready to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you’ve navigated complex project requirements to achieve team success.
✨Demonstrate Your Problem-Solving Approach
Prepare to discuss real-world problems you've solved using data science methods. Use specific examples to illustrate your analytical skills and how you applied probability and data analysis to develop robust models that align with business goals.
✨Familiarise Yourself with Cloud Technologies
Since expertise in cloud technologies like Azure or AWS is essential, brush up on your knowledge of deployment practices. Be ready to discuss how you've used these platforms to ensure scalable delivery of AI solutions, and any DevOps practices you've implemented to streamline workflows.
