At a Glance
- Tasks: Lead the development of impactful AI solutions for financial markets.
- Company: Join a leading global financial markets infrastructure and data provider.
- Benefits: Enjoy competitive pay, comprehensive benefits, and career growth opportunities.
- Other info: Flexible hybrid work environment with a focus on continuous learning.
- Why this job: Make a real impact by building innovative AI products with a collaborative team.
- Qualifications: Proven experience in deploying AI models and strong programming skills in Python.
The predicted salary is between 36000 - 60000 € 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’d love to talk to you!
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.
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.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
Principal Applied Data Scientist in City of London employer: LSEG
At LSEG, we pride ourselves on being an exceptional employer, offering a dynamic and collaborative work environment that fosters innovation and professional growth. As a Principal Applied Data Scientist, you will engage in high-impact projects that leverage cutting-edge AI technologies while enjoying competitive benefits and a commitment to your career development. Our inclusive culture values individuality and encourages continuous learning, making it an ideal place for talented professionals looking to make a meaningful impact in the financial markets.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Applied Data Scientist in City of London
✨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 dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best AI projects and models. This not only demonstrates your technical prowess but also gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, as communication is key when working with both technical and non-technical teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our innovative team.
We think you need these skills to ace Principal Applied Data Scientist in City of London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI solutions and data science methods. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!
Showcase Your Technical Skills:Since this role requires strong programming skills, especially in Python, be sure to mention your proficiency with libraries like TensorFlow and PyTorch. We love seeing examples of your work, so include links to any projects or GitHub repositories if you can!
Communicate Clearly:Your ability to convey complex technical concepts is key! When writing your application, aim for clarity and conciseness. We appreciate straightforward communication that demonstrates your understanding of both technical and business aspects.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at LSEG
✨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 tuned and optimised them, and share specific examples of how they aligned with business objectives. This shows your technical expertise and your ability to connect your work to real-world applications.
✨Brush Up on Your Programming Skills
Since proficiency in Python and key data science libraries is essential, take some time to review your coding skills. Be ready to demonstrate your knowledge of Object-Oriented programming and how you've used libraries like TensorFlow or PyTorch in past projects. A practical coding exercise might come up, so practice makes perfect!
✨Research the Company’s Projects
Familiarise yourself with the company’s current AI products and projects. Understanding their strategic goals will help you tailor your responses and show that you're genuinely interested in contributing to their success. It also gives you a chance to ask insightful questions during the interview.
✨Prepare for Collaborative Scenarios
Given the emphasis on teamwork, think of examples where you've successfully collaborated with others, especially in cross-functional teams. Be ready to discuss how you communicated complex technical concepts to non-technical partners, as this will highlight your communication skills and adaptability.
