At a Glance
- Tasks: Lead the development of scalable AI solutions for financial markets and collaborate with talented data scientists.
- Company: Join LSEG, a global leader in financial markets infrastructure and data services.
- Benefits: Enjoy competitive pay, comprehensive benefits, and opportunities for career growth in a hybrid work environment.
- Why this job: Be part of innovative projects that democratize analytics and contribute to financial stability worldwide.
- Qualifications: Extensive experience in data science, strong programming skills in Python, and expertise in cloud technologies required.
- Other info: Flexible work arrangements and a commitment to diversity and inclusion make this an exciting opportunity.
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’d love to talk to you!
Role summary:
As a Senior Data Scientist, you will drive the development of high-impact, scalable AI solutions, moving beyond prototypes to production systems.
We are looking for an experienced data scientist with the proven ability to manage project timelines and deliver high-quality code that aligns with business goals.
The successful candidate will combine strong problem-solving skills 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.
- 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 coding standards to maintain robust and clean code.
- Work closely with Software Engineers and multi-disciplinary teams to define project requirements and direction, and establish development roadmaps.
What you’ll bring:
- 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 statistical analysis skills, with a foundation in probability, to support 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 ability 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.
- 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.
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.
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.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
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Senior Applied Data Scientist employer: LSEG
Contact Detail:
LSEG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied Data Scientist
✨Tip Number 1
Make sure to showcase your experience in deploying AI models to production. Highlight specific projects where you successfully moved from prototype to production, as this aligns perfectly with what we're looking for.
✨Tip Number 2
Familiarize yourself with our tech stack, especially Python and libraries like TensorFlow and PyTorch. Being able to discuss your proficiency in these tools during the interview will demonstrate your readiness for the role.
✨Tip Number 3
Emphasize your collaborative skills and experience working in multi-disciplinary teams. We value teamwork highly, so sharing examples of successful collaborations can set you apart.
✨Tip Number 4
Stay updated on cloud technologies, particularly Azure and AWS. Discussing your experience with deployment practices in these environments will show that you are prepared to handle the scalability challenges we face.
We think you need these skills to ace Senior Applied Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in deploying AI models and solutions to production. Emphasize your proficiency in Python and relevant libraries like TensorFlow and PyTorch, as well as your expertise in cloud technologies such as Azure or AWS.
Craft a Compelling Cover Letter: In your cover letter, express your passion for productionising AI solutions and your collaborative approach to problem-solving. Mention specific projects where you have successfully managed timelines and delivered high-quality code that aligns with business goals.
Showcase Your Technical Skills: Be sure to include examples of your statistical analysis skills and your experience with DevOps practices. Highlight any relevant projects where you established coding standards or optimized AI models for better performance.
Prepare for the Interview: If selected for an interview, be ready to discuss your technical expertise and how you've applied data science methods to solve real-world problems. Prepare to explain complex technical concepts clearly, as you'll need to communicate effectively with both technical and non-technical partners.
How to prepare for a job interview at LSEG
✨Showcase Your AI Experience
Be prepared to discuss specific AI models you've developed and deployed. Highlight your experience in productionizing AI solutions, especially in financial markets, as this aligns closely with the company's focus.
✨Demonstrate Problem-Solving Skills
Prepare examples of how you've tackled complex data science problems in the past. Emphasize your strong statistical analysis skills and how they contributed to successful project outcomes.
✨Familiarize Yourself with Coding Standards
Understand the importance of coding standards in maintaining high-quality code. Be ready to discuss your experience with Object-Oriented programming in Python and how you ensure clean, maintainable code.
✨Communicate Effectively
Practice summarizing complex technical concepts in a way that is clear to both technical and non-technical audiences. Strong communication skills are essential for collaboration with multi-disciplinary teams.