We are seeking a highly skilled Senior Data Scientist to lead the design and delivery of AI-driven automation solutions that transform how Funds data is processed, validated, and distributed across the organisation.
This role goes beyond experimentation — you will be responsible for building scalable, production-grade solutions that materially improve operational efficiency, data quality, and time-to-market for critical data products.
You will play a key role in defining the AI strategy within Funds data workflows, leveraging Microsoft-based cloud technologies and modern machine learning approaches to solve complex, real-world challenges.
As a senior individual contributor, you will combine deep technical expertise with strong business understanding, influencing stakeholders and guiding solutions from ideation through to full deployment and continuous optimisation.
Lead the end-to-end development of AI/ML solutions for Funds data workflows — from problem framing to production deployment and optimisation.
Design scalable, maintainable architectures for data science and automation solutions within a Microsoft Azure ecosystem.
Develop and implement machine learning, NLP, and AI-driven automation models to enhance data extraction, validation, and enrichment processes.
Partner closely with engineering teams to industrialise models, ensuring robustness, monitoring, and performance in production environments.
Contribute to best practices for MLOps, CI/CD, model lifecycle management, and performance tracking.
Ensure solutions meet enterprise standards for security, scalability, and reliability.
Translate complex business challenges into data science solutions with measurable impact (capacity gains, accuracy improvements, turnaround time reduction).
Work directly with product, content, and operations teams to prioritise use cases and define success metrics.
Act as a trusted advisor, influencing stakeholders on AI capabilities, limitations, and opportunities.
Provide technical guidance and mentorship to junior team members and peers.
Contribute to the evolution of AI capabilities and standards within the organisation.
Drive adoption of modern tools, frameworks, and approaches across the team.
Build deep understanding of Funds data structures, workflows, and quality frameworks.
Identify opportunities to standardise and automate data processing at scale.
Clearly communicate findings, models, and recommendations to both technical and non-technical audiences.
Produce well-documented, maintainable code and solution designs.
Strong experience in Python-based data science and machine learning development in production environments.
Proven experience delivering AI/ML solutions at scale, not just proofs of concept.
Hands-on experience with Microsoft cloud technologies, including:
Azure Machine Learning
Azure AI Services
Microsoft Fabric / OneLake
Strong understanding of:
Model evaluation, optimisation, and monitoring
Data engineering concepts and pipelines
MLOps practices and deployment frameworks
Experience applying NLP and/or document processing techniques in real-world use cases is highly desirable.
Demonstrated ability to own and deliver complex data science projects end-to-end.
Experience working with large-scale, structured and unstructured datasets.
Track record of delivering measurable business outcomes through data science solutions.
Ability to influence stakeholders and drive decision-making.
Experience working in cross-functional teams across engineering, product, and operations.
Mentorship or informal leadership experience is a strong advantage.
Strong problem-solving mindset with focus on practical, business-driven outcomes.
High level of ownership and accountability.
Curiosity and drive to stay current with emerging AI technologies (including LLMs and automation frameworks).
Ability to balance innovation with pragmatism and delivery.
Degree (or equivalent experience) in Data Science, Computer Science, Mathematics, Engineering, or a related field.
Several years of relevant industry experience in data science, machine learning, or AI engineering roles.
Experience in financial services, market data, or similar domains is a strong advantage.
Career Stage:
Compensation Information:
LSEG is committed to offering competitive Compensation and Benefits. The anticipated annual gross base salary for this position is between 193,300 zł - 305,500 zł. Please be aware base salary ranges may vary by geographic location. In addition to our offered base salary, this role is eligible for our Annual Bonus Plan (”bonus plan”). Target Bonus % will be commensurate with role level and posted career stage. Individual salary will be reflective of job-related knowledge, skills and equivalent experience.Benefits Information:
LSEG roles (excluding internships) are typically eligible for inclusion in our LSEG Benefits program. To view the benefits available for the role you're applying for, please click here. This document provides a list of benefits by country. Simply click on the country where the role is based to view the relevant details. If you have specific questions or would like further details, these can be discussed during your interview.
London Stock Exchange Group (LSEG) Information:
Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
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.
Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
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.
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.
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