Role summary
We are seeking a Graduate Data Scientist with AI or ML engineering skills to join our dynamic software delivery team. This role is pivotal in bridging the gap between data science, AI engineering, and project delivery. You will work closely with AI engineers and cross-functional project teams to analyse data, identify key insights, and contribute to the development and management of AI-driven solutions, including implementing, evaluating, and deploying large language models into production environments.
What you'll be doing
* Collaborate with AI engineers and software delivery teams to design, develop, and deploy data-driven solutions.
* Work with the project team and largely alongside our Data Scientists and engineers to develop proof of concept solutions, including development work, building golden datasets and evaluating these datasets.
* Analyse production data to identify trends, anomalies, and performance issues, and provide actionable insights.
* Define and monitor key metrics to ensure the health and effectiveness of AI models in production.
* Support the lifecycle management of LLMs, including fine-tuning, evaluation, deployment, and monitoring.
* Partner with project teams to understand business needs and translate them into data science solutions.
* Develop and maintain robust, scalable code for data pipelines, model training, and evaluation.
* Contribute to the continuous improvement of data science practices and tooling within the organization.
* We work as part of a global team, with team members in Manila, Thailand, Europe and the Americas. Occasionally, you will be required to start early or finish late to collaborate across time zones.
Required Skills & Experience
* A degree in a STEM (science, technology, engineering, mathematics) subject, ideally in Data Science.
* Strong programming skills in Python (or similar), with experience in data manipulation and machine learning.
* Familiarity with LLMs and generative AI technologies, including prompt engineering and model fine-tuning.
* Strong communication skills and the ability to work effectively with cross-functional teams.
Preferred Qualifications And Desirable Experience
* Experience with version control (e.g., Git), CI/CD pipelines, and containerization (e.g., Docker).
* Knowledge of data governance, privacy, and ethical AI practices.
* Practical experience or application in a software delivery or technology-driven environment.
* Experience with cloud platforms (e.g., Azure, AWS) and MLOps tools is a plus.
Join us and be part of a team that values innovation, quality, and continuous improvement. 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. We are proud to be an equal opportunities employer and do not discriminate on protected characteristics. We are committed to sustainability and supporting our customers in meeting their objectives. Our charity, the LSEG Foundation, provides grants to community groups that help people access economic opportunities and build a secure future with financial independence.
Seniority level
* Entry level
Employment type
* Full-time
Job function
* Business Development and Sales
Industries
* IT Services and IT Consulting
* Financial Services
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