Junior Data Scientist

Junior Data Scientist – AI & Automation

About the Role

We are looking for a Junior Data Scientist to help build AI‑driven automation solutions that improve how Funds data is processed, validated and delivered. This role focuses on the practical application of AI, using Microsoft‑based tools and platforms, to solve real business problems. You will work on automation initiatives that directly improve efficiency, data quality and turnaround times across large‑scale content workflows. Experience in the industry is not required – we are more interested in your ability to apply modern AI technologies effectively and translate ideas into working solutions.

What You’ll Be Doing

• Help design and build AI‑powered automation solutions for Funds data workflows.
• Develop data science solutions using Microsoft AI and data platforms.
• Apply machine learning, natural language processing and rule‑based approaches to automate data processing tasks.
• Build proofs of concept and work with engineers to move successful solutions into production.
• Collaborate with content, product and engineering teams to understand problems and deliver practical solutions.
• Contribute to projects that clearly improve capacity, accuracy or data timeliness.
• Learn Funds data structures, workflows and quality controls.
• Write clean, efficient Python code and document your work clearly.
• Communicate results and insights to both technical and non‑technical colleagues.

What We’re Looking For

Technical Skills

• Experience using Python for data analysis, automation or machine learning.
• Hands‑on exposure to AI or machine learning techniques applied to real datasets.
• Familiarity with Microsoft AI technologies, such as Azure Machine Learning, Azure AI Services or Microsoft Fabric.
• Experience preparing data and evaluating model performance.
• Interest in automation, data quality and operational efficiency.

Personal Qualities

• Problem‑solving mindset with a focus on practical outcomes.
• Curiosity and willingness to learn new tools and domains.
• Comfortable working in a collaborative team environment.
• Ability to explain technical work in clear, simple terms.

Qualifications

• Degree (or equivalent experience) in Data Science, Computer Science, Engineering, Mathematics, Statistics or a related field.
• Relevant experience through employment, internships, academic projects or personal projects.
• Strong interest in applying AI to improve real‑world processes.

Career Stage

Senior Associate

Compensation & Benefits

The anticipated annual gross base salary for this position is betweenzł114,700–zł181,500. The role is eligible for an Annual Bonus Plan. Benefits are provided through the LSEG Benefits programme.

EEO Statement

We are proud to be an equal opportunities employer. We do not discriminate on the basis of 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. We are committed to providing reasonable accommodations for applicants and employees with religious or disability needs.