Junior Data Scientist

London Stock Exchange Group; Taguig; On-site; PHP 7,634,000 - 11,026,000; Full time

Benefits offered by this job

Healthcare

Retirement planning

Volunteer days

Wellbeing initiatives

Job summary

London Stock Exchange Group (LSEG) is seeking a Senior Associate to join the Emerging Tech Standard Delivery Team, partnering with Operations and Technology to design data‑driven financial analytics solutions, including NLP, LLMs and RAG workflows, that deliver clear business value across D&A.

You will build data pipelines, contribute to ML model development, and work across cloud platforms with CI/CD and MLOps practices, while communicating complex concepts to stakeholders and collaborating

Qualifications

• Master's degree in Statistics, Mathematics, or Computer Science with a Data Science focus.
• Strong foundation in data analytics, ML/NLP, and data engineering practices.
• Experience with Python and core data science libraries; familiarity with cloud platforms.

Responsibilities

• Develop data acquisition, cleaning, transformation, and processing workflows.
• Design and improve financial analytics data pipelines for end‑to‑end experiences.
• Collaborate with analytics experts to translate data needs into model components.
• Contribute to ML/DL model development, including NLP, LLMs, and RAG approaches.
• Build evaluation frameworks to measure automation and AI effectiveness.
• Engage in data processing tasks like web scraping, entity extraction, and document prep.
• Support cloud development (AWS or similar) with CI/CD and MLOps best practices.
• Stay current with analytics techniques and financial data trends.

Skills

Python

NLP

ML & DL

Data pipelines

Cloud (AWS/Azure)

CI/CD

SQL

Communication

Collaboration

Git

Education

Master's degree in Statistics, Mathematics, CS

Tools

Git

Pandas/NumPy

LLMs

Job description

The Emerging Tech Standard Delivery Team drives the adoption of advanced technologies and develops enterprise‑ready solutions for D&A Operations. In this role, the individual partners with Operations and Technology teams to design data‑driven solutions that deliver clear business and customer value. The position requires strong expertise in data analytics, NLP, deep learning, and data communication, along with the ability to learn financial content and core D&A business processes. The individual must stay current with emerging technologies and collaborate closely with operations groups and specialized machine learning teams to deliver scalable, high‑impact solutions.

Role, Responsibilities & Key Accountabilities:

• Contribute to the development of data acquisition, cleaning, transformation, and processing workflows as part of the enterprise data management framework.
• Support the design and improvement of financial analytics data pipelines, helping integrate tools and services to create smooth, end‑to‑end user experiences.
• Work with analytics domain experts to understand data requirements and translate them into clear tasks, models, or pipeline components under the guidance of senior team members.
• Assist in implementing data solutions by collaborating with engineering, product, and project delivery teams.
• Participate in building and evaluating machine learning and deep learning models, including NLP, LLMs, and RAG‑based approaches.
• Help create evaluation frameworks that measure the effectiveness of automation and AI solutions.
• Carry out data processing tasks such as web scraping, entity extraction, and pre‑/post‑processing of structured, semi‑structured, and unstructured documents (e.g., PDFs, scanned files).
• Support cloud‑based development (AWS or similar), including onboarding workloads and following CI/CD and MLOps best practices.
• Stay current with emerging technologies, analytics techniques, and financial data trends to continually improve your skills.

Required Skills:

• 0–2 years of experience in data science, analytics, or statistical modelling (including internships or academic projects).
• Foundational knowledge in data analytics, feature engineering, ML, NLP, LLMs, and RAG workflows.
• Proficiency with Python and familiarity with core data science libraries (Pandas, NumPy, Scikit‑learn, etc.).
• Experience using Git and exposure to CI/CD pipelines (GitLab/GitHub runners).
• Understanding of relational databases, statistics, and basic statistical programming concepts.
• Ability to work with large datasets and perform data cleaning, transformation, and exploratory analysis.
• Exposure to MLOps fundamentals and experience working with cloud platforms (AWS/Azure).
• Ability to set and uphold coding standards.
• Strong analytical thinking, problem‑solving ability, and prioritization skills.
• Effective communication skills with the ability to explain technical concepts clearly.
• Ability to collaborate across teams, take feedback, and contribute to shared goals.
• Hands‑on experience with leading commercial or open‑source data management tools.
• Excellent written, verbal, and presentation skills, with the ability to present to peers, senior management, and cross‑functional partners.
• Broad business awareness and understanding of relevant internal business relationships.
• Ability to resolve complex business challenges using deep technical knowledge and industry insight.
• Preferred Exposure to financial services, investment banking, or related domains.
• Familiarity with Refinitiv or LSEG platforms and datasets.
• Experience working with distributed or global teams.

Education:

Master’s degree in Statistics, Mathematics, or Computer Science with a Data Science certification, or an Engineering degree specializing in Data Science and Artificial Intelligence. Proficiency in Python, R, and SQL.

Career Stage:

Senior Associate London Stock Exchange Group (LSEG)

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. 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.

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.
• 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.

Our Data & Analytics, Capital Markets and Post Trade divisions have a combined power that provides a comprehensive, integrated suite of trusted financial market infrastructure services to help our customers pursue their ambitions.

Explore our divisions, LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across Europe, the Middle East, Africa, North America, Latin America and Asia Pacific.

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