Sustainable Investment Data Scientist

London Stock Exchange Group; City Of London; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading global financial data provider is seeking a detail-oriented Data Scientist to work with large-scale financial datasets. The role involves applying advanced data science techniques to Sustainable Investment data, conducting exploratory analyses, and collaborating with cross-functional teams. The ideal candidate has expertise in Python, SQL, and data quality assurance. Opportunities for career growth in a domain blending Sustainable Finance and advanced analytics are offered.

Qualifications

• 2+ years of experience with large-scale financial datasets.
• Strong foundation in financial data quality assurance and anomaly detection.
• Familiarity with Sustainable Investment and ESG data is a plus.

Responsibilities

• Apply statistical techniques and Python-based workflows to validate datasets.
• Conduct exploratory data analysis on Sustainable Investment datasets.
• Review vendor data methodologies and compare with internal findings.
• Define outlier logic for new sustainable data pipelines.
• Prototype and operationalize new data quality checks.
• Collaborate with cross-functional teams to enhance data pipelines.

Skills

Python

SQL

Statistical analysis

Data quality assurance

Anomaly detection

Exploratory data analysis

NLP tools

LLM tools

AWS S3

AWS Athena

Power BI

Matplotlib

Seaborn

Job description

We are seeking a detail-oriented and technically proficient Data Scientist with 2+ years of experience working with large-scale financial datasets. The ideal candidate is skilled in Python, SQL, and statistical analysis, with a strong foundation in financial data quality assurance, anomaly detection, and exploratory data analysis. Experience in a data environment is helpful. Familiarity with Sustainable Investment, ESG data, or Index methodologies is a plus, but not essential.

Key Responsibilities

Apply statistical techniques and Python-based workflows to supervise and validate large-scale datasets.

Conduct exploratory data analysis on new Sustainable Investment datasets to detect anomalies and assess operational risks.

Review vendor data methodologies and compare them with internal analytical findings.

Define outlier logic and quality control thresholds for new sustainable data pipelines.

Prototype and operationalize new data quality checks.

Extract insights from unstructured data (e.g., text) using NLP and LLM tools.

Perform ad hoc analysis to support client queries, methodology discussions, and process improvements.

Collaborate with cross-functional teams to enhance data pipelines and operational efficiency.

Required Skills

Programming: Python, SQL, experience with NLP and LLM tools.

Data Analysis: statistical modelling, anomaly detection, trend analysis, EDA, data profiling, validation frameworks.

Big Data Tools: AWS suite, including S3 and Athena.

Visualization: Power BI, Matplotlib, Seaborn.

Domain Knowledge: ESG/Sustainable Investment and Index data (preferred but not essential).

Strong communication skills and collaborator engagement.

Proactive, solution-oriented mindset with strong problem-solving abilities.

What This Role Offers

Opportunity to apply advanced data science techniques to complex Sustainable Investment datasets.

Exposure to cross-functional collaboration with Research, Product, and Engineering teams.

Career growth in a domain that blends Sustainable Finance, Index Strategies, and advanced analytics.

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.

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.