Proficiency in python with pandas numpy scikit-learn
Familiarity with sql for relational databases
Experience with data preprocessing techniques
The role focuses on applying basic machine learning and data analysis techniques to assist in developing solutions that address customer needs within the financial industry
Job Summary
The role focuses on applying basic machine learning and data analysis techniques to assist in developing solutions that address customer needs within the financial industry.
Candidates will collaborate with multi-functional teams to gather and analyze data, ensuring data quality while supporting the creation of dashboards and reports.
LSEG offers a hybrid working model, tailored benefits including healthcare and retirement planning, and a commitment to diversity and sustainability.
Matching Summary
Match Score: 75
The role focuses on applying basic machine learning and data analysis techniques to assist in developing solutions that address customer needs within the financial industry.
Skills & Requirements
Must-have
Proficiency in Python with Pandas NumPy scikit-learn
Familiarity with SQL for relational databases
Experience with data preprocessing techniques
Basic knowledge of cloud platforms AWS GCP Azure
Understanding of machine learning algorithms
Nice-to-have
Interest in deep learning frameworks TensorFlow PyTorch
Familiarity with NoSQL databases MongoDB Cassandra
Knowledge of basic NLP techniques for text data
Interest in LLMs and agentic frameworks
Experience with data visualization tools Tableau Power BI
Key Requirements
3-5 years experience in data science or machine learning
Bachelor's degree in Computer Science Engineering Data Science
Ideally familiar with finance or financial industry