Junior Data Scientist Job at Barclays (London)

Junior Data Scientist

Barclays

Location:
United Kingdom , London

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Join us at Barclays as a Junior Data Scientist within our Investment Bank Research Central function. This Central Research team offer actionable insights and innovative products to our clients, partnering with them to ensure they can leverage our resources to make informed investment decisions. As a Data Scientist, you will support the wider objective of the team in seeking to integrate Data Science into the investment process across a range of financial asset classes. This will require appropriate use of Python programming and the ability to run Machine Learning models. Working alongside Research Analysts you will provide more detailed data led research which can then be published and used in conversations with clients. Additionally, you will contribute to other mandates within the Data Science team including the publication of standalone data led research specific to more niche markets.

Job Responsibility:

Analysis of market, sector, corporate and/or economic data to help develop investment theses for your coverage universe to produce best in class Research
Research may range from individual company or sector notes, through to long dated thematic reports
Presentation of Research views to Barclays Clients
this can be through direct, face to face and virtual interactions, Research hosted events and written communications
Engagement with Markets, Client Strategy and other stakeholders, to raise awareness of your Research both to Clients and internally
Provision of insights and Research views to internal Clients to help them navigate financial markets and risks
Collaboration with the Supervisory Analyst, Compliance and other stakeholders to ensure Research is produced and delivered to Clients and internal stakeholders in a compliant manner

Requirements:

PhD or MSc in STEM academic field including Financial/Applied Mathematics, Physics, Engineering
Previous professional experience in Data Science
Coding proficiency in the data science stack (Python, SQL, Pyspark, Polars) with the ability to run Machine Learning models
Excellent communication skills dealing with internal and external stakeholders

Nice to have:

Willingness to write Investment Research and speak to hedge fund clients
Experience/understanding of Quantitative finance topics and financial markets
An understanding of professional ethics and the regulatory environment
Ability to prioritise tasks and manage multiple requests efficiently

Additional Information:

Job Posted:
February 04, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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