Data Scientist, Global Smaller Companies Equities

About the role

Full-time Data Scientist supporting Invesco’s Global Smaller Companies Equities team in Henley-on-Thames. The role combines Python, R, SQL, automation, machine learning and financial datasets to enhance investment research, screening, idea generation and portfolio construction while working closely with Portfolio Managers, Analysts, technology, data and risk teams.

Responsibilities

• Build and maintain automated tools and workflows supporting investment research across sectors and geographies.
• Combine data science techniques with fundamental stock research on watchlists and existing holdings.
• Engineer and manage vendor and proprietary datasets for screening, idea generation and portfolio construction.
• Apply scripting, artificial intelligence and machine learning techniques to identify patterns and research small companies at scale.
• Maintain financial models, ensuring data feeds, calculations and outputs are robust, reproducible and scalable.
• Communicate quantitative research, tools and methodologies clearly to technical and non-technical stakeholders.

Requirements

• Degree or equivalent in statistics, financial engineering, mathematics, computer science, data science or a related subject.
• Ability to use Python, R, SQL or other languages for engineering large datasets.
• Experience applying scripting, automation or artificial intelligence techniques to research or workflows.
• Fundamental understanding of core machine learning concepts.
• Knowledge of and willingness to learn about investing and financial markets; direct equity-market experience is not required.

Application Project

• Submit an example of a personally designed and built project alongside the application.
• Describe the problem solved, technologies used and your specific contribution.
• Where available, provide a live demo, GitHub repository or supporting documentation.
• Examples may include web applications, machine learning models, data platforms, analytics tools or automation solutions.

Work Arrangement and Benefits

• This is a full-time employee position based in Henley-on-Thames, Oxfordshire.
• As of October 1, 2025, employees are expected to work at least four full days weekly in the advertised office.
• Benefits include healthcare, annual leave, hybrid-working options, pension provisions, income protection and life insurance.
• Additional benefits include health and wellness support, volunteering days and enhanced parental leave.