Drive excellence and foster a culture of continuous improvement
Act as a mentor to other team members, sharing expertise and guiding them in best practices for design, development, and support of products, while also leading technical initiatives and contributing to architectural decisions.
Develop a deep empathy for our clients by understanding the nuances of their connected financial data
Contribute to product strategy, challenge assumptions, and architect solutions
Identify and prototype opportunities to embed AI/ML into our core products
Champion the use of AI tools to streamline engineering operations
Take ownership of large-scale projects, championing ideas from discovery to production
Balance big-picture vision with hands-on delivery

Requirements

A broad and deep understanding of a wide range of data science techniques, including classic ML, deep learning and cutting edge AI & Agents, honed through extensive practical experience across a range of domains
Expert-level proficiency in Python and its data science ecosystem (e.g., scikit-learn, pandas), with the ability to select the right tools for complex problems and set technical standards for the team
Advanced, hands-on expertise in SQL and big data platforms like Databricks, used for sophisticated data manipulation, feature engineering, and optimizing complex data workflows
Extensive, proven experience in MLOps: owning the end-to-end lifecycle of production models, including designing scalable and reliable deployment strategies (e.g., serverless applications, containerization) and model monitoring, observability and continuous improvement
Strong proficiency in designing and utilizing CI/CD pipelines and cloud infrastructure (e.g., AWS, GCP, Azure) to automate and streamline the delivery of data science products, with an appreciation of wider software development best practices and how they can be applied
Exceptional ability to articulate complex data science concepts and solutions, influencing both technical and non-technical stakeholders and shaping product strategy through clear, data-driven narratives
An intuitive understanding why data protection and security practices are important
A degree in a STEM subject

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

data science techniquesmachine learningdeep learningPythonSQLMLOpsCI/CD pipelinescloud infrastructuredata manipulationfeature engineering

Soft Skills

mentorshipcommunicationproblem-solvingstrategic thinkingcollaborationinfluencing stakeholderscontinuous improvementempathyownershipvision