Design, develop, test, and deploy scalable, production‑ready code and machine learning models.
Transform large, complex datasets into actionable insights, recommendations, and data‑driven decisions.
Develop innovative approaches to pattern recognition using machine learning, statistical, and analytical techniques.
Design and deploy models to real‑time APIs, ensuring reliability, performance, and scalability.
Communicate insights and model outcomes clearly to both technical and non‑technical audiences.
Maintain, enhance, and optimize existing codebases and data pipelines.
Drive delivery accountability for both project‑based initiatives and BAU work, aligned to agreed timelines and priorities.
Ensure solutions conform to IT and Enterprise Architecture standards where applicable.

MSc in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field (PhD preferred).
2+ years of experience across the end‑to‑end model development lifecycle, working with large and complex datasets (industry or academic/post‑doctoral experience considered).
2+ years of experience programming in Python, with a solid understanding of software engineering best practices (modularity, code reusability, version control, repositories).
Proficiency in SQL and Git, with hands‑on experience collaborating in shared codebases.
Experience productionizing machine learning models, including monitoring, maintenance, and MLOps practices.
Familiarity with data warehouse concepts, ETL strategies and data engineering best practices.
A strong track record of building robust, maintainable, high‑quality code.
Ability to operate optimally in a data‑driven software engineering environment and translate data into business value.
Strong communication and collaboration skills, with the ability to work across disciplines.

Compelling rewards package including base compensation, eligibility for annual bonus, retirement savings, share plan, health benefits, personal wellness, and volunteer opportunities.
Hybrid flexible work model.
Outstanding career development opportunities.
We’ll support your professional development education.
Competitive vacation package with the option to purchase 5 extra days off per year.
Employee-driven programs focused on gender, LGBTQ+, origins, diversity, and inclusion.
Corporate wellness programs to support our employees’ physical and mental health.

Data Scientist

Key skills