11 дней назад
Associate, Data Science (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Associate, Data Science (AI) (Python, Snowflake, Power BI): Productionising data science and AI prototypes into reliable analytics applications and services with an accent on modular data workflows, cloud deployment, and governed analytics platforms. Focus on modernising legacy solutions, applying testing and version control, and supporting data science products across EMEA time zones.
Location: London, United Kingdom; hybrid arrangement with a minimum of four days per week in the office
Company
is a global investment firm developing data and technology solutions for clients and investing partners.
What you will do
- Productionise data science and AI prototypes into reliable, supportable applications and services.
- Deploy Python-based analytics solutions using containerised or cloud-based delivery patterns.
- Provide technical guidance, templates, and safe pathways for business users and citizen developers to move prototypes into production.
- Apply clean architecture, source control, testing, and deployment standards with global data science and engineering teams.
- Modernise legacy analytics solutions using Python, Snowflake, and governed platforms.
- Maintain Power BI dashboards, recurring analytical workflows, documentation, runbooks, and operational handoffs while providing EMEA time-zone support.
Requirements
- 2–5 years of experience in data science, software engineering, data engineering, or a related technical role.
- Practical experience with Python and data-focused application development.
- Familiarity with analytics platforms such as Power BI, Snowflake, or similar data ecosystems.
- Experience with cloud deployment concepts, DevOps practices, version control, and CI/CD pipelines is preferred.
- Strong analytical thinking, problem-solving, communication, organisation, and documentation skills.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience.
Culture & Benefits
- Hybrid work with at least four office days per week in London.
- Collaborative, inclusive, and professional working environment.
- Opportunities to develop new skills and work with evolving AI-enabled analytics technologies.
- Equal opportunity employer committed to mutual respect and inclusion.
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