Data Scientist - Python/Azure/Snowflake

Data Scientist – London – Hybrid – Excellent salary + Bonus + Career Development

Overview

An exciting opportunity has arisen with a global insurance company for a Data Scientist (Machine Learning). You will develop cutting edge solutions that put analytics at the heart of decision-making. You will work closely with other members of the Strategic Analytics team on high-profile analytics projects that drive business strategies. As a key member of the implementation engineering team, you will extend the capacity to deliver and push the team forward.

Role & Responsibilities

• Lead Orchestration of real-time predictive analytic solutions leveraging Azure Data Factory, Function Apps and other tools
• Manage deployments of real time analytics services
• Use SQL, Python and Snowflake to understand underlying data, and suggest improvements for performance and best practices
• Lead collaboration with project stakeholders and other developers
• Manage code development and deployment using Azure Data Factory, VS Code and GitHub
• Contribute and promote evolving best practices
• Document and manage technical workflows and implementation processes

Essential skills and experience

• 2+ years of leading data/implementation engineering projects
• 2+ years of Python development experience
• 2+ years of API development experience
• Demonstrated experience building data structures to support analytics/research/actuarial functions in an insurance company setting
• Experience with cloud technologies like Snowflake and Databricks
• Familiarity with the MLOps framework
• Exceptional collaboration and relationship building skills
• Comfortable handling ambiguous concepts and breaking down complex problems into manageable pieces
• Strong data manipulation skills for analytics
• Resilient problem solving and critical thinking skills
• Thorough understanding of data warehousing concepts and design
• Ability to communicate effectively to different target audiences
• Flexibility – able to meet changing requirements and priorities

Desirable:

• Experience with Azure Functions is a plus

Package

• Excellent salary – to be discussed upon interest
• Hybrid – 3 days in the office, 2 days remote
• Bonus
• 25 days annual leave + bank holidays (increases to 30 days per year of service)
• 10% pension – they will also match your contribution on top
• Private medical and dental including family cover
• Gym membership
• Discounts – travel, retail, food and many more
• L&D – Career development plans
• Training courses provided by inhouse training academy