Job Description

Posted 1 week ago

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

Skills: