Lead Data Scientist, Shipping

London Stock Exchange Group; London; On-site; GBP 150,000 - 200,000; Full time

Job summary

An established industry player is seeking a dynamic leader to drive the modernization of data systems in a cloud-based environment. This role involves designing and maintaining complex Python-based models tailored for the commodity market, ensuring compliance with governance and regulatory standards. The ideal candidate will have extensive experience in data modelling, particularly in cloud settings like AWS or Azure, and will be adept at utilizing technologies such as Databricks and Spark. Join a forward-thinking organization and make a significant impact on the future of data management and analytics.

Qualifications

• 5+ years of experience in data modelling with at least 2 years in a leadership role.
• Master's degree in a relevant field is required.

Responsibilities

• Lead initiatives to modernize and streamline data systems and processes.
• Establish standards and best practices for freight modelling.

Skills

Python

Cloud-based technology

Data modelling

Geospatial algorithms

Machine learning

Education

Master's degree in Data Science

Master's degree in Engineering

Master's degree in Maths

Master's degree in Physics

Master's degree in Computer Science

Tools

AWS

Azure

Databricks

Spark

Job description

Key Responsibilities

• Lead initiative to modernize and streamline data systems/processes, including transitioning to a new cloud-based platform
• Working with cloud-based technology to address shipping business requirements
• Enforce and establish standards, policies and best practices for freight modelling whilst ensuring compliance with data governance, regulatory requirements and metadata management.

Required Skills/Experience

• Experience designing, building and maintaining complex Python-based models in the commodity market domain.
• Experience setting up models and data flows in cloud-based environments like AWS or Azure
• Knowledge of related technologies such as Databricks and Spark
• Experience with geospatial algorithms and machine learning

Qualifications

• Higher education with Master's degree in Data Science, Engineering, Maths, Physics, Computer Science or a related field
• 5+ years experience in data modelling or related disciplines, with at least 2 years in a leadership role