Hybrid Lead Data and AI Scientist

at Causeway Geotech Ltd

• Job title: Lead Data and AI Scientist
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Postgraduate Degree
• Tech skills: Apache, Azure, Cloud, PySpark, Python, Spark, SQL
• Location requirements: Hybrid, Middlesbrough, United Kingdom

About the role

• Lead Data & AI Scientist at Causeway building ML models and data platforms for construction software. Drive insights, implement data architectures, and collaborate with product, architecture, and engineering teams.

Responsibilities

• Identify, mine and analyse the data sets to identify valuable insights.
• Identify and feedback changes to data collection and capture that may enable additional insights.
• Coordinate across teams to implement data models and monitor outcomes.
• Develop custom data models and analysis algorithms to apply to the data sets.
• Use AI-driven approaches to create scalable and innovative solutions where necessary.
• Ensure understanding and demonstrate the effectiveness and accuracy of data sources, data gathering techniques and resulting analytics.
• Develop processes and tools to monitor and analyse performance and accuracy.
• Work closely with product owners, architects and engineers to drive product development and business outcomes.

Requirements

• A Master's degree or PhD in Mathematics, Physics, Computer Science or other quantitative field.
• 5+ years' experience using data analytical languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets.
• Experience with Apache Spark / PySpark.
• Experience with relational, non-relational and data lake sources.
• Strong problem-solving skills with an emphasis on product development.
• Experience working with and creating data architectures.
• Knowledge of a variety of machine learning techniques and the MLOps lifecycle including fine tuning models.
• Knowledge of advanced statistical and data mining techniques and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams and communicating with senior stakeholders.
• A drive to learn and master new technologies and techniques.
• Experience with data visualisation tools, PowerBI preferred.
• Experience with a cloud provider, Azure preferred.

Benefits

• 25 days annual leave + public holidays, increasing with length of service.
• 4% matched pension.
• Income protection and life assurance.
• Access to our award-winning benefits platform.
• Dedicated EAP available 24/7 for mental health support.
• £100 allowance towards a fitness club.
• Dell discounts.
• Private Medical Insurance.
• Paid study leave and volunteering days.
• Car Scheme.
• Hybrid working and opportunity to work from modern, collaborative offices.
• Emphasis on work-life balance.