Data Scientist

Job Description

Company Information

Founded in 1990 as a provider of integrated modelling software for the oil and gas industry, our organisation has grown into a highly successful enterprise. We now serve over 450 clients worldwide, ranging from universities to major multinational corporations. In our most recent fiscal year, the company achieved a turnover of £66 million and has accumulated significant cash reserves earmarked for future expansion.

In this regard, we see an exciting future which embraces the challenges around energy transition technologies and renewables. In addition, we see huge scope in applying the lessons that we have learnt within this industry to other sectors, notably mining, banking, power, water and healthcare.

With this in mind, the company is on the cusp of a major expansion. Part of this involves the relocation of the headquarters from Edinburgh to Guildford in Surrey, to take advantage of the improved travel links, recruitment possibilities, and links to London.

An office has been purchased and is currently being refitted. We plan to be staffing this office from September 2024, with it becoming the company headquarters in September 2025.

PE Limited currently has 85 staff, split roughly between technical support, product development and contract and licensing administration. The technical staff are all highly qualified, with almost everyone having at least a Masters qualification and many holding PhDs.

About this Vacancy

PE Limited is recruiting a Data Engineer to join our AI team, supporting the implementation of artificial intelligence capabilities across our existing software suite.

• You will work alongside AI/ML Engineers and in collaboration with a third-party AI consultancy to build and maintain the data infrastructure needed for our AI initiatives.
• Activities will include: designing and implementing data pipelines, optimising data flow and storage systems, ensuring data quality and accessibility, and developing ETL processes to support ML model training and deployment.
• The company will support your personal development in advanced data engineering technologies and domain-specific applications within the energy sector.

Qualifications

• A good degree in Computer Science, Data Science, Engineering, or related field
• Strong programming experience in Python and SQL
• Experience with data pipeline development and ETL processes
• Knowledge of data warehousing and data lake architectures
• Comfortable operating in deadline-driven environment
• Must possess strong analytical and problem-solving skills
• Additional technical competency across a selection of the following disciplines may be beneficial:
• Experience with big data technologies (Spark, Hadoop)
• Cloud platforms (AWS, Azure, GCP)
• Stream processing systems
• Database technologies (SQL and NoSQL)
• Data versioning tools
• CI/CD tools: Git, Jenkins, Docker
• Knowledge of oil and gas domain or similar industrial applications

Package

Within a comprehensive package we also offer an annual performance bonus, an excellent pension to which the company will match up to 10% of all employee contributions, private health and dental insurance, and other benefits.