Origin is a clean tech company based in Newcastle upon Tyne, specializing in providing cutting-edge solutions and support for the Offshore, Nuclear, and Utilities sectors. With a track record of success and growth, Origin has secured significant contract wins over the past 12 months and is seeking a talented Data Scientist to join our team.

At Origin, you will have the opportunity to work with exciting and innovative products. One such project Origin Orbit® utilizes satellite remote sensing technologies, machine learning algorithms, and Origin’s expertise in integrity management to provide critical insights for onshore gas and water pipeline operators.

Another exciting product is Origin No Dig®, a multi award-winning patented technology which repairs leaks in water pipelines without excavation or needing to know exactly where the leak is. As a Data Scientist, you will be involved in analysing data to support the development and deployment of this innovative technology, providing insights and recommendations based on data-driven analysis.

Origin is also committed to sustainability and helping our clients reduce carbon emissions. As part of our efforts, we have implemented a scope to quantify the carbon emissions for the current processes we undertake. For this scope, data analysis is key to deriving equations custom-made to our processes in order to understand the potential savings in carbon emissions.

In addition to the products mentioned above, there is ample scope for the development of other R&D related products and involvement in day-to-day project and automation initiatives.

The role includes opportunities for career path progression and personal development as you contribute to our ongoing success and growth.

Execute all aspects of the data analysis process, collaborating with the project teams to understand project requirements to generate optimized outputs for use in engineering projects and processes.
Develop and implement automation techniques to streamline current processes and data analysis workflows, enhancing efficiency and productivity.
Apply predictive analytics, machine learning, statistical modelling, and algorithm design to extract insights and solve complex engineering problems.
Develop interactive and user-friendly applications and codes to facilitate data exploration and analysis, enhancing user experience and accessibility.
Produce technical notes, reports, and calculations for quality assurance purposes, maintaining accuracy and precision in documentation.
Utilize tools and techniques for data visualization to communicate findings effectively to project team and support decision-making processes.
Assist in R&D scopes, contributing data-driven insights and analyses to drive innovation and business growth.
Utilize project management skills to ensure timely delivery of projects within budget constraints and meeting client specifications.
At least 5 years of related data scientist experience is required, including AI/machine learning and the analysis of visual/graphical datasets.
Experience in industry sectors such as Utilities, Nuclear, Offshore or Defence is ideal, but experience in any other engineering industry would be considered.
A higher Bachelors or Masters Degree essential.
Proficiency in Python / C++ required. Knowledge of additional languages (e.g., Java, SQL) is advantageous.
High level of proficiency in Office365, particularly Microsoft Word and Excel, is essential.
Use of other engineering packages MATLAB would be advantageous.
Advanced interpersonal and communication skills are essential, with the ability to work effectively within a team environment.
Consistency and thoroughness in checking and preparing data, as well as in daily tasks, are crucial.
Ability to perform routine tasks, as well as engage in research and development to drive projects forward.
Strong analytical, visualisation and interpretive skills are necessary.
Familiarity with geospatial data is considered an advantage, but not essential.

Job Types: Full-time, Permanent

Pay: £45,000.00-£52,500.00 per year

Additional pay:

Yearly bonus

Benefits:

Casual dress
Company pension
Cycle to work scheme
Enhanced maternity leave
Private medical insurance
Work from home

Schedule:

8 hour shift
Day shift
Monday to Friday
Overtime

Work Location: In person

Expected start date: 01/05/2025

Origin

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