Data Scientist

Aberdeen
1 week ago
Create job alert

A Data Scientist (they're flexible on level of experience) is required to join a well established organisation based in Aberdeen, as they enter a period of rapid growth. This will be a key role for their growth plans as they're already onboarding new clients (with even more coming!).

The company:

Based in Aberdeen, this forward thinking energy consultancy has been driving innovation in the offshore sector for over 35 years. With a strong global presence, they specialise in rig inspection, operational assurance, and digital training solutions that are helping shape the future of safe and sustainable energy operations. Their work spans traditional oil and gas through to emerging renewables, and they're known for blending deep technical expertise with cutting edge technology. Joining this team means becoming part of a mission to make the energy sector smarter, safer, and more efficient while working in a culture that values collaboration, continuous learning, and real world impact.

The role:

You'll be stepping into a hands on role, at an exciting time as they have several major projects already in motion, with a good pipeline of greenfield projects on the horizon too. Some of these include using data to predict and prevent critical failures in safety equipment on offshore rigs so your work directly improves safety and reliability in some of the world's most challenging environments.

You'll be joining a small collaborative team of two Data Scientists (one Lead and one Junior) so you'll have real ownership and end to end involvement across the entire data science lifecycle where you will learn from Senior Leadership. You'll be heavily involved in data preparation, exploratory data analysis, building predictive models, evaluating models, monitoring prototypes and implementing models into client's software. Don't worry if you haven't had direct experience with this as you will be provided with continuous training to get you up to speed. This is the perfect role if you love seeing your work make a tangible difference and want to expand your knowledge and skillset.

You'll ideally have the following:

** Good programming skills (ideally Python or R)

** Knowledge and experience with databases

** Strong communication skills

It's genuinely a great time to join this organisation, as they're already well established in their sector and are continuing to grow at a rapid pace. You'll be given the opportunity to work directly with some really cutting edge technologies and processes, working closely with a dedicated Lead Data Scientist.

This role is fully onsite in Aberdeen, so you'll ideally already live within a commutable distance. Their offices are based in central Aberdeen, with great transport links and parking available onsite.

In return they're able to offer a salary from £30k to £60k, depending on level of experience / seniority, with a benefits package to match. They also have a really streamlined interview process that would be ideally carried out in just one stage onsite.

If you're keen to find out more, please apply or drop Matthew MacAlpine at Cathcart Technology a message via Linkedin

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist (Knowledge Graph)

Data Scientist - Energy Systems Validation (Energy Sector Experience Required)

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.