Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Junior Data Scientist

Montel
Darlington
3 days ago
Create job alert

Montel is expanding! We are looking for an analytically minded Junior Data Scientist to join our growing team in either Terneuzen or Teesside. You’ll be joining a friendly, ambitious, and international team that’s helping to shape the future of energy data in Europe. We’re big on curiosity, collaboration, and learning as we go. Whether you’re fine-tuning forecasting models or trying out new analytical approaches, you’ll have plenty of chances to grow your skills and learn from others who are just as passionate about energy and innovation as you are.


In this role, you will use your technical skills and problem-solving mindset to help clients turn complex energy market data into actionable insights across the European energy sector. This is a unique opportunity for candidates excited about the energy sector, passionate about data science, and eager to contribute to meaningful, data-driven insights. If you’ve got strong quantitative skills, a love for data science, and an interest in the energy world, we’d really love to hear from you.


Please note: We are unable to offer visa sponsorship for this role.


Job location

We’re looking for someone based in either the Netherlands who can work from our Terneuzen office or the UK who can work from our Stockton-on-Tees office. Once your induction is successfully completed, you’ll have the flexibility to be in the office at least two days a week. We get that everyone has their own way of working, so we offer a flexible, hybrid setup to help make that work for you.


Key responsibilities

  • Work closely with market experts and analysts to transform raw data into valuable intelligence.
  • Analyse European energy market data to identify trends, anomalies, and patterns.
  • Build, maintain, and optimize forecasting and analytical models using Python and modern data science tools.
  • Monitor and evaluate model performance to ensure reliability and accuracy.
  • Deploy models into production and collaborate with stakeholders to integrate insights into business decisions.

What we are looking for

  • Strong quantitative and analytical skills (e.g. in statistics, mathematics, physics, or computer science).
  • Proficiency in Python and familiarity with data analysis libraries (pandas, NumPy, scikit-learn, etc.).
  • Genuine interest in the energy sector and motivation to learn about market dynamics, with any relevant studies, experience or exposure seen as a plus but not essential.
  • Fluent in English (any extra languages are a bonus).

We offer

  • Salary: Competitive (negotiable depending on experience).
  • Hybrid and flexible working.
  • 25 days annual holiday.
  • Company pension.
  • Opportunities for career growth and plenty of training opportunities.
  • Opportunity for European travel.
  • Regular social activities and events.
  • Additional benefits are available depending on office location.

About Montel

Montel, an independent and rapidly growing provider of information to the energy sector, specializes in news, data, and analytics. We are a trusted information source, boasting a dedicated team of over 50 journalists who meticulously cover market developments, and more than 30 developers committed to delivering top-notch data to our clients.


At the forefront of the green transition, Montel plays a pivotal role by equipping companies with essential decision-making tools tailored for the dynamic energy markets. Our clientele encompasses a wide range of entities including large energy consumers, producers, regulators, traders, consultants, authorities, media, and more.


Since its establishment 30 years ago, Montel has cultivated a distinct, amiable business culture, steeped in the Norwegian ethos of “hyggelig-hyggelig”, a term that reflects our values of generosity and friendliness.


In 2022, Montel joined forces with Riverside, a renowned global private equity firm. Maintaining co-ownership with its employees and founders, Montel is on an ambitious path of growth.


Today, Montel proudly employs over 300 staff members across various European offices, offering abundant opportunities for professional development and collaboration with colleagues from different regions.


Our comprehensive product range includes Energy news, market price data, and various analytics products such as Montel Online, EnAppSys, PriceIT, Energy Quantified, and Energy Brainpool. For more information, please visit our website www.montel.energy


#J-18808-Ljbffr

Related Jobs

View all jobs

Junior Data Scientist - Fully remote (UK based only) – TimeSeries, NLP

Junior Data Scientist

Junior Data Scientist

Junior Data Scientist

Junior Data Scientist

Junior Data Scientist

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.