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

Apply Now

Copy of Data Analyst - Early Careers

Camlin Energy
Lisburn
1 month ago
Applications closed

Related Jobs

View all jobs

Business Data Analyst

Data Analyst

Machine Learning Operations Engineer – 11328SR

Data Scientist/Developer

Statistics & Data Science Innovation Hub Principal Data Scientist

Data Scientist

Company DescriptionCamlin is a global technology leader that operates with the vision of bringing revolutionary products to life for a wide range of industries, including power and rail, and also has interests in a number of R&D projects in a variety of scientific sectors.

At Camlin we believe in high quality engineering and design, allowing us to develop market leading products and services. In short, we love creating value for our customers by solving difficult problems. As of today, the Camlin operation spans over 20 countries across the globe.

We are excited to launch our Global Early Careers Programme to Engineer Better Futures, designed to attract and develop the next generation of talent across our regions. Through a range of opportunities including internships, placements, apprenticeships, and summer programmes we aim to provide aspiring professionals with hands‑on experience, essential skills, and the chance to contribute to impactful projects that align with our organisational vision.

Data Analyst Placement 1 year fixed term

Location – Lisburn

Job Description

Camlin Group is seeking a talented and driven Data Analyst to join our dynamic team. As a Data Analyst, you will play a critical role in harnessing the power of data to support strategic decision‑making and drive operational excellence.

Key Responsibilities
  • Collect, organize, and analyze large datasets to identify trends, patterns, and actionable insights.
  • Develop and maintain dashboards and reports using tools such as Power BI, Tableau, or similar platforms.
  • Collaborate with cross‑functional teams to understand business requirements and translate them into analytical solutions.
  • Perform data cleansing and validation to ensure accuracy and reliability of insights.
  • Support the development of predictive models and advanced analytics to forecast trends and behaviors.
  • Present findings and recommendations to stakeholders in a clear, concise manner.
  • Ensure compliance with data protection regulations and maintain data confidentiality.
Essential Qualifications and Skills
  • Bachelors degree in a relevant field (e.g., Data Science, Statistics, Computer Science, or related discipline).
  • Proficiency in data analysis tools, such as Python, R, or SQL.
  • Strong knowledge of data visualization tools like Tableau, Power BI, or Excel.
  • Excellent analytical and problem‑solving skills.
  • Ability to communicate complex data insights to non‑technical stakeholders.
  • Strong attention to detail and a commitment to accuracy.
Desirable
  • Experience in machine learning and predictive analytics.
  • Familiarity with CRM systems (e.g., Salesforce).
  • Knowledge of energy or rail industries.
  • Understanding of GDPR and other data protection frameworks.
Our Values
  • We work together – We know that working collaboratively will help us reach our shared goals faster, so we always look for ways to help each other.
  • We believe in people – Here at Camlin, our people are central to what we do and what we can achieve. And as we move towards becoming industry and customer partners that’s even more important. We trust our team members to do their best and be supportive.
  • We wont accept the way its always been done – Since Camlins inception, weve been curious, inquisitive and always want to improve. Thinking differently is in our DNA and we love solving tough challenges.
  • We listen to learn – Whether its our customers, our markets, or each other, we ask questions and listen to the answers so we can learn and improve.
  • We’re trying to do the right thing – We take responsibility for our actions and take decisions based on whats right for people, profit, and planet.
Equal Employment Opportunity Statement

Individuals seeking employment at Camlin are considered without regards to race, colour, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, gender identity, or sexual orientation.


#J-18808-Ljbffr

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.