Senior Data Scientist

VanRath; Belfast; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A leading global technology organisation is seeking a Data Scientist to develop analytics solutions that power intelligent buildings and drive sustainability efforts. You will work with large datasets and collaborate across teams to deliver impactful insights. The ideal candidate will have a strong background in Python or R and experience in data science within energy or IoT contexts. This role offers a hybrid work model, competitive salary, and opportunities for progression.

Benefits

Competitive salary

Hybrid working model

Excellent long-term progression

Qualifications

• Strong background in Python or R.
• Skilled in SQL and statistical analysis.
• Proven experience in data science, ideally within energy or IoT applications.

Responsibilities

• Perform statistical and predictive analysis across diverse datasets.
• Design and implement scalable data science workflows.
• Build and deploy machine-learning models.

Skills

Python or R

SQL

Statistical analysis

Machine learning techniques

Education

Degree in a quantitative discipline

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

Git

Job description

Data Scientist - Sustainability Technology

Location: Hybrid (NI-based) 1 office day per week

Are you passionate about using data science to make a real-world impact?
This is a unique opportunity to join a forward-thinking global technology organisation working at the intersection of AI, IoT, energy optimisation, and smart building innovation.

You’ll help shape the future of sustainability software, developing intelligent systems that reduce energy waste, improve asset reliability, and drive smarter automation for major global brands.

The Role

As a Data Scientist, you’ll play a hands‑on role in designing and deploying advanced analytics solutions that power intelligent buildings and sustainable operations. Working with rich datasets from connected assets, energy systems, and environmental inputs, your work will deliver measurable efficiencies and insights that matter.

You will:

• Perform statistical and predictive analysis across diverse datasets.
• Design and implement scalable, end-to-end data science workflows.
• Build and deploy machine‑learning models that optimise energy and system performance.
• Develop production‑ready algorithms from R&D and exploratory analysis.
• Collaborate with cross‑functional teams to translate business needs into data‑led solutions.
• Present technical insights clearly to both technical and non‑technical stakeholders.
• Stay ahead of the curve by experimenting with emerging AI and ML techniques.

What You'll Bring

• Strong background in Python or R (e.g., Pandas, NumPy, Scikit‑learn, TensorFlow).
• Skilled in SQL and statistical analysis.
• Proven experience in data science, ideally within energy, optimisation, or IoT‑focused applications.
• Solid grasp of machine learning techniques such as regression, classification, clustering, and time series analysis.
• Degree in a quantitative discipline (Mathematics, Statistics, Computer Science, Engineering, Physics).

Desirable:

• MSc or PhD in a related field.
• Experience deploying ML models in a cloud environment.
• Familiarity with Git, cloud data platforms, or Agile environments.
• Knowledge of energy systems, smart buildings, or sustainability‑driven technology.
• A collaborative, curious mindset with a passion for innovation and impact.

Why Apply?

• Join a company driving real change in AI‑driven sustainability and automation.
• Hybrid working model with flexibility and autonomy.
• Competitive salary and excellent long‑term progression.
• Work with cutting‑edge technology that’s redefining how businesses manage energy and performance.

Interested?
Apply today or reach out in confidence to discuss how this opportunity could align with your career goals.