Data Scientist

LoweConex, Lisburn, Northern Ireland, United Kingdom. Direct message the job poster from LoweConex.

Role: Data Scientist at LoweConex

We’re all about empowering sustainable business. Using Conex OS, our centralised data platform, we enable retailers to observe, analyse and control building and property assets at scale from one platform. Our multi-award winning, closed-based solution works with brands such as Aldi, Stonegate Group, Co-op franchises and Poundland to drive significant cost savings through innovative energy management and automation software. Our technology helps keep assets running around the clock, reduces environmental impact, ensures compliance and maximises profitability for high street brands worldwide. If you’re passionate about sustainability software, building automation, retail and AI, this may be the perfect opportunity for you.

Role Overview

A data scientist working at the intersection of smart building technology, IoT, energy optimisation and predictive analytics. You will work with rich telemetry from connected building assets, energy data and environmental inputs to deliver intelligent, scalable and automated insights. The work will directly drive operational efficiencies, reduce energy consumption and improve system reliability for customers.

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• Perform statistical analysis and deep data interrogation across diverse datasets.
  
• Develop, test and deploy advanced analytics frameworks that uncover actionable insights.
  
• Design and implement end to end data science workflows.
  
• Translate R&D concepts and exploratory analysis into production-ready algorithms and reusable components.
  
• Build machine learning models and design experiments to optimise building performance and asset control strategies.
  
• Select, apply and evaluate appropriate data science techniques (e.g., regression, classification, clustering, anomaly detection) based on the use case requirements.
  
• Work closely with internal teams to translate business needs into data-led solutions.
  
• Present complex technical insights in a clear, concise manner to both technical and non-technical stakeholders.
  
• Collaborate with customer success and delivery teams to ensure that models, analytics and insights align with customer needs and expectations.
  
• Maintain strong internal relationships, contributing to a culture of curiosity, continuous improvement and innovation.
  
• Conduct exploratory research and develop prototypes or proof-of-concept solutions to test hypotheses or emerging techniques.
  
• Stay up to date with developments in Artificial Intelligence/Machine Learning.
  
• Contribute to internal best practices, processes and documentation to increase team effectiveness and reusability of work.
  
• Evaluate and select appropriate data mining models for specific projects.
  
• Communicate complex data insights clearly to technical and non-technical audiences.
  
• Stay informed about emerging technologies and methodologies.
  
• Maintain curiosity and inspire others about the value of data science.
  
• Build and maintain relationships.
  

Requirements

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• A passion for data interrogation with strong analytical thinking and drive to uncover actionable insight.
  
• Proficiency in Python or R, using libraries such as pandas, NumPy, scikit-learn, TensorFlow or equivalents.
  
• Skilled in SQL.
  
• Experience working as a data scientist, preferably on client-facing software solutions, within optimisation or energy-focused applications.
  
• Strong foundation in statistical techniques and machine learning, including regression, classification, clustering, time series analysis and pattern recognition.
  
• Degree in a quantitative discipline such as Applied Mathematics, Statistics, Computer Science, Engineering or Physics.
  
• Experience deploying machine learning models in a cloud environment.
  
• Experience using version control tools such as Git and working with cloud-based data platforms.
  
• Exposure to Agile methodologies and cross-functional team collaboration.
  
• Experience in energy, IoT, smart buildings or related domains.
  
• Curious, self-motivated, and able to work independently.
  
• Comfortable with ambiguity and proactive in identifying opportunities.
  
• A team player with strong communication skills and a desire to share knowledge.
  

Exceptional candidates who do not meet these criteria may be considered for the role provided they have the necessary skills and experience.

Lowe is an equal opportunity employer and committed to a diverse workforce. We are selective in our hiring and shortlisting for this vacancy will be completed on the basis of merit. Candidates should tailor their CVs to reflect essential criteria.

Mid-Senior level

Full-time

Information Technology

IT Services and IT Consulting

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