Data Scientist

United Living Group; Leeds; On-site; GBP 50,000 - 75,000; Full time

Job summary

A leading software platform company in the UK is seeking a talented Data Scientist to join their growing data team. The ideal candidate will analyze complex data sets, build machine learning models, and collaborate across the organization to deliver actionable insights. A degree in Data Science or a related field is required, along with strong programming skills and experience with machine learning. The position offers a dynamic working environment focused on innovation and collaboration.

Qualifications

• Proven experience as a Data Scientist or similar role.
• Strong proficiency in Python, R, or SQL.
• Experience with TensorFlow or other frameworks.

Responsibilities

• Collect and analyze large datasets.
• Develop machine learning models.
• Collaborate with cross-functional teams.

Skills

Programming in Python

Statistical analysis

Data visualization

Machine learning

Cloud computing

Communication skills

Education

Bachelor's or Master's degree in Data Science

Tools

TensorFlow

SQL

Tableau

Job description

Company Description

Heatly is a class leading software platform that is pushing the boundaries of traditional building modelling and helping to streamline the decarbonisation of domestic and commercial building stock on the UK.

Our design team interact with all departments and are responsible for delivering class leading mechanical design methodologies that are then integrated into our online platform.

We have a diverse and creative software team who have successfully delivered award winning zero carbon solutions.

Job Description

Job Overview:

We are seeking a talented Data Scientist to join our growing data team. As a Data Scientist at Heatly, you will analyze complex data sets, build machine learning models, and collaborate with stakeholders across the organization to deliver actionable insights and solutions. You will work with a team of data engineers, analysts, and product managers to translate data into valuable business strategies.

Key Responsibilities:

• Collect, clean, and analyze large datasets from various sources to support business decisions.
• Develop and implement machine learning models and statistical techniques to solve business problems.
• Communicate findings through clear visualizations, reports, and presentations for stakeholders.
• Work with data engineers to ensure the smooth extraction, transformation, and loading (ETL) of data.
• Collaborate with cross-functional teams (e.g., product, marketing, and operations) to design and develop data-driven solutions.
• Optimize models and algorithms for efficiency and scalability.
• Stay current with the latest industry trends and technologies in data science and machine learning.
• Design and conduct A/B tests and other experimental methodologies to evaluate model performance.
• Ensure data quality, integrity, and security across the organization.

Required Qualifications:

• Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
• Proven experience (X+ years) as a Data Scientist, Data Analyst, or a similar role.
• Strong proficiency in programming languages such as Python, R, or SQL.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Knowledge of data visualization tools (e.g., Tableau, Power BI, or Matplotlib).
• Expertise in statistical analysis and hypothesis testing.
• Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure).
• Strong communication skills with the ability to explain complex data insights to non-technical stakeholders.
• Experience in working with big data tools (e.g., Hadoop, Spark) is a plus.

Preferred Skills:

• Experience in deep learning, NLP, or time-series forecasting.
• Familiarity with data engineering concepts such as data pipelines, database management, and cloud architecture.
• Knowledge of business intelligence tools and concepts.
• Understanding of software development practices such as version control (e.g., Git).