Your missionYou will be using data to drive strategic decisions and improve the experience of our customers and partners. Your work will enable the Heat Geek team to independently uncover insights, make strategic adjustments, monitor impacts in real-time, and help us to provide the best home upgrade experience to homeowners.As a business built on data, every interaction—from website visits to home upgrades—provides the opportunity to enhance the user experience. Your responsibilities include:Work closely with various teams to identify and address data analysis needsCollect, clean, and process data from diverse sources, utilising Python and SQL for comprehensive analysisConduct exploratory data, using machine learning and statistical techniques where appropriate to uncover insights that can guide our strategy and operationsDevelop and maintain dashboards, reports and web applications to deliver insight and enable teams to self-serve their data needsProductionise your data science insights as APIs to help integrate directly into our systemsEngage with generative AI technologies to identify innovative solutions and enhance our data analysis capabilitiesStay informed about the latest trends in data science and climate technology, continuously bringing innovative ideas to our teamBe continuously curious and thinking of ways to improve life for our customersTo support you in achieving these exciting goals, you’ll work closely under the mentorship of our Lead Data Scientist. We're committed to your professional development, offering a supportive environment where curiosity and eagerness to learn are highly valued.Your profileCore:Proficiency in Python; typical data science libraries (pandas, numpy etc.),Strong analytical skills, with the ability to communicate complex data insights effectively to people with non-technical backgroundsSome experience using Machine Learning, be it Linear Regression or more advanced techniquesAn eagerness to learn and grow within the climate tech and data science fieldsAbility to work collaboratively in a team environmentBeneficial:Bachelor’s degree in Data Science, Environmental Science, Computer Science - or similar - or relevant experienceKnowledge of building housing stock datasets or heating systemsPast experience using Cloud Infrastructure (GCP, AWS, Azure)SQLKnowledge of software development tools such as GitHub, DockerKnowledge of Python Frameworks FastAPI and StreamlitWhy us?A role with significant environmental impact and the opportunity to be part of a mission-driven startup from an early stageA supportive, innovative and inclusive workplaceCompetitive compensation, with a salary range from £30-45k (dependent on experience) plus equity options, gym membership contribution and private medical & dental coverOpportunities for professional development in a fast-growing industryHybrid working set upAbout usAt Heat Geek, we are aiming to empower people to revolutionise home energy at nation scale. This audacious goal will enable our contribution to drastically reduce the carbon emissions from the residential buildings sector, which accounts for nearly 20% of all UK emissions.Our work requires focus, tenacity, innovation and teamwork. It requires dedication and commitment and daily energy to pursue the mission. It also requires us to support each other, seek help when we need it and live all the values of our company, not just those related to our role’s contribution.As a result, we will build incredible products for our users, grow as individuals and change the zeitgeist around energy in our homes. We are a mission-driven organisation and everything we do aligns to this goal. It’s important to us that our team reflects a passion for this mission and a vision of a carbon free world where Climate Change has been stopped in it’s tracks.