At a Glance
- Tasks: Lead the charge in building and scaling our data sales business from scratch.
- Company: Join a cutting-edge renewable energy startup on a mission to revolutionise energy systems.
- Benefits: Enjoy a competitive salary, equity bonus, and fully expensed tech.
- Other info: Dynamic, fast-paced environment with great potential for personal and professional growth.
- Why this job: Seize a unique opportunity to shape the future of energy with innovative data solutions.
- Qualifications: Proven experience in commercialising data products and strong relationship-building skills.
The predicted salary is between 60000 - 80000 £ per year.
Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $170M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more. We’re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers. But we’re not stopping there. We’re also building the Energy Network: a decentralised platform of smart devices to electrify our homes, shifting usage to off-peak hours and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.
We're looking for a Data Sales Lead to build and scale our commercial data business from the ground up. You'll define the go-to-market strategy, establish relationships with hedge funds, asset managers and other institutional investors, and own the full sales lifecycle for our data products. This is a zero-to-one opportunity to build a new business from the ground up. Working across proprietary datasets spanning energy supply and robotics, you'll help define the product strategy, win our first institutional customers, and establish a scalable commercial engine for our data business.
Requirements
- Proven experience commercialising proprietary data, analytics or AI products for institutional investors or enterprise customers.
- Experience selling alternative data to hedge funds is highly desirable but not essential.
- Strong commercial instincts with a track record of building new markets, products or sales functions from scratch.
- Technical aptitude and the ability to understand, communicate and commercialise complex datasets across sectors such as energy, infrastructure, robotics or AI.
- Work closely with engineering, product and research teams to refine data products based on customer feedback and market demand.
- Define pricing, licensing and commercial models for subscription data products.
- Build and manage a pipeline of institutional clients, from prospecting through to long-term account management.
- Excellent communication and relationship-building skills, with the ability to engage both technical and commercial stakeholders.
- Comfortable operating independently in a fast-moving, high-growth environment.
Nice to have
- Experience selling data, analytics or market intelligence relating to energy, power markets, digital infrastructure, robotics, AI, industrial automation or data centres.
- Existing network across hedge funds, quantitative funds or the wider institutional investment community.
- Experience launching, validating or commercialising new data products in an early-stage or high-growth environment.
Benefits
- Competitive salary and an equity sign-on bonus
- Biannual bonus scheme
- Fully expensed tech to match your needs
- Paid annual leave
- Breakfast and dinner allowance for office based employees
Data Sales Lead employer: Fuse Energy
Fuse Energy is an exceptional employer for those passionate about renewable energy and innovation. With a dynamic work culture that fosters creativity and collaboration, employees are empowered to take ownership of their projects and contribute to meaningful change in the energy sector. The company offers competitive salaries, equity bonuses, and ample opportunities for professional growth, making it an ideal place for ambitious individuals looking to make a significant impact in a fast-paced startup environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Sales Lead
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Fuse Energy!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Sales Lead at Fuse Energy.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Fuse Energy.
✨Apply Directly through Our Website
When you find a suitable opening like Data Sales Lead at Fuse Energy, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Sales Lead
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Fuse Energy, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Fuse Energy. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Fuse Energy
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Fuse Energy!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
