Data Scientist

Brightsmith
Reading
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Our client is a market leader in renewable energy, from the development, design and construction of large scale solar and BESS installations, to their operation and maintenance and market optimisation of BESS assets across the UK and Northern Europe. To date, the company has constructed over 120 grid-scale solar farms and 30 energy storage facilities, while its O&M service division has 1.6GW of assets under management.


Due to their phenomenal growth, they are seeking a Data Scientist, as part of their growing Optimisation team. This role will be responsible for developing the Optimisation back-end systems, undertake complex analytics, and helping deliver market-leading optimisation strategy for the companies utility scale battery storage projects.


Key Accountabilities & Responsibilities:

  • Maintain and develop MIROS software for optimisation of battery assets in GB
  • Carry out bespoke analysis on a variety of subjects involving energy market, as the internal and external requirements arises
  • Identify optimal strategies for battery storage assets to maintain the team’s market-leading position
  • Understand the regulatory and policy landscape surrounding the GB energy market in relation to batteries
  • Build and maintain revenue models for the companies growth markets


Skills & Competencies:

  • Knowledge of the GB electricity market, including relevant ancillary services for batteries
  • Software development capability (Python)
  • Modelling and data analytics skills
  • Financial modelling
  • Python, Excel, SQL, PowerBI, AWS, etc.
  • Strong communication skills


Personal Characteristics:

  • Ability to work effectively in a small team
  • Happy to help set the agenda and adaptable to change depending on the work requirements
  • Ability to communicate across a wide range of stakeholders, including Senior Management, employees, and customers. Able to explain complex analysis to various levels of expertise
  • Excellent interpersonal and negotiation skills
  • Works well in partnership with internal and external key stakeholders
  • A true team player - fosters teamwork and collaboration
  • Possesses drive, enthusiasm, and commitment


Qualifications & Experience:

  • Degree in a relevant subject or equivalent experience in industry

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

Jobs

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.