Data Scientist

Brightsmith
Reading
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Imaging - Remote - Outside IR35

Data Scientist - Measurement Specialist

Data Scientist (Predictive Modelling) – NHS

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.

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.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.