254 Forecasting Analyst jobs in the United Kingdom

Our client is driving innovation in the peer-to-peer energy market, building cleaner, smarter local communities and has seen continued success and is close to gaining Series B funding. They’re seeking an experienced Forecasting Specialist / Portfolio Optimisation Analyst to play a key role in forecasting, optimisation, and trading strategy execution.

Reporting to senior portfolio leaders, you’ll build and maintain forecasting capability across consumption and generation, supporting both short and long-term strategies. You’ll develop and systemise data pipelines, explore advanced forecasting techniques (e.g. XGBoost, random forests), and create reporting frameworks that benchmark quality and performance.

You’ll partner closely with internal teams across structuring, pricing, operations, and finance, helping shape portfolio risk management, trading decisions, and improved customer outcomes. The role also involves mentoring junior team members and driving best practices in forecasting processes.

What you’ll bring:

• Degree in numerate/science/engineering discipline
• At least 18m of UK energy supply experience
• Strong analytical skills, ideally with Python
• Proactive mindset, eager to develop and deliver impact

Process :

• TA Intro / Culture Interview
• 1 HR with Head of UK Portfolio Management + One Other
• 1 HR with Director of Portfolio Management + Head of Structuring and Pricing

Whats on Offer:

• Competitive Salary
• Annual Discretionary Bonus (Aligned to Personal & Company wide goals)
• 30 Days Holiday (+ bank holidays)
• L&D Budget
• Company Pension Scheme
• Eye Care, Cycle to Work and a variety of additional benefits.

+ most importantly the ability to make an impact, design and build entirely new things and take true accountability. We know that might not appeal to everyone but if you have a passion for analytics, and helping to better utilise clean energy and be part of a diverse high energy company then we'd love to chat.

We would like to ensure that for at least one of the 2 key stages that candidates can visit the office - we believe it's important to meet the team, see the surroundings and understand the culture that little bit better.

This is a fantastic opportunity to influence commercial outcomes in a fast-growing, future-focused energy market.

• Responsible for data analysis, entry and Validation related activities across the Pirbright manufacturing facility, to enable the large scale production of FMD and BTV antigen and finished product in a timely and cost effective manner.
• Analyse production data to identify trends, deviations, and performance metrics.
• Assist in the execution of cleaning validation protocols in line with GMP requirements.
• Bring in SQL / Power BI approaches to improve the site approach to data.
• Support sampling, documentation, and coordination of validation activities.

• GMP experience is essential
• Have a scientific or engineering discipline degree (e.g., Biochemistry, Biotechnology, Chemical Engineering, Pharmaceutical Sciences).
• Understanding of cleaning validation principles and documentation practices.
• Experience with data handling and analytics
• Knowledge of HSE, bio-safety standards, GMP regulations as well as main tools and principles of operational excellence

• Responsible for data analysis, entry and Validation related activities across the Pirbright manufacturing facility, to enable the large scale production of FMD and BTV antigen and finished product in a timely and cost effective manner.
• Analyse production data to identify trends, deviations, and performance metrics.
• Assist in the execution of cleaning validation protocols in line with GMP requirements.
• Bring in SQL / Power BI approaches to improve the site approach to data.
• Support sampling, documentation, and coordination of validation activities.

• GMP experience is essential
• Have a scientific or engineering discipline degree (e.g., Biochemistry, Biotechnology, Chemical Engineering, Pharmaceutical Sciences).
• Understanding of cleaning validation principles and documentation practices.
• Experience with data handling and analytics
• Knowledge of HSE, bio-safety standards, GMP regulations as well as main tools and principles of operational excellence

• Assist in collecting, cleaning, and processing large datasets.
• Perform data analysis to identify trends, patterns, and insights.
• Develop data visualisations and reports to communicate findings.
• Support senior analysts in various data-related projects.
• Learn and apply statistical methods and analytical techniques.
• Gain proficiency in data analysis tools and software (SQL, Python, R).
• Collaborate with team members in a remote setting.
• Contribute to documentation and knowledge sharing.
• Participate actively in training sessions and workshops.
• Help to ensure data accuracy and integrity.

• Recent graduate with a degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Economics, Engineering).
• Strong analytical and problem-solving abilities.
• Aptitude for working with numbers and data.
• Basic understanding of statistical concepts is beneficial.
• Familiarity with programming languages like Python or R is a plus.
• Excellent written and verbal communication skills.
• Ability to work independently and manage time effectively.
• Strong attention to detail.
• Enthusiasm for learning and developing data analysis skills.
• Access to a reliable internet connection for remote work.

• Leading forensic accounting investigations involving large and complex datasets.
• Developing and applying data analytics techniques to detect fraud, money laundering, and other financial irregularities.
• Utilizing forensic accounting software and data visualization tools (e.g., ACL, IDEA, Tableau) for analysis and reporting.
• Performing detailed financial analysis to quantify economic damages and support litigation.
• Extracting, transforming, and analyzing data from various sources, including accounting systems and databases.
• Preparing comprehensive forensic reports and executive summaries.
• Serving as an expert witness in legal proceedings, presenting findings clearly and effectively.
• Collaborating with legal counsel and clients to understand investigative objectives and requirements.
• Mentoring and guiding junior forensic accountants and analysts.
• Staying current with emerging trends in data analytics, cybersecurity, and forensic accounting.

• Lead the design, development, implementation, and maintenance of scalable bioinformatics pipelines for next-generation sequencing (NGS) data analysis (e.g., WGS, WES, RNA-Seq).
• Analyse and interpret complex genomic and transcriptomic datasets to identify genetic variants, gene expression patterns, and other biologically relevant insights.
• Collaborate closely with biologists, geneticists, clinicians, and computational scientists to define project goals and analytical strategies.
• Develop and apply statistical and machine learning methods for genomic data analysis.
• Ensure the quality, reproducibility, and documentation of all bioinformatics analyses and workflows.
• Stay abreast of the latest advancements in bioinformatics, genomics, and related computational fields.
• Mentor and guide junior bioinformaticians and data analysts.
• Contribute to research proposals, grant applications, and publications.
• Manage data storage, processing, and computational resources effectively.
• Present findings to scientific teams and external collaborators.

• PhD in Bioinformatics, Computational Biology, Genetics, Computer Science, or a related quantitative field.
• Minimum of 6 years of post-doctoral or industry experience in bioinformatics, with a strong focus on genomics data analysis.
• Extensive experience with NGS data processing and analysis pipelines (e.g., BWA, GATK, STAR, Salmon).
• Proficiency in programming languages such as Python, R, and shell scripting.
• Strong knowledge of statistical methods and machine learning techniques applicable to genomics.
• Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and containerization (e.g., Docker, Singularity) is highly desirable.
• Proven ability to manage complex projects and lead a small team.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and presentation skills, with a track record of publications.
• Ability to work independently and collaboratively in a remote research environment.

At Tata Technologies we make product development dreams a reality by designing, engineering and validating the products of tomorrow for the worlds leading manufacturers. Due to our continued growth we are now recruiting for a Data Analysis Engineer SOX Algorithm to be based at our customers site in Gaydon .

Our Embedded Systems Solutions department (ESS) encompasses all activities outlined under th.

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