Senior Data Scientist (Energy sector) - Remote
(Data Scientist, Data Science, Data Engineer, Python, SQL, Data pipelines, Machine learning, Scikit-learn, XGBoost, TensorFlow, PyTorch, forecasting, predictive modelling, Cloud, Azure, Databricks, Spark, dbt, Energy, Utilities, Data Scientist, Data Science, Data Engineer)
Our client is a fast-growing, mission-driven global giant in the energy sector and they are playing a significant part in creating a cleaner, more sustainable future for all. They are looking for a Senior Data Scientist with a track record of building production-grade analytical products, to design, build and own complex data products that power our clients’ decision-making. You will be working with senior stakeholders to identify opportunities for new products and features, building complex forecasting features, designing data pipelines, developing machine learning models and monitoring model performance and data quality.
We are seeking an experienced Senior Data Scientist with knowledge of the Energy sector and experience of Python, SQL and machine learning frameworks and libraries, such as scikit-learn, XGBoost, TensorFlow or PyTorch, for forecasting and predictive modelling. You will also need an understanding of cloud platforms, particularly Azure and tools like Databricks, Spark, dbt or equivalent.
We are keen to hear from talented Senior Data Scientist candidates from all backgrounds, but particularly within the Energy sector.
This is a truly amazing opportunity to work for a prestigious brand that will do wonders for your career. They invest heavily in training and career development; top performers are guaranteed a career path into senior and lead positions within 12 months.
Location: Remote
Salary: £90k - £110k + Bonus + Excellent Benefits
To apply for this position please send your CV to Nathan Warner at Noir Consulting.
(Data Scientist, Data Science, Data Engineer, Python, SQL, Data pipelines, Machine learning, Scikit-learn, XGBoost, TensorFlow, PyTorch, forecasting, predictive modelling, Cloud, Azure, Databricks, Spark, dbt, Energy, Utilities, Data Scientist, Data Science, Data Engineer)
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Data Scientist (GIS) - Remote
(Data Scientist, Data Science, Data Analyst, Data Analysis, ETL, Sparse data, Spatial data processing, QGIS, Spatial data storage, PostGIS, Jupyter notebooks, Python, Azure Data Factory, Cosmos DB, PostgreSQL, Statistics, Data Analytics, C# .NET, Data Scientist, Data Science, Data Analyst, Data Analysis)
Our client is a prestigious technology company who focus in the Insurance market. They have been a market leader for many years and their worldwide client base has never been stronger, with significant growth in the last 12 months. They are looking for a Data Scientist with a strong GIS focus to be responsible for analysing large datasets to extract actionable insights, build predictive models and develop data-driven solutions to complex problems. You will play a major part in data visualization, statistical analysis and collaboration with cross-functional teams to implement data-driven decision making.
We are seeking a GIS focused Data Scientist with experience of tabular data statistics using Python and Jupyter notebooks and strong QGIS and PostGIS for spatial data processing and spatial data storage respectively. You will need an understanding of data licensing and its implications, full ETL pipeline experience and full data lifecycle management knowledge.
Essential skills include ETL, Jupyter notebooks, Python, QGIS, PostGIS, strong Data Visualization and presentation, expertise in Data Science and Data Analysis and proficiency in Statistics and Data Analytics. Knowledge of Azure Data Factory, Cosmos DB, PostgreSQL and C#.NET is highly desirable, as is any experience in the Insurance industry. Excellent problem-solving and analytical skills and strong written and verbal communication skills are expected.
We are keen to hear from talented Data Scientist candidates from all backgrounds.
This is a truly amazing opportunity to work for a prestigious brand that will do wonders for your career. They invest heavily in training and career development; top performers are guaranteed a career path into senior and lead positions within 12 months.
Location: London / Remote
Salary: £35k - £45k + Bonus + Pension + Excellent Benefits
To apply for this position please send your CV to Nathan Warner at Noir Consulting.
(Data Scientist, Data Science, Data Analyst, Data Analysis, ETL, Sparse data, Spatial data processing, QGIS, Spatial data storage, PostGIS, Jupyter notebooks, Python, Azure Data Factory, Cosmos DB, PostgreSQL, Statistics, Data Analytics, C# .NET, Data Scientist, Data Science, Data Analyst, Data Analysis)
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You will spend the first 24 months of the apprenticeship moving around different departments, and learning more about the specialisms of each team, to learn and carry out lab work
After 24 months, you’ll join a specific department where you’ll continue to grow and develop your skills
To support your education, you will be eligible to utilise 20% of your time towards your studies
This could be one day a week, or you can save them up to use for revision and exams
Training:
The Laboratory Scientist role is a 4 year programme, which will require balancing work with learning
The main learning will be completed once a week online, with a residential week once a year
Your day-to-day work and training will be supported by studying towards a BSc Chemical Science degree with Manchester Metropolitan University (more information can be found here - https://www.mmu.ac.uk/study/apprenticeships/courses/scientist-chemical-science)
Training Outcome:
You will finish the apprenticeship and join one of our lab teams, with opportunities to grow into different roles within our RSSL teams
Employer Description:As an organization we are committed to developing the next generation of Makers and Bakers. Joining us at an early career stage in our fast paced and ever changing environment will enable you to do more, learn more and grow more. You will be encouraged to step outside your comfort zone– you may even surprise yourself! We will ensure you are given the support you need to be at your best and enable you to be yourself and bring passion and personality. Here you can lean in and speak up and bring your own flavour.
At Reading Scientific Services Ltd (RSSL), we lead the way in scientific analysis, research, consultancy, and training. We provide services to the food, pharmaceutical, and consumer goods industries, as well as our parent company, Mondelez International. RSSL is dedicated to delivering world-class scientific solutions and outstanding customer service.
Recognised for our excellence, we were awarded CRO of the Year at the 2023 OBN Awards, and our apprentices have also received awards from the Royal Society of Chemistry and been shortlisted for Apprentice of the Year at the Thames Valley Awards. If you are passionate about driving innovation and making a real impact, RSSL is the place for you!
Our Laboratory Science Apprenticeship strikes the ideal balance between going to university and getting a job. You get to earn while you learn - backing up the classroom theory with practical training from industry experts. All in all, the perfect preparation for an incredible career with a fast-paced, diverse, and dynamic company.Working Hours :Monday - Friday, 9.00am - 5.00pmSkills: Communication skills,IT skills,Attention to detail,Organisation skills,Problem solving skills,Analytical skills,Logical,Team working....Read more...
Job Responsibilities:
Learning Through Practical Application
A core feature of this role is the direct application of academic learning within the workplace. Concepts introduced during the degree programme — including chemistry, biochemistry, physical chemistry, and analytical science — will be reinforced through day-to-day laboratory activities.
The apprentice will:
Apply theoretical knowledge to practical laboratory experiments.
Develop a strong understanding of how scientific data is generated, analysed, and used to inform decisions.
Gain experience working within a highly regulated environment where safety, quality, and ethics are paramount.
Learn how industrial laboratories operate, from experimental planning through to documentation and reporting.
Key Responsibilities:
Perform laboratory experiments safely, accurately, and in compliance with company procedures.
Apply scientific principles learned at university to real-world experimental work.
Maintain high standards of documentation, traceability, and data integrity.
Analyse, interpret, and present scientific data in written and verbal formats.
Work both independently and as part of a multidisciplinary team.
Proactively identify problems and contribute to continuous improvement initiatives.
Adhere to all safety, environmental, quality, and ethical standards
Develop an understanding of the business, regulatory, and quality context of pharmaceutical development.
By the end of the apprenticeship, the Laboratory Scientist Apprentice will be able to:
Apply scientific theory to laboratory experimentation and implement new processes based on literature or expert input.
Explain and demonstrate laboratory techniques to support technical and scientific projects.
Apply advanced scientific knowledge relevant to formulation development and biotechnology.
Work within project management frameworks and contribute effectively to team-based projects.
Understand and comply with regulatory, quality, and ethical requirements.
Analyse, interpret, and present scientific data clearly and confidently
Promote quality standards and continuous improvement.
Communicate effectively with both scientific and non-scientific audiences.
Manage time, prioritise tasks, and adapt to change.
Take ownership of personal development and demonstrate a commitment to lifelong learning.
Training:Online.Training Outcome:Upon successful completion of the apprenticeship, you will be eligible to apply for other positions within the business.Employer Description:As the specialists in skills for science and technology, our purpose is to make sure your business; your people and our industry are future ready. We are a not-for-profit charitable organisation with a family of commercially focused companies committed to supporting the skills, needs and ambitions across the UK science and technology sector.Working Hours :Monday to Thursday, 09:00 - 17:00, with a 45 minute unpaid lunch break.
Friday, 09:00 - 16:15, with a 45 minute unpaid lunch break.Skills: Communication skills,Attention to detail,Organisation skills,Problem solving skills,Presentation skills,Number skills,Analytical skills,Logical,Team working,Initiative....Read more...
Learning Through Practical Application
A core feature of this role is the direct application of academic learning within the workplace. Concepts introduced during the degree programme — including chemistry, biochemistry, microbiology and analytical science — will be reinforced through day-to-day laboratory activities.
The apprentice will:
Apply theoretical knowledge to practical laboratory experiments.
Develop a strong understanding of how scientific data is generated, analysed, and used to inform decisions.
Gain experience working within a highly regulated environment where safety, quality, and ethics are paramount.
Learn how industrial laboratories operate, from experimental planning through to documentation and reporting.
Job Responsibilities
Perform laboratory experiments safely, accurately, and in compliance with company procedures.
Apply scientific principles learned at university to real-world experimental work.
Maintain high standards of documentation, traceability, and data integrity.
Analyse, interpret, and present scientific data in written and verbal formats.
Work both independently and as part of a multidisciplinary team.
Proactively identify problems and contribute to continuous improvement initiatives.
Adhere to all safety, environmental, quality, and ethical standards
Develop an understanding of the business, regulatory, and quality context of pharmaceutical development.
Outcomes
By the end of the apprenticeship, the Laboratory Scientist Apprentice will be able to:
Apply scientific theory to laboratory experimentation and implement new processes based on literature or expert input.
Explain and demonstrate laboratory techniques to support technical and scientific projects.
Apply advanced scientific knowledge relevant to bioprocess development and biotechnology.
Work within project management frameworks and contribute effectively to team-based projects.
Understand and comply with regulatory, quality, and ethical requirements.
Analyse, interpret, and present scientific data clearly and confidently.
Promote quality standards and continuous improvement.
Communicate effectively with both scientific and non-scientific audiences.
Manage time, prioritise tasks, and adapt to change.
Take ownership of personal development and demonstrate a commitment to lifelong learning.
Training:Training for this apprenticeship will be delivered online.Training Outcome:Upon successful completion of the apprenticeship, you will be eligible to apply for other positions within the business.Employer Description:As the specialists in skills for science and technology, our purpose is to make sure your business; your people and our industry are future ready. We are a not-for-profit charitable organisation with a family of commercially focused companies committed to supporting the skills, needs and ambitions across the UK science and technology sector.Working Hours :Monday to Thursday, 09:00 - 17:00, with a 45 minute unpaid lunch break.
Friday, 09:00 - 16:15, with a 45 minute unpaid lunch break.Skills: Communication skills,Attention to detail,Problem solving skills,Presentation skills,Administrative skills,Number skills,Analytical skills,Logical,Team working,Initiative....Read more...
