Remote Data Scientist Jobs

Spotlight

Advisor - Energy Transition and Systems Analysis

BP Energy

Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner.

About the role:

As an Advisor on the Energy Transition and Systems Analysis team, you will play a lead role helping us to model and analyse the global energy system, producing our flagship Energy Outlook alongside other analysis helping us to understand the economic and technological forces shaping the energy transition. You will also be responsible for supplying to the EEI’s wider accountabilities to lead analysis into the future of the global energy system and generate insights to inform and guide bp’s strategy and decision making.

What you will deliver:

Playing a core role in the production of our flagship Energy Outlook, liaising with the other teams in Economic and Energy Insights to produce scenarios for the global energy transition out to 2050;

Leading the development of our global energy model, including maintaining and refreshing the dataset for global energy system that is a key input to the model;Using the model, and other tools and analytical approaches, to analyse global energy system, for example producing sensitivity analyses or alternative scenarios to shed light on possible paths for the energy system

Presenting the key messages of the Outlook and our other work to colleagues within bp and to external collaborators.

Collaborating with other business functions to ensure modelling reflects latest business and technical insights as well as wider policy developments

What you will need to be successful:

5+ years experience in energy system modelling or analysis

Strong background in quantitative skills (statistics/regression modelling, mathematics, advanced computing, machine learning) and has preferably applied those skills to energy system modelling or analysis.

Desired: Knowledge of economic principles applied to energy systems analysis

Some coding / modelling experience – for example in R, Python, EViews, plus proficiency in Excel, Powerpoint etc

Excellent communication and presentation skills, with track record of successfully communicating complex ideas and issues to internal and external audiences.

Excellent interpersonal skills, and the ability and passion to interact positively and proactively with our key collaborators

Why join us?

At bp, we support our people to grow in a diverse and exciting environment. We believe that our team is strengthened by diversity.There are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, a generous paid parental leave policy, excellent retirement benefits, among others!We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Reinvent your career as you help our business meet the challenges of the future.

Apply now!

Travel Requirement

Negligible travel should be expected with this role

This role is not eligible for relocation

This position is a hybrid of office/remote working

Analysis and modelling, Communication, Computing, Data Analysis, Decision Making, Econometrics, Economic modelling, Economics, External Audiences, Financial Analysis, Interpersonal Communication, Interpersonal Relationships, Macroeconomics, Microsoft Outlook, Microsoft PowerPoint, Professional Presentation, Statistics, Strategy

Legal Disclaimer:

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us.

If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Lead Data Scientist - Remote

Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy.

They ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they re scaling globally and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges.

Role Overview

They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions.

Key Responsibilities

Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning)

Fine-tune, evaluate, and productionise multi-modal LLMs for business applications.

Drive experimentation and prototyping of advanced ML/AI techniques

Provide technical direction, mentoring, and hands-on guidance to the data science team.

Work with engineering, product, and business stakeholders to align ML strategy with business goals.

Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed models.

Requirements

6+ years in data science / ML, with at least 2 years in a technical lead role.

Deep experience in training and deploying computer vision models into production

Proven track record with LLM fine-tuning, prompt engineering and productionisation

Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines.

Strong coding skills in Python, with frameworks such as PyTorch, FastAPI and Azure CLI.

ALL APPLICANTS MUST BE FREE TO WORK IN THE UK

Exposed Solutions is acting as an employment agency to this client.

Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.

Lead R Engineer / Data Scientist - Integrated Pest Management (IPM)

Morris Sinclair Recruitment

+5

Remote Role Central London Office

This is a fully remote role but you MUST be UK based and not require a visa to work.

Lead R Data Science Engineer - Integrated Pest Management (IPM) Research & Solutions

The Organisation

Our client develops cutting-edge navigator software for the global agricultural sector, helping farmers transition toward more sustainable practices through science-backed analytics. Their software provides direct access to advanced sustainability models and insights.

Their Sustainability division consists of specialised Research Software Engineers who transform scientific findings into practical models for farmers and land managers, enabling them to understand their systems better and build more sustainable, profitable operations.

Position Overview

We’re seeking an experienced Data Engineer to join our client’s Sustainability team as a lead technical specialist in our R-focused Research Software Engineering group to specialise particularly in Integrated Pest Management. You’ll create and maintain the technical infrastructure that enables our sustainability experts and data scientists to develop innovative agricultural sustainability solutions to solve global issues in Integrated Pest Management (IPM).

Core Functions

Lead technical best practices across R package design, code architecture, documentation, and dependency management

Establish and oversee versioning and CI/CD systems to enhance team workflows

Guide team members in code architecture, development standards, and deployment processes

Serve as the technical authority for computationally demanding tasks, especially spatial analytics and GIS-based product development

Implement scientific research findings around Integrated Pest Management (IPM) into production-ready code

Collaborate with our Engineering department to align code design, versioning strategies, and release cycles

Essential Qualifications

Master’s degree and / or PhD or equivalent in informatics or life sciences (or bachelor’s degree with 5+ years relevant industry experience)

Deep knowledge of R programming and package development

Proven experience managing dependencies and ensuring reproducibility in R production environments

Strong background in version control systems and CI/CD implementation

History of successful collaboration with IT teams on data science workflows

Proficiency with Windows and/or Linux environments

Experience with GIS systems and spatial data analysis

Exceptional problem-solving abilities and adaptability

Leadership experience with strong communication skills

Structured approach to quantitative challenges

Comfort working in a dynamic startup environment

Qualifications

Microsoft Azure experience, particularly R integration

Application containerization knowledge (Docker, etc.)

Familiarity with Python, JavaScript, C++, bash, or other languages

Web application development experience (React, .NET)

Background in data security and IP protection workflows

Knowledge of environmental sustainability concepts (carbon footprinting, lifecycle analysis, environmental modeling)

Experience in agricultural or land management sectors with a background specifically in Integrated Pest Management (IPM)

If you are based in the UK and meet the criteria listed then apply now! The Morris Sinclair team will give you a call.

Data Analyst / BI Developer - Customer & Digital Analytics

This rapidly expanding UK financial services company require a Data Analyst / BI Developer to enhance their customer and digital analytics capabilities. You will be joining at a key growth point in the organisation and work with an existing team of Data Analysts to increase adoption of technology and analytics tools (Python / Power BI) to aid strategic decision making and increase ROI.

Client Details

This position is with a rapidly expanding organisation within the financial services sector. The company is committed to leveraging data to enhance its offerings and improve customer experience

Description

This rapidly expanding UK financial services company require a Data Analyst / BI Developer to enhance their customer and digital analytics capabilities. You will be joining at a key growth point in the organisation and work with an existing team of Data Analysts to increase adoption of technology and analytics tools (Python / Power BI) to aid strategic decision making and increase ROI. You will work with the CRM team and 3rd Party companies to enhance customer profiling and maximise marketing channels.

The role has a highly flexible hybrid / remote working environment - 1-2 days per quarter onsite in Nottingham (fully expensed)

Key Responsibilities:

Analyse and interpret data from multiple sources (Digital / 3rd Parties / Customer) to improve performance, budget efficiency, and ROI.

Track key customer KPIs and support acquisition and retention strategies through A/B testing and data insights.

Conduct statistical analysis to identify trends, patterns, and outliers that inform strategic decisions.

Present complex data in clear, actionable formats for various stakeholders.

Build and maintain dashboards and reports using Excel, Power BI, Tableau, or similar tools.

Manage relationships with external lead generation partners.

Collaborate with cross-functional teams to deliver data-driven solutions.

Profile

Degree in relevant subject (Data Science, Statistics, Economics or similar degree) (Essential)

3+ years’ experience in the Financial Services Industry (Essential)

Proficiency in Excel (Essential)

Proficiency in Python, SQL or other programming languages (Essential)

Ability to communicate technical insights to non-technical audiences effectively (Essential)

Detail-oriented and process-driven with a focus on continuous improvement (Essential)

Comfortable working in a fast-paced, evolving environment (Essential)

Statistical Methods Knowledge (Desirable)

Experience using Salesforce and data visualisation tools (Desirable)

Job Offer

Competitive salary range of 35,000 to 45,000 per annum.

Comprehensive pension scheme to support your future.

Generous holiday allowance to maintain a healthy work-life balance.

Opportunities for career growth in a rapidly expanding team

A highly flexible Hybrid working arrangement

If you are passionate about analytics and keen to make an impact, we encourage you to apply for this permanent role with a high growth organisation.

Data Scientist - Remote

Tenth Revolution Group

Data Scientist - 55,000- 70,000 - Remote

A fast-growing UK tech company is seeking a Data Scientist to join their dynamic team. This is a unique opportunity to be part of a business that’s scaling rapidly and making waves in the e-commerce space.

This company has recently been recognised as one of the UK’s fastest-growing tech firms. They want to be the best choice for every customer, everywhere. The team is collaborative, ambitious, and thrives in a fast-paced, ever-evolving environment. You’ll be part of a close-knit group driving real change.

As their Data Scientist, you’ll play a key role in identifying and quantifying potential risks through data-driven strategies and predictive modelling. You’ll work closely with cross-functional teams to build tools and insights that support effective risk mitigation and informed decision-making.

Key Responsibilities:

Develop statistical and machine learning models to simulate risk scenarios.

Analyse large datasets to uncover trends and emerging risks.

Translate insights into actionable risk mitigation strategies.

Build dashboards and visualisations for stakeholders.

Collaborate with data engineers to ensure clean, integrated data.

Continuously refine models to adapt to evolving risk landscapes.

Requirements:

Experience as a data scientist.

Strong Python and SQL skills.

Experience with machine learning frameworks and statistical analysis.

Knowledge of LLMs and AI modelling tools.

Excellent communication and problem-solving skills.

Comfortable working in a fast-paced, collaborative environment.

Benefits:

Salary up to 70,000 depending on experience

Flexible working culture

Company equity

Opportunity to make a real impact in a high-growth tech company

Technical Product Manager - Data, GCP, BigQuery, Cloud, Pyton, CI/CD, MLOps

Role Profile

Role Title: Technical Product Manager (Dynamic Allocation Services)

Reporting To: Head of Product

Location: Birmingham / Remote (with occasional travel to customer sites)

Summary

The Technical Product Manager (Dynamic Allocation Services) is responsible for driving the technical direction, development, and optimisation of our product. Combining product management with strong expertise in algorithms, data modelling, and optimisation, this role ensures that complex allocation logic is delivered as scalable, reliable, and commercially valuable product features.

Acting as the link between mathematical models, engineering teams, and business requirements, the Technical Product Manager actively seeks out opportunities to improve system performance, defines the KPIs to measure success, and designs the algorithms to achieve it. These are then translated into structured work packages for the engineering team to implement. Working alongside the Innovation Product Manager, this role provides complementary leadership, with a focus on technical depth, algorithmic design, and measurable performance improvement.

Key Responsibilities

Algorithm Design & Ownership

Act as the technical thought leader for DAS, applying advanced mathematics and optimisation techniques to solve complex real-world allocation problems.

Design new algorithms and refine existing models to ensure DAS delivers accurate, scalable, and commercially valuable outcomes.

Own the definition and documentation of allocation logic, ensuring clarity for engineering teams and long-term maintainability.

Continuous Improvement & KPI Measurement

Proactively identify opportunities for system enhancement, using operational data, simulations, and industry insight.

Define measurable KPIs to evaluate algorithm performance and the impact of incremental improvements.

Establish and maintain a structured cycle of experimentation, validation, and refinement.

Translation into Delivery

Break down complex algorithmic concepts into clear requirements, specifications, and work packages for the engineering teams.

Collaborate closely with developers to ensure algorithms are implemented correctly, tested thoroughly, and deployed with confidence.

Support version control, testing strategies, and validation processes to maintain the technical integrity of DAS.

Collaboration & Stakeholder Engagement

Work alongside the Innovation Product Manager to align technical development with functional roadmap and commercial objectives.

Communicate complex technical ideas to non-technical stakeholders clearly and pragmatically.

Provide expert guidance and thought leadership internally and externally, ensuring DAS remains at the forefront of decision-automation solutions.

Customer Engagement & Support

Act as the product s technical ambassador with customers, supporting onboarding and implementation.

Provide expert guidance on how DAS can address customer planning and analytical needs.

Collect and analyse customer feedback to inform technical priorities and product roadmap refinements.

Experience & Knowledge Required

Education & Background

Degree in Mathematics, Computer Science, Data Science, Engineering, or related field.

Proven experience in technical product management, data science, or algorithm-heavy environments.

Technical Expertise

Strong knowledge of optimisation, statistical modelling, and applied mathematics.

Familiarity with Python and ability to translate algorithmic design into technical specifications.

Experience designing or managing decision-support systems, simulations, or optimisation engines.

Familiarity with cloud environments (e.g. GCP, BigQuery) and modern deployment practices (CI/CD, MLOps).

Product & Delivery Skills

Ability to translate complex technical concepts into structured product requirements.

Experience in Agile product delivery, backlog management, and sprint planning.

Up to 10% discretionary bonus

Fully flexible benefits package including private medical insurance, life assurance, and discounted shopping & travel perks

Personal development plan with access to training, conferences, and real career progression

Contract Data Scientist - outside IR35, 100% remote

My client, a specialist engineering consultancy with a client base spanning a number of technical engineering sectors, requires an experienced Data Scientist for a contract role outside IR35. This role is 100% WFH.

The Data Scientist will utilise their expertise to analyse complex data sets and provide insights to give clients a competitive advantage. The Data Scientist will be responsible for designing and implementing data-driven solutions to address business problems and collaborate with cross-functional teams to deliver high-quality analytics solutions.

The Data Scientist will have experience in using a variety of techniques to analyse complex datasets and develop data models. You will be experienced in data visualisation, understanding how to contextualise results and communicate insights to both technical and non-technical audiences.

Computer vision experience is essential for this role.

Responsibilities

Work with cross-functional teams to identify business problems and translate them into data-driven solutions.

Develop algorithms and statistical models to analyse and interpret complex data sets.

Collaborate with software engineers to integrate models into the production environment.

Communicate insights and results to technical and non-technical stakeholders.

Ensure data quality and accuracy in all deliverables.

Continuously monitor and improve the performance of models and algorithms.

Stay up-to-date with emerging trends and technologies in the field of data science.

Requirements

Proven experience as a data scientist using Python and a range of libraries (Numpy, Pandas, Scikit-Learn, Matplotlib, Plotly etc.).

Strong expertise in statistical modelling, machine learning, and data mining techniques.

Experience in computer vision is essential.

Data engineering (pipelines, databases, infrastructure), ideally with AWS experience would be an advantage.

Experience with data analysis, data visualization, and data cleansing.

Experience in applying data science within the context of engineering, manufacturing, or industrial operations desirable.

Degree in Computer Science, Mathematics, Statistics, Data Science, or a related field.

Local Authority in Havering

25 Hours a week 10AM-3PM(Mon-Fri)

Duration

Initial 3 month contract

Location

FULLY REMOTE- Monthly meeting in person in havering however not mandatory in office

Description

The focus on this post is someone who can manipulate large quantities of data and build data review processes. Power BI is a must have. Basic financial acumen is a must but there is no need for a technical accountancy background or qualification although some experience in Finance would be beneficial as would experience of working in a Council. Must be excellent in Excel and PowerBI.

Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Adecco Group UK & Ireland is an Equal Opportunities Employer.

By applying for this role your details will be submitted to Adecco. Our Candidate Privacy Information Statement explaining how we will use your information is available on our website.

60000 - 70000 plus bonus

The Company

Opportunity to join a growing group of companies who provide the latest energy-efficient technologies in homes across the UK. The group is well established and work with utility partners, councils, landlord associations and private homeowners providing a Whole Home Approach to create warmer energy efficient homes, whilst reducing carbon emissions. With offices in Cardiff and Swansea this award-winning organisation is in a period of growth and looking for a Data Scientist to join the team.

The Role

We are looking for a highly experienced Data Scientist to work with the senior management team and reporting directly to the CEO, to identify areas for improvement and solve business problems. It is a fast-paced role working simultaneously on a variety of projects to achieve accurate and detailed results.

You will be based in the Swansea office and will be able to work hybrid remote some days on a flexible / occasional basis ensuring the needs of the business are met at all times.

Duties and responsibilities will include:

Mining data from a variety of company databases and systems

Preparation of data for analysis

Data analysis and interpretation, identifying patterns and potential insights

Statistical modelling and using machine learning techniques to identify trends and make forecasts

Evaluating model performance using different metrics and refining models to improve performance

Create visual representation of data to include graphs, dashboards and charts etc.

Presenting findings to senior management and stakeholders to help the business solve problems and improve operations

Working collaboratively with internal stakeholders to identity needs, communicate data driven recommendations and create actionable plans

Using data to identify future potential business problems

Keeping abreast and evaluation of new technologies and tools used for data analysis

Ensuring data is collected, stored and used ethically and responsibly

Requirements

The successful applicant will have the following qualifications, experience and qualities:

This is a senior position requiring extensive experience and proven results

Master’s degree in data science, applied data science or related field preferred

Experienced with database systems, SQL and full proficiency in Power BI

Mathematically minded with solid knowledge of statistical methods and probability

Experienced with various machine learning algorithms and frameworks

Analytical with a sound problem solving ability

Task orientated with a solid sense of urgency

Excellent communication skills with the ability to explain complex data results to internal stakeholders

Good presentation skills and able to create effective visual representation of findings

A team player

Previous project experience

In Return

This is a senior position in a large and growing organisation offering the successful applicant a high level of responsibility and opportunities. An excellent financial package is on offer for an applicant with proven experience and results.

For more information contact Kim Simpson of Work Wales for a confidential discussion

Data Analyst - Python, SQL

Access Computer Consulting

I am recruiting for a Data Analyst to work on a hybrid basis - 2/3 days in Glasgow, remaining time remote.

The role falls inside IR35 so you will need to work through an umbrella company for the duration of the contract.

Responsibilities will include collecting and analysing requirements, analysing data and building data pipelines.

Strong experience with Python is essential and also experience of working in Unix environments.

You must also have strong experience of SQL and relational databases.

You will have extensive data modelling experience and experience working with data analytics/visualisation software.

You will ideally have knowledge of the ServiceNow platform and experience with Agile/DevOps.

Experience of the finance sector would be a bonus.

Knowledge of data governance concepts is also preferred.

Please apply ASAP if this is of interest.

Data & Power Platform Developer

Tenth Revolution Group

A small and highly successful organisation in the sustainability space are seeking a Data Engineer with some Power Platform experience to join their team. They have an office space in London, though this role is remote and is therefore open to candidates across the UK.

They are on a mission to help businesses to reduce their carbon emissions, through the use of their intelligent sustainability platform - and your role will focus on the ongoing development and expansion of this, spanning both front-end and back-end development!

The platform is powered by Microsoft’s Cloud ecosystem - including Azure, Power Apps, Power Pages and Power BI, and allows for real-time engagement and AI-guided action plans for carbon reduction.

Responsibilities include:

Use Azure Data Factory to ingest, transform, and expose data across the platform

Help centralise data into a Data Lake, ensuring it’s clean, structured, and accessible

Build data pipelines for LLMs and integrate tools like GPT to drive intelligent outputs

Develop user-facing applications using Power Apps and Power Pages

Design and manage APIs to connect front-end applications and integrate external services (e.g. procurement systems, AI tools)

Collaborate directly with users to turn complex needs into streamlined solutions

It’s a broad role with lots to get involved in!

We’re not expecting you to have experience with everything mentioned above - the core skills are Azure Data Factory, and having a self-starter mentality with an enthusiasm to learn new things!

Benefits include:

Salary up to 70,000 depending on experience

25 days annual leave plus bank holidays, plus your birthday off

Pension with 3% employer and 5% employee contributions

Generous maternity and paternity policy

Allocated training budget for everyone

Regular company get-togethers with expenses paid

If you’re excited by the prospect of working for a mission-driven organisation who are already making a big impact, apply today!

Please Note: This is a role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Tenth Revolution Group / Nigel Frank are the go-to recruiter for Data and AI roles in the UK, offering more opportunities across the country than any other. We’re the proud sponsor and supporter of SQLBits, and the London Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at (url removed)

Remote Data Scientist Jobs

Overview

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