data science analyst

Boots

<div><div>276427BR
</div><div><h1 class="jobSectionHeader">Clinical CRM Analyst &ndash; Data Science &amp; Analytics</h1>
</div><div>Nottingham, Nottingham Support Office
</div><div>Permanent
</div><div>Full-time
</div><div>Job Description
Job Title: Clinical CRM Analyst &ndash; Data Science &amp; Analytics
Contract: Permanent
Shift Pattern: Full Time
Location: Nottingham
Recruitment Partner: Matthew Nelligan<h3 class="jobSectionHeader"> 
Join Our Team as a Clinical CRM Analyst &ndash; Data Science &amp; Analytics at Boots!</h3>
Are you passionate about data and its power to drive customer insights? Do you thrive in a collaborative environment where your contributions truly matter? If so, we have an exciting opportunity for you at Boots in Nottingham!<h4 class="jobSectionHeader">
About the Role</h4>
As a Clinical CRM Analyst, you will be at the forefront of our Data Science and Analytics team, utilising patient data and Boots Advantage Card insights to create actionable marketing strategies. Your analytical skills will help shape our personalised marketing communications, ensuring we deliver the right message to the right audience. 
You will:<ul><li>
Analyse data from multiple sources to identify target audiences for marketing campaigns.</li><li>
Collaborate with stakeholders to explain the drivers behind campaign selections and performance.</li><li>
Present your findings in a clear and engaging manner, helping to shape future strategies that enhance our customer experience.</li></ul><h4 class="jobSectionHeader">
What We&rsquo;re Looking For</h4>
We seek a numerate and logical thinker with a passion for personalisation and insight. You should have:<ul><li>
Relevant experience or a degree with quantitative elements (e.g., Maths, Physics, Psychology).</li><li>
Strong problem-solving skills and the ability to communicate complex data stories effectively.</li><li>
A collaborative spirit and a keen eye for detail.</li></ul>
If you have experience with coding languages like SQL, R, or Python, or familiarity with data visualisation tools such as PowerBI, that would be a bonus!<h4 class="jobSectionHeader">
Why Boots?</h4>
At Boots, we believe in building a brilliant workplace for our people. Our Employer Value Proposition is centred around collaboration, trust, and growth. Here&rsquo;s what you can expect:<ul><li>
We're more together: Join a team that supports and achieves more collectively.</li><li>
We believe in you: Your work has meaning, and you&rsquo;ll be trusted to make a difference.</li><li>
We make progress: Learn something new every day and use your voice to drive change.</li><li>
We're with you: Enjoy the backing of supportive managers and tools to help you thrive.</li><li>
We belong here: Champion inclusion and create a welcoming culture for everyone.</li></ul><h4 class="jobSectionHeader">
Benefits</h4>
We offer a range of benefits to support you:<ul><li>
Boots Retirement Savings Plan (up to 12% company contribution)</li><li>
Generous employee discounts for you and a family member</li><li>
Enhanced maternity/paternity/adoption leave pay</li></ul><h4 class="jobSectionHeader">
What&rsquo;s Next?</h4>
If you&rsquo;re ready to make a difference with us, apply today! Our team will be in touch to discuss the next steps. We&rsquo;re open to discussing part-time and job share options, and we&rsquo;re happy to provide reasonable adjustments during the application process. 
Join us at Boots and be brilliant! We can&rsquo;t wait to hear from you. 
#Boots #DataScience #Analytics #CareerOpportunity #JoinUs
</div><div>Closing date
13-Jul-2026
</div><div>Business Area
Support Office
</div><div>Function
Digital
</div><div>Shift pattern
Full time - weekdays
</div><div>Keywords
<ul><li>Proficiency in a coding language such as SQL, R, Python etc.</li><li>Experience with data visualisation tools such as PowerBI.</li><li>Experience of targeting, optimisation or measurement of Marketing activity, using Unica, Adobe campaign or similar.</li><li>Expertise in working with large structured and unstructured data sets.</li></ul>
</div><div>Hours per week
37.5
</div><div>Latitude,longitude 1
52.927182,-1.183948
</div><div>Shift Pattern to display to candidates (displayed externally). Please select one:
Weekdays
</div><div>Is this a Global Brands req?
No
</div><div>Airport
No
</div><div>Should this appear on the No7 Beauty Company website?
No
</div><div>Company
Non Stores
</div><div>Division
Non Stores
</div><div>Should this vacancy be excluded from being posted onto the Boots.jobs career site?
No
</div><div>Region
East Midlands
</div><div>Area
East Midlands (non stores)
</div><div>Store
Nottingham Support Office
</div><div>Req Posted Date
25-Jun-2026
</div><div>County
Nottinghamshire
</div><div>Country
UK
</div><div>Address 1
Recruitment Service Centre (D94)
</div><div>Address 2
Thane Road
</div><div>Address 3
Nottingham
</div><div>Post Code
NG90 1BS
</div><div>Source
Boots</div></div>

Clinical CRM Analyst – Data Science & Analytics

Mitie

<div><h1 class="jobSectionHeader">Join Mitie &ndash; the future of high performing places.</h1>

ROLE: Senior Analyst (12‑Month Fixed Term Contract) 
LOCATION: Hybrid (UK &ndash; Office presence as required) 
CONTRACT: Full Time (12‑Month FTC)

At Mitie, our people are our greatest strength, and our purpose is driven by a belief that better places lead to thriving communities. We're looking for a Senior Analyst who combines strong data engineering fundamentals with a passion for solving business problems through data, delivering high‑quality insight and driving performance.

This role sits across analytics, data modelling, and emerging data science, working with large datasets to produce meaningful, actionable outcomes.

<h2 class="jobSectionHeader">Role Responsibilities</h2>
<ul><li>Lead delivery of advanced analytics, identifying trends, anomalies, root causes, and performance drivers.</li>
<li>Transform complex datasets into clear, actionable insights and business narratives for stakeholders.</li>
<li>Build and maintain semantic data models, ensuring data is structured for intuitive reporting and deep analysis.</li>
<li>Develop and optimise SQL and Python (Pandas) pipelines to prepare and curate Gold‑standard datasets.</li>
<li>Design, manage, and monitor data pipelines, ensuring reliability and scalability.</li>
<li>Work across Silver, Gold, and Semantic layers within a Medallion Architecture.</li>
<li>Troubleshoot upstream data issues and ensure outputs are built on reliable data foundations.</li>
<li>Collaborate with stakeholders to gather requirements, challenge assumptions, and deliver value‑driven solutions.</li>
<li>Communicate analytical outputs clearly to both technical and non‑technical audiences.</li>
<li>Work closely with Engineers and Analysts to ensure consistent, high‑quality data outputs across the lifecycle.</li>
</ul><h2 class="jobSectionHeader">Required Qualifications</h2>

Applicants must meet the below defined requirements for the role.
<ul>
<li>Strong experience with SQL and Python (Pandas) for end‑to‑end data manipulation.</li>
<li>Experience working within the Azure data stack (Microsoft Fabric preferred).</li>
<li>Strong knowledge of Power BI or similar visualisation tools.</li>
<li>Experience working with Medallion Architecture (Silver, Gold, Semantic layers).</li>
<li>Understanding of ETL/ELT processes and orchestration tools (e.g. Azure Data Factory).</li>
<li>Strong analytical mindset with the ability to translate data into business insights.</li>
<li>Experience working with large datasets and delivering scalable analytical solutions.</li>
</ul><h2 class="jobSectionHeader">Desirable</h2>
<ul><li>Experience with PySpark/Spark for high‑volume data processing.</li>
<li>Knowledge of statistical techniques (e.g. hypothesis testing, correlation, distribution analysis).</li>
<li>Exposure to data science concepts such as regression and classification models.</li>
<li>Experience working within data engineering and analytics hybrid roles.</li>
</ul><h2 class="jobSectionHeader">Key Skills &amp; Attributes</h2>
<ul><li>Strong problem‑solving and investigative mindset.</li>
<li>Ability to translate ambiguous business questions into structured analysis.</li>
<li>Excellent communication skills, with the ability to present complex insights clearly.</li>
<li>Proactive, self‑motivated, and comfortable working in a hybrid, fast‑paced environment.</li>
<li>Collaborative approach with strong stakeholder engagement skills.</li>
</ul><h2 class="jobSectionHeader">What's in it for you?</h2>
<ul><li>Opportunity to work in a data‑driven, insight‑led environment with exposure to advanced analytics and data science.</li>
<li>Access to Mitie's Choices platform, including lifestyle benefits, wellbeing support, and retail discounts.</li>
<li>Virtual GP access for you and your household.</li>
<li>Financial wellbeing support through Salary Finance.</li>
<li>MiDeals discounts, cycle‑to‑work scheme, and retail offers.</li>
<li>Life cover up to 4&times; salary, enhanced pension contributions, and save‑as‑you‑earn scheme.</li>
<li>Opportunity to earn free shares through the Mitie Matching Share Plan.</li>
<li>Recognition through the Mitie Stars programme with monthly and annual rewards.</li>
<li>Continuous development and career progression opportunities.</li>
</ul>
There's a place for you at Mitie &mdash; join us today!</div>

Senior Analyst - 12 month fixed term contract

RELX

<div>
 
 About ICIS
 
 
 
 ICIS is part of Lexis Nexis Risk a FTSE 20 company with revenues of $12.9 billion in 2025 and an employee base of over 30,000 people across 40 countries. ICIS makes some of the world&rsquo;s most important markets more trusted and predictable by providing data services, thought leadership and decision tools. We exist to help businesses in the energy, petrochemical and fertilizer industries make strategic decisions, mitigate risk, improve productivity, and capitalise on new opportunities. Thousands of decisions are taken across supply chains every day using our intelligence and we make this possible through a global presence that delivers the targeted, local insights customers need to achieve growth in this new world of meaningful data. Shaping the world by connecting markets to optimise the world&rsquo;s valuable resources. With a global team of more than 700, ICIS has employees based in London, New York, Houston, Karlsruhe, Frankfurt, Milan, Mumbai, Singapore, Guangzhou, Beijing, Shanghai, Dubai, Sao Paulo, Seoul, Tokyo and Perth.
 
 
 
 Job Purpose
 
 
 
 Are you an experienced Quant Analyst / Data Scientist in energy markets? As Quantitative Analyst at ICIS, you will drive data-based innovation and complement our technical capability to operationally deploy and maintain Data Science models and model interfaces in some of the largest industries in the world - energy and chemicals with global supply networks. You will join our existing team of experienced Data Scientists and work closely alongside ICIS market experts around the globe. Our models enable the analysis of prices and market fundamentals to support decision making in trading and operations. You will be part of an international team, which requires occasional travel globally. As of day one, you will take responsibility in demanding analytics innovation projects - your primary focus will be to design, improve and maintain models and Python (dash) applications for augmented energy pricing processes across a wide range of markets.
 
 
 
 Key Accountabilities/Responsibilities
 
 
 
 <ul>
 <li>
 Maintain and enhance applications in Python (Dash) to put the &ldquo;human in the loop&rdquo; with Data Science models
 </li>
 <li>
 Drive and support R&amp;D and operation of data-driven analytical market models: Together with our analysts and market experts, you will co-develop strong quantitative market models to predict key market variables drawing from a wide variety of techniques; guide and support others in the development of models, implement new models as well as model enhancements, such as driving cloud-based model and process automation
 </li>
 <li>
 Engage with internal market experts to explain our models and insights and to discuss the market structure and key drivers - translating domain knowledge back into our models and building a deep understanding of operations and decision making in our markets
 </li>
 <li>
 Drive maintenance and improvements of the code base and code structure for operational models and backend data architectures
 </li>
 <li>
 Develop, test, and roll out new application functionality and change requests following product owner prioritization
 </li>
 <li>
 Manage operational models &amp; applications (monitoring, refactoring, update of live services)
 </li>
 <li>
 Review and debug code and ensure good code documentation
 </li>
 <li>
 Enable efficient communication across teams through fast prototyping and demos of potential solutions
 </li>
 <li>
 Expand your knowledge, by learning new techniques and applying them to existing and new analytical problems in our markets. Actively share knowledge and innovation areas with your peers
 
 
 </li>
 </ul>
 
 Key Skills/Experience Required
 
 
 
 <ul>
 <li>
 Minimum of 3 to 5 years of practical experience as a software engineer, preferably in the context of markets and market prices
 </li>
 <li>
 Excellent Python skills and experience with Python packages for applications (such as Dash)
 </li>
 <li>
 Professional use of version control tools in projects involving several developers
 </li>
 <li>
 Experience with designing and managing containerized applications and familiarity with cloud platforms (e.g. AWS)
 </li>
 <li>
 Data handling and data modeling knowledge and experience using relational databases (e.g. PostgreSQL)
 </li>
 <li>
 Holistic perspective on business value from analytics and a strong ability to explain complex topics to diverse stakeholders at the appropriate level, strong communication and engagement
 </li>
 <li>
 Preferably previous exposure to Data Analytics or Data Science and an interest in working on analytics and forecasting projects heavily reliant on human / machine collaboration
 
 
 </li>
 </ul>
 
 We Offer
 
 
 
 <ul>
 <li>
 A highly stable job environment part of a company with 30,000 employees
 </li>
 <li>
 A vibrant working environment in a dynamic, inclusive, ambitious and committed team which drives Data Science forward and keeps a start-up like atmosphere
 </li>
 <li>
 Flexibility, loyalty, empowerment, and trust as part of our corporate culture
 </li>
 <li>
 Benefits, e.g. fitness studio, 20 days work from anywhere and 2 days additional leave for social engagement
 
 
 </li>
 </ul>
 We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. At ICIS, we are committed to Diversity and Inclusion, we have a leadership team who are 50% women and more than a third of our technology team are  female.
 
 
 Primary Location Base Pay Range: Germany - Karlsruhe &euro;59,300 - &euro;98,600.
 
 
 
 We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
 
</div>

Senior Data Scientist (Commodity Markets) m/f/d

LexisNexis Risk Solutions

<div>About ICIS
ICIS is part of Lexis Nexis Risk a division of RELX Group, a FTSE 20 company with revenues of $12.9 billion in 2025 and an employee base of over 30,000 people across 40 countries. ICIS makes some of the world&rsquo;s most important markets more trusted and predictable by providing data services, thought leadership and decision tools. We exist to help businesses in the energy, petrochemical and fertilizer industries make strategic decisions, mitigate risk, improve productivity, and capitalise on new opportunities. Thousands of decisions are taken across supply chains every day using our intelligence and we make this possible through a global presence that delivers the targeted, local insights customers need to achieve growth in this new world of meaningful data. Shaping the world by connecting markets to optimise the world&rsquo;s valuable resources. With a global team of more than 700, ICIS has employees based in London, New York, Houston, Karlsruhe, Frankfurt, Milan, Mumbai, Singapore, Guangzhou, Beijing, Shanghai, Dubai, Sao Paulo, Seoul, Tokyo and Perth. 
Job Purpose:
Are you an experienced Quant Analyst / Data Scientist in energy markets? As Quantitative Analyst at ICIS, you will drive data-based innovation and complement our technical capability to operationally deploy and maintain Data Science models and model interfaces in some of the largest industries in the world - energy and chemicals with global supply networks. You will join our existing team of experienced Data Scientists and work closely alongside ICIS market experts around the globe. Our models enable the analysis of prices and market fundamentals to support decision making in trading and operations. You will be part of an international team, which requires occasional travel globally. As of day one, you will take responsibility in demanding analytics innovation projects - your primary focus will be to design, improve and maintain models and Python (dash) applications for augmented energy pricing processes across a wide range of markets. 
Key Accountabilities/Responsibilities: 
<ul><li>Maintain and enhance applications in Python (Dash) to put the &ldquo;human in the loop&rdquo; with Data Science models
</li></ul><ul><li>Drive and support R&amp;D and operation of data-driven analytical market models: Together with our analysts and market experts, you will co-develop strong quantitative market models to predict key market variables drawing from a wide variety of techniques; guide and support others in the development of models, implement new models as well as model enhancements, such as driving cloud-based model and process automation
</li></ul><ul><li>Engage with internal market experts to explain our models and insights and to discuss the market structure and key drivers - translating domain knowledge back into our models and building a deep understanding of operations and decision making in our markets
</li></ul><ul><li>Drive maintenance and improvements of the code base and code structure for operational models and backend data architectures
</li></ul><ul><li>Develop, test, and roll out new application functionality and change requests following product owner prioritization
</li></ul><ul><li>Manage operational models &amp; applications (monitoring, refactoring, update of live services)
</li></ul><ul><li>Review and debug code and ensure good code documentation
</li></ul><ul><li>Enable efficient communication across teams through fast prototyping and demos of potential solutions
</li></ul><ul><li>Expand your knowledge, by learning new techniques and applying them to existing and new analytical problems in our markets. Actively share knowledge and innovation areas with your peers 
</li></ul> 
Key Skills/Experience Required: 
<ul><li>Minimum of 3 to 5 years of practical experience as a software engineer, preferably in the context of markets and market prices
</li></ul><ul><li>Excellent Python skills and experience with Python packages for applications (such as Dash)
</li></ul><ul><li>Professional use of version control tools in projects involving several developers
</li></ul><ul><li>Experience with designing and managing containerized applications and familiarity with cloud platforms (e.g. AWS)
</li></ul><ul><li>Data handling and data modeling knowledge and experience using relational databases (e.g. PostgreSQL)
</li></ul><ul><li>Holistic perspective on business value from analytics and a strong ability to explain complex topics to diverse stakeholders at the appropriate level, strong communication and engagement
</li></ul><ul><li>Preferably previous exposure to Data Analytics or Data Science and an interest in working on analytics and forecasting projects heavily reliant on human / machine collaboration 
</li></ul>We offer: 
<ul><li>A highly stable job environment part of a company with 30,000 employees
</li></ul><ul><li>A vibrant working environment in a dynamic, inclusive, ambitious and committed team which drives Data Science forward and keeps a start-up like atmosphere
</li></ul><ul><li>Flexibility, loyalty, empowerment, and trust as part of our corporate culture
</li></ul><ul><li>Benefits, e.g. fitness studio, 20 days work from anywhere and 2 days additional leave for social engagement 
</li></ul>We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. At ICIS, we are committed to Diversity and Inclusion, we have a leadership team who are 50% women and more than a third of our technology team are female.
Primary Location Base Pay Range: Germany - Karlsruhe &euro;59,300 - &euro;98,600.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .</div>

CareADHD

<div>Salary: &pound;65,000 - &pound;75,000
Location: Hybrid with working from our Canary Wharf office 1-2 days a week
Reports to: Head of Data Science
✨Join Us at The Centre for ADHD Research and Excellence: Shaping the Future of Accessible Healthcare✨
At Care ADHD, our mission is to transform ADHD care through innovation, data, and technology &mdash; delivering accessible, patient-centred services that improve outcomes for individuals, clinicians, and healthcare providers.
We believe that high-quality data and meaningful insight are essential to improving clinical services, understanding patient journeys, and ensuring that care is delivered efficiently and effectively.
The Role
We are seeking an experienced and commercially minded Data Scientist to help shape and evolve Care ADHD&rsquo;s analytics and data science capabilities.
Reporting to the Head of Data, this role will play a key part in helping the organisation better understand patient journeys, operational performance, and clinical service effectiveness through advanced analytics, machine learning, and data-driven insight.
You will work across healthcare, operational, and product datasets to identify trends, develop predictive models, and generate actionable insights that support service improvement and positive patient outcomes.
This role combines hands-on data science, analytics, stakeholder collaboration, and innovation &mdash; with the opportunity to contribute to the future use of AI and advanced analytics within a rapidly growing digital healthcare organisation focused on ADHD care and neurodiversity support.
What You&rsquo;ll Be Doing:<h2 class="jobSectionHeader">
Key Responsibilities</h2>
Data Science &amp; Advanced Analytics<ul>
<li>
Develop analytical and predictive models using healthcare and operational data</li>
<li>Apply statistical analysis, machine learning, and AI techniques to identify trends, patterns, and opportunities for improvement</li>
<li>Build models and analytical solutions to support:</li>
<li>Service demand forecasting</li>
<li>Patient engagement analysis</li>
<li>Appointment attendance prediction</li>
<li>Capacity and scheduling optimisation</li>
<li>Patient pathway analysis</li>
<li>Analyse patient journeys across the ADHD care pathway, including:</li>
<li>Referral volumes</li>
<li>Waiting times</li>
<li>Assessment and treatment progression</li>
<li>Patient engagement and retention</li>
<li>Support experimentation, hypothesis testing, and exploratory data analysis to improve service delivery and operational outcomes</li>
</ul>
Healthcare Data Analysis &amp; Insight<ul>
<li>
Work with data from multiple systems including:</li>
<li>Electronic patient records</li>
<li>Referral management platforms</li>
<li>Scheduling systems</li>
<li>CRM platforms</li>
<li>Operational and financial datasets</li>
<li>Generate actionable insights that support:</li>
<li>Clinical services</li>
<li>Operational performance</li>
<li>Service planning</li>
<li>Leadership decision-making</li>
<li>Identify operational bottlenecks, inefficiencies, and opportunities for service improvement</li>
<li>Translate complex analytical findings into clear and meaningful recommendations for stakeholders</li>
</ul>
Reporting &amp; Data Visualisation<ul>
<li>
Develop dashboards and visualisations using Tableau
</li><li>Deliver reporting solutions that support:</li>
<li>Executive reporting</li>
<li>Operational monitoring</li>
<li>Clinical insight</li>
<li>Patient pathway analytics</li>
<li>Ensure reporting solutions are scalable, accessible, and support self-service analytics</li>
<li>Support continuous improvement of reporting frameworks and analytical outputs</li>
</ul>
Data Management &amp; Quality<ul>
<li>
Work closely with data engineering and platform teams to ensure data is reliable, structured, and accessible</li>
<li>Support development of analytical datasets, data models, and consistent metric definitions</li>
<li>Identify and resolve data quality issues across systems and workflows</li>
<li>Contribute to good practices around:</li>
<li>Data governance</li>
<li>Data quality monitoring</li>
<li>Documentation</li>
<li>Analytical standards</li>
<li>Ensure healthcare data is handled securely and in line with GDPR and governance requirements</li>
</ul>
Stakeholder Collaboration<ul>
<li>
Work closely with:</li>
<li>Clinical teams</li>
<li>Operational leaders</li>
<li>Product teams</li>
<li>Engineering and data teams</li>
<li>Understand business and clinical challenges and translate them into analytical approaches</li>
<li>Present insights and analytical findings to both technical and non-technical audiences</li>
<li>Support evidence-based decision-making across the organisation</li>
</ul>
Continuous Improvement &amp; Innovation<ul>
<li>
Contribute to the growth of Care ADHD&rsquo;s data science and analytics capabilities</li>
<li>Identify opportunities to improve how data is collected, analysed, and used across the organisation</li>
<li>Stay informed about developments in:</li>
<li>Healthcare analytics</li>
<li>AI and machine learning</li>
<li>Digital health technologies</li>
<li>Help shape the future use of AI and predictive analytics within the organisation</li>
</ul>
What We&rsquo;re Looking For
Education
Degree in a quantitative or analytical discipline such as:<ul>
<li>
Data Science</li>
<li>Statistics</li>
<li>Mathematics</li>
<li>Computer Science</li>
<li>Health Informatics</li>
<li>Economics</li>
<li>Or a related field</li>
</ul>
Equivalent experience will also be considered.
Experience<ul>
<li>
Experience working in a Data Scientist, Senior Data Analyst, or similar analytical role</li>
<li>Experience working with large and complex datasets</li>
<li>Strong experience developing analytical models and generating actionable insights</li>
<li>Experience in healthcare, digital health, SaaS, or regulated environments preferred</li>
<li>Experience building dashboards and reporting solutions using Tableau</li>
<li>Experience working with cross-functional stakeholders to support operational or service improvements</li>
</ul>
Technical Skills
Strong experience with:<ul>
<li>
Python (Pandas, NumPy, Scikit-learn, etc.)</li>
<li>SQL and relational databases</li>
<li>Statistical analysis and predictive modelling</li>
<li>Data analysis and data manipulation</li>
<li>Tableau and data visualisation</li>
<li>Machine learning and AI techniques</li>
</ul>
Experience with tools and technologies such as:<ul>
<li>
MS SQL Server</li>
<li>Tableau</li>
<li>Python or R</li>
<li>Git/version control tools</li>
<li>Excel and analytical tooling</li>
</ul>
Understanding of:<ul>
<li>
Data governance and data quality principles</li>
<li>Data modelling and analytical datasets</li>
<li>Working with sensitive healthcare data</li>
<li>Healthcare operational analytics</li>
</ul><h2 class="jobSectionHeader">
Leadership Competencies</h2>
Analytical Thinking
Strong problem-solving skills with the ability to work with complex and ambiguous datasets.
Communication
Ability to clearly communicate analytical findings and recommendations to both technical and non-technical stakeholders.
Collaboration
Experience working across multidisciplinary teams including clinical, operational, product, and technology stakeholders.
Delivery
Ability to manage multiple priorities and deliver high-quality analytical outputs in a fast-paced environment.
What Success Looks Like<ul>
<li>
High-quality analytical insight supporting operational and clinical decision-making</li>
<li>Predictive and analytical models delivering measurable service improvements</li>
<li>Reliable and accessible dashboards and reporting solutions</li>
<li>Improved understanding of patient journeys and service performance</li>
<li>Strong collaboration between data, clinical, product, and operational teams</li>
<li>Increased adoption of data-driven decision making across the organisation</li>
<li>Increased adoption of data-driven decision making across the organisation</li>
</ul>
Why Join Care ADHD
This is an opportunity to help shape how data science, AI, and analytics support ADHD care within a growing digital healthcare organisation.
You&rsquo;ll work closely with clinical, operational, product, and technology teams to build meaningful analytical capabilities that directly improve patient outcomes and service delivery.
What You can Expect From Us<ul>
<li>
Competitive salary</li>
<li>Hybrid working</li>
<li>25 days annual leave (plus UK public holidays)</li>
<li>Team get-togethers</li>
<li>A paid day off on your birthday</li>
<li>Office equipment when you join</li>
<li>&pound;500 stipend to set up your home office*</li>
<li>Pension contribution</li>
<li>Be part of one of the UK&rsquo;s most ambitious HealthTech start-ups</li>
</ul>
️Our Hiring Process
We aim to make our hiring process as streamlined as possible. Successful applicants will have:
Stage 1 - Screening Call with our Talent Acquisition Specialist
Stage 2 - Opportunity to meet the Hiring Manager
Stage 3 - Skills based Interview with Hiring Manager
Stage 4 - Panel Interview
Stage 5 - Offer
Apply with Confidence
Studies show that men apply for roles when they meet around 60% of the qualifications, whereas women and other marginalised groups often apply only if they meet every requirement. If you believe you&rsquo;re a great fit but don&rsquo;t meet every single requirement, we encourage you to apply!
At Care ADHD, we&rsquo;re committed to building a diverse and inclusive environment. We encourage applications from candidates of all backgrounds, especially those from historically marginalised communities, as we work together to create a more equitable future.<div><h3 class="jobSectionHeader">
Company Overview</h3>
At CARE ADHD, we're revolutionising private healthcare by making ADHD assessments and treatment more affordable and accessible to those who need it. Our client-centred approach, combined with lean methodology and a focus on continuous improvement, drives our commitment to excellence. We embrace an innovative mindset, encouraging rapid learning and adaptation through our 'fail fast' ethos. With ambitious plans to become the largest ADHD service provider outside the NHS within the next five years, we are committed to pushing boundaries and fostering innovation.</div></div>

Data Scientist

Ofgem

<div>
 
 
 About the job
 
 
 
 
 
 
 Successful candidates may be based in any of our office locations &ndash; Cardiff, Glasgow or London. We especially welcome applicants from Cardiff and Glasgow. (20% hybrid, 1 day per week)
 
 
 
 
 
 
 
 
 
 Job summary
 
 
 
 
 
 
 Data science at Ofgem is not abstract research. It helps us understand energy markets, monitor supplier performance, assess risks to consumers, and support decisions that affect households and businesses across Great Britain. As the energy system becomes more complex, Ofgem needs data scientists who can turn complex, imperfect and fast-moving data into insight, evidence and practical tools that improve regulation.
 
 
 Ofgem is on an ambitious transformation journey. Within the Digital, Data and Security Services (DDSS) directorate, we are building a stronger Data &amp; AI capability for Ofgem: improving how we use data, developing reusable analytical products, and applying data science and AI safely to priority regulatory and operational challenges.
 
 
 
 
 
 As a
 
 Data Scientist
 
 , you will play a key role in delivering analytical solutions that address real-world challenges. You will apply a range of data science techniques to develop models, generate insights and support data-driven decision-making across the organisation. The role is not only about building models; it is about making sure analytical work is robust, explainable and usable by the people who need to make decisions.
 
 
 This is a hands-on analytical role within a fast-paced and evolving environment. You will combine technical expertise with curiosity, sound judgement and strong communication skills, ensuring that insights are accessible, actionable and aligned with business needs.
 
 
 
 
 
 
 Job description
 
 
 
 
 
 
 
 You will be responsible for:
 
 
 
 
 
 <ul>
 <li>
 Designing, developing and delivering data science solutions that provide clear evidence, support decisions and can be reused or maintained over time.
 </li>
 <li>
 Applying statistical, machine learning and analytical techniques where they are the right tools for the problem, and explaining the strengths, limitations and assumptions of the approach.
 </li>
 <li>
 Working with incomplete, complex or inconsistent data, and applying appropriate quality checks to produce reliable, reproducible and well-documented outputs.
 </li>
 <li>
 Working with policy, operational and technical colleagues to understand the decision or problem, test whether data science is the right approach, and translate needs into practical analytical solutions.
 </li>
 <li>
 Communicating findings clearly to both technical and non-technical audiences through visualisations, presentations and reporting.
 </li>
 <li>
 Collaborating with data engineers, analysts and delivery teams to ensure solutions are scalable, maintainable and aligned with organisational standards.
 </li>
 <li>
 Applying responsible AI, ethical, privacy and security considerations throughout the data science lifecycle, including model explainability, bias, proportionality and appropriate governance.
 </li>
 <li>
 Using modern tools and platforms, including Python and Azure-based technologies, to develop, test, document and, where appropriate, deploy analytical products.
 </li>
 <li>
 Identifying and implementing improvements to tools, processes and methods, contributing to continuous improvement in data science capability.
 </li>
 </ul>
 
 
 
 
 
 We are looking for:
 
 
 
 
 
 
 We are looking for someone who combines strong technical capability with curiosity, sound judgement and a practical delivery mindset. You will be comfortable working with ambiguity, engaging with non-technical colleagues, and turning complex data into insight that can be trusted and acted on.
 
 
 
 
 
 You may come from a data science, analytics or quantitative background, but you will demonstrate:
 
 <ul>
 <li>
 Experience developing and delivering data science or advanced analytical solutions that have informed decisions, improved services or supported measurable outcomes.
 </li>
 <li>
 Strong knowledge of statistical methods and machine learning techniques, with the judgement to select proportionate methods and explain their assumptions, limitations and risks.
 </li>
 <li>
 Practical experience using Python or similar languages to build reproducible analysis, models or data science workflows, ideally using cloud-based data platforms such as Azure.
 </li>
 <li>
 Ability to work with complex, messy or incomplete datasets, including data preparation, feature engineering, quality assessment, modelling and validation.
 </li>
 <li>
 Strong communication skills, with the ability to explain technical work clearly to non-specialists and provide advice that supports confident decision-making.
 </li>
 <li>
 Understanding of responsible AI, data ethics, privacy, security and governance considerations in applied data science.
 </li>
 <li>
 Experience working with analysts, engineers, product or delivery colleagues, or subject matter experts to turn analytical ideas into usable products or services.
 </li>
 <li>
 Experience working in agile environments, and familiarity with user-centred design approaches, would be beneficial.
 </li>
 </ul>
 
 This is an opportunity to help shape how a major UK regulator uses data science and AI. Your work will support better decisions, stronger regulation and improved outcomes for energy consumers, while helping build a modern, responsible and delivery-focused Data &amp; AI capability inside Ofgem.
 
 
 
 
 
 
 Person specification
 
 
 
 
 Essential Criteria
 
 
 <ul>
 <li>
 Demonstrated experience in developing data science solutions that enable organisations to achieve their goals
 
 (Lead Criteria)
 
 .
 </li>
 <li>
 Demonstrated experience applying AI and data science tools and techniques, particularly those used at OFGEM
 
 (Lead Criteria)
 
 .
 </li>
 <li>
 Ability to collaborate with data engineers and scientists, and delivery teams to source, clean and prepare data appropriately.
 </li>
 <li>
 Ability to write programs and scripts, optimising code and testing products.
 </li>
 <li>
 Evidence of commitment to develop your own skill set.
 </li>
 </ul>
 
 
 Desirable Criteria
 
 
 <ul>
 <li>
 Experience of delivering in an agile, iterative manner that delivers value early.
 </li>
 <li>
 Experience of understanding the role of user research and establishing user needs.
 </li>
 </ul>
 
 
 
 
 
 Behaviours
 
 
 
 We'll assess you against these behaviours during the selection process:
 
 <ul>
 <li>
 Changing and Improving
 </li>
 <li>
 Communicating and Influencing
 </li>
 <li>
 Delivering at Pace
 </li>
 </ul>
 
 
 
 
 
 Benefits
 
 
 
 Alongside your salary of &pound;35,232, OFGEM contributes &pound;10,206 towards you being a member of the Civil Service Defined Benefit Pension scheme. Find out what benefits a Civil Service Pension provides (opens in a new window).
 
 
 Ofgem can offer you a comprehensive and competitive benefits package which includes; 30 days annual leave after 2 years; Excellent training and development opportunities; The opportunity to join the generous Civil Service pension which also includes a valuable range of benefits; hybrid working (currently 1 day a week in the office but this is kept under review), flexible working hours and family friendly policies. Plus lots of other benefits including clean and bright offices based centrally, engaged networks and teams and an opportunity to contribute to our ambitious and important targets of establishing a Net Zero energy system by 2050. This exciting blend of professional challenge and personal reward identifies career opportunities at Ofgem as something to get excited about.
 
 
 Things you need to know
 
 
 
 
 
 
 Artificial intelligence
 
 
 
 Artificial intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance (opens in a new window) for more information on appropriate and inappropriate use.
 
 
 
 
 
 
 Selection process details
 
 
 
 This vacancy is using Success Profiles (opens in a new window), and will assess your Behaviours and Experience.
 
 
 When you press the &lsquo;Apply now&rsquo; button, you will be asked to complete personal details (not seen by the sift panel), your career history and qualifications.
 
 
 You will then be asked to provide a 1250 word &lsquo;personal statement&rsquo; evidencing how you meet the essential and desirable skills and capabilities listed in the role profile. Please ensure you demonstrate clearly, within your supporting statement, how you meet each of the criteria listed in the role profile. In the event of receiving a large number of applications, an initial sift may take place on just the
 
 lead criteria
 
 indicated in the essential criteria.
 
 
 
 The personal information we have collected from you will be shared with Cifas who will use it to prevent fraud, other unlawful or dishonest conduct, malpractice, and other seriously improper conduct. If any of these are detected, you could be refused certain services or employment. Your personal information will also be used to verify your identity. Further details of how your information will be used by us and Cifas, and your data protection rights, can be found by
 
 [
 
 https://www.cifas.org.uk/fpn
 
 ].
 
 
 
 
 
 At Ofgem, we expect our staff to carry out their roles with honesty, fairness and openness. They should follow the Civil Service code and be free from any influence or bias. We are committed to making sure interests are recognised, declared and managed appropriately so that we can fulfil our duties as an energy regulator. Our Conflicts of Interest policy outlines the types of interests Ofgem staff must declare before onboarding, and the rules they must follow throughout employment so that we can clearly demonstrate that our decisions are not influenced by private interests.
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Feedback will only be provided if you attend an interview or assessment.
 </li>
 </ul>
 
 
</div>

<div>
 Successful candidates may be based in any of our office locations &ndash; Cardiff, Glasgow or London. We especially welcome applicants from Cardiff and Glasgow.
 
 
 
 Job Summary
 
 
 
 Data science at Ofgem is not abstract research. It helps us understand energy markets, monitor supplier performance, assess risks to consumers, and support decisions that affect households and businesses across Great Britain. As the energy system becomes more complex, Ofgem needs data scientists who can turn complex, imperfect and fast-moving data into insight, evidence and practical tools that improve regulation.
 
 
 Ofgem is on an ambitious transformation journey. Within the Digital, Data and Security Services (DDSS) directorate, we are building a stronger Data &amp; AI capability for Ofgem: improving how we use data, developing reusable analytical products, and applying data science and AI safely to priority regulatory and operational challenges.
 
 
 As a
 
 Data Scientist
 
 , you will play a key role in delivering analytical solutions that address real-world challenges. You will apply a range of data science techniques to develop models, generate insights and support data-driven decision-making across the organisation. The role is not only about building models; it is about making sure analytical work is robust, explainable and usable by the people who need to make decisions.
 
 
 This is a hands-on analytical role within a fast-paced and evolving environment. You will combine technical expertise with curiosity, sound judgement and strong communication skills, ensuring that insights are accessible, actionable and aligned with business needs.
 
 
 
 Job Description
 
 
 
 
 You will be responsible for:
 
 
 
 <ul>
 <li>
 Designing, developing and delivering data science solutions that provide clear evidence, support decisions and can be reused or maintained over time.
 </li>
 <li>
 Applying statistical, machine learning and analytical techniques where they are the right tools for the problem, and explaining the strengths, limitations and assumptions of the approach.
 </li>
 <li>
 Working with incomplete, complex or inconsistent data, and applying appropriate quality checks to produce reliable, reproducible and well-documented outputs.
 </li>
 <li>
 Working with policy, operational and technical colleagues to understand the decision or problem, test whether data science is the right approach, and translate needs into practical analytical solutions.
 </li>
 <li>
 Communicating findings clearly to both technical and non-technical audiences through visualisations, presentations and reporting.
 </li>
 <li>
 Collaborating with data engineers, analysts and delivery teams to ensure solutions are scalable, maintainable and aligned with organisational standards.
 </li>
 <li>
 Applying responsible AI, ethical, privacy and security considerations throughout the data science lifecycle, including model explainability, bias, proportionality and appropriate governance.
 </li>
 <li>
 Using modern tools and platforms, including Python and Azure-based technologies, to develop, test, document and, where appropriate, deploy analytical products.
 </li>
 <li>
 Identifying and implementing improvements to tools, processes and methods, contributing to continuous improvement in data science capability.
 
 
 </li>
 </ul>
 
 
 We Are Looking For:
 
 
 
 
 We are looking for someone who combines strong technical capability with curiosity, sound judgement and a practical delivery mindset. You will be comfortable working with ambiguity, engaging with non-technical colleagues, and turning complex data into insight that can be trusted and acted on.
 
 
 You may come from a data science, analytics or quantitative background, but you will demonstrate:
 
 
 <ul>
 <li>
 Experience developing and delivering data science or advanced analytical solutions that have informed decisions, improved services or supported measurable outcomes.
 </li>
 <li>
 Strong knowledge of statistical methods and machine learning techniques, with the judgement to select proportionate methods and explain their assumptions, limitations and risks.
 </li>
 <li>
 Practical experience using Python or similar languages to build reproducible analysis, models or data science workflows, ideally using cloud-based data platforms such as Azure.
 </li>
 <li>
 Ability to work with complex, messy or incomplete datasets, including data preparation, feature engineering, quality assessment, modelling and validation.
 </li>
 <li>
 Strong communication skills, with the ability to explain technical work clearly to non-specialists and provide advice that supports confident decision-making.
 </li>
 <li>
 Understanding of responsible AI, data ethics, privacy, security and governance considerations in applied data science.
 </li>
 <li>
 Experience working with analysts, engineers, product or delivery colleagues, or subject matter experts to turn analytical ideas into usable products or services.
 </li>
 <li>
 Experience working in agile environments, and familiarity with user-centred design approaches, would be beneficial.
 
 
 </li>
 </ul>
 This is an opportunity to help shape how a major UK regulator uses data science and AI. Your work will support better decisions, stronger regulation and improved outcomes for energy consumers, while helping build a modern, responsible and delivery-focused Data &amp; AI capability inside Ofgem.
 
 
 
 
 We Are Looking For:
 
 
 
 
 We are looking for someone who combines strong technical capability with curiosity, sound judgement and a practical delivery mindset. You will be comfortable working with ambiguity, engaging with non-technical colleagues, and turning complex data into insight that can be trusted and acted on.
 
 
 You may come from a data science, analytics or quantitative background, but you will demonstrate:
 
 
 <ul>
 <li>
 Experience developing and delivering data science or advanced analytical solutions that have informed decisions, improved services or supported measurable outcomes.
 </li>
 <li>
 Strong knowledge of statistical methods and machine learning techniques, with the judgement to select proportionate methods and explain their assumptions, limitations and risks.
 </li>
 <li>
 Practical experience using Python or similar languages to build reproducible analysis, models or data science workflows, ideally using cloud-based data platforms such as Azure.
 </li>
 <li>
 Ability to work with complex, messy or incomplete datasets, including data preparation, feature engineering, quality assessment, modelling and validation.
 </li>
 <li>
 Strong communication skills, with the ability to explain technical work clearly to non-specialists and provide advice that supports confident decision-making.
 </li>
 <li>
 Understanding of responsible AI, data ethics, privacy, security and governance considerations in applied data science.
 </li>
 <li>
 Experience working with analysts, engineers, product or delivery colleagues, or subject matter experts to turn analytical ideas into usable products or services.
 </li>
 <li>
 Experience working in agile environments, and familiarity with user-centred design approaches, would be beneficial.
 
 
 </li>
 </ul>
 This is an opportunity to help shape how a major UK regulator uses data science and AI. Your work will support better decisions, stronger regulation and improved outcomes for energy consumers, while helping build a modern, responsible and delivery-focused Data &amp; AI capability inside Ofgem.
 
 
 Person specification
 
 
 Essential Criteria
 
 
 <ul>
 <li>
 Demonstrated experience in developing data science solutions that enable organisations to achieve their goals (Lead Criteria).
 </li>
 <li>
 Demonstrated experience applying AI and data science tools and techniques, particularly those used at OFGEM (Lead Criteria).
 </li>
 <li>
 Ability to collaborate with data engineers and scientists, and delivery teams to source, clean and prepare data appropriately.
 </li>
 <li>
 Ability to write programs and scripts, optimising code and testing products.
 </li>
 <li>
 Evidence of commitment to develop your own skill set.
 
 
 </li>
 </ul>
 Desirable Criteria
 
 
 <ul>
 <li>
 Experience of delivering in an agile, iterative manner that delivers value early.
 </li>
 <li>
 Experience of understanding the role of user research and establishing user needs.
 
 
 </li>
 </ul>
 Behaviours
 
 
 We'll assess you against these behaviours during the selection process:
 
 
 <ul>
 <li>
 Changing and Improving
 </li>
 <li>
 Communicating and Influencing
 </li>
 <li>
 Delivering at Pace
 
 
 </li>
 </ul>
 Alongside your salary of &pound;35,232, OFGEM contributes &pound;10,206 towards you being a member of the Civil Service Defined Benefit Pension scheme. Find out what benefits a Civil Service Pension provides (opens in a new window).
 
 
 Ofgem can offer you a comprehensive and competitive benefits package which includes; 30 days annual leave after 2 years; Excellent training and development opportunities; The opportunity to join the generous Civil Service pension which also includes a valuable range of benefits; hybrid working (currently 1 day a week in the office but this is kept under review), flexible working hours and family friendly policies. Plus lots of other benefits including clean and bright offices based centrally, engaged networks and teams and an opportunity to contribute to our ambitious and important targets of establishing a Net Zero energy system by 2050. This exciting blend of professional challenge and personal reward identifies career opportunities at Ofgem as something to get excited about.
 
 
 Artificial intelligence
 
 
 Artificial intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance (opens in a new window) for more information on appropriate and inappropriate use.
 
 
 Selection process details
 
 
 This vacancy is using Success Profiles (opens in a new window), and will assess your Behaviours and Experience.
 
 
 When you press the &lsquo;Apply now&rsquo; button, you will be asked to complete personal details (not seen by the sift panel), your career history and qualifications.
 
 
 You will then be asked to provide a 1250 word &lsquo;personal statement&rsquo; evidencing how you meet the essential and desirable skills and capabilities listed in the role profile. Please ensure you demonstrate clearly, within your supporting statement, how you meet each of the criteria listed in the role profile. In the event of receiving a large number of applications, an initial sift may take place on just the
 
 lead criteria
 
 indicated in the essential criteria.
 
 
 
 The personal information we have collected from you will be shared with Cifas who will use it to prevent fraud, other unlawful or dishonest conduct, malpractice, and other seriously improper conduct. If any of these are detected, you could be refused certain services or employment. Your personal information will also be used to verify your identity. Further details of how your information will be used by us and Cifas, and your data protection rights, can be found by [
 
 
 https://www.cifas.org.uk/fpn
 
 
 ].
 
 
 
 
 At Ofgem, we expect our staff to carry out their roles with honesty, fairness and openness. They should follow the Civil Service code and be free from any influence or bias. We are committed to making sure interests are recognised, declared and managed appropriately so that we can fulfil our duties as an energy regulator. Our
 
 
 Conflicts of Interest policy
 
 
 outlines the types of interests Ofgem staff must declare before onboarding, and the rules they must follow throughout employment so that we can clearly demonstrate that our decisions are not influenced by private interests.
 
 
 
 Feedback will only be provided if you attend an interview or assessment.
 
 
 This vacancy is using Success Profiles (opens in a new window), and will assess your Behaviours and Experience.
 
 
 Security
 
 
 Successful candidates must undergo a criminal record check.
 
 
 Successful candidates must meet the security requirements before they can be appointed. The level of security needed is security check (opens in a new window).See our vetting charter (opens in a new window).
 
 
 People working with government assets must complete baseline personnel security standard (opens in new window) checks.
 
 
 Successful candidates must undergo a criminal record check.
 
 
 Successful candidates must meet the security requirements before they can be appointed. The level of security needed is security check (opens in a new window).See our vetting charter (opens in a new window).
 
 
 People working with government assets must complete baseline personnel security standard (opens in new window) checks.
 
 
 Nationality requirements
 
 
 
 This Job Is Broadly Open To The Following Groups:
 
 
 
 <ul>
 <li>
 UK nationals
 </li>
 <li>
 nationals of the Republic of Ireland
 </li>
 <li>
 nationals of Commonwealth countries who have the right to work in the UK
 </li>
 <li>
 nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities with settled or pre-settled status under the European Union Settlement Scheme (EUSS) (opens in a new window)
 </li>
 <li>
 nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities who have made a valid application for settled or pre-settled status under the European Union Settlement Scheme (EUSS)
 </li>
 <li>
 individuals with limited leave to remain or indefinite leave to remain who were eligible to apply for EUSS on or before 31 December 2020
 </li>
 <li>
 Turkish nationals, and certain family members of Turkish nationals, who have accrued the right to work in the Civil Service
 
 
 </li>
 </ul>
 Further information on nationality requirements (opens in a new window)
 
 
 Working for the Civil Service
 
 
 Please note this Post is NOT regulated by the Civil Service Commission.
 
 
 The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria.
 
 
 The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy.
 
 
 Please note this Post is NOT regulated by the Civil Service Commission.
 
 
 The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria.
 
 
 The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy.
 
 
 Diversity and Inclusion
 
 
 The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan (opens in a new window) and the Civil Service Diversity and Inclusion Strategy (opens in a new window).
 
 
 This vacancy is part of the Great Place to Work for Veterans (opens in a new window) initiative.
 
 
 The Civil Service welcomes applications from people who have recently left prison or have an unspent conviction. Read more about prison leaver recruitment (opens in new window).
 
 
 Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.
 
 
 Contact point for applicants
 
 
 
 Job Contact :
 
 
 
 <ul>
 <li>
 Name : Amber Shankland
 </li>
 <li>
 Email : amber.shankland@ofgem.gov.uk
 
 
 </li>
 </ul>
 Recruitment team
 
 
 <ul>
 <li>
 Email : recruitment@ofgem.gov.uk
 
 
 </li>
 </ul>
 Further information
 
 
 Appointment to the Civil Service is governed by the Civil Service Commission&rsquo;s Recruitment Principles. You have the right to complain if you feel there has been a breach of these Recruitment Principles.
 
 
 In the first instance, you should raise the matter directly via recruitment@ofgem.gov.uk. If you are not satisfied with the response, you may bring your complaint to the Commission. For further information on bringing a complaint to the Civil Service Commission, please visit their website.
</div>

Search 10000+ Data science analyst jobs near you this July. New roles added regularly across leading industries. Apply today.

10000 data science analyst jobs Near Me

Clinical CRM Analyst – Data Science & Analytics

Senior Analyst - 12 month fixed term contract

Senior Data Scientist (Commodity Markets) m/f/d

Senior Data Scientist (Commodity Markets) m/f/d

Data Scientist

Data Scientist

Data Scientist