• 1-3 years’ of experience in Data Science or a related analytical role.
• Proficiency in Python or R for data analysis and modelling.
• Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Solid understanding of statistics, data wrangling, and exploratory data analysis.
• Ability to work collaboratively in a team and communicate clearly.
• Familiarity with data visualisation tools (e.g., matplotlib, seaborn, Tableau, Power BI).

 
Desirable:

• Exposure to cloud platforms (AWS, Azure, GCP) and data engineering concepts.
• Experience with SQL and database querying.
• Understanding of model deployment techniques and MLOps basics.
• Knowledge of AI ethics, bias, and data privacy principles.
• Relevant qualifications (BSc/MSc in Data Science, Computer Science, Statistics, or related field).

Job Responsibilities

• Support the development, testing, and deployment of machine learning models and data analytics solutions.
• Clean, preprocess, and analyse structured and unstructured data from various sources.
• Assist in exploratory data analysis (EDA) to uncover patterns, trends, and insights.
• Collaborate with senior data scientists, data engineers, and stakeholders to understand business problems and requirements.
• Prepare clear documentation and visualisations to communicate findings to technical and non-technical audiences.
• Participate in code reviews and contribute to improving data science workflows and best practices.
• Help maintain model performance through monitoring, retraining, and validation activities.
• Support client workshops and presentations as needed.

Job Benefits

• 25 Days holiday (excluding bank holidays) – increasing by a day every 2 years.
• Mental health and wellbeing support, including access to counselling.
• Annual wellbeing allowance (e.g. personal training, fitness, wellness apps).
• Up to 10% of your salary in employee benefits, including critical illness cover, life insurance, and private healthcare (post-probation).
• Generous company pension contribution.
• Ongoing professional development and training opportunities.

JOB TITLE: Lead Data & AI Scientist (BCB)

SALARY: Competitive* will be discussed at interview stage

LOCATION(S): London or Edinburgh

HOURS: Full time

WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of your time, at our Edinburgh office.

About this Opportunity:

In Business & Commercial Banking (BCB) we're developing our client value proposition, shaping our digital and data strategy, and driving commercial growth initiatives.

As a Lead Data & AI Scientist, you’ll play a pivotal role in shaping and delivering ground breaking AI solutions that solve complex business challenges for BCB. From predictive and generative AI to agentic systems, you’ll lead initiatives that transform digital experiences, automate processes, and unlock data-driven insights for colleagues and clients.

You’ll provide technical leadership, define our capability roadmap, and ensure the delivery of high-quality, scalable models. This role also involves mentoring the Data Science & AI team, encouraging knowledge sharing, and embedding industry guidelines.

What you’ll be doing:

Conceptualise and lead technology-based solutions that solve complex business problems. Improve digital experiences, automate processes, and provide data-driven insights to support colleague and client journeys.

Shape and define the capability roadmap for Data & AI, including cloud-native solutions and scalable architectures.

Provide technical leadership, coaching, and mentoring for data scientists and engineers.

Ensure rigorous quality assurance in model development, testing, and deployment.

Develop proofs-of-concept to demonstrate new capabilities and accelerate adoption.

Partner with colleagues to understand business requirements and translate them into actionable AI solutions.

Advocate for responsible AI practices and compliance with governance frameworks.

Guide the team in solving complex AI use cases and improving existing approaches.

Contribute to the design of training curricula and professional development paths for the Data & AI community.

Drive measurable business outcomes through AI solutions aligned to strategic priorities.

Ensure solutions are scalable, secure, and aligned with Group Data & AI standards.

Why join us?

We’re on an exciting journey to transform our Group and the way we’re shaping finance for good. We’re focusing on the future, investing in our technologies, workplaces, and colleagues to make our Group a great place for everyone.

What we’re looking for?

Set the strategic direction for Data & AI across BCB, aligning investment and priorities with business outcomes

Lead the design and delivery of enterprise-level AI solutions across client journeys, automation, and insight generation

Own the Data & AI capability roadmap, ensuring scalable, cloud-based architectures that support long-term growth

Provide technical and thought leadership to the Data Science & AI team, building capability and setting engineering standards

Oversee the full lifecycle of AI solutions, ensuring robust development, deployment, monitoring, and continuous improvement

Partner with senior leaders to shape high-value AI use cases and influence decision-making at leadership level

Embed responsible AI practices, ensuring all solutions meet governance, risk, and regulatory requirements

Drive measurable commercial and operational outcomes, with clear accountability for impact, adoption, and value delivered

We know that great talent comes from many backgrounds. Whilst this job advert may reference specific years of experience, we recognise that skills are developed in many ways, so if you have relevant, transferable experience, we encourage you to apply.

This is a place for you:

Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities, and we’re committed to creating an environment in which everyone can thrive, learn and develop.

We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer Initiative.

We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. And, as a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with a disability, long-term health or neurodivergent condition through the Disability Confident Scheme.

We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need.

We also offer a wide-ranging benefits package, which includes:

A generous pension contribution of up to 15%

An annual performance-related bonus

Share schemes including free shares

Benefits you can adapt to your lifestyle, such as discounted shopping

30 days’ holiday, with bank holidays on top

A range of wellbeing initiatives and generous parental leave policies

Ready for a career where you’ll learn and thrive? Apply today and find out more.

At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop.

We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. 

We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we’re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.

Nine Elms, London - Full-time

As part of our vision, we are seeking a talented Data Scientist to join our dynamic, expanding team. Over the last few years we’ve built a solid data foundation using best in class technologies (dbt, BigQuery, Airflow) and are just at the start of our journey to leverage this data in a more sophisticated way.

About Zapp:

Zapp is London’s leading premium convenience retail platform. Founded in 2020, our vision is to disrupt the multi-trillion dollar convenience retail market, currently dominated by major players, by developing best-in-class customer-centric technology and fulfilment solutions. Zapp partners with some of the world’s leading brands to deliver an exclusive range of hand-picked products 24/7, delivered in minutes.

Key Responsibilities:

• Stakeholder Management: Help business leaders at Zapp understand and prioritise opportunities related to AI/ML

• End-to-End Development and Ownership: Own the lifecycle of new models from concept to deployment and monitoring, and continuously iterate.

• Reporting/Dashboarding

• Collaboration: Work closely with cross-functional teams to define, design, and implement new features, driving both business and technical excellence.

• Code Quality: Write scalable, maintainable, and high-quality code while adhering to best practices for testing, deployment, and version control.

Essential skills:

• Minimum of 1-2 years of professional experience as a Data Scientist in a commercial setting.

• Bachelor’s degree in Computer Science, Software Engineering, Mathematics, Physics, or a related field.

• Expertise in Python and developing high-quality, scalable code Hands-on experience with cloud platforms like GCP, AWS, or Azure

• Solid understanding of SQL

• Familiarity with version control (Git) and automated deployment pipelines (CI/CD).

Desirable skills:

• Past work in retail demand forecasting

• Experience working in a startup environment

• Experience with GCP/Vertex AIent

Benefits:

• Competitive salary & equity package.

• Enjoy 25 days of holiday per year (plus all bank holidays).

• Private Health Insurance.

• Extended sick pay and maternity/paternity leave pay.

• Cycle to work scheme.

• Flexible/hybrid working arrangement

Leading international Manufacturing & Retail Company

Job Description

This leading international Manufacturing & Retail Company is seeking a commercially focused and technically capable Data Scientist to join their Finance team to support a high growth phase into new markets.This is a cross-functional business role designed to support data-driven decision making across the entire organisation - including Finance, Merchandising, Creative, Licensing, Sales, Supply Chain, eCommerce, and Operations. The role will additionally support marketplace, eCommerce, and consumer insight initiatives to help drive commercial decision-making across retail and digital channels.The successful candidate will be responsible for transforming complex business data into actionable insights, building reporting frameworks, identifying trends and opportunities, and supporting leadership teams with strategic analysis and forecasting. The role will also play a key part in driving the company's adoption of AI technologies, automation, and modern analytics tools.Key Responsibilities:

The Successful Applicant

Essential:

Desirable:

What's on Offer

A few examples of your responsibilities

What we look for

What we offer

• Develop analytical and predictive models using healthcare and operational data
• Apply statistical analysis, machine learning, and AI techniques to identify trends, patterns, and opportunities for improvement
• Build models and analytical solutions to support:
  • Service demand forecasting
  • Patient engagement analysis
  • Appointment attendance prediction
  • Capacity and scheduling optimisation
  • Patient pathway analysis
• Analyse patient journeys across the ADHD care pathway, including:
  • Referral volumes
  • Waiting times
  • Assessment and treatment progression
  • Patient engagement and retention
• Support experimentation, hypothesis testing, and exploratory data analysis to improve service delivery and operational outcomes

Healthcare Data Analysis & Insight

• Work with data from multiple systems including:
  • Electronic patient records
  • Referral management platforms
  • Scheduling systems
  • CRM platforms
  • Operational and financial datasets
• Generate actionable insights that support:
  • Clinical services
  • Operational performance
  • Service planning
  • Leadership decision-making
• Identify operational bottlenecks, inefficiencies, and opportunities for service improvement
• Translate complex analytical findings into clear and meaningful recommendations for stakeholders

Reporting & Data Visualisation

• Develop dashboards and visualisations using Tableau
• Deliver reporting solutions that support:
  • Executive reporting
  • Operational monitoring
  • Clinical insight
  • Patient pathway analytics
• Ensure reporting solutions are scalable, accessible, and support self-service analytics
• Support continuous improvement of reporting frameworks and analytical outputs

Data Management & Quality

• Work closely with data engineering and platform teams to ensure data is reliable, structured, and accessible
• Support development of analytical datasets, data models, and consistent metric definitions
• Identify and resolve data quality issues across systems and workflows
• Contribute to good practices around:
  • Data governance
  • Data quality monitoring
  • Documentation
  • Analytical standards
• Ensure healthcare data is handled securely and in line with GDPR and governance requirements

Stakeholder Collaboration

• Work closely with:
  • Clinical teams
  • Operational leaders
  • Product teams
  • Engineering and data teams
• Understand business and clinical challenges and translate them into analytical approaches
• Present insights and analytical findings to both technical and non-technical audiences
• Support evidence-based decision-making across the organisation

Continuous Improvement & Innovation

• Contribute to the growth of Care ADHD’s data science and analytics capabilities
• Identify opportunities to improve how data is collected, analysed, and used across the organisation
• Stay informed about developments in:
  • Healthcare analytics
  • AI and machine learning
  • Digital health technologies
• Help shape the future use of AI and predictive analytics within the organisation

🚀What We’re Looking For
Education
Degree in a quantitative or analytical discipline such as:

• Data Science
• Statistics
• Mathematics
• Computer Science
• Health Informatics
• Economics
• Or a related field

Equivalent experience will also be considered.

Experience

• Experience working in a Data Scientist, Senior Data Analyst, or similar analytical role
• Experience working with large and complex datasets
• Strong experience developing analytical models and generating actionable insights
• Experience in healthcare, digital health, SaaS, or regulated environments preferred
• Experience building dashboards and reporting solutions using Tableau
• Experience working with cross-functional stakeholders to support operational or service improvements

Technical Skills
Strong experience with:

• Python (Pandas, NumPy, Scikit-learn, etc.)
• SQL and relational databases
• Statistical analysis and predictive modelling
• Data analysis and data manipulation
• Tableau and data visualisation
• Machine learning and AI techniques

Experience with tools and technologies such as:

• MS SQL Server
• Tableau
• Python or R
• Git/version control tools
• Excel and analytical tooling

Understanding of:

• Data governance and data quality principles
• Data modelling and analytical datasets
• Working with sensitive healthcare data
• Healthcare operational analytics

Leadership Competencies
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

• High-quality analytical insight supporting operational and clinical decision-making
• Predictive and analytical models delivering measurable service improvements
• Reliable and accessible dashboards and reporting solutions
• Improved understanding of patient journeys and service performance
• Strong collaboration between data, clinical, product, and operational teams
• Increased adoption of data-driven decision making across the organisation
• Increased adoption of data-driven decision making across the organisation

🙏🏻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’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

• Competitive salary
• Hybrid working
• 25 days annual leave (plus UK public holidays)
• Team get-togethers
• A paid day off on your birthday
• Office equipment when you join
• £500 stipend to set up your home office*
• Pension contribution
• Be part of one of the UK’s most ambitious HealthTech start-ups

🗓️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’re a great fit but don’t meet every single requirement, we encourage you to apply!

At Care ADHD, we’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.

The Purpose

As a Data Scientist at OQC, you'll help accelerate the development of next-generation quantum hardware through data-driven insight, predictive modelling, and simulation. Working at the intersection of science, engineering, and software, you'll transform complex datasets into actionable intelligence that shapes critical hardware decisions and drives technological progress.

The Role

We're looking for a Data Scientist to develop predictive models, analyse complex engineering datasets, and build the software tooling that enables informed decision-making across our hardware programmes. You'll collaborate closely with hardware, measurement, and software engineers to improve performance, optimise designs, and support the development of future quantum technologies.

What You'll Be Working On

• Develop and optimise predictive models to support hardware design, specification, and engineering decision-making.
• Analyse large, multi-parameter datasets to identify trends, quantify performance, and generate actionable insights.
• Build, maintain, and improve software tools for data analysis, modelling, and simulation.
• Apply software engineering best practices including version control, testing, code reviews, and documentation.
• Collaborate with multidisciplinary engineering teams to define requirements and solve complex technical challenges.
• Create clear visualisations, technical reports, and documentation to communicate findings and recommendations.
• Identify opportunities to improve analytical workflows, modelling approaches, and data-driven processes across the business.

What We're Looking For

• Bachelor's degree in Applied Mathematics, Statistics, Physics, Engineering, Computer Science, or a related discipline (or equivalent practical experience).
• Experience applying statistical analysis and predictive modelling techniques to solve complex technical or business problems.
• Proven ability to independently deliver data science projects or workstreams.
• Experience developing software or analytical tools that support data-driven decision-making.
• Strong experience working with large-scale datasets and data management infrastructures.
• Strong proficiency in Python and scientific computing libraries including NumPy, SciPy, Pandas, and data visualisation tools.
• Solid understanding of numerical methods, probability, and statistics.
• Familiarity with machine learning techniques and large-scale data analysis.
• Understanding of software engineering best practices including Git, code review, automated testing, and CI/CD.
• Experience working with databases and object/blob storage technologies.
• Strong communication skills with the ability to collaborate effectively across technical disciplines.
• Understanding of data governance principles and best practices.

The 'Nice-to-Haves'

• Postgraduate qualification in a relevant scientific, engineering, mathematical, or computing discipline.
• Experience with scientific or systems modelling, including engineering, thermal, electromagnetic, or materials domains.
• Experience with machine learning or deep learning frameworks.
• Experience working within Agile software development environments.
• Experience implementing automated testing frameworks or test-driven development practices.
• Experience mentoring colleagues and engaging with a broad range of technical stakeholders.
• Exposure to quantum technologies, radio-frequency electronics, thermodynamics, or systems engineering environments.
• Ability to communicate complex technical concepts to non-technical audiences.

Why Join OQC

You will join a world-class team at the forefront of the next computational era. We offer a culture of bold innovation, the chance to work with unique lab infrastructure, and the opportunity to see your work redefine the limits of computation.

Learn more about our benefits and positive work culture here: https://oqc.tech/company/careers-at-oqc/

Liberty Global is a world leader in converged broadband, video and mobile communications services. We deliver next-generation products through advanced fiber and 5G networks that connect 85 million subscribers across Europe and the United Kingdom. Our businesses operate under some of the best-known consumer brands, including Virgin Media-O2 in the UK, VodafoneZiggo in The Netherlands, Telenet in Belgium, Sunrise UPC in Switzerland, Virgin Media in Ireland and UPC in Eastern Europe. Through our substantial scale and commitment to innovation, we are building Tomorrow’s Connections Today, investing in the infrastructure and platforms that empower our customers to make the most of the digital revolution, while deploying the advanced technologies that nations and economies need to thrive.

Our consolidated businesses generate annual revenue of more than $7 billion, while our joint ventures new in the U.K. and the Netherlands generate combined annual revenue of more than $17 billion.

Liberty Global Ventures, our global investment arm, has a portfolio of more than 50 companies across content, technology and infrastructure, including strategic stakes in companies like Plume, ITV, Lions Gate, Univision, the Formula E racing series and several regional sports networks.

JOB PURPOSE

Apply advanced data science, machine learning, AI/Gen-AI, and predictive analytics to drive technology decisions. Your work will support due diligence, market analysis, competitive intelligence, and strategic roadmap development through sophisticated modelling, performance analysis, and forecasting.

KEY ACCOUNTABILITIES

Data Analytics & Strategic Insights

AI-Powered Technology Analysis & Innovation

KNOWLEDGE & EXPERIENCE

Essential:

Highly Desirable:

Benefits

* Liberty Global is an equal opportunity employer. We embrace diversity and are committed to creating an inclusive environment for our people.

Pre-Employment Screening:
If your application is successful, your personal data may be used for a pre-employment screening check, which will be performed by a 3rd party provider (Certn), on behalf of Liberty Global. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, qualifications, contract information, right to work, and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.

You can read more about how we process your data here , and If you wish to exercise your privacy rights please contact:

You'll do two things. First, help build the data foundation: bringing together public and commercial datasets and resolving them to individual buildings. Second — and increasingly over time — use that data to understand the true risk of each building and turn it into pricing, risk selection and insight we give back to clients.

Initially, this is a three month role with the potential to become full time.

This is a rare chance to own foundational work from day one at an early-stage company, with real scope to shape both the data and the models built on it.

What you'll do

• Help build and maintain the digital twin — ingesting, cleaning, matching and enriching building-level data from multiple sources.
• Work with UK datasets including Ordnance Survey (e.g. AddressBase, building footprints), Land Registry, EPC records, planning data, flood and other peril data, and commercial sources.
• Solve entity resolution — reliably matching records across datasets to the right physical building and address.
• Analyse and model risk at building level — identifying the features that actually drive claims and turning them into signals for pricing and underwriting.
• Build, test and validate models, and clearly communicate what they do and don't tell us.
• Work with large databases and keep them accurate and performant as they grow.
• Help define what "good" looks like — data quality, coverage, model performance — and build the checks to enforce it.

Why join

• Real ownership — you'll shape a core company asset and the models built on it, not maintain someone else's legacy system.
• Equity — share in what we're building.
• Direct impact — your work shapes how we price risk and what we tell clients.
• Learn fast — work directly with the founder and a small, senior team.