• 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.

EveryMatrix is seeking a highly skilled Data Scientist with expertise in CRM and customer behaviour analysis to join our CRM Data Science team. You will play a crucial role in analysing customer behaviour on our gambling platforms, providing insights and building features that will drive our business strategies and enhance customer engagement.

Key Responsibilities:

• Analyse large datasets to uncover patterns and insights related to customer behavior.

• Develop predictive models to forecast customer activities and trends.

• Collaborate with cross-functional teams to implement data-driven strategies.

• Define and track key performance indicators (KPIs).

• Utilise machine learning techniques to optimize CRM strategies, especially related to automated campaign optimisation.

• Communicate findings and recommendations to stakeholders in a clear and concise manner.

Requirements:

• Master's or PhD degree in a quantitative field.

• Proven experience of large-scale data analysis and hypothesis testing.

• Strong proficiency in statistical analysis and predictive modelling.

• Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse / data.table), along with SQL.

• Excellent problem-solving skills and attention to detail.

• Strong communication skills with the ability to present complex data insights to non-technical stakeholders.

• Willingness to take ownership of analytics projects and be the engine driving them from ideation phase till bringing out the product to customers, and beyond.

What will make you stand out:

• Experience working in an analytics role in the gambling industry.

• Experience with CRM data analysis and customer segmentation.

• Knowledge of tensorflow / pytorch.

• Expertise in using data visualization tools such as Google Looker and working with Google's BigQuery.

• Experience in design and evaluation of A/B tests.

• Familiarity with Bayesian statistics, especially for hypothesis testing. Extra points for good knowledge of Bayesian programming (PyMC3, etc).

• Experience with application of optimization theory or reinforcement learning based on automated A/B testing.

Projects you might expect to work on:

• Predicting future expected value and future potential value of individual customers.

• Real-time prediction of customer churn.

• Building multi-level customer segmentation driven by predictive models.

Benefits & Perks:

What we offer:

• 2 additional days of paid leave added each year until your fifth year with us.

• Hybrid work schedule is available after the first three months of employment.

• Monthly meal allowance.

• Gym allowance.

• Private Healthcare

• Access online learning platforms like Udemy for Business and LinkedIn Learning, and a budget for external training.

• Benefit from two Free Fridays each year, limited to one per quarter.

• Support for New Parents:

- 52 weeks of maternity leave, with 21 weeks being fully paid

- 4 weeks of paternity leave, plus the flexibility to work from home full-time until your child is 13 weeks old.

At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference! EveryMatrix is a member of the World Lottery Association (WLA) and European Lotteries Association. In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification. EveryMatrix is proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions.

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.

:

As a Data Scientist, you will work closely with clients and cross functional teams to define project scope, ensure technical feasibility, and drive delivery excellence.

You’ll design and deliver bespoke data science solutions, shaping the technical direction of high-impact projects and solidifying our reputation as a leader in practical, measurable AI.

What you'll be doing:

Mapping the end-to-end data science approach and designing the associated software architecture for projects

Driving the technical scoping and feasibility assessment of new projects

Building strong client relationships by acting as a technical advisor and shaping the direction of current and future engagements

Delivering bespoke algorithms and scalable software solutions that adhere to best practices for high-stakes decision-making

Setting the technical bar for the project team, ensuring the highest standards of code, rigour, and delivery quality (IC leadership)

Contributing to Faculty's thought leadership and reputation through teaching, public speaking, or open-source projects

Who we're looking for:

You have proven experience in a professional data science or quantitative academic role, underpinned by high mathematical and statistical competence.

You are a strong Python programmer, proficient in essential libraries (NumPy, Pandas) and a deep-learning framework (TensorFlow/PyTorch).

You possess a solid grasp of core data science techniques (supervised/unsupervised learning, time-series, NLP, model validation) and the ability to innovate new algorithms.

You apply a rigorous scientific and entrepreneurial mindset, translating complex business problems into a mathematical framework and measuring model impact upon deployment.

You are an exceptional communicator, adept at translating complex technical solutions into persuasive, actionable insights for senior and non-technical audiences.

You contribute to team success by project planning, assessing technical feasibility, estimating delivery timelines, and achieving measurable outcomes.

Our Interview Process

Talent Team Screen (30 minutes)

Take Home Technical Assessment

Technical Interview (90 minutes)

Commercial Interview (60 minutes)

Our Recruitment Ethos

We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.

Some of our standout benefits:

Unlimited Annual Leave Policy

Private healthcare and dental

Enhanced parental leave

Family-Friendly Flexibility & Flexible working

Sanctus Coaching

Hybrid Working

If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

The rapid pace of change within fintech creates exciting opportunities to apply advanced analytics, machine learning, and experimentation to real business challenges. As a Data Scientist, you will play a key role in helping Kroo use data more effectively across a wide range of business areas, partnering with teams across Product, Risk, Operations, Compliance, and Engineering.

This role is responsible for building, evaluating, and deploying data science solutions that support strategic decision making and improve customer experiences. You will work on high impact initiatives across areas such as credit risk, fraud prevention, customer engagement, and operational efficiency, helping the business make informed decisions through robust analysis, experimentation, and modelling.

How you'll contribute:

Requirements

Required skills and behaviours:

Benefits

Hybrid Working

At Kroo Bank, we have a hybrid/ flexible policy that gives both individuals and teams a lot of freedom when it comes to using the office space to boost productivity. Our London office is a great resource to collaborate and candidates should be able to attend 1-2 days per week regularly to align with how we work at the moment.

Diversity and Inclusion

We wholeheartedly uphold our commitment to fostering a diverse and inclusive workplace. Every employee is highly regarded, respected, and supported without any form of judgement or prejudice. We consider Diversity, Equality, and Inclusion as fundamental pillars guiding our path in all aspects of our bank. We also ensure that reasonable adjustments are made available to all candidates throughout the recruitment process.

To all Recruitment Agencies

At Kroo Bank, agency resumes are strictly prohibited. Do not submit agency resumes or forward them to our job advertisements or Kroo Bank employees. Be aware that Kroo Bank will not assume any responsibility for fees incurred due to unsolicited resumes.

To ensure a fair and efficient application process, all candidates are kindly requested to submit their applications directly through the advertised platform. We kindly ask that you refrain from reaching out to the company or its employees via email, LinkedIn, or any other communication channels for inquiries or updates. Please note that any attempts to contact us through these channels will not receive a response. Thank you for your understanding and cooperation.

Role: Data Scientist / Engineer

Location: Remote / London - up to 1 day per week on-site

Duration: 5 Months

Day rate: £560 Inside IR35

Role Overview

We are seeking an experienced Data Scientist with strong Data Engineering capabilities to support the Digital Screening programme. This role will play a key part in shaping a new digital screening service by leading exploratory analysis and supporting the development of high-quality dashboards and reporting products.

You will work within a multidisciplinary Agile team, collaborating with Data Engineers, Analysts, and User-Centred Design (UCD) professionals to deliver robust, data-driven insights and scalable data solutions.

Key Responsibilities

Essential Skills & Experience

Desirable Skills

• Full-time Data Scientist
• Build and deploy cutting-edge AI and ML solutions for diverse clients (from Government to Startups).
• Gain full-stack delivery experience across an array of industries while benefiting from investment in your professional growth and expertise.

Working at Coefficient

You'll be involved in a wide variety of projects, from cutting-edge AI solutions for the UK government to building transformative tools across a range of industries. This isn't just a standard Data Science position; you will gain hands-on experience by delivering end-to-end data science and engineering solutions for our clients, alongside building and improving our own internal products.

You can also expect plenty of mentoring and guidance along the way: we aim to be best-in-class at what we do, and we want to work with people who share that same attitude.

As a unique and fast-growing consultancy, this is an excellent opportunity to make a significant impact and shape our future success.

🚀 About Coefficient

Coefficient is a full-stack data consultancy dedicated to helping organisations solve their toughest challenges using data science, software engineering, machine learning, analytics, and artificial intelligence.

• 🔧Consulting & Delivery: We partner with clients to deliver end-to-end solutions, combining statistical expertise with agile delivery. This might involve developing cutting-edge models for a UK government agency, or working as an in-house team with a fast-growing tech start-up.
• 🎓 Training: Beyond consulting, we create and deliver tailored training programmes via workshops, online learning, and hybrid curricula to help our clients build their own internal skills. Past clients include BNP Paribas, EY, Hawk-Eye, the BBC, ACCA, CIOT, and the Metropolitan Police.

We enjoy variety in our work. One week, you might be developing high-speed trading algorithms; the next, you could be optimising logistics for delivery drivers or building election forecasting models.

👥 Our Team and Culture

Our team is our greatest asset. We invest heavily in professional development through our "10% Time" programme and our annual conference budget. We work with highly intelligent and passionate people who take pride in their work and enjoy a high level of independence.

🤖 Agentic Coding is Core to How We Work

We're unapologetically pro AI-assisted development. We expect our Data Scientists to be genuinely good at agentic coding — using tools like Claude Code, Cursor, GitHub Copilot, Windsurf and Codex to deliver faster without ever compromising on quality.

We treat this as a genuine, emerging discipline. Knowing how to specify work clearly, drive an agent through a task, and critically review and correct "almost-right" output is a real skill in itself — and one we actively invest in mastering. If you're already running spec-driven or multi-agent workflows, you'll feel right at home; if you're keen to get great at it, we'll help you get there.

Requirements

Our ideal candidate would:

• Be fluent in Python and SQL for data analysis, data science and machine learning, and comfortable across the Python Open Data Science Stack (pandas, NumPy, scikit-learn, matplotlib, Seaborn).
• Have hands-on experience with at least one LLM application pattern — Retrieval-Augmented Generation (RAG), fine-tuning, or building LLM evaluation suites — and care about measuring quality (hallucination/faithfulness, LLM-as-judge) rather than shipping on vibes.
• Be comfortable with the building blocks of modern AI systems: embeddings and vector databases, prompt engineering, and working with frontier model APIs (OpenAI, Anthropic, Google).
• Think about getting models into production — versioning, monitoring and iterating (MLOps / LLMOps), not just notebooks.
• Be excellent at agentic coding — comfortable driving tools like Claude Code, Cursor and GitHub Copilot, and skilled at reviewing and correcting their output (see "🤖 Agentic Coding is Core to How We Work" above).
• Enjoy sharing knowledge, experience, and passion with others, and have great communication skills — you'll write and contribute towards presentation slide decks to showcase our work during sprint reviews and client project demos.

We recognise that diverse teams are the most successful teams, and we know some people are less likely to apply for the role unless they are 100% qualified. Please do not worry if you don’t meet every single requirement listed.

We strongly encourage you to apply if this role excites you and you believe you have the potential to grow here. If you are unsure, please reach out to us - we would genuinely love to hear from you. We are committed to fostering a diverse, inclusive, and empowering culture at Coefficient.

📍 Location and Eligibility Requirements

This is a UK-based, hybrid role.

While we operate remotely for most of the month, we value in-person collaboration and regularly gather the whole team. The successful candidate must be able to travel to London for on-site work approximately 2-4 days per month.

• Eligibility: You must already have the right to work in the UK.
• Visa Sponsorship: Please note, we are unable to offer sponsorship for a Skilled Worker visa for this position.
• Students: We are unable to consider applications from candidates currently in full-time education (including PhD students).

The Basics

📍 Location: We are based in Central London, but we are remote-friendly. You may be required to work on-site at clients’ offices.

💰 Salary: £38,000 annual salary with a meaningful uplift following a performance review at the successful 3-month probation mark.

🏖 Holiday: 33 days of annual paid holiday, including bank holidays.

💷 Pension: We're set up with Smart Pension to make sure we're contributing to help you save for retirement.

📈 Performance Reviews: Regular check-ins to ensure you’re progressing in your career and maximising your potential.

🚀 Opportunity: To be part of a unique and exciting company that prizes excellence of work. You will work closely with the CEO and become part of a dedicated and forward-thinking team. We want you to push yourself to learn new skills and be recognised as one of the best in your field.

♻️ Commitment: We were one of the first 80 signatories of TechZero. We are committed to challenging the status quo and are always looking for ways to make a positive impact.Our ideal candidate would:

• Be fluent in Python and SQL for data analysis, data science and machine learning, and comfortable across the Python Open Data Science Stack (pandas, NumPy, scikit-learn, matplotlib, Seaborn).
• Have hands-on experience with at least one LLM application pattern — Retrieval-Augmented Generation (RAG), fine-tuning, or building LLM evaluation suites — and care about measuring quality (hallucination/faithfulness, LLM-as-judge) rather than shipping on vibes.
• Be comfortable with the building blocks of modern AI systems: embeddings and vector databases, prompt engineering, and working with frontier model APIs (OpenAI, Anthropic, Google).
• Think about getting models into production — versioning, monitoring and iterating (MLOps / LLMOps), not just notebooks.
• Be excellent at agentic coding — comfortable driving tools like Claude Code, Cursor and GitHub Copilot, and skilled at reviewing and correcting their output (see "🤖 Agentic Coding is Core to How We Work" above).
• Enjoy sharing knowledge, experience, and passion with others, and have great communication skills — you'll write and contribute towards presentation slide decks to showcase our work during sprint reviews and client project demos.

Benefits

💸 Co-working Spaces: Regular co-working days at different locations in London with the team plus full access to the Hubble co-working network at all times to use a space near where you live.

🎓 Learning and Professional Development: Potential to improve skills through paid courses and subscriptions. We encourage all our team to engage with professional communities, we actively sponsor PyData Meetups and Humble Data, and we provide additional support for anyone wishing to speak at meetups/conferences.

🎟️ Conference Budget: £1000 per employee in year 1, rising to £2000 by year 3. This can help cover tickets, accommodation, and travel to attend relevant conferences.

👂 Spill: All-in-one mental health support programme with on-demand access to a variety of support. We cover 8 hours of therapy with a remote therapist for each team member every year, worth up to £520. 

🧠 Headspace: Paid membership to Headspace to encourage good daily mental practices.

📚 10% Time: 4 hours per week dedicated to improving skills or pursuing your own project.

💻 Laptop & Peripherals: Company-owned Apple laptop plus peripherals such as a monitor and keyboard, for making remote working both comfortable and safe.

💃 Team Culture: We have a fantastic small team who enjoy socials together - everything from guided walking tours to escape rooms to Bake Off experiences.

📋 What to expect from the hiring process:

We aim for a transparent, efficient, and enjoyable hiring process. Here is what you can expect:

• Round 1: Application Screening
  • We review your application materials (CV, screening questions, and code samples) to assess the initial match.
  • Note: Your application must include answers to the screening questions and code samples to proceed beyond this stage.
• Round 2: One-Way Video Interview (Non-Technical)
  • This is designed for us to get a better sense of your interests and personality outside of your technical skills.
• Round 3: Practical Coding Exercise (1 hour)
  • You will be booked for a 1-hour slot to complete a coding test. This exercise is carefully designed to mirror the practical, real-world data tasks you can expect to do at Coefficient.
• Round 4: Technical Interview (1 hour)
  • You will meet with a member of our Data Team for a deep dive into the technical skills required for the role. Expect a collaborative session, including pair programming, to see how you approach problems in a team environment.
• Round 5: Final Conversation with the CEO
  • This is an opportunity to discuss your motivations, long-term career goals, and ensure a strong cultural alignment. We want to know that you'll be a great fit for our team, but we also want to help you achieve your goals.

 ⏱️ Our Commitment to You

• Speed: We are committed to moving quickly with this role, and you can expect swift feedback after each completed round.
• Feedback Policy: We are unfortunately unable to offer feedback before Round 2. Feedback for subsequent rounds will always be provided if requested.

Please ensure that emails from our hiring platform (Workable) are not being filtered into your spam/junk folder. We want to make sure you receive all correspondence promptly!

Due to a large volume of applications, we are unable to consider applicants without code samples and submitted screening questions.

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

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.