2,934 Lead Data Scientist jobs in the United Kingdom

This range is provided by Mentmore. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

£75,000 per annum

Permanent | Full-Time

We’re working with a leading UK-based law firm that’s investing heavily in digital transformation, innovation, and AI. As part of this, we're recruiting a Lead Product Engineer to help shape and deliver scalable products that sit at the intersection of data science, software engineering, and DevOps.

If you’re a technically curious builder with a track record of delivering software into production - and you're ready to take the lead in a collaborative, fast-paced environment - this could be the ideal next step in your career.

• Lead the development of innovative digital products from concept through to production
• Design and build scalable, containerised software solutions that incorporate data science components
• Make architectural decisions around tooling, frameworks, and development approaches
• Work with DevOps practices including Docker, Terraform, and cloud deployment (Azure preferred)
• Collaborate closely with cross-functional teams including product managers, data scientists, and business stakeholders
• Mentor and support junior engineers, helping to grow technical capability within the team
• Stay up-to-date with developments in data science and AI (e.g., LLMs, agentic AI), and integrate this thinking into product delivery
• Communicate clearly and confidently to both technical and non-technical audiences

Technical Experience

• 5–7 years of professional experience across software engineering, DevOps, or applied data science
• Working knowledge of React (not a frontend role, but an understanding of the stack is important)
• Hands-on experience with containerisation (Docker) and cloud deployment (Terraform, microservices, Azure)
• Exposure to Jupyter notebooks , and understanding of how machine learning models are developed and deployed
• Experience in fast-paced or start-up environments where you’ve contributed across the stack
• Degree in a quantitative or technical field (e.g., Computer Science, Mathematics, Physics, AI)
• Previous experience in data science or BI analytics is beneficial - particularly if you’ve moved into engineering
• Bonus: awareness of modern AI tooling (e.g., LLMs, Hugging Face) and an enthusiasm to apply this in real-world products

Leadership & Soft Skills

• Strong communication and collaboration skills
• Experience mentoring junior team members
• Willingness to step into a leadership role and grow into the function
• Pragmatic decision-maker who can weigh trade-offs and work well with product teams

If you're looking to join a business that's serious about building modern, intelligent software solutions - and want to help define how AI and data products are built in a complex, regulated industry - we’d love to hear from you.

• Mid-Senior level

• Full-time

• Product Management and Information Technology

• Legal Services

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Here’s what you’ll be doing:

As a Staff Data Scientist you will be part of a team, that is bringing AI and Data Science into the forefront of SB. We are looking to unify our technical vision and are looking for an experienced, technical but pragmatic Staff Data Scientist to enable our wider team to deliver value, quickly.

The role will report into Josh Dawson our Head of Analytics and Data Science, and sit alongside our talented Data Science team

• work closely with cross-functional development teams to build, test and maximise the value of a suite of models ranging use cases from LLM’s to propensity, classification and regression models
• contribute to End to end development and deployment of ML and AI models
• have the ability to define best practice for a team of highly talented and experienced Data Scientists
• have the opportunity to work with stakeholders in a high-pace, agile environment which encourages autonomy and growth.
• simply, this role will have autonomy to create best practices for the technical side of Data Science here at SB and in partnership with multiple stakeholders drive value into SB

• extraordinary with 7+ years of experience as a Data Scientist/ML Engineer, working on classic ML and Data Science problems as well as Generative AI
• someone who sees Data Science as a product, not just as a series of models
• is adept and passionate about all forms of technology, particularly versed in deployment and software engineering principles
• proud to have deployed many realtime models
• in reality, we want someone to come in and help us build the future of ML/AI here at SB, both hands on and training our bigger organisation to make the most out of Real time modelling

(We know it’s tough, but please try to avoid the confidence gap. You don’t have to match all the bullet points above to be considered for this role.)

We encourage people of all different backgrounds and identities to apply. We are committed to maintaining an inclusive, supportive place for you to be you and do your very best work.

This is more than just a job; it's a chance to be at the forefront of AI innovation, to lead and mentor a brilliant team, and to leave your indelible mark on a rapidly evolving landscape. If you're a Lead Data Scientist who thrives on challenging the status quo, building impactful products, and shaping technical excellence, then we want to hear from you. Join us at SB and let's redefine what's possible with data. Apply today.

About Simply Business

We insure small businesses and enable big dreams – not just for our customers, but for our people and communities too. With over 1,000,000 active insurance policies, we protect builders, bakers, landlords and more than 1,200 other trades.

We’re a technology company as well as one that sells insurance. That means we build, we fail, we learn and we improve. We’re a B Corp too, which recognises our strong track record of having a positive impact on people, society and the environment.

Why not check out our advert on YouTube: Simply Business TV advert 2024 : 'Simply the Best'

What are the benefits of working at Simply Business?

We offer a great work-life balance where every team member has a manageable workload and the flexibility to work hybrid.

On top of the 25 days annual leave (plus bank holidays), we offer leave that suits your needs. Plus the option to buy five more days of holiday with your flexible benefits.

Our flexible parental leave allows you to approach an important time how you want – with six months full pay to the primary caregiver and four weeks full pay if you’re the secondary caregiver.

Our life event leave is an extra days leave every two years for those big moments in your life like moving house or your birthday. And as a thank you to our long-serving employees we offer a two week paid sabbatical after five years of service, then four weeks off after ten years of service.

And our core benefits can put your mind at ease with private medical insurance through BUPA, that covers any pre-existing condition. And a health cash plan that covers your everyday medical expenses.

We also make sure you’re compensated fairly with a competitive salar y based on your experience and the market we’re in. Plus the potential to earn an annual bonus based on performance.

There’s access to the tools to support your personal development with programmes on our dedicated learning platform . As well as support for your mental health with access to counselling.

We’ll match what you put into your pension up to five per cent . And pass on a tax-free sum that’s four times your basic salary with our life assurance policy , with the option to increase it to ten times through our flexible benefit scheme

Our salary sacrifice car scheme gives you the option to buy a brand new, fully insured, and maintained car for a convenient fixed monthly amount taken from your gross salary (after 6 months service).

And our flexible benefits scheme gives you an allocated amount to use each year on benefits like critical illness cover, dental insurance, travel insurance, or a gym membership.

Ready to join us and drive our success as a high-performing team? Apply today.

Get AI-powered advice on this job and more exclusive features.

We’re on a mission to make money work for everyone.

We’re waving goodbye to the complicated and confusing ways of traditional banking.

After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts, accounts for 16-17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions with us.

With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers!

We’re not about selling products - we want to solve problems and change lives through Monzo ️

Hear from our UK team about what it's like working at Monzo

London | UK remote | £95,000 to £15,000 + Stock Options + Benefits| Technology - Data

About Our Data Science Teams

We're looking for a Lead Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2025 and help us to build a bank that customers truly love.

At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over 11 million customers in the UK. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.

Enable Monzo to Make Better Decisions, Faster

We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.

How We Hire

We are excited to be expanding and are hiring for multiple roles across our Data Science teams! Whether your interests lie in Borrowing, Growth, Payments, Fincrime, Wealth, or Core, we are looking for talented individuals with a versatile skill set to contribute across our squads. While we allocate teams after the interview process, we aim to match your skills and aspirations with the most suitable role. Throughout the process, you will meet team members from across our Data Science collectives, who will guide you through the opportunities available. Join us and be part of shaping our future!

What You’ll Be Working On

• Lead the data strategy and continue to evolve Monzo for our customers to make it magically simple to manage money day-to-day
• Develop and execute best practices for experimentation enabling our team to make data informed decisions
• Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices.
• Work closely with leaders in product, engineering, design and research to build and iterate on product ideas
  
  

• You enjoy working with cross functional fast moving teams
• You are able to think strategically about commercial products and how decisions using data can unlock more value for our customers
• You are excited about mentoring other data scientists and analytics engineers
• You are excited by experimentation and utilising new data techniques to solve challenging problems
• You want to understand the nuances of our data and are excited about laying the key foundational knowledge for our new products and features
• You are opinionated about how to think about measuring success and are willing to challenge the status quo
  
  

• Recruiter Call
• Initial Call
• Technical assessment
• Final Interviews
• Business Fit/Collaboration
• Case Study
• Technical Interview
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Banking

Referrals increase your chances of interviewing at Monzo Bank by 2x

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Data Idols is working with a leading logistics company that’s reshaping how operations, data, and technology come together. As part of their growth, they’re hiring a Data Scientist to join the Routing & Optimisation team, working on complex decision problems that drive real-world efficiencies.

This is an opportunity to be part of a high-impact, production-focused environment where data science meets operational excellence.

Working closely with the Head of Routing & Optimisation, you’ll design and develop scalable algorithms , heuristics , and ML/optimisation models that tackle some of the most critical challenges in logistics, from routing and pricing to planning and forecasting.

You’ll collaborate cross-functionally with product and tech teams to bring models into production, writing production-ready code and delivering end-to-end solutions.

• Hybrid working
• 25 days holiday + bank holidays, plus Christmas Eve off
• Private medical cover , enhanced sick pay, and in-house gym
• Free breakfast , barista coffee, and Thursday social drinks
• Pension scheme with employer contributions
• Enhanced maternity leave
• Travel perks including Cycle to Work and EV scheme
• Be part of a high-growth tech-led logistics company that values innovation and impact

• Experience building optimisation or ML models in logistics , transport , or consulting
• Expertise in Mixed Integer Programming, heuristics, approximate algorithms, constraint programming, or ML/DL
• Hands-on with Python and SQL
• Domain knowledge in areas like routing, pricing, forecasting, or procurement planning
• Excellent communication skills
• Comfortable working in agile teams with a fast-delivery mindset
• A proactive mindset with a bias for action and alignment with values like collaboration, curiosity, and getting things done

If you’re a data scientist who thrives on complex decision-making problems and wants to make a tangible impact in a fast-moving, tech-led logistics business, we’d love to hear from you.

Click Apply to send your CV and start the conversation

A leading multinational retailer is seeking a Lead Data Scientist to join their office in Central London.

Your role will be to help shape and expand a highly analytical team of Data Scientists that are focused on delivering a better understanding and insight of the business based on data. The core work involves integrating and analysing the business and external data sources, building models that learn from these data, and providing tools that allow the business to make decisions from these models.

This is a key role within the business and you will be responsible for:
– Managing a team of Data Scientists
– Setting the strategy and direction the team should take
– Translate ambiguous business challenges into data science problems and applications
– Communicate complex solutions in a clear, understandable way to non-experts
– Promote Data Science across the business

ISL (Rec.)

To be considered for this Lead Data Scientist role you will need to have:
– A Masters or PhD in a relevant discipline such as Computer Science, Statistics, Applied Mathematics, or Engineering
– Strong experience with Python and R
– A strong understanding of a number of the tools across the Hadoop ecosystem such as Spark, Hive, Impala & Pig
– An expertise in at least one specific data science area such as text mining, recommender systems, pattern recognition or regression models
– Previous experience in leading a team, ideally of Data Scientists

Master Degree

Please mention NLP People as a source when applying

Tagged as: Industry , Master Degree , NLP , Pattern Recognition , Recommendation System , United Kingdom

About us

CF is a leading consultancy dedicated to making a lasting impact on health and healthcare. We work with leaders and frontline teams to improve health, transform healthcare, embed life science innovation and boost growth through investment. Our consultancy serves the entire healthcare sector, from healthcare systems and life sciences to health tech and sector suppliers. CF's multi-disciplinary team provides end-to-end services, spanning strategy, finance, performance, organisational improvement, data and digital. We also create optimal policy conditions for healthcare advancements through evidence-based thought leadership, taking a proactive stance on key issues.

The Lead Data Scientist is a senior technical leader at CF, responsible for driving data science strategy and innovation in line with company goals. The Lead Data Scientist oversees the development and implementation of data-driven solutions that enhance our service offerings and ways of working. They apply evaluation approaches and ensure these solutions deliver quantifiable impact, drive efficiencies and optimise value for money for our clients and for CF. These solutions are required for our clients directly, for the management consulting team to leverage in their client service delivery, and for the corporate operations of the business. The Lead Data Scientist collaborates with clients, CF team members (both technical and non-technical), and partner organisations to understand requirements and develop highly effective solutions.

The Lead Data Scientist leads and manages technical components of blended projects, offering oversight, mentorship, and quality assurance to junior employees in the Data Innovation team. They proactively identify and solve challenges in client projects and corporate initiatives while supporting business development efforts relating to technical services. The Lead Data Scientist also contributes to proposal development, technical bid writing, and resource planning to drive business growth.

Being agile and unfazed by rapidly evolving and emerging priorities will be critical in this role as will being open to new ideas and entrepreneurial to enable CF to grow and capitalise on new opportunities.

As a senior member of the CF team, clear communication and strong interpersonal skills are essential, role modelling the leadership behaviours we are committed to at every level of the company. When working with colleagues in CF, clients, suppliers, and people seeking to engage CF, professionalism, kindness, diplomacy and professionalism are essential qualities.

The responsibilities and duties of the role will include, but are not limited to:

Data Strategy and Innovation

• Work with the Data Innovation Team to develop and implement data science solutions that align with CF's corporate strategy.
• Identify and apply emerging technologies, such as AI and machine learning, to enhance our consulting services and drive business growth.
• Collaborate with clients to understand their data challenges and develop innovative solutions to address their needs.
• Stay ahead of healthcare sector trends and leverage data to provide insights that support strategic decision-making.

Technical Development and Implementation

• Develop and deploy advanced analytics models, including machine learning algorithms and statistical techniques, to solve complex healthcare challenges.
• Ensure the robustness, scalability, and accuracy of data models and solutions.
• Work with data engineers to design and maintain scalable data pipelines and infrastructure.
• Develop and maintain data visualisation tools to communicate insights effectively to non-technical stakeholders.

Business Development

• Support business development activities by providing data-driven insights and contributing to proposals and client pitches.
• Work with Partners and consultants to identify opportunities where data science can add value to our clients.
• Develop and maintain relationships with key stakeholders, including clients and industry partners, to advance CF's data capabilities.

Data Operations and Governance

• Ensure compliance with data governance policies and industry regulations, including GDPR and healthcare-specific standards.
• Contribute to the development and maintenance of data management processes and best practices.
• Work alongside information governance teams to ensure safe and ethical use of healthcare data.

Team Collaboration and Knowledge Sharing

• Collaborate with consulting and technical teams to integrate data science into client projects effectively.
• Provide mentorship and guidance to junior data scientists, fostering a culture of continuous learning and improvement.
• Share knowledge and insights across CF through presentations, workshops, and thought leadership initiatives.

To be successful in this role, you should have a combination of the following skills and experiences:

Mandatory expereince:

• Experience of containerisation and cloud deployment of models and software
• Knowledge and understanding of data privacy issues and requirements to enable data access
• Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team
• You actively share your knowledge and seek opportunities to teach others
• Able to translate business problems into technical solutions and synthesise outputs in client friendly language and visualisations
• Proficient in Python and an excellent command of the standard algorithmic and statistical toolkit for data science
• The knowledge of when to deploy a particular approach give the constraints of time, data, team and technical complexity
• Experience using cloud services and containerisation
• Proficiency using relational database systems
• Excellent understanding of statistics

Preferred:

• Experience working in healthcare or life sciences consulting
• Familiarity with healthcare data sources, standards, and regulatory requirements
• Knowledge of natural language processing and AI techniques
• Experience with big data technologies and frameworks

We follow a hybrid working model that balances in person connections and remote work to drive exceptional client impact. We enjoy working in person together with clients and colleagues and work where clients need us to be.

In supporting flexibility and remote working, team members can work from home one day per week as standard. Additionally, we offer 44 remote working days per year which can be used to top up your working from home days and enable you to work from home up to two days per week-subject to client needs. Alternatively, you could use your allowance in blocks to manage school holidays or other commitments. Our core in person working hours are from 10am until 4pm allowing you that extra flexibility to manage your schedule in a way that works for you.

We are committed to building an inclusive and supportive culture where diversity thrives, and all our people can excel. We only recruit, promote, and reward our people based on their skills and contributions, without regard to gender, race, disability, religion, nationality, ethnicity, sexual orientation, age, marital status, or other characteristics.

We are Disability Confident Accredited, and we want you to feel comfortable and able to perform at your best during the recruitment process. If you require any reasonable adjustments, please let us know.

• Holiday entitlement: 25 days/year for staff and 30 days/ year for leadership increasing by 1 day for every year of service up to a maximum of 35 days of holiday per year

• We contribute 7% of your salary into your pension, while you contribute 3% (or more if you like)
• Access to a flexible benefits programme giving you the chance to increase pension contributions, gain access to a cash plan or benefit from a ClassPass subscription
• Annual leave purchase: employees with less than 35 days annual leave entitlement are able to purchase additional annual leave days
• Income protection: in the event of long-term incapacity and a qualifying claim, 75% of salary will be paid
• Enhanced sick pay benefit beyond Statutory Sick Pay for up to a total 12 weeks in any 12-month period
• Life insurance covering four times your basic salary in a tax-free lump sum payable to your beneficiaries in the event of your death whilst in service
• Enhanced family leave policies: additional pay for parents who have a baby or adopt
• Access to an interest free loan of up to £10,000
• Access to an interest-free season ticket loan, repayable by 12 monthly instalments
• Workplace nursery scheme: access to a scheme to help working parents save tax and NI on the cost of the nursery care
• Flexible working policy: including the ability to work fully remotely for up to 4 weeks a year
• An employee assistance and wellness Program: including access to telephone counselling, life coaching, interactive tools online and digital content downloadable from Lifeworks
• Seasonal flu jabs: provided by Boots annually
• Eye care tests: vouchers and discounts at Vision Express
• Ride to work scheme, saving up to 42% on bikes and cycling accessories at Evans Cycles
• Membership to the Health Service Journal (HSJ)

About Faculty

At Faculty, we transform organisational performance through safe, impactful and human-centric AI.

With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme.

Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI.

Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.

About the role

This is an exciting opportunity to join Faculty as the most senior data scientist in its recently formed Professional and Financial Services Team. As the Lead Data Scientist, you’ll have an opportunity to shape a technical vision and guide the senior and junior data scientists on your team. Working collaboratively, you will oversee project teams that deliver high-impact AI solutions that are differentiated and compelling. You will also lead project teams delivering enterprise-scale applications for a range of clients, including major banks, asset managers, insurers, law firms, and B2B services.

Maintaining ownership of the data science approach, you will own the technical vision for your projects, partner directly with clients to shape strategy, and play a crucial part in mentoring the next generation of data science talent at Faculty.

What you'll be doing

• Project Leadership:

  • Guide the technical delivery of custom data science solutions for clients, from initial discovery to deployment in production

  • Own the end-to-end data science approach, designing and implementing the appropriate techniques - from classic to AI agents using LLMs - that are designed, optimised and applied at scale

  • Design robust and scalable software architecture for the solutions you build, ensuring best practices in engineering and MLOps are followed.

  • Partner with our commercial team and clients to build strong relationships, acting as a trusted technical advisor.

  • Articulate intricate technical concepts and strategic decisions clearly and effectively to diverse audiences, from client-side engineers to C-suite executives.

• Team Mentorship:

  • Formally manage and mentor a number of data scientists, taking responsibility for their career progression and professional growth.

  • Provide targeted technical support and learning opportunities for data scientists on your project teams.

  • Contribute to sustaining our culture, creating an atmosphere of collaboration and setting a high standard for performance and technical excellence.

• Technical Leadership

  • Establish a distinct and differentiated data science vision for professional and financial services, and communicate that vision through external thought leadership and in potential client presentations.

  • Partner with our commercial team to ensure potential projects and programmes of work are appropriately resourced, balancing client delivery, colleague wellbeing, and commercial imperatives.

  • Keep abreast of the latest technical and technology advancements, share these with others in the organisation, and identify how they can help drive Faculty forward.

Who we're looking for

• You have deep technical expertise in machine learning and a command of diverse methodologies, with a solid grasp of data science and statistical techniques, for example: supervised/unsupervised machine learning, model cross-validation, Bayesian inference, and time-series analysis

• An excellent proficiency of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch)

• Demonstrable experience enabling impactful change with AI within a financial services institution. Coupling that with prior experience in consulting would be a bonus.

• You possess proven experience leading data science projects and making key decisions on technical direction and architecture.

• You are an exceptional communicator, capable of building rapport with clients and translating complex ideas into clear, actionable insights.

• You have a strategic mindset, with a grasp on key financial services sector trends that informs a compelling technical vision.

• You are passionate about developing people and have experience mentoring or managing other technical professionals.

• You are motivated to contribute to the wider data science community. We will actively support you in building your professional profile by speaking at major conferences, delivering courses, or contributing to open-source projects.

The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day.

Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals.

Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

Lendable is on a mission to make consumer finance amazing: faster, cheaper, and friendlier. We're building one of the world’s leading fintech companies and are off to a strong start:

• One of the UK’s newest unicorns with a team of just over 600 people

• Among the fastest-growing tech companies in the UK

• Profitable since 2017

• Backed by top investors including Balderton Capital and Goldman Sachs

• Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot )

So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance . We get money into our customers’ hands in minutes instead of days.

We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes.

1. Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1

2. Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo

3. Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting

About the role

We are excited to be hiring a new Senior Data Scientist for our team! Ideally, this role will suit someone with a proven background in building models in credit, lending, or other areas of financial services. Lendable is the market leader in real rate risk-based pricing, offering consumers transparency and product assurance at the point of application. Data Science sits at the heart of this USP, developing the credit risk models to underwrite loan and credit card products.

You will experiment with the latest machine learning techniques combined with a rich data repository to build and deploy best-in-market risk models.

This role will primarily focus on our UK Cards business, but through team collaboration, you will be exposed to all areas of Lendable. Our team keeps up with the latest advancements in the industry through regular journal clubs.

Our team’s objectives

• The data science team develops proprietary machine learning models combining state-of-the-art techniques with a variety of data sources that inform scorecard development and risk management, optimise marketing and pricing, and improve operations efficiency.

• Research new data sources and unstructured data representation.

• Data scientists work across the business in a multidisciplinary capacity to identify issues, translate business problems into data questions, analyse and propose solutions.

• Deliver data services to a wide variety of stakeholders by engineering CLI programs / APIs.

• Design, implement, manage and evaluate experiments of products and services leading to constant innovation and improvement.

How you’ll impact those objectives

• Use your expertise to build and deploy models that contribute to the success of the business

• Stay up to date with the latest advancements in machine learning and proactively propose new approaches and projects that drive innovation.

• Learn the domain of products that Lendable serves, understanding the data that informs strategy and risk modelling.

• Extract, parse, clean and transform data for use in machine learning.

• Clearly communicate results to stakeholders through verbal and written communication.

• Mentor other data scientists and promote best practices throughout the team and business

Key Skills

• Knowledge of machine learning techniques and their respective pros and cons.

• Ability to communicate complex topics clearly and concisely

• Proficiency with creating ML models in Python with experiment tracking tools, such as MLFlow.

• Curiosity, creativity, resourcefulness and a collaborative spirit

• Interest in problems related to the financial services domain - a knowledge of Credit Cards is advantageous

• Confident communicator and contributes effectively within a team environment

• Experience mentoring or leading others

• Self-driven and willing to lead on projects / new initiatives

The interview process

We’re not corporate, so we try our best to get things moving as quickly as possible. For this role, we’d expect:

• A quick phone call with the talent team

• Take home task

• Task debrief and case study interview

• Meet the leadership team

• The opportunity to scale up one of the world’s most successful fintech companies .

• Best-in-class compensation , including equity.

• You can work from home every Monday and Friday if you wish - on the other days, those based in the UK come together IRL at our Shoreditch office in London to be together, build and exchange ideas.

• Enjoy a fully stocked kitchen with everything you need to whip up breakfast, lunch, snacks, and drinks in the office every Tuesday-Thursday.

• We care for our Lendies’ well-being both physically and mentally, so we offer coverage when it comes to private health insurance

• We're an equal-opportunity employer and are looking to make Lendable the most inclusive and open workspace in London

Check out our blog !

Lead Data Scientist - Regulatory Scanning Initiative

This is a unique opportunity to lead a high-impact team, mentor junior talent, and drive innovation in a fast-growing company. You’ll work alongside industry experts, collaborate with cross-functional teams, and have the freedom to explore new technologies and methodologies.

At Vixio, we’re on a mission to revolutionize how businesses manage regulatory obligations through cutting-edge RegTech solutions combined with our human expertise. Join us as our Lead Data Scientist and play a pivotal role in shaping the future of regulatory intelligence.

About the role:

As our Lead Data Scientist , you will play a pivotal role in shaping and delivering data-driven solutions that power our regulatory scanning, analytics, and generative AI capabilities.

You’ll take ownership of complex data science problems end-to-end, from framing business challenges with stakeholders, to deploying production-ready solutions. We’re looking for someone who thrives in fast-moving environments, takes initiative, and delivers measurable results.

Working closely with the Head of Regulatory Scanning and CTO, you will help define the long-term data science strategy, set technical direction, and ensure scalable, best-practice deployment across our products. You will also act as a mentor and coach to junior data scientists and engineers, fostering a culture of experimentation, quality, and continuous improvement.

The ideal candidate will bring:

• Proven expertise in data processing and content generation at scale, particularly within AWS environments.
• A track record of leading teams, influencing stakeholders, and delivering impactful ML and analytics solutions.
• Strong problem-solving skills, with the ability to balance hands-on technical delivery and strategic leadership.
• Proven ability to work across multiple projects simultaneously, adapting quickly to changing priorities and collaborating across teams to ensure timely delivery.
• Comfortable working in ambiguity, defining problems as well as solving them.

Key Responsibilities:

As a high-growth, PE-backed SaaS company, we operate with pace, focus, and accountability. We are looking for someone who is energized by that environment and excited to build data-driven capabilities that support real-world impact at scale.

Data Modeling, Gen-AI and Predictive Analytics

• Design, build and maintain data pipelines for ingesting and processing large volumes of regulatory data from diverse sources, both structured and unstructured.
• Develop models for data categorization and content generation, as well as methods to cluster, store and surface data insights captured.
• Ensure the accuracy, quality, and relevance of data insights captured can be monitored and assessed, refining methods for prioritising based on customer impact.
• Leverage predictive analytics to identify emerging regulatory trends and potential future changes, creating models to forecast the impact of regulatory changes on different industries and jurisdictions

Leadership and Strategy:

• Provide strategic direction and technical guidance for data science initiatives working closely with the Head of Regulatory Scanning.
• Collaborate closely with product, engineering, and compliance teams to translate business needs into data science solutions that are scalable, measurable, and aligned to commercial outcomes.
• Collaborate with product managers, engineers and regulatory analysts to integrate solutions into Vixio’s tech stack.
• Own the lifecycle of solutions, from problem definition through to measurement of business impact.
• Mentor and develop analysts and data scientists, fostering a culture of continuous learning and innovation.

Education and Experience:

• 5+ years experience in Data Science, leading and developing new initiatives to drive transformation and/or efficiency in RegTech, FinTech, or other related industries.
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.

Technical Skills:

• Hands-on proficiency with AWS cloud platform solutions and the challenges and opportunities around ML model management.
• Strong knowledge of SQL and database management, as well as programming languages such as Python, R, or similar.
• Strong experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn) as well as familiarity with data technologies (e.g., Hadoop, Spark).

About Vixio:

Our mission is to empower businesses to efficiently manage and meet their regulatory obligations with our unique combination of human expertise and Regulatory Technology (RegTech) SaaS strategy.

We deliver comprehensive, time-sensitive, and actionable regulatory intelligence across the globe. Today, the Vixio platform surfaces data and information on regulations spanning more than 180 jurisdictions worldwide to remove the risk of non-compliance in the gaming, payments, and financial industries.

We are now in an exciting new chapter of growth as we develop our Regulatory Scanning capabilities to increase operational efficiency, and expand our coverage to multiple industries and jurisdictions.

Hybrid Working (2/3 days in the office)