437 Scientist jobs in London

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.

We are looking for a proficient Data Scientist to help advance AI development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development.

Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of the art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals.

To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become available to you through our platform.

Benefits:

• Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.

• Flexible schedule: choose which projects you take on and when you work.

• Competitive pay: projects are paid hourly, starting at $40+ USD per hour. Opportunities for higher-paying projects are available with strong performance.

• Impact: help shape the future of AI technologies.

Responsibilities:

• Design and solve diverse coding problems used to train AI systems.

• Write clear, high-quality code snippets and detailed explanations.

• Evaluate AI-generated code for accuracy, performance, and clarity.

• Provide feedback that directly shapes the next generation of AI models.

Qualifications:

• Fluency in English (native or bilingual level).

• Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift.

• Excellent writing and grammar skills.

• A bachelor’s degree (completed or in progress).

• Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred.

Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.

Job Description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.

We are looking for a proficient Data Scientist to help advance AI development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development.

Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of the art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals.

To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become available to you through our platform.

Benefits:

• Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.

• Flexible schedule: choose which projects you take on and when you work.

• Competitive pay: projects are paid hourly, starting at $40+ USD per hour. Opportunities for higher-paying projects are available with strong performance.

• Impact: help shape the future of AI technologies.

Responsibilities:

• Design and solve diverse coding problems used to train AI systems.

• Write clear, high-quality code snippets and detailed explanations.

• Evaluate AI-generated code for accuracy, performance, and clarity.

• Provide feedback that directly shapes the next generation of AI models.

Qualifications:

• Fluency in English (native or bilingual level).

• Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift.

• Excellent writing and grammar skills.

• A bachelor’s degree (completed or in progress).

• Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred.

Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.

We are looking for a proficient Data Scientist to help advance AI development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development.

Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of the art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals.

To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become available to you through our platform.

Benefits:

• Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.

• Flexible schedule: choose which projects you take on and when you work.

• Competitive pay: projects are paid hourly, starting at $40+ USD per hour. Opportunities for higher-paying projects are available with strong performance.

• Impact: help shape the future of AI technologies.

Responsibilities:

• Design and solve diverse coding problems used to train AI systems.

• Write clear, high-quality code snippets and detailed explanations.

• Evaluate AI-generated code for accuracy, performance, and clarity.

• Provide feedback that directly shapes the next generation of AI models.

Qualifications:

• Fluency in English (native or bilingual level).

• Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift.

• Excellent writing and grammar skills.

• A bachelor’s degree (completed or in progress).

• Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred.

Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.

We are looking for a proficient Data Scientist to help advance AI development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development.

Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of the art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals.

To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become available to you through our platform.

Benefits:

• Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.

• Flexible schedule: choose which projects you take on and when you work.

• Competitive pay: projects are paid hourly, starting at $40+ USD per hour. Opportunities for higher-paying projects are available with strong performance.

• Impact: help shape the future of AI technologies.

Responsibilities:

• Design and solve diverse coding problems used to train AI systems.

• Write clear, high-quality code snippets and detailed explanations.

• Evaluate AI-generated code for accuracy, performance, and clarity.

• Provide feedback that directly shapes the next generation of AI models.

Qualifications:

• Fluency in English (native or bilingual level).

• Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift.

• Excellent writing and grammar skills.

• A bachelor’s degree (completed or in progress).

• Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred.

Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.

Decision Scientist (Credit)

This is an excellent entry-level opportunity perfect for a talented individual who has recently graduated with a degree in a quantitive focus (Mathematics, Statistics, Physics or Economics). This role is specifically designed to set a new graduate up for success, so we are exclusively considering applicants with this profile.

This role sits in the Credit Risk team who are hugely influential to our overall lending process. They look at measuring our risk, optimising our credit risk funnel and forecasting the performance of our loan portfolios. To do this, they work with the credit risk modelling, engineering, data management, capital markets and business operations teams to truly understand our objectives and shape analytical solutions.

Who are we?

We're Funding Circle. We back small businesses to succeed.

At Funding Circle, we believe the world needs small businesses. That's why we've made it our mission to help them get the finance they need to grow.

With more than a decade of expertise under our belt, we've built a game-changer of a platform with cutting-edge data and technology that's reshaping the landscape of SME lending. Say goodbye to lengthy applications and hello to lightning-fast decisions In just minutes, SMEs across the UK can get a decision, giving them access to competitive funding in a flash.

We know that good business is about good people. So we pride ourselves on providing meaningful, human support as well as fast, hassle free processes to deliver an unbeatable customer experience.

The role

This role focuses on our Credit Risk lending capabilities. You'll be given the opportunity to think outside the box and come up with a wide range of suggestions and ideas to optimise our ability to lend to small businesses, while also delivering strong returns for our investors.

• Primarily responsible for monitoring our Credit Strategy to identify useful trends and opportunities to optimise our lending strategy
• Involved with all aspects of credit strategy analytics, from loss rate forecasting to segmentation analysis
• Guiding business decisions by carrying out ad hoc analysis, providing credit risk insights and recommendations for optimising credit risk strategies and business processes
• Collaborate with experts from different functions, particularly Engineering and Operations, to ensure daily running of our lending business and to implement any Credit Strategy changes
• Proactively problem solving, identifying and confidently mitigating any risks, issues or control weaknesses that arise in your day-to-day

What we're looking for

• A degree from numerical subjects such as Mathematics, Engineering or Science
• No work experience required, but work experience is advantageous, particularly in credit risk analytics / portfolio analytics, ideally in a Retail/Corporate/Investment Banking context
• Experience in guiding business decisions through analytical insights, ideally covering all steps from initial stakeholder engagement and business analysis to data analysis and presentation of the results
• Excellent communication skills, particularly with regards to translating data analyses and numbers into actionable insights tailored to the audience
• Some understanding of the principles of portfolio modelling, particularly cash flow modelling and measurement of performance
• Adequate to fluent in Excel and coding, any of: SQL, R, Python, Tableau (candidates with experience in other environments e.g. SAS and aptitude to quickly learn will also be considered)
• Curious and eager to learn, and comfortable working independently on solving open-ended problems

At Funding Circle we are committed to building diverse teams so please apply even if your past experience doesn't align perfectly with the requirements.

Want to learn more?

• We have a huge impact on the businesses that borrow through our platform, the communities they serve and the overall economy (last year £6.9bn of GDP generated). You can read our full Impact Report here:
• To see what our customers think, visit our Trustpilot page:
• And we're still evolving Our award-winning multi-product platform is solving more SME finance challenges than ever before. We think big, rally together and meet the needs of SME customers like no other.

Why join us?

At Funding Circle, we celebrate and support the differences that make you, you. We're proud to be an equal-opportunity workplace and affirmative-action employer. We truly believe that diversity makes us better.

As a flexible-first employer we offer hybrid working at Funding Circle, and we've long believed in a 'best of both' approach to in-office collaboration and non-office days. We expect our teams to be in our London office three times a week, where you can take advantage of our newly refurbished hybrid working space, barista made coffee and subsidised lunches (via JustEat) every day

We back our Circlers to build their own incredible career, making a difference to small businesses every day. Our Circler proposition is designed to support employees both in and out of work, and it is anchored around four pillars: Health, Wealth, Development & Lifestyle.

A few highlights:

• Flexibility: We provide you with a benefit allowance so that you can tailor your benefit selection to you and your family's needs.
• Health: Private Medical Insurance, Dental Insurance, Health Cash Plan, Health Assessments (including female fertility health assessments), eyecare vouchers, flu jabs, Wellhub (for discounted flexible gym membership and access to wellbeing apps) access to a free Employee Assistance Programme and free Digital GP for yourself and any children under 16.
• Wealth: Life Assurance, Income Protection, Critical Illness Cover, financial coaching through Octopus Money Coach, a tax-advantaged share scheme, a free mortgage advisor partnership and discounts across numerous retailers through Perks at Work.
• Development: Dedicated annual Learning & Development allowance and full access to internal learning platform.
• Lifestyle: Electric Car Scheme, Cycle to Work scheme, Season Ticket Loans, and more

And finally, we have award winning parental leave policies supporting parents through enhanced maternity, partner and adoption leave, as well as additional leave for parental bereavement and for fertility treatments.

Ready to make a difference? We'd love to hear from you.

We're Capital on Tap

Capital on Tap was founded with the mission to help small business owners and make their lives easier. Today, we provide an all-in-one business credit card & spend management platform that helps business owners save time and money. Capital on Tap proudly serves over 200,000 businesses across the world and our goal is to help 1 million small businesses by 2030.

Why Join Us?

We empower you to be innovative and solve complex problems. Take ownership, make an impact, and thrive in our scaling and agile environment.

This is a Hybrid role, working from our London (Old Street) Offices 3 days per week.

What You'll Be Doing

Are you a data scientist who loves to see your work make a real-world impact? We're looking for someone to join our team and help us figure out the smartest ways to grow our US business. You'll get to own your work from the initial idea right through to seeing it launched, directly influencing our bottom line and shaping how we do things. If you're excited by the idea of testing your theories and building things that matter, this could be the perfect fit.

• You'll create and launch predictive models that tackle all sorts of challenges across our customer lifecycle.
• You'll be diving into complex datasets to find the hidden opportunities and helping us make smarter decisions.
• Collaborate with a wide range of stakeholders to ensure seamless implementation of analytical solutions.
• You'll turn complex analysis into simple, compelling stories that get everyone on the same page.
• Once your models are live, you'll keep an eye on them to make sure they're performing well, and you'll get to tweak and improve them over time.
• We want you to stay curious You'll explore the latest tools and techniques in data science and help us stay ahead of the curve.

We're Looking For

• You've built machine learning models that have been used to solve real business challenges.
• You're great with Python and SQL and are comfortable working with large, complex datasets.
• You have a strong background with numbers, either from your education or professional experience.
• You're a proactive self-starter who loves taking ownership of a project from beginning to end.
• You can explain complex data and technical ideas in a simple and clear way.
• You enjoy working in a fast-paced environment (experience in a start-up or consultancy is a big plus).

Diversity & Inclusion

We welcome, consider and encourage applications from anyone who shares our commitment to inclusivity. Join us in creating a space where authenticity thrives, and everyone can do their best work.

Great Work Deserves Great Perks

We try not to take ourselves too seriously (all the time) so we make sure our office is decked out with a pool table, arcade machine, beer tap, and a couple of office dogs thrown in for good measure. Check out our benefits:

Private Healthcare including dental and opticians services through Vitality

Worldwide travel insurance through Vitality

Anniversary Rewards (£250, £00, 50, 4-week fully paid sabbatical)

Salary Sacrifice Pension Scheme up to 7% match

Octopus EV Salary Sacrifice Scheme

28 days holiday (plus bank holidays)

Annual Learning and Wellbeing Budget

Enhanced Parental Leave

Cycle to Work Scheme

Season Ticket Loan

6 free therapy sessions per year

Dog Friendly Offices

Free drinks and snacks in our offices

Check out more of our benefits, values and mission here.

Other Info

Check out our 'Top Tips' for interviewing.

Keep updated on new job opportunities by following us on Linkedin.

Email if you have any questions.

Excited to work here? Apply

If you'd like to progress your career within our fast growing, profitable fintech then click apply and we will aim to get back to you within 3 working days (during busy periods this could take up to 5 working days.)

Job Description – Senior Scientist (Sequencing & Molecular Biology)

Location: London (lab-based)

Reports to: Director of Production

Department: R&D/Production

About the Client

We are partnering with a VC-backed biotech client using AI and genomics to explore biodiversity and build one of the world’s most diverse biological databases. The company works with industry leaders to translate discoveries from non-model organisms into sustainable biotechnological solutions. They are a small, collaborative team focused on hands-on science and innovation.

Role Overview

Our client is seeking a Senior Scientist to own the development, optimisation, and implementation of DNA/RNA extraction and sequencing workflows. This hands-on role bridges R&D innovation and production-scale delivery, ensuring new methods are scientifically robust and scalable.

You will directly contribute to expanding the company’s biodiversity database, prototyping, testing, and scaling workflows that drive real-world impact.

Key Responsibilities

• Develop and optimise DNA/RNA extraction and sequencing workflows (Illumina and Nanopore).
• Implement new sequencing technologies and chemistries; validate methods and transfer to production.
• Analyse experiments and present results internally.
• Collaborate with cross-functional teams including data science, global sample collection, and other R&D sites.
• Horizon-scan for emerging methodologies to enhance sequencing and database growth initiatives.
• Provide technical expertise and mentorship within the team.

Required Skills & Experience

• 5–10 years’ experience in molecular biology or sequencing-focused R&D, ideally with non-model organisms.
• Hands-on expertise in DNA/RNA extraction, library preparation, and sequencing (Illumina and Nanopore).
• Experience in high-throughput laboratory environments.
• Strong method development, optimisation, and troubleshooting skills.
• Comfortable working in CL2 laboratories with genetically modified organisms.
• Collaborative, able to communicate effectively across multi-disciplinary teams.

Desirable Skills

• Familiarity with automation and high-throughput workflows.
• Experience with single-cell sequencing or targeted enrichment strategies.
• Understanding of sequencing data QC and collaboration with bioinformatics teams.

Educational Background & Personal Attributes

• MSc/PhD in Molecular Biology, Biochemistry, Biotechnology, Genomics, or related field.
• Hands-on scientist who enjoys solving challenging technical problems.
• Curious, pragmatic, and capable of balancing scientific rigour with rapid iteration.
• Motivated by impact, innovation, and building something from the ground up.

Compensation & Benefits

• Competitive salary (dependent on experience).
• Equity participation opportunity.
• Comprehensive health coverage, life insurance, pension, generous PTO, and parental policy.
• Collaborative, dynamic, and supportive lab environment in London.

Data Scientist - Finance/Investments

London – 5 days in office

Up to £120,000 + Strong Bonus Potential

About the Role

We are working with a leading hedge fund and alternative investment firm, specialising in global macro strategies with a particular emphasis on inflation modelling and the wider economic landscape.

They are looking for a Data Scientist to join their London-based team, working closely with AI and research functions to design, implement, and maintain scalable ML models for forecasting. This role offers the opportunity to work at the cutting edge of time-series forecasting within a fast-paced and intellectually rigorous environment.

Key Responsibilities

• Building machine learning models, with a focus on time-series forecasting.
• Collaborating with data scientists and researchers to productionise models.
• Managing both cloud-based and on-premise infrastructure.
• Ensuring reliability and scalability of ML systems in production.

What We’re Looking For

• 3+ years of experience in Data Science.
• Strong proficiency in Python and experience with ML libraries/frameworks (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Hands-on experience implementing end-to-end ML pipelines (data ingestion, training, validation, serving).
• Familiarity with ML workflow orchestration tools (Airflow, Prefect, Kubeflow) and feature/data platforms (Databricks, Tecton, etc.).
• Strong experience with cloud platforms (AWS, GCP, or Azure), Docker, and Kubernetes.
• Solid coding practices, including Git, automated testing, and CI/CD.
• Proficiency with Linux environments.
• Knowledge of time-series analysis is a strong plus.

Please note, this role cannot offer VISA sponsorship.

Data Scientist

Up to £70,000

Join a Brand Equity start up that partners with leading CPG and retail brands better understand their market position, optimise marketing spend, and strengthen brand equity through advanced data science techniques.

Responsibilities:

• Responsible for integrating multiple previously disconnected datasets
• Leveraging advanced techniques in machine learning, natural language processing (NLP), and computer vision
• Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions
• Enhancing understanding of consumer behaviour, market trends, and emerging patterns.
• Play a key role in standardising AI into a global solution

Requirements:

• MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
• Experience in Consumer / Marketing Analytics
• Strong proficiency in Python and experience with relevant ML libraries/frameworks.

Please note:

This role requires 1–2 days onsite per week onsite in Central London.

How to Apply:

Please register your interest by sending your CV to Emily Burgess via the Apply link on this page