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PLATFORM ENGINEER

LONDON

£70,000 – £80,000

This is a rare opportunity to join a small, highly capable platform team at a pivotal point in a long-term technology transformation. You will play a key role in reshaping core infrastructure, driving automation and scalability, and influencing how the platform evolves over the next phase of growth.

THE COMPANY
They are a well-funded fintech operating in the high-net-worth space, building technology that aggregates complex financial data to deliver intelligent, life‑focused insights. The business is product-led, engineering-driven, and focused on long-term quality over short-term fixes. Their culture encourages curiosity, open communication, and thoughtful challenge, with engineers expected to contribute ideas, not just code.

THE ROLE

• Design, build, and evolve Kubernetes-based platform infrastructure as part of a broader architectural refresh.
• Drive improvements in automation, scalability, and reliability across the platform.
• Contribute to decisions around cloud architecture and core frameworks.
• Collaborate closely with platform, data, and engineering teams to enable faster and safer delivery.
• Document designs clearly and communicate ideas effectively to both technical and non-technical stakeholders.

YOUR SKILLS AND EXPERIENCE:

• Strong hands-on experience building and operating Kubernetes environments.
• Experience working with a major cloud platform such as AWS, GCP, or Azure.
• Confidence designing scalable, automated infrastructure rather than maintaining legacy setups.
• Exposure to infrastructure as code, Terraform experience is beneficial but not essential.
• Comfortable sharing ideas, challenging existing approaches, and collaborating in a small team environment.

SALARY AND BENEFITS

• Salary Sacrifice Schemes: Electric Car Scheme, Workplace Nursery Scheme, Cycle to Work Scheme, and Gym Benefit.
• Option for salary sacrifice pension with Nest.
• Seasonal and team socials.
• Support for mental health.

How to Apply
Please register your interest by sending your CV to Nihal Singh through the ‘Apply’ link

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Platform Engineer
London, Hybrid (2x Per Week in Office)
Up to £80,000

This is an opportunity to join a fast growing, venture backed fintech at a genuinely pivotal moment. The platform has already scaled to support a complex, high value user base, and the business is now preparing for a major re-architecture that will shape the next phase of growth. You will play a key role in redefining core infrastructure, driving automation, and influencing technical direction from day one.

The Company
They are a well funded financial technology business operating in the high wealth space, focused on delivering intelligent, data driven financial insight rather than traditional asset or wealth management. The platform aggregates complex financial data into a single, intuitive view and provides tailored guidance aligned to long term life goals. The culture is collaborative, ideas led, and engineering driven, with a strong emphasis on quality, transparency, and continuous improvement.

The Role

• Design, build, and evolve a scalable platform environment as part of a small, high impact engineering team.
• Play a hands on role in a significant re platforming programme, modernising Kubernetes clusters, tooling, and architectural foundations.
• Drive automation and reliability across infrastructure to support growth, performance, and security.
• Collaborate closely with engineering, data, and leadership stakeholders to shape technical decisions and priorities.
• Contribute ideas, challenge assumptions, and help define best practice across the platform function.

Your Skills and Experience

• Strong commercial experience working with Kubernetes in production environments.
• Cloud platform exposure across AWS, GCP, or Azure, with an understanding of scalable infrastructure design.
• Infrastructure as Code experience, with Terraform or similar tooling.
• Confidence operating in change heavy environments such as scale ups or transformation programmes.
• Clear communication skills and a proactive approach to collaboration and problem solving.

What They Offer

• Salary up to £80,000 depending on experience.
• Hybrid working from a London office, with flexibility depending on role and responsibilities.
• The chance to influence architecture and platform strategy at a critical stage of growth.
• A supportive, non hierarchical culture that values new ideas and technical ownership.
• Long term career progression within a growing technology organisation.

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Senior Software Engineer (Python)

Hybrid London (2 days/week)

Up to £100,000 + Benefits

We’re hiring a Senior Software Engineer to play a key role in building and scaling a high-impact ad-fraud prevention platform used globally. This is a senior IC role for engineers who enjoy ownership, solving complex problems, and setting a high bar for engineering quality.

What you’ll do:

• Lead delivery of complex, cross-service features

• Make pragmatic architecture and design decisions

• Own services end-to-end, including performance, reliability, and incident response

• Set standards for testing, observability, and security

• Mentor engineers and contribute to strong team practices

• Collaborate closely with Product, Design, and Data teams

What we’re looking for:

• Strong experience as a Senior Software Engineer in modern product teams

• Proven ability to design and deliver scalable, reliable systems

• Experience operating production services

• Strong coding, code review, and technical leadership skills

• Comfortable working through ambiguity and influencing technical direction

Why apply?

• Salary up to £100,000

• Hybrid working – 2 days per week in the London office

• High ownership, high-impact role

• Strong engineering culture focused on quality and reliability

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Marketing Data Scientist

London | £45,000 to £55,000 + bonus and benefits
No sponsorship offered – must have full right to work in the UK

This is a rare opportunity to join a growing data science function at a pivotal moment for the business. With senior backing, fresh investment, and a clear focus on marketing effectiveness, this role offers real ownership, visibility, and the chance to shape how data science drives commercial decisions at scale.

The Company

They are a well established, international organisation undergoing a period of transformation, with a renewed focus on data driven decision making. A new leadership team is investing heavily in analytics to improve customer understanding, optimise marketing spend, and drive long term growth. The data science team has expanded rapidly and continues to grow across the UK and US, creating strong collaboration and progression opportunities.

The Role

You will sit within a marketing measurement and reporting team, focusing on understanding and improving marketing performance across channels. This role combines hands on modelling with real business impact.

Key responsibilities include:

• Developing and enhancing media mix models to measure and optimise marketing investment.
• Scaling an established UK modelling framework and applying it to international markets.
• Leading the evolution of marketing effectiveness modelling, with support and one direct report.
• Working closely with marketing, CRM, and analytics stakeholders to turn insights into action.
• Contributing to wider data science projects such as experimentation, propensity modelling, and recommendation systems.
• Owning projects end to end, from problem definition through to measurable business impact.

Your Skills and Experience

• Strong hands on experience with Python and applied machine learning.
• Solid grounding in statistical and predictive modelling techniques.
• Experience designing experiments and evaluating performance using A B testing or similar approaches.
• Confidence working with real world, messy data and delivering production ready solutions.
• Familiarity with cloud environments such as AWS is beneficial.
• Exposure to Bayesian methods, random forests, or marketing analytics is advantageous but not essential.
• Ability to demonstrate how your work has delivered tangible value or influenced decision making.

What They Offer

• Salary between £45,000 and £55,000 depending on experience.
• 10 percent annual bonus.
• Pension with 3 percent employer and 5 percent employee contribution.
• Hybrid working with 2 to 3 days per week in the London office.
• Clear progression as the data science team continues to grow and invest.

How to Apply

If you are looking for a hands on marketing focused data science role with ownership, impact, and urgency, apply now to be considered. Sponsorship is not available for this role.

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AI CONSULTANT

UP TO £85,000 + BENEFITS

LONDON, LEEDS OR NOTTINGHAM

HYBRID WORKING POLICY – 3 DAYS A WEEK IN OFFICE

Are you an experienced AI professional with a background in credit risk? Join a leading global credit business and play a key role in shaping how AI is used to improve lending decisions across industries.

THE COMPANY

A global credit business that provides data and analytics to help businesses make more informed lending decisions. Working with banks, fintechs, and other organisations, to deliver insights that enable better risk assessment, strategy development, and customer outcomes. Their newly established AI Lab is focused on advancing AI capabilities and embedding innovation across the business.

THE ROLE

As an AI Consultant you will focus on developing AI-driven solutions and enhancing modelling capabilities to support client projects and internal innovation.

Specifically, you can expect to be involved in the following:

• Develop and enhance AI and machine learning models, including scorecards and predictive models.
• Work on innovative use cases such as chatbots, transformers, and LLM-based applications.
• Conduct research and development to identify new AI-driven solutions in lending and risk.
• Contribute to new product development and AI-led offerings.
• Support the integration of AI into broader business processes and client solutions.
• Collaborate with data and analytics teams across locations.

SKILLS AND EXPERIENCE

The successful AI Consultant will have the following skills and experience:

• Experience in credit risk within a lender (bank, fintech) or credit reference agency.
• Strong background in model development, ideally scorecards.
• Hands-on experience with AI/ML techniques (e.g. LLMs chatbots, predictive models)
• Strong SQL and Python skills

BENEFITS

The successful AI Consultant will receive a salary up to £85,000 as well as a comprehensive benefits package.

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DATA SCIENTIST

UP TO £50,000 + BENEFITS

LONDON

HYBRID WORKING POLICY – 2/3 DAYS A WEEK IN OFFICE

Join a leading insurance company as a Data Scientist, shaping how pricing strategies perform across a live portfolio. Using advanced analytics and loss‑ratio insights, you’ll challenge assumptions and refine risk selection. In doing so, you’ll directly influence how millions of customers are priced in a digital‑first environment.

THE COMPANY

This fast‑growing digital insurer is reshaping the insurance market through a technology‑led, data‑driven approach, serving millions of customers across Europe. With consistent, profitable growth and ongoing investment in advanced analytics and pricing capability, the business continues to scale at pace while maintaining a strong focus on innovation and customer value.

THE ROLE

As a Data Scientist, you will analyse how pricing decisions perform across a live portfolio, using data‑driven insights to assess whether outcomes align with pricing intent and commercial objectives.

Specifically, you can expect to be involved in the following:

• Leveraging Python, SQL, and advance analytics to interrogate portfolio performance and evaluate modelled customer segments.
• Using loss-ratio led insights to determine whether segments remain viable or require repricing, constraint, or redesign.
• Translating complex data into clear, evidence-based recommendations to influence pricing and modelling strategies.
• Collaborating cross-functionally with pricing, underwriting, and data teams to drive informed portfolio decisions.
• Challenging assumptions and contributing to the continuous improvement of pricing models and risk selection approaches.

SKILLS AND EXPERIENCE

The successful Data Scientist will have the following skills and experience:

• A strong academic background in mathematics, physics, or a related quantitative field.
• Exceptional analytical and problem-solving skills.
• Commercial awareness or interest in pricing, insurance, or customer behaviour modelling.
• Proficiency in Python.
• Strong communication skills, with the ability to explain complex ideas clearly and work collaboratively across teams.

BENEFITS

The successful Data Scientist will receive up to £50,000 as well as a comprehensive benefits package.

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Platform Engineer

Location: London (2 days in Office)

Salary: Up to £80,000

This is an opportunity to join a small, high-impact platform engineering team at a well-funded, product-led technology business undergoing a major technical transformation. You will play a key role in reshaping core infrastructure, driving automation, and influencing architectural decisions during a significant modernisation programme.

The Company

They are a venture-backed technology business operating in the financial technology space, building a platform that brings together complex data to deliver intelligent, long-term insights for users. The organisation works with a broad client base and manages data at significant scale, while remaining independent and advice-led rather than product or asset focused. Engineering is central to their strategy, with a strong emphasis on quality, innovation, and long-term thinking.

The Role

• Design, build, and evolve scalable platform infrastructure with a strong focus on automation and reliability.
• Play a key role in a planned re-architecture of Kubernetes clusters, tooling, and core platform fundamentals over the next year.
• Collaborate closely with engineers across the platform, data, and wider technology teams.
• Champion infrastructure as code and modern DevOps practices to improve delivery and operational efficiency.
• Contribute ideas, challenge existing approaches, and help shape the future technical direction of the platform.

Your Skills and Experience

• Strong commercial experience building and operating Kubernetes-based platforms.
• Experience working with cloud environments such as AWS, GCP, or Azure.
• Hands-on knowledge of infrastructure as code, ideally with Terraform or similar tools.
• Confidence working in a fast-moving, collaborative environment where change is constant.
• Ability to communicate clearly, share ideas, and work closely with others to deliver impact.

What They Offer

• Enhanced parental leave, mental health support, study support, and work-from-home equipment.
• A dog-friendly office and regular team and seasonal socials.
• Potential for equity review after probation, dependent on performance and business needs.

How to Apply

If you are a Platform Engineer looking to make a real impact on modern infrastructure at scale, apply now to learn more about this opportunity.

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Senior Engagement Manager – Analytics Consulting

Up to 120k plus benefits

Hybrid – London

A growing analytics and advisory business is looking to hire a Senior Engagement Manager to support the expansion of its client consulting capability across financial services and adjacent sectors.

This is an opportunity to join a business investing heavily in data, analytics and strategic advisory services, helping clients solve complex commercial and customer challenges using insight-led solutions.

The role offers significant exposure to senior stakeholders, high-impact project work and strong long-term progression opportunities.

The Role

You will lead client engagements focused on delivering commercially driven analytics and consulting solutions across a range of strategic business areas.

Responsibilities include:

• Managing end-to-end delivery of analytics and consulting projects

• Building trusted relationships with senior client stakeholders

• Translating data and analytical insight into clear business recommendations

• Supporting business development activities including proposals and presentations

• Working closely with technical and analytical teams to deliver scalable solutions

• Contributing to the growth and development of a growing consulting function

Projects may cover areas such as customer strategy, risk, growth, optimisation, segmentation and operational performance.

About You

We are looking for candidates with experience in analytics consulting within financial services or other highly regulated, data-rich industries.

You should bring:

• Financial services consulting experience is essential

• Experience leading client-facing projects and managing senior stakeholders

• Strong commercial and strategic thinking skills

• The ability to communicate complex ideas to both technical and non-technical audiences

• Exposure to analytics, insight or data-led decision making

• Familiarity with analytical tools, data environments or visualisation platforms

• Experience working in consulting, professional services or advisory environments

What’s on Offer

• Opportunity to join a growing and evolving consulting practice

• High-profile client exposure

• Clear progression and leadership potential

• Hybrid working environment

• Competitive compensation package

Find out more and apply via the link below.

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Research Manager, Analytics (4 days in office, Fridays WFH)
Up to £60,000, London
Series A-B B2B Research Tech Startup (~50 people)

We’re partnered with a fast-growing research technology startup using AI to transform how organisations understand people. The business combines advanced analytics with modern research methods to deliver deeper insights, faster and at significantly lower cost than traditional research approaches.

As the company launches a new AI-driven product, they’re hiring a Research Manager to take ownership of analytics and modelling across client research projects.

The Role

This is a hands-on role focused on pushing the boundaries of quantitative analytics within research. You’ll lead complex modelling work, set best practice for analytics, and independently deliver end-to-end research projects.

Key Responsibilities

• Own analytics workstreams across major research projects

• Deliver advanced analysis including segmentation, factor reduction and regression modelling

• Set standards and best practice for analytics and segmentation

• Automate repeat analytical tasks for trackers and long-running projects

• Run end-to-end research projects (primarily quant; some qual/mixed methods)

• Contribute to proposals and RFPs

About You

Essential

• 3+ years’ experience in analytics and/or research using survey data

• Hands-on experience with regression, factor analysis and segmentation techniques

• Strong data wrangling, cleaning and weighting skills

• Proficiency in R or Python for analysis and visualisation

• Curious, exploratory approach to finding insight in data

Nice to have

• Experience with Bayesian as well as frequentist methods

• Understanding of the full market research project lifecycle

Interview Process

• Screening questions

• Talent interview

• Hiring Manager interview

• In-person task (with opportunity to meet Founder & C-suite)

Find out more and apply via the link below.

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Job Title: Product Data Scientist – Hybrid – Up to £80,000

Location: London (Hybrid, 2 days p/w in office)

Salary: Up to £80,000 + benefits

Contract: Permanent

The Company

A well-established and fast-growing organisation going through an exciting period of digital transformation. With a strong customer focus, they use data and technology to deliver meaningful products and services to a wide audience. The business is scaling its data capabilities and is investing heavily in analytics to drive smarter decisions and long-term growth.

The Role

As a Product Data Scientist, you’ll work closely with teams across the business to unlock insight, guide product strategy, and influence decision-making. You’ll use advanced analytics, experimentation, and data storytelling to identify opportunities, improve customer experiences, and drive measurable impact.

Key Responsibilities:

• Analyse user behaviour to uncover insights, identify pain points, and influence product direction.

• Design experiments and support a culture of testing, learning, and iteration.

• Define and align key business metrics, ensuring consistency and accuracy across teams.

• Build and maintain dashboards and tools to empower stakeholders with self-serve insights.

• Conduct deep-dive analyses to support strategic initiatives and provide clear recommendations.

• Collaborate across functions to close data gaps and drive analytics best practice.

• Stay current on industry trends and champion innovative approaches to product data science.

The Candidate

• Proven experience in analytical roles, ideally within a digital-first or tech-led business.

• Skilled in SQL, Python or R, plus familiarity with BI tools (e.g. Looker, Tableau, Lightdash).

• Ability to translate business challenges into clear analytical projects and recommendations.

• Strong data storytelling and presentation skills, with confidence engaging senior stakeholders.

• Curious, proactive, and detail-oriented problem solver.

• Team player with strong collaboration skills.

What’s on Offer

• Salary up to £80,000 + bonus

• Hybrid working (2 days per week in London office)

• Competitive annual leave package

• Pension scheme and healthcare support

• Employee discounts and perks

• Regular team socials and recognition initiatives

• Strong learning and development opportunities

Apply Now
If you’re an experienced Product Data Scientist/Analyst looking to shape the future of data insight in a growing, forward-thinking organisation, apply today.

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Lead Analyst

London | Up to £100,000 plus equity

This is a senior individual contributor role where analytics directly influences product direction and commercial outcomes. You will play a key role in shaping personalisation within a highly data-led environment, working on complex customer journeys with clear ownership and visibility across the business.

The Company

They are a well-established, fast-growing digital business operating in a regulated consumer space. Known for their strong data culture and product-first mindset, they invest heavily in analytics to drive decision-making. The organisation is in a phase of international growth, with this role focused on a key expansion market. Teams are lean, collaborative, and operate to high standards.

The Role

• Drive personalisation across app and digital journeys to ensure customers see the most relevant products and experiences.
• Partner closely with product teams to define and deliver a long-term personalisation strategy.
• Use data to determine which products or messages to surface at different stages of the customer lifecycle.
• Collaborate with data science teams on recommendation systems and propensity models.
• Conduct funnel analysis to identify drop-offs and improve conversion and engagement.
• Lead and contribute to A/B testing and experimentation to measure uplift from product changes.
• Analyse and report on performance metrics including conversion rates, engagement, and customer behaviour.
• Work cross-functionally with product managers, engineers, and developers in a pod-style setup.

Your Skills & Experience

• Strong commercial analytics experience within a consumer or product-led environment.
• Advanced capability in SQL and Python, with Python central to analytical work.
• Experience with experimentation, A/B testing, and measuring product or feature impact.
• Exposure to propensity modelling, recommendation systems, or predictive analytics.
• Confident translating complex analysis into clear, actionable insights for stakeholders.
• Comfortable operating in a fast-paced environment with high expectations.

What They Offer

• Salary up to £100,000.
• Equity as part of the overall package.
• A high-impact role within a successful and growing organisation.
• Clear ownership, autonomy, and exposure to senior stakeholders.
• Hybrid working with Tuesday, Wednesday, and Thursday based in a London office.

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