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Data Scientist

London Hybrid – 2-3 days in office
Competitive salary between £45,000 and £50,000 plus benefits

This is a great opportunity to join a high‑impact data function within a major transport organisation, working on complex datasets, geospatial challenges, and predictive modelling that directly shapes customer experience and operational performance. If you are looking for a hands‑on, traditional Data Science role with plenty of autonomy and greenfield opportunity, this is a strong next step.

The Company

They are a leading player in the UK transport sector, operating a large and busy network. With data playing an increasingly important role in decision‑making, they are investing in a growing commercial and data function to drive insight, efficiency and innovation. The Data team sits within a wider commercial structure and works closely with stakeholders across the business to unlock value from complex, high‑volume datasets.

The Role

As a Data Scientist, you will work on a broad range of modelling and analytical projects, from exploratory analysis to predictive modelling and geospatial insight. You will help the team extract deeper value from diverse datasets and shape how the organisation makes data‑driven decisions.

Your responsibilities include:

• Delivering end‑to‑end Data Science projects, from scoping through to modelling and stakeholder presentation.
• Building predictive models in areas such as fleet behaviour, sensors, demand forecasting and customer journey patterns.
• Conducting geospatial analysis using mobile network and location‑based datasets to understand journey flow and catchment behaviour.
• Exploring open‑ended datasets to identify value, opportunities and actionable insights.
• Collaborating with Data Engineers and Analysts on data modelling, dashboards and web‑based tools.
• Communicating findings clearly to stakeholders with varied levels of data literacy.

Your Skills and Experience

You will bring strong commercial experience in:

• Python and SQL, along with core Data Science libraries and tools.
• Working with messy, complex datasets and extracting meaningful insight.
• Building and deploying predictive models and Machine Learning solutions.
• Geospatial analysis and the ability to explore open datasets.
• Communicating technical concepts in a clear, simple, non‑jargon way.
• Working autonomously and navigating ambiguity in data environments.

What They Offer

• Competitive salary between £45,000 and £50,000
• Hybrid working, 2-3 days per week in the office
• Travel benefits, including 75 percent off UK rail travel
• A supportive data team with opportunities to lead projects, innovate and shape the Data Science capability

How to Apply

If this sounds like your next step, apply today or email me at

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Senior Data Engineer (IC)

Location: Remote (Office in London and Wiltshire)

Salary: Up to £90,000 + Benefits

This is an exciting opportunity to join a growing organisation and take ownership of a greenfield data platform. You will play a key role in shaping engineering standards, building scalable pipelines, and enabling the analytics and insight capabilities that will underpin the company’s next stage of growth.

The Company

They are a well established organisation providing essential services across both public and private sectors. Following significant expansion, they are investing heavily in modern data capabilities to improve operational performance and deliver better outcomes for the communities they support. Their technology function is scaling quickly, giving you the opportunity to make a genuine impact in a developing data environment.

The Role

As a Senior Data Engineer, you will have responsibilities for:

• Own the delivery of core data products including pipelines, curated datasets, and models.
• Design and enhance scalable data architecture to improve reliability and performance.
• Build and maintain ETL and ELT pipelines using SQL, Python, and cloud technologies.
• Champion engineering best practices including CI/CD, documentation, and observability.
• Develop trusted datasets and metrics used across analytics and reporting teams.
• Work closely with stakeholders across Data, Product, and Leadership to translate requirements into robust data solutions.
• Support the organisation’s move toward MLOps‑ready platforms and processes.

Your Skills and Experience

You will be required to have experience in the following tools:

• Strong commercial experience building and maintaining production‑grade ETL and ELT pipelines.
• Advanced SQL and Python skills for modelling, transformation, and optimisation.
• Hands‑on experience with cloud data tooling such as Azure, AWS, or GCP.
• A solid understanding of data engineering principles including quality, reliability, and automation.
• Experience working within modern engineering environments, ideally with CI/CD and containerisation.
• Exposure to orchestration, observability, and analytics engineering is beneficial but not essential.

What They Offer

• Fully remote working with occasional monthly travel.
• A chance to shape a greenfield data platform in a growing tech function.
• Opportunities for progression across Data Engineering, MLOps, and DevOps practices.

How to Apply

If this sounds like the next step in your data engineering career, please apply with your CV!

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Senior AI Engineer

London – 1-2x week in office

Salary: £80,000 – £90,000

This is an exciting opportunity to join a business that is investing heavily in AI and modern cloud technologies. You will play a key role in building AI‑driven products that have a direct impact on customer experience, operational efficiency and the future of their platform.

The Company

They are a tech‑forward insurance organisation with a strong focus on delivering smarter, more personalised digital products. Their teams combine data, engineering and customer expertise to create solutions that simplify complex challenges for their users. Innovation, collaboration and a flexible working culture are at the heart of how they operate. They continue to scale their AI capability and are looking for someone who can help shape this next phase of growth.

The Role

In this AI Platform Engineer role, you will:

* Design, build and operate AI‑first products that deliver measurable value.

* Develop and deploy production‑grade AI agents on GCP using ADK, integrating with internal systems via REST and JSON APIs.

* Build and maintain robust evaluation and monitoring frameworks, including online and offline testing, A/B experiments and performance dashboards.

* Integrate AI agent functionality with applications through MCP servers and reliable tool configurations.

* Develop secure and scalable RAG pipelines, including ingestion, text processing, metadata handling and vector search in GCP.

* Embed security, compliance, GDPR controls and best‑practice engineering with clear documentation and stakeholder collaboration.

Your Skills and Experience

To be successful, you will bring:

* Strong Python skills for backend services, SDKs, API development, authentication and testing.

* Hands‑on experience working with LLMs, embeddings, prompt engineering, tool calling and RAG design.

* Practical knowledge of GCP services including Vertex AI, Model Garden, BigQuery, Cloud Run and Google’s ADK.

* Experience with document and data processing using tools such as Apache Tika, plus storage or caching technologies like Postgres, Redis, GCS or BigQuery.

* Solid DevOps practices including CI/CD, Docker, observability and automated testing.

* A product‑led mindset with a strong understanding of security, IAM, auditability and defining success metrics.

What They Offer

* Opportunities to shape AI products from the ground up.

* A collaborative environment that encourages innovation and career progression.

How to Apply

If you are excited about building production‑ready AI systems and want to drive meaningful impact, please apply with your CV.

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Infrastructure Product Engineering Manager

Location: Bristol, Hybrid (2 days per week in office)

Salary: £100,000 to £130,000 plus 10 percent bonus

This is a standout opportunity to shape a brand‑new Infrastructure Product Engineering function within a global organisation. You will set the direction, establish modern DevOps and IaC practices, and lead a chapter of engineers working across high‑impact squads delivering data, AI and automation initiatives.

The Company
They are an international organisation operating across Europe, the Middle East, Asia, and the US, focused on delivering technology‑enabled services to global clients. With a collaborative and forward‑looking culture, they are investing heavily in digital transformation, cloud engineering and automation. Their environment encourages innovation, modern engineering thinking and the freedom to influence how infrastructure is delivered at scale.

The Role
In this Infrastructure Product Engineering Manager position, you will:

• Act as the chapter lead for DevOps, shaping a new function and defining Infrastructure as Code, automation and CI/CD standards.
• Lead and develop a team of DevOps and Cloud Engineers working across multiple product squads.
• Serve as the product owner for cloud infrastructure, delivering secure, scalable, well‑architected Azure platforms.
• Drive the design and build of new platform services in partnership with architecture and engineering teams.
• Champion modern software engineering practices, improving reliability, observability and automation across infrastructure.
• Implement strong IAM, data protection and regulatory compliance controls
• Collaborate closely with data, generative AI and agent‑focused squads to enable high‑quality product delivery

Your Skills and Experience
To succeed in this Infrastructure Product Engineering Manager role, you will need:

• Strong technical leadership experience in infrastructure, platform, or DevOps engineering.
• Advanced expertise in Azure and cloud‑native infrastructure services.
• Deep practical experience with Terraform or Bicep for Infrastructure as Code.
• Strong understanding of CI/CD pipelines, automation and modern DevOps principles.
• Experience delivering technology products into production environments.
• Knowledge of containerisation, orchestration, monitoring and platform observability.
• The ability to coach teams, communicate clearly, and lead through ambiguity.

What They Offer

• A modern engineering environment with significant autonomy to build and shape a new function.
• Career progression through major cloud, automation and digital transformation programmes.
• Benefits package and long‑term development opportunities.

How to Apply
To apply, please send your CV, along with your salary information!

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Lead Product Manager

London. Up to 110000 base plus bonus and benefits.

This is a rare opportunity to take ownership of AI and machine learning product strategy within a high-growth consumer fintech. You will lead the discovery, scoping and implementation of intelligence-led experiences across a platform used by more than a million customers, with full autonomy to shape how AI enhances journeys, recommendations and personalised guidance.

The Company
They are a mission-led consumer finance business with a rapidly scaling mobile app and a strong reputation for customer-centric product design. After significant growth, they are now investing heavily in AI and ML for the first time and are building out new capabilities to deliver more personalised, context-aware experiences. You will join a collaborative product organisation based in London, working closely with engineering, data and decisioning teams.

The Role
You will:
* Define where and how AI and ML can be applied across the customer journey to drive personalisation and intelligent guidance.
* Lead end-to-end product management, from problem identification through to delivery and measurement.
* Provide strategic direction to teams with limited AI experience and champion best practices.
* Partner with engineering, design, data and decisioning teams to scope opportunities and define requirements.
* Drive systems-level thinking across journeys, ensuring intelligence is embedded consistently and effectively.
* Influence senior stakeholders and shape the long-term AI product roadmap.

Your Skills and Experience
You will bring:
* Strong experience delivering AI or ML‑enabled features in consumer mobile apps.
* A background in end-to-end product management with a focus on personalisation, recommendations or intelligent automation.
* The ability to think in systems and design experiences that span multiple journeys.
* Strong collaboration skills and confidence working with data, engineering and leadership teams.
* An individual contributor mindset with high influence and strategic ownership.

What They Offer
* Salary up to 110000 plus a 15 percent bonus and a comprehensive benefits package.
* Hybrid working with two days a week in their London office.
* High strategic impact as the first product hire dedicated to AI and ML.
* The chance to shape greenfield AI capability across a major consumer platform.

How to Apply
If you are a consumer-facing Product Manager with experience delivering AI or ML features and want to take ownership of a transformative roadmap, apply today.

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Senior Data Analyst
London (Hybrid) | FTC | Up to £60,000 + benefits

Join a high-impact data team where your analysis directly shapes industry thinking, public policy discussions, and senior stakeholder decisions. This is a great opportunity if you enjoy turning complex data into clear, influential insight and want a role that balances technical work with meaningful stakeholder engagement.

The Company

They are a well-established UK membership organisation within the financial services sector, known for their influential work on policy, regulation, and market issues. Their members include many household-name firms, and they are trusted to provide robust analysis and insight that informs key decisions. They foster a collaborative culture where data, policy, and communications teams work closely together. You will join a supportive environment that values curiosity, ownership, and continuous learning.

The Role
As Senior Data Analyst, you will be a core member of the data analytics team, responsible for turning member and third-party data into actionable insight. Your work will support internal policy specialists, senior leaders, and external stakeholders.
You will:

• Lead on the collection, cleaning, and analysis of data from member organisations and external sources.
• Use SQL and Excel as core tools to manipulate large, complex datasets and build robust analysis.
• Develop clear, engaging dashboards and visualisations in Power BI to communicate trends and performance.
• Combine internal data with third-party sources such as survey datasets, market statistics and official data to create meaningful insight.
• Work closely with policy and communications teams to provide data support on ad hoc projects, publications, and media responses.
• Contribute to regular market and diversity reporting, including survey design, data validation, and reporting of results.
• Present findings to colleagues with varying levels of data literacy, tailoring your communication to maximise understanding and impact.
• Help identify opportunities to improve data processes, tools, and methodologies across the analytics function.

Your Skills & Experience
You will be a strong fit if you can demonstrate:

• Strong commercial experience working with SQL to extract and manipulate data.
• Advanced Excel skills, including working with large datasets, complex formulas, and quality checks.
• Experience using a data visualisation tool, ideally Power BI, to build clear dashboards and reports.
• Proven experience working with third-party data sources such as market research, survey data, official statistics, or regulatory datasets.
• A track record of creating insight by combining internal and external data to answer business or policy questions.
• Confident communication skills, with experience explaining analysis to non-technical stakeholders and adapting your message to different audiences.
• Strong organisational skills, with the ability to manage multiple projects and deadlines.
• Desirable: experience in financial services, insurance, or market research, and exposure to Python for more advanced analysis.

What They Offer

• Salary up to £60,000 depending on experience, plus an annual discretionary bonus.
• FTC position with genuine opportunity to broaden your toolkit and influence high-profile work.
• Hybrid working model, typically around two days per week in a modern City of London office.
• 25 days annual leave plus an additional day off for your birthday.
• Private medical cover, gym membership, eye care support, and a structured mental wellbeing plan.
• Access to a range of leadership, training, and professional development opportunities.
• A friendly, collaborative team culture where your ideas are listened to and your work is visible.

How to Apply
If you are a data professional who enjoys combining technical skills with real-world impact, please apply with your CV to find out more.

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Strategy Analytics Manager
London. Up to 90000 base plus benefits.

This is an opportunity to shape approval strategy in a fast-growing fintech environment, working closely with senior leaders to improve credit decisioning, customer conversion, and overall portfolio performance. You will join a data-first organisation where analytical thinking directly influences commercial outcomes.

The Company
They are a London-based fintech offering innovative consumer and business products, built on a modern lending and subscription-style model. The company operates with strong backing, a proven path to profitability, and a growing international footprint. Data, experimentation, and strategic analytics form the basis of how they make decisions, and they are scaling their Strategy and Analytics team with high-calibre talent.

The Role
You will:
* Lead strategic initiatives focused on improving approval rates and credit decision quality across multiple product lines.
* Use strong SQL capability to interrogate complex datasets and identify drivers of risk, conversion, and performance.
* Build scalable frameworks for tracking and monitoring approval strategies.
* Partner with growth, marketing, product, and risk teams to balance commercial objectives with customer outcomes.
* Test and iterate on approval and underwriting strategies in response to market conditions.
* Present data-driven recommendations to senior stakeholders and influence key decisions across the business.

Your Skills and Experience
You will bring:
* Strong commercial experience in lending, credit risk, approvals, underwriting strategy, or similar data-led environments.
* Advanced SQL skills, including experience working directly with complex, multi-source data.
* Proven ability to use data insights to drive measurable strategy changes.
* Experience collaborating across teams and communicating with non-technical stakeholders.
* A strong quantitative or STEM background.
* Python is beneficial but not essential.

What They Offer
* Up to 90000 base salary plus benefits and share options.
* Hybrid working pattern with three days a week in the London office.
* Exposure to experienced leaders in a high-performing Strategy and Analytics function.
* Clear progression opportunities as the business continues to scale in the UK and internationally.

How to Apply
If you have strong SQL skills and experience shaping data-driven strategy in lending or analytical environments, apply today to learn more.

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Analytics Manager

London, Hybrid | Up to £90,000 + bonus

This is a great opportunity to step into a visible Analytics Manager role where you will shape data-driven solutions for major financial services clients. You will lead a small team, own client relationships, and turn complex property and mortgage data into actionable insight that directly influences products and commercial decisions.

The Company

They are a specialist data and analytics business that supports banks, lenders, and financial services organisations with property, mortgage, and credit risk insight. Their products and analytics help clients make faster, smarter lending decisions using robust data and advanced modelling. You will join a collaborative analytics team that partners closely with product and commercial colleagues. The culture is dynamic, supportive, and geared towards innovation and continuous improvement.

The Role

As Analytics Manager, you will:

• Lead and mentor a team of analysts, managing day-to-day delivery and supporting their development.
• Own the delivery of analytics solutions for financial services clients, with a particular focus on property and mortgage data.
• Work directly with clients to understand their challenges and translate these into data-driven solutions.
• Present analytical insight to senior stakeholders, clearly explaining complex concepts to technical and non-technical audiences.
• Partner with product and commercial teams to shape new features and propositions using data.
• Support pre-sales activity by exploring client data, scoping solutions, and demonstrating the value of analytics.
• Proactively identify trends, risks, and opportunities in client and market data to inform product and strategy.

Your Skills And Experience

You will be a strong fit if you have:

• Solid commercial experience in analytics within financial services, mortgages, credit risk, or a closely related area.
• Proven experience leading or mentoring analysts, with the ability to manage delivery across multiple projects.
• Strong technical skills in Excel and SQL, with working knowledge of Python for analysis and modelling.
• A data storytelling mindset, able to turn complex analysis into clear, actionable insight for clients.
• Experience working with or alongside banks, mortgage lenders, or credit decisioning teams.
• A highly numerate, analytical approach with a creative, problem-solving mindset.
• Strong stakeholder skills, with confidence presenting to senior, technical and non-technical audiences.
• An interest in property, housing, and mortgage markets.

What They Offer

• Base salary up to £90,000, plus bonus and competitive benefits.
• Hybrid working, with 2 days per week in the London office and set team time together on Tuesdays.
• The chance to lead a high-impact analytics function with direct exposure to senior stakeholders and major financial institutions.
• Clear progression opportunities as the analytics and product functions continue to grow.
• A collaborative environment where new ideas, curiosity, and innovation are encouraged.

How To Apply

If you are an Analytics Manager, or a senior analyst ready to step up, and you are excited by the blend of client-facing work, team leadership, and hands-on analytics in London, apply with your CV to find out more.

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