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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 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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Principal Data Scientist

London

If you’re a hands-on Data Science / AI specialist who loves solving real operational problems, this role puts you right at the heart of client delivery. You’ll shape the problems, design and build the solutions, and see your models deployed into live environments – not parked as endless POCs.

THE COMPANY

This fast-growing consulting firm helps organisations across the public sector, defence and commercial markets deliver measurable improvements in performance through data, AI and digital solutions. They are building a modern AI & Digital capability that sits at the front of transformation programmes, working shoulder-to-shoulder with clients on their toughest operational challenges.

THE ROLE

As a Lead Data Scientist, you will blend hands-on technical work with consulting, stakeholder management and practice-building.

• Identifying high-impact Data Science, Machine Learning, AI and simulation opportunities on client engagements
• Scoping and shaping problems, designing experiments and roadmaps, and then building and deploying models end-to-end
• Leading technical workstreams, managing small teams and ensuring projects are delivered on time and to a high standard
• Translating complex technical concepts into clear, compelling narratives for non-technical senior stakeholders
• Coaching and mentoring consultants to build their capabilities in DS/ML/AI and modern analytics

YOUR SKILLS & EXPERIENCE

• Strong background in Data Science, Machine Learning, AI, simulation or advanced analytics, with clear examples of end-to-end delivery
• Proven ability to shape, not just execute: from defining the problem and designing the solution, through to delivery and measurement of impact
• Consulting capability – comfortable running client workshops, identifying opportunities, influencing senior stakeholders and supporting pitches
• Evidence of measurable commercial or operational impact (e.g. revenue growth, cost reduction, efficiency gains, service improvement)
• Hands-on experience building models and turning prototypes into robust, production-ready solutions
• Experience leading teams or technical workstreams in a project environment
• UK citizenship (for security clearance purposes) and willingness to travel across the UK 2-3 days per week, depending on client needs

Nice-to-have experience:

• Background in a consulting environment or a high-performing in-house DS/AI team
• Exposure to sectors such as defence, public sector and consumer/retail
• Familiarity with modern data and AI tooling such as Python, Spark, Databricks, Azure cloud, and Generative AI platforms (experience with specific tools is helpful but not essential)
• A mix of technical, product and operational experience – comfortable talking both code and business outcome

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Lead / Principal Data Scientist

TRAVEL ACROSS THE UK REQUIRED

This is a great opportunity to join a growing consultancy and lead digital, AI, and analytics solutions that deliver real operational impact across the UK.

The Company
They are a specialist consulting organisation that helps complex public and private sector clients improve performance through data, AI, and digital tools. Their culture is collaborative, outcome focused, and built around delivering practical solutions that stick. With digital capability expanding rapidly, you will help shape how they deliver technology driven change.

The Role
* Identify opportunities to apply AI, analytics, and digital tooling.
* Lead technical workstreams from design through to implementation.
* Work closely with client teams on site across the UK.
* Translate technical concepts for non‑technical audiences.
* Support the development of colleagues and digital practices.

Your Skills and Experience
* Strong commercial experience delivering digital or AI solutions end to end.
* Expertise in at least one of AI, data science, analytics, or digital engineering.
* Confident leading multi‑disciplinary teams.
* Clear communication and stakeholder engagement skills.
* Flexible to travel to client sites across the UK.

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Principal AI Engineer – South West London (1-2 days a week)

GCP REQUIRED

We are working with a growing, tech-driven insurance company looking for an AI Engineer to help build and deploy production-grade AI systems. You’ll play a key role in shaping AI‑first products, developing end‑to‑end agents, and creating robust evaluation and monitoring frameworks.

Responsibilities:

• Build and operate AI-powered products that deliver measurable outcomes.
• Develop production-ready AI agents on GCP, including secure API integrations.
• Integrate agent capabilities into applications using MCP servers and supporting tools.
• Develop reliable RAG pipelines, including ingestion, chunking, metadata and vector search.

Required:

• Strong Python skills for backend, APIs, testing and async patterns.
• Practical experience with LLMs, embeddings, prompt/function calling and vector databases.
• Solid knowledge of GCP services (Vertex AI, BigQuery, Cloud Run/Functions) and Google’s ADK.
• Experience with document processing, text normalisation and storage systems (Postgres, Redis, GCS/BigQuery).
• Familiarity with DevOps practices: Git, CI/CD, Docker, observability and automated testing.
• A product-focused mindset and the ability to translate needs into intuitive AI workflows.

To Apply for this Job Click Here

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Principal AI Platform Engineer

London

This is a standout opportunity to join a digital‑first insurer that is scaling an entirely new AI function. You will be the first permanent hire into a growing division, giving you direct ownership of production AI systems, end‑to‑end agentic automation, and the technical direction of a brand‑new platform.

The Company

They are a tech‑led insurer transforming how complex home insurance is delivered. Their vision is to become the UK’s first fully AI‑driven insurer, supported by modern cloud infrastructure and a collaborative product‑focused culture.

The Role

You will play a lead role in shaping, building, and scaling their AI platform, working closely with an AI Product Manager and senior leadership. Your work will focus on making AI production‑ready, highly scalable, and reliable across the business.

Key responsibilities include:

* Designing and delivering an AI platform that supports large‑scale agentic automation and end‑to‑end claims journeys

* Building robust RAG pipelines, LLM‑based systems, and deployment frameworks

* Developing AI agents for claims handling, internal tooling, and customer‑facing chat solutions

* Evolving an internal AI assistant and expanding its capabilities across teams

* Working hands‑on across cloud infrastructure, observability, evaluation, and optimisation

* Collaborating with engineering, product, and operations teams to take roadmap concepts into production

Your Skills and Experience

* Strong commercial experience in AI engineering or software engineering with a focus on LLMs and production AI systems

* Expertise in deploying AI models and agents at scale, including RAG, embeddings, and LLM tooling

* Hands‑on cloud engineering experience, ideally in GCP and its AI ecosystem

* Strong Python engineering ability and experience building production‑grade services

* Experience working with vector search, data ingestion, observability, and experimentation frameworks

* A STEM background or equivalent technical capability

What They Offer

* Salary up to 90,000 plus benefits

* Hybrid working with 1-2 days per week in their Sheffield office

* The chance to join as the first hire in a scaling AI division with a 10‑role roadmap

* Significant autonomy, influence, and end‑to‑end ownership of AI platform design

* The opportunity to build cutting‑edge agentic systems and production AI from the ground up

How to Apply

If you are excited by the opportunity, please apply with your CV.

To Apply for this Job Click Here

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Senior Data Scientist – Applied Modeling

REMOTE – US

$170,000-$200,000 + Equity

We’re recruiting for a high‑growth AI technology company whose products power audience modeling, bid optimisation, contextual targeting, and measurement for major brands. They are looking for a Senior Data Scientist to own model performance in production, working across both experimentation and real‑world optimisation.

This is a hands‑on applied role, deeply connected to product and engineering teams.

What you’ll be doing

• Building, configuring, and improving models for audience scoring, lookalikes, optimisation & measurement
• Running diagnostics, drift detection, lift analysis, and performance tuning
• Developing pipelines and feature workflows in Python, SQL, and PySpark
• Supporting experimentation frameworks and producing actionable insights
• Collaborating with product, engineering, and client‑facing teams
• Feeding field learnings back into the modeling lifecycle

What they’re looking for

• 5+ years in Data Science / ML
• Strong Python, PySpark, SQL, and ML frameworks (PyTorch/sklearn)
• Experience owning models in production, not just research
• Strong communication and ability to translate model outputs into business decisions
• Experience with NLP or contextual models is a strong plus

Why this role

• Models directly tied to real‑world performance
• High variety across modeling, experimentation, and production ownership
• Opportunity to shape the next generation of applied ML products
• Strong compensation + equity package

HOW TO APPLY

If you want a high‑impact DS role where your models drive real‑world outcomes, we’d love to hear from you.

To Apply for this Job Click Here

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Principal Machine Learning Engineer – ML Platform

REMOTE – US

$180,000-$230,000 + Equity

We’re partnered with a scaling AI‑driven technology company building large‑scale, production‑grade ML systems used in real‑time decisioning. They’re seeking a Senior Machine Learning Engineer who loves production ML over research, with an emphasis on distributed compute, reliability, and end‑to‑end ownership.

This is a role for someone who enjoys shaping platform architecture while still being hands‑on.

What you’ll be doing

• Designing, training, and deploying high‑scale ML models used in live systems
• Building distributed training pipelines (PyTorch, Ray)
• Owning the ML lifecycle across feature engineering, training, evaluation, inference, monitoring
• Improving ML reliability, observability, and reproducibility
• Working closely with engineering, SRE, and product to shape platform direction
• Contributing to ML architecture standards, CI/CD, and testing frameworks

What they’re looking for

• Strong experience delivering production ML systems end‑to‑end
• Expertise with Python, PyTorch, distributed compute (Ray, Spark)
• Background in large‑scale data processing and MLOps tooling
• Ability to diagnose production issues and drive architectural improvements
• Experience with event‑driven ML and model deployment frameworks is a plus

Why this role

• High ownership of ML platform direction
• Complex, real‑world ML workloads at meaningful scale
• Opportunity to improve and evolve existing infrastructure
• Equity + strong compensation package

HOW TO APPLY

If you’re passionate about building robust, scalable ML systems that drive real business impact, apply now.

To Apply for this Job Click Here

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Partner – Head of AI & Strategy (Boutique Consultancy)

REMOTE – East & Central US

$400,000 – $600,000 OTE + Equity

We’re supporting a boutique global advisory firm that is expanding its US AI & Data Strategy practice. This is a rare opportunity to build a business from the ground up while leveraging an established international brand and existing enterprise relationships.

This role is suited to someone who combines commercial leadership, AI/Data strategy expertise, and a strong track record of originating new business with the C‑suite.

What you’ll be doing

• Launching and scaling the firm’s US AI & Data practice
• Owning revenue generation and closing transformational AI/Data programs
• Building and deepening C‑level relationships (CEO, CIO, CDO, COO)
• Defining US go‑to‑market strategy and identifying priority verticals
• Establishing credibility in the US AI strategy ecosystem
• Potentially hiring and shaping the early US team over time

What they’re looking for

• 8+ years in strategy consulting within Data/AI transformation
• Proven revenue ownership and ability to build a book of business from zero
• Strong experience selling to senior executives
• US‑based: East Coast or Central time zones
• Someone entrepreneurial who thrives without heavy corporate structure

Why this role

• First US Partner hire with genuine autonomy
• High financial upside + equity
• Ability to shape a national practice and own market strategy
• Direct exposure to senior global leadership

HOW TO APPLY

If you want to build and lead a high‑impact AI strategy practice in the US market, apply today.

To Apply for this Job Click Here

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AI Engineer
London, hybrid working (2-3 days per week in the office)
Up to 80,000 base plus 10 percent bonus and benefits

If you want to build meaningful AI products, work with modern tooling, and shape how a fast‑growing consumer brand uses data, this role gives you the autonomy, variety, and technical challenge to step up and make visible impact.

The Company

They are a high‑growth consumer brand with a strong digital presence and millions of active users. Their success has been driven by innovative tech, data‑driven decision making, and a commitment to enhancing customer experience through personalisation. You will join a business that invests heavily in AI and gives engineers the space to deliver production‑ready solutions that genuinely move the needle.

The Role

As an AI Engineer, you will work across GenAI and traditional ML, delivering end‑to‑end solutions that improve both customer experience and internal operations.
Key responsibilities include:
* Building GenAI features for customer‑facing products, including conversational and visual experiences.
* Applying LLMs to internal automation projects that unlock significant time savings across the business.
* Engineering scalable pipelines and services for supervised and unsupervised ML models, including recommenders, forecasting, and segmentation.
* Collaborating closely with data scientists, engineers, and product teams to design and deploy production‑ready solutions.
* Working within a cloud‑native environment and contributing to a modern AI and ML engineering stack.

Your Skills and Experience

* Strong commercial experience with Python and familiarity with cloud‑native development, ideally GCP.
* Ability to explain technical concepts clearly and work collaboratively with non‑technical teams.
* Experience applying AI or ML in real product or workflow settings.
* Solid understanding of core ML engineering principles and production best practices.
* A STEM degree and a genuine interest in AI innovation.
* Comfortable working in an environment where you have autonomy but also clear processes to follow.

What They Offer

* Up to 85,000 base salary plus 10 percent bonus.
* Hybrid working with flexibility; Thursdays on site are required.
* A benefits package including product discounts, wellbeing perks, life assurance, and additional lifestyle rewards.
* A role where you will work across GenAI, deep learning, MLOps, and recommender systems.
* The chance to have a significant impact in a lean, high‑performing team during an exciting growth phase.

How to Apply

If you are interested in this AI Engineer role, please apply with your CV and we will be in touch.

To Apply for this Job Click Here

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Junior Data Scientist

London
Competitive salary between £45,000 – £55,000 plus benefits

This is an excellent opportunity for an aspiring Data Scientist to step into a role offering early ownership, broad project exposure and genuine career progression. If you are looking for a position where you can grow quickly, develop strong consulting skills and work across a wide range of industries, this role stands out.

The Company

They are a well-established, global consultancy with a growing Data and Analytics function at the heart of their European business. The team combines technical capability with strategic insight, supporting clients across multiple sectors. You will join a collaborative group where learning is prioritised and downtime between projects is used for development, training and internal innovation.

The Role

As a Data Scientist, you will work across both client-facing and internal initiatives, typically focusing on one main project at a time.

Responsibilities include:

• Supporting client engagements, from exploratory data analysis to dashboards and statistical insights.
• Building and contributing to modelling and analytics workstreams with guidance from experienced team members.
• Working on internal projects, including proposals, tooling and machine learning initiatives.
• Collaborating with technical and non-technical colleagues to deliver clear, actionable insights.
• Gaining exposure to a wide range of industries, from life sciences and healthcare to transport, logistics and financial services.

Your Skills and Experience

You will bring:

• Strong Python skills and a solid grounding in data science principles.
• Effective communication skills and the ability to explain your work clearly.
• A proactive mindset and an interest in consulting-style problem solving.
• Experience with SQL or cloud platforms is a bonus, and quick to learn.
• A Bachelors or Masters in a quantitative field, with PhD backgrounds also welcome.

What They Offer

• Competitive salary between £45,000 – £55,000 plus a 5,000 first‑year sign‑on bonus.
• Company profit‑share bonus scheme, typically around 7 percent.
• Comprehensive benefits including private health insurance, life insurance, disability cover, travel insurance and a pension scheme.
• Wellbeing and work-from-home allowances.
• Eye care and cycle vouchers.
• A supportive culture with strong development pathways and clear upward mobility.
• Hybrid working from a central London office.

How to Apply

If you are ready to grow your data science career in a consultancy environment, apply below or email me at for more information.

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