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Are you a Data Scientist who enjoys building real‑world models that drive commercial decisions, not just experimentation? I’m hiring for a Data Scientist to join a leading data and analytics consultancy working across customer insight, marketing, and predictive modelling.

This is a brilliant opportunity to work on high‑impact data products, combining advanced analytics, business understanding, and client‑facing delivery in a collaborative, product‑focused environment.

The company

This is a well‑established data consultancy that sits at the intersection of data provision, analytics, and product development. They work with high‑volume customer data across sectors like utilities, telecoms, financial services, and charities – using data to solve real commercial problems and drive better decisions.

They’ve built out a Customer Intelligence Platform, where data science, analytics, and product teams collaborate to create scalable, reusable data products.

Where you fit

You’ll sit within the Data Science team, working closely with Product Managers, Data Analysts, and subject‑matter experts.

This is a hands‑on modelling role with strong client interaction, where you’ll take problems from discovery through to delivery – combining technical expertise with commercial thinking.

What you’ll be doing

• Build predictive models (often propensity modelling / scoring models) to solve real customer and business problems
• Work directly with clients to understand challenges, run discovery sessions, and shape analytical approaches
• Develop and refine models, including training, testing, and optimisation
• Lead rapid prototyping and proof‑of‑concept work using Databricks notebooks
• Define features, model structures, and scoring outputs for data products
• Translate analytical outputs into clear, actionable insights and presentations for clients
• Contribute to the development of scalable, reusable data products within the platform

Example project

You might build a model that predicts which customers are most likely to repay debt, then segment them to determine the best engagement strategy – using behavioural and demographic patterns to optimise outcomes.

Tech stack

• Python & SQL (essential)
• Databricks (core analytics environment)
• Azure‑based data platform (with flexibility depending on client environments)

What you bring

Must‑haves

• 3+ years experience in data science
• Strong Python and SQL skills
• Experience building and evaluating predictive models
• Understanding of data modelling and feature engineering
• Ability to translate data into clear commercial insight and recommendations
• Confident communicator – comfortable working directly with clients
• Consultancy or client‑facing experience

Nice to have

• Experience with Databricks or cloud platforms (Azure, etc.)
• Background in customer, marketing, or transactional data
• Exposure to industries like telecoms, financial services, or utilities

Why this role

• Work on end‑to‑end data science projects – not just isolated modelling
• Strong balance of technical work and commercial impact
• Opportunity to contribute to product development and innovation
• Exposure to multiple clients, industries, and use‑cases
• Collaborative team environment with analysts, SMEs, and product teams

Working pattern

• Hybrid: 1 day per week in London
• Open to candidates based in the Midlands who can commute weekly
• Additional flexibility for the right candidate
• UK travel to clients may be required depending on project work

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Associate Kubernetes Engineer (AI / Machine Learning Infrastructure)

A globally recognized enterprise technology organization is hiring an Associate-level Kubernetes Engineer to join a highly strategic Machine Learning Platform Engineering team responsible for building and scaling the cloud-native infrastructure powering AI and machine learning systems across the company.

This team sits at the intersection of Kubernetes, cloud infrastructure, GPU-accelerated computing, distributed systems, and machine learning platform engineering, supporting internal data science and engineering teams building next-generation AI systems at enterprise scale.

Why This Opportunity Stands Out

The organization is making a significant long-term investment in modernizing its firm-wide AI and machine learning infrastructure, transitioning from legacy hybrid environments into fully cloud-native, Kubernetes-based platforms optimized for GPU-enabled AI workloads and large-scale model deployment.

This is an opportunity to work on infrastructure supporting the entire machine learning lifecycle – from model training and experimentation through inference and production deployment – while learning directly from a highly senior engineering team operating at exceptional scale.

Key Responsibilities

• Deploy and operate production-grade Kubernetes clusters supporting machine learning workloads
• Support internal ML engineers by maintaining infrastructure for model training, experimentation, deployment, and real-time inference
• Build and maintain GPU-enabled infrastructure environments supporting AI workloads
• Deploy and integrate machine learning tooling including Kubeflow, notebook environments, inference services, and model runtime infrastructure
• Work with cloud-native infrastructure as the organization migrates fully toward Google Kubernetes Engine (GKE)
• Support deployment and operationalization of Large Language Models (LLMs) for internal enterprise use cases
• Improve platform reliability, scalability, observability, and system performance across distributed environments

Required Experience

• Strong hands-on experience with Kubernetes (deploying workloads, not simply cluster administration)
• Experience supporting machine learning infrastructure or ML tooling on Kubernetes
• Understanding of the machine learning development lifecycle (training, experimentation, deployment, inference)
• Programming experience with Python or Go
• Experience working with cloud-native infrastructure environments
• Strong understanding of distributed systems and infrastructure reliability

Preferred Experience

• GPU workload deployment
• NVIDIA operator experience
• Kubeflow or notebook environments
• Kubernetes controllers / CRDs
• Google Kubernetes Engine (GKE)
• Exposure to production AI or LLM deployment infrastructure

Compensation & Location

• Compensation highly competitive with strong bonus structure
• Locations: New York / New Jersey, Toronto, or Dallas
• Primarily onsite environment with some team-level flexibility
• Visa sponsorship available

This is an exceptional opportunity for engineers looking to deepen expertise at the intersection of Kubernetes, AI infrastructure, cloud-native systems, and next-generation machine learning platforms operating at enterprise scale.

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Forward Deployed Engineer

Location: San Francisco, CA (Hybrid – 3 days onsite)

Compensation: $200,000-$225,000 base + bonus + equity

Work Authorization: No Sponsorship

About the Role

This role is best suited for product-minded software engineers who enjoy solving customer problems as much as writing code.

You’ll work directly with enterprise customers to understand complex workflows, rapidly build AI-powered prototypes, and validate solutions that can evolve into core product capabilities. Rather than spending months designing systems, you’ll be expected to move quickly-taking an idea from a customer conversation to a working proof of concept in just a few days.

You’ll operate at the intersection of Engineering, Product, and Customer Success, helping shape both individual customer outcomes and the long-term product roadmap.

What You’ll Do

• Work directly with enterprise customers to understand business challenges and technical requirements.
• Design and build AI-powered MVPs and proof of concepts on rapid timelines.
• Demo solutions, gather customer feedback, and iterate quickly.
• Partner with Product Managers and Software Engineers to productionize successful prototypes.
• Leverage modern AI development tools to dramatically accelerate engineering velocity.
• Influence future platform capabilities through direct customer insights and product feedback.

What We’re Looking For

• 3-7+ years of backend software engineering experience.
• Strong Python development skills (TypeScript or Node.js experience is highly valued).
• Excellent product sense and customer empathy.
• Proven ability to ship working software quickly in ambiguous environments.
• Comfortable using AI coding assistants such as Claude Code, Codex, Cursor, or similar tools.
• Strong communication skills and confidence presenting technical solutions to customers.
• High agency, curiosity, and a bias toward action.

Ideal Backgrounds

• Forward Deployed Engineer
• Growth Engineer
• Product Engineer
• Founding Engineer or early-stage startup engineer
• AI-native B2B software companies
• Engineers who have built customer-facing products from idea to production

Why Join?

This is an opportunity to build AI-powered products where speed, ownership, and customer impact matter. You’ll have significant influence over product direction, work alongside experienced engineering leadership, and help define how AI-native software is delivered to enterprise customers.

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Fullstack Software Engineer

Location: New York, NY (5 days onsite)
Pay: $200k – $400k Base + Bonus & Equity
No Sponsorship

Overview

A fast-growing, highly innovative technology company operating at the forefront of AI and predictive analytics is building advanced simulation systems to model human behaviour at scale. Their platform enables organisations to make smarter decisions across strategy, product development, and customer engagement by leveraging cutting-edge artificial intelligence.
This is a high-impact opportunity to join a small, elite team focused on solving complex problems with speed, ownership, and minimal bureaucracy. The environment suits engineers who thrive in ambiguity and want to build foundational systems that drive real-world outcomes.

Responsibilities:

• Design and build core platform systems that underpin advanced AI-driven products
• Develop scalable frameworks and abstractions to simplify complex simulation capabilities
• Identify patterns across user workflows, product needs, and system capabilities
• Collaborate closely with product, research, and design teams to translate innovation into usable features
• Own platform architecture decisions from initial design through iteration and scaling
• Build developer-friendly systems that support a wide range of technical users
• Write high-leverage, reusable code that reduces complexity across the product

Must-Have Qualifications:

• Experience building platforms, developer tools, or workflow-heavy software products
• Strong backend or full-stack engineering background with experience in scalable systems design
• Proven ability to simplify complex technical systems into intuitive user experiences
• Experience working cross-functionally with product, research, or customer-facing teams
• Demonstrated ownership of system architecture and end-to-end product delivery
• Ability to operate effectively in ambiguous, fast-paced environments

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Head of AI & Machine Learning
$250,000 – $325,000 Base + Equity

Remote, United States. Competitive salary plus equity and benefits.

This is a rare opportunity to define and lead an AI strategy within a high-growth technology environment. You will combine hands-on machine learning expertise with strategic leadership, shaping how advanced AI capabilities drive real-world impact across a sophisticated product suite.

The Company
They are a fast-growing technology business operating within a highly data-driven environment, focused on transforming complex workflows through intelligent automation. Their platform supports large-scale data processing and decision-making for enterprise clients, helping to modernise manual, document-heavy processes. With strong backing and ambitious growth plans, they are investing heavily in AI to enhance product capability and maintain a competitive edge. This role sits at the centre of that transformation.

The Role

• Define and deliver the AI and machine learning strategy, aligning with product and business objectives
• Design, build, and deploy advanced NLP and document intelligence models for extracting and processing unstructured data
• Lead the full ML lifecycle including data ingestion, feature engineering, model development, evaluation, and deployment
• Explore and implement modern AI approaches such as large language models, embeddings, and retrieval augmented systems
• Build, mentor, and scale a high-performing machine learning team
• Collaborate with product and engineering teams to identify high-impact use cases and deliver scalable solutions
• Establish best practices for model monitoring, observability, and performance optimisation
• Provide technical and strategic guidance to senior stakeholders on AI opportunities and risks

Your Skills & Experience

• Strong commercial experience building and deploying machine learning models, particularly within NLP or document intelligence
• Expertise in processing unstructured or semi-structured data into structured outputs
• Proficiency in Python and modern machine learning frameworks such as PyTorch or similar
• Experience deploying models in production environments using cloud platforms and containerised workflows
• Proven ability to lead and develop technical teams while remaining hands-on
• Strong understanding of the full machine learning lifecycle and best practices in model evaluation and monitoring
• Ability to communicate complex technical concepts to a range of stakeholders

What They Offer

• Competitive salary and equity package
• Fully remote working with flexible arrangements
• Comprehensive healthcare and retirement benefits
• Generous holiday allowance and parental leave
• Clear progression path with the opportunity to shape and lead an AI function
• High impact role within a growing, innovation-focused business

How to Apply
If you are interested in leading cutting-edge AI initiatives in a high-growth environment, apply now to learn more.

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Senior NLP Engineer

UK remote

The Company
They are a fast-growing technology business specialising in AI-driven analysis of communication data. Their platform is designed for high-volume, real-time environments where accuracy and scalability are critical. The organisation works at the intersection of AI, data, and compliance, with strong investment in innovation and product development. You will join a collaborative, distributed team with regular opportunities to connect in person across global locations.

The Role

• Own end-to-end delivery of NLP and AI features, from data ingestion through to deployment and optimisation
• Build pipelines to process and analyse multimodal data including audio, video, text, and images
• Develop capabilities across transcription, classification, and modelling at production scale
• Design systems for analysing, supervising, and archiving large volumes of communication data
• Work closely with product and cross-functional teams to define requirements and deliver impactful solutions
• Contribute to communication and knowledge sharing across engineering and business teams

Your Skills and Experience

• Strong commercial experience in NLP and machine learning, with models deployed into production
• Experience working with LLMs and/or multimodal AI systems
• Solid understanding of data pipelines, ingestion, and preprocessing for unstructured data
• Proficiency in building scalable systems that handle high-volume data workloads
• Strong software engineering fundamentals and experience in collaborative development environments
• Ability to translate complex technical work into clear business outcomes

What They Offer

• Competitive salary
• Fully remote working within the UK
• Regular team meetups, including annual global gatherings and European events
• Opportunity to work on complex, high-impact AI challenges
• Clear progression within a growing AI and engineering function
• Inclusive and collaborative culture that values diverse perspectives

How to Apply
Apply with your CV to find out more about this opportunity.

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Marketing Data Analyst – Marketing Analytics, Marketing Science

London | Hybrid (3 days office / 2 WFH)

Up to £60,000

We’re partnering with a customer experience and marketing analytics agency within a global advertising network. The team combines analytics, data science, and marketing effectiveness to help brands better understand and engage their customers.

The Role

You’ll support delivery of marketing and customer analytics across multiple client accounts, working closely with internal teams and stakeholders.

Key areas:

• Campaign performance and post-campaign analysis

• Customer journey and behavioural analysis

• Marketing effectiveness reporting

• Dashboard maintenance and reporting

• Insight delivery using GA4 and similar tools

What We’re Looking For

• 1-2 years’ experience in marketing or digital analytics

• Strong SQL and/or Python (either acceptable)

• Experience with GA4, Adobe Analytics or similar tools

• Basic data visualisation skills

• Degree in a quantitative subject (or equivalent experience)

• Agency/consultancy experience beneficial

• Curious, proactive, and comfortable in fast-paced environments

Why Join?

• Exposure to major brand clients

• Broad mix of marketing and customer analytics work

• Strong learning environment

• Opportunity to rotate across accounts

Interview Process

• Stage 1: Competency & experience interview

• Stage 2: In-person interview with task/presentation

Find out more and apply via the link below!

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Marketing Data Analyst – 12 month FTC

London – Hybrid (3 days office)
Up to £80,000 + benefits

We’re working with a FTSE 250 fintech operating a large-scale digital trading and investment platform. The business is fast-moving, data-driven, and heavily invested in analytics across marketing, product, and customer growth.

The Role

You’ll join a specialist analytics team focused on Performance Marketing, delivering insight to optimise acquisition, conversion, and campaign effectiveness.

Key areas:

• Performance marketing & campaign analysis
• A/B testing & experimentation
• Digital funnel & customer acquisition analysis
• Google Analytics reporting
• Stakeholder-facing insight & recommendations

What We’re Looking For

• Strong SQL (essential)
• Performance marketing / digital analytics experience
• A/B testing & experimentation exposure
• Google Analytics experience
• DBT exposure (nice to have)
• Tech, fintech or scale-up background preferred
• Strong communication & stakeholder skills

Why Join?

• FTSE 250 fintech environment
• Large-scale digital & customer datasets
• Strong investment in analytics
• High commercial impact & visibility

Interview Process

• Stage 1: Online SQL assessment (1 hour, Codility)
• Stage 2: Final interview (1 hour)

Find out more and apply via the link below!

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Marketing Data Analyst

London – Hybrid (3 days office)
Up to £80,000 + benefits

We’re working with a FTSE 250 fintech operating a large-scale digital trading and investment platform. The business is fast-moving, data-driven, and heavily invested in analytics across marketing, product, and customer growth.

The Role

You’ll join a specialist analytics team focused on Performance Marketing, delivering insight to optimise acquisition, conversion, and campaign effectiveness.

Key areas:

• Performance marketing & campaign analysis
• A/B testing & experimentation
• Digital funnel & customer acquisition analysis
• Google Analytics reporting
• Stakeholder-facing insight & recommendations

What We’re Looking For

• Strong SQL (essential)
• Performance marketing / digital analytics experience
• A/B testing & experimentation exposure
• Google Analytics experience
• DBT exposure (nice to have)
• Tech, fintech or scale-up background preferred
• Strong communication & stakeholder skills

Why Join?

• FTSE 250 fintech environment
• Large-scale digital & customer datasets
• Strong investment in analytics
• High commercial impact & visibility

Interview Process

• Stage 1: Online SQL assessment (1 hour, Codility)
• Stage 2: Final interview (1 hour)

Find out more and apply via the link below!

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Growth Analyst | Up to £80,000 | London (4 days office)

DTC Subscription Business

We are working with a fast-growing, venture-backed DTC subscription business in the consumer space, currently hiring a Growth Analyst to join their Acquisition and Product/Growth team.

The business is highly data-driven with analytics central to decision-making across Product, Marketing, and Finance. This is a commercially focused role where you will be expected to go beyond reporting and actively identify opportunities to improve acquisition, retention, and LTV.

The Role

You will take ownership of end-to-end growth analysis across the customer funnel, supporting experimentation and delivering insights that directly influence commercial decisions. The role sits in a fast-paced environment with highly analytical stakeholders.

Key Responsibilities

• Funnel analysis across acquisition, activation, retention and LTV
• Cohort, segmentation and customer lifecycle analysis
• Design and evaluation of A/B tests and experiments
• Build and maintain dashboards and KPI reporting
• Identify drivers of performance changes and growth opportunities
• Support marketing channel performance and optimisation
• Deliver actionable insights to senior stakeholders

Requirements

• Strong SQL skills and experience with a BI tool (Looker, Tableau, Power BI etc.)
• Experience in a consumer tech, subscription, marketplace or digital business
• Background in Growth, Product or Marketing Analytics
• Strong academic record with clear evidence of impact and progression
• Strong commercial mindset and stakeholder management skills
• Proactive, curious and comfortable working in ambiguity

Desirable

• Experience with A/B testing / experimentation
• Exposure to attribution or MMM
• Forecasting or opportunity sizing experience
• Python or advanced analytics skills

Process

• 30 min intro interview + 45 min founder interview (in-person)
• Take-home analysis task + SQL test (video interview)
• Final in-person interview focused on analytical thinking and execution

Find out more and apply via the link below!

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Senior Product Analyst – £80,000 (Hybrid – London)

Industry: Global Consumer Marketplace / App
Department: Product & Insights

A leading global marketplace is hiring a Senior Product Analyst to partner with product, engineering, design, and ML teams to shape the future of a mobile-first product used worldwide.

What You’ll Do

• Act as the lead data scientist for a core product domain

• Drive deep product analytics to uncover opportunities for growth and engagement

• Design, analyse, and interpret experiments across the product ecosystem

• Influence product strategy by connecting insights to business goals

• Improve datasets, dashboards, and analytical tooling

• Work closely with ML teams on discovery, ranking, and personalisation initiatives

What We’re Looking For

• Expert-level SQL + solid Python for product analytics

• Hands-on A/B testing experience (design + interpretation)

• Strong understanding of ETL/debugging data issues

• Excellent communication and stakeholder management skills

• Commercially-minded with experience balancing user and business needs

• Bonus: marketplace experience or exposure to ML-driven products

Why Apply

• High-impact role shaping core product decisions

• Great benefits, flexible work, and strong wellbeing support

• Opportunity to work closely with ML teams and influence a global user experience

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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