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Customer Analyst
£45,000-£50,000 + Bonus
Stratford-upon-Avon (Hybrid – 1x Day a Week in Office)

If you’re a SQL-heavy analyst tired of insight going nowhere, this is where your work actually turns into live customer campaigns! Brand-new role, strong team, and a business investing heavily in customer data + marketing capability.

The Company

You’ll be joining a leading UK insurer with a strong reputation for customer experience and long-term stability; they’re in the middle of a major data transformation, with new platforms, better access to customer data, and a real push towards data-led decision making across the business.

The Role

Sitting in the Customer Selections & Analytics team, you’ll own the delivery of campaign selections end-to-end. This is a hands-on SQL role with clear commercial impact.

Key responsibilities:

• Build and deliver campaign selections using SQL
• Translate marketing briefs into technical requirements
• Work across CRM, transactional & engagement datasets
• Support test & learn campaigns and performance tracking
• Push selections into CRM (moving to Dotdigital)
• Plan and manage campaign cycles 1-2 months ahead

You’ll work across Financial Services, Personal Lines & Commercial, giving you broad exposure across the business.

Your Skills & Experience

• Strong SQL
• Background in campaign selections / CRM / customer analytics
• Experience working with large datasets
• Ability to translate business needs into data outputs

The Benefits

• £45,000-£50,000
• Bonus

How to Apply

Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page.

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Forward Deployed Engineer (AI & Data Consultant)

Location: New York, NY (Hybrid w/ travel)
Pay: $150k – $200k Base + bonus

Overview

This role sits within a high‑growth data, digital, and AI consultancy focused on helping enterprise organisations unlock value through advanced analytics, AI, and modern data platforms. The team is known for delivering practical, production‑ready solutions in fast‑moving, complex environments while enabling clients to adopt responsible and scalable AI capabilities.
As a Forward Deployed Engineer Consultant, you will work directly inside client teams to design, build, and deploy data and AI solutions that drive real business impact. The role is hands‑on, delivery‑focused, and ideal for engineers who enjoy working close to stakeholders while learning new systems quickly.

Responsibilities

• Embed directly within client teams to build and deploy AI and data solutions in live enterprise environments
• Develop Python and SQL pipelines to extract, transform, and operationalise data
• Build and configure AI components and data products within established platform architectures
• Extend and customise enterprise AI and data platforms to meet client requirements
• Participate in client stand‑ups, technical working sessions, and delivery cadences
• Deliver working solutions rapidly while operating in complex, evolving environments
• Document technical solutions and support knowledge transfer to client stakeholders

Must‑Have Qualifications

• 3-5 years of experience in software engineering, data engineering, or a forward‑deployed technical role
• Strong hands‑on experience with Python and SQL
• Experience working with at least one enterprise data or AI platform (e.g. Palantir Foundry or cloud‑native equivalents)
• Comfort working directly within client environments with limited oversight
• Ability to clearly document technical work and explain outputs to non‑technical stakeholders

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DATA ANALYST

UP TO £55,000

LONDON/ HYBRID

OVERVIEW

This is a highly visible role sitting within the Group Finance team, where you’ll act as the Power BI SME across the function while working closely with senior leadership.

THE ROLE

You’ll be responsible for building and developing Power BI dashboards, improving reporting processes and helping drive the transition from manual reporting towards more automated, real-time insights.

Key responsibilities include:

• Developing dashboards using Power BI, DAX & Power Query
• Extracting and consolidating data from multiple sources
• Supporting monthly and ad hoc reporting cycles
• Partnering with senior finance stakeholders across the business
• Supporting major transformation projects including a new consolidation platform and central data lake

SKILLS AND EXPERIENCE:

The ideal candidate will have the following:

• Strong Power BI experience (essential)
• Advanced DAX & Power Query skills
• SQL knowledge
• Finance or accounting exposure highly desirable
• 3-5 years’ experience within data/reporting analytics

This is a really strong opportunity for someone looking to combine technical reporting expertise with finance transformation exposure, while helping shape the future reporting landscape of the business.

If you’d be interested in hearing more, feel free to drop me a message or email @

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This role sits at the intersection of analytics and data engineering and focuses on data modeling, pipelines, and trusted datasets rather than reporting.

You will partner closely with product managers, engineers, and analytics stakeholders to design scalable data models and pipelines that enable self service analytics, automation, and measurable business impact.

Key Responsibilities

• Design and maintain canonical data models including facts, dimensions, and entities to support analytics and reporting
• Build and optimize batch and near real time data pipelines using SQL and Python
• Develop analytics transformations using modern analytics engineering tools such as dbt
• Work with cloud data platforms such as Snowflake and Databricks to process large scale datasets
• Ensure data quality, freshness, and reliability through testing, validation, and monitoring
• Partner with stakeholders to translate business problems into durable data solutions
• Reduce data duplication by centralizing models and creating reusable datasets
• Support dashboards and self service analytics by delivering clean, well documented data products
• Contribute to data governance, access controls, and best practices

Required Qualifications

• 6 or more years of experience in data engineering or analytics engineering roles
• Strong SQL and Python skills
• Solid experience with data modeling including star and snowflake schemas and slowly changing dimensions
• Hands on experience with Snowflake and or Databricks
• Experience building ETL or ELT pipelines for analytics use cases
• Familiarity with dbt, Airflow, or similar orchestration and transformation tools
• Experience working with large and complex datasets in production environments
• Ability to operate as an individual contributor and own work end to end

Nice to Have

• Experience with operational or near real time analytics
• Exposure to regulated domains such as healthcare, finance, or privacy focused systems
• Experience supporting analytics or data science teams
• Familiarity with streaming technologies such as Kafka or Event Hubs

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Data Scientist – Credit Risk
£55-65,000
London

THE COMPANY

This business are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning techniques. This role is an opportunity for someone to be part of a successful company which is continuing to grow whilst driving impact in your work at the forefront of the market.

THE ROLE

• Work across a range of credit models within the business, predominantly scorecards and broader decisioning models
• Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business
• Own the deployment and implementation of predictive models across the product suite
• Working closely with the Credit and Product teams to enhance performance and profitability across the business by collaborating on strategies and model enhancements

YOUR SKILLS AND EXPERIENCE:

• Essential to have experience developing predictive models, ideally within credit risk
• SQL and Python experience is essential
• Essential to have experience using Machine Learning techniques to develop non-linear models
• Experience in a fast-paced environment and ability to work across multiple projects, in a FinTech

SALARY AND BENEFITS

• Base salary from £55-65,000
• Company pension scheme
• Private medical care
• Equity scheme

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

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PRICING ANALYST

UP TO £60,000 + Discretionary Bonus

LONDON

HYBRID WORKING POLICY – 3 DAYS A WEEK IN OFFICE

Are you looking to work at a successful fintech? Become a pricing analyst, building NPV models and developing pricing strategy. This is a hands-on role for someone who enjoys working with data, programming, and turning analysis into commercial decisions that improve customer outcomes and portfolio performance. If you like owning your work, building strong data foundations, and learning fast in a high-impact environment, this role will give you exposure across pricing, unit economics, and portfolio strategy.

THE COMPANY

This UK‑based fintech lender provides simple, digital finance solutions, helping customers secure loans and get pre‑approved online without impacting their credit score. The company uses technology and dealer partnerships to streamline the car‑buying journey, matching customers with vehicles and flexible finance options in a fast, user‑friendly process.

THE ROLE

As a Pricing Analyst you will work closely with colleagues across Commercial, Product, Data Science, and Engineering. You will develop and manage deterministic pricing strategies and decision rules that support responsible lending and strong originations performance.

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

• Analyse data and build pricing strategies to improve profitability, customer outcomes, and portfolio performance.
• Monitor, test, and optimise pricing models, using data insights to recommend commercial decisions.
• Run experiments (e.g. A/B testing) and scenario analyses to evaluate how pricing performs under different conditions.
• Develop financial and unit economics models to assess performance across different products, segments, and channels.
• Collaborate with cross-functional teams to translate complex analysis into clear, actionable recommendations for stakeholders.

SKILLS AND EXPERIENCE

The successful pricing analyst will have the following skills and experience:

• 2-4 years of experience in pricing, credit risk or consumer finance analytics
• Strong statistical modelling skills
• Confidence in creating reliable reusable analytical code and working with version control
• Proficiency in Python and SQL

BENEFITS

The successful pricing analyst will receive a salary up to £60,000 as well as a discretionary bonus.

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ANALYTICS MANAGER

UP TO £70,000 + BENEFITS

LONDON AND OTHER LOCATIONS

REMOTE WORKING POLICY – ONCE A WEEK IN OFFICE

Are you looking to work at one of the best insurance companies in the UK? Become a Manager, analysing how pricing decisions play out across the live portfolio and whether customer segments are delivering as intended. Use loss‑ratio led insights to steer risk selection, challenge pricing intent, and influence how millions of customers are priced across a digital‑first insurer.

THE COMPANY

This digital‑first general insurer serves millions of UK customers across personal lines products, with technology and analytics at the core of how decisions are made. The business has seen strong, profitable growth and significant headcount expansion in recent years, backed by sustained investment in advanced data science and pricing capability.

THE ROLE

As an Analytics Manager you will monitor how each modelled customer segments are performing and decide whether the actual outcome matches the pricing intent.

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

• Using loss ratio led analytics to assess whether each segment is delivering against pricing intent and remains commercially viable.
• Validating whether cohorts should remain open, be repriced, constrained or redesigned to prevent emerging portfolio risks
• Providing clear evidence-based recommendations to modelling and pricing teams to refine strategies and models.
• Defining problems, coordinating across pricing, data science, underwriting and governance, and recommending portfolio actions to leadership.
• Challenging pricing decisions where necessary and maintaining alignment with FCA expectations and internal standards.

SKILLS AND EXPERIENCE

The successful Analytics Manager will have the following skills and experience:

• 3-5 years of experience
• Insurance experience from consumer/personal lines insurers
• Pricing, underwriting or portfolio analytics experience
• Proficiency in Python or SQL

BENEFITS

The successful Analytics Manager will receive a salary up to £70,000 as well as a comprehensive benefits package.

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Data Center Network Architect

Location: Dallas, TX – onsite 5 days per week
Compensation: Up to $235,000 base salary + two bonus components + equity

Overview

We are seeking an experienced Data Center Network Architect to help design, scale, and modernize large enterprise data center environments. This role is focused specifically on data center network architecture and fabric design – not general IT infrastructure, facilities management, or traditional network operations.

The ideal candidate has been directly involved in designing and deploying modern data center network fabrics, ideally across multiple data center rollouts, migrations, expansions, or large-scale modernization programs.

This is a hands-on architecture role that will partner closely with infrastructure, server, storage, cloud, security, operations, and leadership teams to build reliable, scalable, and high-performance data center network environments.

What You’ll Be Doing

Data Center Network Architecture

Design and support modern data center network architectures, including spine-leaf fabrics, network segmentation, routing, switching, and high-availability patterns.

Develop scalable, resilient architectures that support enterprise infrastructure, private cloud, hybrid cloud, compute, storage, and high-performance workloads.

Fabric Design & Deployment

Lead or contribute to the design, deployment, and optimization of data center network fabrics.

Relevant technologies may include:

• Arista EOS / CloudVision
• Cisco Nexus / ACI / NDFC
• EVPN / VXLAN
• BGP underlay / overlay
• Spine-leaf / CLOS architectures
• Multi-site data center fabrics
• Border leaf / services leaf design
• Routing, switching, segmentation, and traffic flow design

Data Center Rollouts & Modernization

Support data center buildouts, migrations, expansions, hardware refreshes, and modernization initiatives.

Help translate business and technical requirements into implementation-ready architecture, documentation, and execution plans.

Technical Documentation

Create and maintain architecture documentation, including:

• HLDs / LLDs
• Network diagrams
• BOMs
• MOPs / SOPs
• Migration plans
• Cutover plans
• Runbooks
• Standards and reference architectures

Cross-Functional Partnership

Work closely with server, storage, cloud, virtualization, security, facilities, and operations teams to ensure the network fabric supports broader infrastructure goals.

Partner with vendors, consultants, and internal engineering teams on design validation, implementation planning, troubleshooting, and ongoing optimization.

Performance, Availability & Reliability

Help ensure data center networks are highly available, resilient, secure, and scalable.

Support capacity planning, network performance improvements, resiliency reviews, and operational readiness for production environments.

What We’re Looking For

Required Experience

• 5+ years of experience in data center network architecture, engineering, or implementation
• Direct experience with data center network design, deployment, or modernization
• Strong understanding of spine-leaf / CLOS architecture
• Experience with data center routing and switching
• Experience with BGP, OSPF, VLANs, IP addressing, segmentation, and high-availability design
• Experience with data center migrations, expansions, buildouts, refreshes, or fabric deployments
• Ability to create clear technical documentation, diagrams, implementation plans, and runbooks
• Strong communication skills with technical and non-technical stakeholders
• Ability to work onsite in Dallas 5 days per week

Highly Preferred Experience

• Arista EOS and/or CloudVision
• Cisco Nexus, ACI, or NDFC
• EVPN / VXLAN
• BGP underlay / overlay design
• Multi-site data center fabric architecture
• Data center network automation using Ansible, Python, Terraform, APIs, or similar tools
• Experience in large enterprise, technology, semiconductor, cloud, colocation, financial services, or infrastructure consulting environments
• Experience working with server, storage, virtualization, private cloud, or hybrid cloud teams

Nice to Have

• Experience with AI/HPC infrastructure, GPU clusters, or high-performance data center environments
• Juniper Apstra, VMware NSX, or comparable fabric/network virtualization platforms
• Data center security integration experience with Palo Alto, F5, Fortinet, Cisco ISE, or similar tools
• Certifications such as CCNP, CCIE, Arista ACE, or equivalent data center/networking credentials

Ideal Backgrounds

We are especially interested in candidates coming from:

• Data center network architecture
• Data center fabric design
• Network infrastructure consulting
• Technology infrastructure integrators
• Colocation / data center providers
• Large enterprise infrastructure teams
• Cloud, semiconductor, financial services, manufacturing, or high-scale technology environments

Relevant previous titles may include:

• Data Center Network Architect
• Data Center Network Engineer
• Network Fabric Architect
• Principal Network Engineer
• Network Infrastructure Architect
• Network Solutions Architect
• Data Center Solutions Architect
• Cloud Network Architect
• Private Cloud Network Architect
• Infrastructure Architect
• Lead Network Engineer
• Cisco ACI / Nexus Architect
• Arista Network Architect
• EVPN / VXLAN Architect

What This Role Is Not

This is not a general helpdesk, NOC, wireless, telecom, or facilities role.

While data center operations experience is helpful, the core need is someone who has been directly involved in data center network fabric design and rollout.

The right person should be able to discuss architecture decisions around spine-leaf design, fabric scalability, routing, segmentation, migration planning, and production readiness.

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Lead AI Engineer – Multimodal
London (Hybrid), Up to £140,000 + benefits

This is a standout opportunity to step into a senior, hands-on leadership role within a newly established AI Lab. You will have genuine influence over technical direction, product experimentation, and delivery, while helping shape how generative AI is applied to high-impact, content-led products.

The Company
They are a globally operating organisation known for producing trusted, high-quality information and insight at scale. With a strong reputation for intellectual rigour and independence, they are investing significantly in advanced AI capabilities as part of a long-term product and innovation strategy. The AI Lab sits at the centre of this ambition, operating as a focused, high-impact product initiative.

The Role

• Provide senior technical leadership across a small, multidisciplinary AI Lab
• Design, build, and iterate on AI-powered prototypes spanning text, audio, voice, and multimodal experiences
• Lead technical exploration of new models, tools, and workflows
• Define and own architectural decisions, balancing speed, quality, and scalability
• Work closely with product, engineering, and non-technical stakeholders to turn ideas into live experiments
• Mentor and support engineers, contributing to the Lab’s longer-term technical roadmap

Your Skills & Experience

• Strong commercial experience building with modern generative AI systems in production or advanced prototype environments
• Excellent software engineering capability with a bias towards hands-on delivery
• Experience working across multiple modalities, such as text, audio, voice, or conversational interfaces
• Strong judgement in selecting models, tools, and architectures for different use cases
• Confidence communicating complex technical concepts to non-technical audiences
• Comfortable operating autonomously in fast-moving, ambiguous environments

What They Offer

• Salary up to £140,000 plus a competitive benefits package
• A senior role with real ownership and influence over a flagship AI initiative
• The opportunity to work in a small, high-impact team with strong executive backing
• Hybrid working model with a central London office and collaborative culture

How to Apply
Apply now to find out more about this Lead AI Engineer role and how you could shape the next phase of an ambitious AI programme.

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Senior AI Engineer – NLP, Finetuning and Multimodal
London, hybrid working (3 days in office), Up to £120,000 plus benefits

If you are excited by the idea of shaping how generative AI is applied to high-quality, real-world products, this role offers the chance to do exactly that. You will join a newly formed AI Lab where experimentation is encouraged, quality matters, and your work will have clear visibility and impact from day one.

The Company
They are a well-established, global organisation operating at the intersection of content, technology, and insight. With a strong reputation for quality and trust, they are investing heavily in generative AI as a core capability. The business operates at international scale and is now building new AI-driven products designed to influence how audiences engage with complex information.

The Role

• Build, fine-tune, and deploy LLM-powered systems used in customer-facing products
• Develop models that capture and reproduce a distinct editorial tone and style
• Design and evaluate retrieval-augmented generation pipelines using structured content
• Support experimentation in real-time generation, personalisation, and multimodal use cases, including audio
• Work closely with product, engineering, and editorial stakeholders to translate ideas into working solutions
• Contribute to a fast-moving, experimental environment where iteration and learning are central

Your Skills & Experience

• Strong hands-on experience working with large language models and NLP systems
• Practical experience fine-tuning models using techniques such as supervised fine-tuning or prompt tuning
• Strong Python capability and familiarity with modern LLM tooling and frameworks
• Experience building or working with RAG pipelines and model evaluation approaches
• Confident communicator, comfortable collaborating with non-technical stakeholders
• A curious, exploratory mindset with a strong focus on output quality and real-world impact

What They Offer

• Salary up to £120,000 plus a strong benefits package
• The opportunity to work on a flagship AI initiative with senior visibility
• A high-impact role in a small, dedicated AI Lab with genuine influence over technical direction
• Hybrid working with a central London office and a collaborative team culture

How to Apply
Apply now to discuss how this Senior AI Engineer role could be the next step in your AI and generative technology career.

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Staff Data Engineer

Location: New York, NY (Hybrid)
Pay: $200k – $250k Base

Overview

This Staff Engineer role sits within a growing data engineering organisation supporting multiple product lines inside a modern digital media and analytics company. The position plays a critical role in shaping shared data architecture, enabling cross‑platform collaboration, and driving the company’s AI and generative AI roadmap.
You’ll act as a senior technical leader – influencing architectural direction, mentoring engineers, and remaining hands‑on with production systems – ensuring data platforms scale coherently as products and teams continue to integrate and evolve.

Responsibilities

• Design, own, and evolve shared data architecture across multiple product platforms
• Establish scalable patterns and standards for data modelling, pipelines, and observability
• Lead technical strategy for integrating data products across teams to enable cross‑platform insights
• Drive the AI and backend infrastructure roadmap, including pipelines supporting ML and LLM‑powered features
• Collaborate closely with product, engineering, and ML teams to translate business needs into durable architectural decisions
• Mentor data engineers, identify skill gaps, and raise the overall technical bar across the organisation
• Evaluate and prototype emerging AI and generative AI technologies for real‑world product use cases
• Contribute to engineering planning, roadmap prioritisation, and support for production systems

Must‑Have Qualifications

• 8+ years of experience in data engineering, data architecture, or a closely related field
• Proven experience designing and operating large‑scale data systems across complex, multi‑product environments
• Strong experience with cloud data warehouses (e.g. Snowflake, BigQuery, or equivalent)
• Hands‑on experience building batch and streaming data pipelines using tools such as Spark, Kafka, Airflow, or similar
• Demonstrated experience integrating AI / ML capabilities into production data systems, including LLMs or foundation models
• Strong Python proficiency and data architecture expertise
• Excellent communication skills with the ability to influence both technical and non‑technical stakeholders

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