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SENIOR DATA ENGINEER

Remote, US Based (California Excluded)

The Opportunity

Join a fast growing, physician led healthcare services company that brings primary care, behavioral health, geriatric care, palliative care, and chronic disease management directly into skilled nursing and assisted living communities across the country.

The Data and Technology team is the infrastructure behind how this company scales its care model. They pull data from EHRs, claims, labs, payers, and CMS into a unified platform that drives clinical insights, operational visibility, and value based care outcomes. This is a true greenfield build. The company is standing up a brand new AWS data warehouse and engineering environment from scratch as part of a broader core systems replacement, targeting a November go live.

This is a rare opportunity to be the senior technical voice shaping how the data architecture gets built. There is no legacy system to inherit and no technical debt to untangle. You will report directly to the Director of Data Architecture and Engineering and have real influence over how the environment is structured from day one.

What You’ll Do

• Architect and orchestrate data pipelines pulling from EHRs, claims systems, labs, payers, and CMS through APIs, FHIR, and HL7
• Design, build, and manage the AWS data warehouse running Snowflake from the ground up
• Build and orchestrate workflows using Apache Airflow
• Set up and structure AWS environments to support in house development
• Build infrastructure that powers BI, analytics, and reporting for clinical and operational teams
• Optimize data models, storage, and query performance across the platform
• Help define data governance standards, coding practices, and testing and alerting frameworks
• Partner closely with leadership to translate business and clinical goals into data architecture decisions
• Mentor and support other engineers as the team grows

Preferred Technologies and Experience

• AWS as the primary cloud platform
• Snowflake
• Apache Airflow
• Python and SQL
• dbt
• GitHub for version control
• Experience with healthcare data standards such as HL7, FHIR, EHRs, and claims is a strong plus, though not required

What They’re Looking For

• 5+ years of experience designing, building, and orchestrating data pipelines and data warehouses
• Deep, hands on AWS data engineering experience is non negotiable
• Strong Python and SQL skills
• Proven experience with Apache Airflow for pipeline orchestration and monitoring
• Comfort working independently in a greenfield environment and making architecture decisions without heavy oversight
• Experience in a high growth or startup like environment, managing ambiguity and shifting priorities
• Healthcare or healthcare data experience is a plus, but strong AWS and data engineering fundamentals matter more
• Must be authorized to work in the US without current or future sponsorship needs
• Candidates based in California cannot be considered for this role

Why This Role

• Build a data warehouse and engineering environment completely from scratch with no legacy systems to maintain
• Work on a business critical, board visible project with a clear November go live
• Report directly to a Director of Data Architecture, with an Executive and CIO interview built into the process
• Join a company actively investing in scaling its data and AI capabilities rather than just maintaining what exists
• Take on meaningful ownership over architecture decisions from your first weeks
• Play a foundational role in the technology behind a rapidly growing healthcare services company

Compensation

$125K to $200K Base plus 10% Bonus and Benefits

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A rapidly scaling AI-native fintech and global workforce technology company is building a unified platform spanning payroll, PEP/EOR, contractor management, benefits, global payments and HR. Its ambition is to replace fragmented HR, payroll, payments and compliance infrastructure with a single intelligent operating system for businesses managing global workforces.

The platform combines proprietary financial infrastructure, workforce data and AI-driven automation across 150+ countries, creating a highly complex and technically ambitious product environment.

The role

The Director of Product will own product strategy and execution across a multi-product fintech platform, working across payroll, payments, HR, compliance and AI.

Reporting to the CEO, you will lead a team of Product Managers, whilst partner closely with Engineering, Operations, Sales and Marketing. Combining strategic product leadership with strong technical fluency, helping shape platform architecture, roadmap priorities and the company’s transition toward increasingly AI-native workflows.

Expectations & Ownership areas

• Own the product strategy and roadmap across payroll, PEO/EOR, contractor management, benefits, payments, HR and AI.
• Partner closely with Engineering and Architecture on APIs, data flows, integrations, platform architecture, scalability and technical trade-offs.
• Drive the evolution toward AI-native products, using AI agents, automation and proprietary data to eliminate complex manual workflows.
• Own product development end-to-end, from discovery and technical definition through launch, adoption and iteration.
• Balance customer-facing features with long-term platform and infrastructure investments, ensuring the product can scale technically and commercially.
• Establish rigorous product practices across prioritisation, road mapping, experimentation, metrics and execution.
• Lead and develop a high-performing team of Product Managers.
• Partner with senior Engineering, Operations and commercial leadership to translate company strategy into executable product priorities.
• Maintain a high bar for product quality, reliability, data integrity, security, compliance and auditability, particularly across financially sensitive workflows.

Ideal background

• 10+ years of Product Management experience with increasing ownership across technically complex products or platforms.
• Experience in fintech, payments, payroll, HR technology, workforce management or highly regulated SaaS.
• Strong technical fluency across APIs, distributed systems, data architecture, integration’s and platform strategy.
• Proven experience building and scaling Product teams and implementing rigorous product-management practices.
• Track record taking complex platforms from strategy through execution, balancing customer needs with technical debt and platform investment.
• Strong commercial and analytical orientation, using data and automation to improve operational workflows and customer outcomes.
• Executive-level communication skills and experience partnering directly with CEOs/founders and/or senior Engineering leadership.

Nice to have

• Experience building AI-native products, AI agents, LLM-powered workflows or intelligent automation.
• Background in global payroll, EOR/PEO, payments, HRIS or workforce infrastructure.
• Experience scaling a high-growth start-up/scale-up where the product and technical organisation are evolving rapidly.

For more information and to apply:

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Role Level: Manager

Industry: Fintech / E-Commerce Risk & Fraud

About the Role

We are recruiting on behalf of a leading technology organization building cutting-edge Machine Learning products that power critical, real-time e-commerce decisions at scale.

We are looking for a ML Engineering Manager to lead a team of high-performing engineers. In this role, you will operate in an environment where every challenge is a mix of experimentation, scalable code, and statistics. You will split your team’s focus between continuous, near-term model improvements and high-impact, long-horizon innovation bets.

If you thrive in ambiguity, love digging into code and evaluation pipelines, and know how to empower engineers to do their best work, this role is for you.

Key Responsibilities

1. Lead & Grow the Team

• People Leadership: Conduct regular 1:1s, provide continuous feedback, and support individual career development and skill growth.
• Culture: Foster a safe, transparent environment where open discussion is encouraged-including celebrating well-documented experimental results that didn’t work.
• Hiring: Conduct technical and hiring manager interviews, train the team on interviewing techniques, and raise the bar for talent as the team grows.

2. Manage a Portfolio of Experiments

• Technical Mentorship: Partner with Tech Leads to pressure-test and refine ideas, ensuring the strongest hypotheses receive the compute and headcount needed.
• Rigor & Evaluation: Bring statistical rigor to experimental outcomes. Ensure offline results predict online behavior and evaluate performance beyond single test windows.
• Portfolio Management: Balance short-term delivery targets against multi-quarter research bets. Make clear calls on when to iterate, launch, or pull the plug on workstreams.

3. Partner & Drive Direction

• Stakeholder Alignment: Work directly with Risk partners to translate complex ML metrics into actionable business outcomes.
• Autonomy: Operate with high autonomy to set team directions based on measured performance data rather than rigid product backlogs.
• Cross-Functional Collaboration: Partner with platform and infrastructure teams to improve feature systems, training pipelines, and experimentation tooling.

What You Bring

• Experience: 5+ years in ML, Data Science, or ML-adjacent software engineering, including 3+ years of direct people management experience.
• Technical Depth: Genuine depth in applied statistics, ML engineering, or software engineering-with working competence in the others. You should feel comfortable reading code and inspecting evaluation pipelines.
• Leadership Under Uncertainty: Proven ability to lead teams through ambiguous problem spaces, set clear directions, and adapt when data points in a new direction.
• Communication: Exceptional written and verbal communication skills. Ability to articulate complex technical ideas clearly in documents and present to executive leadership.
• High Bar for Quality: A strong commitment to correctness, reproducibility, and reliable production systems.

Why Apply?

• Drive high-impact innovation bets that shape the future of ML capabilities.
• Lead a collaborative, ground-up culture where those closest to the problems are empowered to solve them.
• Enjoy a high degree of autonomy in a fast-paced, evidence-driven engineering environment.

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AI Product Director

San Francisco Bay Area (Hybrid – Remote Initially)

Up to $300,000 Base + Bonus + Relocation Support

THE COMPANY

Our client is a family-owned fintech transforming B2B lending through production-grade AI. Rather than experimenting with AI, they already have AI agents live across underwriting and credit decisioning, powered by 18 years of proprietary lending data. The next phase of growth focuses on expanding AI across Sales, Customer Lifecycle, Finance and Capital Markets, delivering measurable commercial outcomes across the business.

The business is currently remote while establishing a Bay Area office, before moving to a hybrid working model. Relocation support is available for candidates moving to the area.

THE ROLE

Reporting to the chief credit officer, you’ll lead multiple AI transformation programmes, managing two AI Product Managers while overseeing 2-3 concurrent AI initiatives.

Working alongside business SMEs, you’ll map existing workflows before redesigning them from the ground up using AI. This is a true 0-1 product role, focused on building entirely new AI-powered processes rather than automating existing ones.

You’ll own product strategy and execution, write design briefs for engineering teams, manage external partners and ensure AI products successfully move from concept into production. Success will be measured through tangible business outcomes, including revenue growth, operational efficiency and productivity improvements.

YOUR SKILLS AND EXPERIENCE

• Experience delivering 0-1 AI products that transform business processes
• Product leadership experience within a scaling fintech or technology business
• Experience owning both product strategy and execution
• Strong stakeholder management with senior business leaders and SMEs
• Experience writing product specifications and working closely with engineering teams
• Experience contributing to AI solution design and architecture
• Track record delivering production AI products with measurable commercial impact

Ideal background:

• Fintech, lending or payments experience
• Scaling B2B technology businesses
• Experience managing multiple AI initiatives simultaneously

THE BENEFITS

• Up to $300,000 base salary
• Significant performance bonus
• Relocation package available
• Remote working initially before transitioning to a Bay Area office
• Opportunity to lead AI transformation in a business where AI is already live in production
• Executive visibility and ownership across multiple high-impact programmes

HOW TO APPLY

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

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Senior Data Scientist

London (Hybrid – 1 Day Per Week)

£60,000-£75,000 + £5,000 Car Allowance + 10% Bonus + Outstanding Benefits

THE COMPANY

We’re exclusively partnering with one of the UK’s leading digital insurance businesses to hire two Senior Data Scientists into its highly regarded Alternative Pricing Product (APP) team.

With over four million customers and significant investment in Data Science, Machine Learning and digital transformation, the business has built one of the strongest pricing and analytics capabilities in UK insurance. This is a genuinely innovative environment where Data Scientists are encouraged to challenge conventional pricing methods, explore new data sources and develop cutting-edge machine learning solutions that directly influence commercial decisions.

THE ROLE

Joining a specialist team of six Data Scientists and Analysts, you’ll play a key role in developing the next generation of pricing models across car and van insurance.

Rather than maintaining existing models, you’ll be encouraged to challenge traditional pricing approaches by exploring new datasets and applying innovative machine learning techniques to solve complex commercial problems.

Responsibilities include:

• Building predictive machine learning models using large, complex datasets
• Developing innovative pricing and customer selection models
• Creating footprint (geospatial) models using alternative data sources
• Developing residual models to improve claims prediction accuracy
• Exploring novel datasets to improve pricing performance
• Taking existing V1 models and evolving them into production-ready V2 solutions
• Working closely with Pricing, Data Science and Engineering teams
• Mentoring a Graduate Data Scientist while leading your own projects from concept through to delivery

YOUR SKILLS AND EXPERIENCE

• Strong Python and SQL experience
• Commercial Machine Learning experience
• Strong predictive modelling background
• Comfortable working with large, messy datasets
• Experience solving complex business problems using data
• Experience mentoring or supporting junior team members
• Exposure to model deployment is beneficial but not essential
• Experience within Insurance, Financial Services, Gaming or another digital-first business is advantageous

Experience with Azure Machine Learning, Graph-based models or geospatial modelling would be beneficial but is not essential.

THE BENEFITS

• Salary up to £75,000 (up to £80,000 for exceptional candidates)
• £5,000 annual car allowance
• 10% target bonus (up to 20%)
• Hybrid working (1 day per week in the office)
• Choice of London or Leicester or Bexhill office, with monthly London travel fully expensed
• Private Medical Insurance
• 10% matched pension
• 27 days annual leave plus bank holidays
• Buy or sell up to 5 days annual leave
• Life Assurance and Income Protection
• Health & Wellbeing package
• Optional dental cover
• Discounts on company products

INTERVIEW PROCESS

• 30-minute introductory conversation with the Hiring Manager
• Take-home case study followed by a 20-minute presentation and technical discussion
• Final leadership and team-fit interview

HOW TO APPLY

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

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Head of Data Analytics

£90,000-£110,000 + 10-20% bonus | Remote

A growing B2B organisation is looking for a Head of Data Analytics to lead its analytics function and turn customer data into actionable commercial insight.

The Role

• Lead and develop a team of 3 analysts

• Drive customer targeting, segmentation and campaign analytics

• Identify commercial opportunities through data

• Support marketing and sales campaigns across multiple channels

• Use SQL and Power BI to deliver meaningful insights

• Present recommendations to senior stakeholders

• Help shape the wider data and analytics strategy

About You

• 5+ years’ experience in data/analytics

• Strong marketing analytics background

• Strong SQL and Power BI skills

• Experience with campaign analytics, targeting or segmentation

• Commercially minded with strong stakeholder management skills

• Experience leading or mentoring analysts

Location: Fully remote once onboarded, with 3 days per week in the office (Rippendon) during onboarding.

Salary: £90,000-£110,000 + 10-20% bonus.

Find out more and apply via the link below!

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Data Consultant – Marketing Analytics

Up to £50,000 | London / Hybrid – 1 day a week

A growing data and analytics consultancy is looking for a mid-level Data Consultant to join its expanding team.

This is a varied role, initially supporting a major client account with marketing and performance analytics, before getting exposure to a much wider range of data consulting projects.

The Role

You’ll work across:

• Marketing and campaign analytics
• Reporting and dashboard development
• Data analysis and insight generation
• Customer and product analytics
• Data quality, cleaning and matching
• Turning data into clear commercial recommendations
• Presenting insights to clients

About You

We’re looking for someone with:

• Experience in data or marketing analytics
• Strong SQL and/or Python skills
• Experience with dashboarding and reporting tools
• Exposure to paid media or performance reporting
• Agency, consultancy or client-facing experience
• A strong commercial mindset – able to explain what the data means and what should happen next
• Confidence communicating with stakeholders and clients
• The ability to work autonomously across multiple projects

What’s on offer?

• Broad exposure across different types of analytics and consulting
• Opportunity to work with major brands and clients
• A flexible, predominantly remote working environment
• High visibility and responsibility within a growing team
• Strong opportunity to develop into a broader consulting role

Salary: £50,000-£60,000 depending on experience
Location: London, with approximately 1 day per week in the office
Interview process: Two-stage, fully virtualIf you’re looking for a role where you can broaden your analytics experience and develop your consulting skills, we’d love to hear from you.

Find out more and apply via the link below!

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Analytics Consultant

£70,000 – £90,000

Remote

This is an excellent opportunity to join a specialist analytics consultancy delivering modern data and AI solutions for organisations across multiple industries. You’ll work on high-impact projects, collaborate with experienced consultants, and help clients unlock greater value from their data using leading cloud and analytics technologies.

The Company

They are a well-established data and analytics consultancy that helps organisations modernise and scale their analytics capabilities through cloud-based data platforms and modern data stack technologies.

Their teams work closely with clients to design, build, and support innovative analytics solutions that enable data-driven decision making. With a strong focus on technical excellence, continuous learning, and customer success, they offer an environment where consultants can develop deep expertise while making a measurable impact.

The business fosters a collaborative culture that encourages knowledge sharing, professional development, and progression into senior leadership and solution architecture responsibilities.

The Role

As a Senior Analytics Consultant, you will lead the delivery of analytics and data engineering projects while acting as a trusted advisor to clients.

Key responsibilities include:

• Leading end-to-end analytics and data engineering engagements for a diverse client portfolio.
• Designing and implementing cloud-based data solutions using Google Cloud technologies.
• Building scalable data models and transformation frameworks using tools such as dbt and Dataform.
• Developing dashboards, reporting solutions, and data visualisations using platforms including Looker and Power BI.
• Leading client workshops and translating business requirements into scalable technical solutions.
• Designing modern analytics architectures, including data flows, warehouse structures, and orchestration processes.
• Managing project risks, blockers, dependencies, and delivery milestones.
• Mentoring junior consultants and contributing to internal best practice initiatives.
• Supporting the adoption of emerging analytics, cloud, and AI technologies.

Your Skills & Experience

You should have:

• Strong commercial experience with Google Cloud, BigQuery, dbt, and Looker.
• Experience delivering analytics, business intelligence, or data engineering projects in a consulting or client-facing environment.
• Excellent SQL, data modelling, cloud data warehousing, and database design skills.
• Experience working with software development practices including Git, CI/CD, and version control.
• Strong stakeholder management and communication skills, with the ability to engage both technical and non-technical audiences.
• Experience balancing multiple projects and priorities in a fast-paced consulting environment.
• Exposure to modern data stack technologies such as Fivetran, Snowflake, Segment, Airbyte, Cube, or similar tools.
• Relevant cloud certifications or an interest in achieving them.

What They Offer

• Competitive salary package.
• Performance-related bonus scheme.
• Private medical insurance.
• Life assurance.
• Contributory pension scheme.
• Enhanced family-friendly benefits.
• Flexible public holiday policy.
• Hybrid, remote, or office-based working options.
• Home office equipment allowance.
• Ongoing learning and development support, including professional certifications.
• Clear progression into senior consulting, leadership, and solution architecture pathways.

How to Apply

If you are passionate about modern analytics, cloud data platforms, and delivering meaningful business impact, apply today to learn more about this Senior Analytics Consultant opportunity.

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