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Senior BI Engineer (Fixed-Term Contract)

Fully Remote, UK

£65,000 pro rata, 8-month FTC

This is an opportunity to take ownership of a modern BI and analytics environment within a globally scaled, data-driven organisation. You will play a key role in shaping how data is modelled, visualised, and consumed across the business, with direct exposure to senior stakeholders and meaningful impact from day one.

The Company

They are a technology-led organisation operating at global scale, enabling businesses to make better decisions through high-quality data and insights. Data sits at the core of everything they do, supporting commercial strategy, product development, and performance measurement. With a strong culture of collaboration and innovation, they invest heavily in their data platform and analytical capability.

The Role

• Design, build, and maintain scalable data models and automated ETL or ELT pipelines within a cloud data warehouse environment.
• Lead the development of executive-level dashboards and self-serve reporting solutions that balance clarity with analytical depth.
• Partner with stakeholders across non-technical teams to define KPIs and translate business questions into robust analytical solutions.
• Establish best practices around data governance, documentation, and quality to ensure a trusted single source of truth.
• Optimise SQL queries and BI assets to deliver high-performing, low-latency analytics at scale.
• Provide technical guidance through code reviews and mentorship, raising standards across data modelling and visualisation.

Your Skills and Experience

• Strong commercial experience in BI engineering, analytics engineering, or data engineering within a modern data stack.
• Advanced SQL capability, including complex transformations, window functions, and performance optimisation.
• Proven experience working with cloud data warehouses such as Databricks, Snowflake, or BigQuery.
• Deep understanding of dimensional modelling techniques and tools such as dbt.
• Hands-on expertise with enterprise BI platforms, such as Power BI, Looker or Omni.
• Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.

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Senior Data Scientist
London
£100,000 to £130,000

This is an opportunity to step into a highly influential data science role within a business where analytics sits at the heart of commercial decision making. You will work on complex, high-impact pricing problems, have clear ownership of your work, and see your models directly shape business outcomes.

The Company
They are a technology-led organisation operating in the insurance space, known for their strong investment in data, analytics and engineering. The business is well funded, ambitious, and sets high standards for analytical thinking and technical quality. Data scientists are viewed as strategic partners, not service providers, and are encouraged to challenge, innovate and drive measurable impact.

The Role

• Deliver data science within a pricing-focused environment, influencing rates, tariffs and overall market competitiveness
• Design, build and refine predictive models to better understand risk, customer behaviour and price sensitivity
• Identify and integrate new data sources to improve pricing accuracy and decision making
• Use simulation and modelling techniques to estimate outcomes such as claim frequency and customer responses to price changes
• Translate complex analysis into clear, commercially focused recommendations for senior stakeholders

Your Skills & Experience

• A strong academic background and Masters degree in a STEM discipline such as mathematics or physics
• Advanced analytical and problem-solving skills, with the ability to articulate business impact clearly
• Strong experience using Python for data analysis and modelling
• Experience building and applying predictive models in a commercial context
• Comfortable working in a fast-paced environment with a high level of ownership and accountability

What They Offer

• Salary between £100,000 and £130,000 plus a comprehensive benefits package
• Hybrid working with a minimum of one day per week in the London office
• Exposure to high-value, business-critical projects with real visibility and influence
• A strong culture of learning, development and progression for high-performing data scientists

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Senior Valuations Manager
London
£120,000 to £150,000 plus benefits.

This is a high impact leadership role where you will shape how valuation and NPV models are designed and used across a modern consumer lending business. You will move beyond traditional approaches, embedding sophisticated valuation models directly into credit decisioning and strategy.

The Company
They are a fast growing, profitable digital financial services organisation operating across multiple consumer lending and banking products. With significant investment in analytics and technology, they place strong emphasis on data driven decision making. Valuations sit at the heart of their growth strategy.

The Role

• Set the strategic direction for valuation, NPV and IRR modelling across lending products
• Build and evolve account level valuation models used in live decisioning
• Partner with Credit Risk, Product, Finance and Impairment teams
• Lead and develop a team of credit analysts with close links to data science
• Drive innovation in valuation methodology and modelling infrastructure

Your Skills & Experience

• Strong commercial experience in valuation, NPV and IRR modelling within consumer lending
• Proven ability to build models from first principles
• Strong conceptual thinker with confidence to challenge existing approaches
• Python experience within modelling environments
• Effective people leadership and senior stakeholder management

What They Offer

• Salary of £120,000 to £150,000 plus benefits
• Hybrid working with flexibility
• High visibility role with genuine influence on credit and growth strategy
• Clear scope for career progression

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AI and ML Lead

Amsterdam, The Netherlands

Salary: Up to 140k total package

Extensive benefits on offer

This is a high impact leadership role for someone who wants to shape the AI and ML direction of a growing business. You will have the opportunity to modernise existing machine learning approaches, influence product strategy, and lead a team through the next phase of its evolution.

This is a very exciting opportunity for the right individual who wants to work in a fast paced environment where you will be able to access huge amounts a data and shape how you can influence future business performance by choosing the right algorithms and use cases.

The Company

They are a fast moving organisation of around 250 people with a flat structure and high visibility across the business. Despite their size, they have significant reach and the ability to move quickly on new ideas. Data and AI sit close to product and leadership, giving this role genuine influence and ownership.

The Role

• You will lead the AI and ML strategy, with responsibility for both technical direction and people leadership.
• You will modernise legacy machine learning systems, particularly in areas such as recommendations, search and behavioural modelling.
• You will work closely with Product to shape the roadmap, challenge build versus buy decisions, and prioritise work based on impact.
• You will manage and develop a team of data scientists and remain as hands on as you choose.
• Manage a team of 7 data scientists
• In this role you will also have a big influence in which use cases should be prioritised

Your Skills and Experience

• Strong commercial experience delivering ML and AI models into production environments.
• Background in recommendation systems, search, fraud or similar marketplace style problems.
• Ability to set technical direction and influence stakeholders, not just execute.
• Experience leading or mentoring data scientists and elevating team capability
• Production ML experience in Python, ideally using Databricks.

What They Offer

• A base salary of €80,000 to €140,000 total package
• Flexible working with an office first culture and the option to work abroad for up to one month.
• Visa sponsorship and openness to relocation.
• A rare chance to shape ML strategy, team design and product impact in a high reach organisation.

How to Apply

Apply now to learn more about this AI and ML Lead opportunity and the impact you could have.

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SENIOR BI ENGINEER
REMOTE
UP TO £65,000 (8 MONTH FTC PRO-RATED)

This is a rare opportunity to join a high impact analytics transformation at a critical moment. You will be brought in as a dedicated contractor to help rescue and accelerate a major BI migration that is central to how the business operates. The focus is on rebuilding analytics the right way, not simply moving dashboards from one tool to another.

ROLES AND RESPONSIBILITIES:
The Senior BI Engineer will:

• Migrate and rebuild datasets, dashboards and semantic models from Power BI into Omni
• Re think reporting structures to reduce duplication and improve self serve analytics
• Design reusable datasets and analytics topics to support consistent insights
• Work closely with data, backend and frontend teams on models and visualisation design
• Run stakeholder interviews to understand reporting needs, gaps and pain points
• Decide where redesign is preferable to direct migration
• Support governance, documentation and data quality best practice
• Help lay the foundations for AI ready analytics within the BI layer

YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:

• Strong commercial SQL capability
• Experience with Power BI, Looker or similar modern BI tools
• Confidence working with dimensional models and semantic layers
• Comfortable engaging directly with stakeholders and translating business questions into analytics solutions
• Experience rebuilding or rationalising BI estates rather than maintaining legacy dashboards
• Ability to start quickly and operate effectively in a project driven environment
• Experience with dbt

APPLY BELOW!

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Gate Team Leader/Hardware Specialist

Amsterdam, Netherlands

3 days a week in the office

This is a rare opportunity to lead a highly specialised team at the intersection of software, hardware, and applied AI. You will take ownership of a tangible, real‑world product, guiding it from concept through to reliable, 24/7 operation, while shaping both the technical direction and the people behind it.

The Company

They are a fast‑growing technology business focused on automating complex inspection processes using a combination of hardware, cloud services, and advanced software. Working with a compact, highly skilled engineering group, they build their full technology stack in‑house, enabling rapid innovation and end‑to‑end ownership. The culture is collaborative, practical, and driven by real‑world impact.

The Role

• Lead a small, multidisciplinary team of software and hardware engineers, setting technical direction and supporting professional development.
• Act as technical owner for an integrated inspection gate solution, combining cameras, lighting, and embedded systems.
• Translate new product ideas into clear technical specifications and high‑level architectures across hardware and software.
• Own the product lifecycle from design and build through deployment, continuous improvement, and production support.
• Manage external design and manufacturing partners, ensuring quality, delivery, and alignment with technical requirements.
• Define and uphold testing, quality assurance, and deployment standards to ensure reliability and scalability.
• Collaborate closely with internal stakeholders to gather feedback and iterate on the solution.

Your Skills & Experience

• Strong experience leading and mentoring small engineering teams across hardware and software domains.
• Deep understanding of complex system integration, ideally involving sensors, optics, or computer vision.
• Solid backend engineering background with strong capability in Python and production environments.
• Experience integrating hardware components with software systems.
• Confidence managing external technical vendors and outsourced development or manufacturing.
• Good working knowledge of testing practices, CI/CD, and quality standards.
• Comfortable working in Linux‑based environments.
• Clear, confident communication skills in English.

What They Offer

• A competitive salary aligned with your skills and impact.
• The chance to see your work deployed in real‑world environments.
• Modern equipment and tools to do your best work.
• A flexible working culture with a strong focus on personal development and learning.
• An inclusive, supportive environment where ideas are encouraged and ownership is valued.

How to Apply

Apply now to explore how you could lead and shape a product that brings together hardware, software, and AI in a truly hands‑on way.

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Lead Machine Learning Engineer 12 Month FTC

Remote UK, up to £90,000, 12 month fixed term contract

This is a rare opportunity to take ownership of machine learning delivery in a business that is actively investing in AI and moving from proof of concept into production. You will play a pivotal role in shaping how advanced ML and generative AI solutions are engineered, deployed and scaled, with genuine scope for the role to become permanent.

The Company

They are a large, well established UK organisation operating in a highly regulated, information rich environment. With thousands of colleagues nationwide, they combine deep domain expertise with a strong focus on people, quality and long term outcomes. Data and AI are now a strategic priority, with senior backing to build robust, production grade ML capability.

The Role

• Lead the engineering and productionisation of machine learning and generative AI solutions.
• Build and operate end to end ML pipelines, including data preparation, model deployment, monitoring and governance.
• Work closely with data scientists and data engineers to turn experiments and POCs into scalable, reliable services.
• Develop solutions for large scale unstructured data, including complex document processing and LLM ready data pipelines.
• Own MLOps practices, covering CI/CD, model serving, observability and lifecycle management.
• Provide hands on technical leadership, contributing to architecture decisions and best practice.
• Act as a delivery focused partner to stakeholders, confidently explaining trade offs and recommendations.

Your Skills & Experience

• Strong commercial experience as an ML Engineer or MLOps focused engineer, ideally with a software engineering background.
• Proven ability to deploy, operate and maintain machine learning systems in production.
• Hands on experience with cloud based data and ML platforms, particularly on Azure.
• Solid knowledge of Databricks and modern data engineering concepts such as lakehouse architectures.
• Experience preparing data and pipelines for LLM based use cases and NLP workloads.
• Strong Python skills, with experience building APIs or services, for example using FastAPI.
• Confidence working across the full delivery lifecycle, from design through to monitoring and optimisation.
• Clear communication skills and comfort working directly with non technical stakeholders.

What They Offer

• Excellent work life balance and a supportive, collaborative culture.
• The chance to shape ML engineering standards and capability from the ground up.
• Strong potential for the role to become permanent, with future people leadership opportunities.

How to Apply

If you are an experienced ML Engineer looking for a hands on role with real influence and long term potential, apply now to find out more.

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Data Engineer
Hybrid – London (4 Days Per Week in Office)
Up to £120,000 + 50% Bonus

This is a rare opportunity to sit at the centre of value creation within a high-performing private equity environment. You will play a pivotal role in shaping data platforms that directly influence decision-making, AI adoption, and commercial outcomes across multiple portfolio businesses, all while working closely with senior stakeholders.

The Company
They are a well-established lower mid-market investment firm with a strong track record of fund performance and a highly supportive investor base. Operating with a single, focused strategy, they are known for conviction in their niche and a consistent investment philosophy. The firm has recently invested in a new, high-spec London headquarters and continues to grow its value creation capability as a core pillar of the business.

The Role
As Data Engineering Platform Lead, you will sit within the value creation function and act as the technical foundation for data and AI initiatives across the portfolio. Your responsibilities will include:

• Designing and building scalable data platforms and architecture for portfolio companies.
• Establishing robust data engineering foundations to enable analytics, reporting, and decision-making.
• Ensuring data environments are AI-ready, supporting future AI and agentic AI use cases.
• Working hands-on with data, while also advising C-suite stakeholders on best practice and trade-offs.
• Operating across varied data maturity levels and technology stacks within different businesses.
• Partnering closely with senior value creation leaders and portfolio leadership teams.

Your Skills and Experience
To succeed in this role, you will bring:

• Strong commercial experience in data engineering and platform development.
• Hands-on capability with SQL and Python, and experience building end-to-end data platforms.
• A deep understanding of data architecture, scalability, and common pitfalls in growing data environments.
• A tech-agnostic, generalist mindset, comfortable working across multiple tools and stacks.
• The ability to communicate clearly with senior, non-technical stakeholders and influence at C-suite level.
• A pragmatic, adaptable approach, balancing strategic thinking with execution.

What They Offer

• Base salary up to £120,000.
• Strong bonus potential, up to around 50 percent in a strong year.
• Exposure to multiple portfolio companies and a wide range of data challenges.
• The chance to work on cutting-edge data and AI initiatives with real commercial impact.
• Close collaboration with senior value creation leadership and portfolio executives.
• A modern London office environment with a strong in-office culture.

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Lead Machine Learning Engineer

Primarily Remote UK based
up to £95,000

Lead Machine Learning Engineer

This is a standout opportunity to lead and shape a growing Machine Learning Engineering function, taking ownership of production‑grade ML solutions that transform how data is used and commercialised across the business.

THE COMPANY

This organisation is a leading professional services firm with a strong focus on innovation, data, and technology‑led transformation. They are investing heavily in modern cloud, data, and AI platforms to unlock new products, improve efficiency, and deliver real business value.

THE ROLE

You will lead the ML Engineering capability, owning the end‑to‑end delivery of machine learning solutions and helping to build out the wider ML function. You’ll operate as a hands‑on technical leader, setting best practice across ML pipelines, MLOps, and data products while working closely with Data Scientists, Engineers, and senior stakeholders.
Key responsibilities include:

• Leading and championing ML Engineering as a core capability across the organisation
• Designing, building, and productionising end‑to‑end ML pipelines aligned to business strategy
• Implementing robust MLOps processes (CI/CD, model deployment, monitoring, governance)
• Delivering ML solutions for complex NLP and LLM use cases, including large‑scale document processing
• Collaborating closely with Data Scientists to support model development, fine‑tuning, and lifecycle management
• Supporting data integration, ETL, and cloud migration initiatives on Azure
• Acting as a technical thought leader, setting standards and sharing best practice across teams

YOUR SKILLS AND EXPERIENCE

You will bring strong capability in:

• Machine Learning Engineering with a strong software engineering foundation
• Python, SQL, and modern ML engineering practices
• Azure‑based ML and data platforms (including Databricks)
• NLP and LLMs, including fine‑tuning and production deployment
• Designing and operating MLOps pipelines in production environments
• Stakeholder management and working in agile, high‑performing teams

THE BENEFITS

You will receive a salry up to £95,000 depending on experience, alongside a comprehensive benefits package and the opportunity to lead a strategically important ML capability with real influence across the business.

HOW TO APPLY

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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Senior Product Manager
Central London (2 to 3 days per week in office) | £80,000 to £100,000 base plus bonus and equity

This is a rare opportunity to take full ownership of a core product at a critical growth stage. You will join a small, ambitious business moving from an MVP into a scalable, client-facing platform, with real autonomy to shape strategy, delivery, and impact from day one.

The Company
They are a founder-led technology business operating at the intersection of data, networks, and decision-making. Their platform connects senior professionals with investment-focused clients, enabling highly curated, high-value introductions. With a growing international footprint and a strong commercial model, they are now investing heavily in product maturity, automation, and AI-driven capabilities.

The Role

• Own the end-to-end product roadmap for a core platform, from discovery through to delivery
• Translate business, client, and user needs into clear product requirements, epics, and priorities
• Lead the shift from internal tooling to a scalable, self-serve, client-facing product
• Reduce reliance on manual and spreadsheet-based workflows through automation and better UX
• Partner closely with Engineering to unblock delivery, manage trade-offs, and address technical debt
• Collaborate with Data teams to align product design with data quality, structure, and AI use cases
• Identify and embed practical AI and LLM-driven functionality into workflows and the product experience
• Act as the day-to-day product contact for commercial teams and senior stakeholders

Your Skills and Experience

• Strong commercial product management experience within a technology or data-led environment
• Proven ability to own and prioritise a product roadmap in a fast-moving, agile setting
• Experience working closely with Engineering and Data teams to deliver complex platforms
• Comfort operating in ambiguity and making pragmatic trade-offs
• Exposure to workflow automation, data products, or AI-enabled features
• Clear communication skills and confidence working directly with senior stakeholders and users

What They Offer

• Competitive salary of £80,000 to £100,000 depending on experience
• Performance-related bonus and equity participation
• High autonomy and visibility within a small, founder-led organisation
• The chance to shape a product with genuine commercial and user impact
• A collaborative environment with close alignment across Product, Engineering, and Data

How to Apply
Apply now to learn more about this Senior Product Manager opportunity and how you could shape the next phase of a high-impact platform.

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Ecommerce Analyst
Banbury (hybrid) £45,000 to £60,000 plus benefits

This is a newly created Ecommerce Analyst role offering the chance to take real ownership of insight in a fast-growing, product-led ecommerce business. You will play a key role in shaping how data is used to drive trading, acquisition and customer decisions, with visibility across senior stakeholders and the freedom to influence how analytics is done.

The Company
They are a direct-to-consumer ecommerce business with a strong digital footprint and an expanding product range. Ecommerce sits at the heart of their commercial strategy, supported by significant investment in paid media and digital channels. The business is highly data-aware and is now looking to strengthen insight by appointing a dedicated ecommerce analytics specialist.

The Role
You will act as the central owner of ecommerce reporting and analysis, moving the business from fragmented data to clear, actionable insight. Key responsibilities include:

• Owning ecommerce performance reporting and building scalable dashboards used across the business
• Analysing trading performance, traffic, conversion and customer journeys
• Evaluating paid media performance across key digital channels and supporting attribution understanding
• Identifying opportunities to improve acquisition efficiency and commercial outcomes
• Translating complex analysis into clear recommendations for ecommerce, marketing and finance stakeholders
• Proactively surfacing insights rather than responding to ad hoc requests

Your Skills and Experience

• Strong commercial experience in ecommerce or digital analytics
• Confident working with tools such as GA4, SQL, BigQuery or Looker
• Experience analysing acquisition performance, conversion and customer behaviour
• Ability to work independently and take ownership in a fast-paced environment
• Clear communication skills with the confidence to influence non-technical stakeholders

What They Offer

• Salary between £45,000 and £60,000 depending on experience
• Hybrid working with a strong preference for regular on-site collaboration
• High-impact role with visibility across senior leadership
• Opportunity to shape ecommerce analytics in a growing business
• Supportive, collaborative office environment with clear scope for progression

How to Apply
Apply now to learn more about this Ecommerce Analyst opportunity through Harnham, specialists in Data and Analytics recruitment.

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