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Forecasting Analyst – Omnichannel | 6-Month FTC | Up to £55k

I’m currently recruiting for a Forecasting Analyst to join a growing Revenue Growth Management team within a leading UK retail business.

This is a 6-month FTC, paying up to £55k, and would suit a commercially minded analyst with experience in retail, merchandising, trading or forecasting.

The role:

• Build sales forecasts across Retail & E-commerce

• Work closely with Trading, Retail, Category, Supply Chain, Finance and Demand Planning

• Analyse trading activity, promotions and performance

• Support sales and margin forecasting

• Present insights and recommendations to senior stakeholders

• Deliver ad-hoc commercial analysis to support decision-making

Looking for:

• Strong Excel and analytical skills

• Forecasting, merchandising or commercial analytics experience

• Retail/omnichannel background

• Strong commercial acumen

• Excellent stakeholder and relationship-management skills

• Someone commercially focused rather than highly technical

London
Up to £55k
6-month FTC

Interested? Find out more and apply via the link below!

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Senior Data Scientist / Credit Risk Analyst
Remote (UK)
£70,000 – £85,000

Join a growing fintech using data, AI and analytics to transform the payments space. This is a high-impact role offering exposure to credit risk, fraud, machine learning and commercial strategy, with direct access to senior leadership.

The Company
A venture-backed fintech in the payments space. They combine advanced analytics, machine learning and alternative data sources to help customers make smarter, faster risk decisions.

The Role

• Build and improve credit risk, fraud and pricing models
• Use analytics to inform strategy, limit optimisation and decisioning
• Develop machine learning solutions and predictive models
• Monitor portfolio performance and identify emerging risks
• Work with customers and partners to solve complex risk challenges
• Collaborate closely with founders and senior stakeholders

Your Skills & Experience

• Strong commercial experience in Credit Risk, Fraud Analytics or Data Science
• Python and SQL expertise
• Experience building predictive models and delivering business insights
• Background in fintech, financial services, payments, lending or consulting
• Strong communication and stakeholder management skills
• UK market experience

What They Offer

• £70,000 – £85,000 base salary
• Equity package
• Private medical insurance, including family cover
• Pension scheme
• Fully remote working
• International company offsites twice a year
• Excellent career growth within a scaling business

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This is an exciting opportunity to join a fast-growing analytics and research business operating at the intersection of sport, media, and technology. Working with industry-leading datasets and commercial insights, you will help shape understanding of one of the most dynamic areas of the sports industry while building your profile as a subject matter expert.

The Company
They are a specialist research and analytics organisation supporting decision-making across the media, entertainment, and sports sectors. Their work informs some of the most influential organisations in the industry, providing data-led insights into market trends, commercial strategy, and emerging opportunities. With a collaborative and intellectually curious culture, they offer an environment where analytical talent can thrive and develop.

The Role
As a Senior Analyst within the Sports Media Rights team, you will play a key role in expanding and maintaining a leading media rights intelligence product.
Responsibilities include:

• Managing and enhancing databases covering global sports media rights agreements
• Building and maintaining Excel-based models to support market analysis and forecasting
• Conducting research into sports broadcasting, streaming, and media rights trends
• Producing high-quality analytical reports, insights, and thought leadership content
• Identifying and interpreting developments across the sports media landscape
• Supporting commercial teams with client-facing analysis and industry expertise
• Contributing to bespoke consulting and research projects for a range of stakeholders

Your Skills & Experience

• Strong commercial experience analysing sports media rights, sports business, broadcasting, or related markets
• Excellent Excel skills, including data manipulation, modelling, and analytical problem-solving
• Understanding of how sports media rights deals are structured, negotiated, and valued
• Experience working with large datasets and transforming information into actionable insights
• Strong research and analytical capabilities with excellent attention to detail
• Ability to communicate complex findings clearly through written reports and presentations
• Experience within a sports rights holder, broadcaster, agency, consultancy, research firm, or similar environment
• Exposure to SQL, Python, or other analytical tools would be beneficial but is not essential

What They Offer

• Ongoing professional development and industry exposure
• Opportunity to work closely with recognised experts across sport and media
• Clear progression opportunities within a growing business
• Collaborative and supportive working culture

How to Apply
If you have a strong background in sports media rights and advanced Excel skills and are looking to take the next step in your analytics career, apply today to discuss the opportunity in more detail.

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Senior Analyst – Sports Media Rights | London | £40k-£50k

We’re working with a leading global sports intelligence and analytics business that is growing its Media Rights team and looking to hire a Senior Analyst in London.

This is a great opportunity for someone with 2-4 years’ experience and a strong understanding of sports media rights, broadcasting and the wider sports media landscape.

The role will involve:

• Tracking and analysing the global sports media rights market
• Researching and maintaining a database of rights deals
• Analysing deal structures and commercial trends
• Using proprietary models to value sports media rights
• Working with data to identify trends and generate insights
• Producing reports and client-ready analysis
• Supporting dashboards and data-driven products
• Responding to bespoke client questions and research requests

We’re particularly interested in candidates with experience from sports rights holders, broadcasters, sports agencies, media businesses or sports/media consultancies.

You’ll need strong Excel, data analysis and modelling skills, as well as the ability to understand the commercial logic behind rights valuations and challenge whether outputs and assumptions make sense.

Sports media rights / TV broadcasting knowledge is essential – this could come from experience working directly with rights, broadcasting, media deals, sports commercial strategy or related areas.

Salary: £40k-£50k
Location: London

If you have a background in sports media rights, broadcasting or sports commercial analysis and are open to a new opportunity, please get in touch for more information.

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AI Product Engineer

Bay Area, Hybrid (minimum 3 days per week in office)

About the Role

Join a fast-growing compliance technology company at a pivotal moment: the shift from reactive, user driven AI features to true agentic systems that take autonomous action on customers’ behalf. This isn’t prototype work, it’s production grade AI, built to help enterprise customers achieve and demonstrate compliance end to end, with minimal manual intervention.

You’ll work within a small, focused team building agentic capabilities in a specific product domain, partnering closely with a dedicated product manager. Expect real ownership from the ground up: you’re not adding features to an existing system, you’re building the agents that will define how customers interact with the platform. The architecture is evolving toward a shared platform layer, so you’ll also collaborate across teams to keep the customer experience unified.

Day to day is roughly 80% coding and system design, 20% meetings.

Examples of What You Might Build

• An agent that autonomously helps customers remediate failing compliance controls and get them to a passing state
• An agent that autonomously demonstrates compliance on a customer’s behalf, fully automated

What You’ll Need

• Production experience building and shipping agentic AI systems in a customer facing environment, not research or prototyping
• Deep familiarity with the full agentic lifecycle: prompt engineering, evaluation, iteration, debugging, and scaling
• A strong traditional software engineering foundation (full stack or backend) with a deliberate transition into AI engineering
• Proven bias for ownership; you can speak clearly to what you built, why, and the trade-offs you navigated
• Proficiency in Python or TypeScript
• Experience running structured AI evaluations and iterating based on real results
• 4+ years of relevant experience

Nice to Have

• RAG (retrieval augmented generation) experience
• Experience with agent frameworks or LLM orchestration tooling (e.g., AWS Bedrock, LangChain, or similar)

Compensation & Benefits

Base Salary: $165,000 to $240,000 + RSUs

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QA Engineer (Automation)
Rotterdam, Netherlands | Competitive Salary + Benefits

This is an excellent opportunity for a QA Engineer with a passion for test automation to join a technology-focused organisation undergoing continued digital growth. You will play a key role in improving software quality, driving automation best practices, and helping deliver reliable products used by a large customer base.

The Company
They are a fast-growing digital business with a strong focus on technology, innovation, and customer experience. Their engineering teams work in a collaborative environment where quality is embedded throughout the development lifecycle. The organisation invests heavily in modern tools, automation, and scalable systems to support ongoing growth. This role offers the chance to influence testing strategy while working alongside experienced product and engineering professionals.

The Role

• Design, develop, and maintain automated test frameworks and test suites.
• Improve software quality through effective automation and continuous testing practices.
• Collaborate with developers, product teams, and engineers to define testing requirements.
• Identify, investigate, and document defects and support their resolution.
• Contribute to CI/CD pipelines and help integrate automated testing into deployment processes.
• Monitor test results and provide clear insights on product quality and performance.
• Support the development of quality assurance standards and testing best practices.
• Drive continuous improvement across testing processes, tools, and methodologies.

Your Skills & Experience

• Strong commercial experience in QA Engineering with a focus on test automation.
• Experience building and maintaining automated testing frameworks.
• Knowledge of modern programming or scripting languages used in test automation.
• Experience working with web application testing and API testing.
• Familiarity with CI/CD environments and automated deployment workflows.
• Understanding of software development lifecycles and agile delivery methodologies.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management capabilities.

What They Offer

• Competitive salary and comprehensive benefits package.
• Hybrid working options and workplace flexibility.
• Access to modern technologies, tools, and engineering practices.
• Opportunities to contribute to testing strategy and automation initiatives.
• Clear career progression within a growing technology environment.
• A collaborative culture that supports learning, development, and knowledge sharing.

How to Apply
If you are a QA Engineer with strong automation skills and a passion for improving software quality, apply today to discuss this opportunity in more detail.

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Head of Analytics

London (Hybrid)

£140,000-£160,000 + Bonus

This is a high-impact opportunity to lead a centralised Analytics & MI function through a major transformation, with a particular focus on AI adoption, commercial insight, data strategy and decisioning; you’ll have significant exposure to the C-suite and the opportunity to shape how analytics is used across a fast-moving, data-rich financial services business!

The Company

This is an established and growing financial services business undergoing significant transformation across its analytics, decisioning and AI capabilities. The business is investing heavily in its data infrastructure and decisioning capabilities, while looking to move its analytics function beyond traditional reporting and towards actionable, commercially focused insight. You’ll join at an exciting point in that journey, with the opportunity to influence the analytics strategy and build a modern, AI-enabled function.

The Role

As Head of Analytics, you’ll report directly to the Chief Analytics Officer and lead a centralised Analytics & MI function supporting stakeholders across the business, including Finance, Marketing and the C-suite. The role blends strategic leadership and hands-on delivery, giving you the opportunity to influence the direction of the function while remaining close to the analytics itself. You’ll lead and develop the existing Analytics & MI team, while also line managing the Decision Engine Manager and overseeing the migration to a new decisioning platform.

Key responsibilities will include:

• Lead and develop a centralised Analytics & MI function
• Build a high-performing, insight-led analytics culture
• Develop managers and analysts and support future team growth
• Shift analytics from traditional reporting towards actionable commercial insight
• Improve data storytelling and senior stakeholder engagement
• Manage and prioritise a shared analytics workstack across Finance, Marketing and C-suite stakeholders
• Lead the adoption of AI tools within analytics, including LLM and coding tools
• Establish governance, best practice and optimisation around AI usage
• Oversee the development of scalable gold-layer datasets
• Drive reporting automation using modern data technologies such as Snowflake and Power BI
• Improve data structures, governance and reporting processes
• Line manage the Decision Engine Manager and oversee the migration to a new platform
• Influence business-wide analytics, data and decisioning strategy
• Act as a senior analytics voice across the organisation

A key part of the role will be understanding how AI can be applied commercially, rather than simply having theoretical knowledge of the technology. You’ll be expected to understand the evolving AI tooling landscape, its advantages and limitations, and how it can make analytics teams faster and more effective.

Your Skills & Experience

You’ll be an experienced Analytics leader with a strong track record of managing teams and influencing senior stakeholders.

I’m particularly interested in candidates with:

• Proven leadership experience across Analytics, MI or Data Analytics
• Experience managing and developing analytics teams
• Strong experience turning data into actionable commercial recommendations
• Proven ability to influence C-suite and senior stakeholders
• Strong hands-on technical capability, ideally including SQL and Python
• Experience working with modern data stacks such as Snowflake, Power BI or similar
• Experience improving data structures, reporting and analytics processes
• A strong understanding of data strategy and analytics transformation
• Practical experience using AI/LLM tools within analytics
• A good understanding of the wider AI tooling landscape and its commercial applications
• Experience embedding AI, automation or advanced analytics into business processes

Financial Services experience is strongly preferred, particularly candidates who have worked across areas such as lending, credit, banking, fintech or risk. Candidates with experience managing Risk Analytics or Risk teams would be particularly relevant. The client are also open to strong candidates from other data-rich, commercially driven sectors such as insurance, airlines or technology, provided you’re comfortable operating in a fast-moving and relatively unstructured environment.

The Benefits

• £140,000 – £160,000 salary
• Bonus – up to 20%

How to Apply

If you’re interested in this opportunity and have the analytics leadership, financial services/risk experience and practical AI exposure we’re looking for, please apply now. For more information, or to discuss the role confidentially, please contact Adam Osborne at Harnham.

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Senior Site Reliability Engineer (SRE & AI Platform Operations)
Location: Netherlands (Hybrid) | Salary: Competitive + Benefits

This is an exciting opportunity for a Senior Site Reliability Engineer to play a key role in the reliability, scalability, and performance of a growing AI-enabled platform. You will work at the intersection of infrastructure, automation, and AI operations, helping to build resilient systems that support innovative products and services at scale.

The Company
They are a technology-led organisation focused on delivering high-quality digital experiences to a global customer base. With a strong emphasis on innovation, automation, and operational excellence, they continue to invest in modern cloud infrastructure and AI-driven capabilities. Their collaborative environment encourages knowledge sharing, continuous improvement, and technical ownership. This role offers the chance to influence platform reliability while supporting the adoption of emerging technologies.

The Role

• Design, build, and maintain reliable, scalable cloud infrastructure.
• Improve platform availability, performance, and operational resilience.
• Develop and enhance monitoring, alerting, and observability capabilities.
• Automate infrastructure management and operational processes.
• Support the operation and reliability of AI and machine learning platforms.
• Collaborate with engineering teams to improve deployment, testing, and release processes.
• Drive incident response, root cause analysis, and continuous service improvements.
• Contribute to platform security, compliance, and best practice engineering standards.

Your Skills & Experience

• Strong commercial experience in Site Reliability Engineering, Platform Engineering, or DevOps.
• Expertise with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong knowledge of Infrastructure as Code tools, including Terraform or similar technologies.
• Experience with containerisation and orchestration technologies such as Docker and Kubernetes.
• Hands-on experience with monitoring, logging, and observability solutions.
• Strong understanding of CI/CD pipelines and automation practices.
• Experience supporting production environments with high availability requirements.
• Knowledge of AI, machine learning infrastructure, or AI platform operations would be highly beneficial.
• Excellent problem-solving, communication, and stakeholder engagement skills.

What They Offer

• Competitive salary package.
• Performance-related incentives and comprehensive benefits.
• Hybrid working and flexibility to support work-life balance.
• Exposure to modern cloud technologies and AI platforms.
• Career progression opportunities within a growing technology function.
• A collaborative environment focused on learning, innovation, and continuous improvement.

How to Apply
If you are an experienced Senior Site Reliability Engineer with a passion for cloud infrastructure, automation, and AI platform operations, apply today to learn more about this opportunity.

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AI Engineer (Senior Level)

Rotterdam | €140,000 base + bonus + equity + benefits

This is a rare opportunity to operate at founder level within a high growth business undergoing a full AI transformation. You will work directly alongside leadership to rebuild a profitable, scaled platform with AI at its core, owning what gets built and how it drives commercial impact.

The Company

They are a profitable, founder led scale up with a strong customer base across multiple international markets. Operating with a lean, highly execution focused team, they prioritise speed, ownership and outcomes. AI is not an experiment here, it is central to how the business is being rebuilt across product, pricing and customer experience. The environment is hands on, with no layers and a strong focus on delivering impact quickly.

The Role

You will act as a founding level individual contributor, identifying and building the most valuable AI opportunities across the business.

• Identify high impact business problems and translate them into AI driven solutions
• Define the commercial case for what should be built, focusing on revenue, margin and efficiency gains
• Design, build and deploy production grade AI systems across pricing, content, product and internal tooling
• Own the full lifecycle from idea through to deployment, measurement and iteration
• Work directly with founders on critical initiatives and strategic direction
• Continuously prioritise the highest leverage problems to maximise business impac
• Build scalable, cost efficient systems with strong awareness of LLM economics and architecture

Your Skills and Experience

• Strong experience building and deploying AI solutions in production environments
• Proven commercial mindset with the ability to link technical work to business outcomes
• Background as a technical founder, early stage CTO or high impact builder in a startup or scale up
• Ability to operate independently without predefined roadmaps or structured briefs
• Track record of initiating, owning and delivering impactful projects end to end
• Strong understanding of modern AI tooling, including LLMs, agents and automation framework
• Comfortable working in a fast moving, ambiguous environment with a focus on execution

What They Offer

• Base salary between €140,000 with a performance bonus
• Equity package aligned to a founding level hire
• Significant autonomy and direct access to founders
• High impact role within a scaled and profitable business
• Modern tooling budget including dedicated hardware allowance
• Opportunity to shape one of the most ambitious AI transformations in the Netherlands
• Clear scope to influence company wide strategy and outcomes

How to Apply

If you are excited by building commercially impactful AI systems at scale and operating with full ownership, please apply with your CV.

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Title: Senior AI Product Engineer
Location: San Francisco, CA (Hybrid)
Compensation: Up to $260,000 + Equity

We’re partnered with a high-growth, mission-driven SaaS company transforming how businesses build and maintain trust, with AI at the core of their next phase of innovation. The platform is redefining how critical enterprise workflows are automated, particularly in areas where reliability, auditability, and security are essential.

This is a high-impact role where you’ll help define how AI feels to the customer, not just how it’s built. You won’t own backend infrastructure, instead, you’ll make foundational decisions about how LLMs, agents, and RAG pipelines translate into real product experiences, working across streaming interfaces, agentic workflows, and guided automation in production.

What You’ll Do

• Build AI-powered product features end-to-end, from React/TypeScript UI through Node.js/Python backend, with real-time streaming and human-in-the-loop interaction patterns
• Partner with AI Engineers to define API contracts and output schemas, translating RAG pipelines and agentic workflows into intuitive interactions
• Advocate for the user’s perspective in technical decisions, surfacing where model outputs break down and iterating the product layer accordingly
• Build user-facing feedback loops that capture signal on AI output quality and feed it back to the broader AI team
• Instrument AI features with product-level observability, including latency, engagement, and drop-off, alongside full-stack integration testing
• Establish reusable patterns (streaming hooks, feedback components, AI state management) to accelerate future AI feature development
• Mentor engineers newer to AI product development and contribute to design reviews

Requirements

• 7+ years of software engineering experience with a proven track record shipping full-stack features in production, including 2+ years on AI-powered product features
• Strong proficiency in React and TypeScript, with experience building responsive UIs that handle async, streaming, and real-time data
• Solid Python and Node.js skills, with experience integrating APIs from LLM providers and orchestration frameworks
• Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, RAG, evals, and structured outputs in production
• Familiarity with agent frameworks (LangGraph, LangChain, or custom runtimes) and building product surfaces on agentic workflows
• Experience implementing streaming response patterns (SSE, WebSockets, chunked HTTP) and UIs that handle progressive or uncertain outputs
• Strong product sense and a track record of cross-functional collaboration with AI/ML engineers, PMs, and designers

If you’re interested in shaping how AI systems are built, evaluated, and deployed in high-trust environments, this is an opportunity to have direct influence on both technical direction and real-world impact at a fast-growing company.

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Title: AI/ML Engineer (All Levels)

Location: Bay Area (Hybrid)

Compensation: Up to $350,000 + Equity

We’re partnered with a well-funded, high-growth Series B startup building the next generation of AI-native data infrastructure for Fortune 500 enterprises. With 3.5x revenue growth in FY’24 and 160% net revenue retention, they’re scaling fast and investing heavily in the AI engineering team that powers their core product.

This is a high-impact role where you’ll own the intelligence layer of the platform, making real architectural decisions around agent design, model selection, and evaluation strategy. Everything you build ships directly to customers; this is not a POC or internal tooling team.

What You’ll Do

• Architect multi-step AI agents end-to-end, covering problem decomposition, context retrieval, error recovery, and output quality
• Own RAG pipelines, vector and graph-based retrieval systems, and knowledge representations that let agents reason accurately over complex enterprise data
• Build the AI layer behind the platform’s core code generation capability, from prompt design and model selection through to fine-tuning and output validation
• Make production AI work at scale, balancing latency, throughput, and observability, and knowing when to optimize a model versus restructure a system
• Think in failure modes and evaluation strategy, not capability demos, and own the improvement loop

Requirements

• 4-6+ years of software engineering experience with meaningful AI/ML depth
• Proven experience building and shipping AI agents or coding agents in production
• Strong Python skills with hands-on experience across RAG, vector databases, and knowledge graphs
• Experience with LLM APIs, prompt engineering, fine-tuning, and structured outputs in production
• Familiarity with AWS and Kubernetes for production AI deployment
• Experience with data platforms such as Databricks, Snowflake, BigQuery, or Spark is a strong bonus
• Scale or Go experience is a bonus

If you’re a builder who thinks in failure modes, owns what you ship, and thrives in environments where last year’s best practice is already obsolete, this is a rare opportunity to have direct leverage on a product used by some of the world’s largest enterprises.

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Workforce Analyst

Salary: £46k + Benefits
Location: 1x a month in Leeds Office – Remote
Type: Permanent Role

The Role:

• Lead analytical programmes supporting workforce, pay and reward strategies.
• Develop workforce models and financial forecasting to support business decision-making.
• Create “what-if” scenarios to assess the impact of policy and workforce changes.
• Deliver data-driven insights and recommendations to senior stakeholders.
• Produce clear reports, dashboards and analytical outputs for both technical and non-technical audiences.
• Support the development of workforce intelligence, planning and strategic decision-making.

Requirements:

• Advanced Excel skills.
• Proven experience analysing large and complex datasets.
• Strong workforce, people, financial or operational analytics experience.
• Experience developing predictive models and scenario analysis.
• Excellent communication skills with the ability to translate technical findings into actionable insights.
• Ability to manage multiple projects and competing priorities.

What Will Make You Stand Out:

• Experience with Python, R, SPSS or similar analytical tools.
• Power BI or other data visualisation experience.
• Previous leadership or line management experience.
• Knowledge of workforce planning, pay, reward or employment-related analytics.
• Experience working with large public sector or healthcare datasets.
• Strong stakeholder engagement skills across technical and non-technical teams.

If you are interested in the role please apply. To follow up please email me or message me on LinkedIn.

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