ORLANDO data & ai RECRUITMENT

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Staff Data Scientist – Paid Marketing
London – x2 days a week
Up to £113,000 plus bonus and benefits
This is a fantastic opportunity to join a high‑growth, product‑led business where data drives every marketing decision. You will shape how performance is measured across a major digital brand, building new attribution and LTV capabilities that directly influence strategy.

The Company
They are a fast‑scaling, community‑focused digital marketplace with a strong app footprint and a mission‑led culture. Their marketing team is expanding and investing heavily in data to improve performance across paid and brand channels. With an international user base and a modern tech stack, they offer the chance to innovate, experiment, and deliver impact at scale.

The Role
You will join the marketing analytics function, owning attribution modelling and the measurement framework that powers paid marketing decisions.
Key responsibilities include:
* Leading the development, maintenance, and optimisation of attribution models for sign‑ups and paid activity.
* Building measurement capabilities, including CLV and LTV modelling for strategic forecasting.
* Delivering complex, in‑depth analysis to explain performance and guide future investment.
* Partnering with stakeholders across paid, brand, and wider marketing teams.
* Driving the measurement roadmap and ensuring clarity on key metrics across the business.
* Providing BAU support while also setting long‑term direction.

Your Skills and Experience
You will bring:
* Strong SQL skills.
* Excellent Python capability for developing analytics and attribution models.
* Proven experience in marketing analytics within an app‑based or digital‑first environment.
* Ability to communicate complex measurement concepts clearly to non‑technical stakeholders.
* Experience owning attribution frameworks and performance measurement processes.

What They Offer
* Up to 113k plus benefits

How to Apply
If you are passionate about building best‑in‑class measurement for a fast‑moving digital brand, apply today to find out more.

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Job Title: Product Data Scientist – Hybrid – Up to £80,000

Location: London (Hybrid, 2 days p/w in office)

Salary: Up to £80,000 + benefits

Contract: Permanent

The Company

A well-established and fast-growing organisation going through an exciting period of digital transformation. With a strong customer focus, they use data and technology to deliver meaningful products and services to a wide audience. The business is scaling its data capabilities and is investing heavily in analytics to drive smarter decisions and long-term growth.

The Role

As a Product Data Scientist, you’ll work closely with teams across the business to unlock insight, guide product strategy, and influence decision-making. You’ll use advanced analytics, experimentation, and data storytelling to identify opportunities, improve customer experiences, and drive measurable impact.

Key Responsibilities:

• Analyse user behaviour to uncover insights, identify pain points, and influence product direction.

• Design experiments and support a culture of testing, learning, and iteration.

• Define and align key business metrics, ensuring consistency and accuracy across teams.

• Build and maintain dashboards and tools to empower stakeholders with self-serve insights.

• Conduct deep-dive analyses to support strategic initiatives and provide clear recommendations.

• Collaborate across functions to close data gaps and drive analytics best practice.

• Stay current on industry trends and champion innovative approaches to product data science.

The Candidate

• Proven experience in analytical roles, ideally within a digital-first or tech-led business.

• Skilled in SQL, Python or R, plus familiarity with BI tools (e.g. Looker, Tableau, Lightdash).

• Ability to translate business challenges into clear analytical projects and recommendations.

• Strong data storytelling and presentation skills, with confidence engaging senior stakeholders.

• Curious, proactive, and detail-oriented problem solver.

• Team player with strong collaboration skills.

What’s on Offer

• Salary up to £80,000 + bonus

• Hybrid working (2 days per week in London office)

• Competitive annual leave package

• Pension scheme and healthcare support

• Employee discounts and perks

• Regular team socials and recognition initiatives

• Strong learning and development opportunities

Apply Now
If you’re an experienced Product Data Scientist/Analyst looking to shape the future of data insight in a growing, forward-thinking organisation, apply today.

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Senior Data Scientist

London, Hybrid
Competitive salary £65,000 to £70,000
Can’t sponsor

This is a great opportunity to join a growing Data Science function working at the forefront of conversational AI, NLP, and Large Language Model innovation. You will help shape next‑generation data products used by high‑profile financial services clients, with real scope to influence technical direction and model development.

The Company

This organisation builds advanced analytics and AI products that enable businesses to drive smarter, faster decision‑making. Their core platforms combine Natural Language Processing, private LLMs, and robust data engineering to deliver secure, context‑aware insights. They have recently expanded into the financial domain and partner with leading firms across trading and investment, offering a strong blend of innovation, stability, and technical challenge.

The Role

You will join a collaborative Data Science team responsible for developing, optimising, and deploying models that power conversational data products.

Your work will include:

• Building and fine‑tuning machine learning and LLM‑based models for real‑time data interaction
• Designing and improving NLP and data‑driven pipelines across multiple products
• Applying strong mathematical reasoning to solve complex analytical problems, particularly in financial and trading‑related contexts
• Working closely with engineering, DevOps, and product teams to deploy scalable solutions in an AWS environment
• Supporting two senior Data Scientists and contributing to best practice, experimentation, and sprint delivery

Your Skills and Experience

• Strong commercial experience in Python and machine learning development
• A solid mathematical foundation and the ability to reason about quant‑style problems
• Experience working with NLP models, LLMs, and modern ML techniques
• Exposure to financial data, trading concepts, or quantitative analytics
• Experience with model training, fine tuning, and evaluation
• Familiarity with cloud deployment (AWS preferred) and modern DevOps‑aligned workflows
• An interest in building conversational or data assistance technologies

What They Offer

• Salary between £65,000 and £70,000
• Hybrid working from London, typically up to two days per week
• The chance to work with cutting‑edge AI technologies and contribute to new product development
• A collaborative environment with strong senior support and room for progression

How to Apply

If you are interested in this Senior Data Scientist position, please apply with your CV.

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PRINCIPAL AI ENGINEER

Up to £95,000 + BENEFITS

LONDON (Hybrid)

This is a standout opportunity to shape and scale an AI function from the ground up. You will drive the build of production‑grade AI platforms, develop agentic automation for complex workflows, and deliver real business impact in an environment where engineering decisions directly influence performance and efficiency.

THE COMPANY:

They are a technology‑led insurance organisation. Their products are powered by a combination of smart technology and human expertise, enabling them to offer fast, tailored cover to customers with diverse needs. With strong investment behind AI, they are entering a new phase of growth and building their first dedicated AI engineering team. Joining at this stage gives you the chance to influence technical strategy, architecture, and best‑practice from day one.

THE ROLE:

• Build and operate production‑ready AI agents on GCP
• Design robust RAG pipelines covering ingestion, text processing, vector search and secure data handling.
• Implement evaluation frameworks, monitoring, A/B testing and performance dashboards for latency, cost and accuracy.
• Partner with product and operations teams to deploy AI capabilities into live environments and continually optimise performance.
• Shape engineering standards, patterns and tooling as part of a new AI function.

YOUR SKILLS AND EXPERIENCE:

• Strong commercial experience in Data Engineering, ML Engineering or Software Engineering with applied AI delivery.
• Deep hands‑on expertise with GCP services
• Strong Python skills
• Practical experience with LLMs, embeddings, RAG architectures and vector databases.
• A track record of building production‑grade AI systems, including observability, evaluation and automated testing.
• DevOps capability across CI/CD, Docker and Kubernetes or equivalent tooling.

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £95,000 On top of the salary there are some fantastic extra benefits.

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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PRODUCT DATA ANALYST / SCIENTIST

UP TO £85,000

HYBRID – LONDON 2x PER WEEK + 1x MONTHLY TEAM TRAVEL

*Please note, you must be a UK resident and citizen to apply*

THE COMPANY

Backed by private equity, this fast-growing consumer technology business is on a mission to become more product-focused and deliver greater personalisation for its users. With strong leadership and exciting growth plans, they’re now looking for a senior-level Product Data Analyst/Scientist to help shape product strategy and deliver actionable insights.

THE ROLE

As a Product Data Analyst/Scientist, you will:

• Own and drive product analytics, focusing on user behaviour and personalisation.
• Deliver insights that directly influence product strategy and experimentation.
• Build and maintain dashboards to track product performance and user engagement.
• Partner with stakeholders across product and analytics to communicate insights effectively.
• Support the business in becoming more data-driven, shaping commercial and product decisions.

YOUR SKILLS AND EXPERIENCE

• Experience in product analytics, within B2C consumer tech businesses
• Strong SQL skills essential.
• Proficiency with data visualisation tools (Looker preferred, open to others).
• Experience with Python desirable.
• Product analytics expertise: experimentation, dashboarding, and driving product strategy.
• Excellent communication and stakeholder management skills.
• Experience influencing product roadmaps and delivering commercial impact.

BENEFITS

• Opportunity to influence product strategy in a PE-backed, high-growth business.
• Work closely with senior leadership, including the Director of Analytics.
• Competitive salary plus benefits.

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Senior Data Scientist

£65,000-£75,000

Remote in the UK (1-2 days a month on-site in London)

The Company

I am partnering with an innovative AI and analytics software business building cutting-edge conversational data products; having initially focused on digital use cases, the business is now pivoting into financial services, working with clients across capital markets and trading environments. Their core offering centres around conversational AI for data, enabling users to interact with complex datasets through natural language. Alongside this, they are developing private, enterprise-grade language models, allowing organisations to securely deploy LLM-powered analytics within their own environments; this is a high-growth, product-led environment with a strong engineering and DevOps backbone, operating fully within AWS.

The Role

As a Senior Data Scientist, you’ll play a key role in advancing their AI product suite, working across both NLP-driven systems and next-generation LLM applications. You’ll sit within a growing Data Science team (currently 5, including 2 senior members), helping to shape technical direction while mentoring more junior colleagues.

Key responsibilities include:

• Building and optimising machine learning and LLM-based models
• Fine-tuning and deploying models within production environments
• Working on conversational AI systems, including NLP and data interaction layers
• Collaborating closely with engineering and DevOps teams in an AWS environment
• Applying statistical and mathematical thinking to solve complex, real-world problems
• Supporting the evolution of products tailored to financial and trading use cases

Your Skills & Experience

• Strong Python and machine learning fundamentals
• Solid grounding in mathematics and statistics
• Experience with LLMs, NLP, or deep learning models
• Exposure to fine-tuning, model optimisation, and deployment
• Understanding of financial services or trading environments (highly desirable)
• Comfortable working in agile/sprint-based environments

Nice to have:

• Quant or trading-related experience
• Experience with modern AI infrastructure (e.g. model serving, MCP servers)

The Benefits

• £65,000-£75,000

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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Data Scientist – Credit Risk

Up to £75,000

Remote (UK Based)

The Company

They are a global, fully remote fintech working across payments and credit risk. Their teams operate internationally collaborating on high impact risk and credit solutions. They use Python, SQL and GenAI tools heavily across the business.

The Role

* Deliver credit risk and fraud analytics across partner portfolios.

* Build predictive models and rules in Python and SQL.

* Develop and optimise credit strategies including pricing, limits and segmentation.

* Support bespoke insurance and risk solutions for complex merchant portfolios.

* Work closely with data, product and commercial teams.

Your Skills and Experience

* Strong commercial experience with Python and SQL.

* Background in credit risk or fraud analytics.

* Experience building supervised models.

* Comfortable solving open problems and communicating insight clearly.

* Interest in both analytics and modelling.

What They Offer

* Salary up to £75,000 + Benefits

To Apply for this Job Click Here

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PRINCIPAL AI ENGINEER

Up to £90,000 + BENEFITS

SHEFFIELD (Hybrid)

This is a standout opportunity to shape and scale an AI function from the ground up. You will drive the build of production‑grade AI platforms, develop agentic automation for complex workflows, and deliver real business impact in an environment where engineering decisions directly influence performance and efficiency.

THE COMPANY:

They are a technology‑led insurance organisation. Their products are powered by a combination of smart technology and human expertise, enabling them to offer fast, tailored cover to customers with diverse needs. With strong investment behind AI, they are entering a new phase of growth and building their first dedicated AI engineering team. Joining at this stage gives you the chance to influence technical strategy, architecture, and best‑practice from day one.

THE ROLE:

• Build and operate production‑ready AI agents on GCP
• Design robust RAG pipelines covering ingestion, text processing, vector search and secure data handling.
• Implement evaluation frameworks, monitoring, A/B testing and performance dashboards for latency, cost and accuracy.
• Partner with product and operations teams to deploy AI capabilities into live environments and continually optimise performance.
• Shape engineering standards, patterns and tooling as part of a new AI function.

YOUR SKILLS AND EXPERIENCE:

• Strong commercial experience in Data Engineering, ML Engineering or Software Engineering with applied AI delivery.
• Deep hands‑on expertise with GCP services
• Strong Python skills
• Practical experience with LLMs, embeddings, RAG architectures and vector databases.
• A track record of building production‑grade AI systems, including observability, evaluation and automated testing.
• DevOps capability across CI/CD, Docker and Kubernetes or equivalent tooling.

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £90,000 On top of the salary there are some fantastic extra benefits.

HOW TO APPLY

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

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Associate AI Engineer
London or Remote UK, £75,000 to £95,000 plus bonus and equity

This role offers the chance to join a growing data intelligence organisation and take ownership of production AI systems. You will work with modern LLM technologies, build automated intelligence tools, and contribute to the development of future client facing AI products.

The Company

They are a data insights organisation that builds KPI prediction models for well known consumer brands. Their platform gives investors an early view of company performance ahead of earnings. As AI becomes central to their strategy, they are expanding their engineering team to build scalable agentic and RAG powered systems that support both internal teams and customers.

The Role

* Build end to end RAG pipelines covering ingestion, embeddings, vector search and LLM reasoning.
* Develop agentic workflows using frameworks such as LangChain, CrewAI or ADK.
* Create LLM powered microservices using Python, FastAPI or Flask.
* Build internal AI tools, assistants and automated workflows.
* Deploy AI systems on AWS including Bedrock, Lambda, ECS or EKS, API Gateway and S3.
* Implement CI/CD pipelines and ensure monitoring, observability and reliability across deployed systems.

Your Skills and Experience

* Strong commercial experience with Python and production engineering practices.
* Practical experience building RAG systems and agentic architectures.
* Hands on knowledge of vector databases such as Pinecone, Weaviate or Qdrant.
* Experience deploying LLM or AI applications on AWS.
* Ability to design, operate and maintain AI systems independently.
* Comfortable working in evolving environments and taking ownership of technical solutions.

What They Offer

* Salary of £75,000 to £95,000 depending on experience.
* Equity package.
* Annual performance bonus.
* Opportunities to influence AI strategy and contribute to future client facing products.

How to Apply
To be considered for the Senior Associate AI Engineer role, please apply with your CV.

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Job Title: Staff Data Scientist

Location: Remote (US Only)

Salary: $200-250k base + equity

About the Company:

Join a mission-focused organization dedicated to revolutionizing global education by providing innovative learning experiences beyond the traditional classroom. The company’s app is widely used across U.S. schools and impacts millions of children worldwide.

Their team is made up of talented and creative professionals with backgrounds in education and top consumer internet companies such as Instagram, Netflix, Dropbox, Stripe, and Uber. They cultivate an environment where top talent can thrive. If you’re eager to work with some of the best minds in the industry, we encourage you to apply!

Position Summary:

As a Staff Data Scientist, you will be a key player in developing the world’s leading consumer education platform. You will be part of a high-achieving, cross-functional team working closely with product, engineering, and design to shape the company’s strategic direction and tackle challenging product and business issues.

Key Responsibilities:

• Utilize data-driven insights to inform decisions and drive our brand toward new milestones
• Work collaboratively with various teams to discover user insights and pinpoint essential product improvements
• Design and analyze AB/multivariate tests to derive actionable conclusions that boost user engagement
• Lead data science projects, influencing strategic choices and addressing complex problems

Your Skills and Experience:

• 8+ years of experience in data science and product analytics
• Experience in the consumer technology sector
• Proficient in writing efficient SQL queries for large datasets
• Skilled in designing and analyzing A/B tests
• Strong understanding of growth strategies for consumer products
• Experience working in fast-paced startup environments
• Excellent verbal and written communication skills
• Strategic thinker with a keen focus on product development
• Innovative approach to using data to drive product strategy

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Lead AI Engineer
Location: San Francisco Bay Area | Hybrid
Salary: $250-300k + Equity

Join a well-funded, AI-native startup at the forefront of redefining how digital products are designed and shipped.

This team is building a next-generation design platform where every screen is real, production-ready code. Designers work directly in the medium that ships, not static mockups, with AI deeply embedded into the workflow to accelerate iteration while preserving precision, consistency, and control.

Backed by top-tier Bay Area investors and senior product leaders from companies including Shopify, Notion, Dropbox, Stripe, and OpenAI, the company has strong runway, a high bar for talent, and ambitious plans ahead.

They’re now hiring their first dedicated Lead AI Engineer to own the model layer and drive AI performance across the product.

The Opportunity

You’ll work directly with the CTO and founding team to define and execute the AI strategy at the model level.

This is a hands-on, production-focused AI engineering role centered on:

• Fine-tuning LLMs for real-world use cases
• Optimizing inference speed, cost, and reliability
• Designing and deploying custom Small Language Models (SLMs)
• Establishing evaluation, benchmarking, and observability standards

What You’ll Be Responsible For

Fine-Tuning & Model Strategy

• Own fine-tuning workflows (LoRA, adapters, distillation, full fine-tuning)
• Decide when to fine-tune vs optimize at the system or prompt level
• Iterate models based on production feedback
• Balance quality, latency, and cost tradeoffs

Model Optimization & Performance

• Improve inference speed and throughput
• Reduce cost per request
• Enhance reliability and output consistency
• Define model evaluation and benchmarking frameworks

Custom SLM Development

• Design and train custom SLMs for specific design-to-code workflows
• Identify when smaller models outperform larger ones
• Deploy and maintain real-time, streaming AI systems
• Support multi-step and agentic AI capabilities within the product

What They’re Looking For

• 5+ years of software engineering experience
• 2+ years building with LLMs in production environments
• Proven hands-on fine-tuning experience (LoRA, distillation, adapters, etc.)
• Experience deploying custom or specialized models
• Strong intuition around inference tradeoffs: latency, throughput, cost, reliability
• Proficiency in Python and TypeScript / Node.js

Nice to have:

• ONNX runtime or model optimization tooling
• Experience with orchestration frameworks (e.g., LangChain)
• WebSockets, Redis, or real-time streaming systems
• Background in AI-native or code-generation products
• A PhD or advanced degree is welcomed, but demonstrated production impact is the priority.

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