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DATA SCIENTIST (PRICING)

£70,000 + BENEFITS

PRIMARILY REMOTE

If you’re are a highly educated individual (MSc, PhD) looking to work on meaningful data science problems in a remote, research-led environment, this could be a great fit.

THE COMPANY:

I’m working on a fantastic opportunity with a fast-growing SaaS company that’s transforming how the hospitality sector approaches pricing and forecasting. The team is applying advanced ML techniques to solve real commercial problems-everything from demand forecasting to booking behaviour clustering and light NLP use cases.

THE ROLE:

You’d join a high-calibre team in a full-stack data science role. This role will be deeply analytical and mathematical, with an emphasis on exploratory modelling and research-driven development. You will set and optimise prices, using statistical techniques and bespoke modelling solutions. A Data Scientist (Pricing) will need to:

• Build prototypes and conduct in-depth experimentation using Python and Pandas
• Research and develop new pricing models
• Apply statistical and machine learning techniques
• Explore and test data-driven approaches to price sensitivity and elasticity
• Collaborate with a highly technical team

YOUR SKILLS AND EXPERIENCE:

A successful Data Scientist will have the following skills and experience:

• MSc or PhD level of education
• Strong Python skills and experience with Pandas
• A solid foundation in Statistics and ML.
• Experience with pricing

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £70,000 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

DATA SCIENTIST (FORECASTING)

£70,000 + BENEFITS

PRIMARILY REMOTE

If you’re are a highly educated individual (MSc, PhD) looking to work on meaningful data science problems in a remote, research-led environment, this could be a great fit.

THE COMPANY:

I’m working on a fantastic opportunity with a fast-growing SaaS company that’s transforming how the hospitality sector approaches pricing and forecasting. The team is applying advanced ML techniques to solve real commercial problems-everything from demand forecasting to booking behaviour clustering and light NLP use cases.

THE ROLE:

You’d join a high-calibre team in a full-stack data science role where you’ll build and deploy models end-to-end, owning projects from experimentation to production. A Data Scientist (forecasting) will need to:

• Building and deploying ML models (Python, Pandas, GCP)
• Forecasting revenue
• Exploring clustering techniques
• Applying NLP to classify ancillary bookings
• Collaborating with a small, high-calibre team of PhD-level Data Scientists, Engineers, and wider product team

YOUR SKILLS AND EXPERIENCE:

A successful Data Scientist will have the following skills and experience:

• MSc or PhD level of education
• Strong Python skills and experience with Pandas
• Cloud experience e.g. GCP
• A solid foundation in Statistics and ML.
• Experience with forecasting

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £70,000 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

Chief AI Engineer – AdTech

New York, New York – 4 days onsite

$300,000 – $350,000 + bonus + equity

THE COMPANY

Harnham is partnering with a new client that builds AI platforms which enhance performance by delivering real-time relevance at critical points in the customer journey. Using intelligent systems and a global digital commerce framework, the platform powers high-volume interactions between millions of users and major brands. Following a significant valuation increase in early 2025, they are expanding rapidly across international markets, particularly in AI. The AI engineering team builds scalable, data-driven solutions that personalize user experiences and equip marketers with actionable insights, all while working with large-scale infrastructure and diverse technologies.

RESPONSIBILITIES

• Work closely with product managers and engineers to align on business goals, define machine learning challenges, and design effective ML solutions.

• Develop and deploy machine learning models, including building data pipelines, orchestrating ML workflows, and optimizing system performance and reliability.

• Maintain a robust codebase by writing well-tested code, covering both functional and non-functional aspects such as unit, integration, and load testing.

• Stay informed on industry trends and advancements in deep learning, experiment with new model concepts, and run both offline and online evaluations.

• Actively share knowledge through internal presentations, tech talks, and by promoting best practices in engineering and technology use.

SKILLS AND EXPERIENCE

• Advanced degree (Master’s or PhD) in Computer Science, Machine Learning or a related field.

• Over 10 years of hands-on experience developing and deploying production-ready machine learning systems, covering the full model lifecycle-training, tuning, deployment, serving, and monitoring.

• Advertising experinece with real-time bidding, auction models, dynamic pricing, recommendation engines, multi-armed bandits and causal inference techniques preferred.

• Expertise in cloud infrastructure (especially AWS), machine learning orchestration tools like Kubeflow, TensorFlow, and the use of Feature Stores in live environments.

• Experience scaling out MLE teams as tech lead or manager preferred.

• Commercial experience combination of big tech and scaling startups a plus.

BENEFITS

The compensation package contains a base salary, a bonus, and a comprehensive benefits package.

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page.

KEY TERMS

Artificial Intelligence | Generative AI | GenAI | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real Time Bidding | Auction | Statistics | Mathematics | AdTech | Advertising | Python | Recommendation Engine | Recommender System | Personalization | Bespoke | Target Audience

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Lead Data Scientist – Fintech

$200,000-$225,000 + bonus + benefits

Remote

About the Organization

Join a global financial services company delivering intelligent information and technology solutions to professionals in legal, tax, compliance, and corporate sectors. The team is part of the organization’s innovation hub, focused on applying AI, LLM, and data science to create forward-looking tools.

The environment combines the best of both worlds: startup energy with enterprise support. Projects include building agentic systems to automate tax prep and document summarization for legal and financial workflows.

About the Role

This is a tech-lead, model building / development-focused role-ideal for someone with a strong foundation in applied NLP research and a passion for making machine learning work in the real world. You’ll own experiments, iterate on PoCs, and help define how ML models are built for in production environments.

What You’ll Bring

• 5+ years of machine learning and NLP modeling experience in applied research and production environments
• PhD in Computer Science, Computational Linguistics, Statistics or similar highly preferred
• Technical leadership experience required; direct people management a plus
• Experience with LLMs and agents for financial services, legal or compliance
• Background in: NLP: Named Entity Recognition / NER, information extraction, and information retrieval
• Cloud environments (provider-agnostic), AWS or GCP a plus
• Python, PyTorch, TensorFlow, Hugging Face, BERT, RAG experience preferred
• Publication and patent history a plus
• Strong collaboration and communication skills, including experience working with non-technical stakeholders
• Independent problem-solver with a proactive mindset

Preferred Experience

• Technical leadership on NLP products
• Experience delivering LLM-based solutions
• Familiarity with all stages of the AI product lifecycle
• Startup or fast-paced innovation environment experience

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | GenAI | Gen AI | Generative AI | LLMs | Large Language Models | Artificial Intelligence | Applied Research | Production | AI | Artificial Intelligence | Publications | Patents | PyTorch | Python | Deployment | Hugging Face | RAG | Retreival Augmented Generation | Agents | NLP | Natural Language Processing | Chatbots | NER | Information Extraction | Information Retrieval

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To Apply for this Job Click Here

CRM Insights Analyst
Up to £43,000
Hybrid – Birmingham (2x days per week)

THE CLIENT
An exciting opportunity to join a leading organisation in the travel industry.

THE ROLE
In this position, you will deliver insights and analysis on campaign performance, customer segmentation, and audience targeting-all aimed at increasing customer reach and engagement frequency.

SKILLS
Strong experience as a CRM Insight Analyst
Proficiency in SQL
Experience with Python, data visualisation tools, and Google Analytics 4 is a plus.

APPLY
To express your interest, send an email or apply below.

To Apply for this Job Click Here

To Apply for this Job Click Here

AI Engineer

Location: Remote-First (UK Based)
Salary: £70,000

The Role

I’m working with a start up company who are are looking to hire an AI Engineer to help design and deploy LLM-powered tools. You’ll prototype and build end-to-end systems that extract and act on data from diverse document types using LLMs, RAG pipelines, and agent-based reasoning.

Experience Required

• Strong Python engineering skills and experience with AI tooling
• Experience building and deploying microservices (FastAPI, Kubernetes)
• Familiarity with CI/CD pipelines and modern software practices
• Background in document extraction and reasoning (LLMs, RAG, agents)
• Exposure to multimodal data (text, images, structured)
• MLOps, model monitoring, and rapid prototyping (Streamlit, Dash, etc.)
• 3-4+ years in software or ML engineering roles

The Interview Process

1. Intro chat with Lead Data Scientist
2. Take-home technical challenge – Focused on structuring AI software
3. Final stage interview – Deep dive with the wider team

To Apply for this Job Click Here

To Apply for this Job Click Here

Head of Commercial Analytics | £135,000 + Bonus + Equity

A leading global marketplace is hiring a Head of Commercial Analytics to steer strategic commercial performance and lead a high-impact analytics function across a highly competitive consumer sector in the UK.

The Role
You’ll oversee a senior team across Pricing, Trading, and Customer Analytics – using data to drive strategy, defend market share, and unlock growth opportunities. This is a commercial, P&L-focused role where analytics is central to decision-making and business performance.

Your Impact

• Own and lead analytics across pricing, promotions, customer behavior, and trading performance

• Partner closely with Strategy, Commercial, and Marketing to drive revenue and market share growth

• Identify and action opportunities across core and emerging customer segments

• Develop experienced senior managers while remaining close to the most business-critical analytical work

What We’re Looking For

• Experience leading large, high-performing analytics teams (including managing other managers)

• Deep commercial acumen – with a strong grip on pricing, trading, and end-to-end P&L performance

• Marketplace/platform experience preferred

• Experience across global or multi-region environments is a plus

Package

• £135,000 base salary

• Discretionary bonus

• Full benefits package

Interview Process

• Intro interview with Analytics Director

• Case presentation with Strategy leadership

• Final interview with the UK Managing Director

• Ready to make a strategic impact at scale? Apply in confidence to learn more.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Marketing Analyst – SaaS & Marketplace | £70,000 + Benefits | Hybrid (2x/week in Central London Office)
Industry-Leading Tech Platform | High-Growth, International Team

An innovative and fast-scaling tech platform is hiring multiple Senior Analyst to join their expanding analytics team. Operating across both B2B SaaS and B2C Marketplace models, the business connects customers with service providers across multiple European markets and processes over 1 million bookings monthly.

As a Senior Analyst, you’ll play a key role in using data to drive business decisions, working closely with product managers, engineers, and senior stakeholders (including the CFO). You’ll be uncovering insights that fuel product development, customer growth, and commercial strategy.

What you’ll do:

• Lead analytical deep-dives to identify trends, opportunities, and areas for optimisation

• Deliver clear, actionable insights that influence high-level business decisions

• Projects may include customer segmentation, cohort analysis, CLV modelling, pricing strategy, and product funnel performance

• Present findings to senior stakeholders and help define next steps

• Improve profitability and efficiency across user journeys – both customer and partner side

⚙️ Tools & Environment:

• SQL, Redshift, Looker

• Collaborative product-focused teams, embedded in a modern data stack

What we’re looking for:

• Solid experience in analytics or data roles within a fast-paced tech or product environment

• Strong commercial awareness and ability to drive decisions with data

• Excellent communication and stakeholder engagement skills

• Curious mindset and hands-on approach to solving complex business problems

Offer:

• £70,000 base salary + comprehensive benefits

• Hybrid work – 2 days/week in Central London office

• Join an international team of 800+ in a mission-driven business with European reach

• High visibility and genuine impact on company growth

If you’re a data-driven problem-solver who enjoys working across product, marketing, and commercial teams – this is your chance to shape the future of a high-growth platform.

Apply now to learn more.

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