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About the Company
Our client is on a mission to make high-quality math education accessible to every student, no matter where they live. Our platform blends handwriting, speech, and text with cutting-edge AI to create personalized, interactive learning experiences.

The Role
We’re looking for a React Developer who thrives on creating playful, modern interfaces that engage K-12 learners. You’ll help build features that feel alive and intuitive, with delightful animations and clean design. You’ll work closely with designers, founders, and AI engineers to create an experience students love.

This is a unique opportunity to shape the front-end of a global edtech product from the ground up. You must be comfortable working within a start up environment, on a small team.

Responsibilities:

• Own and build new features for student and parent dashboards using React, Tailwind, and Shadcn.

• Design smooth animations and thoughtful micro-interactions.

• Collaborate across design, AI, and backend teams to create multimodal (handwriting, speech, text) experiences.

• Write clean, maintainable code with strong state management.

• Contribute to the component library and advocate for front-end best practices.

• Continuously improve UX and suggest new ideas to enhance engagement.

Experience required:

• 2+ years of experience building production-grade React apps.

• Must have experience with component-based architecture and state management (Redux, Zustand, Jotai, etc.).

• Must have experience with handling side effects and asynchronous operations (e.g., with useEffect, useSWR, React Query)

• Experience with Tailwind CSS and/or Shadcn UI (or similar libraries).

• Must be able to code in JavaScript/Typescript without assistance

• Self-motivated, collaborative, and comfortable in a fast-paced startup environment.

Bonus Points If You Have

• Experience in K-12, edtech, or accessibility-focused applications.

• Familiarity with animation libraries (Framer Motion, Lottie, etc.).

• Exposure to audio/image/speech integrations or AI-based products.

• Backend familiarity with Python/Django or working with AI services.

Note: This candidate must be authorized to work in the U.S. We cannot provide sponsorship for this role now or in the future. We will not accept C2C applicants and are not looking to partner with outside vendors.

Name:

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Commercial Analyst – Global Media & Brand Consultancy (Hybrid – London)
£42,700-£53,700 + Bonus | 1-2 Days/Week in Office (Weds Anchor Day) | London

A globally recognised brand operating at the intersection of media, entertainment, and consultancy is looking for a commercially minded analyst to lead data insights across sales, pricing, and marketing.

This business blends content, data, and brand experiences across five continents. With a growing digital and commercial services arm, it offers a unique opportunity to own analytics strategy in a cross-functional team – influencing decisions at the highest level.

What You’ll Do:

• Partner with commercial and finance leads to analyse global business performance

• Build dashboards and reporting tools (Power BI, DOMO), automate workflows

• Work across Salesforce, NetSuite, GA, SQL/Python to uncover actionable insights

• Support forecasting, pricing strategy, and market trend analysis

• Drive data culture through training and enablement

You’ll Need:

• 3-5 years in commercial data roles (digital, tech, FMCG, or media ideal)

• Strong skills in SQL, Power BI; Python and DOMO a plus

• Experience translating data for senior, non-technical stakeholders

• Comfortable working independently in smaller, agile data teams

⭐ Why Join:

• True ownership of analytics across a high-profile, global business

• Exposure to senior leadership and strategic decision-making

• Exciting projects in digital transformation, predictive analytics, and new ventures

• 1pm Friday finishes, private healthcare, study support, and more

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

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Data Scientist

Salary: £70,000
Location: UK-based

A high-growth, data-driven company is seeking a hands-on, commercially minded Data Scientist to lead the development of intelligent matching algorithms, predictive models, and advanced recommendation systems.

This is a strategic individual contributor role where you’ll own high-impact projects from design to deployment and shape the future of search technology for some of the biggest names in private equity.

Ideal Candidate

• Experience: 5+ years in data science roles, preferably in fast-moving or early-stage environments
• Languages & Tools:
• Strong Python (Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch)
• Advanced SQL
• AWS
• MLOps tooling (e.g., MLflow, SageMaker, or similar)
• Bonus Points For:
• Knowledge of LLMs, RAG pipelines, prompt engineering, or agentic interfaces
• Experience with data warehouse tools (Snowflake, Redshift, BigQuery)
• Familiarity with search, matching, or recommendation systems
• Soft Skills: Independent, highly communicative, and comfortable working directly with senior leadership and commercial stakeholders

Interview Process

1. Screening conversation with hiring manager
2. Technical discussion with the VP of Engineering
3. Sign of chat with CEO

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Data Scientist – Price Optimisation

Location: Remote (UK-based, London preferred)

Salary: £60,000-£70,000 + 5-8% bonus + Equity

The Company

A global pricing and revenue optimisation leader originally focused on airline pricing, now expanding into the hotel and hospitality sector. Following the acquisition of Pace Revenue, the team in the UK forms a key part of their hotel pricing division, operating under the same Flyr brand.

The Role

This is a deeply analytical and research-driven role within the Pricing Optimisation team. You’ll be focusing on advanced mathematical modelling and pricing logic development to enhance the company’s pricing engine. Unlike traditional ML-focused roles, this will go deeper into statistical theory and pricing dynamics to influence global product strategy.

Key Responsibilities

– Research and develop advanced pricing models for hotel revenue optimisation.

– Work closely with other data scientists and engineers to deploy new logic.

– Collaborate on experimentation, testing and performance evaluation.

– Present findings to technical and non-technical stakeholders.

– Contribute to long-term pricing strategy alongside product and business teams.

Skills & Experience

Essential:

– PhD in a mathematics, statistics or quantitative field (or Master’s with strong pricing experience).

– Excellent Python and Pandas skills.

– Strong understanding of machine learning principles (excluding deep learning).

– Ability to work independently on complex mathematical problems.

– Research-led mindset with a passion for optimisation.

Desirable:

– Experience with pricing in hospitality or travel sectors.

– Familiarity with academic or research environments.

Team & Structure

You’ll join the Pricing Optimisation team, working alongside 3 Senior Data Scientists under the management of James Butler. The wider DS function includes a Forecasting team and engineering support, with additional collaboration across global locations.

Benefits

– 5-8% performance bonus (depending on level)

– Equity

– Private healthcare

– 25 days holiday

– Nursery benefit (tax-free)

– Remote-first working policy (UK only)

Interview Process

1st Stage: Intro chat with DS Manager

2nd Stage: Live technical screen share coding task (1 hour)

3rd Stage: Take-home task (up to 3 hours)

4th Stage: Presentation (30 mins)

5th Stage: Deep dive on ML and culture fit

Final Stage: VP sign-off conversation

How to Apply

Send your CV to Mohammed Buhariwala at Harnham or reach out directly for more information about the opportunity.

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Senior Pricing Optimisation Data Scientist

Location: UK-based
Salary: £60,000 – £70,000

The Opportunity

Join a global leader in pricing and revenue intelligence, recently expanded through the acquisition of a high-growth startup. As part of a specialised team of highly academic Data Scientists, you’ll contribute to cutting-edge pricing algorithms that help reshape decision-making in travel and hospitality industries.

This is a deeply analytical role that values theoretical understanding and scientific thinking over production engineering. If you enjoy complex, research-driven problems with real-world impact – this is for you.

What You’ll Do

• Conduct deep research into pricing optimisation strategies for hotel revenue
• Develop models in Python using Pandas, statistical tooling, and custom algorithms
• Translate real-world pricing problems into mathematical and statistical frameworks
• Work independently and contribute to a culture of intellectual rigor and curiosity

Ideal Profile

• PhD in Mathematics, Statistics, Physics, or a related quantitative field (Master’s with significant pricing optimisation experience considered)
• Strong foundation in statistical modelling, optimisation, and machine learning fundamentals
• Fluent in Python and data science tools (e.g., Pandas, NumPy)
• Prior experience in revenue management or pricing is a plus, but not required

Interview Process

1. Intro chat
2. Take-home exercise and presentation
3. Sign off chat

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COMMERCIAL DATA ANALYST

£42,000 – £53,000

LONDON – 1-2X A WEEK

*Please note, this company is unable to sponsor, and you must be a UK resident to apply*

THE COMPANY

Join a dynamic global company that has evolved from a publishing icon into a leading multimedia and brand consultancy business. With a focus on storytelling, data, and creative brand engagement, the company partners with major international clients to deliver unique campaigns, media content, and immersive experiences. Now operating across five continents, it continues to grow through innovative services such as corporate events, digital content, media licensing, and consultancy, making it an exciting time to be part of its expanding, content-driven team.

THE ROLE

This client is looking for a commercially minded data analyst to join and help turn complex data into actionable business insights. In this role, you’ll partner with teams across the business to gather and connect data from systems like Salesforce, NetSuite, and Google Analytics. You’ll create clear, reliable dashboards and play a key part in strategic planning, delivering insights on pricing, product performance, market trends, and customer satisfaction. From building automated reports to supporting forecasting and marketing analysis, you’ll help drive smarter decisions across the organisation.

SKILLS + EXPERIENCE

• Strong SQL a requirement (Python too is a nice to have)
• Any data visualisation tool experience, ideal if DOMO
• Experience working in an individual contributor role, or smaller data team – a self-starter is a must!
• Background in digital, retail, tech or FMCG

HOW TO APPLY

If this sounds like the role for you, swiftly send over your CV to Izzi at Harnham by using the link below.

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Data Scientist

£60,000-£70,000

Fully Remote in The UK

THE COMPANY

If you’re tired of tweaking models that never make it to production; read on! A tight-knit, PhD-led team is building next-gen pricing and forecasting models that actually go live; think hotels, flights, and real-time demand shifts. This is real, applied data science: you’ll be developing and owning models end-to-end, not just passing a notebook to someone else!

THE ROLE

In the role you will:

• Develop ML models for price optimisation and demand forecasting
• Work with Bayesian stats, time series analysis, Monte Carlo, RL
• Directly influence pricing decisions in a real commercial setting
• Integrate external and internal data streams to reflect live market dynamics

YOUR SKILLS AND EXPERIENCE

• PhD Background
• Strong Python

THE BENEFITS

• £60,000-£70,000 (DOE)

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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ENGINEERING MANAGER GDS

UP TO 76K€ FIXES + 10% variable

FULL REMOTE

Une entreprise innovante dans le sud de la France recherche un profil Engineering Manager pour accompagner les équipes de développeurs et mettre en place des good practices.

LE POSTE

En tant qu’Engineering Manager, vous piloterez une équipe de 10 personnes dont des développeurs backend. Vous serez responsable de l’architecture et de la supervision des aspects techniques de la mise en œuvre, de l’intégration, de l’optimisation et de l’innovation des systèmes de transport. Ce poste combine une expertise technique approfondie dans les secteurs de l’aviation et du transport avec de solides compétences en leadership et en réflexion stratégique :

• Assurer l’alignement des décisions techniques avec les objectifs stratégiques de l’entreprise, en mettant l’accent sur la satisfaction client et l’optimisation des coûts GDS, tout en gérant les budgets et les relations avec les parties prenantes clés.

• Diriger le développement et l’implémentation des stratégies d’ingénierie du transport, en intégrant les technologies GDS et NDC

• Veiller au respect des réglementations en matière de santé, de sécurité et des normes de l’industrie dans tous les aspects techniques et opérationnels.

• Encadrer, former et développer votre équipe en favorisant une culture d’innovation et d’amélioration continue.

• Travailler en étroite collaboration avec les équipes Produit, Data Science et Expérience Client pour assurer une approche cohérente et performante.

VOTRE PROFIL

• Bac+5 en école d’ingénieur ou université
• 8-10 ans d’expérience en développement backend (Java, Go ou Php) dans le domaine du transport ou au sein d’une startup en forte croissance
• Minimum 5 ans d’expérience en management d’équipe de développeurs
• Connaissance de l’industrie aérienne et des systèmes GDS
• Forte aptitude à communiquer des concepts techniques complexes à des parties prenantes techniques et non techniques
• Bon niveau d’anglais

C’est un poste en CDI, non ouvert au freelance et en full remote.

POUR POSTULER

Merci de me faire part de votre CV et je vous recontacterai au plus vite.

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This is the first product hire and will report directly to the founder. It’s designed for someone who wants to drive product direction end-to-end – not just manage a roadmap. You’ll own the “what” and the “why,” work closely with engineering to deliver, and partner with go-to-market to ensure the product reaches users successfully.

The Role
This is the first product hire and will report directly to the founder. It’s designed for someone who wants to drive product direction end-to-end – not just manage a roadmap. You’ll own the “what” and the “why,” work closely with engineering to deliver, and partner with go-to-market to ensure the product reaches users successfully.

Initially scoped as an individual contributor role, but with a clear path to grow into a leadership position.

What They're Looking For

• Execution-Oriented PM with a track record of shipping high-impact work at high-growth companies - someone who's done more than hold a title.

• Structured Thinker who can break down ambiguous problems and help engineering make sound, fast decisions.

• Technically Conversant - you don't need to write code, but you should be able to engage deeply with engineers and understand trade-offs.

• Strong Communicator who can prioritize, align stakeholders, and operate cross-functionally with clarity.

Preferred Background
Experience at an early or mid-stage company in AI, hardware, or IoT - especially during a time of meaningful growth. Candidates from companies like Flock Safety, Samsara, Verkada, or Axon tend to align well. Impact and contribution matter more than brand names.

Team Structure

• Reports to Founder (currently the acting PM)

• Small engineering team spanning AI, hardware, and full-stack

• Highly collaborative, technical environment

Benefits

• Unlimited PTO

• Strong healthcare coverage

• No 401k at this stage

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Head of Data & Analytics
New York City (Hybrid)
Education
Salary: $270,000 – $300,000 + Bonus

Harnham is currently supporting a high-growth organization in the education sector as they look to appoint a Head of Data & Analytics. This is a senior leadership role within a well-established and innovative technology division, responsible for enabling data-driven decision-making across the enterprise.

Overview

The organization is undergoing a significant digital transformation and views data as a key strategic asset. The Head of Data & Analytics will lead a multifunctional team and oversee enterprise data architecture, reporting, advanced analytics, and data science. This individual will play a critical role in ensuring accurate, timely, and actionable insights are available to inform decisions at all levels of the business.

Key Responsibilities

• Build strong relationships with stakeholders across the business to understand and serve their data needs
• Lead and develop the enterprise data and analytics function, maintaining high standards for data quality, delivery, and insight
• Oversee data engineering and analytics processes, ensuring scalability and efficiency through automation and standardization
• Present complex data findings in a clear and actionable manner to senior leadership and non-technical audiences
• Develop and drive the strategic roadmap for analytics and AI adoption across the organization
• Collaborate with technology teams to optimize data flow and system integration
• Ensure best practices in data governance, visualization, and statistical modeling

Required Experience

• Strong track record of managing large-scale data teams encompassing data engineering, visualization, and data science
• Advanced proficiency in statistical modeling, predictive analytics, machine learning, and time-series analysis
• Hands-on experience with tools such as Python, Java, SQL, and cloud platforms like AWS or Azure
• Deep knowledge of BI platforms such as Looker, Power BI, or Qlik
• Exceptional communication and stakeholder management skills, with the ability to influence executive leadership
• Experience with agile methodologies and working in fast-paced, resource-constrained environments
• Prior exposure to education, EdTech, or public sector organizations is beneficial but not required

Why Apply?

This is a rare opportunity to lead a high-performing data team at a values-driven organization making a measurable impact in the education space. The successful candidate will play a pivotal role in shaping enterprise data strategy and enabling innovation through analytics.

To learn more or express interest in this role, please contact Oisin Ennis at Harnham for a confidential discussion.

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Lead AI Engineer – Financial Services | $200,000-220,000 + Bonus + Benefits
Location: New York, NY (REMOTE)
Industry: Financial Services

Harnham is proud to partner with a dynamic and fast-growing financial services firm which works directly with people to help along their financial journey. They are looking to hire their first Lead AI Engineer, someone passionate about building innovative machine learning solutions and driving thoughtful AI & LLM initiatives at an enterprise level.

This is a unique opportunity to take a hands-on leadership role, building machine learning and LLM capabilities, while shaping a team and strategy that supports long-term innovation and responsible AI use.

THE ROLE

As Lead AI Engineer, you will:

• Partner closely with engineering and business teams to design and deliver machine learning solutions that address complex challenges.

• Build and deploy ML and LLM models that support key initiatives in chatbot, voicebot and customer support center agents.

• Lead development of NLP applications such as text classification, summarization, and information extraction to support customer engagement and insights.

• Help define meaningful performance metrics (KPIs) for AI solutions and foster an environment of transparency and learning.

• Contribute to a culture of innovation by mentoring others, sharing knowledge, and laying the groundwork for a growing AI team.

YOUR SKILLS & EXPERIENCE

We’re looking for someone with:

• 5+ years of experience in applied data science, machine learning, or related AI fields. 2+ most recent years using LLM / RAG technologies.

• A degree in a STEM or quantitative field such as Computer Science, Engineering, Mathematics, or Statistics.

• A strong track record of translating technical work into business value, particularly with cross-functional or non-technical stakeholders.

• Experience leading projects end-to-end, with mentorship or team-building experience.

• Proficiency in Python and familiarity with LLM tools like LangChain, Hugging Face, Llama.

• Exposure to cloud platforms (AWS preferred, but not required) and data visualization tools.

• Comfort and familiarity working in fast-paced environments like hyper-growth startups is a plus.

THE BENEFITS

• Competitive salary range of $200,000-220,000

• Performance-based bonus

• Comprehensive health and wellness benefits

• Better than market average retirement match

• Opportunity to build a strategic AI function from the ground up in a highly respected firm

• Supportive, forward-thinking leadership team invested in responsible innovation

HOW TO APPLY

If you’re excited about building impactful AI solutions and leading with curiosity, care, and purpose, we’d love to hear from you.

Please submit your résumé to Tim Jonas using the “Apply” link on this page.

Keywords:
AI Engineering | Machine Learning | NLP | LLM | Large Language Models | Financial Services | Responsible AI | Python | Cloud | Data Science | Llama | Leadership | Agents | Cross-functional Collaboration | Team Management | LangChain | Hugging Face | Chatbots | Voicebots

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OMNI-CHANNEL ANALYTICS PARTNER

Ontario, Canada

Remote

A leading pharmaceutical company is looking for two Brand Analytics Partners to join their Commercial Analytics function that will play a pivotal role in shaping brand strategy through robust data insights.

The Role:

As a Omni-Channel Analytics Partner, you’ll work closely with commercial and brand teams to drive evidence-based decision-making. You’ll be hands-on with data, building models and drawing insights that directly impact brand performance.

Key Responsibilities:

• Optimize omnichannel marketing strategy – determine the right mix of channels and messaging for HCPs and patients.
• Build models to drive marketing decisions: propensity models, segmentation, next-best-action, uplift models, and more.
• Develop and evaluate attribution models, A/B tests, test vs. control frameworks, and campaign response models.
• Perform data wrangling, feature engineering, and model development using large, raw datasets.
• Translate analytics into actionable commercial recommendations across brand, sales, and digital teams.
• Collaborate cross-functionally on strategic planning and execution.

Your Skills & Experience:

To succeed in this role, you’ll need:

• Strong background in data science, statistics, or a STEM field.
• Proficient in SQL and Python (R a plus) – hands-on with large datasets.
• Able to build, validate, and interpret complex models.
• Experience with commercial or omnichannel analytics in pharma, healthcare, or digital media.
• Familiarity with claims, field sales, or prescription data.
• Comfortable presenting data-driven insights to non-technical stakeholders.

Apply Below!

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