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FRONT-END DEVELOPER – (React)

UP TO £50,000

PRIMARILY REMOTE

Want to take full ownership of a front-end build and create seamless user experiences that bring powerful technology to life?

THE COMPANY:

I’m working with a company working with the public sector and infrastructure partners. Their mission is to make complex data more actionable through AI-powered automation, and they’re now hiring a Front-End Developer to lead on the UI side of their core platform.

THE ROLE:

You’ll join a highly collaborative, multi-disciplinary product team working on a brand-new web platform. As the lead front-end developer, you’ll be responsible for shaping how users interact with the product and translating complex data into an intuitive interface.

Key responsibilities include:

• Leading the front-end development using React and Tailwind CSS
• Integrating with Node.js APIs and dynamic real-time data flows
• Ensuring fast, accessible, and responsive user interfaces
• Collaborating with AI and back-end teams to visualise technical outputs
• Contributing to long-term architecture and UI/UX strategy
• Deploying to a modern cloud environment (AWS) and iterating in an agile setup

YOUR SKILLS AND EXPERIENCE:

A successful Front-End Developer will bring:

• Experience building with React
• Experience with Tailwind CSS or other utility-first CSS frameworks
• Solid knowledge of API integration (REST and WebSockets)
• Familiarity with modern testing practices (unit/component/E2E)
• Bonus: knowledge of Python or experience in AI/ML environments
• Comfortable working in fast-paced, early-stage environments
• Strong communication skills and a user-first development mindset

THE BENEFITS:

You’ll receive a salary of up to £50,000 depending on experience.

HOW TO APPLY:

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

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SENIOR DATA ENGINEER

UP TO £70,000 + BENEFITS

HYBRID – West Midlands

Want to take ownership of business-critical legacy systems, mentor others, and support a major organisation on its journey to the cloud?

THE COMPANY:

I’m working with a UK-based financial services provider. They’re currently undergoing a large-scale data transformation, shifting from legacy on-prem systems to a cloud-based infrastructure.

THE ROLE:

You’ll join a collaborative team of 10 Data Engineers, focused on maintaining and evolving the company’s SQL Server environment-a vital part of day-to-day operations. You’ll work across a variety of financial and operational data projects that deliver real business value while contributing to documentation and planning for eventual system decommissioning.

Key responsibilities include:

• Developing and maintaining ETL pipelines with SSIS
• Building and supporting reporting processes with SSRS
• Writing complex queries and transformations using T-SQL
• Translating stakeholder requirements into robust, scalable data solutions
• Producing technical documentation to support future system transition
• Mentoring junior team members and contributing to peer reviews
• Collaborating with colleagues across data architecture, BI, governance, and delivery

YOUR SKILLS AND EXPERIENCE:

A successful Senior Data Engineer will bring:

• Experience in Data Engineering or SQL development
• Strong SQL Server and T-SQL expertise
• Experience working with SSIS and SSRS
• Strong communication and stakeholder management skills
• Experience in financial services or regulated environments (preferred)
• Confidence presenting and documenting technical solutions

THE BENEFITS:

You will receive a salary of up to £70,000 depending on experience, along with a comprehensive benefits package.

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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Customer Insights Analyst
Up to £51,000
Hybrid – Manchester (2x days in the office)

THE COMPANY
We have partnered with a global organisation operating in the education sector to source a Customer Insights Analyst.

THE ROLE
The role involves analysing customer performance and satisfaction data to uncover trends and identify opportunities for improvement. You will assess how customers engage with products, determine which areas are most effective, and model these behaviours to enhance strategies. Additionally, you will be responsible for developing and maintaining dashboards and reports to track key learning KPIs such as engagement, success rates, and satisfaction.

SKILLS AND EXPERIENCE
SQL or Python.
Power BI or similar (Microsoft Fabrics is advantageous).
Understanding of data modelling.
Experience in the education sector is very advantageous.

APPLY
Send your CV or apply to below to register your interest.

To Apply for this Job Click Here

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Learning Analyst

Location: Hybrid – 2x per week in Manchester

Salary: Up to £51,000

The Company

This is an opportunity to join one of the world’s largest and most recognised education providers. Operating in over 30 countries, this organisation is on a mission to improve learner outcomes through innovation, data, and evidence-based practices. As part of their ongoing transformation through “Education 4.0,” they’re using data to personalise learning and evolve teaching methods – and they need analytical minds to support that journey.

The Role

This is a specialist analytics role focused on evaluating and improving learning performance. You’ll sit within the Customer Insight function but work closely with the Learning & Curriculum team. Your day-to-day remit will involve analysing how learners interact with digital products and content, recommending behavioural improvements, and helping shape strategic decisions that drive learner engagement and success.

This is a role with real social impact – every recommendation you make contributes to improving learning journeys for thousands of students across the UK and beyond.

Key Responsibilities

– Analyse learner performance and satisfaction data to identify trends, pain points, and areas of opportunity.
– Evaluate the impact of instructional design, content, and new learning features through robust A/B testing and statistical significance testing.
– Develop and maintain dashboards using Power BI, supported by SQL and Python-based ETL pipelines.
– Help shape a centralised Learning Analytics Framework that tracks key KPIs on learner success, engagement, and satisfaction.
– Translate complex analysis into accessible insight for stakeholders across product, learning, curriculum, and academic teams.
– Collaborate with IT to ensure data quality and integrity across Microsoft Fabric environments.
– Document and manage data models, analysis logic, and reports to support repeatable, scalable insight generation.
– Contribute to predictive modelling projects focused on personalising learning journeys and improving learner retention.

Skills & Experience

Essential:
– Strong SQL skills for data extraction and transformation.
– Proficiency with Power BI for reporting, dashboarding, and data storytelling.
– Comfortable using Python (or R) for analysis and statistical testing.
– Knowledge of Microsoft Fabric or similar cloud-based data platforms.
– Experience running A/B tests, calculating effect sizes, and analysing statistical significance.
– Ability to communicate insight clearly to technical and non-technical audiences.
– A proactive mindset and an understanding of how data supports better learning experiences.

Desirable:
– Experience in the education or ed-tech sector.
– Understanding of learning science or instructional design principles.
– Knowledge of GDPR and learner data ethics.
– Degree in data science, statistics, or a related field.

Career Progression

This role offers several clear development paths within the organisation:
– Move into Senior Analyst or Insight Manager positions within the Insight team.
– Progress into specialist tracks such as data science or data engineering.
– Take on cross-functional projects across curriculum design, academic operations, or product teams.

Benefits

– Up to £51,000 salary
– Flexible hybrid working
– Join a globally recognised education brand
– Be part of a mission-led business improving outcomes for learners worldwide
– Opportunities to work with the latest cloud and analytics tools (Microsoft Fabric, Python, Power BI)

How to Apply

If you’re passionate about using data to make a real difference in education, get in touch with Mohammed Buhariwala at Harnham to discuss the role and next steps.

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Senior Data Scientist – Credit Risk Modelling
£60-85,000 (dependent on experience)
London

THE COMPANY

This successful and ambitious lending business are going from strength to strength. They are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning techniques. This role is an opportunity for someone to be part of a successful company which is continuing to grow whilst driving impact in your work at the forefront of the market.

THE ROLE

• Work across a range of credit models within the business, predominantly scorecards and broader decisioning models
• Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business
• Own the deployment and implementation of predictive models across the product suite
• Working closely with the Credit and Product teams to enhance performance and profitability across the business by collaborating on strategies and model enhancements

YOUR SKILLS AND EXPERIENCE:

• Essential to have experience developing predictive models within a Credit Risk setting
• SQL and Python experience is essential
• Essential to have experience using Machine Learning techniques to develop non-linear models
• Experience in a fast-paced environment and ability to work across multiple projects, in a FinTech

SALARY AND BENEFITS

• Base salary from £60-85,000 depending on experience
• Share options
• Company pension scheme
• Private medical care

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

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To Apply for this Job Click Here

Customer Insight Analyst

Manchester (Hybrid – 2x Days a Week in Office)

£45,000-£55,000

Are you passionate about using data to transform learning experiences and drive real educational outcomes? We’re working with a leading education provider undergoing a curriculum transformation and looking to bring in a Learning Analyst to sit within their high-performing Insight function. Reporting into a Senior Insight Manager, this role is a great opportunity to combine analytics, modelling, and experimentation to shape how thousands of learners engage with digital products!

THE ROLE

You’ll be joining a growing team (currently 8, will be 10 by end of year) and will work closely with Learning & Curriculum, Product, and IT teams to deliver insights that improve learner performance and satisfaction. A large part of the role will involve:

• Analysing learner data and product performance across key educational programmes.
• Running A/B tests and building predictive models to improve retention and personalise learning paths.
• Using tools like Power BI and Microsoft Fabric to surface insights that inform design and curriculum improvements.

This is a great chance to get stuck into modern data & analytics platforms in order to deliver tangible success for the organisation

YOUR SKILLS & EXPERIENCE

• SQL – good level of proficiency
• Exposure to Microsoft Fabric preferrable but not essential
• The ability to communicate findings in a clear, compelling way to non-technical stakeholders

THE BENEFITS

• £45,000-£55,000 (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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TECH LEAD DATA

1-2 JOUR DE TÉLÉTRAVAIL

A PARTIR DE 60K€ FIXES

Talend – Snowflake – AWS

L’ENTREPRISE

C’est une entreprise reconnue dans le secteur automobile depuis plusieurs années. Implantée sur plusieurs marchés, elle mise sur son expertise et son dynamisme pour accompagner ses clients.

LES MISSIONS

En collaboration avec le Directeur Data, vous rejoindrez une équipe de 10 personnes, vous serez en charge de la modernisation de la stack technique actuelle (reprendre l’existant et l’améliorer). Vos missions seront les suivantes :

• S’approprier l’ensemble des pipelines existantes et les rendre plus robustes en proposant une nouvelle architecture data
• Mettre en place des systèmes de monitoring
• Prendre en charge l’équipe data et s’assurer qu’ils sont orientés data et delivery
• Participer et piloter les projets de migration
• Industrialiser des modèles d’IA et être force de proposition
• S’assurer de la mise en oeuvre des bonnes pratiques de traitement et sécurisation de de donnée
• Accompagner un profil plus junior (management direct) et l’aider à monter en compétences

VOTRE PROFIL

• Bac+5 au sein d’une école d’ingénieur ou université en data engineering ou gestion d’infrastructure
• Minimum 5 ans d’expérience sur un rôle similaire, sur des projets d’architectures data et management d’équipe transverse
• Solide expertise sur un outil d’ETL (Talend) et de Data Warehouse (Snowflake)
• La connaissance d’un cloud public est requise
• Compétences en MLops fortement appréciées
• Niveau d’anglais B1

POUR POSTULER

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

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Director of Data Engineering

Location: San Francisco or New York (Hybrid)

Compensation: $300-350K base + Equity

A $3B+ Series E SaaS company at the forefront of AI-powered enterprise transformation is looking for a Director of Data Engineering to scale its Data Platform and Analytics Engineering functions. This is a rare opportunity to lead the next phase of data infrastructure, powering everything from LLM-based product experiences to executive analytics and real-time experimentation.

What You’ll Lead:

• Data Platform Strategy: Define the roadmap for scalable, cloud-native infrastructure-streaming, compute, and storage-including technologies like Apache Iceberg, Kafka, and Snowflake.
• Team & Technical Leadership: Grow and mentor a high-performing data engineering team (2 → 10+), setting engineering standards and fostering technical excellence.
• Cross-Functional Collaboration: Partner with ML, Security, Legal, and Product teams to enable AI/ML platforms, telemetry pipelines, and governance at scale.
• Systems at Scale: Architect robust, real-time pipelines and petabyte-scale infrastructure with streaming pre-aggregations, observability, and cost efficiency.
• Operational Maturity: Drive platform reliability and compliance-readiness as the company prepares for IPO-implementing best practices in governance, testing, and infrastructure as code.

What We’re Looking For

• 10+ years in data engineering, with 5+ years of engineering leadership
• Deep experience scaling data platforms in high-growth SaaS, infrastructure or AI-first environments
• Expert in Kafka, Apache Iceberg, Snowflake, dbt, and cloud infrastructure (AWS or GCP)
• Proven success supporting ML/AI platforms and structured/unstructured data needs
• Strong track record of partnering with legal and compliance to build IPO-ready systems
• A collaborative, technical leader who thrives in fast-paced, high-impact settings

Why This Role

• Lead the data engineering charter at one of the most innovative companies in enterprise AI
• Own systems that power product analytics, experimentation, personalization, and LLM workloads
• Work side-by-side with the C-suite and play a pivotal role in company-scale transformation

To Apply for this Job Click Here

To Apply for this Job Click Here

Director of Data Engineering

Location: San Francisco or New York (Hybrid)

Compensation: $300-350K base + Equity

A $3B+ Series E SaaS company at the forefront of AI-powered enterprise transformation is looking for a Director of Data Engineering to scale its Data Platform and Analytics Engineering functions. This is a rare opportunity to lead the next phase of data infrastructure, powering everything from LLM-based product experiences to executive analytics and real-time experimentation.

What You’ll Lead:

• Data Platform Strategy: Define the roadmap for scalable, cloud-native infrastructure-streaming, compute, and storage-including technologies like Apache Iceberg, Kafka, and Snowflake.
• Team & Technical Leadership: Grow and mentor a high-performing data engineering team (2 → 10+), setting engineering standards and fostering technical excellence.
• Cross-Functional Collaboration: Partner with ML, Security, Legal, and Product teams to enable AI/ML platforms, telemetry pipelines, and governance at scale.
• Systems at Scale: Architect robust, real-time pipelines and petabyte-scale infrastructure with streaming pre-aggregations, observability, and cost efficiency.
• Operational Maturity: Drive platform reliability and compliance-readiness as the company prepares for IPO-implementing best practices in governance, testing, and infrastructure as code.

What We’re Looking For

• 10+ years in data engineering, with 5+ years of engineering leadership
• Deep experience scaling data platforms in high-growth SaaS, infrastructure or AI-first environments
• Expert in Kafka, Apache Iceberg, Snowflake, dbt, and cloud infrastructure (AWS or GCP)
• Proven success supporting ML/AI platforms and structured/unstructured data needs
• Strong track record of partnering with legal and compliance to build IPO-ready systems
• A collaborative, technical leader who thrives in fast-paced, high-impact settings

Why This Role

• Lead the data engineering charter at one of the most innovative companies in enterprise AI
• Own systems that power product analytics, experimentation, personalization, and LLM workloads
• Work side-by-side with the C-suite and play a pivotal role in company-scale transformation

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead Data Scientist – Personalization & Recommendation Engines

Location: SF Bay Area – Hybrid (3 days/week onsite)

Salary: $200-260k base + Equity

A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. You’ll work on high-impact ML solutions that directly shape user experience and business outcomes at massive scale.

What You’ll Do

• Lead full-lifecycle ML projects from idea to production across core areas like personalization, trust & safety, marketing optimization, and user engagement.
• Own the ML development process-from data exploration and feature engineering to model training, deployment, and post-launch optimization.
• Collaborate cross-functionally with ML engineers, PMs, and business stakeholders to identify and prioritize high-leverage initiatives.
• Experiment with emerging AI techniques, including GenAI, Computer Vision, and LLMs, to push the boundaries of what’s possible on the platform.
• Build scalable, production-ready ML systems that enhance key metrics like retention, engagement, and conversion.

What You Bring

• 7-10 years of experience building, deploying, and maintaining ML models at scale.
• Deep expertise in Python, SQL, Spark (PySpark or Scala) and frameworks like PyTorch or TensorFlow.
• Proven track record in consumer tech or large-scale marketplaces companies.
• Hands-on experience with CNNs, Transformers, Vision Transformers, and personalization algorithms.
• Background in user behavior modeling, search relevance, or real-time data systems.
• Strong foundation in experimentation (A/B testing), statistics, and applied ML.
• Exceptional communication skills and the ability to translate technical insights into business value.
• Experience with LLMs, RAG (Retrieval-Augmented Generation), or PEFT (Parameter-Efficient Fine-Tuning) techniques.

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff Machine Learning Scientist

Location: SF Bay Area – Hybrid (3 days/week onsite)

Salary: $200-260k base + Equity

A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. You’ll work on high-impact ML solutions that directly shape user experience and business outcomes at massive scale.

What You’ll Do

• Lead full-lifecycle ML projects from idea to production across core areas like personalization, trust & safety, marketing optimization, and user engagement.
• Own the ML development process-from data exploration and feature engineering to model training, deployment, and post-launch optimization.
• Collaborate cross-functionally with ML engineers, PMs, and business stakeholders to identify and prioritize high-leverage initiatives.
• Experiment with emerging AI techniques, including GenAI, computer vision, and LLMs, to push the boundaries of what’s possible on the platform.
• Build scalable, production-ready ML systems that enhance key metrics like retention, engagement, and conversion.

What You Bring

• 7-10 years of experience building, deploying, and maintaining ML models at scale.
• Deep expertise in Python, SQL, Spark (PySpark or Scala) and frameworks like PyTorch or TensorFlow.
• Proven track record in consumer tech or large-scale marketplaces companies.
• Hands-on experience with CNNs, Transformers, Vision Transformers, and personalization algorithms.
• Background in user behavior modeling, search relevance, or real-time data systems.
• Strong foundation in experimentation (A/B testing), statistics, and applied ML.
• Exceptional communication skills and the ability to translate technical insights into business value.

• Experience with LLMs, RAG (Retrieval-Augmented Generation), or PEFT (Parameter-Efficient Fine-Tuning) techniques.

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