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Customer Insights Analyst
London

£45,000 to £55,000 plus bonus

Hybrid

The Role

This is a great opportunity for you to take ownership of ecommerce customer analytics within a well-known consumer brand and see your insights directly shape digital and direct to consumer strategy across EMEA.

The Company
They are a leading consumer brand with a strong presence across ecommerce, retail stores, and outlet channels. Data and customer insight sit at the heart of their decision making, and they are investing heavily in analytics to better understand and serve their customers.

The Role
In this Customer Insights Analyst role, you will:

• Lead customer analysis and insight for the ecommerce channel across EMEA.
• Deliver BAU and ad hoc analysis on customer behaviour, performance, and lifetime value across direct to consumer channels.
• Work with multiple data sources, using SQL to query large customer datasets and combining information from internal teams to create a holistic view of customer performance.
• Partner with Ecommerce, Performance Marketing, and Media teams to embed customer insights into campaign planning, targeting, and optimisation.
• Develop clear, visual presentations and insight decks that explain what is happening, why it matters, and what actions to take.

Your Skills And Experience
You will bring:

• Strong commercial experience in customer insights, marketing analytics, or CRM analytics, ideally within a retail, ecommerce, or consumer environment.
• Confident SQL skills for querying and manipulating large customer datasets.
• Hands on experience with data visualisation tools such as Tableau or similar.
• High proficiency in Excel and PowerPoint for analysis and storytelling.

What They Offer

• Salary in the region of £45,000 to £55,000 plus bonus, depending on experience and capability.
• Hybrid working in London, with regular time in a central office environment.
• The chance to shape ecommerce and customer strategies for a high profile consumer brand across EMEA.
• Close partnership with senior stakeholders across Ecommerce, Marketing, and Media.
• Clear opportunities for career development within Customer Insights and the wider Data and Analytics community.

How To Apply
Click the link below and attach your CV if this role interests you.

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Revenue Manager
London (Hybrid)
Up to 50,000 plus benefits

Take the next step in your revenue management career with a role that offers scale, complexity, and the chance to shape commercial performance across one of the UK’s busiest intercity networks. This is an ideal opportunity for someone ready to step up into a broader leadership role while still staying close to hands‑on revenue delivery.
The Company

They are a major UK transport operator providing long‑distance rail services across the West and North West regions. Following a long contract extension, the business is entering a period of significant investment, stability, and commercial transformation. Revenue management plays a central role in how they plan, price, and deliver services, giving you the chance to influence high‑impact decisions. Their commercial team works with large, complex datasets to maximise revenue, optimise customer experience, and make data‑driven improvements across routes and services.

The Role
In this Revenue Manager role, you will have both strategic and operational ownership of revenue performance across a key route. You will:
* Lead revenue management initiatives, owning strategy, pricing, and yield optimisation.
* Manage day‑to‑day performance while driving long‑term commercial improvements.
* Support and coach a growing team of analysts to meet revenue targets.
* Use data insights to influence pricing decisions and ensure trains are optimally filled and correctly priced.
* Take ownership of a core route, likely Anglo‑Scot, with autonomy to shape its commercial success.
* Collaborate closely with inventory, forecasting, and commercial planning teams.

Your Skills and Experience
You will succeed in this role if you have:
* Strong commercial experience in revenue management and yield optimisation.
* A highly analytical mindset with strong Excel capability.
* Proven success using data to drive pricing decisions and achieve revenue targets.
* Experience working with complex, high‑volume datasets.
* Transport sector experience is strongly preferred due to the pace and complexity of the environment.
* The ability to coach and support more junior analysts.

What They Offer
* Salary up to 50000, with a target hiring range in the mid‑40s.
* Final salary pension scheme.
* Free travel for you and your dependants.
* Privilege Travel Card offering 75 percent off most UK rail operators.
* 30 days holiday rising annually to 37.
* 10 free journeys per year on other operators within the group.
* Clear progression into broader revenue leadership roles.

How to Apply
If you are ready to take on greater ownership and impact in revenue management, apply today to be considered.

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Lead Data Scientist

London

85-120k

If you’re a hands-on Data Science / AI specialist who loves solving real operational problems, this role puts you right at the heart of client delivery. You’ll shape the problems, design and build the solutions, and see your models deployed into live environments – not parked as endless POCs.

THE COMPANY

This fast-growing consulting firm helps organisations across the public sector, defence and commercial markets deliver measurable improvements in performance through data, AI and digital solutions. They are building a modern AI & Digital capability that sits at the front of transformation programmes, working shoulder-to-shoulder with clients on their toughest operational challenges.

THE ROLE

As a Lead Data Scientist, you will blend hands-on technical work with consulting, stakeholder management and practice-building.

• Identifying high-impact Data Science, Machine Learning, AI and simulation opportunities on client engagements
• Scoping and shaping problems, designing experiments and roadmaps, and then building and deploying models end-to-end
• Leading technical workstreams, managing small teams and ensuring projects are delivered on time and to a high standard
• Translating complex technical concepts into clear, compelling narratives for non-technical senior stakeholders
• Coaching and mentoring consultants to build their capabilities in DS/ML/AI and modern analytics

YOUR SKILLS & EXPERIENCE

• Strong background in Data Science, Machine Learning, AI, simulation or advanced analytics, with clear examples of end-to-end delivery
• Proven ability to shape, not just execute: from defining the problem and designing the solution, through to delivery and measurement of impact
• Consulting capability – comfortable running client workshops, identifying opportunities, influencing senior stakeholders and supporting pitches
• Evidence of measurable commercial or operational impact (e.g. revenue growth, cost reduction, efficiency gains, service improvement)
• Hands-on experience building models and turning prototypes into robust, production-ready solutions
• Experience leading teams or technical workstreams in a project environment
• UK citizenship (for security clearance purposes) and willingness to travel across the UK 2-3 days per week, depending on client needs

Nice-to-have experience:

• Background in a consulting environment or a high-performing in-house DS/AI team
• Exposure to sectors such as defence, public sector and consumer/retail
• Familiarity with modern data and AI tooling such as Python, Spark, Databricks, Azure cloud, and Generative AI platforms (experience with specific tools is helpful but not essential)
• A mix of technical, product and operational experience – comfortable talking both code and business outcome

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CRM Executive – Bloomreach/Braze
Hybrid – West London 2-3 days a week
Up to £35,000

This is a fantastic opportunity to join a highly respected digital and data-driven organisation working on CRM transformation for major household brands. You’ll play a key role in delivering multi‑channel campaigns, supporting large‑scale MarTech programmes, and developing your expertise within a top-tier CRM Enablement team.

The Company
They are a global digital transformation consultancy known for designing and delivering innovative, data-led marketing solutions. Operating across more than 50 markets, they help clients unlock value through strategy, technology, and flawless execution. Their MarTech teams combine cutting-edge technical capabilities with customer‑centric thinking, helping businesses accelerate growth and build stronger customer relationships.

The Role
As a CRM Executive, you will support the delivery of complex campaigns and play a key role in CRM transformation projects. Working with Bloomreach/Braze, you’ll ensure campaigns are executed accurately, insightfully, and in line with strategic customer objectives.

You will:

• Contribute to the development and execution of CRM strategies across multiple channels.
• Manage end-to-end campaign execution including briefing, build, segmentation, and analysis.
• Carry out campaign quality assurance checks to ensure flawless delivery.
• Support CRM transformation initiatives and system integrations.
• Work closely with internal teams to align CRM activity with business goals.
• Use data and analytics to identify trends, optimise performance, and improve customer engagement.
• Assist with change management and training to drive adoption of CRM tools.
• Monitor and report on CRM performance, providing actionable insights for improvement.

Your Skills & Experience
You will bring a strong foundation in CRM and digital marketing, along with hands‑on experience using Bloomreach/Braze.

You should have:

• Practical experience working with Bloomreach or Braze.
• Experience delivering multi‑channel campaigns (Email, SMS, Push).
• Strong analytical skills with the ability to interpret CRM data and campaign outcomes.
• Excellent attention to detail and a structured, logical approach.
• Strong communication skills and the ability to collaborate with a range of stakeholders.
• A solid academic background.

What They Offer

• Exposure to industry‑leading brands and complex CRM transformation programmes.
• Opportunities for progression within a growing MarTech Enablement function.
• Training, development, and the chance to deepen your expertise in Adobe Campaign and wider CRM technologies.

To Apply for this Job Click Here

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CRM Executive – Adobe Campaign
Hybrid – West London 2-3 days a week
Up to £35,000

This is a fantastic opportunity to join a highly respected digital and data-driven organisation working on CRM transformation for major household brands. You’ll play a key role in delivering multi‑channel campaigns, supporting large‑scale MarTech programmes, and developing your expertise within a top-tier CRM Enablement team.

The Company
They are a global digital transformation consultancy known for designing and delivering innovative, data-led marketing solutions. Operating across more than 50 markets, they help clients unlock value through strategy, technology, and flawless execution. Their MarTech teams combine cutting-edge technical capabilities with customer‑centric thinking, helping businesses accelerate growth and build stronger customer relationships.

The Role
As a CRM Executive, you will support the delivery of complex campaigns and play a key role in CRM transformation projects. Working with Adobe Campaign, you’ll ensure campaigns are executed accurately, insightfully, and in line with strategic customer objectives.

You will:

• Contribute to the development and execution of CRM strategies across multiple channels.
• Manage end-to-end campaign execution including briefing, build, segmentation, and analysis.
• Carry out campaign quality assurance checks to ensure flawless delivery.
• Support CRM transformation initiatives and system integrations.
• Work closely with internal teams to align CRM activity with business goals.
• Use data and analytics to identify trends, optimise performance, and improve customer engagement.
• Assist with change management and training to drive adoption of CRM tools.
• Monitor and report on CRM performance, providing actionable insights for improvement.

Your Skills & Experience
You will bring a strong foundation in CRM and digital marketing, along with hands‑on experience using Adobe Campaign.

You should have:

• Practical experience working with Adobe Campaign (or a similar CRM platform).
• Experience delivering multi‑channel campaigns (Email, SMS, Push).
• Strong analytical skills with the ability to interpret CRM data and campaign outcomes.
• Excellent attention to detail and a structured, logical approach.
• Strong communication skills and the ability to collaborate with a range of stakeholders.
• A solid academic background.

What They Offer

• Exposure to industry‑leading brands and complex CRM transformation programmes.
• Opportunities for progression within a growing MarTech Enablement function.
• Training, development, and the chance to deepen your expertise in Adobe Campaign and wider CRM technologies.

To Apply for this Job Click Here

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Revenue Manager

London | £40,000-£48,000 Competitive + Benefits

This is an exciting opportunity to take ownership of a high‑impact revenue management function in a business that is investing heavily in data, insight, and commercial strategy. If you’re motivated by leading teams, shaping strategy, and using data to drive measurable revenue outcomes, this role offers real scope to make your mark.

The Company

They are a major UK transport operator with a strong commercial focus and a commitment to using data to improve customer experience and commercial performance. Operating at significant scale, they are continuously evolving their revenue strategy, digital tools, and analytics capability.

The Role

As Revenue Manager, you will lead the end‑to‑end revenue strategy, ensuring data, insight, and forecasting translate into strong commercial results. You will:

• Set and lead revenue strategy across multiple routes, optimising revenue and occupancy.
• Own revenue targets and drive performance through best‑in‑class revenue management techniques.
• Lead, coach, and develop a high‑performing team of Revenue Analysts.
• Translate complex datasets into clear commercial insight for senior stakeholders.
• Collaborate across commercial teams to deliver joined‑up, customer‑centric commercial plans.

Your Skills & Experience

You will bring:

• Strong leadership experience within revenue management, ideally in transport or complex network environments.
• Deep understanding of yield management systems and revenue optimisation techniques.
• Proven track record of delivering commercial results through data‑driven decision‑making.
• Passion for developing people and building high‑performance teams.
• Highly analytical mindset with strong numerical and attention‑to‑detail skills.

What They Offer

• Competitive salary + comprehensive benefits package.
• Generous pension scheme.
• Enhanced travel benefits for you and your family.
• 30+ days annual leave inclusive of bank holidays, increasing with service.
• Opportunities to shape strategy, build capability, and influence key commercial outcomes.

How to Apply

If you’re ready to take on a high‑profile, commercially critical role, apply now with your CV.

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Principal Data Engineer

Location: New York City (Hybrid – 3 days onsite)
Salary: Up to $180,000 + bonus
Sponsorship: Not available

Harnham is partnering with a globally recognised design and engineering organisation to hire a Principal Data Engineer as part of a newly forming data and analytics function.

This is a genuine ground-floor opportunity to help build the organisation’s modern data platform from scratch. You’ll have ownership, influence, and long-term impact as the data foundation is established to support analytics, AI, and future decision-making at global scale.

The Role

As the Principal Data Engineer, you’ll take end-to-end ownership of building and scaling a Databricks-based data lakehouse. Working closely with analytics leadership and cross-functional teams, you’ll turn complex, messy enterprise data into a reliable, scalable platform that the business will build on for years to come.

What You’ll Be Doing

• Designing, building, and owning end-to-end data pipelines in Databricks

• Expanding a cloud data lakehouse on AWS

• Integrating data from enterprise systems (ERP, HR, CRM)

• Handling unstructured and inconsistent global data

• Establishing documentation, standards, and best practices

• Partnering with analytics, finance, and technology teams to enable future AI use cases

What We’re Looking For

• 7+ years’ experience in data engineering or cloud data roles

• Strong experience with Databricks, AWS, Snowflake

• Advanced Python and SQL

• Experience integrating enterprise systems (ERP, Salesforce, Workday, etc.)

• Proven ability to own data pipelines end to end

• Comfortable operating as an early hire in a lean environment

Why Apply?

• True Founding Data Engineer role with ownership and visibility

• Build a data platform from the ground up

• Work that directly enables analytics and AI initiatives

• Join a globally respected organisation at a pivotal growth stage

Apply via Harnham to learn more about this confidential opportunity.

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Data Scientist – Computer Vision

Location: Remote / Hybrid / On-site (flexible)

Type: Full-time

Company: Small AI Startup

About the Company

The company is a small, fast-growing AI startup building practical solutions to real-world problems using artificial intelligence and computer vision. The team works closely across disciplines, values experimentation, and focuses on delivering models that perform reliably outside of controlled environments.

The Role

The company is seeking a Data Scientist with a focus on computer vision to work on end-to-end AI solutions. This role involves taking ownership of computer vision problems from early exploration through to production deployment.

The successful candidate will play a key role in shaping both the product and the technical direction of the company, working in a hands-on, fast-paced startup environment.

Key Responsibilities

• Develop, train, and evaluate computer vision models (e.g. image and video classification, object detection, segmentation)
• Work with complex, real-world visual datasets, including data preparation and augmentation
• Experiment with and adapt modern deep learning architectures
• Collaborate closely with engineers and founders to integrate models into production systems
• Iterate quickly based on product requirements and real-world feedback
• Contribute to technical decision-making and best practices within the team

Required Skills and Experience

• Experience in data science, machine learning, or a related role with exposure to computer vision
• Strong programming skills in Python
• Hands-on experience with machine learning and computer vision frameworks (e.g. PyTorch, TensorFlow, OpenCV)
• Solid understanding of machine learning fundamentals
• Ability to work independently in an environment with evolving requirements
• Strong communication skills and the ability to explain technical concepts clearly

Desirable Experience

• Experience deploying machine learning models into production
• Familiarity with cloud platforms, containerisation, or MLOps tooling
• Experience in a startup or small team environment
• Background in video analytics, edge AI, or multi-modal models
• Evidence of practical computer vision work (projects, open-source, publications)

What the Company Offers

• A high-impact role with real ownership and influence
• Exposure to the full lifecycle of AI product development
• A collaborative, low-bureaucracy environment
• Competitive compensation and flexible working arrangements
• Strong opportunities for learning and professional growth

To Apply for this Job Click Here

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AI Engineer

Up to £100,000 + benefits
Central London (Hybrid – 2-3 days per week in office)

You will be joining this company at an exciting time, as the company is growing it’s AI capabilities from the ground up. You’ll work on impactful AI solutions used across hundreds of locations and by thousands of customers, with full ownership of projects throughout the full process. This will be a hands-on role and requires someone who wants to make a real difference in consumer lives with AI.

The Company

This well-known organisation is undergoing a large digital transformation, investing heavily in AI to improve both internal operations and customer experience. With a newly formed digital leadership team, AI sits at the heart of the company’s long-term strategy, giving you the opportunity to deliver solutions that make a measurable impact at scale.

The Role

As an AI Engineer, you will design, build, and deploy end-to-end AI solutions. You’ll work closely with senior stakeholders, owning projects from discovery through to delivery, and helping translate complex AI concepts into clear, actionable outcomes.

Specifically, you can expect to be involved in the following:

• Build AI products end‑to‑end, from prototypes to production.
• Work with teams across the business to define problems, test ideas, and measure impact.
• Prepare data and develop models using both classical ML and generative AI.
• Integrate AI into digital products through services, APIs, and safe, compliant guardrails.
• Manage model life cycle and MLOps while sharing best practices and enabling colleagues.

Skills and Experience

The successful AI Engineer will have the following skills and experience:

• Strong Python and SQL experience, ideally with Databricks
• Experience with ML and LLM tools (e.g., scikit learn, XGBoost, PyTorch, TensorFlow, RAG, APIs)
• Comfortable with data engineering basics and MLOps practices
• Experience working with cloud platforms such as Azure, AWS, or GCP

Benefits

The successful Senior AI Engineer will receive the following benefits:

• Salary up to £100,000
• Performance-related bonus
• Hybrid working model
• Comprehensive benefits package including healthcare and pension

How To Apply

Please register your interest by sending your resume to Madison Barlow via the Apply link on this page.

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Mid‑Level Data Scientist

Location: Central London

Working Pattern: 4 days in office (Mon-Thurs)

Salary: £60,000-£75,000 total comp (including bonus)

Sponsorship: Not available

About the Role

If you’re a Data Scientist who loves solving real problems, experimenting with new ideas, and seeing your work make a meaningful impact, this role is designed with you in mind.

You’ll join a supportive and collaborative data function within a global investment organisation that’s using AI, LLMs, and modern data science to enhance how investment decisions are made. The work is varied, intellectually engaging, and grounded in real‑world outcomes – a great fit for someone who enjoys developing their skills while contributing to purposeful projects.

You’ll be encouraged to explore new approaches, share ideas openly, and help shape how projects evolve over time.

What You’ll Work On

Research & Innovation

• Exploring new AI and LLM‑based use cases

• Building proofs of concept and experimenting with modern NLP and agentic frameworks

• Applying language models to complex, unstructured datasets

Production & Deployment

• Turning research into scalable, production‑ready models

• Improving and maintaining established pipelines

• Working end‑to‑end across the full data science lifecycle

Analytical Project Work

• Running short, focused projects that support investment decisions

• Using NLP and classical ML to extract insights from diverse data sources

If you enjoy moving between research, hands‑on coding, and applied problem‑solving, you’ll feel at home here.

What You Bring

Core Skills

• Strong Python (pandas, scikit‑learn, etc.)

• Solid grounding in classical data science

• Experience delivering end‑to‑end data science projects

• Familiarity with LLMs, NLP, or language‑based analysis

• Cloud experience (GCP preferred; AWS/Azure welcome)

• Good coding practices and understanding of software development principles

Nice to Have

• Transformers / Hugging Face

• Snowflake, BigQuery, or data lake experience

• Streamlit or dashboarding tools

• Exposure to finance or markets (not required)

• Interest in full‑stack development

Who You Are

• 1-3 years’ experience as a Data Scientist

• STEM degree or equivalent technical background

• Comfortable working with a balance of independence and collaboration

• Clear communicator who enjoys working with others

• Motivated by complex challenges and opportunities to learn

Why This Role Stands Out

• Competitive base salary + 10% bonus

• Work on cutting‑edge AI and LLM applications

• Variety across research, production, and analytical projects

• Opportunities to contribute to meaningful decisions and outcomes

• A culture that values curiosity, creativity, and continuous learning

Apply below!

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Senior Software Engineer, Machine Learning

$170,000-$215,000 + bonus & benefits

Remote – U.S., UK, or Canada

About the Company

• We’re a remote-first product and engineering organization building AI-powered tools that fundamentally improve how people think together, explore ideas, and make decisions. Our focus is on augmenting human creativity and collaboration – not replacing it – by embedding intelligent systems directly into real workflows used by teams every day.
• We operate at the intersection of applied machine learning, thoughtful product design, and scalable systems, with a strong emphasis on shipping production AI that delivers real value. The team is globally distributed, highly collaborative, and driven by curiosity, ownership, and impact.

About the Role

• We’re hiring a Senior Machine Learning Engineer to build intelligent systems that power creative thinking, collaboration, and decision-making at scale.
• This role sits at the intersection of applied ML, product innovation, and scalable infrastructure. You’ll design and ship production ML systems – from retrieval-augmented generation to generative features – working closely with product, design, and engineering in a high-ownership environment.

What You’ll Do

• Design, build, and productionize ML models for generative AI, fine-tuning, and RAG
• Build scalable data pipelines for training, evaluation, and continuous improvement
• Develop annotation and human-in-the-loop workflows to improve model quality
• Partner with product engineers to deliver impactful, user-facing AI features
• Collaborate with infrastructure teams on training, inference, monitoring, and deployment
• Explore new ideas and help shape the long-term AI vision

What You Bring

• 5+ years of industry experience building and shipping deep learning systems
• Strong Python skills and experience with PyTorch or TensorFlow
• Familiarity with modern ML toolchains (hosted APIs, open-source frameworks, or custom stacks)
• Experience with embedding-based systems for retrieval, ranking, or multimodal models
• Comfort mentoring others and raising the technical bar

Nice to Have

• MLOps and ML infrastructure experience (observability, CI/CD, automation)
• Experience working on creative, design, or collaboration-focused ML products

Why Join

• Build AI that amplifies human creativity rather than replacing it
• Own production ML systems used by teams every day
• High autonomy and influence in a cross-functional environment
• Remote-first culture with strong engineering and product collaboration
• Competitive compensation and meaningful growth opportunities

To Apply for this Job Click Here