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AI ENGINEER

£70,000 + BENEFITS

PRIMARILY REMOTE

Make a real-world impact in an industry that needs smarter, more sustainable solutions. Join a fast-growing SaaS company on the cutting edge of Generative AI and document intelligence.

THE COMPANY:

I’m working with tech company that’s making a real impact in ESG, supply chain risk, and sustainability. This client is looking for a hands-on AI Engineer with AI/ML tooling experience to help build and prototype LLM-powered workflows.

THE ROLE:

This client are hiring an AI Engineer to:

• Prototype and build GenAI tools for LLM-driven document reasoning
• Develop microservices and APIs (FastAPI, Kubernetes) with solid CI/CD practices
• Work on multimodal datasets: documents, images, structured content
• Collaborate cross-functionally with product and data teams
• Influence the direction of emerging AI tools

YOUR SKILLS AND EXPERIENCE:

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

• Strong Python with AI/ML exposure
• Experience with LLMs, RAG pipelines, document extraction
• Prior work with multimodal data (NLP, CV, tabular)

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

SENIOR MARKETING SCIENTIST

£50,000 – £65,000

LONDON – 3X A WEEK

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

THE COMPANY

This boutique premium performance marketing agency is a super data-driven organisation, currently going through a growth phase and are expanding its marketing science team.

THE ROLE

This client is looking for a data-driven professional with expertise in Modelling, Data Science, and Data Visualisation to join our team. The role involves developing advanced models including LTV, propensity, attribution, and MMM to support business growth and media strategies. You’ll translate complex data into actionable insights through clear, practical outputs that inform key decisions. Additionally, you’ll design impactful BI dashboards, define effective reporting strategies for stakeholders, and ensure analytics tools like GA4 and Adobe Analytics are configured to capture meaningful data.

SKILLS + EXPERIENCE

• Strong Python experience for modelling is a must
• Experience in 2 out of the 3: propensity modelling, attribution modelling and MMM (Market mix modelling)
• Ideally you will come from an agency background

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.

To Apply for this Job Click Here

To Apply for this Job Click Here

LEAD ANALYST – SUPPLY & OPERATIONS
£60,000-90,000 + BONUS + BENEFITS
LONDON – HYBRID (2 DAYS IN OFFICE)

THE COMPANY

This is a brilliant opportunity to join a purpose-led organisation with a sustainability mission at its core. This business has grown rapidly over the past two decades and operates across multiple regions, offering innovative services in e-commerce, resale, and tech solutions. They’re known for using data to power their operations, pricing, and product range – all while driving a positive environmental and social impact.

THE ROLE

As a Lead Analyst, you’ll take a hands-on and strategic role in shaping analytics across the Supply and Operations side of the business. Reporting into the Director of Analytics, you’ll manage a small team and drive key initiatives that directly impact commercial performance and operational efficiency.

In this role, you will:

• Own analytics across key business areas – leading reporting, metric development, and in-depth performance analysis
• Translate complex data into clear recommendations for senior stakeholders
• Build, validate and automate datasets for scalable reporting and insight generation
• Lead strategic analysis into inventory coverage, cost savings, and operational improvements
• Collaborate cross-functionally with Product, Tech and business teams
• Champion analytical best practices and develop the capability of the wider analytics community
• Line manage and mentor at least one analyst, with broader influence across the team

YOUR SKILLS AND EXPERIENCE

The ideal Lead Analyst will have:

• 8+ years in analytics with a strong background in supply chain, operations or e-commerce/marketplace settings
• Excellent SQL skills and experience working in cloud environments (GCP preferred)
• Proficiency in a BI tool such as Tableau, Power BI or Looker
• Experience with Python or R (Vertex AI exposure a plus)
• A strong analytical toolkit including root cause analysis, segmentation, cohort analysis, funnel optimisation, LTV forecasting, and experiment design (A/B, multivariate, incrementality)
• Solid stakeholder management and a track record of turning data into business impact
• Previous experience leading others or mentoring within a data team
• Ability to work in ambiguity and shift focus with evolving priorities

BENEFITS

In return, you’ll receive a salary between £70,000 and £90,000 depending on experience, plus a bonus and a comprehensive benefits package. You’ll work in a business that puts sustainability and innovation first, in a hybrid model with 2 days per week in a central London office.

HOW TO APPLY
Please register your interest by sending your CV to Dylan Butcher via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

RISK DATA SCIENTIST (ESG & Supply Chain)

£70,000 + BENEFITS

PRIMARILY REMOTE

Make a real-world impact in an industry that needs smarter, more sustainable solutions. This role would suit someone who enjoys end-to-end ownership, communicating with non-technical stakeholders, and building models from scratch using Python and SQL.

THE COMPANY:

I’m working with construction tech company that’s making a real impact in ESG, supply chain risk, and sustainability. This is a hands-on, high-impact role where you’d work closely with a small, collaborative product team-shaping how financial, ESG, and supply chain data is turned into actionable insights.

THE ROLE:

This client are hiring a Risk Data Scientist to take full ownership of modelling efforts across their core risk platform.

A Data Scientist (Risk) will need to:

• Take end-to-end ownership of risk modelling across financial, ESG, and supply chain data
• Design and implement models from scratch using Python and SQL
• Collaborate closely with the cross-functional product team
• Contribute to GenAI-powered reporting tools

YOUR SKILLS AND EXPERIENCE:

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

• Solid experience in risk modelling
• Strong Python and SQL skills
• A solid foundation in Statistics and ML.
• Experience with end to end product ownership

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

PRINCIPAL DATA ENGINEER

LONDON

£107,000

THE COMPANY

This consumer-tech powerhouse brings together several market-leading ecommerce brands, serving over 10 million customers across Europe. Now in an exciting phase of growth and innovation, this company is investing heavily in its data platform-giving this role a direct impact on shaping the future of how data empowers product, marketing, and operations at scale.

THE ROLE

As a Principal Data Engineer, you will play a pivotal role in designing and building a world-class, self-serve data platform. You’ll be the technical owner within your team while collaborating across the wider data and ML landscape to drive architectural best practices, data quality, and scalability.

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

• Architecting and evolving data solutions primarily within Snowflake, alongside a modern
• Driving platform-level improvements with a focus on data usability, governance, and long-term sustainability
• Implementing robust engineering and software best practices across the data lifecycle
• Collaborating with Principal ML Engineers, Product Managers, and Engineering Directors to solve high-impact business problems
• Championing data platform evolution from fragmented legacy systems to streamlined, scalable infrastructure

SKILLS AND EXPERIENCE

The successful Principal Data Engineer will have the following skills and experience:

• 7+ years in data engineering, ideally within consumer-facing tech or B2C product companies
• Deep expertise in Snowflake, with strong hands-on experience in building scalable data warehousing solutions
• Proven ability to build self-serve data platforms and high-quality data assets
• Strong architectural acumen and software engineering fundamentals
• Experience driving adoption of data governance and improving data platform usage across internal teams
• stack including:
• Snowflake
• AWS
• DBT
• Airflow
• Python
• Kinesis
• Terraform
• CI/CD tools

BENEFITS

The successful Principal Data Engineer will receive the following benefits:

• Salary up to £107,000
• Hybrid working: 2 days per week in the London office
• 25 days holiday + bank holidays
• Enhanced parental leave policies
• Private medical insurance and life assurance
• Employee discounts across ecommerce brands
• Mental health and wellbeing support
• Learning and development budget
• Pension with company match

HOW TO APPLY

Please register your interest by sending your resume/CV to Joana Alves 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

AI ENGINEER

£70,000 + BENEFITS

PRIMARILY REMOTE

Make a real-world impact in an industry that needs smarter, more sustainable solutions. Join a fast-growing SaaS company on the cutting edge of Generative AI and document intelligence.

THE COMPANY:

I’m working with tech company that’s making a real impact in ESG, supply chain risk, and sustainability. This client is looking for a hands-on AI Engineer with AI/ML tooling experience to help build and prototype LLM-powered workflows.

THE ROLE:

This client are hiring an AI Engineer to:

• Prototype and build GenAI tools for LLM-driven document reasoning
• Develop microservices and APIs (FastAPI, Kubernetes) with solid CI/CD practices
• Work on multimodal datasets: documents, images, structured content
• Collaborate cross-functionally with product and data teams
• Influence the direction of emerging AI tools

YOUR SKILLS AND EXPERIENCE:

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

• Strong Python with AI/ML exposure
• Experience with LLMs, RAG pipelines, document extraction
• Prior work with multimodal data (NLP, CV, tabular)

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

RISK DATA SCIENTIST (ESG & Supply Chain)

£70,000 + BENEFITS

PRIMARILY REMOTE

Make a real-world impact in an industry that needs smarter, more sustainable solutions. This role would suit someone who enjoys end-to-end ownership, communicating with non-technical stakeholders, and building models from scratch using Python and SQL.

THE COMPANY:

I’m working with construction tech company that’s making a real impact in ESG, supply chain risk, and sustainability. This is a hands-on, high-impact role where you’d work closely with a small, collaborative product team-shaping how financial, ESG, and supply chain data is turned into actionable insights.

THE ROLE:

This client are hiring a Risk Data Scientist to take full ownership of modelling efforts across their core risk platform.

A Data Scientist (Risk) will need to:

• Take end-to-end ownership of risk modelling across financial, ESG, and supply chain data
• Design and implement models from scratch using Python and SQL
• Collaborate closely with the cross-functional product team
• Contribute to GenAI-powered reporting tools

YOUR SKILLS AND EXPERIENCE:

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

• Solid experience in risk modelling
• Strong Python and SQL skills
• A solid foundation in Statistics and ML.
• Experience with end to end product ownership

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 (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

AI ENGINEER

£70,000 + BENEFITS

PRIMARILY REMOTE

Make a real-world impact in an industry that needs smarter, more sustainable solutions. Join a fast-growing SaaS company on the cutting edge of Generative AI and document intelligence.

THE COMPANY:

I’m working with tech company that’s making a real impact in ESG, supply chain risk, and sustainability. This client is looking for a hands-on AI Engineer with AI/ML tooling experience to help build and prototype LLM-powered workflows.

THE ROLE:

This client are hiring an AI Engineer to:

• Prototype and build GenAI tools for LLM-driven document reasoning
• Develop microservices and APIs (FastAPI, Kubernetes) with solid CI/CD practices
• Work on multimodal datasets: documents, images, structured content
• Collaborate cross-functionally with product and data teams
• Influence the direction of emerging AI tools

YOUR SKILLS AND EXPERIENCE:

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

• Strong Python with AI/ML exposure
• Experience with LLMs, RAG pipelines, document extraction
• Prior work with multimodal data (NLP, CV, tabular)

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

RISK DATA SCIENTIST (ESG & Supply Chain)

£70,000 + BENEFITS

PRIMARILY REMOTE

Make a real-world impact in an industry that needs smarter, more sustainable solutions. This role would suit someone who enjoys end-to-end ownership, communicating with non-technical stakeholders, and building models from scratch using Python and SQL.

THE COMPANY:

I’m working with construction tech company that’s making a real impact in ESG, supply chain risk, and sustainability. This is a hands-on, high-impact role where you’d work closely with a small, collaborative product team-shaping how financial, ESG, and supply chain data is turned into actionable insights.

THE ROLE:

This client are hiring a Risk Data Scientist to take full ownership of modelling efforts across their core risk platform.

A Data Scientist (Risk) will need to:

• Take end-to-end ownership of risk modelling across financial, ESG, and supply chain data
• Design and implement models from scratch using Python and SQL
• Collaborate closely with the cross-functional product team
• Contribute to GenAI-powered reporting tools

YOUR SKILLS AND EXPERIENCE:

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

• Solid experience in risk modelling
• Strong Python and SQL skills
• A solid foundation in Statistics and ML.
• Experience with end to end product ownership

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