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Data Engineer

Location: UK Remote

Salary: £65,000 – £70,000

This is an opportunity to be the first Data Engineer in a newly evolving data function, joining a high-growth, VC-backed digital platform at a pivotal point in its data transformation. You will take ownership of a modern cloud-based data stack and play a central role in turning fragmented data into clear, trusted insight that supports commercial decision-making.

The Company

They are a fast-growing online marketplace business operating in the education space, connecting customers and independent service providers through a two-sided platform. With rapid growth and increasing data complexity, the business is investing heavily in its data capability to better understand customer acquisition, user journeys, and overall performance. The data function is still maturing, offering a rare chance to shape foundations rather than inherit rigid processes.

The Role

You will take ownership of the end‑to‑end data platform, enhancing it in line with a recent architecture review while building and maintaining reliable ELT pipelines in a cloud data warehouse. The role involves designing clean, analytics‑ready data models that enable reporting, self‑serve insights, and strategic decision‑making.

Working closely with analytics and commercial teams, you’ll translate business needs into scalable data solutions, improve data quality and governance, and ensure a single trusted view of performance, all supported by experienced DevOps and engineering teams.

Your Skills and Experience

• Strong hands-on experience as a Data Engineer working with modern cloud data platforms, ideally within GCP.
• Proven capability in data modelling and transformation using tools such as dbt.
• Experience building and maintaining production data pipelines using tools like Fivetran or similar.
• Confidence working with infrastructure as code, particularly Terraform.
• Comfortable operating in less structured, fast-growing environments and taking ownership.
• Able to communicate effectively with both technical and non-technical stakeholders.

What They Offer

• Fully remote working across the UK, with infrequent travel to the North of England, expenses covered.
• The chance to shape a data platform from the ground up and have clear visibility and impact across the business.
• Long-term progression as the data team continues to grow and mature.

How to Apply

Apply now to find out more about this Data Engineer opportunity and how it could fit with your next career move.

To Apply for this Job Click Here

To Apply for this Job Click Here

Digital Analyst
Leeds (Hybrid – 2x Days a Week in Office)
£35,000-£40,000

THE COMPANY

This is an opportunity to join a fast-growing data function within a global marketing and media group! Acting as the central data hub across a collective of agencies, the team delivers high-impact analytics and measurement solutions to some of the world’s biggest brands; you’ll be part of a small, highly collaborative team with strong visibility across the business, working closely with senior stakeholders and gaining exposure to a wide range of clients and marketing channels.

THE ROLE

This role is ideal for someone with a background in digital or marketing analytics who wants to deepen their technical skillset while maintaining a strong focus on insight delivery. You’ll sit at the intersection of analytics, tracking, and performance, supporting global clients with high-quality data and actionable insight.

Key responsibilities:

• Analyse website and campaign performance using GA4
• Build and optimise dashboards in Looker Studio for client reporting
• Implement and maintain tracking via Google Tag Manager (events, pixels, troubleshooting)
• Support analytics audits and ensure data quality best practices
• Monitor digital and paid media performance to identify trends and opportunities
• Present insights to internal stakeholders across multiple agency teams

YOUR SKILLS AND EXPERIENCE

• Hands-on experience with GA4
• Strong working knowledge of Google Tag Manager (event tracking, implementation)
• Experience building dashboards in Looker Studio (or similar tools)
• Background in a digital, media, or performance marketing environment
• Strong communication skills – confident presenting insights to stakeholders
• Proactive mindset with a desire to learn and develop

Nice to have:

• Understanding of paid media metrics (PPC, paid social, display)
• Exposure to wider MarTech or analytics too

THE BENEFITS

• £35,000-£40,000

HOW TO APPLY

Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Digital Analyst
London (Hybrid – 2x Days a Week in Office)
£35,000-£40,000

THE COMPANY

This is an opportunity to join a fast-growing data function within a global marketing and media group! Acting as the central data hub across a collective of agencies, the team delivers high-impact analytics and measurement solutions to some of the world’s biggest brands; you’ll be part of a small, highly collaborative team with strong visibility across the business, working closely with senior stakeholders and gaining exposure to a wide range of clients and marketing channels.

THE ROLE

This role is ideal for someone with a background in digital or marketing analytics who wants to deepen their technical skillset while maintaining a strong focus on insight delivery. You’ll sit at the intersection of analytics, tracking, and performance, supporting global clients with high-quality data and actionable insight.

Key responsibilities:

• Analyse website and campaign performance using GA4
• Build and optimise dashboards in Looker Studio for client reporting
• Implement and maintain tracking via Google Tag Manager (events, pixels, troubleshooting)
• Support analytics audits and ensure data quality best practices
• Monitor digital and paid media performance to identify trends and opportunities
• Present insights to internal stakeholders across multiple agency teams

YOUR SKILLS AND EXPERIENCE

• Hands-on experience with GA4
• Strong working knowledge of Google Tag Manager (event tracking, implementation)
• Experience building dashboards in Looker Studio (or similar tools)
• Background in a digital, media, or performance marketing environment
• Strong communication skills – confident presenting insights to stakeholders
• Proactive mindset with a desire to learn and develop

Nice to have:

• Understanding of paid media metrics (PPC, paid social, display)
• Exposure to wider MarTech or analytics too

THE BENEFITS

• £35,000-£40,000

HOW TO APPLY

Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Scientist – Computer Vision & Object Detection

Location: Amsterdam

Type: Full-time

About Us

This company are a fast-growing, small and agile technology company building intelligent vision-based solutions that solve real-world problems. Our team moves quickly, takes ownership, and works collaboratively to turn ideas into production-ready products.

They are looking for a Data Scientist with strong Computer Vision expertise to join our team and take ownership of end-to-end object detection systems – from data collection and model development to deployment and optimisation in production.

The Role

As a Data Scientist (Computer Vision), you will be responsible for designing, building, and deploying object detection models in real-world environments. You will work across the full pipeline: data engineering, model training, evaluation, optimisation, and production integration.

This is a hands-on role in a small company, so you will have significant ownership and impact.

Key Responsibilities

• Develop, train, and optimise object detection models using Python and PyTorch
• Design and implement end-to-end computer vision pipelines
• Work with image/video datasets: collection, cleaning, annotation, augmentation
• Experiment with state-of-the-art detection architectures (e.g., YOLO, Faster R-CNN, Transformer-based models)
• Deploy models into production environments (edge, cloud, or hybrid)
• Optimise models for performance, latency, and scalability
• Collaborate closely with engineering and product teams
• Continuously research and evaluate new approaches in computer vision

Required Experience

• Strong experience in end-to-end computer vision systems
• Proven hands-on experience building and deploying object detection models
• Advanced proficiency in Python
• Strong experience with PyTorch
• Experience with model training, evaluation metrics (mAP, precision/recall, IoU)
• Experience handling real-world datasets (annotation tools, augmentation strategies)
• Understanding of model optimisation and performance tuning
• Experience deploying ML models to production

Nice to Have

• Experience with edge deployment (TensorRT, ONNX, quantisation)
• Familiarity with MLOps practices
• Experience with video analytics
• Experience working in a startup or small-company environment

What We’re Looking For

• Someone comfortable owning projects end-to-end
• A practical problem-solver who can ship working solutions
• Comfortable working in a small, fast-moving team
• Strong communication skills

What We Offer

• High ownership and impact
• Flexible working environment
• Opportunity to shape technical direction
• Competitive salary and equity options (if applicable)

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff Data Scientist (Product)

Location: Remote

Salary: $190-220k

We’re partnering with a fast-growing SaaS company to find a Staff Data Scientist for a senior, high-visibility role embedded in their product organization. This is for someone who combines deep statistical expertise with the ability to influence how an entire company makes decisions – not just someone who runs experiments, but someone who builds the culture and infrastructure around them.

What You’ll Be Doing

• Owning and advancing the company’s experimentation roadmap, focused on high-leverage product questions around customer workflows, churn risk, and long-term value
• Designing and analyzing complex A/B tests, multivariate experiments, and Bayesian methods to measure the real impact of product changes
• Applying causal inference techniques (DiD, synthetic control, propensity score matching, instrumental variables) where traditional RCTs aren’t feasible
• Building and governing a unified KPI framework that connects product health metrics to meaningful business outcomes
• Partnering with Data Engineering to build scalable, self-serve experimentation tooling and reusable analytical frameworks
• Translating complex statistical findings into clear, compelling narratives for VP and C-suite audiences
• Mentoring and training junior and mid-level data scientists on experimental design and causal modeling

What We’re Looking For

This is a senior individual contributor role reporting to the Director of Product Data, acting as a strategic thought partner across Product, Engineering, Finance, Design, and Product Marketing. The company is at an inflection point in how it uses data to make product decisions, and this person will be central to shaping that.

Essential:

• 6+ years in applied data science, economics, or product analytics
• Proven expertise in causal inference: DiD, PSM, instrumental variables, quasi-experimentation
• Deep experience in A/B testing methodology including sequential testing, CUPED, variance reduction, and network effects
• Advanced SQL and Python or R for statistical modeling
• Experience with Snowflake or similar cloud data warehouses
• Exceptional communication skills, comfortable presenting to and influencing C-suite stakeholders
• Demonstrated ability to drive change in organizations where experimentation culture is still developing

Nice to have:

• Experience with dbt, Airflow, or Databricks
• Background in SaaS and product data science

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff GTM Data Scientist

Location: Remote

Salary: $190-220k base

We’re partnering with a fast-growing SaaS company to find a Staff Data Scientist for a senior, high-visibility role sitting at the heart of their product and go-to-market strategy. This isn’t a reporting role or a dashboard-builder position. It’s for someone who can drive a genuine shift toward data-driven decision making across the organization, and who has the technical depth and communication skills to bring leadership along with them.

What You’ll Be Doing

• Owning and advancing the company’s experimentation roadmap, focusing on high-leverage questions around customer workflows, churn risk, and long-term value
• Designing and analyzing complex A/B tests, multivariate experiments, and Bayesian methods to assess the real impact of product and business changes
• Applying causal inference techniques (DiD, synthetic control, propensity score matching, instrumental variables) where traditional RCTs aren’t feasible
• Building and governing a unified KPI framework that connects product health metrics to business outcomes
• Partnering with Data Engineering to build scalable, self-serve experimentation tooling and reusable analytical frameworks
• Translating complex statistical findings into clear, compelling narratives for VP and C-suite audiences
• Mentoring and training junior and mid-level data scientists on experimental design and causal modeling

What We’re Looking For

This is a senior individual contributor role reporting to the Director of GTM Data, acting as a strategic thought partner across Product, Marketing, Finance, and Engineering. The company is at an inflection point in how it uses data, and this person will be central to shaping that.

Essential:

• 6+ years in applied data science, economics, or product analytics
• Proven expertise in causal inference: DiD, PSM, instrumental variables, quasi-experimentation
• Deep experience in A/B testing methodology including sequential testing, CUPED, variance reduction, and network effects
• Advanced SQL and Python or R for statistical modeling
• Experience with Snowflake or similar cloud data warehouses
• Exceptional communication skills, comfortable presenting to and influencing C-suite stakeholders
• Demonstrated ability to drive change in organizations where experimentation culture is still maturing

Nice to have:

• Experience with dbt, Airflow, or Databricks
• Background in SaaS and product data science

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Analytics Engineer

Location: Remote

Salary: $150-170k base

We’re partnering exclusively with a fast-growing SaaS company to find a Senior Analytics Engineer to join their data team. This is a high-impact, high-autonomy role sitting at the intersection of data engineering and analytics, perfect for someone who takes pride in building data foundations that the whole business relies on.

What You’ll Be Doing

• Designing and building dimensional data models in Snowflake that underpin analytics across the business
• Developing and optimising dbt models to turn raw source data into clean, trusted datasets
• Partnering with analysts and business stakeholders to translate their needs into scalable data solutions
• Implementing data quality checks and owning the reliability of analytics datasets
• Contributing to data governance including PII handling, metadata management, and documentation
• Supporting strategic analytics across customer journeys, revenue metrics, and product usage
• Mentoring junior team members and championing best practices

What We’re Looking For

The company runs a best-in-class modern data stack built around Snowflake, dbt, and Monte Carlo, with data flowing in from Salesforce, HubSpot, Recurly, and core product databases. The team is evolving toward an AI-enabled, domain-oriented data organisation, so there’s real scope to shape the architecture, not just maintain it.

Essential:

• 5+ years in analytics engineering, data engineering, or a similar data-focused role
• Expert-level SQL: complex queries, CTEs, window functions
• Strong hands-on dbt experience
• Snowflake (or equivalent cloud warehouse: BigQuery, Redshift)
• Solid understanding of dimensional modelling and data warehouse design patterns
• Experience with SaaS metrics: MRR, churn, CLV etc.
• Python for data work or automation
• Familiarity with data orchestration tools (Airflow / MWAA)
• Comfortable working remotely and cross-functionally with distributed teams

Nice to have:

• Experience with reverse ETL tools such as Hightouch
• Exposure to BI tools (Hex preferred)
• Understanding of data mesh or domain-oriented architecture concepts

To Apply for this Job Click Here