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Data Engineer

Salary: £83,000

Location: London (3 Days in Office)

Shape the future of data-driven decision-making by transforming raw information into trusted, insight-ready assets. Join a team where analytics engineering fuels innovation, intelligence, and impact across the business.

The Opportunity

This is an exciting opportunity to help shape the foundation of a modern, data-enabled organisation. You’ll design and build scalable analytics models and pipelines that transform raw data into trusted insights, powering smarter decisions across every level of the business.

Working at the intersection of data engineering and analytics, you’ll bring structure, governance, and innovation to complex data ecosystems. The role offers the chance to influence how data drives strategy, automation, and AI adoption. It’s a perfect fit for someone who’s passionate about clean design, collaboration, and the pursuit of data excellence.

Role and Responsibility

In this role, you’ll develop and maintain robust data models and transformation pipelines using Databricks, Azure, and Power BI to turn complex datasets into reliable, insight-ready assets. You’ll apply strong skills in SQL, Python, and PySpark to build efficient ELT workflows and ensure data quality, performance, and governance. Collaboration will be key as you partner with analysts and business teams to align data models with reporting, AI, and automation needs.

You’ll also contribute to the adoption of CI/CD, version control, and metadata-driven practices that enhance scalability and trust in analytics outputs. This is a hands-on role where technical precision and design thinking come together to enable a data-first culture.

Interview Process

1. Introductory Chat
2. Technical and Stakeholder Conversation with Senior Team

Apply now to help shape the future of data-driven decision-making and make your mark in a truly analytics-led environment.

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Lead Data Scientist – Leicester

We are working with a leading UK retailer and ecommerce company. The role focuses on marketing campaigns, recommendation systems and customer segmentation.

You will be a technical lead within the business and work closely with teams to drive measurable impact through various models.

They’re looking for someone with:

• Strong experience in Python & SQL – this will be tested in the interview
• Experience working across MMMs, Attribution, Churn, Propensity or LTV models
• Neural networks or Transformers

The position is hybrid, based in the Midlands, offering flexible working, competitive pay, and excellent benefits.

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To Apply for this Job Click Here

Lead Data Scientist (3 days onsite) – Travel Required

Join a forward-thinking consultancy that’s been redefining the industry for over a decade. Operating across sectors such as Defence, Retail, Government, and Healthcare, the firm delivers cutting-edge Data Science and Machine Learning solutions that drive measurable transformation. By blending strategic insight with deep technical expertise, they empower organizations to turn ambitious ideas into meaningful, data-driven impact.

What You’ll Do

• Lead the end-to-end delivery of data science and machine learning projects, from discovery to deployment.
• Shape and execute data science strategies that directly support client objectives and organizational growth.
• Design and implement custom algorithms and models to solve complex business challenges and generate tangible value.
• Stay ahead of the curve in AI and ML innovation, identifying opportunities to integrate emerging technologies into client solutions.
• Partner with business development teams to support proposals, present solutions, and uncover new consulting opportunities.

Please note, this role will require travel across the UK to client site

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead Data Scientist (3 days onsite) – Travel Required

Join a forward-thinking consultancy that’s been redefining the industry for over a decade. Operating across sectors such as Defence, Retail, Government, and Healthcare, the firm delivers cutting-edge Data Science and Machine Learning solutions that drive measurable transformation. By blending strategic insight with deep technical expertise, they empower organizations to turn ambitious ideas into meaningful, data-driven impact.

What You’ll Do

• Lead the end-to-end delivery of data science and machine learning projects, from discovery to deployment.
• Shape and execute data science strategies that directly support client objectives and organizational growth.
• Design and implement custom algorithms and models to solve complex business challenges and generate tangible value.
• Stay ahead of the curve in AI and ML innovation, identifying opportunities to integrate emerging technologies into client solutions.
• Partner with business development teams to support proposals, present solutions, and uncover new consulting opportunities.

Please note, this role will require travel across the UK to client site

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Scientist / AI Engineer

Nottingham-based (2 days a week)

£60K

We are working with a AI start up who transform leading research into AI technologies, solving meaningful problems for clients in the retail and healthcare sectors.

What We Do

Retail: Promotions, pricing, and forecasting – building scalable AI systems to automate and optimise decision-making.

Healthcare: Research-driven AI projects with open problem spaces – early-stage innovation and experimentation.

We’ve built AI systems for retail clients and are now focusing on making these solutions repeatable and deployable across industries.

Essential Skills

• Strong programming skills in Python
• Solid understanding of SQL and data manipulation
• Background in Mathematics, Statistics, or Computer Science (MSc or PhD preferred)
• Experience building or deploying machine learning models
• Ability to work in a fast-paced, collaborative startup environment

To Apply for this Job Click Here

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Digital Marketing Analyst
London (Hybrid)
£35,000-£40,000

THE COMPANY

Join an award-winning data intelligence consultancy that sits within a global marketing group, helping some of the world’s biggest brands turn marketing data into real business impact; you’ll be part of a small, collaborative analytics team working across exciting clients in finance, telecoms, and more!

THE ROLE

This is a great step up for someone currently doing channel-level reporting or performance marketing analytics who wants to move into a broader, more strategic role. You’ll be turning marketing and performance data into insight, not just dashboards. Day-to-day, you’ll:

• Analyse data from GA4, Adobe Analytics, Google Ads, DV360, and social platforms
• Build and deliver marketing performance dashboards in Power BI / Looker / Excel
• Present insights and recommendations back to clients
• Partner with account and media teams to improve marketing effectiveness

YOUR SKILLS AND EXPERIENCE

• Experience in marketing or digital analytics, ideally in an agency or a consultancy
• Data visualisation skills (Power BI, Looker, Excel)
• Confident communicator – able to talk clients through insights

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 Product Manager

Fully Remote (In The UK)

£90,000-£100,000

The Company

A market-leading, AI-driven search intelligence platform focused on helping enterprise brands and agencies reduce paid search costs, protect brand equity, and stay ahead of competitor movements is seeking a Data Product Manager! Their patented technology delivers transparency and actionable insights to marketing teams that operate in the largely blind world of paid search auctions; trusted by hundreds of global brands, they’ve built a business where data science meets marketing performance, delivering intelligent, automated insights that transform how customers approach search!

The Role

This is a strategic and highly technical Data Product Manager role, sitting within the Product team and reporting directly to the Product Lead. You’ll drive the evolution of the company’s data platform and machine learning ecosystem, which underpins its core search intelligence products. You’ll manage the roadmap for data integrity, quality, and scalability, working closely with Data Engineering and Data Science teams to ensure the underlying data models and pipelines deliver reliable, actionable insights for customers.

Key Focus Areas:

• Own and evolve the data platform roadmap, ensuring alignment with business goals
• Oversee the performance, quality, and cost-efficiency of large-scale data workflows
• Partner with engineers and data scientists to improve ML model performance and predictive accuracy
• Ensure high-quality data powering AI-driven search and GenAI initiatives
• Manage complex, distributed data systems (Spark, Cassandra, Redshift)
• Collaborate across Product, Engineering, and Commercial teams to turn technical data insights into business value

Your Skills & Experience

You’ll come from a technical background, with prior experience working as a Data Scientist or in Product Analytics, and having now transitioned into product management. You’re comfortable operating at scale in data-heavy or AI/ML-driven environments, and you know how to talk to engineers as peers; you’re hands-on, collaborative, and able to own initiatives from discovery through delivery. You care about data quality, cost, and performance; not just delivery.

You’ll Bring:

• Extensive experience in data-focused product management
• Strong foundation in data systems, pipelines, and architecture
• Proven experience owning and delivering a data product roadmap
• Proficiency in Python and SQL (comfortable reading/writing code even if not executing daily)
• Experience working closely with data engineering and data science teams
• Excellent communication skills, able to translate technical concepts for non-technical audiences
• Start-up/scale-up experience preferrable (not essential)

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

RESEARCH DIRECTOR (QUANTITATIVE)
UP TO £80,000
HYBRID – LONDON (4 DAYS PER WEEK)

Please note, you must be a UK resident and citizen to apply.

THE COMPANY

This fast-growing creative consumer consultancy partners with major brands to help them uncover possibilities and bring bold ideas to life. Blending quantitative and qualitative research with strategic and creative thinking, the business delivers high-impact insight that inspires smarter decisions and stronger brands. Having seen significant growth in its quantitative offer, the consultancy now works with leading names across FMCG, travel, media, and consumer goods, helping them challenge convention and make confident commercial moves. With a small, senior-led team and a culture that values curiosity, collaboration, and creativity, this is an opportunity to join a business that’s defining what modern research looks like.

THE ROLE

As a Senior Quantitative Insight Consultant, you’ll play a pivotal role in delivering strategic, data-driven insight to clients while shaping the continued growth of the consultancy’s quantitative capability.

In this hands-on and varied role, you will:

• Lead and deliver fast-turnaround quantitative projects from design to debrief.
• Analyse data using tools such as Q (or similar) to generate clear, commercial insights.
• Translate numbers into stories – engaging senior stakeholders with strategic recommendations.
• Design and write compelling proposals, contributing to new business growth.
• Work across brand tracking, segmentation, innovation testing, pricing, and comms evaluation.
• Collaborate with senior colleagues to evolve ways of working, mentor others, and improve processes.

Approximate time split:

• 60% project delivery and analysis
• 20% business development (proposals, pitches, client growth)
• 20% collaboration, mentoring and operational improvement

YOUR SKILLS AND EXPERIENCE

You’ll bring:

• Proven experience running end-to-end quantitative research projects.
• Strong client management and presentation skills, with confidence at senior levels.
• Excellent storytelling and proposal writing ability.
• Proficiency with Q or similar analysis tools (e.g., SPSS, R, Excel-based).
• Ability to balance tactical and strategic work in a fast-moving environment.
• Commercial awareness and a proactive, hands-on approach.

It’s a bonus if you have:

• Experience in qualitative research or facilitation.
• Interest in behavioural science or consumer psychology.
• Experience with advanced analytics (e.g. regression, conjoint, max-diff).
• Exposure to AI tools, simulators, or forecasting models.
• Strong creative instincts – in writing, design, or storytelling.

BENEFITS

• Opportunity to shape and grow the quantitative offer in a thriving consultancy.
• Work with blue-chip and high-profile clients across categories.
• End-to-end ownership of projects and client relationships.
• Collaborative, senior-led culture that values curiosity and creativity.

To Apply for this Job Click Here

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SENIOR SOFTWARE ENGINEER – CLOUD & DEVOPS

$160k-$175k BASE + 10-15% BONUS

REMOTE – HIRING ONLY IN GA, AL, NY, CO & FL

Are you a hands-on software engineer who thrives at the intersection of data, infrastructure, and analytics? This role offers the opportunity to shape internal technology products that power investment decisions for a leading U.S. private equity platform.

THE COMPANY

This private equity firm manages tens of billions in assets and invests in consumer and business-service brands across sectors like food, retail, health & wellness, and education. They take a data-driven approach to identifying and scaling high-growth opportunities – and the software engineering team is central to that mission.

THE ROLE

As a Senior Software Engineer, you’ll help architect and build internal tools and platforms that enable data-driven insights across portfolio companies. This is a highly visible role partnering with data scientists, strategy leads, and investment teams to develop scalable solutions supporting acquisitions, portfolio analytics, and due diligence.

You’ll own projects end-to-end – from coding and infrastructure management to deployment and optimization – while mentoring junior engineers and influencing technical direction.

Key Responsibilities:

• Design, develop, and deploy data-driven applications and internal web tools.
• Manage cloud infrastructure, deployment pipelines, and production environments.
• Collaborate with data science and strategy teams to deliver scalable, maintainable systems.
• Drive best practices across CI/CD, security, and observability.
• Mentor junior engineers and contribute to team growth and technical standards.

YOUR SKILLS AND EXPERIENCE

The ideal candidate will have:

• 5-8+ years of professional software engineering experience.
• Strong proficiency in Python (core language across all systems).
• Experience with GCP (preferred), AWS, or Azure.
• Hands-on experience with Kubernetes for deployment and orchestration.
• Working knowledge of SQL and database administration.
• Some exposure to JavaScript
• Background in data infrastructure, ETL, or analytics-heavy systems.
• Proven ownership of infrastructure – from local dev to production deployment.