DATA & AI
STAFFING WASHINGTON DC

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Insight Analyst

Leicester (Hybrid)

£45,000-£50,000

THE COMPANY

This is an opportunity to join a major UK retail organisation undergoing a significant transformation of its finance data landscape; sitting within a high-impact Finance Analytics function, you’ll work on modernising data infrastructure and delivering insight across core operational areas. You’ll be part of a collaborative team working closely with both Finance and Analytics, helping to shape how data is structured, accessed, and used across the business.

THE ROLE

This is a hands-on Insight Analyst role with a strong focus on data modelling, SQL, and analytics engineering principles. You’ll act as a key builder of analytical datasets, working within a modern data stack (including Databricks) to deliver clean, reliable data for reporting and insight generation. Alongside this, you’ll support finance teams by analysing trends, identifying opportunities, and helping stakeholders make better decisions.

Key Responsibilities:

• Design and develop robust data models using Databricks (Medallion Architecture)
• Write and optimise complex SQL queries for data extraction, transformation, and validation
• Build and maintain Power BI dashboards to support finance reporting
• Use Python (Pandas/Numpy) for deeper analysis, automation, and data profiling
• Partner with stakeholders across:
• Accounts Payable
• Cash Accounting
• Commercial Services
• Operations / Stock
• Translate business requirements into analytical outputs and actionable insights
• Implement data quality checks to ensure accuracy and reliability
• Support the move toward self-service analytics and improved data literacy

YOUR SKILLS & EXPERIENCE

• Strong SQL skills
• Python (Pandas) experience
• Databricks (preferable, not essential)
• Strong stakeholder engagement and communication skills
• Comfortable working in a fast-paced, evolving environment

THE BENEFITS

• £45,000-£50,000

HOW TO APPLY

Please register your interest by sending your CV to Adam Osborne at Harnham via the apply link

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Senior Marketing Analyst

£70,000-£90,000

London (Hybrid – 4x Days a Week in office, White City)

THE COMPANY

This is an opportunity to join a global marketing and data powerhouse operating at the intersection of data, technology, and advertising, part of a wider international group; they help major brands understand their customers, optimise digital media, and ultimately drive real commercial impact (not just clicks). Think sophisticated audience targeting, campaign personalisation, and deep measurement across online behaviour. Their analytics team is growing (5 → 8), led by a highly respected Analytics Director, with strong exposure to senior leadership and clients across retail and food delivery.

THE ROLE

This is a senior, client-facing analytics role with a strong focus on measurement, effectiveness, and commercial impact. You’ll act as a trusted analytics voice in client conversations, particularly around Marketing Mix Modelling (MMM) and econometrics

Key responsibilities include:

• Leading analytics across multiple client accounts and campaigns
• Interpreting campaign performance and identifying actionable insights
• Working with large behavioural and transactional datasets
• Advising clients on measurement approaches and campaign effectiveness
• Engaging with external MMM providers: challenging assumptions, understanding limitations, and influencing decisions
• Supporting broader analytics strategy across a network of agencies

This is a hands-on role with strategic exposure; ideal for someone who enjoys both deep analysis and stakeholder engagement.

YOUR SKILLS AND EXPERIENCE

• Extensive experience in marketing analytics
• Strong understanding of MMM / econometrics principles (hands-on or closely involved)
• Ability to confidently engage with clients and explain complex ideas clearly

THE BENEFITS

• £70,000-£90,000

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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Head of Research
£80,000-£100,000
Nottinghamshire (Hybrid – 3x Days a Week in Office)

This is a rare opportunity to take ownership of a qualitative insight function within a large, established brand communications business, moving into a senior leadership role with real scope: leading a team, shaping capability, and working on globally recognised brands, all within a unique environment that blends insight, creativity, and strategy!

THE COMPANY

You’ll join an in-house agency which operates as a collection of specialist teams, delivering integrated work for major clients, including some key flagship relationships which you will be a part of from day 1. The business have long-standing client partnerships and a strong reputation but are now investing in building their external profile and strengthening their insight offering (which is where you come in!)

THE ROLE

This is a Head of Qual-level position, responsible for leading and growing the qualitative research capability.

You will:
* Lead, develop, and expand the Qual team (currently 3, with plans to grow)
* Own and evolve the qualitative research offering
* Deliver high-quality qual work, remaining hands-on where needed
* Partner with Account Directors on key client relationships
* Play a central role across major global accounts
* Introduce new methodologies and innovative approaches
* Contribute to new business and capability positioning
* Work within a matrix structure across insight, creative, and client teams

YOUR SKILLS AND EXPERIENCE

• Strong qualitative research background
• Strong client-facing skills
• Experience working with large, global brands
• Proven team leadership or practice-building experience
• Deep expertise across qualitative methodologies
• Commercial awareness and client-facing confidence
• A credible, senior presence: you are someone able to lead from day one

THE BENEFITS

• £80,000-£100,000

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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Growth Director
Leeds (Hybrid – 3x Days a Week)
£140,000-£160,000 + Bonus (up to 20%)

The Company

A major UK media and digital business is looking for a Growth Director to take full ownership of a high-profile subscription proposition and drive the next phase of commercial and audience growth; this is a senior, cross-functional leadership role with end-to-end accountability for scaling recurring revenue, optimising the customer lifecycle and embedding a more commercially-driven growth culture across the organisation. In this role you will operate as the commercial owner of a core direct-to-consumer product, leading growth strategy across acquisition, conversion, retention and monetisation. This role sits at the intersection of product, marketing, content, commercial and technology, bringing together multiple business units and squads to deliver sustainable growth.

The Role

• Own and deliver the overarching growth strategy for a large-scale digital subscription product
• Drive recurring revenue growth through pricing, packaging, paywall strategy and proposition development
• Lead cross-functional squads across product, marketing, tech, content and commercial teams
• Optimise the full customer lifecycle: acquisition, engagement, retention and churn reduction
• Build and refine subscription models, commercial forecasts and revenue strategies
• Introduce experimentation, testing and data-led optimisation across the proposition
• Partner with senior stakeholders and exec leadership to embed a commercially-driven growth mindset
• Identify new market opportunities, partnerships and product enhancements to unlock scale
• Use data and insight to inform strategic decisions and measure growth performance

This is a highly visible role supporting multiple business areas, with real ownership and influence over how growth is delivered across the organisation.

Your Skills & Experience

• Proven experience leading growth for a subscription or recurring-revenue digital product
• Strong commercial acumen with ownership of revenue, pricing or monetisation strategy
• Track record of driving growth across acquisition, retention and lifecycle optimisation
• Experience working cross-functionally across product, marketing, tech and commercial teams
• Strong stakeholder engagement skills, with a proven and demonstrable ability to influence at executive level
• Data-driven mindset with experience using experimentation and insight to drive decisions
• Digital marketing and D2C growth experience highly beneficial
• Broad, generalist growth leadership background across multiple business units or squads

The Benefits

• £140,000-£160,000
• Bonus – 20% (up to)
• Senior leadership influence across a major digital platform
• High-impact role owning a flagship growth proposition

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

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Senior Product Manager
London, Hybrid
Salary up to £90,000

This is a genuinely exciting opportunity to join a growing, high impact business at a pivotal stage in its product journey. They have built a strong platform foundation and are now focused on accelerating product velocity, embedding AI into real workflows, and delivering meaningful value to users. You will sit at the centre of how the organisation operates, with clear ownership, autonomy, and visibility across the business.

The Company
They are a fast growing, specialist business operating at the intersection of technology, data, and professional services. Their platform supports senior decision makers and client teams by enabling smarter connections, better insights, and more effective workflows. With continued international growth and investment in product, data, and engineering, they are building a world class product function to support their next phase of scale.

The Role

• Own the end to end product process for a core internal and client facing platform
• Set and drive the product roadmap, balancing new feature development, optimisation, and platform quality
• Translate business and user needs into clear product requirements and delivery priorities
• Lead discovery in ambiguous problem spaces and turn insights into testable solutions
• Prototype quickly to validate ideas and accelerate learning
• Work closely with engineering and data teams to deliver high quality, scalable solutions
• Partner with client facing teams to ensure product decisions drive real commercial and operational impact
• Embed AI capabilities into everyday workflows in a pragmatic, user focused way

Your Skills & Experience

• Strong commercial experience operating as a hands on Product Manager in a lean environment
• Proven ability to own prioritisation and execution end to end
• Confidence leading discovery, problem framing, and validation with users
• Experience working closely with engineering and data teams on complex platforms
• Strong understanding of AI enabled product development and how to apply it responsibly and effectively
• Clear, confident communicator who can engage senior stakeholders and challenge priorities constructively
• Highly organised, delivery focused, and comfortable managing multiple streams of work

How to Apply
If you are a Product Manager looking to take ownership of a high impact platform and play a key role in shaping its future, apply now to find out more.

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Senior Data Engineer

Location: Chicago, IL (Hybrid)

Pay: $120k – $140k base + bonus

About the Company

We are partnered with a growth-stage fintech company building transparent, borrower-friendly financial products. The team is simplifying access to credit through data-driven decision-making, modern infrastructure, and a strong emphasis on customer outcomes. You will join a small, collaborative, and impact-oriented department.

Responsibilities

• Design, build, and maintain scalable data pipelines and infrastructure using Snowflake, Airflow, Fivetran, and dbt
• Develop and optimize SQL- and Python-based workflows for data ingestion, transformation, and automation
• Partner with business stakeholders to design and maintain reliable data marts, addressing data quality gaps and inconsistencies
• Implement robust testing and validation frameworks, particularly within dbt models, to ensure end-to-end data reliability
• Apply data platform reliability best practices, including monitoring and alerting (e.g., Datadog) for ETL workflows
• Collaborate cross-functionally to translate business needs into scalable data solutions
• Own projects end to end while contributing effectively within a collaborative team environment

Qualifications

• 3 – 5 years of experience in data engineering or analytics engineering roles (fintech or regulated environments preferred)
• Bachelor’s degree in a relevant field or equivalent practical experience
• Strong proficiency in SQL
• Hands-on experience with Python, Snowflake, Airflow, Fivetran, and dbt
• Solid understanding of data modeling, version control (Git), and CI/CD workflows
• Experience operating data platforms in cloud environments, preferably AWS
• Strong communication skills, business intuition, and the ability to troubleshoot complex data issues

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Senior Digital Strategist, Paid Social

$70,000 – $90,000 Base + Benefits

New York / Connecticut Preferred | Remote (ET/CST)

We’re partnered with a leading independent media agency looking to hire a Senior Media Strategist, Paid Social to join their growing digital team.

This is a hands-on role focused on owning paid social campaigns end-to-end across major platforms, working with a strong portfolio of clients across insurance, healthcare, finance, and consumer brands.

The Role

You’ll be responsible for building, launching, and optimizing paid social campaigns, working closely with internal media, analytics, and creative teams to drive performance.

• Execute and optimize paid social campaigns across Meta, LinkedIn, TikTok, Reddit, Snap, Pinterest, and X
• Develop campaign strategy based on audience, platform, and performance data
• Analyze campaign performance and provide actionable insights to improve KPIs
• Collaborate with cross-functional teams to align on media plans and execution
• Support creative direction by advising on best-performing formats and messaging

Your Background

• 4-5+ years of hands-on paid social experience
• Strong platform expertise across Meta and at least 2-3 additional channels (TikTok, LinkedIn, Snap, etc.)
• Proven ability to optimize campaigns and improve performance metrics (CPA, ROAS, conversions)
• Experience working in an agency environment preferred
• Comfortable owning campaigns end-to-end, from setup through reporting

What We’re Looking For

• A true executor – someone who enjoys being in-platform and driving performance
• Strong analytical mindset with a focus on results
• Collaborative, positive, and team-oriented
• Someone looking to grow within a stable, high-performing team (not a step-up title move)

Why Apply?

• Join a well-established agency with strong client relationships and continued growth
• Work across a diverse set of brands and industries
• Be part of a collaborative, high-performing paid social team
• Clear expectations, strong culture, and realistic work-life balance

If you’re a paid social specialist looking for a role where you can own campaigns and make a direct impact, apply now or reach out for more details.

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AI Consultant
London, 3 days in the office| Salary between £80,000 and £90,000

This is a high-impact opportunity to join a newly established AI lab within a large, data-rich organisation, where AI is central to future product innovation and client delivery. Sitting at the senior end of the consultant band, this role offers real influence over how advanced analytics and AI are applied to complex, real-world lending decisions.

The Company

They are a well-established data and analytics organisation operating at scale across financial services and adjacent industries. With access to extensive proprietary datasets, they support clients in making more accurate, responsible decisions through advanced analytics and modelling. Their AI lab is a growing centre of excellence designed to accelerate innovation and embed AI across the wider business.

The Role

You will play a key role in developing and enhancing AI-driven solutions used across client and internal projects, with a strong focus on credit and lending use cases.

Responsibilities include:

• Designing and building AI and machine learning models to support lending, risk, and decisioning strategies.
• Developing and enhancing predictive models, including scorecards and other risk-focused approaches.
• Applying techniques such as LLMs, transformers, and applied ML to real business problems such as automation and decision support.
• Leading research and development activity for new AI-led solutions and product concepts.
• Communicating complex analytical outputs clearly through presentations, written outputs, and stakeholder discussions.
• Collaborating closely with analytics, engineering, and product teams across the organisation.

Your Skills and Experience

• Strong commercial experience in credit risk modelling within a lender, fintech, or credit bureau environment.
• Proven capability in developing predictive models, including scorecards or similar risk models.
• Hands-on experience applying AI or machine learning, such as LLMs, chatbots, or advanced ML techniques, to business problems.
• Strong Python and SQL skills for data analysis and model development.
• Experience exploring alternative or innovative AI-driven approaches to solve challenges within lending or collections.
• Confidence working autonomously and contributing at a senior consultant level.

What They Offer

• Salary between £80,000 and £90,000
• A key role within a growing AI lab with strong visibility and long-term progression opportunities.
• Exposure to a wide variety of projects across financial services and other data-intensive sectors.
• A collaborative, inclusive culture with strong retention and long-term career development.

How to Apply

Apply bellow or email me at

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Research Scientist, Human Attention and Spatial AI
Remote | Salary £60,000 to £75,000 plus equity

This is a rare opportunity to join a small, research-led team working on some of the most challenging problems in human-centred AI. The role offers genuine ownership, the chance to shape research direction, and the ability to see ideas move quickly from experimentation into real-world applications.

The Company

They are a human-centric research and development consultancy focused on modelling how people perceive, attend to, and interact with complex visual and spatial environments. Operating with a lean, startup-style culture, the team works closely with industry partners while actively expanding into new application areas such as aerospace, immersive technologies, and assistive systems.

The Role

You will work at the intersection of machine learning, computer vision, and cognitive science to build models that predict and interpret human attention and behaviour in visual and spatial contexts.

Key responsibilities include:

Designing and implementing machine learning models for human attention, perception, and interaction.
Running independent experiments, from hypothesis and data design through to evaluation and analysis.
Working with visual, temporal, and spatial data including images, video, 3D scenes, and gaze signals.
Translating research ideas into practical prototypes with support from a small engineering-focused team.
Contributing ideas proactively in an open, research-driven environment.

Your Skills and Experience

• PhD, near-complete PhD, in machine learning, computer vision, AI, cognitive science, neuroscience, HCI, robotics, or a related field.
• Evidence of strong research output such as publications at leading computer vision or AI venues, patents, or substantial open-source contributions.
• Strong hands-on experience with Python and modern deep learning frameworks, ideally PyTorch.
• Ability to design, run, and evaluate machine learning experiments independently.
• A genuine interest in human behaviour, attention, perception, or cognitive modelling.
• Clear communication skills and confidence working in a small, collaborative team.

What They Offer

• Salary between £60,000 and £75,000 depending on experience.
• Equity options ranging from 0.1 percent to 3.0 percent based on seniority and scope.
• Fully remote.
• High-impact research problems, real-world applications, and meaningful technical ownership.
• A supportive, creative culture that values curiosity, initiative, and thoughtful experimentation.

How to Apply

Apply below or email me at for more information.

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Staff Data Analyst, Product Analytics

Location: Remote

Salary: $200-250k

Join a rapidly growing, Series C cloud platform company recognized for innovation and leadership in modern technology. This high-impact role offers the opportunity to drive strategy, shape growth, and turn complex data into actionable insights that improve product performance and streamline operational efficiency.

About the Role

The Staff Data Analyst will play a key role in defining critical business metrics, creating scalable visualizations, and automating reporting systems. The position involves collaborating across teams to uncover insights, streamline processes, and optimize data usage to support growth.

Key Responsibilities

• Develop and implement key business metrics to measure performance and identify opportunities.
• Create dynamic visualizations and automate reporting workflows to support decision-making.
• Build and enhance analytics datasets to optimize growth strategies and reduce costs.
• Collaborate with product, business, and leadership teams to deliver data-driven solutions.
• Prototype dashboards and data tools to improve workflows and promote best practices.
• Support data accessibility by maintaining analytical technologies that ensure timely access to data.
• Shape the analytics roadmap, aligning data initiatives with organizational goals.

About You

• 6+ years of experience in a data-focused role such as Data Analyst, Product Analyst, or Business Analyst.
• Proficient in SQL and experienced in working with complex datasets.
• Familiarity with Python or R and applied statistics.
• Expertise in ELT data modeling and tools like Hashboard, Looker, or Omni.
• Strong communication skills with the ability to translate data into actionable insights.
• Adept at collaborating in a fast-paced, cross-functional environment.

This is an opportunity to join a dynamic team where data is at the core of driving decisions and innovation. If you’re passionate about transforming data into meaningful outcomes and enjoy working on high-impact projects, this role offers the chance to make a lasting contribution.

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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

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