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Data Scientist

Liverpool area (3 days onsite) | £45,000 to £50,000

This is a strong opportunity for a commercially minded Data Scientist to step into a growing team at a key point in its data journey. You will have the chance to work on high-impact customer projects while helping shape how data science is delivered and scaled across the business.

The Company

They are a well-established UK retail organisation investing heavily in building a modern data and AI capability. The business is transitioning away from ad hoc analytics towards a more structured and scalable data science approach. A major focus is on customer insight and personalisation, driven by a new loyalty programme. The culture is collaborative, pragmatic, and focused on delivering tangible value.

The Role

You will work closely with the Data Science Lead and a small, high-impact team to deliver production-ready models and insights.

• Build and deploy machine learning models to support customer and commercial decision making
• Deliver key use cases such as customer segmentation, lifetime value modelling, and demand forecasting
• Work across the full data science lifecycle from problem definition through to deployment
• Contribute to the development of a new data science platform
• Collaborate with data engineers, analysts, and business stakeholders to deliver measurable impact
• Communicate complex findings clearly and confidently to non-technical audiences
• Support scaling existing models into broader business use

Your Skills and Experience

• Strong commercial experience applying data science and machine learning to business problems
• Proficiency in Python preferred, or R with openness to transition
• Solid SQL skills and experience working with complex datasets
• Experience delivering end-to-end data science solutions, including production deployment
• Exposure to cloud platforms such as GCP or Azure is beneficial
• Strong stakeholder management and communication skills
• A practical, outcome-focused approach to problem solving

What They Offer

• £45,000 to £50,000 salary
• Hybrid working with 3 days onsite in the Liverpool area
• The opportunity to shape and influence a growing data science function
• Clear progression as the team scales
• Collaborative and inclusive working environment
• Benefits including staff discount, wellbeing support, pension, and development opportunities

How to Apply

Apply now with your CV to explore this opportunity further.

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Lead AI Engineer – Cybersecurity

Active TS/SCI Clearance Required (Poly preferred)

Fort Meade, MD – Hybrid (2-3 days/week onsite)

$200,000 – $225,000 Base + Bonus

THE COMPANY

Harnham is partnering with a well-known government contractor which supports U.S. national security and public-interest missions across cybersecurity, AI, and defense.

This role sits within the Trustworthy & Secure AI department, a specialized group focused on advancing adversarial AI, AI assurance, and secure deployment of AI technologies in high-stakes environments. The team works directly with the U.S. government and intelligence agencies, driving innovation in AI-enabled cyber defense and mission-critical systems.

RESPONSIBILITIES

• Conduct adversarial AI research, including threat modeling, vulnerability analysis, and red teaming of AI systems.
• Develop mitigation strategies for adversarial attacks and improve AI system robustness and resilience.
• Design and deploy secure AI systems for use in cyber and intelligence environments.
• Integrate AI technologies into operational cyber defense systems and mission workflows.
• Collaborate directly with U.S. Cyber Command and intelligence stakeholders on AI initiatives and adoption strategies.
• Support AI workforce enablement, training, and implementation of secure AI tooling.
• Lead cross-functional initiatives across AI, cybersecurity, and mission domains.
• Provide technical leadership through mentoring, architecture guidance, and thought leadership contributions.
• Present findings through briefings, whitepapers, and technical presentations to government stakeholders.

SKILLS AND EXPERIENCE

• 8+ years (BS), 6+ years (MS), or 3+ years (PhD) of experience in AI/ML or related fields.
• Strong understanding of AI/ML fundamentals and model behavior.
• Experience in adversarial AI, AI security, red teaming, or AI evaluation frameworks.
• Hands-on experience with AI systems, including generative AI, reinforcement learning, computer vision, or agent-based systems.
• Strong background in cybersecurity, cyber operations, or related domains.
• Experience collaborating with both technical and operational stakeholders.
• Strong communication skills with the ability to translate technical concepts into mission impact.
• Active TS/SCI clearance required with ability to obtain Full Scope Polygraph.

PREFFERED EXPERIENCE

• Experience supporting government, defense, or intelligence organizations.
  Exposure to offensive or defensive cyber operations.
• Experience deploying AI systems into production or mission environments.
• Knowledge of AI governance, assurance, and secure deployment frameworks.
• Familiarity with intelligence data or operational cyber workflows.
• Existing Full Scope Polygraph clearance.

BENEFITS

The compensation package includes a competitive base salary, annual bonus, and a comprehensive benefits package.

HOW TO APPLY

Please submit your CV via the Apply link on this page to register your interest.

KEY TERMS

Adversarial AI | AI Security | Cybersecurity | AI Red Teaming | Machine Learning | Generative AI | Reinforcement Learning | Cyber Operations | Intelligence | Secure AI | National Security | AI Systems | Defense Technology | TS/SCI | Top Secret | Poly | Polygraph

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Product Manager
London Bridge (Hybrid, 3 days per week)
Up to £68,000
This is an opportunity to join a highly visible product team working on innovative digital and advertising products at scale. You will take ownership of key commercial technology initiatives, shaping how digital experiences drive revenue and engagement across multiple platforms. With exposure to large-scale audiences and complex product ecosystems, this role offers strong impact and long-term growth potential.
The Company
They are a leading media and digital organisation with a global footprint and a portfolio of widely recognised content platforms. Operating across digital, mobile, audio, and broadcast channels, they deliver content to millions of users each month. Their focus is on continuous innovation, leveraging data and technology to enhance user experience and commercial performance. The business promotes a collaborative and inclusive working culture, with a strong emphasis on learning and development.
The Role

• Own and evolve product roadmaps across commercial and advertising technology products
• Lead product discovery, identifying opportunities for innovation and optimisation
• Collaborate closely with business analysts to define requirements and prioritise backlogs
• Work with engineering teams to deliver high-quality digital products across web and app environments
• Use data and experimentation to measure performance and inform decision making
• Support the development of advertising products, including dynamic ad experiences and targeting capabilities
• Contribute to initiatives focused on revenue growth, user engagement, and platform scalability

Your Skills & Experience

• Strong commercial experience in product management within digital environments
• Proven track record delivering web or app-based products end to end
• Experience with product discovery, roadmap planning, and stakeholder engagement
• Confidence working with cross-functional teams including engineering and analytics
• A data-driven approach, with experience using insights to inform product decisions
• Exposure to advertising technology or programmatic ecosystems is advantageous
• Clear and effective communication skills, with the ability to operate autonomously

What They Offer

• Salary up to £68,000
• Hybrid working model based in London Bridge
• Opportunity to work on high-impact, large-scale digital products
• Collaborative team environment with strong engineering and product support
• Potential for the role to become permanent
• Access to learning and development resources to support career progression

How to Apply
If you are interested in this Product Manager opportunity, please apply with your CV.

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Data Executive
London (Hybrid, 2 days in office) | £28,000 – £35,000 + benefits
This is an excellent opportunity for a Data Executive to join a collaborative marketing data team where your work will have a direct impact on campaign delivery and performance. You will play a key role in ensuring high-quality data operations while gaining exposure to a fast-paced agency environment with clear progression opportunities.
The Company
They are a well-established marketing agency with a strong focus on delivering data-driven campaigns across multiple channels. The business has built a reputation for developing early-career talent, offering structured training and long-term progression opportunities. Their data team is growing, with experienced analysts driving innovation and junior team members supported to develop quickly. The culture is collaborative, supportive, and focused on continuous improvement.
The Role
You will support the data function across day-to-day operations, ensuring the smooth delivery of marketing campaigns and maintaining high-quality datasets.

• Build and manage accurate data lists based on campaign briefs
• Support email marketing activity, including list uploads and exclusion management
• Prepare data for direct mail campaigns
• Maintain and cleanse databases to ensure accuracy and compliance
• Manage unsubscribes, bounces, and general data hygiene processes
• Assist with reporting, including basic analysis and visual outputs
• Create location-based data outputs such as mapping
• Support ongoing improvements to data processes and workflows

Your Skills & Experience

• Strong hands-on experience working with data in a commercial or marketing environment
• Advanced Excel skills, including data manipulation and analysis techniques
• Experience managing contact databases or CRM systems
• Exposure to email marketing platforms or ESPs
• Strong numerical skills with excellent attention to detail
• A collaborative mindset and clear communication skills
• Ability to manage multiple tasks and prioritise effectively

Desirable:

• Basic SQL knowledge
• Experience with tools such as Dotdigital, HubSpot, or similar platforms
• Understanding of email marketing metrics such as open rates and click-through rates
• Exposure to CRM platforms such as Salesforce or Adobe environments
• Awareness of the education sector or similar audience-based marketing

What They Offer

• Competitive salary and benefits package
• Hybrid working with a central London office
• Structured training and mentoring from experienced team members
• Clear progression pathways within a growing data team
• Long-term career development within a leading marketing environment

How to Apply
To apply for this Data Executive role, please submit your CV outlining your relevant experience and interest in data-driven marketing.

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Senior Engagement Manager – Analytics Consulting
London or Leeds
£100,000 – £120,000

This is a high impact opportunity to join a growing analytics consulting capability within a global data driven business. You will lead client engagements, shape solutions, and play a key role in building a consulting practice with clear progression into leadership.

The Company
They are an established, international organisation specialising in data, analytics and decisioning. They consult with major financial services and fintech clients to solve complex commercial challenges. They are investing in expanding their advisory offering, moving beyond products into end to end consulting. This creates the opportunity to help shape a new and growing function.

The Role

• Lead analytics consulting projects end to end
• Act as the main client contact for senior stakeholders
• Translate data into clear commercial recommendations
• Work with data science and analytics teams to deliver solutions
• Support proposals, pitches and client discussions
• Contribute to building the consulting practice
• Deliver projects across credit risk, pricing, fraud and customer strategy

Your Skills & Experience

• Experience in analytics or data led consulting within financial services, fintech or payments
• Strong stakeholder management and client facing delivery
• Ability to turn analytics into commercial outcomes
• Background in credit risk, customer analytics or related areas
• Exposure to SQL, Python or similar tools
• Consulting experience is essential

What They Offer

• £100,000 – £120,000 base salary + bonus
• Hybrid working with client exposure
• Opportunity to shape a growing consulting function
• Clear progression into leadership roles
• Strong benefits and development opportunities

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Data Scientist

Knowsley – 3 days a week

The Company
They are a well established UK retail business undergoing a broader data and AI transformation. The organisation is investing in building a modern Data Science capability to support decision making across commercial and customer functions. Their culture is practical, collaborative and delivery focused, with an emphasis on creating value quickly rather than over engineering solutions. Data is increasingly central to their strategy, particularly with the launch of a new customer loyalty programme.

The Role
You will work closely with the Data Science Lead and a small but growing team to develop and productionise machine learning solutions.

• Build and deploy models that support customer and commercial decision making
• Work on use cases such as customer segmentation, lifetime value modelling and demand forecasting
• Contribute to the development of a scalable Data Science platform
• Collaborate with data engineers, analysts and business stakeholders
• Translate business problems into data science solutions and clearly communicate outputs
• Support the expansion of existing models into broader production use

Your Skills and Experience

• Strong commercial experience in Data Science using Python
• Solid SQL skills and experience working with large datasets
• End to end experience delivering Data Science solutions from problem definition through to deployment
• Experience building and validating machine learning models
• Ability to communicate insights clearly to non technical audiences
• A practical, business focused approach to problem solving

What They Offer

• Hybrid working with three days per week in Knowsley
• Opportunity to shape and influence a growing Data Science function
• Exposure to end to end project work with real business impact
• A collaborative environment focused on learning and delivery

How to Apply
Apply now to learn more about this Data Scientist opportunity and the impact you can make within a growing data driven environment.

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CRM Executive
London (Hybrid)
Up to 35k

This is an exciting opportunity for a CRM/Data Executive to join a growing data-focused team, supporting impactful multi-channel campaigns and working with a large, evolving database. You will play a key role in ensuring data accuracy and delivering insights that directly support client engagement and communication strategies.

The Company
They are a well-established organisation working at the intersection of data, communications, and partnerships. Their work supports large-scale engagement initiatives across a diverse client base. With a strong emphasis on data quality and innovation, they are continually investing in their data capabilities. You will join a collaborative team where your contributions will have visible impact from day one.

The Role
* Build and manage targeted contact lists to support email campaigns, outreach activity, and direct communications
* Produce clear, client-ready reports using charts, graphs, and data visualisations
* Maintain and update a central CRM database, ensuring data quality and integrity
* Carry out data cleansing and de-duplication to improve database performance
* Support inbox management, resolving user queries related to account setup and access
* Collaborate with internal teams to deliver accurate and timely data outputs

Your Skills and Experience
* Strong commercial experience working with data in a fast-paced environment
* Advanced Excel skills including pivot tables, lookups, and data manipulation techniques
* Experience with data cleaning, matching, and maintaining large datasets
* Strong attention to detail with a methodical and organised approach
* Confident communicator with the ability to work collaboratively
* Exposure to email service providers such as Mailchimp or similar tools is beneficial

What They Offer
* Competitive salary and benefits package
* Opportunity to develop within a growing data team
* Hands-on experience across a variety of data-driven projects
* Supportive and collaborative working environment with clear progression opportunities

How to Apply
If you are interested in this Data/CRM Executive role, please apply with your updated CV.

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CRO Consultant1-2 Days in office – Egham
Up to 60k

This is an excellent opportunity to join a fast-growing experimentation and optimisation environment where you will take full ownership of client programmes and see the direct impact of your work. You will work across a diverse portfolio of enterprise clients, delivering insight-led testing strategies that genuinely influence digital performance and customer experience.

The Company
They are an established and rapidly scaling digital experimentation and personalisation specialist, working with a wide range of well-known enterprise clients across multiple sectors. Their focus is on helping organisations make smarter, data-driven decisions through testing, analytics, and continuous optimisation. They pride themselves on a collaborative and supportive culture that encourages curiosity, innovation, and ongoing learning.

The Role
You will lead end-to-end optimisation programmes, partnering closely with stakeholders to identify opportunities and deliver measurable results.

• Own the experimentation lifecycle from ideation through to analysis and recommendations
• Develop hypotheses based on data, user behaviour, and business objectives
• Plan and manage testing roadmaps aligned to client goals
• Analyse experiment results and provide clear, actionable insights
• Deliver detailed reports and presentations to stakeholders
• Lead regular client check-ins and strategy discussions
• Maintain clear documentation of tests, outcomes, and learnings
• Collaborate with technical and analytics teams to ensure smooth delivery
• Use tools such as Jira and Tempo to manage workflow and timesheets

Your Skills & Experience

• Strong commercial experience in conversion rate optimisation and experimentation
• Confident designing and analysing A/B and multivariate tests
• Experience working with experimentation platforms such as VWO or similar
• Strong stakeholder management and communication skills
• Ability to translate data into clear business recommendations
• Experience working in agency, vendor, or in-house environments
• Solid understanding of digital analytics and user behaviour
• Comfortable working across multiple projects and client accounts

What They Offer

• Competitive salary up to £60,000
• Flexible and hybrid working options
• Exposure to a diverse portfolio of enterprise clients
• Opportunity to develop across experimentation and advanced analytics
• Supportive environment with strong career progression opportunities
• Comprehensive benefits package including healthcare and wellbeing support

How to Apply
If you are passionate about experimentation and want to make a measurable impact through data-driven decision making, apply now to find out more.

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Data Scientist – Merseyside

As a Data Scientist, you will work closely with the Lead Data Science and cross-functional teams to develop and deploy models that support customer and commercial decision-making. Responsibilities include:

• Building and deploying machine learning models across customer use cases
• Delivering projects focused on customer segmentation, lifetime value, and forecasting
• Supporting targeted marketing activity, including campaigns and personalisation
• Collaborating with data engineers, analysts, and business stakeholders
• Contributing to the development of a scalable Data Science platform
• Ensuring models are production-ready and drive measurable business impact

Your Skills & Experience

• Strong commercial experience in Data Science, delivering end-to-end projects
• Proficiency in Python, with solid SQL skills
• Experience applying machine learning and statistical techniques to business problems
• Exposure to deploying models into production environments
• Understanding of cloud platforms such as GCP or Azure is beneficial
• Ability to communicate insights clearly to non-technical stakeholders
• A practical, delivery-focused mindset with a collaborative approach

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