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CRM Data Executive

Location: South London
Type: Full-time – Up to £35,000

About the Role

An exciting opportunity has arisen for a detail-oriented and analytical Data Executive to join a growing data team within a fast-paced, purpose-driven organisation.

In this role, you will support the delivery of multi-channel communication campaigns across a varied client base, while helping to maintain and grow a large-scale database. This position is ideal for someone who enjoys working with data, has strong Excel skills, and is looking to develop within a collaborative environment.

Key Responsibilities

• Create bespoke contact lists to support campaigns including email marketing, outbound calling, and direct mail
• Assist in producing client-ready reports, incorporating charts, graphs, and visual insights
• Manage ongoing CRM/database maintenance, ensuring accuracy and quality
• Carry out data cleansing, deduplication, and validation tasks
• Provide support in managing inbox queries, assisting users with account set-up and troubleshooting
• Contribute to the continuous growth and improvement of the database

What We’re Looking For

• 1-2 years’ experience in a data-focused or analytical role
• Strong communication skills and a collaborative approach
• Excellent attention to detail and numerical accuracy
• Highly organised with strong time management skills
• Analytical, proactive, and solution-oriented mindset
• Advanced Excel skills, including:
  • Pivot tables
  • VLOOKUP
  • Data deduplication & matching
  • Fuzzy matching
  • Macros
• Experience with email marketing platforms (e.g. Mailchimp or similar) is advantageous

Benefits

• Competitive salary package
• Clear progression and development opportunities
• Exposure to large-scale data projects and multi-channel campaigns
• Supportive, collaborative team environment
• Opportunity to work within a purpose-led organisation
• Central London location with good transport links

How to Apply

If you’re a data-driven professional looking for your next opportunity, apply directly or email me your CV.

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VP Credit Risk – Data Science, Analytics & Strategy

Remote within US

No visa sponsorship

Up to $250,000 + Bonus

A fast‑growing SMB finance business is hiring a senior credit leader to help take an already‑strong credit operating system into its next phase.

The foundations are in place:

solid underwriting, established portfolio monitoring, deployed controls, and proven growth. The focus now is speed, automation, and intelligence – scaling ML‑driven decisioning so portfolio insights translate directly into automated offers, pricing, and limit actions across the credit funnel.

This role is designed to add deep external ML and analytics firepower to the organisation – not just to refine rules, but to help push credit strategy into the future and spearhead credit analytics for the organisation.

What you’ll be responsible for

• Owning credit policy and analytics across origination, portfolio monitoring, and customer management.
• Leading the next generation of ML‑driven credit models, including portfolio‑level modelling, monitoring, drift detection, and retraining strategy.
• Helping transition credit decisions toward increasingly automated offers and funnels, without sacrificing risk discipline.
• Translating portfolio signals into clear policy, pricing, and growth actions at speed.
• Partnering closely with Product, Engineering, and Operations to productionise analytics into decision engines.
• Acting as a visible senior leader and external benchmark for the credit and analytics team to aspire to.

What they’re looking for

• 8-12+ years in credit, decision science, analytics, or risk within fintech, SMB lending, cards, or adjacent data‑intensive environments.
• Very strong ML and analytics fundamentals, especially applied to portfolio‑level decisioning.
• Experience working in businesses where data and models directly drive live credit decisions.
• Comfortable moving beyond rule‑based credit toward more automated, model‑driven strategies.
• SMB experience preferred, but equally valuable is proven work in messy, real‑world credit environments.
• A leader who can both raise the technical bar and inspire the next layer of talent.

Why this role is interesting

• Credit and analytics fundamentals are already strong – this is about propelling the system forward, not rebuilding it.
• Significant scope to shape how ML is embedded into credit strategy over the next few years.
• High visibility role with real influence over product direction and growth.
• Opportunity to be the external reference point in a scaling credit organisation.

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Marketing Science Manager – Brand, Social & Media Analytics

NYC / Boston / Atlanta (Hybrid)

$141k-$188k + 15% bonus

A leading global consumer brand is hiring a Marketing Science leader to build and scale how upper-funnel marketing is measured.

This is a globally recognised tech brand evolving its marketing strategy toward creator, influencer and culture-led growth-powered by the build-out of their Brand Studio, a next-generation content and partnerships engine. This role is responsible for bringing analytical rigour and measurement sophistication to this evolving ecosystem.

This is a high-impact role focused on brand, social, creator and partnership analytics-working at the intersection of media, content and data.

You’ll

• Design measurement frameworks for brand, influencer and cultural marketing
• Lead experimentation strategy (A/B, geo tests, incrementality)
• Overhaul brand lift and vendor-led measurement approaches
• Translate complex signals into media investment decisions
• Partner closely with senior marketing leadership

Ideal background:

• Marketing Science / Media Effectiveness (agency or platform)
• Strong experience in brand lift, experimentation, media measurement
• Comfortable working with ambiguous, upper-funnel data
• Hands-on with data (SQL preferred)

Not a fit for:

• Pure performance marketing
• MMM-only profiles
• Traditional market research

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Senior Machine Learning Engineer | Ad Tech Optimization

Location: Hybrid (Irvine, CA) or Fully Remote (CA, WA, AZ, NY, NJ, NV, UT, TX)

Compensation: $200,000 $240,000 salary annually (solely base)

Industry: Mobile Gaming

About the Role

The ML Scientist, AdTech will join a high-impact machine learning team responsible for designing, building, and iterating on the systems that power ad ranking, feature optimization, and model performance across the company’s advertising platform. This person will work across the full ML lifecycle, from raw feature creation and engineering through model training, evaluation, and production deployment.

Key Responsibilities

• Design and develop machine learning models focused on ad ranking, bidding optimization, and advertiser performance
• Drive end-to-end feature creation, feature engineering, and feature optimization for ranking and recommendation systems
• Build, train, evaluate, and iterate on neural network architectures and gradient-boosted models for production ad systems
• Develop and refine personalization systems and recommendation engines to optimize user value and engagement
• Collaborate with data engineering teams to build robust feature pipelines using Snowflake, OCI, and AWS infrastructure
• Conduct rigorous offline and online evaluation of model performance through experimentation and A/B testing
• Apply search and ranking algorithms to improve marketplace and ad auction performance
• Partner cross-functionally with product, engineering, and monetization teams to align ML outputs with business goals
• Continuously monitor and improve model accuracy, calibration, and scalability in production environments

Required Qualifications

• 5 or more years of experience in data science, machine learning, or applied ML in production environments
• Demonstrated experience with ad tech optimization, including ad ranking systems, bidding algorithms, or related advertising technology
• Hands-on experience with recommendation engines, personalization systems, or search and ranking algorithms
• Proven ability to design and configure neural network architectures for real-world ML applications
• Proficiency in Python and standard ML libraries (scikit-learn, TensorFlow, PyTorch, XGBoost/LightGBM)
• Experience working with OCI (Oracle Cloud Infrastructure), AWS, and Snowflake
• Strong foundation in feature engineering, feature selection, and model iteration best practices
• Solid understanding of CTR/CVR prediction, multi-task learning, and calibration techniques

Preferred Qualifications

• Experience in mobile gaming, marketplace optimization, or user value optimization (LTV modeling, ROAS optimization)
• Familiarity with feature stores, online/offline feature serving, and training-serving skew mitigation
• Background in real-time bidding (RTB) systems or programmatic advertising platforms
• Experience with MLflow, Kubeflow, SageMaker, or Vertex AI for experiment tracking and model deployment

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Staff Data Scientist – B2B Marketing & Attribution

Location: Dallas, TX (Onsite, relocation available)

Comp: $180-220k base + equity + bonus

A global semiconductor company is building out its internal marketing and growth analytics function and is seeking a Staff Data Scientist to lead the transformation of its B2B advertising and attribution strategy. This role is highly strategic, focused on evolving measurement capabilities from last-click attribution to a full-funnel, multi-touch approach that better captures the complexity of long sales cycles and account-based engagement. You will play a critical role in integrating audience signals, campaign performance data, and attribution models to drive more efficient customer acquisition and pipeline growth.

What You’ll Do

• Lead the design and implementation of full-funnel attribution models, transitioning from last-click to multi-touch measurement frameworks.

• Develop data-driven strategies to improve CAC, marketing efficiency, and pipeline contribution across B2B channels.

• Integrate and analyze data across platforms including DSPs, CDPs, Google Analytics (GA4), CRM systems, and the enterprise data warehouse.

• Build and scale A/B and multivariate testing frameworks to optimize campaign performance and conversion rates.

• Apply AI/ML techniques to enhance audience segmentation, targeting, and predictive performance modeling.

• Partner with marketing, sales, and product stakeholders to translate business goals into measurable analytics initiatives.

• Establish best practices around marketing measurement, experimentation, and attribution in a complex, account-based environment.

What You Bring

• 8+ years of experience in data science, with a strong emphasis on B2B marketing, advertising, or growth analytics.

• Proven experience advancing organizations from last-click to multi-touch attribution models.

• Strong programming skills in Python and SQL, with experience working in modern data warehouse environments (e.g., Snowflake, BigQuery, Redshift).

• Hands-on experience with Google Analytics, DSPs, CDPs, and ABM platforms such as 6sense or Demandbase.

• Deep understanding of CAC, funnel metrics, pipeline attribution, and campaign performance analysis.

• Experience leading experimentation strategies and applying statistical methods to measure impact.

• Ability to communicate complex analytical insights to cross-functional and executive stakeholders.

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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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