The Data And AI Podcast
This podcast will cover a range of topics such as finding data talent, and AI training. We will also discuss more advanced subjects like assessing the value of your data team, identifying biases in AI and addressing pay gaps in Data and AI.
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Data Recruitment & AI Talent Solutions
JOIN THE HARNHAM TEAM
Senior AI Engineer
Manchester
£70000 - £90000
+ Data Science & AI
PermanentManchester, Greater Manchester
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Senior AI Engineer – Manchester
We are working on an exciting role with a scale up SaaS company who are focused on helping clients eliminate wasteful and fraudulent ad traffic.
The Role
We are looking for an experienced Data Scientist with strong ML expertise to build and improve models that detect invalid traffic (IVT) and protect ad spend. You’ll work with large-scale data, design production-ready ML systems, and collaborate closely with engineering to keep models performant and reliable.
Responsibilities
- Develop and deploy ML models to detect bot and fraudulent traffic
- Lead research and prototyping of new detection methods
- Monitor model performance and address drift or false positives
- Collaborate across teams to turn insights into product features
- Ensure compliance, scalability, and reliability of ML systems
What We’re Looking For
- Proven experience with ML in production environments
- Strong skills in Python, SQL, and AWS (SageMaker, Lambda, etc.)
- Familiarity with MLOps and real-time data applications
- A pragmatic mindset and strong problem-solving ability
- Background in adtech or fraud detection is a bonus
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Copywriter (CRM and Email Campaigns)
City of London
£250 - £300
+ Advanced Analytics & Marketing Insights
ContractCity of London, London
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Copywriter, CRM and Email Campaigns
London, Outside IR35, £250 – 300 Day Rate, 3 month contract
This is a standout freelance opportunity to shape high-impact email communications for a large-scale CRM and digital uplift. You will be brought in to elevate creative quality, introduce fresh thinking and help set higher standards across email touchpoints for a global consumer-focused organisation.
The Company
They are a global consumer organisation investing significantly in improving their CRM and digital communication channels. The team is focused on strengthening design quality, refining customer journeys and building consistency across all email communications. They work collaboratively with contractors and value creative thinking, strong standards and dependable delivery. They are intentionally seeking talent from outside their category to bring new perspectives and ideas.
The Role and Deliverables
* Create clear, engaging copy for email campaigns supporting retail, ecommerce and FMCG activity.
* Develop concise and effective supporting copy that complements existing design work.
* Adapt tone of voice across different brands and audiences, ensuring alignment with varying brand guidelines.
* Collaborate closely with CRM, marketing and design teams to refine and improve creative outputs.
* Support the uplift of email journeys by improving clarity, consistency and overall customer experience.
Your Skills & Experience
* Strong experience writing copy for email and CRM campaigns within retail, ecommerce or FMCG environments.
* Ability to quickly understand and apply different tone of voice frameworks across multiple brands.
* Confident crafting concise, impactful copy that enhances visual design rather than competing with it.
* Comfortable working collaboratively with CRM, marketing and creative teams.
* Brings fresh thinking from outside regulated or tobacco-related categories.
How to Apply
Apply now to be considered for this contract opportunity and help shape the next phase of CRM and email communication excellence.
To Apply for this Job Click Here
Data & Analytics Engineer
New York
$55 - $70
+ Data Engineering
ContractNew York
To Apply for this Job Click Here
Data and Analytics Engineer
About Harnham
Harnham is the global leader in data and analytics recruitment. We connect top contractors with teams that need senior expertise to ship high-impact data products quickly.
About the client
Our client is a growing organization building modern analytics capabilities across the US. They are developing a best in class reporting environment and need a data and analytics engineer who can design scalable models and deliver polished executive dashboards.
Role Details
* Role: Data and Analytics Engineer
* Location: New York City hybrid (2-3 days per week on site near Midtown). Remote is possible but there is a strong preference for hybrid in NYC
* Pay range: $55-$70 per hour
* Length: 6 months
* Utilization: 40 hours per week
* Benefits: W2 employees are eligible for healthcare, dental, vision, and 401k
The role
This contractor will build analytics-ready data models, governed semantic layers, and high-quality dashboards that serve executive and operational teams. The focus is on delivering polished Sigma dashboards, KPI scorecards, and high performance Snowflake datasets. The role requires strong communication and executive presence, as you will work directly with senior business stakeholders to define metrics, interpret requirements, and guide reporting strategy.
Key responsibilities
* Build Sigma dashboards, executive scorecards, and KPI-driven reports with strong visual design.
* Develop Snowflake data models and semantic layers optimized for high performance analytics.
* Create and maintain scalable ETL or ELT pipelines using modern cloud tools.
* Partner with business leaders to translate requirements into curated datasets and intuitive dashboards.
* Ensure data quality through validation, documentation, and governance.
* Communicate project scope, timelines, and constraints with clarity to senior stakeholders.
Requirements: must have
* 4 plus years of experience in data engineering and analytics engineering.
* Strong hands-on experience with Sigma dashboard development.
* Expertise in Snowflake modeling and optimizing datasets for BI consumption.
* Strong SQL and Python for ETL pipelines.
* Excellent communication skills, with the ability to manage executive stakeholders.
Nice to have
* Experience working with financial services or investment-related data.
* Experience with KPI frameworks or metric definition for leadership teams.
* Experience with vector databases is a plus but not required.
If you enjoy shaping data models, building polished dashboards, and guiding business leaders through analytics needs, we would love to speak with you. Apply or reach out for a confidential conversation.
**WE WILL NOT BE UTILIZING THIRD PARTIES FOR THIS SEARCH. ONLY REACH OUT OR APPLY IF YOU ARE A CANDIDATE INTERESTED IN THE ROLE**
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Head of Analytics
London
£110000 - £160000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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HEAD OF ANALYTICS
£110,000-£160,000 + BONUS + BENEFITS
LONDON (HYBRID)
THE COMPANY
This is a fantastic opportunity within a well-backed financial services business undergoing a major transformation across analytics, decisioning, and AI. The company is investing heavily in modern data infrastructure and advanced analytics to drive better customer and commercial outcomes, with strong C-suite backing and clear growth plans.
THE ROLE
As Head of Analytics Shared Services, you will lead a centralised Analytics & MI function operating across the business. This is a highly visible role combining strategy and hands-on delivery, with a strong focus on driving insight, embedding AI, and improving decision-making.
Key responsibilities include:
- Leading and developing a central analytics function, including managers and analysts
- Driving the shift from reporting to actionable, insight-led analytics
- Embedding AI tools into workflows to improve efficiency and impact
- Overseeing development of scalable datasets and automated reporting
- Leading migration and governance of a new decision engine
- Managing stakeholder demands across marketing, finance, and leadership
- Acting as a senior influencer across the organisation
YOUR SKILLS AND EXPERIENCE
- Proven experience leading Analytics or MI teams in complex environments
- Strong track record of delivering actionable commercial insight
- Experience influencing senior stakeholders, including C-suite
- Hands-on technical skills (SQL essential, Python preferred)
- Experience with modern data stacks (e.g. Snowflake, Power BI)
- Strong understanding of AI tools and their commercial application
- Ability to drive change, improve processes, and deliver at pace
BENEFITS
The successful candidate will receive a salary between £110,000 and £160,000, plus bonus and a strong benefits package. This is a unique opportunity to shape an AI-enabled analytics function and play a key role in business transformation with high visibility across senior leadership.
HOW TO APPLY
Please register your interest by sending your CV to Dylan Butcher via the Apply link on this page.
To Apply for this Job Click Here
Senior Data Scientist
England
£60000 - £75000
+ Data Science & AI
PermanentEngland
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Senior Data Scientist
London or Leicester, hybrid working, £60,000 to £75,000 plus bonus
If you enjoy solving complex, open ended problems and want your models to directly influence real world decisions, this role stands out. You will work in a highly analytical environment where data science is central to pricing strategy, with the freedom to experiment, challenge assumptions, and build genuinely innovative solutions.
The Company
They are a large, digitally focused organisation operating in a consumer market rich with data and complexity. Analytics and data science sit at the heart of how the business assesses risk, prices products, and drives sustainable growth. Significant ongoing investment in technology and cloud infrastructure means data teams are well supported to innovate and deliver impact at scale.
The Role
- Build and improve predictive models that shape pricing and customer selection strategies.
- Work with large, messy datasets to uncover insight and improve commercial outcomes.
- Develop and iterate on advanced machine learning models, including gradient boosting approaches.
- Explore alternative and novel data sources, including geospatial style data, to enhance pricing accuracy.
- Take ownership of models from early exploration through to deployment and iteration.
- Collaborate closely with stakeholders across pricing, analytics, and engineering.
- Support and mentor junior colleagues, contributing to a strong team culture.
Your Skills & Experience
- Strong commercial experience in data science or applied machine learning.
- Demonstrable experience building predictive models used in pricing, risk, or customer decisioning.
- Confidence working end to end across the modelling lifecycle, from problem definition to deployment.
- Strong Python and SQL skills, with experience working in cloud based environments.
- Ability to communicate modelling approaches and results clearly to non technical stakeholders.
- A curious mindset with an interest in improving pricing accuracy through data and innovation.
What They Offer
- Salary between £60,000 and £75,000.
- Additional cash bonus on top of base salary.
- Hybrid working with one day per week in the office.
- Exposure to highly visible, business critical modelling work.
- Strong progression and development opportunities within an established data science function.
How to Apply
Apply now to explore how this Senior Data Scientist role could be the next step in your career.
To Apply for this Job Click Here
Lead AI Engineer
London
£80000 - £85000
+ Data Science & AI
PermanentLondon
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Lead AI Engineer
London hybrid, £80,000 to £85,000 base plus bonus and benefits
This is a role for someone who wants real ownership and influence. You will join a growing internal AI function at a point where direction, structure, and best practice genuinely matter. If you enjoy being hands-on while shaping how AI is used across a business, this role offers the space to make a visible impact.
The Company
They are a well-established organisation operating at scale across the UK, working with both public sector and commercial partners. Technology sits at the centre of their strategy, with a clear focus on using data and AI to improve how teams work internally. Their AI capability is evolving, with senior backing and a clear appetite to move from experimentation to mature, production-ready solutions.
The Role
You will be a senior technical voice within an AI enablement team, working closely with a Head of AI and a Product Owner to turn business needs into practical AI products.
- Design, build, and deploy internal AI-powered applications used across the organisation
- Lead development of conversational AI and automation tools that support complex business processes
- Define and evolve the LLM architecture and tooling, building on existing OpenAI usage
- Translate loosely defined problems into clear, scalable technical solutions
- Partner with product and business stakeholders to prioritise high-impact use cases
- Set engineering standards, guide best practice, and support the development of other engineers
- Own solutions end to end, from design through to deployment, monitoring, and iteration
Your Skills & Experience
- Strong commercial experience as a software engineer, with software engineering fundamentals at the core of your background
- Advanced Python development skills and experience building backend services and APIs
- Proven experience integrating AI or LLM-based services into production systems
- Cloud-native development experience, ideally within Azure environments
- Solid understanding of system design, CI/CD pipelines, DevOps practices, and production reliability
- Confidence influencing technical direction and bringing structure to less mature environments
- A practical mindset focused on building robust software that delivers real business impact
What They Offer
- Salary between £80,000 and £85,000 plus a performance-related bonus
- Employer pension contribution up to 8 percent
- Hybrid working model with regular collaboration in the London office
- A comprehensive benefits package including healthcare support and enhanced family policies
- The opportunity to shape and mature an internal AI function with long-term impact
How to Apply
If you are looking for Lead AI Engineer role where you can combine hands-on delivery with real influence, apply with your CV to learn more about this opportunity.
To Apply for this Job Click Here
Lead Data Scientist
Pittsburgh
$175000 - $200000
+ Data Science & AI
PermanentPittsburgh, Pennsylvania
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Lead Data Scientist
$175,000- $200,000
Pittsburgh, PA (Onsite)
THE ORGANISATION
A discreet, high‑growth technology group is expanding its advanced analytics and AI leadership capabilities. The organisation operates in a deeply complex environment where modelling, optimisation, and intelligent decision systems play a central role. They are investing heavily in next‑generation platforms that blend predictive modelling, simulation, and large‑scale automation to influence critical strategic choices.
THE ROLE
This is a senior technical and leadership role responsible for architecting sophisticated simulation, optimisation, and decision‑intelligence systems. You will guide the vision, design, and delivery of large‑scale AI solutions, combining hands‑on expertise with strategic leadership.
Your remit spans the development of system‑level simulations, optimisation engines, and complex modelling frameworks that support high‑impact decision workflows. You will define long‑range technical direction, lead major AI initiatives end‑to‑end, and mentor a highly skilled team of Data Scientists and AI Engineers.
This is a position for someone who thrives in ambiguity, enjoys solving multi‑variable, system‑level challenges, and brings strong conceptual and practical knowledge of advanced modelling.
KEY RESPONSIBILITIES
- Lead the architecture, design, and deployment of advanced simulation and optimisation platforms
- Build multi‑modal modelling systems incorporating predictive analytics, stochastic simulation, and strategic optimisation workflows
- Define the long‑term technical roadmap for modelling and decision‑intelligence initiatives
- Oversee large‑scale AI projects from initial scoping through to production launch
- Act as the senior technical authority on simulation, optimisation, and model strategy
- Develop scalable frameworks that support complex capability modelling and scenario analysis
- Lead the development of platform components that integrate simulation, optimisation, predictive modelling, and decision logic
- Mentor senior technical team members, raising the standard across modelling, experimentation, and delivery
- Establish modelling best practices, evaluation standards, and robust experimentation workflows
- Partner with cross‑functional teams to convert abstract, open‑ended challenges into concrete technical solutions
- Bring emerging research and methodologies (simulation techniques, optimisation methods, advanced model reasoning, etc.) into production systems
- Communicate modelling strategy, risk, and value clearly to both technical and non‑technical stakeholders
WHAT YOU BRING
- 7+ years of applied Data Science or similar experience in complex modelling domains
- Deep experience with simulation methodologies (e.g. discrete‑event, agent‑based, Monte‑Carlo, or similar approaches)
- Strong understanding of stochastic optimisation, Bayesian optimisation, and advanced mathematical modelling techniques
- Ability to design, evaluate, and scale large‑scale modelling systems and optimisation pipelines
- Strong Python engineering foundations and experience delivering production‑ready AI/ML systems
- Experience leading full lifecycle AI/DS projects, from ideation to deployment
- Proven track record of working with large datasets, complex modelling environments, and multi‑component systems
- Ability to mentor senior‑level technical staff and influence high‑level decision‑making
- Comfortable operating in a high‑autonomy, high‑ownership environment
DESIRABLE EXPERIENCE
- Experience with causal modelling, decision science, or structural modelling frameworks
- Experience with complex system evaluation, simulation benchmarking, or modelling validation
- Background in scaling AI/ML or optimisation systems across cloud environments
- Experience converting experimental prototypes into robust, enterprise‑ready solutions
- Strong publication or research contributions in modelling, optimisation, or related fields
THE OFFER
- Competitive Base Salary
- Opportunity to architect foundational modelling and optimisation systems for a major technology programme
- Significant autonomy and technical ownership
- Ability to shape modelling strategy, culture, and long‑term system design
- Work within a deeply technical team solving highly complex, meaningful challenges
To Apply for this Job Click Here
Lead AI Engineer
Pittsburgh
$175000 - $200000
+ Data Science & AI
PermanentPittsburgh, Pennsylvania
To Apply for this Job Click Here
Lead AI Engineer
$200,000
Location: Pittsburgh, PA (Onsite)
THE COMPANY
A high‑growth, mission‑driven technology organisation is expanding its advanced AI function. The team specialises in building intelligent autonomous systems designed to operate across complex workflows and high‑stakes environments. Engineers here work on cutting‑edge agentic technologies with significant ownership and impact.
THE ROLE
As the Lead AI Engineer, you’ll guide a specialised engineering team responsible for designing, building, and deploying next‑generation agentic AI systems. You will lead technical strategy, architecture decisions, and hands‑on development, while also mentoring engineers and driving best‑in‑class standards for performance, reliability, and scalability.
You’ll oversee the development of agents capable of long‑horizon planning, tool‑use, memory, and coordination across multi‑agent environments, ensuring they can operate effectively in real‑world mission‑critical settings.
KEY RESPONSIBILITIES
- Lead the design and development of agentic AI systems from conception through production
- Architect multi‑agent systems with planning, routing, memory, and complex tool‑use
- Build modular “skills” and components that plug into backend systems and data pipelines
- Establish evaluation frameworks, telemetry systems, and observability tools for agent behaviour
- Guide Agile processes, technical planning, and day‑to‑day engineering execution
- Partner with product and delivery teams to solve complex operational challenges
- Provide mentorship and technical leadership to engineers and data scientists
EXPERIENCE REQUIRED
- Several years of experience building and deploying ML or LLM‑powered systems in production
- Experience leading or mentoring engineering teams
- Demonstrated expertise in LLM integration and agentic system development
- Strong Python engineering skills
- Hands‑on experience with cloud infrastructure (AWS preferred)
- Familiarity with LLM algorithms, scaling patterns, and system reliability
- Ability to operate autonomously in high‑pace, ambiguous environments
- Comfortable with Git and modern engineering workflows
DESIRABLE EXPERIENCE
- Experience designing or deploying complex multi‑agent architectures
- Exposure to startup or high‑growth engineering cultures
- Experience with GenAI coding tools or best practices for agentic systems
- Eligibility to work in secure or sensitive environments
THE OFFER
- Ownership over next‑generation agentic AI strategy and architecture
- Opportunity to lead a high‑impact engineering team
- Work with cutting‑edge LLM and agentic technologies
- Fast‑paced environment with strong technical autonomy
