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.

Latest Episodes

Data and ai podcast: All Episodes

Dive deep into the world of AI, data, and analytics

Episode 22: Bridging the Data Skills Gap – How to Upskill and Build Analytics Culture

Episode 21: GenAI breakthroughs, roadblocks and what to learn next

Episode 20: How Incrementality and MMM Are Changing Marketing Analytics

Episode 19: How AI Innovation & Hiring Are Evolving Hand in Hand

Exclusive! Harnham to 15,000: The Shift to Personalisation

Episode 18: Beyond the Numbers: Humanising Your Customer Data

Episode 17: Bridging the Consumer Experience Gap: What Brands Get Wrong

Episode 16: The Past, Present, and Future of Experimentation

Episode 15: Utilising Data for Market Fit

Episode 14: Geospatial Analytics – Past, Present and Future

Episode 13: Democratising Data

Episode 12: How to Build and Retain High-Performing Analytics Teams

Episode 11: Leading with a People-First Approach: Navigating Growth in Data and AI

Episode 10: From Payday Lending to AI: Navigating the Credit Risk Landscape

Episode 9: The State and Future of AI

Episode 8: The Next Data Wave: Emerging Trends in Data Management and Governance

Episode 7: Futurecast: Skillsets, Decisions, and the Role of AI

Episode 6: Getting Into the Data Industry Without a STEM Degree

Episode 5: Diversity Equity & Inclusion – How Data Leaders Can Take Action

Episode 4 – Key Findings from Harnham’s 2023 US Data & AI Salary Guide

Episode 3: Key Findings from Harnham’s 2023 UK Data & AI Salary Guide

Episode 2 – Data Literacy (with Waseem Ali & David Reed)

Episode 1 – Quantifying the Benefit of Data (with Waseem Ali & Craig Civil)

Data Recruitment & AI Talent Solutions

JOIN THE HARNHAM TEAM

LATEST HARNHAM
OPPORTUNITIES

Welcome to a recruitment journey like no other. At Harnham, we're always interested in finding the right people to join our team.

 

Principal Data Scientist

$190000 - $210000

+ Data Science & AI

Permanent
USA

To Apply for this Job Click Here

About the Role

We’re looking for a Principal Data Scientist to lead the development of AI-powered products that transform how students and educators experience learning. You’ll work at the intersection of generative AI, personalization, and educational content, building systems that adapt to individual learners at scale. This is a high-visibility, hands-on role where your work directly shapes product direction and student outcomes.

What You’ll Do

  • Design and build AI/ML systems for personalization and content generation across education products

  • Architect end-to-end machine learning pipelines, from data ingestion to model deployment and monitoring

  • Lead the implementation of GenAI solutions, ensuring responsible use through AI guardrails and safety frameworks

  • Partner cross-functionally with product, engineering, and curriculum teams to translate learning science needs into scalable AI solutions

  • Drive MLOps best practices including CI/CD for models, experiment tracking, and production monitoring

  • Mentor and technically guide junior data scientists and ML engineers across the org

What We’re Looking For

  • PhD in Statistics, Mathematics, Computer Science, or another quantitative field

  • 5+ years of professional data science experience outside of a PhD program

  • Strong hands-on Python and SQL skills – you’re comfortable writing production-grade code

  • Experience with Databricks (or equivalent distributed compute platforms) and AWS (or comparable cloud infrastructure)

  • Demonstrated experience with generative AI, ideally applied to personalization or recommendation problems

  • Familiarity with AI guardrail frameworks and responsible AI practices

  • Solid MLOps experience: model versioning, deployment pipelines, monitoring, and retraining workflows

  • Strong system design ability – you can architect solutions that scale and communicate those designs clearly to stakeholders

Nice to Have

  • Experience in edtech, consumer personalization, or content generation platforms

  • Familiarity with LLM fine-tuning, RAG architectures, or prompt engineering at scale

  • Background in learning science, adaptive learning systems, or curriculum design

To Apply for this Job Click Here

Product Analyst

London

£55000 - £65000

+ Advanced Analytics & Marketing Insights

Permanent
London

To Apply for this Job Click Here

Product Analyst
London – Hybrid (3/4 days a week in office)
Up to £65,000

We’re hiring a Product Analyst to join a fast-growing B2B2C tech business powering on-device digital experiences for mobile operators-reaching millions of users and billions of impressions every month.

You’ll join a high-impact Product Analytics team, working closely with senior stakeholders to deep-dive into product performance, uncover insights, and drive experimentation. This is a hands-on role where you’ll spot opportunities, investigate anomalies, and help scale A/B testing capabilities.

What you’ll be doing:

  • Deep-dive analysis of product features and performance
  • Lead and evaluate A/B tests and experimentation
  • Identify trends, issues, and opportunities within large datasets
  • Collaborate with product teams to optimise user experience

What we’re looking for:

  • Strong SQL and Looker experience
  • Background in Product Analytics and experimentation (A/B testing)
  • Python (preferred) and DBT (nice to have)
  • Excellent communication skills and a proactive mindset

How to Apply:

If you are a Product Analyst who is looking to make an impact in a product focused and data driven enviroment, apply now to reveal more.

To Apply for this Job Click Here

MLOps Engineer

London

£550 - £650

+ Data Science & AI

Contract
London

To Apply for this Job Click Here

MLOps Platform Manager (Databricks)
London

Rate: £550-£650 Outside IR35 Per Day

The Company
They are a large, complex organisation with a strong focus on data, analytics and AI to support business critical decision making. The business operates at enterprise scale, with a mature data platform estate and a growing demand for robust, well governed MLOps capabilities. Collaboration, operational excellence and responsible use of data and AI sit at the heart of how they work.

The Role and Deliverables

  • Own the day to day operation of the Databricks platform and associated MLOps services, ensuring availability, performance and stability.
  • Establish and run service management processes including incident, problem and change management, with clear documentation and escalation paths.
  • Define and deliver standardised MLOps patterns covering model development, deployment, monitoring and lifecycle governance.
  • Lead platform releases and upgrades, including planning, testing and communication to stakeholders.
  • Implement and maintain security, risk and compliance controls across data and machine learning workloads.
  • Manage platform roadmap, cost optimisation and supplier relationships to maximise value and developer experience.

Your Skills and Experience

  • Strong experience operating Databricks in production, including workspace administration, cluster policies, jobs and data governance controls.
  • Proven capability delivering MLOps practices end to end, from CI/CD and automation through to model monitoring and observability.
  • Experience owning platform operations and service management in a complex, enterprise environment.
  • Confidence working with security, risk and governance stakeholders to evidence controls and support audits.
  • Ability to engage and influence across data engineering, data science and analytics teams, balancing speed, cost and risk.

How to Apply
If this contract sounds like a good fit for your experience and interests, please apply to find out more.

To Apply for this Job Click Here

Product Analyst

City of London

£60000 - £65000

+ Advanced Analytics & Marketing Insights

Permanent
City of London, London

To Apply for this Job Click Here


Product Analyst

Up to £65,000

London – Aldgate East

Hybrid – 3 to 4 days in office


OVERVIEW

Are you a naturally curious analyst who wants to go beyond dashboards and actually shape how a product evolves? This is your chance to join a high-impact data team at a fast-growing tech business whose digital products reach millions of users every month.


THE COMPANY

This innovative B2B2C tech business builds on-device content tools for major mobile network operators, with digital products that drive billions of impressions monthly. As they scale rapidly, data and experimentation sit at the heart of every product decision they make.


THE ROLE

As a Product Analyst you will own the analytical process behind product decisions, digging deep into performance data and scaling the business’s experimentation capability.

Specifically, you can expect to be involved in the following:

  • Conducting deep-dive analytics investigations into product and feature performance, identifying anomalies and surfacing actionable insights
  • Designing and evaluating A/B tests and experiments to assess the impact of product feature changes
  • Working across SQL and Looker to build and maintain robust reporting
  • Collaborating closely with the Head of Data and two Senior Product Analysts to prioritise and deliver analytical work

SKILLS AND EXPERIENCE

The successful Product Analyst will have the following skills and experience:

  • Strong SQL and Looker skills
  • Solid A/B testing and experimentation experience
  • A product analytics background from a fast-paced, consumer-facing environment
  • Python experience (ideally)
  • Excellent communication skills – able to translate complex findings for non-technical stakeholders
  • dbt experience is a bonus

To Apply for this Job Click Here

ML Platform Engineer

£550 - £650

+ Data Science & AI

Contract
England

To Apply for this Job Click Here

MLOps Platform Manager (Databricks)
£550 – £650 Outside IR35
Remote

The Company
They are a large, complex organisation with a strong focus on data-driven decision making and responsible use of analytics and AI. The business operates at enterprise scale, with multiple delivery teams relying on a shared data and ML platform. There is a clear commitment to governance, security, and operational excellence, balanced with enabling innovation. The environment is collaborative, with close alignment between data engineering, data science, platform, security, and governance functions.
The Role and Deliverables

  • Own the day-to-day operation of the Databricks platform and associated MLOps services, ensuring reliability, performance, and a strong developer experience.
  • Establish and run service management processes including incident, change, and release management for platform services.
  • Define and embed standardised MLOps patterns covering model build, deployment, monitoring, and lifecycle governance.
  • Lead platform releases and upgrades, including Databricks Runtime changes, with clear testing, communication, and rollback plans.
  • Implement robust monitoring and observability for production models, including performance, drift, and data quality.
  • Drive improvements in platform cost management, documentation, and operational controls.

Your Skills & Experience

  • Strong experience operating Databricks in a production, enterprise environment, including workspace administration, access controls, and platform governance.
  • Proven capability in establishing and running MLOps practices across the full model lifecycle in live environments.
  • Solid background in platform operations, service management, and incident leadership for critical data services.
  • Experience working closely with security, risk, and compliance stakeholders to evidence controls for data and AI platforms.
  • Ability to engage and influence data engineering, data science, and senior stakeholders, translating business needs into platform priorities.
  • Hands-on understanding of cloud-based data platforms and cost optimisation approaches.

How to Apply
Apply now to discuss this freelance MLOps Platform Manager opportunity and how your Databricks and MLOps expertise can make an immediate impact.

To Apply for this Job Click Here

Senior Software Engineer – AI

Dallas

$60 - $70

+ Data Science & AI

Contract
Dallas, Texas

To Apply for this Job Click Here

Senior Software Engineer – AI

Harnham is partnering with an enterprise organisation to hire a Senior Software Engineer (AI) on a contract basis. This role focuses on building and shipping production AI features powered by LLMs into real business applications.

  • Contract Role
  • Location: Dallas, TX (Hybrid – 2-3 days onsite)
  • Rate: $60-$70 per hour W2 only
  • Hours: Full‑time (40/week)
  • Work Authorization: U.S. only (no sponsorship)

The Role

You’ll design backend services and APIs that integrate large language models into production systems. This is a hands‑on engineering role, not research-focused on reliability, scalability, and real‑world usage.

Key Responsibilities

  • Build and deploy AI‑powered backend services
  • Develop LLM features using RAG
  • Design scalable APIs and microservices
  • Own features end‑to‑end: build, deploy, monitor, improve
  • Optimise AI latency, quality, and cost

Requirements

  • 6+ years of software engineering experience
  • Strong backend skills (Python, Java, or similar)
  • Experience integrating LLMs / AI APIs into production
  • Solid RAG and cloud deployment experience (AWS, Azure)

Next Steps

If interested, please apply below or contact Ciarán Brown to discuss more

To Apply for this Job Click Here

AI Automation Engineer

City of London

£80000 - £100000

+ Data Science & AI

Permanent
City of London, London

To Apply for this Job Click Here

12 Month FTC Applied Automation Engineer
London, Goodge Street | £80,000 to £100,000
This is a rare opportunity to join a lean, high trust investment organisation at a pivotal moment. They are building a fully automated reporting and calculation platform from the ground up, replacing long standing manual processes with a modern, scalable solution. You will have clear ownership, real influence, and the chance to deliver a system that will shape how the business operates for years to come.
The Company
They are a well established investment firm operating in the alternative investment space, with a long term track record and a global client base. The business is intentionally small and flat, with direct access to senior leadership and a culture built on trust, low ego and accountability. Based in a modern London office, they combine institutional standards with the pace and autonomy of a specialist team.
The Role

  • Own the end to end delivery of an automated reporting and calculation platform, from design through to production.
  • Automate the ingestion of data from a wide range of structured and unstructured sources including APIs, files and external partners.
  • Design and implement robust data workflows and SQL based data structures to support complex financial calculations.
  • Build reliable, auditable systems that significantly reduce manual intervention in NAV and LAV processes.
  • Work closely with the Head of Data Science, the founder and technical and non technical stakeholders across the business.
  • Lay the foundations for future AI and agent based automation as the platform evolves.

Your Skills and Experience

  • Strong commercial experience building production grade systems using Python and SQL.
  • Excellent problem solving skills with a logical and mathematical mindset.
  • Experience integrating multiple data sources and APIs into cohesive workflows.
  • Exposure to CI/CD, version control and modern engineering best practice.
  • Confidence owning ambiguous, high impact projects end to end.
  • Any exposure to financial services, automation of legacy processes, FastAPI or AI driven systems is a bonus but not essential.

What They Offer

  • A 12 month fixed term contract with a high likelihood of extension or conversion to permanent.
  • Hybrid working model with three days in the office after an initial onboarding period.
  • The chance to make a visible, lasting impact in a small, trusted team.

How to Apply
Apply now to learn more about this Applied Automation Engineer opportunity and discuss whether it could be the right next step for you.

To Apply for this Job Click Here

Senior Data Analyst – Players

Watford

£80000 - £95000

+ Advanced Analytics & Marketing Insights

Permanent
Watford, Hertfordshire

To Apply for this Job Click Here

Senior Data Analyst, Players
Hertfordshire| £80,000 to £95,000 base plus bonus | Hybrid, 3 days in office

This is a rare opportunity to step into a highly influential analytics role where insight directly shapes commercial strategy. You will operate at pace, work through ambiguity, and partner closely with senior leaders to solve some of the most complex and high impact player challenges in a regulated consumer environment.

The Company
They are a large scale, consumer facing organisation operating in a highly regulated market with a strong social purpose at its core. Data and analytics sit at the heart of decision making, with leadership actively championing a data led culture. Marketing and digital are major investment areas, supported by one of the largest and most sophisticated data estates in the UK.

The Role

  • Sit within a central Player Analytics team supporting digital, marketing, CRM and wider commercial initiatives
  • Lead ad hoc deep dive analysis to uncover player behaviour, commercial opportunities and risks
  • Partner with senior stakeholders to shape decisions around product launches, digital optimisation and innovation
  • Build commercial models to assess upside, cannibalisation and portfolio level impact
  • Evaluate new game mechanics and incentive structures, including financial impact and responsible play considerations
  • Design and analyse test and learn activity, measuring uplift and unintended consequences
  • Act as a trusted thought partner, anticipating questions and challenging assumptions with confidence

Your Skills and Experience

  • Strong commercial analytics experience in a fast paced, consumer or digital environment
  • Advanced SQL skills, with experience working in modern cloud data warehouses
  • Hands on experience with Python and or R for advanced analysis such as segmentation, cohorting or clustering
  • Confidence working with ambiguity and rapidly shifting priorities
  • Ability to clearly articulate complex insights to senior, non technical stakeholders
  • Exposure to regulated industries and an understanding of responsible customer engagement is highly valued

What They Offer

  • Salary of £80,000 to £95,000 base plus a strong bonus structure with upside
  • Hybrid working pattern with three days per week in the Watford office
  • High trust, high autonomy role with direct exposure to senior decision makers
  • The chance to work on high impact projects with genuine social value
  • Excellent scope for professional growth in a data led organisation

How to Apply
Apply now to explore this opportunity further and discuss how your analytics expertise could make a real impact.

To Apply for this Job Click Here