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.

 

Platform Engineer

London

£500 - £650

+ Data Engineering

Contract
London

To Apply for this Job Click Here

Platform Engineer

£550 – £650 per day

Outside IR35

6 – months

Remote

Company

A well-established investment and asset management organisation is looking for a Platform Engineer to undertake a large-scale data transformation, building out a new cloud-native data platform to support decision-making across the business.

The firm is part-way through the development of a greenfield cloud data warehouse on Azure and Snowflake. The project has strong executive sponsorship and is being delivered in partnership with a specialist data architect. As the work progresses into its next phase, the business is hiring a Platform Engineer to join the build effort, with a particular focus on infrastructure, automation and pipeline orchestration.

This Platform Engineer will sit within the central finance and planning function and work closely with senior stakeholders, including programme sponsors and business leads.


Key responsibilities – Platform Engineer

  • Support the build and enhancement of a cloud-based data platform using Snowflake on Azure, working within an established technical framework.

  • Develop infrastructure components and manage deployment through infrastructure-as-code practices.

  • Collaborate with internal stakeholders to ensure the data platform design supports evolving business needs in a scalable and maintainable way.

  • Implement and maintain data pipelines, validation logic, and quality assurance processes.

  • Contribute to platform documentation and technical standards.

  • There is potential for future responsibility in mentoring or overseeing junior team members.


Required experience

  • Hands-on experience working with Snowflake, including schema development and data pipeline integration.

  • Familiarity with Azure services, including resource provisioning and identity setup.

  • Experience using Terraform for infrastructure deployment (ideally with cloud data services).

  • Strong working knowledge of Python, SQL, Git, and general data engineering best practices.

Additional desirable skills

  • Familiarity with CI/CD tooling, particularly Azure DevOps (or equivalents).

  • Exposure to workflow automation platforms.

  • Prior experience on early-stage or greenfield data platform projects.

  • Team leadership or mentoring exposure.


This is an opportunity to work on a strategically important programme with significant scope for technical input and ownership. The role offers exposure to cloud architecture, data engineering, and automation within a small but growing team.

If you’re interested, please send your CV

To Apply for this Job Click Here

Fabric Data Engineer

London

£575 - £625

+ Data Engineering

Contract
London

To Apply for this Job Click Here

FABRIC DATA ENGINEER

8-MONTHS

£575-£625 PER DAY (INSIDE IR35)

This is a fantastic opportunity for a Data Engineer with Azure Fabric experience to contribute to a high-velocity organisation delivering cutting-edge data transformation projects. You’ll take on a central role in building scalable, cloud-native pipelines and supporting reliable data flows across the business. This environment fosters autonomy, technical input, and exposure to modern data engineering approaches across a hybrid cloud ecosystem.


THE COMPANY
This global company operates in a dynamic, insights-driven industry, where data plays a critical role in shaping operations, customer intelligence, and strategic direction. The business is investing in a major infrastructure upgrade, shifting to Azure Fabric as part of its mission to modernise data delivery, enhance speed-to-insight, and unlock advanced analytics capabilities across international teams.


THE ROLE
As part of a forward-thinking engineering team, you’ll contribute to the development of a robust data platform that supports both near-term reporting needs and longer-term transformation goals. You’ll work on cloud migration efforts, streamline data access, and support cross-functional users with reliable, well-engineered solutions.

You’ll be responsible for:

  • Designing and deploying efficient, resilient data pipelines within Azure Fabric

  • Enabling the migration of data from legacy systems and cloud services into the new Azure-based architecture

  • Working with technical and non-technical stakeholders to ensure data accuracy, completeness, and availability

  • Embedding automation and observability into workflows to enhance system stability and performance

  • Supporting both business-as-usual and greenfield data initiatives as part of an agile, collaborative team


KEY SKILLS & REQUIREMENTS

  • Strong experience with Python and SQL for data processing and transformation

  • Solid understanding of Azure data services, with practical experience in Azure Fabric

  • Knowledge of data streaming tools and real-time processing patterns

  • Familiarity with DevOps best practices, version control, and continuous integration pipelines

  • Excellent communication skills and the ability to operate effectively in a cross-functional environment


HOW TO APPLY
If you’re interested in joining a forward-thinking organisation at a pivotal point in its cloud journey, please apply via the link on this page with your up-to-date CV.

To Apply for this Job Click Here

Data Scientist – Client facing

Amsterdam

€70000 - €71000

+ Data Science & AI

Permanent
Amsterdam, North Holland

To Apply for this Job Click Here

Job Title: Client-Facing Data Scientist (Marketing & Market Mix Modelling)

Location: Netherlands / Belgium / Hybrid
Language Requirement: Fluent Dutch & English

About the Role

The company is seeking a Dutch-speaking, client-facing Data Scientist to join its growing analytics team. This role focuses on delivering data-driven insights for commercial and marketing stakeholders, with a strong emphasis on marketing analytics and Market Mix Modelling (MMM).

The successful candidate will act as a trusted advisor to clients, translating complex analytical outputs into clear, actionable recommendations that inform marketing strategy, budget allocation, and overall business performance.

Key Responsibilities

  • Develop, maintain, and improve Market Mix Models to measure marketing effectiveness across channels

  • Work directly with clients to understand business challenges and define analytical approaches

  • Translate model results into clear insights and recommendations for non-technical stakeholders

  • Present findings to marketing teams, commercial leaders, and senior stakeholders

  • Analyse marketing data including media spend, sales, pricing, promotions, and external factors

  • Collaborate with internal data science, engineering, and consulting teams

  • Support scenario planning, forecasting, and optimisation of marketing budgets

Required Skills & Experience

  • Strong academic or professional background in data science, statistics, econometrics, or a related field

  • Proven experience in Market Mix Modelling or advanced marketing analytics

  • Proficiency in Python and/or R (SQL experience is an advantage)

  • Solid understanding of marketing channels (digital and offline)

  • Ability to communicate complex analytical concepts clearly and confidently

  • Fluent Dutch, both written and spoken, with professional-level English

  • Experience in a client-facing or stakeholder-facing role

Nice to Have

  • Experience in consulting, analytics advisory, or agency environments

  • Knowledge of causal inference, time-series modelling, or Bayesian approaches

  • Experience with data visualisation tools such as Tableau or Power BI

  • Experience working with large and complex marketing datasets

What the Company Offers

  • Exposure to high-impact marketing and commercial projects

  • Regular interaction with senior client stakeholders

  • A collaborative, analytics-led working environment

  • Competitive salary and benefits

  • Flexible and hybrid working arrangements

To Apply for this Job Click Here

Research Manager (Data Services)

London

£45000 - £55000

+ Advanced Analytics & Marketing Insights

Permanent
London

To Apply for this Job Click Here

Research Manager (Data Services)
London, £45,000 to £55,000
This is an exciting opportunity to step into a high‑impact Research Manager role where you will shape end‑to‑end quantitative projects, partner closely with clients, and help define best practice within a growing data‑driven research function. If you are looking for greater ownership, autonomy, and the chance to work with innovative research technology, this role stands out.
The Company
They are a fast‑growing insights organisation using advanced technology to help clients understand audiences with greater accuracy and speed. Their teams blend research expertise with modern data tools, delivering impactful work across a broad range of sectors. As part of their continued growth, they are expanding their research capability and investing heavily in talent. You will join a collaborative environment where curiosity, quality, and client success are central to how they operate.
The Role
You will lead Data Services client accounts and deliver high‑quality quantitative research through their proprietary platform. Your responsibilities will include:
* Managing and owning client relationships, acting as a trusted partner throughout each project.
* Scoping, designing, and delivering quantitative studies from initial brief to final outputs.
* Leading client calls, sharing updates, and presenting findings clearly and confidently.
* Creating data tables and custom outputs using tools such as DisplayR.
* Partnering with consulting and analytics teams on larger insight programmes.
* Coaching and supporting researchers within the team.
* Identifying opportunities to improve processes, standards, and ways of working.
Your Skills and Experience
You will thrive here if you bring strong quantitative research capabilities and a proactive, solutions‑focused mindset. You should have:
* Strong commercial experience delivering quantitative market research projects end‑to‑end.
* Proven ability to design and script surveys to a high standard.
* Confidence advising clients on sampling, survey design, and potential risks.
* Experience creating data outputs and ensuring exceptional data quality.
* A commercially aware approach, including providing quotes and supporting RFP responses.
* An interest in combining research expertise with modern research technology.
* Experience with DisplayR is beneficial but not essential.
What They Offer
* Salary between £45,000 and £55,000, depending on experience.
* A collaborative, high‑growth environment with genuine progression opportunities.
* The chance to build deep client relationships and own meaningful research programmes.
* Ongoing learning and development, including exposure to new methods and technologies.
* Predominantly office‑based working to support collaboration and team development.
How to Apply
If you are excited by the opportunity to lead impactful quantitative research in a modern, tech‑enabled environment, please apply today.

To Apply for this Job Click Here

Data Science Manager

Canada

$170000 - $220000

+ Data Science & AI

Permanent
Canada

To Apply for this Job Click Here

Data Science Manager
Location: Canada | EST Hours Required

Salary: $175-220k base + bonus

We’re partnering with a high-growth product company to hire a Data Science Manager to both ship production ML systems and build a high-performing team.

This is a true player-coach role: you’ll stay hands-on with modeling and system design while setting technical direction, hiring, and mentoring data scientists. The expectation is clear: deliver models that move retention, conversion, and revenue.

You’ll join a small, autonomous data science team with impact across Product, R&D, Finance, and GTM. The team builds customer-facing data products such as recommendation systems, churn models, and experimentation frameworks that influence how millions of users discover value.

It’s startup-level ownership with the scale and data of a large, active user base.

What You’ll Do

  • Design and ship recommendation engines, churn models, and experimentation infrastructure, staying hands-on in code as the team scales
  • Define success metrics, monitor production models, and iterate until business results improve
  • Hire, coach, and develop data scientists; set a high bar for ownership, craft, and impact
  • Partner closely with Product, R&D, Finance, and GTM to identify high-leverage problems and deliver adopted solutions
  • Make pragmatic decisions around tooling, architecture, and methodology, balancing speed with long-term maintainability

What We’re Looking For

  • 6+ years building and deploying consumer-facing ML systems in production
  • 2+ years leading or managing data scientists or ML engineers
  • Experience building teams, not just operating as an IC
  • Strong Python skills
  • Experience with Databricks or similar ML platforms
  • Comfort across the full ML lifecycle: experimentation, feature engineering, training, deployment, monitoring
  • Proven ability to translate ambiguous business problems into measurable ML outcomes
  • Strong bias toward shipping, iteration, and impact
  • Sound judgment on when to ship an MVP vs. invest in robustness
  • Actively uses AI tools to accelerate development and expects the same from their team

Nice to Have

  • Experience with experimentation platforms or causal inference
  • Background in subscription or SaaS businesses
  • Familiarity with TypeScript or production engineering practices

To Apply for this Job Click Here

AI Architect

City of London

£80000 - £100000

+ Data Science & AI

Permanent
City of London, London

To Apply for this Job Click Here

AI Architect

London- hybrid

Salary £90000 to £100000.

This is a senior opportunity to join a newly created AI team within a global consultancy that is investing heavily in next generation AI capabilities. You will lead the design of enterprise AI solutions, partner directly with clients, and shape the roadmap for AI adoption in a high impact environment.

The Company

They are an international digital transformation consultancy with a long standing reputation for delivering complex technology solutions. Operating at scale, they partner with organisations globally to modernise systems, introduce automation and deploy AI. They are building a dedicated capability to deliver AI solutions for clients within the audit domain, creating multiple senior and mid level roles.

The Role

* Lead the design of AI and ML architectures across large scale client engagements.

* Translate client requirements into practical, scalable AI solutions.

* Guide engineers on best practice, technical direction and solution implementation.

* Work with model families including GPT, Llama, Claude and Mistral.

* Engage directly with stakeholders to define challenges, shape transformation programmes and set solution strategy.

* Act as a technical leader within a newly established team and contribute to long term capability development.

Your Skills and Experience

* Strong commercial experience designing AI, ML or NLP solutions.

* Expertise in Python and modern ML/NLP practices.

* Hands on experience working with LLMs such as GPT, Llama, Claude or Mistral.

* Ability to communicate complex technical concepts clearly to both technical and non technical audiences.

* Experience guiding engineers or setting technical direction within AI solution delivery.

How to Apply

Please apply with your CV and a consultant will be in touch.

To Apply for this Job Click Here

AI Engineer

City of London

£80000 - £85000

+ Data Science & AI

Permanent
City of London, London

To Apply for this Job Click Here

AI Engineer

London, hybrid, three days onsite

Salary up to £85000.

This is an opportunity to join a newly built AI function within a global digital transformation consultancy. You will help shape innovative AI solutions for high profile clients while working alongside experienced architects and technical leaders in a team that is being heavily invested in.

The Company

They are an established global consultancy providing technology and data transformation services across a wide variety of industries. With operations spanning multiple continents, they partner with organisations to solve complex data challenges and to accelerate AI adoption. They are expanding a specialised team dedicated to delivering AI solutions for clients in the audit domain, with significant long term growth planned.

The Role

* Implement AI agent solutions designed by the architecture team.

* Build and deploy production grade models using Python, ML and NLP techniques.

* Work with modern LLMs including GPT, Llama, Claude and Mistral.

* Contribute to solution development while learning best practice from senior engineers and architects.

* Collaborate closely with client facing teams and technical leads as part of a multidisciplinary delivery function.

Your Skills and Experience

* Strong practical experience with Python for machine learning or NLP.

* Hands on exposure to modern LLMs and ability to work with models such as GPT, Llama, Claude or Mistral.

* Understanding of how to implement AI solutions rather than build foundational models.

* Ability to work collaboratively and contribute to end to end solution delivery.

What They Offer

* Salary up to 85000 depending on experience.

* Hybrid working, three days in the office.

* The chance to grow quickly in a newly established AI engineering capability.

* Access to industry leading expertise, tooling and enterprise scale AI projects.

How to Apply

Please apply with your CV and a consultant will be in touch.

To Apply for this Job Click Here

Analytics Manager

London

£100000 - £120000

+ Advanced Analytics & Marketing Insights

Permanent
London

To Apply for this Job Click Here

Analytics ManagerRemote – UK based

£100,000 to £120,000

This is an exciting opportunity to take ownership of customer and insight analytics within a data driven, fast paced business. You will shape how analytics is delivered, influence strategic decisions, and support high impact commercial teams.

The Company
They are a growing digital organisation operating in a complex, data rich environment. With strong investment in analytics and a modern technology approach, they are focused on building scalable processes that strengthen decision making across the business. You will join a collaborative team that partners closely with growth, marketing, and product stakeholders.

The Role
* Own company wide analytics processes and standards.
* Lead customer and insight analytics to support marketing and growth teams.
* Provide hands on technical expertise while offering guidance to others.
* Manage stakeholder expectations and deliver clear, actionable insights.

Your Skills and Experience
* Strong commercial experience in the gambling, gaming, or betting industry.
* Technically strong with SQL.
* Experience with Omni for BI is desirable.
* Proven ability to engage and influence stakeholders.

What They Offer
* £100000 to £120000 salary range.
* Flexible working and strong benefits package.
* Career progression within a scaling data function.

How to Apply
To apply, please contact River Steytler at

To Apply for this Job Click Here