Data & AI Video Hub
Explore Harnham’s collection of videos covering data, AI, analytics, and talent. Hear from industry experts, hiring leaders, and data professionals as they discuss building high-performing teams, hiring strategies, AI trends, and the future of data-driven organisations.
Latest Videos
What Success Looks Like in Data & AI
For today’s data leaders, success means confidence, simplicity, and long-term impact. With Harnham and Rockborne as one partner across the full spectrum of data and AI talent, businesses can reduce the complexity of juggling multiple suppliers and focus instead on building capability that lasts.
Lessons from 19,000+ placements and a partnership shaping the future of data talent
From Talent Provider to Data & AI Partner: Rockborne’s Evolution
As the market shifted and data leaders faced increasing pressure to deliver outcomes faster, with tighter budgets and higher visibility, business needs evolved. Instead of hiring talent, organisations now require complete, outcome-driven solutions.
Why Embedded Recruitment Wins for Data & AI Hiring | Harnham
When hiring is business-critical, traditional recruitment models often fall short. In this video, we explain why embedded recruitment is the most effective approach for scaling high-performing data and AI teams.
How to Build Data & AI Capability | Harnham x Rockborne’s Attract–Train–Deploy Mode
Every business faces unique challenges in building data and AI capability. That’s why Harnham and Rockborne start with one simple step: a conversation. From there, we shape the right approach together, guided by our proven Attract–Train–Deploy model.
Talent Transformation: Building Data Careers and Stronger Teams
Some of our proudest moments come from seeing Rockborne consultants, many from non-traditional backgrounds, grow into permanent roles, earn promotions, and even lead teams of their own. Their journeys prove how opportunity can transform both lives and industries. This impact extends to our client partnerships. In one organisation, Rockborne consultants, Harnham contractors, and permanent employees now collaborate side by side
Joining Forces for a Bigger Vision in Data & AI
Businesses needed a true partner who understood their challenges and could deliver lasting solutions. That vision sparked the creation of Rockborne: a consultancy that grew into a full-service partner, training, upskilling, and deploying diverse data specialists to close skills gaps and open data careers for people from all backgrounds.
Building Data & AI Talent: How Harnham and Rockborne Drive Transformation
From launching Rockborne as a training and development partner, to transforming how businesses think about data skills, Dave and Waseem share the vision, the impact, and the opportunities for organisations looking to stay ahead in a rapidly evolving market.
15,000 Placements Later: What We’ve Learned About the Global Data & AI Talent Market
Join Harnham co-founders Dave Farmer (Co-founder & CEO) and Simon (Co-founder & Chairman) for a candid and inspiring conversation celebrating 15,000 placements and nearly two decades in the data recruitment industry.
15,000 Placements Later: Co-Founders Dave and Simon
In this video, co -founders Dave Farmer (Co-founder & CEO) and Simon Clarke (Co-founder & Chairman) discuss a significant milestone in Harnham’s journey - 15,000 placements and nearly two decades of growth in the data and AI recruitment space.
15,000 Placements Later: Hear from Abby, the 15,000th placement
In this video, we speak to Abby Parker, the 15,000th person placed through Harnham Group - a data professional who entered the industry via our sister company, Rockborne.
What Makes a Great AI Recruiter?
In this video, we break down what separates great AI and data recruiters from the rest, and how companies can choose the right partner.
Short insights from Harnham experts answering the biggest questions in data and AI hiring
Data Leader Hiring Guide Insights
In this video, we break down the key insights from our Data Leader Hiring Guide, exploring what organisations should be looking for, how the role of data leadership is evolving, and what separates good from truly transformational hires.
Spotting High Potential Candidates
In this video, we explore what truly defines “high potential” — and why it goes far beyond experience, job titles, or technical ability. Hiring for potential rather than just proven performance can be a powerful competitive advantage.
The Skills Gap
In this video, we explore the growing conversation around the “skills gap” and what it really means for businesses trying to hire in a competitive market.
What we wish every hiring manager knew
In this video, we share the honest insights and recurring themes that can make or break a hiring process. From unclear briefs to unrealistic expectations, small misalignments can have a big impact on attracting and securing the right talent. We explore what hiring managers often underestimate, and how small shifts in approach can dramatically improve hiring outcomes
Why the US is losing out on top data talent
Is the US losing its grip on top data talent? In this video, we explore why some of the world’s best data professionals are increasingly looking beyond the US and what that means for businesses competing for elite talent.
What's changing in the US
In this video, we explore the key shifts shaping the US recruitment landscape, particularly across data, technology and leadership roles. From evolving candidate expectations to structural changes in how businesses hire and scale, the market is moving fast. Understanding these changes is critical for companies that want to stay competitive and attract the best talent.
Why We Don't Just Sent Any Candidate
In a competitive hiring market, volume is easy. Precision is harder. In this video, we explain why our approach isn’t about flooding inboxes with CVs — it’s about delivering carefully selected, high-impact candidates who truly fit the brief.
The Biggest AI Trends Right Now: LLMs, Agents & Trust
In this video, Tim Jonas (Business Manager at Harnham) shares the key trends shaping AI hiring and adoption today.
From 0 to AI Deployment in 4 Months
A pharmaceutical company had already invested heavily in an AI platform—and had just 4 months to implement it across the business. No delays. No budget resets. No second chances.
Data Recruitment & AI Talent Solutions
JOIN THE HARNHAM TEAM
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Welcome to a recruitment journey like no other. At Harnham, we're always interested in finding the right people to join our team.
Clinical Data Scientist
San Francisco
$160000 - $190000
+ Data Science & AI
PermanentSan Francisco, California
To Apply for this Job Click Here
Clinical Data Scientist
San Francisco, California
Remote
$160,000 – $190,000 + Equity
About the Company
This innovative health tech startup is working to improve the oncology drug development process by providing better patient data to drug developers as well as better access to clinical trials for patients. This series B startup is expending to meet demand.
About the Role
As a Clinical Data Scientist, you’ll execute the last leg of the clinical data pipeline by transforming, cleaning, validating, and delivering high‑quality clinical datasets for pharma partners. Heavy collaboration with Clinical Ops, AI Engineering, and Data Delivery.
Role Responsibilities
- Transform raw, abstracted, and AI‑processed data into CDISC SDTM/ADaM datasets
- Program statistical outputs (tables, listings, figures) in SAS/R/Python
- Investigate data anomalies across multiple messy data inputs
- Define data dictionaries and standards before study kickoff
- Handle data in a HIPAA‑aligned manner
Key Requirements
- 2-5 years in clinical data science, stat programming, or clinical data management
- Pharma/Biotech experience
- SAS, R, Python, SQL
- Real‑world clinical data or oncology trials
- CDISC SDTM/ADaM
To Apply for this Job Click Here
AI Engineer
San Francisco
$200000 - $220000
+ Life Science Analytics
PermanentSan Francisco, California
To Apply for this Job Click Here
AI Engineer
San Francisco, California
Remote
$200,000 – $220,000 + Equity
About the Company
This innovative health tech startup is working to improve the oncology drug development process by providing better patient data to drug developers as well as better access to clinical trials for patients. This series B startup is expending to meet demand.
About the Role
As an AI Engineer, you will design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable abstraction and clinical note generation-with repeatable validation, robust documentation, and HITL feedback loops. Heavy emphasis on data engineering and backend rigor to make models usable and efficient.
Role Responsibilities
- Build models and pipelines across EMR/EHR, imaging, clinical reports
- Translate ambiguous clinical requirements into measurable ML objectives
- Define metrics, design experiments, estimate error; review peer work
- Deliver validated AI components for abstraction/note generation; meaningfully reduce manual QA workload via HITL; standardize documentation/testing; establish performant data manipulation patterns (e.g., PySpark, SQL/Postgres) that speed iteration.
Key Requirements
- Python
- Pytorch or Tensorflow
- Data engineering: PySpark, SQL, Postgres, query tuning, data modeling
- Cloud data platforms (e.g., Databricks, S3/Snowflake/Azure/GCP)
- Nice to have experience in oncology/biotech/health tech
To Apply for this Job Click Here
Business Analyst
London
£480 - £550
+ Advanced Analytics & Marketing Insights
ContractLondon
To Apply for this Job Click Here
Location: London (1 day onsite, then 2 days per cycle)
Contract: 3 months
IR35: Outside
Rate: £480-£550 per day
Start: Up to 1 month notice max
Overview
This role sits within the FP&A function, supporting the build-out of a more robust and scalable reporting approach for strategic investment tracking. Alongside a new Finance Data Warehouse (FDW), the business needs a “bolt-on” solution to classify and report on investment activity, enabling accurate tracking of revenue, costs, and consultant utilisation for senior leadership, Board, and shareholders.
Key Responsibilities
* Gather and document requirements across FP&A, Finance, and Investments stakeholders
* Assess current reporting processes, data sources, and KPI definitions
* Define a tactical classification and data capture approach to support investment reporting
* Produce clear scoping documentation for the Finance Systems team (Phase 1)
* Develop detailed technical specifications covering data models, logic, and reporting outputs (Phase 2)
* Map data lineage, calculations, and dependencies in a clear, build-ready format
* Work closely with the Finance Systems team to support handover into development
Key Skills & Experience
* Strong experience in requirements gathering and stakeholder engagement
* Consultancy or finance-led environments preferred
* Experience working in complex, multi-source reporting environments
* Background in FP&A / finance environments (P&L, KPIs, variance analysis)
* Experience working with complex reporting stacks (Understanding of Alteryx and Power Query)
* Strong understanding of data modelling, data flows, and reporting logic
* Ability to translate business requirements into clear technical specifications
* Comfortable working autonomously in unstructured environments
* Coding experience beneficial but not essential
To Apply for this Job Click Here
Pricing & Promotion Analyst
£45000 - £51000
+ Advanced Analytics & Marketing Insights
PermanentStaffordshire
To Apply for this Job Click Here
Pricing & Promotion Analyst
£45,000 – £51,000
Hybrid – Staffordshire (2 days per week)
This is a commercially focused analytics role where your work will directly influence how promotional and pricing decisions are made. You will operate at the centre of marketing, finance and analytics, owning performance insight across high impact campaigns.
The Company
They are a well established consumer facing organisation operating at scale within a fast moving, multi site environment. The business is highly data driven, with a strong focus on understanding customer behaviour and commercial performance. Analytics is embedded across the organisation, supporting both strategic and day to day decision making. Collaboration across marketing, finance and insight teams is a core part of how they work.
The Role
You will focus on the design, evaluation and optimisation of promotional and discount activity, ensuring campaigns deliver against both financial and customer KPIs. Key responsibilities include:
- Designing and building promotional and discount campaigns in partnership with marketing and commercial teams
- Supporting campaign modelling alongside investment and analytics stakeholders, measuring performance against agreed KPIs
- Monitoring campaign performance and producing clear, actionable reporting
- Enhancing existing approaches to promotional analysis and performance measurement
- Working with large datasets using SQL within Databricks
- Delivering insight and dashboards through Power BI
- Engaging with cross functional stakeholders across marketing, insight and analytics teams
Your Skills and Experience
- Strong SQL capability, with experience working in Databricks or similar cloud data platforms
- Experience building reports and dashboards in Power BI
- Commercial experience analysing promotions, pricing or discount activity
- Confidence evaluating performance from both a financial and customer perspective
- Understanding of price elasticity and promotional effectiveness
- Background in marketing analytics, revenue growth management or financial analysis
- Comfortable working with a range of stakeholders and influencing decision making through insight
What They Offer
- Competitive salary and benefits package
- High visibility role with clear commercial impact
- Opportunity to work closely with senior stakeholders across marketing and finance
- Strong scope for development within a mature analytics environment
How to Apply
Apply now to find out more about this opportunity and how it could support the next step in your analytics career.
To Apply for this Job Click Here
Head of Data Strategy & Governance
London
£130000 - £160000
+ Data Management & Governance
PermanentLondon
To Apply for this Job Click Here
Head of Data Strategy & Governance
Central London – 2 days a week in office
Salary: £130,000 – £160,000
This is a senior data leadership role with genuine influence. You will take ownership of how data is governed, trusted and scaled across a fast-growing, technology-led financial services business. With data at the heart of decision-making, this role offers the opportunity to shape strategy, solve complex quality challenges, and build a robust operating model that supports long-term growth.
The Company
They are a technology-driven financial services organisation operating at the intersection of finance and data. Their platform brings together complex financial information to provide clients with a clear, holistic view of their finances and support better long-term decisions. The business has grown rapidly and continues to invest heavily in its data and technology capabilities. The culture is collaborative, delivery-focused, and values ownership and clarity.
The Role
As Head of Data Strategy and Governance, you will define and embed how data is owned, managed, and trusted across the organisation. You will work closely with technology, product, and senior stakeholders to ensure data quality underpins every insight and client outcome.
Key responsibilities include:
- Defining and delivering the data strategy, operating model, and governance framework across the business
- Establishing clear data ownership, standards, and accountability in a federated environment
- Leading data quality initiatives to address real-world issues across multiple data sources
- Building and maintaining a single source of truth, including data dictionaries and master data approaches
- Overseeing the data platform within an AWS and Databricks environment, ensuring scalability and reliability
- Providing strategic oversight of BI and analytics, partnering with teams to enable trusted reporting
- Managing and developing a multi-disciplinary data team spanning operations, governance, and BI
Your Skills and Experience
- Strong commercial experience in data strategy, data governance, and operating model design
- Deep understanding of data quality management, controls, and frameworks
- Experience working with modern cloud data platforms, including AWS and Databricks
- Ability to translate complex data and governance concepts for technical and non-technical stakeholders
- A pragmatic, delivery-focused mindset with the confidence to lead change in a scaling organisation
- Background in regulated or data-intensive environments is beneficial
What They Offer
- Competitive salary with flexibility depending on experience
- Hybrid working with two days a week in a central London office
- Private medical insurance with a comprehensive wellbeing and fitness programme
- 25 days annual leave with the option to carry over additional days
- Pension via salary sacrifice, plus access to multiple salary sacrifice schemes
- Enhanced parental leave, mental health support, and a dog-friendly office
- Study support, time for learning, and home working equipment on request
- Clear scope for progression and influence, with potential equity reviewed after probation
How to Apply
If you are looking to lead data strategy and governance in a growing, data-led organisation, apply now to find out more.
To Apply for this Job Click Here
Sr. Fullstack Software Engineer
New York
$170000 - $190000
+ Data Engineering
PermanentNew York
To Apply for this Job Click Here
Sr. Fullstack Engineer
Hybrid (NYC)
$170k – $190k Base + bonus & equity
Overview
A global, high‑growth technology company operating at the intersection of financial technology, consumer platforms, and digital security is expanding its engineering leadership team. The organisation builds large‑scale, consumer‑facing platforms used by hundreds of millions of users worldwide, with a strong focus on quality, long‑term maintainability, and responsible AI‑assisted development.
This role sits within a financial products marketplace that partners with major financial institutions to deliver personalised consumer experiences. The position is ideal for a senior‑level engineer who values engineering judgement, thoughtful architecture, and technical leadership over speed alone.
Responsibilities
- Own and uphold a high engineering quality bar across design reviews, code reviews, testing strategy, and production readiness
- Collaborate closely with product, design, and engineering partners to shape solutions and evaluate technical trade‑offs
- Architect and build frontend‑leaning, full‑stack systems that are modular, composable, and resilient to change
- Champion performance, reliability, and maintainability in AI‑assisted development environments
- Apply functional programming principles and immutability to reduce side effects and improve system clarity
- Lead the effective use of AI agents for prototyping, refactoring, and exploration while ensuring production‑grade outcomes
- Drive a robust automated testing strategy across unit, integration, UI/component, and end‑to‑end layers
- Provide technical leadership through mentorship, delegation, and high‑quality code reviews
Must‑Have Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field
- 8+ years of experience building production web applications, including senior‑level ownership
- Prior experience operating at principal, lead, or staff engineer level
- Expert proficiency with TypeScript and React, including server‑side rendered frameworks such as Next.js
- Strong understanding of functional programming concepts and immutability in modern frontend systems
- Advanced knowledge of automated testing strategies and CI‑driven feedback loops
To Apply for this Job Click Here
Data Analyst – Customer/Marketing
London
£45000 - £55000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Data Analyst
London (hybrid, 2 days per week) | Up to £55,000
This is a great opportunity to join a growing data and analytics consultancy where you will work on varied, client-facing projects that have real commercial impact. You will sit between data, insight, and decision-making, helping organisations better understand their customers through thoughtful, high-quality analysis.
The Company
They are a UK-based data and analytics consultancy that combines large-scale proprietary data with advanced analytics and insight delivery. Working as a solutions partner, they support clients across sectors such as utilities, energy, telecommunications, financial services, charities, and consumer brands. Their focus is on helping organisations unlock value from complex data through practical, outcome-driven analytics.
The Role
As a Data Analyst, you will work closely with clients to translate business problems into clear analytical solutions. You will be involved across the full project lifecycle, from early discovery through to delivery.
Key responsibilities include:
- Gathering requirements and running data discovery and stakeholder sessions
- Exploring, cleaning, and analysing complex, often ambiguous datasets
- Combining multiple data sources into a single analytical view
- Producing insight through analysis, reports, and dashboards
- Presenting findings and translating technical outputs into clear commercial insight
- Working alongside data scientists, project managers, and subject matter experts on client projects
Your Skills & Experience
- Strong commercial experience in a data or analytics role
- Excellent SQL skills for data extraction, transformation, and analysis
- Experience using Python for analysis is highly desirable
- Confidence working directly with clients and presenting insight to stakeholders
- Experience building dashboards in Power BI or similar BI tools such as Tableau or Qlik
- A curious, analytical mindset with the ability to work independently and ask the right questions
What They Offer
- Salary up to £50,000, with flexibility to £55,000 for an exceptional candidate
- Hybrid working with two days per week in a London office
- Exposure to a wide variety of clients, sectors, and analytical challenges
- Clear opportunities to develop technical capability and consulting skills
- Supportive team environment with access to specialist data, engineering, and science functions
How to Apply
If you are a Data Analyst looking to deepen your client-facing experience and work on meaningful analytics projects, apply now to find out more.
To Apply for this Job Click Here
Customer Insights Strategy Lead
London
£60000 - £90000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Customer Insights and Strategy Transformation Lead
London, hybrid working with 2 days per week in the office. £60,000 to £90,000 plus 16 percent bonus.
This is a high visibility role for someone who wants to shape how customer insight influences strategy, change and commercial decision making. You will sit at the centre of analytics, BI and insight, with the remit and autonomy to build a customer insight capability that delivers real outcomes, not just reports.
The Company
They are a large, established organisation investing heavily in becoming more customer led and insight driven. Data, analytics and insight are seen as critical enablers of strategic transformation. Teams work collaboratively across analytics, marketing, product and technology, with strong senior sponsorship for insight-led decision making.
The Role
- Act as the strategic link between customer insight, central analytics, BI and self service reporting.
- Define the customer insight vision, operating model and prioritisation frameworks.
- Champion a customer first mindset and ensure insight informs strategy, change initiatives and day to day decisions.
- Work closely with marketing, product and data science teams to embed insight into delivery.
- Balance strategic direction with hands on delivery, including analysis, tooling and insight communication.
- Improve confidence in customer data as a strategic asset and uplift ways of working across insight teams.
Your Skills and Experience
- Strong commercial experience in customer analytics or customer insight leadership.
- Advanced SQL skills and strong experience with Power BI or equivalent BI tools.
- Python capability is highly desirable, particularly for advanced or predictive insight.
- Proven ability to translate data into clear, actionable business insight.
- Experience building or supporting predictive models or analytical frameworks.
- Strong stakeholder ownership, with a focus on delivery and impact over theory.
What They Offer
- Salary banding of £60,000 to £90,000, with a sweet spot in the mid to high £70,000s.
- 16 percent bonus.
- Hybrid working with two days per week in the London office.
- A highly visible role with genuine influence over how insight, data and analytics work together.
- The opportunity to build capability and shape something that lasts.
How to Apply
Apply now to find out more about this opportunity and how you could shape the future of customer insight in a business where your work will have real impact.
