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Lead Customer Insights Analyst

£70,000 – £90,000 + bonus

Hybrid – Manchester (2 days per week)

This is a senior leadership role for someone who wants to shape how customer insight is embedded across an organisation. You will sit at the centre of strategy, analytics and transformation, building the frameworks, data foundations and ways of working that enable high impact, decision ready insight at scale.

The Company

They are a large, complex organisation with a strong focus on customer experience and data driven decision making. Customer insight sits at the heart of their transformation agenda, supporting senior leaders to act with confidence. The environment is collaborative, fast moving and focused on long term value creation through analytics and AI.

The Role

• Lead the strategic enablement of a central insights capability, focusing on scalable, self service analytics
• Design and maintain a holistic 360 degree customer view across internal and external data sources
• Build and embed frameworks, standards and reusable assets for analytics and insight generation
• Drive the development of data infrastructure, governance and quality to support trusted insight
• Champion innovation in advanced analytics, machine learning and AI, evaluating and adopting new approaches
• Translate complex analysis into clear, actionable recommendations for senior stakeholders
• Coach and mentor analytics professionals, raising analytical maturity across the organisation
• Lead and contribute to enterprise wide initiatives that link insight to measurable business outcomes

Your Skills and Experience

• Strong commercial experience in customer insight, analytics strategy and transformation
• Deep capability in data architecture, integration and connectivity across multiple data sources
• Advanced knowledge of machine learning, predictive modelling and modern analytics frameworks
• Proven ability to design integrated customer data assets that support decision making
• Excellent stakeholder management skills, with confidence influencing senior leaders
• Ability to synthesise complex data signals into clear, impactful insight
• Experience working in highly regulated or complex environments is beneficial

What They Offer

• Competitive salary and performance related bonus
• Opportunity to shape an enterprise level customer insight strategy
• Clear scope for career progression within a growing analytics leadership function
• Supportive culture with a strong focus on learning, innovation and impact

How to Apply

If you are looking to lead customer insight strategy and drive meaningful transformation through data, apply now.

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SOFTWARE MANUFACTURING LEADER

Dallas, Texas, United States (On-site)

The Role

We’re hiring a Software Manufacturing Leader to drive global manufacturing technology transformation across a large-scale industrial environment.

This is a senior executive role with ownership of manufacturing systems, data platforms, AI/ML strategy, and infrastructure modernization. You’ll define and execute the technology roadmap enabling factory expansion, throughput improvement, and cost efficiency.

What You’ll Drive

• Manufacturing technology strategy across production environments
• Data and platform modernization for real-time operational insights
• AI/ML adoption (predictive maintenance, yield optimization, forecasting)
• Cloud and infrastructure strategy to support scale
• Modern software practices (DevOps, CI/CD, agile)
• Global team leadership and cross-functional alignment

Technology Focus

• Real-time data platforms and unified data architecture
• Cloud-native and hybrid infrastructure
• Manufacturing systems (MES, process control, yield systems)
• Automation, IoT, robotics, and computer vision

What You Bring

• 15+ years leadership experience in manufacturing or industrial environments
• Proven track record driving large-scale technology transformation
• Deep experience in AI/ML, data platforms, and cloud infrastructure
• Strong background in manufacturing systems and automation
• Experience leading global teams and delivering measurable operational impact

Why This Role

• Executive ownership of manufacturing technology at global scale
• Direct impact on operational performance, cost, and expansion
• High visibility with senior leadership
• Opportunity to drive next-generation manufacturing through AI and automation

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Senior Analyst

London – Hybrid

Up to 60k

This is a senior individual contributor opportunity where you will take ownership of critical revenue and customer metrics in a data driven subscription focused organisation.

The Company
We are a large, digital first media organisation with a global audience and a strong commitment to long term sustainability. We are owned by a trust with no private investors, which means no paywalls and a clear focus on reinvesting revenue into the product and the reader experience. Most of our income comes from subscriptions and reader contributions, supported by advertising. Analytics sits at the heart of how we grow, retain and understand our readership.

The Role

You will play a key role in improving how lifetime value and performance are measured, trusted and used to drive readership growth and retention.

• Own lifetime value and core performance metrics across marketing and reader revenue
• Build, fix and improve Lifetime Value models, supporting a move towards a more unified customer view across products
• Maintain and enhance data models, including supporting and improving dbt models to ensure reliability and performance
• Own key dashboards used across the business, ensuring they run correctly, are accurate and trusted, rather than building them from scratch
• Provide strategic analytical input into experimentation and A/B testing beyond business-as-usual activity
• Partner with stakeholders across marketing, reader revenue and strategy to interpret metrics and support growth initiatives
• Contribute to longer term insight work including customer segmentation, readership behaviour and revenue planning

Your Skills and Experience

• Strong commercial experience operating as a senior analyst
• Proven ownership of lifetime value or similar customer revenue metrics
• Experience with attribution and marketing performance analysis
• Advanced SQL skills and strong hands-on experience using Python
• Experience working with Power BI or Tableau to support insight and reporting
• Comfortable working independently and supporting senior

What We Offer

• Salary up to £60,000 plus a competitive benefits package
• Hybrid working with three days per week in a central London office
• A high impact role with ownership of business models and metrics
• The opportunity to influence how analytics supports readership growth and long-term revenue

How to Apply
Apply now to find out more about this opportunity.

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Customer Insight Lead
London/Bournemouth
60-80k

We are hiring a Customer Insights and Strategy Transformation Lead to define and connect the customer insight vision across analytics, BI and self service reporting. This role blends strategic direction with hands on delivery, ensuring insight directly shapes customer outcomes and commercial decisions.

This is a high visibility opportunity to sit at the centre of data, insight and decision making. You will have real influence over how customer insight is used across the organisation, with the mandate to improve ways of working, build scalable capability and raise confidence in data as a strategic asset.

The Company
We are working with a large, well established organisation operating in a highly regulated, customer focused environment. The business places growing importance on analytics and customer insight to drive strategy, transformation and performance. With teams based across multiple UK locations, they offer a collaborative culture and a strong commitment to hybrid working and long term investment in data capability.

The Role

• Own the customer insight vision and operating model, aligning analytics, BI and self service reporting.
• Act as the strategic bridge between data, technology, insight and business change.
• Work closely with analytics, insight and data science leaders to prioritise and deliver high impact insight.
• Translate complex analysis into clear, actionable recommendations for senior stakeholders.
• Champion a customer first mindset, embedding insight into strategy, transformation and day to day decisions.
• Remain hands on with analysis, tooling and insight delivery, not just oversight.
• Improve trust, governance and consistency in customer data and insight outputs.

Your Skills and Experience

• Strong commercial experience in customer analytics or customer insight leadership roles.
• Advanced SQL skills and strong experience using Power BI or similar BI tools.
• Working capability in Python for analysis, modelling or data exploration.
• Experience building or supporting predictive insight, models or analytical frameworks.
• Deep understanding of self service reporting and scalable insight delivery.
• Proven ability to own senior stakeholders and drive insight through to measurable impact.

What We Offer

• Hybrid working, typically two days per week in the office.
• A high impact role with scope to shape customer insight capability for the long term.
• Clear opportunity to influence strategy, transformation and analytics maturity.

How to Apply
Apply through Harnham to learn more about this opportunity and discuss your suitability in confidence.

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Account Analytics Analyst

London – Hybrid

45-50k

This is an opportunity to join a growing analytics team where data sits at the centre of marketing decision making. We work with high profile consumer brands and give analysts real exposure to clients, varied datasets, and meaningful commercial impact from day one.

The Company
We are a global marketing and technology organisation focused on helping businesses understand and engage their customers more effectively through data. By combining analytics, marketing expertise, and technology, we support brands in delivering personalised digital campaigns and measuring real outcomes. Analytics plays a central role in everything we do, with senior leadership closely involved in day-to-day work.

The Role

We are looking for an analytically driven professional to help us evaluate digital marketing campaigns, uncover customer insights, and turn complex data into clear, commercial recommendations for our clients.

• Analyse digital marketing campaigns to understand performance, audience behaviour, and business impact
• Use SQL to manipulate large online and offline datasets and deliver actionable insights
• Support audience analysis and segmentation to help clients reach and engage the right customers
• Evaluate what has worked, what has not, and recommend next steps for future campaigns
• Work with transactional and customer data to identify trends, value segments, and VIP customers
• Collaborate with account, media, and technology teams and contribute to client discussions and presentations

Your Skills and Experience

• Commercial experience in analytics within marketing, digital, media, consultancy, or a related environment
• Confident using SQL for hands on data analysis
• Experience with a data visualisation tool such as Tableau, Power BI, or similar
• Understanding of digital marketing, advertising, or CRM data, with curiosity to learn more
• Ability to turn analysis into clear, engaging stories for non technical stakeholders
• Comfortable working collaboratively and engaging with clients

What We Offer

• Competitive salary and comprehensive benefits package
• Exposure to well known consumer and retail clients
• Clear progression within a growing analytics function

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Principal Data Scientist

London – UK Wide Travel Expected

If you’re a hands-on Data Science / AI specialist who loves solving real operational problems, this role puts you right at the heart of client delivery. You’ll shape the problems, design and build the solutions, and see your models deployed into live environments – not parked as endless POCs.

THE COMPANY

This fast-growing consulting firm helps organisations across the public sector, defence and commercial markets deliver measurable improvements in performance through data, AI and digital solutions. They are building a modern AI & Digital capability that sits at the front of transformation programmes, working shoulder-to-shoulder with clients on their toughest operational challenges.

THE ROLE

As a Lead Data Scientist, you will blend hands-on technical work with consulting, stakeholder management and practice-building.

• Identifying high-impact Data Science, Machine Learning, AI and simulation opportunities on client engagements
• Scoping and shaping problems, designing experiments and roadmaps, and then building and deploying models end-to-end
• Leading technical workstreams, managing small teams and ensuring projects are delivered on time and to a high standard
• Translating complex technical concepts into clear, compelling narratives for non-technical senior stakeholders
• Coaching and mentoring consultants to build their capabilities in DS/ML/AI and modern analytics

YOUR SKILLS & EXPERIENCE

• Strong background in Data Science, Machine Learning, AI, simulation or advanced analytics, with clear examples of end-to-end delivery
• Proven ability to shape, not just execute: from defining the problem and designing the solution, through to delivery and measurement of impact
• Consulting capability – comfortable running client workshops, identifying opportunities, influencing senior stakeholders and supporting pitches
• Evidence of measurable commercial or operational impact (e.g. revenue growth, cost reduction, efficiency gains, service improvement)
• Hands-on experience building models and turning prototypes into robust, production-ready solutions
• Experience leading teams or technical workstreams in a project environment
• UK citizenship (for security clearance purposes) and willingness to travel across the UK 3 days per week, depending on client needs

Nice-to-have experience:

• Background in a consulting environment or a high-performing in-house DS/AI team
• Exposure to sectors such as defence, public sector and consumer/retail
• Familiarity with modern data and AI tooling such as Python, Spark, Databricks, Azure cloud, and Generative AI platforms (experience with specific tools is helpful but not essential)
• A mix of technical, product and operational experience – comfortable talking both code and business outcome

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Customer Insight Strategy and Transformation Lead
London, Hybrid
Salary up to £90,000

This is a senior, high impact role for an insight leader who wants to shape how customer intelligence drives decision making at enterprise level. You will play a pivotal role in building scalable insight capability, embedding advanced analytics, and enabling the organisation to move from reactive reporting to proactive, strategic insight.

The Company
They are a large, complex organisation with a strong focus on customer outcomes and data driven transformation. Customer insight sits at the heart of their strategy, supporting commercial, operational and regulatory priorities. The business is investing heavily in analytics, AI and self service insight to unlock value and improve customer experience at scale.

The Role

• Lead the strategic enablement of a central insights capability, defining frameworks, standards and ways of working
• Architect and connect multiple internal and external data sources to create a holistic 360 degree customer view
• Drive development of robust data infrastructure, governance and self service analytics tools
• Lead advanced analytics and strategic insight initiatives, including predictive modelling and AI driven approaches
• Translate complex analytics into clear, actionable recommendations for senior stakeholders
• Champion innovation in tools, techniques and methodologies across customer analytics
• Coach and develop analytics capability across teams, raising overall analytical maturity
• Collaborate closely with senior leaders across insight, analytics and the wider business

Your Skills and Experience

• Strong commercial experience leading customer insight or analytics strategy in a complex organisation
• Deep expertise in data architecture, integration and connectivity across cloud platforms, SQL and APIs
• Advanced capability in analytics, predictive modelling, machine learning or AI driven insight
• Proven ability to design and maintain integrated customer data assets
• Confident communicator, able to influence senior stakeholders and translate insight into action
• Strong strategic thinking with the ability to connect insight to business impact
• Experience embedding analytics best practice and enabling self service insight

How to Apply
Apply now to explore how this Customer Insight Strategy and Transformation Lead role could be the next step in your analytics leadership career.

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AI Automation Lead

Dublin – 3 days a week

The Company
They are a fast growing recruitment firm operating in a talent short, high demand market. With strong commercial momentum, the business is investing heavily in AI to modernise its operating model and improve speed, quality, and experience across the recruitment lifecycle. AI is seen as a core enabler for future growth rather than a side initiative.

The Role
You will take ownership of AI strategy and execution, shaping how intelligent systems are designed, built, and deployed across the business. Key responsibilities include:

• Designing and delivering AI driven automation across end to end recruitment workflows
• Building LLM powered solutions for CV screening, candidate matching, and outreach
• Developing conversational agents to enhance candidate and client engagement
• Integrating AI tools into existing ATS, CRM platforms, and external APIs
• Defining and owning the AI roadmap, prioritising use cases with clear commercial impact
• Leading delivery from concept through to production ready implementation

Your Skills and Experience

• Strong commercial experience delivering AI or automation solutions in a business environment
• Hands on capability with LLMs, prompt engineering, and applied machine learning use cases
• Experience integrating AI solutions into existing systems and workflows
• Ability to translate business problems into scalable technical solutions
• Comfortable operating at both strategic and delivery level

What They Offer

• Competitive salary with a strong benefits package
• A senior impact role with genuine ownership and autonomy
• The opportunity to shape AI adoption from the ground up
• Clear progression as the business continues to scale

How to Apply
If you are interested in shaping AI strategy while remaining close to delivery, apply now to learn more about this opportunity.

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AI Lead – Dublin

We are partnering with a high-growth recruitment firm based in Dublin that is making significant investment in AI to reshape its operating model. With a strong presence in a fast-moving, talent‑short market, the business is focused on deploying AI to streamline manual processes, accelerate delivery, and enhance both candidate and client journeys. As the company scales, there is a clear mandate to embed AI as a core enabler across the organisation.

This is a newly created, senior-impact role offering the chance to shape and deliver the organisation’s AI vision from the ground up. You will set the AI strategy while remaining hands-on, building and deploying practical solutions that drive efficiency, remove friction, and generate measurable commercial value.

Key Responsibilities

• Design and deploy AI-driven automation across end-to-end recruitment workflows
• Develop LLM-powered solutions for CV screening, candidate matching, and outreach
• Build conversational agents and intelligent systems to improve candidate engagement
• Integrate AI tools seamlessly into existing ATS, CRM platforms, and APIs
• Define and own the AI roadmap, prioritising high-value use cases with clear ROI
• Lead delivery from initial concept through to production-ready implementation

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Clinical Data Scientist (Confidential Biotech | Oncology Focus)

Remote (U.S.) | Competitive Base of up to $190,000 (DOE) + Equity

We’re partnering with a rapidly scaling, mission-driven biotech that is quietly redefining how clinical trials are executed in oncology.

This organization sits at the intersection of real-world clinical practice, AI-powered data extraction, and modern trial design-building a more efficient and representative path to drug development.

They’re now hiring Clinical Data Scientists who want to move beyond traditional study support and play a direct role in shaping next-generation clinical data pipelines.

Why This Role Stands Out

• Work on real-world, messy clinical data-not just clean trial datasets
• Direct influence on how AI/NLP outputs are validated and improved
• High ownership in a scaling, high-demand environment
• Opportunity to help define data standards from study inception
• Mission-driven focus: accelerating oncology drug development and expanding trial access

What You’ll Actually Do

• Transform raw, abstracted, and AI-processed data into CDISC SDTM/ADaM datasets
• Program tables, listings, and figures (TLFs) using SAS, R, or Python
• Investigate and resolve data inconsistencies across fragmented sources
• Define data dictionaries and standards pre-study kickoff
• Perform rigorous QC and produce regulatory-grade documentation (Define.xml, reviewer guides)
• Partner with AI teams to create feedback loops that improve model accuracy
• Support ad hoc clinical and exploratory analyses
• Ensure all work aligns with HIPAA-compliant data handling practices

What They’re Looking For

• 2-5+ years in Clinical Data Science, Statistical Programming, or Clinical Data Management
• Strong experience with CDISC (SDTM/ADaM)
• Proficiency in SAS, R, Python, and/or SQL
• Background in pharma or biotech (oncology or real-world data strongly preferred)
• Experience working with imperfect, multi-source clinical data-sets
• Detail-oriented with a strong instinct for data quality and validation

The Bigger Picture

This team is building a system where:

• AI handles upstream abstraction from unstructured records
• Clinical Data Scientists own the final mile: transformation, validation, and delivery

If you’ve ever been frustrated by siloed workflows or limited visibility into how data is generated-this is your chance to work in a more integrated, modern environment.

If you’re interested in learning more (confidentially), feel free to reach out directly.

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Job Title: Product Data Scientist – Hybrid – Up to £80,000

Location: London (Hybrid, 2 days p/w in office)

Salary: Up to £80,000 + benefits

Contract: Permanent

The Company

A well-established and fast-growing organisation going through an exciting period of digital transformation. With a strong customer focus, they use data and technology to deliver meaningful products and services to a wide audience. The business is scaling its data capabilities and is investing heavily in analytics to drive smarter decisions and long-term growth.

The Role

As a Product Data Scientist, you’ll work closely with teams across the business to unlock insight, guide product strategy, and influence decision-making. You’ll use advanced analytics, experimentation, and data storytelling to identify opportunities, improve customer experiences, and drive measurable impact.

Key Responsibilities:

• Analyse user behaviour to uncover insights, identify pain points, and influence product direction.

• Design experiments and support a culture of testing, learning, and iteration.

• Define and align key business metrics, ensuring consistency and accuracy across teams.

• Build and maintain dashboards and tools to empower stakeholders with self-serve insights.

• Conduct deep-dive analyses to support strategic initiatives and provide clear recommendations.

• Collaborate across functions to close data gaps and drive analytics best practice.

• Stay current on industry trends and champion innovative approaches to product data science.

The Candidate

• Proven experience in analytical roles, ideally within a digital-first or tech-led business.

• Skilled in SQL, Python or R, plus familiarity with BI tools (e.g. Looker, Tableau, Lightdash).

• Ability to translate business challenges into clear analytical projects and recommendations.

• Strong data storytelling and presentation skills, with confidence engaging senior stakeholders.

• Curious, proactive, and detail-oriented problem solver.

• Team player with strong collaboration skills.

What’s on Offer

• Salary up to £80,000 + bonus

• Hybrid working (2 days per week in London office)

• Competitive annual leave package

• Pension scheme and healthcare support

• Employee discounts and perks

• Regular team socials and recognition initiatives

• Strong learning and development opportunities

Apply Now
If you’re an experienced Product Data Scientist/Analyst looking to shape the future of data insight in a growing, forward-thinking organisation, apply today.

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Analytics Manager

London (Hybrid – 2 days in office, Tuesdays required)
Up to £90,000 base salary

An established data and analytics provider within the FS and property sector is looking for an Analytics Manager to lead and deliver high-impact client-facing projects. Sitting at the intersection of data, product, and commercial teams, this role offers the opportunity to influence strategic decision-making across some of the UK’s most prominent banks and mortgage lenders.

You’ll manage a small team of analysts while staying close to delivery – combining technical expertise with business insight to shape how financial institutions use housing market data to drive smarter lending decisions.

Key Responsibilities

• Team Leadership: Mentor and support 2-3 analysts; oversee workload and ensure high-quality output

• Client-Facing Analytics: Present insights directly to clients, translating complex data into strategic value

• Cross-Functional Collaboration: Work with product, commercial, and presales teams to develop tailored solutions

• Strategic Thinking: Stay ahead of market trends and customer challenges to guide analytics direction

• Project Delivery: Lead the end-to-end delivery of analytics projects across multiple stakeholders and timelines

• Innovation Support: Help evolve the product set through insight-led thinking across financial services use cases

What We’re Looking For

• 5-7 years’ experience in analytics, ideally within financial services, credit risk, mortgages, or related sectors

• Proven experience mentoring or managing analysts (or strong readiness to step into a team lead role)

• Strong technical toolkit: SQL, Python, and Excel proficiency

• Skilled communicator – confident presenting to both technical and non-technical audiences

• Experience working with or alongside banks, lenders, or credit decisioning teams

• Highly numerate, creative problem solver with strong business acumen

Nice to Have

• Exposure to property, housing, or mortgage markets

• Experience in a fast-paced, collaborative environment

• Interest in combining product thinking with data analytics

• Ability to manage multiple projects and stakeholders

• Strong presentation skills and a curious, solutions-driven mindset

Why Apply?

• Strategic, visible role with direct impact on how financial clients use data

• Competitive salary up to £90,000

• Hybrid working – 2 days/week in the London office (Tuesdays required)

• Work within a high-calibre analytics team under supportive leadership

• Be part of a mission to simplify and modernise property data in financial decisioning

Interview Process

1. Initial interview (30-45 mins) – with Analytics Leadership

2. Task stage – demonstrate analytical thinking and communication

3. Final round – culture fit and stakeholder interaction
   One stage may take place in person at the London office (London Bridge), where possible

Ready to shape the future of data in property and financial services? Apply now to join a high-performing team that blends deep analytics with real-world impact.

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