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Alternative Data Director

£120,000-£150,000

Fully Remote in The UK

The Company

A fast-growing alternative data business providing investors with daily revenue and KPI intelligence across hundreds of listed companies globally is seeking an Alternative Data Director to lead their “Research” function. The business works with around 100 investment funds, using a combination of first- and third-party data alongside proprietary modelling methodologies to uncover signals and trends ahead of traditional reporting; having recently secured further investment, the business is continuing to scale its data capabilities and is now looking for a senior data leader to build out its Data Research function.

The Role

This is a senior, hands-on leadership role sitting within the Data Research function. You will be responsible for identifying, researching and evaluating new datasets and working out how they can be transformed into valuable commercial intelligence. The role sits closely alongside the Data Partnerships function, which is responsible for sourcing and purchasing new datasets.

Your team will then answer the critical questions:

• What is actually contained within the data?
• Is it reliable and fit for purpose?
• What can we learn from it?
• Can it help us create new KPIs or products?
• Is the data worth the commercial investment?

You will also lead research projects from the other direction; starting with a question or hypothesis around a sector or KPI and determining what data could be used to answer it. This is not a pure people-management position; tare looking for someone who can set the strategy but also get deep into the data, challenge technical work and personally drive complex research projects. The team currently includes a Data Evaluation Manager, with the wider Data Research function expected to grow significantly.

What You’ll Be Doing

• Define and lead the overall Data Research strategy.
• Lead end-to-end research projects, developing hypotheses around new ways to track sectors and KPIs.
• Assess and validate new alternative datasets from Data Partnerships.
• Lead data discovery, including identifying and investigating potential sources independently.
• Apply statistical analysis to determine whether datasets have meaningful relationships with important business metrics.
• Develop and improve standards for evaluating new datasets.
• Work across data validation, modelling, feature engineering and statistical analysis.
• Build robust approaches to assessing messy, real-world data.
• Develop the team’s approach to data valuation and cost-benefit analysis.
• Work closely with Data Partnerships to inform purchasing decisions.
• Identify new ways existing datasets can be used to create additional insight or products.
• Set the technical standard for the Data Research team.
• Lead, develop and grow the team as the function scales.
• Work closely with the CTO, Strategy leadership and other senior stakeholders.
• Explore how AI can improve the speed and quality of data research and evaluation.

Your Skills & Experience

You will be a technically strong data leader who enjoys data discovery, research and solving open-ended problems.

I am particularly interested in people who can demonstrate:

• Extensive experience in Data Science, Statistics or a closely related quantitative discipline.
• Some experience in technical leadership or management.
• Strong hands-on Python experience.
• Strong SQL skills.
• Excellent statistical analysis and data modelling capability.
• Experience working with messy, real-world datasets.
• Strong experience in feature engineering and turning raw/complex data into something commercially useful.
• A track record of discovering, assessing or evaluating new datasets.
• Experience defining hypotheses and taking complex research questions through to an evidence-based conclusion.
• The ability to assess whether data is genuinely fit for purpose.
• Strong commercial judgement around the value and cost of acquiring data.
• The ability to operate as a do-er, rather than purely a strategic leader.
• Experience leading and developing technical data teams.

For this role, experience in alternative data, financial data, investment research, data discovery, consultancy or data-led SaaS environments could all be relevant. Experience with first-party data collection, expert panels, surveys or using AI to improve research workflows would also be advantageous. This role is less suited to purely ML Engineering, BI/dashboarding or traditional Equity Research profiles without substantial hands-on experience working with datasets.

The Benefits

• £120,000-£150,000 salary

How to Apply

Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page

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Junior CRM Analyst
Watford Junction – Hybrid 3x a week
Up to £35,000 + Bonus

Looking to build a long-term career in CRM, customer analytics, and campaign operations?

This is an excellent opportunity to join a growing CRM function where you’ll gain exposure to audience creation, campaign governance, customer segmentation, and stakeholder management within a highly data-driven environment. You will work alongside experienced CRM professionals and have a clear pathway into senior analytics and CRM leadership roles.

The Company
They are a well-established consumer-focused organisation undergoing significant investment across CRM and digital capabilities. CRM sits at the heart of their growth strategy, with continued expansion planned across analytics, campaign management, and customer engagement teams.

With a large and collaborative CRM function, they provide strong exposure to cross-functional stakeholders including strategy, operations, and data teams. The business is committed to developing talent and creating clear progression opportunities for analytical professionals early in their careers.

The Role
As a CRM Analyst, you will play a key role in supporting customer marketing campaigns through audience creation, campaign governance, and CRM analysis.

Responsibilities include:

• Building customer audiences and campaign selections using SQL
• Creating and maintaining customer segments for targeted marketing campaigns
• Managing and monitoring CRM campaign schedules
• Supporting audience validation and quality assurance processes before deployment
• Updating and optimising audience selection queries
• Working with Salesforce Marketing Cloud and Automation Studio
• Supporting recurring customer engagement campaigns
• Responding to stakeholder requests for new customer audiences and segments
• Producing campaign reporting and basic performance analysis
• Collaborating with CRM Strategy, Operations, and Data teams to ensure campaigns are delivered accurately and on time

Over time, you will become a key owner of CRM scheduling and campaign governance activities, helping coordinate campaign delivery across multiple teams.

Your Skills & Experience

• Strong foundational SQL skills including joins, aggregations, counts, and basic audience-building logic
• STEM, analytical, or data-focused academic background
• Excellent communication and stakeholder management skills
• Strong attention to detail and quality control mindset
• Ability to manage multiple priorities in a fast-paced environment
• Exposure to SQL through university projects, placements, internships, or commercial experience
• Confidence working with data to solve business problems
• Ability to explain technical concepts to non-technical stakeholders

Desirable experience:

• CRM, marketing, or customer analytics exposure
• Salesforce Marketing Cloud knowledge
• Experience working with customer, campaign, or marketing data
• Basic reporting and analytical capability

What They Offer

• Structured career progression from Analyst through to Senior Analyst, Manager, and Senior Manager levels
• Exposure to a large, growing CRM function
• Significant investment in CRM, data, and digital capabilities
• Opportunities to develop expertise in CRM analytics, campaign operations, and customer engagement
• Potential future pathways into CRM leadership, BI, and broader analytics roles

How to Apply
If you’re looking for a CRM Analyst role where you can develop your SQL skills, gain exposure to large-scale CRM campaigns, and build a clear long-term career path, apply today.

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Senior AI Engineer

London (Hybrid) | Up to £120,000 + Benefits

Join a newly formed AI Lab focused on building the next generation of AI-powered products. This is a highly hands-on role where you’ll work on LLMs, RAG systems, generative audio, and greenfield AI initiatives within a small, high-impact team.

The Company
A global information and media organisation operating across 170+ countries. Their dedicated AI team is exploring how Generative AI can transform content, research, and user experiences through innovative products and experimentation.

The Role

• Build and fine-tune LLM-powered applications
• Develop RAG and retrieval workflows
• Work on style, tone, and content modelling
• Contribute to speech processing and generative audio projects
• Improve existing AI agents and develop new AI products
• Collaborate with engineering, product, and business stakeholders
• Help shape technical architecture while remaining hands-on

Your Skills & Experience

• Strong commercial experience building production AI systems
• Hands-on experience with LLMs, fine-tuning, NLP, and RAG
• Software engineering and system design expertise
• Experience working with content-focused AI applications
• Strong communication skills and stakeholder management
• Experimental mindset with a passion for AI innovation
• Exposure to speech, audio, or voice AI is a bonus

What They Offer

• Up to £120,000 base salary
• Hybrid working model
• Opportunity to join a high-profile AI initiative at an early stage
• Significant ownership and technical influence
• Clear progression within a growing AI function

Interview Process

1. Talent screening
2. Interview with the VP of AI
3. Technical take-home task
4. Technical review
5. Stakeholder interview

How to Apply
If you’re passionate about LLMs, Generative AI, and building production AI products, apply now to learn more.

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CRM Analyst | Consumer Brand | Hertfordshire | £35k + Bonus

We’re working with a household-name UK consumer brand that is investing heavily in CRM and digital. They’re looking to hire a CRM Analyst to join their growing CRM team in Hertfordshire.

This is a great opportunity for someone early in their career with solid SQL foundations and strong communication skills, who wants clear progression into Senior Analyst, CRM Management or BI roles.

The role will involve:

• Building campaign audiences and customer segments using SQL
• Monitoring and managing the CRM campaign schedule
• Working within Salesforce Marketing Cloud and Automation Studio
• Updating and amending audience selection queries
• Validating and cross-checking audiences before campaigns go live
• Supporting recurring and promotional campaigns, including campaigns with multiple versions and customer segments
• Managing requests for new audience segments from stakeholders
• Delivering basic campaign analysis and reporting

The CRM function is around 35 people and has grown significantly in recent years, with further hiring planned. Longer term, this person will become the go-to owner of CRM scheduling, coordinating campaign activity across the Strategy, Operations and Data teams.

We’re particularly interested in candidates with a STEM or data-focused degree and some exposure to SQL, whether through university, a placement, an internship or an early-career role.

You’ll need basic to intermediate SQL skills (joins, aggregations and GROUP BY), strong attention to detail and the ability to manage multiple priorities. CRM, marketing or Salesforce Marketing Cloud experience would be a bonus.
Strong communication and stakeholder management are essential, as this role involves working closely with teams across the business. The team is looking for someone who combines technical ability with real confidence in dealing with people.

Salary: £35k + Bonus
Location: Hertfordshire (hybrid, 3 days a week in the office)
Unfortunately, visa sponsorship is not available for this role.

If you have SQL skills from a data-focused background and are open to a new opportunity, please feel free to apply below for more information.

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Graduate CRM Analyst (Data)

Location: Watford
Salary: £35,000 + bonus
Working pattern: Hybrid – 3 days per week in the office

A leading organisation is looking for a Graduate CRM Analyst to join its growing CRM team and support the delivery of customer marketing campaigns.

This is a great opportunity for an early-career analyst with SQL experience who enjoys working with data, solving problems and collaborating with stakeholders.

The Role

You’ll be responsible for building and managing customer audiences for CRM campaigns, ensuring campaigns are accurately targeted and delivered on time.

Key responsibilities include:

• Building customer audiences and segments using SQL
• Managing campaign schedules and audience requests
• Working with Salesforce Marketing Cloud and Automation Studio
• Supporting recurring and promotional CRM campaigns
• Performing audience validation and quality checks
• Providing basic campaign analysis and reporting
• Working closely with CRM Strategy, Operations and Data teams

About You

We’re looking for someone with:

• Basic/intermediate SQL skills, including joins, GROUP BYs, counts and aggregations
• A STEM, data-focused or analytical degree/background
• Strong attention to detail
• Excellent communication and stakeholder management skills
• The ability to manage multiple priorities in a fast-paced environment
• Exposure to SQL through university, internships, placements or an early-career role

CRM, marketing or Salesforce Marketing Cloud experience is desirable but not essential.

Why Join?

• Join a growing and strategically important CRM function
• Clear progression into Senior Analyst, Manager or BI opportunities
• Gain exposure to CRM, customer data and campaign analytics
• Work closely with Strategy, Operations and Data teams
• Opportunity to take ownership of CRM scheduling and campaign governance

Interested? Apply now or get in touch for more information.

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Data Science Engineer
London 2-3 days

Join a newly established R&D function building data-driven and AI-enabled products. This is a hands-on role for someone who enjoys combining Data Science and Data Engineering to create scalable data solutions with real business impact.

The Company
They are investing heavily in data and AI, with a small multidisciplinary team focused on building analytical products from concept through to production. You’ll work in a collaborative environment with plenty of ownership and exposure to cutting-edge technologies.

The Role

• Build scalable data pipelines using Microsoft Fabric and Databricks
• Develop machine learning solutions across forecasting, anomaly detection, recommendation systems, and information extraction
• Work with structured, semi-structured, and document-heavy datasets
• Create reusable data assets and analytical products
• Contribute to testing, APIs, CI/CD, and production deployments
• Partner with stakeholders to solve business challenges through data

Your Skills & Experience

• Strong experience across both Data Science and Data Engineering
• Hands-on expertise with Microsoft Fabric and Databricks
• Advanced Python and SQL skills, with PySpark desirable
• Experience building data pipelines and machine learning models
• Knowledge of NLP, entity resolution, or document processing is advantageous
• Strong communication skills and commercial awareness

To Apply for this Job Click Here

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AI Engineer
London (Hybrid, 2-3 days onsite)

Join a growing AI team building production-grade GenAI products that deliver real business impact. This is an opportunity to own projects end-to-end, from concept through to deployment, while helping shape the future direction of AI-powered solutions.

The Company
They are a global professional services organisation investing heavily in AI innovation. Their focus is on delivering scalable, customer-facing AI products, with particular emphasis on GenAI, document processing and agentic AI applications. The environment is collaborative, hands-on and product-focused.

The Role

• Build and deploy AI-powered product features into production.
• Develop GenAI and agentic AI applications.
• Create scalable solutions for document and text-processing challenges.
• Contribute to system design, deployment and engineering best practices.
• Work across the full product lifecycle, from proof of concept to release.

Your Skills & Experience

• Strong commercial experience delivering AI products into production.
• Excellent software engineering foundations, ideally with full stack exposure.
• Strong Python skills.
• Experience with GenAI, agentic frameworks and document-processing use cases.
• Hands-on experience with Docker and CI/CD.
• Ability to demonstrate ownership and measurable project impact.
• TypeScript, Kubernetes, Azure or Node.js experience is advantageous.

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