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DATA MANAGEMENT CONSULTANT
CENTRAL LONDON – 3 DAYS PER WEEK
£90,000

We are partnered with a Global Consultancy supporting their Investment Management practice, following a recent strategic acquisition that has significantly enhanced their capabilities. They are looking to implement a critical data management solution for their investment firms. They are seeking a driven Data Management Consultant to lead teams and workstreams on impactful projects.

THE TEAM:

As part of our Investment practice, their team specialises in providing a platform for their clients to help manage data solutions. They have a strong strategic partnership with key industry vendors in the data management space and are experiencing high demand due to their successful involvement in major industry programmes. This is an exciting time to join as they build the capacity to deliver significant client programmes and expand the capabilities across various leading investment management platforms.

THE ROLE:

As a Data Management expert, you will play a crucial role in leading project workstreams and potentially managing teams, ensuring the successful delivery of data management solutions for their Investment Management clients. You will leverage your understanding of this business area, data management platforms, and project delivery methodologies to drive impactful outcomes. This role offers the opportunity to contribute to significant client engagements and shape the future of their data landscape within a leading global organisation.

YOUR SKILLS AND EXPERIENCE:

The ideal Data Management Consultant will have:

• Proven experience leading workstreams within large-scale programmes, ideally involving Data Management platforms (e.g., Aladdin, Markit EDM, GoldenSource) or similar Investment Management systems.
• A strong understanding of the Investment Management business, including various security types, issuers, and industry operations.
• Experience in hands-on configuration and implementation work on relevant data management platforms.
• While Investment Management experience is preferred, relevant Wealth Management experience will be considered.

HOW TO APPLY:

Ready to take the next step in your career with a leading global firm? Please register your interest by sending your CV via the Apply link on this page.

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Data Manager – Investment Management
Location: London (2 days a week in office)
Salary: £95,000

We’re working with our client, a leading global consultancy, to recruit a Manager within the Data Management team of their Investment Management & Wealth Operations and Domain Solutions (IM&W ODS) practice. This team delivers end-to-end transformation services to clients in the investment and wealth sector, combining deep industry knowledge with technical expertise and delivery excellence.

Role Overview:
You’ll lead strategic data initiatives, supporting clients through complex operational and technological transformations. This role is ideal for someone with a strong consulting mindset, stakeholder management experience, and deep understanding of data in the investment management space.

Key Responsibilities:

• Lead data transformation projects from planning through to delivery
• Provide subject matter expertise on sector trends, data lifecycle, and leading practices
• Build and maintain strong client relationships at all levels
• Engage and influence senior stakeholders and cross-functional teams
• Mentor junior team members and manage project teams
• Drive high-quality outcomes while managing ambiguity and competing priorities

Requirements:

Essential:

• Demonstrable experience delivering investment management and wealth technology transformation projects
• Strong knowledge of Data Management across securities, prices, positions, accounts, and legal entities
• Excellent stakeholder management and communication skills
• Analytical mindset with the ability to clarify ambiguous requirements and make sound decisions
• Experience working independently and leading teams in both agile and waterfall environments

Desirable:

• Understanding of emerging technologies and trends in financial services
• Experience managing budgets and coordinating project resources
• Familiarity with tools such as Jira, Confluence, and MS Project
• Delivery certifications such as Prince2, AgilePM, SAFe, Scrum Master, or ITIL
• Industry certifications like CFA, IMC, IOC, or Snowflake
• Consulting experience (internal or external)
• Data platform configuration experience

To apply or find out more, contact:

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Chief Technical Officer
Location: Oxford (3 days in office, 2 days WFH)
Salary: £120,000 (Can be slightly flexible on this)

We’re working with our client, a global leader in online retail and one of the top 10 third-party sellers on Amazon and eBay, to recruit a Chief Technical Officer. This is a key leadership role, driving IT strategy and shaping the future of a fast-growing, multi-brand ecommerce business.

Role Overview:
You’ll be responsible for the strategic direction, development, and operational excellence of the organisation’s technology function. This includes overseeing infrastructure, leading internal and outsourced development teams, and delivering high-impact projects. The ideal candidate will be a hands-on technology leader with a strong grasp of cloud, DevOps, and cybersecurity, paired with excellent team leadership and stakeholder management skills.

Key Responsibilities:

• Develop and implement a three-year tech strategy aligned with business goals
• Evaluate and enhance existing infrastructure and development processes
• Lead and grow high-performing onshore/offshore tech teams
• Oversee IT operations, governance, security, and business continuity planning
• Drive the successful delivery of complex, cross-functional IT projects
• Manage vendor relationships and technology budgets
• Foster a culture of continuous improvement and operational excellence

Requirements:

• Essential:
  • 7+ years in technical software development and IT leadership
  • 5+ years at Director or Head of Department level
  • Strong knowledge of Agile, DevOps, cybersecurity, and cloud infrastructure
  • Excellent communication, budgeting, and strategic planning skills
  • Proven experience leading change, improving SDLCs, and managing cross-functional teams
• Desirable:
  • Experience in ecommerce or marketplace-based retail
  • Familiarity with KPIs/OKRs and scaling technology in fast-growth environments
  • Track record of implementing IT best practices across security, infrastructure, and vendor management

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CRM MANAGER

UP TO £80,000

HYBRID – SOUTHEAST LONDON – 3 days a week in the office

THE COMPANY

This prizes business offers an exciting subscription model that provides access to vouchers, VIP experiences, and more!

THE ROLE

As the CRM Manager, you can expect to be involved in the following:

• Looking at campaign strategy across the whole customer lifecycle
• Using Klaviyo to deploy campaigns
• Work on funnel analysis, AB testing, and CTRs
• Deploy campaigns across multiple channels (Email, SMS, Whatsapp)
• Building automated customer journeys

YOUR SKILLS AND EXPERIENCE

• Experience working on strategy and deployment is ideal
• Braze or Klaviyo experience is a plus
• Being hands-on with data is essential
• Experience in gambling is interesting

BENEFITS

• Salary up to £80,000
• Hybrid working
• Opportunity to take a step up in your career

How to apply

Express your interest by sending your CV to Theo via the apply link on this page

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Data Science Manager – REMOTE

We are working with a fintech start up looking for a Data Science Manager to join the team. You will manage a team of 5 Data Scientists in both technical and personal development. You will lead on forecasting and regression models as well as deployment using skills such as Docker and Kubernetes.

Requirements:

• 5+ years Data Science experience
• 2 years management experience
• Forecasting, Time Series & Regression modelling
• Web scraping
• Software development skills
• Python, SQL, Docker, Kubernetes
• Experience working in a fintech or in a similar field

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Data Scientist – Digital Audience Analytics

Location: Manchester (Hybrid – 2 days onsite)
Salary: £60,000-£90,000

The Company

A global leader in multimedia content creation is expanding its advanced analytics hub to drive smarter, more personalised audience engagement. Operating across publishing, audio, and outdoor media, this organisation produces content for the UK’s best-loved consumer brands. They are now recruiting a Data Scientist – Digital Audience Analytics to unlock deeper insights into how audiences interact with their digital ecosystem.

The Role

As a Data Scientist – Digital Audience Analytics, you will be instrumental in understanding customer engagement patterns-how often audiences interact, where, and with what content. Your models and insights will inform programme targeting, communication strategies, and personalisation initiatives to maximise reach, loyalty, and conversion.

You will work closely with product, marketing, and content teams to ensure data shapes every customer touchpoint.

Key Responsibilities:

• Develop models to predict customer engagement patterns, channel preferences, and lifecycle behaviour.

• Analyse digital footprint data (page views, clicks, time spent, etc.) to uncover trends and opportunities for personalisation.

• Identify key audience segments based on behavioural, demographic, and transactional data.

• Support targeting strategies by developing recommendation systems and engagement scoring models.

• Present findings and actionable insights to product, marketing, and content teams.

• Help build experimentation frameworks to continuously refine audience strategies.

Skills & Experience:

• Strong background in predictive modelling, segmentation, and customer analytics.

• Skilled in SQL, Python, and digital analytics platforms (e.g., Google Analytics, Looker).

• Experience working with digital customer journey data across web, mobile, and app ecosystems.

• Ability to communicate data-driven insights clearly to non-technical stakeholders.

• Familiarity with recommendation engines, user journey analysis, or churn prediction models is advantageous.

Register your interest by sending your CV to Daniel Abbasi via the apply link on this page.

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Data Scientist – Inventory & Pricing Analytics

Location: Manchester (Hybrid – 2 days onsite)
Salary: £60,000-£90,000

The Company

A global content powerhouse is building a next-generation analytics hub, reshaping how millions interact with digital media across publishing, audio, and out-of-home platforms. With data at the core of their strategic direction, they are expanding their team and hiring a Data Scientist to focus on optimising one of their largest revenue streams-advertising inventory.

The Role

As a Data Scientist – Inventory & Pricing Analytics, you will play a pivotal role in optimising the company’s advertising inventory, pricing models, and revenue performance. You will work across datasets covering sales activity, inventory levels, supplier lead times, and customer demand to develop predictive models that inform effective pricing and stock management strategies.

This role demands both technical acumen and commercial awareness, as you’ll directly impact profitability through smarter pricing, stock optimisation, and predictive inventory management.

Key Responsibilities:

• Develop predictive and statistical models to optimise inventory management, pricing strategies, and advertising sales performance.

• Analyse inventory turnover, sales rates, supplier lead times, and customer demand to inform stock and order management decisions.

• Create dynamic pricing models based on supply, demand, seasonality, and campaign data.

• Deliver actionable insights that maximise revenue opportunities across multiple media channels.

• Collaborate with commercial, sales, and supply teams to embed data-driven decision-making across the business.

• Build scalable, reusable models and frameworks to inform long-term inventory and pricing strategy.

Skills & Experience:

• Strong statistical modelling and predictive analytics expertise.

• Proficiency in SQL and Python (or R) for data manipulation and model development.

• Experience working with commercial, sales, or inventory datasets.

• Strong stakeholder management skills with the ability to translate complex data into clear commercial recommendations.

Register your interest by sending your CV to Daniel Abbasi via the apply link in the page.

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SENIOR PRICING DATA SCIENTIST

£80,000

LONDON

Really exciting role here with a small and dynamic Insurtech who are going through an exciting period of change. This role offers the chance to work on their end-to-end model process, working in a fast-paced and challenging environment where you can take ownership for business performance.

THE COMPANY

This business are a lean and focused Insurtech who have a significant portion of the market. They have a small and close-knit team and are now looking to add a driven and motivated candidate to help them in a variety of projects, with modelling at the core.

THE ROLE

You can expect to:

• Develop cutting edge predictive models using Python and Machine Learning techniques
• Work on end-to-end ownership of these models, including work on implementation, deployment and enhancement
• Analyse large sets of customer data to drive insight and commercial performance
• Share insight with the wider team and helping to improve profitability across the business on ad hoc project work

YOUR SKILLS AND EXPERIENCE:

• At least 4 years prior experience within insurance
• Good knowledge of Python is essential
• Prior model development experience is essential – ideally conversion rate modelling
• Strong communication skills and desire to learn is key

SALARY AND BENEFITS

• Up to £80,000 base salary
• Discretionary bonus scheme
• Contributory pension scheme
• Remote-based work model
• 25 days holiday

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

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Head of Data Science & Analytics

£100,000-£120,000

Manchester (Hybrid)

The Company

A global content leader is establishing a cutting-edge analytics hub to revolutionise how millions engage with digital media. Operating across publishing, audio, and out-of-home platforms, they create content for some of the most recognisable consumer brands in the UK. With a vast, intricate dataset spanning audience behaviour, advertising effectiveness, and engagement trends, they are now seeking a Head of Data Science & Analytics to spearhead this transformation.

This is a rare, high-impact opportunity to build a centre of excellence within a business where data will directly drive content strategy, monetisation, and organisational direction.

The Role

As Head of Data Science & Analytics, you will architect and deliver predictive modelling and analytics strategies to enhance audience engagement and optimise revenue streams. You will lead a growing team specialising in digital analytics, revenue optimisation, and audience segmentation.

You will operate as both a strategic advisor and a technical authority-partnering closely with product, editorial, and commercial stakeholders while embedding scalable, best-in-class data science practices throughout the organisation.

Key Responsibilities:

• Lead and develop a high-performing team of data scientists, analysts, and engineers across multiple analytics domains.

• Define, implement, and evangelise best practices across product, digital, revenue, and audience analytics.

• Oversee the design and deployment of predictive and statistical models, with particular emphasis on inventory management, customer behaviour analysis, and campaign optimisation.

• Build reusable frameworks for experimentation, dynamic pricing, and targeted content strategies.

• Partner with senior stakeholders to ensure data-driven insights are actionable and integrated into key strategic decisions.

• Drive cultural and organisational change to enhance data-driven decision-making capabilities across the business.

• Own the UK analytics roadmap while fostering collaboration across European markets.

• Advise and influence at C-suite level, delivering insights that materially impact commercial outcomes.

Skills & Experience

Essential:

• Minimum of 8 years’ experience in data science, analytics, or insight leadership roles.

• Expertise in SQL, A/B testing methodologies, and building statistical or predictive models.

• Proven success leading cross-functional teams within product, content, or commercial analytics environments.

• Strong stakeholder management capabilities, particularly in fast-paced, dynamic organisations.

• Demonstrated ability to develop talent and embed a high-performance, data-centric culture.

• Ability to translate complex data into clear, commercially actionable narratives for non-technical stakeholders.

• Prior experience within media, publishing, audio, or entertainment sectors.

Benefits

• Salary: Up to £120,000

• Hybrid Working: 2 days per week onsite in Manchester

How to Apply

Please send your CV to Daniel Abbasi at Harnham using the Apply link on this page or connect with Daniel directly to explore the opportunity in more detail.

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SENIOR PRICING DATA SCIENTIST

COMPETITIVE SALARY UP TO £80,000

LONDON, HYBRID WORKING (1 DAY PER WEEK IN THE OFFICE)

In this growth role, you’ll be working in a talented team and leading the conversion rate and market modelling function within the team, working on scaling an already fast-growing InsurTech.

THE COMPANY

This InsurTech is a data-driven and innovative organisation that leverages its advanced modelling techniques to provide specialist insurance products. You’ll be working in a close-knit team and joining at the beginning of their expansion.

THE ROLE

• Understand and analyse price elasticity and competitiveness in the market, implementing enhancements to models where required.
• Lead the conversion rate model and market model development, working across end-to-end modelling
• Utilise price comparison data to influence strategic decision-making and model inputs

YOUR SKILLS AND EXPERIENCE

• Experience developing models in open-source software
• Python proficiency
• Home insurance experience is ideal
• 4 years + experience in the insurance analytics space

THE BENEFITS

• Competitive salary up to £80,000
• Hybrid working (1 day in office per week)
• Bonus scheme
• Pension scheme
• Holiday entitlement

HOW TO APPLY

Please register your interest via the apply link on this page, or send your CV directly

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Retention Lead
Orpington – 3 days a week
Up to £80,000

The Role
This is a newly created role for a Retention Lead to take full ownership of customer retention strategy. With over 95% of revenue driven by subscriptions, and a new instant win product recently launched, there’s a real opportunity to reduce churn and increase customer lifetime value. You’ll work cross-functionally with marketing, CRM, product, customer service, and finance, acting as the strategic lead on all things retention.

Key Responsibilities

• Build and implement a comprehensive retention strategy that reduces churn and drives LTV

• Use behavioural insights and data to segment audiences and identify key engagement triggers

• Collaborate with the CRM team on campaign strategy and copy development

• Develop and test offers and interventions to retain customers and boost engagement

• Support scripting and strategy for a 30-person contact centre to improve retention rates

• Identify gaps in the customer journey and develop targeted lifecycle comms

• Support cross-sell and upsell of new instant win products and subscription tiers

• Take a hands-on approach to CRM execution, working closely with internal teams

• Engage VIP players and high-value customers with personalised comms and offers

About You

• Strong background in retention within a digital subscription or consumer business

• Data-led mindset with experience using behavioural insights to shape strategy

• Confident in campaign management and lifecycle marketing

• Collaborative and able to work across teams including CRM, product, and customer service

• Experience working with contact centres and scripting is a plus

• Previous exposure to the instant win or soft gambling sector is a bonus

• Comfortable in a scale-up environment with evolving priorities and lots of ownership#

Why Apply?
This is a rare opportunity to define the retention strategy in a high-growth business where you can make an immediate impact. You’ll work alongside a smart, commercially-minded leadership team and play a central role in shaping how the business retains and grows its loyal customer base.

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SENIOR PRICING PORTFOLIO ANALYST

COMPETITIVE SALARY UP TO £70,000

LONDON, HYBRID (1 DAY PER WEEK IN OFFICE)

In this role, you’ll be working within a talented team and be focusing on delivering rate changes and wider pricing development/deployment. You’ll be able to liaise with various teams across the business and drive portfolio performance.

THE COMPANY

This company is an exciting InsurTech based in London, delivering innovative insurance solutions to a large number of customers across the UK. You’ll be working within a close-knit team and have the responsibility to drive real change.

THE ROLE

• Development of new and existing tools to ensure robust management of the portfolio and underwriting performance
• Identify and propose new opportunities to expand the company’s pricing footprint
• Provide data-driven pricing reviews to assess the efficacy of rules and understand new trends
• Introduce innovative approaches to pricing and portfolio management by continuously refining methodologies

YOUR SKILLS AND EXPERIENCE

• Proficiency in R or Python, as well as proficiency in SAS/SQL
• 3 years + of Personal Lines insurance analytics experience
• 2^nd line modelling experience
• Experience working with Rate Changes

THE BENEFITS

• Competitive salary up to £70,000
• Hybrid working (1 day per week inthe office)
• Bonus scheme
• Pension scheme
• Holiday entitlement

HOW TO APPLY

Please register your interest via the apply link on this page or send your CV directly

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