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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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Retention Lead (3 Days/Week – Up to £80,000
Location: Orpington (Hybrid)

A fast-scaling subscription business in the prize competition space is looking for a Retention Lead to take full ownership of customer retention strategy and execution. With strong brand partnerships, rapid growth, and new product lines (including instant win games), the company is entering its next phase – and needs someone to keep customers engaged, loyal, and active.

The Role:
This is a high-impact, standalone role for someone who knows how to reduce churn, drive lifetime value, and make sense of behavioural data. Working closely with CRM, customer service, product and marketing, the Retention Lead will design and deliver strategies that keep users coming back – from smarter campaigns to contact centre scripts to VIP game player engagement.

Key Responsibilities:

• Own retention strategy across subscriptions and new game products

• Spot drop-off points and design interventions to reduce churn

• Work hands-on with CRM to deliver segmented campaigns

• Collaborate on contact centre scripting to improve outcomes

• Use data to guide decisions and measure impact

• Cross-sell/upsell where relevant to increase LTV

About You:

• Proven experience in a retention or lifecycle role (ideally digital/subscription)

• Confident with data, segmentation, and customer journeys

• Comfortable getting stuck into CRM execution and testing

• Collaborative, hands-on, and outcome-focused

• Bonus: exposure to instant win games, contact centres, or international markets

Why Apply?

• Key strategic role in a business growing fast

• Flexibility (3 days/week) with hybrid working

• Big impact, strong leadership support, and no red tape

Ready to make your mark?
Apply now and help shape the future of customer loyalty in a standout digital business.

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Head of Data Science & Analytics
London (Hybrid – 2 days in office)
Up to £120,000 + benefits

A leading international media group is looking for a Head of Data Science & Analytics to lead data-driven strategy across digital, audio, advertising, and competitions.

You’ll be joining the Audio division, working at the heart of one of Europe’s most recognisable media businesses. This is a high-impact leadership role shaping how data is used across products, pricing, audience insights, and more.

What You’ll Do:

• Lead a growing team of analysts, data scientists, and BI engineers across the UK and EU

• Build and deploy predictive models to understand audience behaviour, revenue performance, and campaign effectiveness

• Guide data strategy across key areas: digital engagement, ad inventory pricing, and competition targeting

• Act as a strategic partner to stakeholders across planning, legal, commercial and product teams

• Establish best practices and help embed a “boutique consultancy” approach to internal analytics

What You’ll Bring:

• Strong experience in data science, product analytics, or commercial analysis

• Hands-on experience with SQL and A/B testing

• Proven ability to lead cross-functional teams and deliver actionable insights

• Excellent communication skills – approachable, engaging, and collaborative

• (Bonus) Background in media, advertising, or gambling sectors

This is a rare opportunity to shape how data is used in a major media environment – bringing together analytics, innovation, and commercial thinking.

Apply now to lead the charge in redefining how audience data powers a major content powerhouse.

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Senior Data Scientist
London (Hybrid – 2 days in office)
Up to £90,000 + benefits

A major international media group is looking for a Senior Data Scientist to join their growing data function within the Audio division – home to some of the UK’s most recognisable digital and broadcast brands.

You’ll be using your technical skills and business acumen to shape high-impact data projects around audience insights, advertising inventory, and competitions. This is a hands-on role, working closely with cross-functional teams across the UK and Europe to improve decision-making and unlock commercial value through data.

What You’ll Be Working On:

• Building predictive models to better understand audience behaviour, engagement, and revenue outcomes

• Analysing advertising inventory and pricing strategy to support a key revenue stream

• Driving insights from competitions data – understanding participation patterns, audience segmentation, and ROI

• Collaborating with engineers, analysts and product stakeholders to embed data into everyday decision-making

• Supporting the wider data function in operating as an internal “consultancy” within the business

Tech & Experience:

• Strong knowledge of SQL and Python

• Hands-on experience with A/B testing and statistical modelling

• Background in product analytics or commercial data projects

• Comfortable working with stakeholders across tech and non-tech functions

• Great communication skills – personable, curious, and clear in explaining complex ideas

• (Bonus) Experience in media, gambling, or advertising environments

This is a brilliant opportunity to join a high-visibility team in a creative, fast-paced industry – with the chance to work on diverse and meaningful projects that impact millions of users.

Apply now to be part of a team shaping the future of audio data in one of the UK’s most exciting media organisations.

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Media Data Analyst
London (Hybrid – 2 days in office)
Up to £60,000 + benefits

A leading international media group is looking for a Data Analyst to join their growing data team within the Audio division – home to some of the UK’s most well-known radio and digital content brands.

This is an exciting opportunity to work on high-visibility projects that combine audience insights, advertising strategy, and competition performance to shape how millions interact with digital media content.

What You’ll Work On:

• Analyse audience behaviour across digital and audio platforms – who’s listening, how often, and through what channels

• Support commercial teams in optimising advertising inventory and pricing decisions

• Deep dive into competition data – helping identify trends, patterns, and smarter targeting strategies

• Build dashboards, generate reports, and present clear, actionable insights to stakeholders

• Collaborate with teams across product, marketing, legal, and planning to support data-informed decision making

What You’ll Bring:

• Experience with SQL and strong analytical tools (Excel, Python, or BI platforms)

• Knowledge of A/B testing and experimental design

• Strong problem-solving mindset with a commercial lens

• Ability to communicate findings in a clear, compelling way

• Friendly, curious, and easy to work with – someone who enjoys collaboration

• (Bonus) Background in product analytics, advertising, or competitions (e.g., gambling sector)

Join a team that operates like a boutique internal consultancy – using data to drive creativity and smarter business decisions across the UK and Europe.

Apply now to play a key role in shaping the future of audio and digital media insights.

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Insights Analyst
Location: Hybrid (2 days a week in London)
Salary: Up to £28,000 + benefits

Kickstart Your Career in Consumer Insight!

A fast-growing, forward-thinking insights agency is on the lookout for a curious and detail-oriented Insights Analyst to join their team. This role offers the chance to work across a variety of well-known global brands, helping uncover what truly drives consumer behaviour.

About the Agency:
Specialises in delivering actionable insights using a mix of consumer, brand, category, and behavioural data
Known for innovative use of social listening tools (e.g. Brandwatch) to decode online conversations at scale
Works on a project-by-project basis across multiple client accounts for maximum variety and learning
A collaborative and supportive team environment with strong focus on learning and development

What You’ll Do:
Dive into data to identify emerging trends and themes in consumer attitudes and behaviours
Use tools like online reviews, Google Search data, and social listening to build a picture of what matters to consumers
Contribute to the creation of visually engaging reports and deliver clear insights to stakeholders
Present findings to clients and internal teams, turning data into meaningful stories and opportunities

What We’re Looking For:
✅ At least 6 months’ experience in insights, research or data analysis
Additional European language skills (e.g. French, German, Spanish, Italian, Portuguese) are a big plus
Comfortable working with large datasets and turning complex information into simple, actionable insights
Strong analytical mindset with a problem-solving approach
Exposure to both quantitative and qualitative methods preferred

What’s on Offer:
Up to £28,000 salary + benefits
Hybrid working – 2 days per week in a central London office
2-stage interview process (intro chat + case study presentation)

If you’re ready to grow your career in insights and work on exciting, varied projects-this is the role for you!
Let’s talk – this could be your next big move.

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