Senior Pricing Portfolio Analyst
London / £50000 - £70000 annum
INFO
£50000 - £70000
LOCATION
London
Permanent
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
- 2nd 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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Interim Brand & Communications Director (3-Month Contract)
Start Date: Ideally w/c 20 May
Location: Hybrid – 1 day per week onsite in Leicestershire
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DATA MANAGEMENT CONSULTANT
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HYBRID – SOUTHEAST LONDON – 3 days a week in the office
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The Company
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Support targeting strategies by developing recommendation systems and engagement scoring models.
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Present findings and actionable insights to product, marketing, and content teams.
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Help build experimentation frameworks to continuously refine audience strategies.
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Strong background in predictive modelling, segmentation, and customer analytics.
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Skilled in SQL, Python, and digital analytics platforms (e.g., Google Analytics, Looker).
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Experience working with digital customer journey data across web, mobile, and app ecosystems.
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Ability to communicate data-driven insights clearly to non-technical stakeholders.
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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.
To Apply for this Job Click Here

Data Scientist – Pricing and Inventory
Manchester
£60000 - £90000
+ Data Science & AI
PermanentManchester, Greater Manchester
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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.
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Develop predictive and statistical models to optimise inventory management, pricing strategies, and advertising sales performance.
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Analyse inventory turnover, sales rates, supplier lead times, and customer demand to inform stock and order management decisions.
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Create dynamic pricing models based on supply, demand, seasonality, and campaign data.
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Deliver actionable insights that maximise revenue opportunities across multiple media channels.
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Collaborate with commercial, sales, and supply teams to embed data-driven decision-making across the business.
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Build scalable, reusable models and frameworks to inform long-term inventory and pricing strategy.
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Strong statistical modelling and predictive analytics expertise.
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Proficiency in SQL and Python (or R) for data manipulation and model development.
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Experience working with commercial, sales, or inventory datasets.
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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.
To Apply for this Job Click Here

Senior Pricing Data Scientist
London
£65000 - £83000
+ Risk Analytics
PermanentLondon
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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
To Apply for this Job Click Here

Head of Data Science & Analytics
Manchester
£100000 - £120000
+ Data Science & AI
PermanentManchester, Greater Manchester
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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.
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Key Responsibilities:
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Lead and develop a high-performing team of data scientists, analysts, and engineers across multiple analytics domains.
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Define, implement, and evangelise best practices across product, digital, revenue, and audience analytics.
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Oversee the design and deployment of predictive and statistical models, with particular emphasis on inventory management, customer behaviour analysis, and campaign optimisation.
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Build reusable frameworks for experimentation, dynamic pricing, and targeted content strategies.
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Partner with senior stakeholders to ensure data-driven insights are actionable and integrated into key strategic decisions.
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Drive cultural and organisational change to enhance data-driven decision-making capabilities across the business.
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Own the UK analytics roadmap while fostering collaboration across European markets.
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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.
To Apply for this Job Click Here

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