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Data Engineer
London (1 day per month in office)
Up to £60,000 + Benefits

This is an excellent opportunity for a Data Engineer to join a growing Business Intelligence function and play a key role in shaping analytics and reporting capability across the business. You’ll work with modern data technologies, build scalable solutions, and help drive data-led decision making across the organisation.
The Company
They are a growing organisation investing heavily in their data and analytics capabilities to support business performance and strategic decision making. Their Business Intelligence team is focused on delivering high-quality, scalable data solutions that empower stakeholders with reliable insights. This is a collaborative environment where data plays a central role in driving business success.
The Role
You will:

• Build and maintain reliable data pipelines that integrate, clean, and structure data from multiple sources.
• Design and optimise data models to support reporting and analytics requirements.
• Create scalable data assets that enable business teams to generate actionable insights.
• Implement data quality controls, validation processes, and error handling to ensure data integrity.
• Work closely with stakeholders to understand requirements and deliver impactful data solutions.
• Contribute to the continued development of reporting and analytics capabilities across the business.

Your Skills & Experience

• Strong commercial experience in data engineering and data integration.
• Hands-on experience with DBT.
• Advanced SQL skills for data transformation and automation.
• Experience working with Snowflake and cloud-based data platforms.
• Strong understanding of data modelling and data warehousing concepts.
• Experience building dashboards and reports using Power BI.
• Knowledge of data quality assurance, validation processes, and troubleshooting.
• Strong communication skills with the ability to engage technical and non-technical stakeholders.

What They Offer

• Salary up to £60,000.
• Comprehensive benefits package.
• Hybrid working with just one day per month in the London office.
• Opportunity to work with modern data technologies in a growing data function.
• Clear opportunities for career progression and professional development.
• The chance to shape data solutions that deliver measurable business impact.

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Data Scientist
Join a growing Data Science team within an insurance business where you’ll tackle complex pricing challenges, build production-ready machine learning models, and work on projects that directly influence commercial outcomes. This is a great opportunity for someone who enjoys solving business problems as much as building models.

The Role
You will:

• Build, validate and deploy machine learning and statistical models
• Work with Python, SQL, Databricks and PySpark to analyse large datasets
• Solve pricing and risk-related business challenges
• Explore new data sources and test innovative ideas
• Own projects from problem definition through to implementation
• Present insights to technical and non-technical stakeholders
• Support and mentor junior Data Scientists

Your Skills & Experience

• Strong commercial Data Science experience
• Advanced Python and SQL skills
• Experience with Databricks and/or PySpark
• Knowledge of machine learning techniques such as XGBoost and LightGBM
• Strong statistical modelling capability
• Excellent problem-solving and stakeholder management skills
• Experience in insurance, financial services, or another regulated environment is advantageous

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The Opportunity

A global subscription-led business is seeking a Senior Analyst to join its Analytics & Insights team.

This role focuses on understanding subscriber/customer behaviour and performance across multiple international markets. You’ll work with stakeholders across commercial, marketing and product teams to provide insights that support customer acquisition, retention and engagement strategies.

The successful candidate will be comfortable working with large datasets, designing analytical approaches to answer business questions, and presenting findings in a clear and actionable way.

Key Responsibilities

• Analyse subscriber growth, retention and engagement trends, providing recommendations to support business objectives.
• Translate complex data into clear insights for a range of stakeholders.
• Design and evaluate experiments using robust statistical methodologies.
• Develop and maintain dashboards, reports and visualisations to monitor performance.
• Support the adoption of self-service analytics and data-informed decision making.
• Identify opportunities to improve reporting processes and analytical workflows.
• Build strong relationships with stakeholders across different functions and markets.
• Manage and prioritise analytical requests, ensuring timely delivery of insights.

Skills & Experience

• Previous experience in an analytics, insights or business intelligence role.
• Strong stakeholder management and communication skills, with the ability to influence decision making through data.
• Advanced SQL skills and experience working with large, complex datasets.
• Experience using visualisation tools such as Tableau, Power BI or Looker.
• Strong understanding of statistical techniques, including hypothesis testing, regression analysis and experimentation.
• Experience using Python, R or another statistical programming language.
• Ability to work independently and manage multiple priorities.
• Experience using AI tools to improve analytical workflows would be beneficial.

Benefits

• 25 days annual leave
• Private medical insurance

Apply

If you’re looking for a role where you can use data to help shape commercial decisions and customer strategy within a large-scale subscription business, we’d be keen to hear from you.

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Lead AI Engineer
London (Hybrid) | Up to £110,000 + 15% Bonus + Excellent Benefits
This is an opportunity to join a business investing heavily in AI and automation, where you will play a key role in shaping and delivering production-grade Generative AI solutions at scale. Working across high-impact initiatives, you will have the autonomy to influence technical strategy, own solution delivery, and drive measurable business outcomes.

The Company
They are a well-established, technology-driven organisation undergoing significant AI transformation. With strong executive sponsorship and a growing pipeline of AI initiatives, they are embedding AI into critical business processes to improve customer experience, operational efficiency, and decision-making.
You will join a newly established AI function within a wider engineering and MLOps environment, working alongside experienced engineers to deliver innovative, enterprise-scale AI products. The team operates in a fast-paced, collaborative setting where technical expertise and commercial impact are highly valued.

The Role
As a Lead AI Engineer, you will take ownership of the design, architecture, and delivery of AI solutions from concept through to production.
Responsibilities include:
* Leading the end-to-end delivery of Generative AI and agentic AI solutions
* Designing and building LLM-powered applications and intelligent automation tools
* Making key architecture, tooling, and platform decisions across multiple initiatives
* Evaluating build versus buy approaches and recommending scalable solutions
* Establishing engineering standards, reusable frameworks, and best practices
* Ensuring AI systems are production-ready through monitoring, evaluation, governance, and observability
* Working closely with engineering, security, data protection, and business stakeholders
* Providing technical leadership and mentoring across AI workstreams
* Driving AI initiatives that deliver measurable operational and commercial value

Your Skills & Experience
You will demonstrate strong commercial experience in:
* Delivering Generative AI solutions into production environments
* Leading AI projects end-to-end, from discovery through deployment
* Designing scalable AI architectures within enterprise environments
* Building LLM-powered applications, RAG solutions, and agent-based systems
* Software engineering fundamentals, including APIs, distributed systems, and cloud platforms
* Technical decision-making in fast-moving or ambiguous problem spaces
* Working within governance, security, and compliance frameworks
* Influencing stakeholders and communicating complex technical concepts clearly
Desirable experience includes:
* AWS cloud technologies
* MLOps or LLMOps practices
* Financial services or other regulated industries
* Building reusable AI platforms, frameworks, or internal products

What They Offer
* Salary up to £110,000
* 15% annual bonus
* Hybrid working with flexibility and a strong focus on outcomes
* Generous pension contribution
* Private medical cover
* Enhanced parental leave policies
* Holiday purchase scheme
* The opportunity to influence AI strategy across a growing function
* Exposure to a broad range of cutting-edge Generative AI use cases
* High visibility and genuine ownership of business-critical AI initiatives

How to Apply
If you are an experienced Lead AI Engineer with a proven track record of delivering production-grade Generative AI solutions, apply today to discuss this opportunity in more detail.

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Senior Data Analyst

Up to £90,000
Fully Remote (UK)

I’m hiring a Senior Data Analyst for a fast-growing, product-led betting business where analytics sits at the heart of decision-making.

This is a broad, commercially focused analytics role for someone who can combine strong SQL, stakeholder engagement, and BI expertise to help shape product, growth, customer, and commercial decisions. You’ll be joining a business with a highly mature analytics environment, a modern data stack, and a genuine appetite for data-driven decision making.

The role

You’ll sit within the Analytics team, reporting into the Analytics Manager, and act as a senior individual contributor supporting stakeholders across:

• Product
• Growth
• Commercial
• Trading
• Sportsbook
• Casino

This role isn’t about being given perfectly defined briefs.

They’re looking for someone who can take vague business questions, understand what stakeholders are really trying to solve, and translate those challenges into structured analytical approaches and meaningful recommendations.

What you’ll be doing

• Build and improve BI reporting and self-serve analytics capabilities using Omni.
• Translate stakeholder requests into clear analytical frameworks and delivery plans.
• Support strategic projects including customer intelligence, segmentation, lifecycle engagement, and experimentation.
• Create dashboards, tools, and analysis that help stakeholders answer questions independently.
• Partner closely with Product, Growth, Commercial, Trading, Casino and Sportsbook teams.
• Identify opportunities, risks, and behavioural trends within customer and commercial data.
• Support experimentation and A/B testing initiatives.
• Help raise BI standards and improve analytical maturity across the organisation.

The team

You’ll join a growing analytics function and work alongside a team of Senior Data Analysts, an Analytics Manager, a BI Analyst and Analytics Engineering support.

The wider team is focused on:

• Customer intelligence
• Product analytics
• Experimentation
• Self-serve analytics
• Commercial performance
• Growth analytics

This role is expected to operate with a high degree of autonomy and ownership

What they’re looking for

Must-haves

• 5+ years’ experience in data analytics.
• Advanced SQL skills.
• Strong BI experience (ideally Looker, Omni, or similar semantic-layer tools).
• Experience building dashboards and self-serve analytics solutions.
• Strong stakeholder engagement and communication skills.
• Ability to independently structure and deliver analytical work.
• Experience influencing business decisions through insight and recommendations.

Strongly preferred

• Betting, gaming, gambling, fintech, travel, marketplace, or other high-frequency consumer environments.
• Experimentation and A/B testing experience.
• Customer, product, or growth analytics experience.

Nice to have

• dbt exposure
• Python experience
• Conversational or natural-language analytics exposure

What success looks like

Within the first 6-12 months you’ll:

• Build trusted relationships across Product, Growth and Commercial teams.
• Improve reporting quality and consistency.
• Deliver self-serve tools that reduce reactive requests.
• Make a meaningful contribution to customer intelligence initiatives.
• Deliver analysis that influences real commercial decisions.

Why this role?

• Fully remote working
• Modern analytics stack
• Strong product and growth culture
• Significant ownership and autonomy
• Opportunity to shape the future of BI and self-serve analytics
• Exposure to experimentation, customer intelligence, and new market expansion
• High-growth environment where data genuinely influences decision-making

Package

• Up to £90,000 salary
• Private health insurance
• Income protection
• Enhanced holiday allowance
• Fully supported home office setup
• Retail discounts and perks
• Quarterly socials
• Strong progression opportunities into strategic analytics roles

Interview process

1. Introductory discussion with the Analytics Manager
2. Technical case study and panel interview

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Product Analyst

Fully remote

£60,000 – £70,000 + bonus

This is an opportunity for a Senior Product Analyst to take ownership of product growth analytics within a fast-growing digital platform. You’ll work at the heart of product decision-making, driving experimentation, influencing roadmap priorities, and uncovering insights that directly impact customer acquisition, activation, and retention.

The Company

They are a high-growth, consumer-focused technology business with a strong product-led culture and an expanding international customer base. Data plays a central role in how they build products, improve customer experiences, and drive commercial outcomes. With significant investment in analytics, experimentation, and innovation, they offer an environment where analytical thinking is genuinely valued. The organisation operates with a remote-first mindset and prioritises collaboration, learning, and continuous improvement.

The Role

You will:

• Own product analytics across key customer growth and revenue journeys.
• Analyse acquisition, conversion, activation, engagement, and retention performance to identify opportunities for improvement.
• Design, execute, and evaluate A/B and multivariate experiments to optimise the user experience.
• Define tracking requirements, success metrics, and measurement frameworks for new product features.
• Build dashboards and self-service reporting solutions to empower stakeholders with data-driven insights.
• Partner closely with Product, Commercial, and Leadership teams to influence decision-making.
• Translate complex analysis into clear, actionable recommendations.
• Support and mentor analysts, helping to elevate analytics best practice across the wider team.

Your Skills & Experience

You will have:

• Strong commercial experience in product analytics within a digital business, marketplace, subscription platform, SaaS organisation, or similar environment.
• Advanced SQL skills and the ability to independently manage end-to-end analytical projects.
• Experience with product analytics and event tracking platforms such as Amplitude, Mixpanel, Segment, or equivalent tools.
• Strong knowledge of experimentation methodologies, including A/B testing and statistical analysis.
• Excellent understanding of product performance metrics, including conversion, activation, engagement, retention, and churn.
• The ability to communicate complex findings clearly to both technical and non-technical audiences.
• A proactive mindset, with the confidence to identify opportunities and make recommendations independently.
• Exposure to Python, R, dbt, or AI-powered analytics tools would be beneficial.

What They Offer

• Salary of £65,000 – £70,000.
• Performance-related bonus.
• Generous equity package.
• Fully remote working within the UK.
• Private healthcare and wellbeing support.
• Home office allowance and equipment provision.
• Dedicated personal development opportunities and learning budget.
• Enhanced annual leave allowance.
• Clear opportunities to influence product strategy and progress your career within a growing analytics function.

How to Apply

If you’re a Senior Product Analyst looking to shape product strategy through experimentation, customer insight, and data-driven decision-making, apply today to learn more about this opportunity.

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Senior Digital Analyst
Manchester Hybrid (3x day per week)
£60,000 – £70,000

The Company

They are a well-established digital platform business with a strong focus on technology, data, and customer experience. Significant investment across Product, Engineering, Data, and AI has created a sophisticated analytics ecosystem where data plays a central role in decision-making.

Their analytics capability is deeply embedded within the organisation, providing access to detailed behavioural data and modern tracking infrastructure. You will join a collaborative environment where analysts partner closely with Product, Engineering, Marketing, and Data Science teams to drive measurable business impact.

The Role
As a Senior Analyst, you will focus on behavioural analytics, audience measurement, and customer journey analysis within a product-led environment.
You will:

• Analyse customer behaviour across complex digital journeys to identify opportunities for product and commercial improvements
• Develop audience measurement frameworks and build deeper understanding of customer segments and behaviours
• Work directly with event-level behavioural data to generate actionable insights
• Explore and validate tracking implementations to ensure accurate measurement of customer interactions
• Translate analytical findings into recommendations for Product, Engineering, Marketing, and Data Science stakeholders
• Support personalisation initiatives through audience analysis and behavioural insight
• Apply statistical techniques to answer business and product questions
• Investigate customer journeys, conversion behaviours, and engagement patterns
• Contribute to experimentation and testing programmes where relevant
• Lead analytical projects from problem definition through to stakeholder recommendation

Your Skills & Experience

• Strong commercial experience in Product Analytics, Digital Analytics, Web Analytics, Customer Analytics, or a related analytical field
• Advanced SQL skills and experience working with large-scale behavioural or event-level datasets
• Experience analysing customer journeys, user behaviour, and digital product performance
• Strong understanding of tracking methodologies and digital measurement frameworks
• Ability to communicate complex analytical findings clearly to both technical and non-technical audiences
• Experience partnering with Product, Engineering, Marketing, or Data Science stakeholders
• Strong statistical knowledge and a structured approach to problem solving
• Comfortable managing ambiguous business questions and translating them into analytical solutions

What They Offer

• Salary up to £70,000 with flexibility for exceptional candidates
• 10% annual share award
• Hybrid working model, three days per week in the Manchester office
• Access to a highly mature analytics and data environment
• Opportunity to work with rich behavioural and event-level datasets
• Exposure to Product, Engineering, Data Science, and AI teams
• Strong career development opportunities within a large and established analytics community
• High visibility and influence across product and business decision-making

How to Apply
If you’re an experienced Senior Analyst with strong behavioural analytics and stakeholder management skills, apply today to discuss this opportunity in more detail.

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