To Apply for this Job Click Here

Data Scientist – London 2 days

Looking to combine hands-on data science with client-facing analytics projects? This is an opportunity to join a well-established data and analytics consultancy where you’ll work on predictive modelling projects, collaborate directly with clients, and help turn complex datasets into actionable business outcomes. You’ll have exposure to a broad range of industries and the chance to influence both project delivery and the development of data-driven products.

The Company
They are a leading data and analytics consultancy that combines proprietary data assets with advanced analytical expertise to help organisations make better decisions. Operating across a range of sectors including utilities, telecommunications, financial services and the not-for-profit space, they deliver solutions that blend data, technology and commercial insight.

Their teams work across analytics, data science and product development, using modern cloud technologies and large-scale datasets to solve business challenges and create measurable value for clients.

The Role
As a Data Scientist, you will:

• Build and refine predictive models, including propensity and customer behaviour models
• Work closely with clients to understand business problems and define analytical approaches
• Lead and contribute to data discovery sessions with business stakeholders and subject matter experts
• Analyse large datasets to identify trends, patterns and opportunities
• Present findings, recommendations and model outputs to both technical and non-technical audiences
• Prototype and test new analytical approaches using modern data science tools and techniques
• Contribute to the optimisation and ongoing improvement of deployed models
• Support the development of scalable data products and analytical solutions

Your Skills & Experience

• Strong commercial experience using Python and SQL
• Experience building, training and improving machine learning or predictive models
• Ability to analyse complex datasets and translate findings into business insight
• Databricks experience would be highly advantageous
• Experience working with large transactional, behavioural or customer datasets
• Consulting, agency or client-facing analytics experience is beneficial
• Strong communication skills with the ability to engage both technical and non-technical audiences

To Apply for this Job Click Here

To Apply for this Job Click Here

CRO Developer

£50,000 – £60,000

Hybrid – Manchester (3x days per week)

This is a rare opportunity to join a growing digital business where experimentation sits at the heart of decision making. With strong investment in CRO and testing, you will play a key role in creating, deploying, and analysing experiments across high traffic digital platforms. This position offers the chance to make a direct commercial impact while working with modern experimentation tools and technologies.

The Company

They are an established digital performance business operating across multiple international markets. Through a portfolio of proprietary digital platforms, they manage and optimise the full customer journey from acquisition through to conversion. Their data-driven approach to growth has created a strong culture of experimentation, with significant opportunities to improve customer experiences through testing. Continued expansion has led to investment in building internal CRO and experimentation capability.

The Role

As a CRO Developer, you will be responsible for building, implementing, and maintaining A/B tests and experiments across a range of digital products. You will work closely with analysts, marketers, designers, and stakeholders to translate hypotheses into live experiments that drive measurable business results.

• Build and deploy A/B and multivariate tests using HTML, CSS, and JavaScript
• Develop high-quality experiment code across websites and digital platforms
• Work with CRO and product stakeholders to turn testing ideas into live experiments
• Implement personalisation and experimentation campaigns using leading CRO tools
• Ensure experiments are technically robust, performant, and accurately tracked
• Debug, troubleshoot, and optimise testing implementations
• Collaborate with analytics teams to support experiment measurement and reporting
• Contribute to experimentation best practices, processes, and governance
• Identify technical opportunities to improve customer journeys and conversion performance

Your Skills & Experience

• Strong commercial experience as a CRO Developer, Front End Developer, or Experimentation Developer
• Hands-on experience building and deploying experiments using HTML, CSS, and JavaScript
• Experience with CRO and experimentation platforms such as Optimizely, VWO, AB Tasty, Convert, Dynamic Yield, or similar
• Strong understanding of A/B testing methodologies and experimentation principles
• Experience working with web analytics and performance measurement tools
• Ability to write clean, efficient, and maintainable front-end code
• Understanding of customer journeys, user behaviour, and conversion optimisation
• Comfortable working closely with technical and non-technical stakeholders
• Experience within performance marketing, ecommerce, lead generation, or high traffic digital environments is beneficial

What They Offer

• £50,000 – £60,000 base salary
• Bonus scheme
• Hybrid working model with flexibility
• Opportunity to help shape a growing experimentation function
• Exposure to high traffic digital products and large-scale testing programmes
• Strong career progression opportunities
• Collaborative and data-driven environment

How to Apply

If you are a CRO Developer with experience building and deploying experiments using HTML, CSS, and JavaScript, apply now to learn more about this opportunity.

To Apply for this Job Click Here

To Apply for this Job Click Here

Conversion Rate Optimization (CRO) Manager

£50,000 – £60,000

Hybrid – Manchester (3x days per week)

This is a rare opportunity to build a Conversion Rate Optimisation function from the ground up within a high growth digital business. With strong leadership backing and significant investment in experimentation, you will have the autonomy to shape strategy, deliver measurable impact, and establish best practice across multiple customer journeys.

The Company

They are a well established digital performance business operating across international markets, focused on connecting consumers and businesses through a portfolio of proprietary platforms. Their model centres on owning and optimising the full customer journey, enabling greater control over acquisition, experimentation, and conversion. With a broad range of digital products and high traffic environments, they offer a strong foundation for innovation in experimentation. Continued growth and expansion have created a clear opportunity to bring CRO capability fully in house.

The Role

You will take ownership of the CRO roadmap and lead experimentation across multiple brands and products. This is a hands on role with scope to evolve into team leadership as the function grows.

• Own and deliver the CRO strategy across multiple digital platforms
• Design and execute A/B and multivariate tests to improve performance
• Identify and prioritise opportunities across varied customer journeys and acquisition funnels
• Build structured experimentation frameworks and best practice processes
• Collaborate with development teams to implement testing activity
• Analyse user behaviour and performance data to drive optimisation decisions
• Measure, report, and communicate commercial impact to stakeholders
• Partner with marketing, PPC and media teams to align experimentation with acquisition strategy
• Support the long term growth of the CRO capability, including future team development

Your Skills and Experience

• Strong commercial experience in Conversion Rate Optimisation and experimentation
• Hands on experience coding experiments (A/b tests etc) with HTML, CSS and/or JavaScript.
• Proven ability to design and run structured testing programmes
• Experience with CRO tools such as Optimizely, VWO, Convert or similar platforms
• Solid understanding of user behaviour, customer journeys, and funnel optimisation
• Experience working with high traffic websites or digital products
• Confident stakeholder management and communication skills
• Ability to work autonomously and take ownership of delivery
• Commercial mindset with a focus on measurable business outcomes
• Exposure to lead generation environments or performance marketing is advantageous

What They Offer

• £50,000 to £60,000 base salary
• Bonus scheme
• Hybrid working model with flexibility
• Opportunity to build and lead a CRO function
• High level of ownership and influence from day one
• Clear progression as the function scales

How to Apply

If you are interested in building and shaping a CRO function within a growing digital business, apply now to find out more.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior AI Product Engineer II

$192,000-$249,000 + Equity

3 days/week on-site

Overview

A fast-growing SaaS organization is seeking a Senior AI Product Engineer to develop and deliver AI-powered product experiences. This role focuses on transforming large language model (LLM) capabilities, retrieval systems, and agent-based workflows into intuitive, production-ready customer features.
The ideal candidate combines strong full-stack engineering expertise with practical experience building AI applications. You will work closely with product, design, and AI specialists to create scalable, user-centric solutions that improve complex business workflows through intelligent automation.

Key Responsibilities

• Design, build, and maintain AI-powered product features across the full stack using modern frontend and backend technologies.
• Develop responsive user interfaces that support real-time and streaming AI interactions.
• Integrate AI services, orchestration layers, retrieval systems, and agent workflows into customer-facing experiences.
• Collaborate with AI and machine learning teams to define APIs, output formats, and user interaction patterns.
• Translate sophisticated AI capabilities into practical, intuitive workflows for end users.
• Identify and improve areas where model outputs create usability challenges or inconsistent experiences.
• Build feedback mechanisms that capture user sentiment and output-quality signals to support continuous improvement.
• Implement observability and analytics for AI features, including performance, engagement, completion rates, and user adoption metrics.
• Create reusable components, state-management patterns, and frontend frameworks that accelerate future AI feature development.
• Develop and maintain automated testing strategies across frontend, backend, and AI-enabled workflows.
• Participate in architecture discussions, design reviews, and technical mentorship activities.

Required Qualifications

Experience

• 7+ years of professional software engineering experience delivering production-grade applications.
• 2+ years of experience building AI-enabled product features.

Frontend

• Strong expertise in React and TypeScript.
• Experience building highly interactive user interfaces that manage asynchronous and real-time data.
• Knowledge of modern frontend architecture and state management patterns.

Backend

• Strong proficiency in Python, Node.js, and TypeScript.
• Experience designing and consuming APIs for AI platforms and distributed services.

AI & Machine Learning Applications

• Hands-on experience working with commercial LLM platforms and AI APIs.
• Strong understanding of:
  • Prompt engineering
  • Context management
  • Retrieval-Augmented Generation (RAG)
  • Evaluation and quality measurement frameworks
  • Structured outputs and response validation
• Familiarity with agent orchestration frameworks and multi-step AI workflows.

Real-Time Systems

• Experience implementing streaming architectures using technologies such as:
  • Server-Sent Events (SSE)
  • WebSockets
  • Streaming HTTP responses

Product & Collaboration

• Strong product mindset with a focus on usability and customer outcomes.
• Experience working cross-functionally with engineering, product management, design, and AI/ML teams.
• Ability to thrive in fast-paced environments with evolving requirements.

Preferred Qualifications

• Experience in governance, risk, compliance, security, audit, or other documentation-intensive enterprise domains.
• Experience with Model Context Protocol (MCP) or similar AI tool-use standards.
• Exposure to retrieval system design and debugging retrieval-quality issues.
• Experience creating review, annotation, or quality-feedback tooling for AI-generated outputs.
• Prior experience establishing engineering standards and mentoring team members.

Work Model / Location / Engagement Details

• Full-time position.
• Hybrid work environment with a combination of in-office collaboration and flexible remote work.
• High degree of cross-functional interaction with product, engineering, design, and AI teams.
• Opportunity to influence both product direction and AI feature strategy within a rapidly scaling organization.

To Apply for this Job Click Here

To Apply for this Job Click Here

Product Data Scientist

Hybrid – Sheffield (1x day per week)

£50,000 – £60,000

Are you a commercially minded Product Data Scientist who enjoys turning complex data into actionable insights? This is an opportunity to join a growing technology-led organisation where data plays a central role in shaping product strategy, improving customer outcomes, and driving business growth. You’ll have the chance to work across analytics, machine learning, customer journey analysis, and stakeholder engagement while influencing key business decisions.

The Company

They are a fast-growing, data-driven organisation that leverages technology to deliver impactful solutions to its customers. With a strong focus on innovation and continuous improvement, they are investing heavily in their data capabilities to support future growth. Their collaborative environment brings together product, commercial, operational, and technical teams to make better decisions through data. As they continue to scale, they are looking for a Product Data Scientist to help unlock deeper insights and create measurable business value.

The Role

You will:

• Analyse customer and user journeys to identify trends, opportunities, and areas for optimisation.
• Perform exploratory data analysis to understand product usage, engagement, and conversion behaviour.
• Develop predictive models, including churn prediction, engagement scoring, demand forecasting, and propensity modelling.
• Build customer segments and behavioural cohorts to support product, marketing, and customer success initiatives.
• Translate business questions into structured analytical approaches and actionable recommendations.
• Partner closely with engineering and data teams to define metrics and improve data models.
• Design and maintain dashboards, reports, and KPI frameworks for business stakeholders.
• Communicate complex analytical findings clearly to both technical and non-technical audiences.
• Support the adoption of data-driven decision making across the organisation

Your Skills & Experience

• Strong commercial experience as a Data Scientist, Product Data Scientist, Product Analyst, or similar analytics professional.
• Advanced SQL skills and experience working with cloud-based data warehouse environments.
• Strong Python or R capabilities for data analysis, statistical modelling, and machine learning.
• Experience building predictive models and applying analytical techniques to solve business problems.
• Understanding of customer journey analysis, funnel optimisation, retention analysis, and customer lifetime value metrics.
• Experience creating dashboards and visualisations using tools such as Power BI, Tableau, Looker, or similar.
• Ability to engage with stakeholders, gather requirements, and translate business needs into analytical solutions.
• Experience working with modern data platforms and analytics engineering environments is beneficial.

What They Offer

• Salary of £50,000 – £60,000.
• Hybrid working arrangement based in Sheffield.
• Opportunity to influence product and business strategy through data.
• Exposure to modern technologies including Snowflake, dbt, Python, and leading BI tools.
• A collaborative environment with strong cross-functional partnership.
• Clear opportunities for professional development and career progression as the data function continues to grow.

How to Apply

Register your interest today to learn more about this Product Data Scientist opportunity in Sheffield and discuss how your experience aligns with the role.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Pricing Analyst
Hybrid – Leicester (1x day per week)
£45,000 – £60,000 + bonus

Are you a commercially minded analyst looking to make a tangible impact through data-driven pricing decisions? This is an excellent opportunity to join a well-established organisation that is investing heavily in its analytics capabilities and offering genuine ownership, visibility, and career development within a high-performing team.

The Company
They are a forward-thinking organisation that places data and analytics at the centre of business decision-making. With continued investment in technology, pricing capability, and innovation, they are focused on delivering fair customer outcomes while driving sustainable business growth.
They foster a collaborative environment where analytical expertise is valued, new ideas are encouraged, and individuals have the opportunity to influence strategic decisions. This is an exciting time to join a growing team that is committed to continuous improvement and professional development.

The Role
As a Senior Pricing Analyst, you will play a key role in developing and enhancing pricing strategies that improve commercial performance and support business objectives.
Key responsibilities include:

• Designing and refining pricing segmentation strategies across products and customer groups
• Analysing portfolio performance to identify pricing opportunities, trends, and emerging risks
• Developing monitoring frameworks to assess pricing effectiveness and portfolio health
• Delivering actionable insights that improve pricing accuracy and commercial outcomes
• Supporting testing and optimisation initiatives to enhance pricing performance
• Working closely with underwriting, product, commercial, and analytics teams to influence business decisions
• Communicating complex analytical findings to both technical and non-technical stakeholders
• Contributing to the ongoing development of pricing and analytics capabilities across the business

Your Skills & Experience

• Strong analytical experience within pricing, modelling, forecasting, or quantitative analysis
• Understanding of insurance pricing principles, segmentation methodologies, or similar commercial analytics functions
• Experience using analytical tools such as Python, SQL, R, SAS, or comparable technologies
• Ability to interpret complex datasets and translate findings into clear business recommendations
• Strong stakeholder management and communication skills
• Commercial awareness and a data-driven approach to problem solving
• Proactive mindset with the ability to manage competing priorities in a fast-paced environment

What They Offer

• Salary of £45,000 – £60,000
• Hybrid working model with just 1 day per week in the Leicester office
• Performance-related bonus
• Generous pension contribution
• Life assurance and income protection
• Healthcare and wellbeing support
• Flexible benefits package
• Excellent learning and development opportunities
• Clear progression routes within a growing analytics function
• Supportive and collaborative working environment

How to Apply
If you’re interested in this Senior Pricing Analyst opportunity and would like to work in a business where analytics plays a key strategic role, apply today to learn more.

To Apply for this Job Click Here