Data Scientist
London / £50000 - £65000 annum
INFO
SALARY:
£50000 - £65000
LOCATION
London
Permanent
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
- 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
SIMILAR
JOB RESULTS
Braze CRM Consultant
Bristol
£400 - £440
+ Advanced Analytics & Marketing Insights
ContractBristol
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Braze MarTech Consultant
Bristol | Flexible Working | Outside IR35 | £400-440/day rate | 6 week Contract
This is an opportunity to join a fast-paced digital consultancy on a short-term contract supporting a range of well-known consumer brands. The project offers a mix of hands-on Braze delivery, solution design, and strategic MarTech consulting, making it ideal for someone who enjoys both technical execution and client engagement.
The Company
They are a specialist customer engagement and digital consultancy that helps organisations maximise the value of their CRM and marketing technology platforms. Working across a diverse portfolio of clients, they deliver customer lifecycle programmes, marketing automation solutions, and personalised customer experiences. Their team places a strong emphasis on collaboration, communication, and delivering high-quality outcomes for clients.
The Role and Deliverables
- Deliver complex CRM and lifecycle marketing solutions using Braze.
- Design and build personalised customer journeys across email, push notifications, and app channels.
- Gather client requirements and translate business objectives into technical specifications for development teams.
- Use Liquid scripting within Braze to create and support advanced personalisation and campaign functionality.
- Evaluate data and MarTech infrastructure to recommend scalable customer engagement solutions.
- Support a variety of client projects, including platform implementations, customer journey optimisation, and CRM strategy initiatives.
Your Skills & Experience
- Strong hands-on experience with Braze in a delivery, consulting, or solution design capacity.
- Proven ability to build complex customer journeys and lifecycle marketing programmes.
- Experience working with Liquid scripting and advanced Braze functionality.
- Ability to create technical briefs and specifications for developers and technical stakeholders.
- Strong understanding of CRM, marketing automation, customer engagement, and MarTech ecosystems.
- Comfortable working directly with clients to gather requirements, provide recommendations, and deliver solutions.
- Experience assessing data structures, integrations, and platform scalability.
- Collaborative communication style with a proactive and responsive approach to project delivery.
- Availability to commit full-time throughout the contract period.
How to Apply
If you have strong Braze expertise and enjoy combining technical delivery with client-facing MarTech consulting, please apply with your latest CV for immediate consideration.
To Apply for this Job Click Here
Senior Product Owner / Product Manager – Clinical Claims Data Products
Remote
$70 - $75
+ Advanced Analytics & Marketing Insights
ContractNew York
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Senior Product Owner / Product Manager – Clinical Claims Data Products
- $70-$75 per hour
- Remote but must be US based
- Initial 6-9 month contract
This is an opportunity to play a key role in modernising clinical claims data products for healthcare payer organisations. You will work at the intersection of claims analytics, medical groupers, payer operations, and AI-driven product innovation, helping stakeholders improve the transparency, governance, and business value of clinical claims classification frameworks.
The Company
They are a global analytics and AI consultancy that partners with enterprise organisations to solve complex business challenges through data, technology, and advanced analytics. Their healthcare practice supports payer clients with large-scale transformation initiatives across claims, clinical analytics, data products, and operational decision-making. You will join a collaborative environment that combines healthcare domain expertise with modern data and AI capabilities.
The Role and Deliverables
- Lead discovery workshops with business, clinical, actuarial, claims operations, compliance, analytics, and technology stakeholders to understand current claims classification and grouper workflows.
- Translate business and clinical requirements into BRDs, user stories, process maps, business rules, acceptance criteria, and validation documentation.
- Define requirements for clinical claims data products covering inpatient, outpatient, professional, ancillary, and pharmacy claims.
- Support baseline-to-target comparisons, variance analysis, business impact assessments, UAT planning, and migration readiness activities.
- Partner with data engineering, analytics, and AI/ML teams to define data mappings, quality standards, validation rules, and product requirements.
- Drive stakeholder alignment, governance processes, adoption readiness, and production transition planning for modernised claims data products.
Your Skills & Experience
- Strong experience within healthcare payer claims, claims analytics, medical economics, actuarial analytics, payment integrity, clinical coding, or healthcare data product delivery.
- Deep understanding of medical groupers, claims classification methodologies, service category logic, claims editing, or payer claims rule frameworks.
- Knowledge of healthcare claims and coding concepts including ICD-10, CPT, HCPCS, DRG, APC, modifiers, revenue codes, place of service, and 837/835 transactions.
- Ability to assess how claims classification impacts cost and utilisation reporting, provider analytics, value-based care, risk adjustment, actuarial reporting, and total cost of care analysis.
- Experience creating business requirements, process maps, decision tables, source-to-target mappings, testing documentation, and validation frameworks.
- Strong stakeholder management and workshop facilitation skills across clinical, actuarial, operational, compliance, analytics, and technology teams.
- Familiarity with platforms or methodologies such as Milliman, MedInsight, Solventum/3M, Optum, Cotiviti, CMS grouping logic, DRG/APC workflows, or similar healthcare claims solutions.
- Experience working alongside engineering, data, and AI/ML teams to deliver healthcare data products and analytics solutions.
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Data Scientist
London
£50000 - £65000
+ Data Science & AI
PermanentLondon
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
Analytics Engineer
London
£450 - £550
+ Data Engineering
ContractLondon
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ANALYTICS ENGINEER
6-MONTH CONTRACT
£450-£550 PER DAY OUTSIDE IR35
This role offers a great opportunity for an Analytics Engineer to join a fast-scaling digital business undergoing a complete rebuild of its analytics infrastructure. You’ll play a key role in reshaping how data is modeled, accessed, and used across teams – all with a focus on clarity, consistency, and self-serve analytics. The environment values autonomy, quality, and user-first thinking, with the freedom to shape best practices from the ground up.
THE COMPANY
This is a high-growth consumer business committed to data-informed decision-making across marketing, operations, product, finance, and customer success. They’re currently rebuilding their analytics platform with modern, scalable tools and need a strong contractor to accelerate this transition. Working in a fast-paced, collaborative, and remote-first environment, you’ll make a lasting impact on how data empowers the organisation.
THE ROLE
You’ll join the data team to lead the design and delivery of a new semantic layer in Looker. You’ll work with stakeholders across departments to translate business needs into performant, trusted data models using LookML and dbt. You’ll also play a critical role in shaping the self-serve analytics experience and ensuring the platform is intuitive, documented, and cost-efficient.
Your responsibilities will include:
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Ingest and migrate data sets into their AWS Snowflake platform.
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Designing and implementing dbt models that power clean, consistent metrics.
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Buidl out orchestartion pipelines using Airflow
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Creating clear documentation for dashboards, metrics, and models.
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Ensuring optimal performance and cost efficiency across Snowflake
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Supporting a stakeholder-first approach to data usability and access.
KEY SKILLS AND REQUIREMENTS
- Extensive experience operating within Snowflake environments
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Airflow for data orchestration.
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Proficiency in SQL and dbt, with a strong understanding of data modeling best practices.
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Strong communication skills with the ability to translate complex needs into elegant data solutions.
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Focus on usability, documentation, and data clarity.
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Comfortable working independently in a dynamic, fast-changing environment.
DESIRABLE SKILLS
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Experience rebuilding or refactoring a Looker instance from scratch.
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Familiarity with Snowflake performance tuning and cost optimization.
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Experience scaling analytics across a cross-functional organisation
HOW TO APPLY
Please register your interest by sending your CV via the apply link on this page.
To Apply for this Job Click Here
CRO Developer
Manchester
£50000 - £60000
+ Digital Analytics
PermanentManchester, Greater Manchester
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.
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Conversion Rate Optimization Manager
Manchester
£50000 - £60000
+ Digital Analytics
PermanentManchester, Greater Manchester
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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
AI Lead
New York
$110 - $130
+ Data Science & AI
ContractNew York
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AI Lead
New York City, Remote or Hybrid
This six-month contract offers the opportunity to shape and deliver innovative AI solutions within a fast-paced project environment. You will combine technical leadership with hands-on development, helping transform emerging AI capabilities into practical products, prototypes, and experiences.
The Company
They are an innovation-focused organization that partners with businesses to explore new opportunities through technology and product development. Their teams work across strategy, design, product, and engineering to solve complex challenges and bring new ideas to life. This project provides exposure to cutting-edge AI initiatives with a strong emphasis on practical delivery and experimentation.
The Role and Deliverables
- Lead the AI strategy and technical direction for a major innovation project.
- Design, build, and rapidly iterate AI-powered prototypes and experiences.
- Develop prompts, agents, AI workflows, and retrieval-augmented generation (RAG) solutions.
- Explore and implement agentic AI architectures, including orchestration and multi-agent approaches.
- Integrate AI solutions with APIs, workflows, and existing systems.
- Collaborate with multidisciplinary teams to move quickly from concept through to working prototypes while providing technical leadership throughout the engagement.
Your Skills & Experience
- Strong experience building Generative AI and LLM-powered applications.
- Proven capability in prompt engineering, prompt architecture, and AI workflow design.
- Experience developing AI agents and agentic workflows.
- Strong knowledge of retrieval-augmented generation (RAG) and AI application development.
- Experience with agent orchestration and multi-agent architecture patterns.
- Ability to evaluate AI technologies and select the most appropriate solutions for different use cases.
- Experience with Microsoft Copilot Studio, Azure AI, Azure OpenAI, Power Platform, or similar AI development environments.
- Ability to communicate complex technical concepts effectively to non-technical stakeholders.
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Engineering Lead – AI & Emerging Technology
New York
$110 - $130
+ Data Engineering
ContractNew York
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Engineering Lead – AI & Emerging Technology
Contract Opportunity | 6-Month Engagement | 40 Hours/Week
Location: Hyrbid (NYC Office)
Duration: 6 Months
Utilization: 40 Hours per Week
Rate: $110-$130/hr – W2
Overview
We are seeking an experienced Engineering Lead to drive the technical direction and delivery of an innovative AI-focused initiative. This is a hands-on leadership role requiring a strong combination of technical expertise, engineering judgment, and rapid prototyping capabilities.
The ideal candidate will have experience building and deploying AI-powered solutions, working closely with cross-functional stakeholders to transform emerging concepts into functional prototypes and interactive experiences. This role requires someone who enjoys experimenting with cutting-edge technologies while maintaining a practical approach to execution and delivery.
Responsibilities
- Lead the technical strategy and engineering execution for an AI and emerging technology initiative.
- Design and develop rapid prototypes utilizing technologies such as Microsoft Copilot Studio, Azure AI, Azure OpenAI, Power Platform, and comparable AI development ecosystems.
- Build, test, and optimize AI agents, prompt frameworks, and agent-driven workflows.
- Design and implement Retrieval-Augmented Generation (RAG) solutions that connect AI applications to enterprise data sources.
- Develop integrations between AI applications, APIs, workflows, and third-party systems.
- Create interactive prototypes, simulations, proof-of-concepts, and user experiences that demonstrate business value.
- Collaborate with product, design, strategy, and business stakeholders to evaluate technical feasibility and delivery approaches.
- Make sound architectural decisions balancing speed, scalability, maintainability, and innovation.
- Provide technical leadership and mentorship while remaining actively involved in hands-on development.
- Rapidly iterate solutions based on testing, stakeholder feedback, and evolving requirements.
Required Qualifications
AI & Microsoft Technology Stack
- Experience with Microsoft Copilot Studio
- Azure AI Services
- Azure OpenAI
- Microsoft Power Platform
- Comparable enterprise AI development platforms and tooling
AI Engineering & Application Development
- Prompt engineering and prompt design
- AI agent architecture and development
- Retrieval-Augmented Generation (RAG)
- LLM-based application development
- Workflow automation
- API development and integration
- Connecting AI applications with enterprise systems and data sources
Product Development & Prototyping
- Developing proof-of-concepts and functional prototypes under tight timelines
- Converting ambiguous concepts into tangible technical solutions
- Building interactive applications, simulations, or digital experiences
- Thriving in fast-paced environments with evolving requirements and priorities
Preferred Qualifications
- Experience with agent orchestration platforms and multi-agent architectures.
- Background in consulting, innovation labs, venture studios, product development organizations, or similar environments focused on rapid experimentation and iterative delivery.
- Experience evaluating emerging technologies and applying them to real-world business challenges.
Desired Attributes
We’re looking for someone who is:
- Hands-On: Actively engaged in architecture, development, and problem-solving.
- Innovative: Passionate about exploring emerging AI technologies and experimentation.
- Business-Oriented: Understands how technical solutions drive business outcomes.
- Pragmatic: Knows when to engineer for scale versus when to optimize for speed.
- Collaborative: Effective working across technical and non-technical teams.
- Adaptable: Comfortable operating in environments with evolving requirements.
- Technical Leader: Able to provide guidance, influence decisions, and build stakeholder confidence
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AI Lead
New York
$110 - $130
+ Data Science & AI
ContractNew York
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AI Lead
Harnham is partnering with a leading organisation to hire an AI Lead to drive the development of innovative AI-powered products and solutions.
- Role: AI Lead
- Location: Hybrid in NYC
- Rate: $110 – $130 per hour W2
- Length: 6 months
- Utilisation: 40 hours/week
The Role
You’ll lead the design, development, and delivery of AI solutions, combining strategic oversight with hands-on technical execution. Working across product, design, and engineering teams, you’ll turn AI concepts into working prototypes and scalable applications.
Key Responsibilities
- Define and lead AI strategy and technical direction.
- Design and build Generative AI and LLM-powered solutions.
- Develop AI agents, workflows, and orchestration frameworks.
- Build RAG solutions leveraging enterprise data sources.
- Evaluate emerging AI tools and technologies.
- Integrate AI solutions with APIs and business systems.
- Rapidly prototype and validate new concepts.
- Collaborate with cross-functional stakeholders to deliver business value.
- Provide technical leadership while remaining hands-on.
Requirements
- Demonstrated experience building GenAI and LLM applications.
- Expertise in RAG architectures and AI orchestration.
- Strong software engineering and API integration skills.
- Microsoft Copilot Studio.
- Azure AI and Azure OpenAI.
- Microsoft Power Platform.
- Experience delivering innovation or greenfield AI initiatives.
This is an excellent opportunity for an experienced AI Lead, AI Architect, or Applied AI Engineer looking to shape AI strategy and build impactful AI solutions in a fast-paced, innovation-focused environment.
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Senior AI Product Engineer II
San Francisco
$192000 - $259000
+ Data Science & AI
PermanentSan Francisco, California
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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
Product Data Scientist
Sheffield
£50000 - £60000
+ Advanced Analytics & Marketing Insights
PermanentSheffield, South Yorkshire
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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.
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Senior Pricing Analyst
Leicester
£45000 - £60000
+ Advanced Analytics & Marketing Insights
PermanentLeicester, Leicestershire
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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.
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