Senior Credit Risk Analyst
London / £75000 - £75000 annum
INFO
SALARY:
£75000 - £75000
LOCATION
London
Permanent
SENIOR CREDIT RISK ANALYST
LONDON | UP TO £75,000 + 10% BONUS + 7% MATCHED PENSION
This is an exciting opportunity to join a growing consumer lender that combines the pace and innovation of a fintech with an established lending business. Having recently strengthened their analytics leadership team, they are investing heavily in their credit capability and expanding their lending operation.
THE COMPANY
They are a consumer lending business with a strong focus on using technology and data to improve customer outcomes. Following a period of significant growth, they continue to invest across their products and analytics functions. They are also embracing AI across the organisation, encouraging analysts to leverage emerging tools to enhance insight generation, improve efficiency, and support smarter business decisions.
THE ROLE
- Support the development and optimisation of lending strategies across the loans portfolio, with some exposure to cards
- Own affordability analysis and contribute to income verification and customer assessment strategies
- Recommend changes to credit policies, cut-offs, and decisioning strategies
- Monitor portfolio performance and identify opportunities to improve risk and commercial outcomes
- Use data and AI-driven tools to generate insights and support decision-making
YOUR SKILLS & EXPERIENCE
- Strong experience within consumer lending credit risk, ideally across personal loans, credit cards, or other retail lending products
- Experience developing and implementing credit strategies across acquisitions, customer management, or underwriting
- Strong understanding of affordability assessments, income verification, and lending decisioning processes
- Strong SQL or comparable coding skills, with the ability to extract and analyse large datasets
- Interest in applying AI tools to analytical workflows
- Degree in a numerate discipline is advantageous
WHAT THEY OFFER
- Salary up to £75,000
- Annual bonus averaging 10%
- 7% matched pension contribution
- Hybrid working with three days per week in the London office
- Exposure to a growing and evolving lending business
- Strong learning and development opportunities within an expanding analytics team
HOW TO APPLY
Please submit your CV through the Apply link to register your interest.
CONTACT
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JOB RESULTS
Director of Data & AI
$175000 - $200000
+ Data Science & AI
PermanentNew Jersey
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Director of Data & AI
New Jersey / Hybrid | Up to $200k + Bonus
A global specialty insurer is looking for a hands-on leader to sit at the heart of its North America underwriting business and help drive its AI and analytics strategy.
This is a business-facing role, focused on improving underwriting performance, portfolio management and decision-making through data, analytics and AI.
What you’ll be doing:
- Partnering directly with underwriting leaders across North America
- Turning business challenges into analytics and AI solutions
- Leading AI-enabled underwriting transformation initiatives
- Working closely with Data Science, Engineering and Product teams
- Driving adoption of data-led decision making across the business
- Leading and developing a small, high-performing analytics team
What we’re looking for:
- Strong commercial or specialty insurance experience
- Deep understanding of underwriting processes and decision-making
- Experience delivering value through analytics, data science or AI
- Ability to influence senior stakeholders and operate at executive level
- Experience leading teams and driving change across complex organisations
Why consider it?
- Newly created role with significant visibility
- Data & AI are a board-level priority
- Opportunity to shape the future of AI in underwriting
- Blend of strategy, delivery and stakeholder leadership
- Direct impact on underwriting outcomes and business performance
This is an excellent opportunity for someone who understands insurance first and technology second, and wants to play a key role in modernising how underwriting decisions are made.

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Associate Director (Strategy & Insights)
London
£100000 - £130000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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Associate Director, Strategy & Insights
Hybrid – London (3 days per week)
Up to £130,000 + bonus + benefits
This is a standout opportunity for an experienced strategy and insights leader to join a high-growth boutique consultancy at a pivotal stage of its journey. You’ll work directly with founders, lead strategic client engagements for global technology brands, and play a key role in shaping both client outcomes and the future direction of the business.
The Company
They are a specialist strategy and insights consultancy focused exclusively on the B2B technology sector. Their work combines customer insight, market research and commercial strategy to help organisations make confident decisions across product strategy, customer experience, go-to-market planning, pricing and competitive positioning.
Unlike traditional research businesses, they focus on delivering actionable recommendations that drive measurable commercial impact. Following a period of sustained growth, they are investing heavily in expanding their consulting capability and developing AI-enabled products and services.
The Role
As an Associate Director, you will lead complex consulting engagements, manage senior client relationships, and contribute to the continued growth of the business.
Key responsibilities include:
- Leading end-to-end research, insight and strategy projects for global B2B technology clients.
- Designing research methodologies and strategic frameworks to address complex commercial challenges.
- Overseeing qualitative research programmes, including senior stakeholder and customer interviews.
- Translating research findings into clear strategic recommendations and business actions.
- Managing project delivery, budgets, profitability and resource allocation.
- Building trusted relationships with senior client stakeholders and leading presentations, workshops and discussions.
- Managing, coaching and developing Consultants and Senior Consultants.
- Maintaining quality standards across project deliverables and client engagements.
- Supporting business development through proposal writing, opportunity scoping and account growth.
- Working closely with senior leadership on strategic initiatives and business growth plans.
- Contributing to the development and adoption of AI-enabled consulting tools, products and workflows.
- Playing a highly visible role within a collaborative, entrepreneurial consulting environment.
Your Skills & Experience
- Strong commercial experience within strategy consulting, market research, insights or brand strategy environments.
- Deep expertise working with B2B technology clients and markets.
- Proven ability to lead end-to-end research and strategy programmes.
- Strong qualitative research, analytical and storytelling capabilities.
- Experience managing client relationships and influencing senior decision-makers.
- Strong project leadership skills, including oversight of budgets, timelines and delivery quality.
- Experience coaching and developing consulting teams.
- Ability to translate complex insight into commercially focused strategic recommendations.
- Genuine interest in technology, AI and emerging industry trends.
- Comfortable operating within a fast-growing, entrepreneurial business environment.
What They Offer
- Learning and development budget.
- Access to leading AI tools and platforms.
- Direct collaboration with founders and senior leadership.
- Clear progression opportunities within a rapidly growing consultancy.
How to Apply
If you’re an experienced strategy and insights professional with strong B2B technology expertise and a track record of leading high-impact consulting engagements, apply today to learn more about this opportunity.
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Senior Consultant – Strategy & Insights
London
£80000 - £100000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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Senior Consultant, Strategy & Insights
Hybrid- 3 days per week)
Up to £100,000 + bonus + benefits
This is a rare opportunity to join a growing boutique strategy consultancy operating at the intersection of research, insight, technology and commercial strategy. You’ll work directly with senior clients and founders, helping global technology businesses solve complex growth challenges while gaining significant responsibility, influence and exposure in a high-performing team.
The Company
They are a specialist strategy and insights consultancy focused exclusively on the technology sector. Combining research, customer insight and commercial strategy, they help organisations make better decisions across areas such as go-to-market strategy, customer experience, proposition development, pricing and competitive positioning.
Operating with a highly collaborative and entrepreneurial culture, they work closely with senior stakeholders to turn insight into practical business outcomes. Following a period of strong growth, they are continuing to expand their consulting capability while investing in AI-enabled products and services.
The Role
As a Senior Consultant, you will take ownership of key project workstreams, managing research and strategy engagements from design through to delivery.
Key responsibilities include:
- Leading multiple consulting and research workstreams across complex B2B technology projects.
- Designing research methodologies, discussion guides and project frameworks.
- Conducting qualitative interviews with customers, industry experts and senior stakeholders.
- Synthesising research findings into compelling strategic recommendations.
- Developing high-quality reports, presentations and client deliverables.
- Building clear project storylines and presenting findings to senior decision-makers.
- Managing client relationships, project timelines and delivery milestones.
- Mentoring junior consultants and supporting capability development within the team.
- Contributing to proposal development, thought leadership and business growth initiatives.
- Supporting the development of AI-enabled consulting products, tools and workflows.
- Working closely with senior leadership in a flat, collaborative environment.
Your Skills & Experience
- Strong commercial experience within strategy consulting, market research, insights or brand strategy environments.
- Expertise working on B2B technology-focused projects.
- Experience leading research and strategy workstreams from design through delivery.
- Strong qualitative research, analysis and storytelling capabilities.
- Ability to transform complex findings into actionable commercial recommendations.
- Experience presenting to and influencing senior stakeholders.
- Strong project management and client engagement skills.
- Genuine interest in technology, AI and emerging market trends.
- Comfortable operating in a fast-paced, high-growth consultancy environment.
- A proactive and collaborative approach to problem solving.
What They Offer
- Dedicated learning and development support.
- Access to the latest AI tools and technologies.
- Direct exposure to company leadership and mentoring from experienced consultants.
- Clear progression pathway toward Associate Director level and beyond.
How to Apply
If you’re a commercially minded strategy consultant with strong B2B technology experience and a passion for turning insight into action, apply today to discuss this opportunity in confidence.
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Senior Data Scientist (Marketing)
£70000 - £90000
+ Advanced Analytics & Marketing Insights
PermanentEngland
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Senior Data Scientist, Marketing
Fully Remote (UK)
Up to £90,000
This is an opportunity to play a pivotal role in shaping marketing investment decisions within a fast-growing digital business. You’ll combine advanced marketing measurement, experimentation, and predictive modelling to influence how significant acquisition budgets are allocated, delivering clear commercial impact across the organisation.
The Company
They are a rapidly growing digital marketplace with a strong consumer brand and a mission-led culture. Operating internationally, they connect customers with unique experiences through a network of independent partners and suppliers. The business is investing heavily in marketing growth and is looking for a Senior Data Scientist to ensure investment decisions are evidence-based, measurable, and commercially effective. Their remote-first environment combines flexibility with a strong emphasis on collaboration, ownership, and data-driven decision making.
The Role
As a Senior Data Scientist specialising in Marketing Analytics and Measurement, you will work closely with senior stakeholders across Data and Marketing to improve marketing effectiveness and customer acquisition performance.
Responsibilities include:
- Owning and developing Marketing Mix Models (MMM) to evaluate channel performance, diminishing returns, and budget allocation decisions.
- Designing and analysing incrementality experiments, including conversion lift studies, geo experiments, and holdout testing.
- Improving marketing measurement and attribution frameworks in an increasingly privacy-focused digital landscape.
- Building and maintaining Customer Lifetime Value (LTV) models to support acquisition, retention, and bidding strategies.
- Applying statistical and causal inference techniques to distinguish genuine business impact from correlation.
- Translating complex analytical outputs into clear recommendations for commercial and marketing stakeholders.
- Using AI tools and workflows to accelerate analysis, experimentation, and insight generation while maintaining rigorous analytical standards.
- Collaborating with cross-functional teams to establish best practices in experimentation and measurement.
Your Skills & Experience
- Strong commercial experience in marketing measurement, including Marketing Mix Modelling, incrementality testing, lift studies, or geo experimentation.
- Advanced statistical knowledge covering causal inference, experimental design, hypothesis testing, regression analysis, and sample sizing.
- Strong SQL and Python capabilities within modern cloud-based analytics environments.
- Experience working with tools such as Snowflake, dbt, and contemporary analytics platforms.
- Understanding of paid media measurement, attribution methodologies, and privacy-related tracking limitations.
- Ability to communicate technical concepts to non-technical stakeholders and influence strategic decision making.
- Experience using AI-enabled workflows to improve analytical efficiency and scalability.
- Exposure to Bayesian modelling, value-based bidding, LTV modelling, marketplace businesses, or travel-related sectors would be beneficial.
What They Offer
- Annual performance-based bonus.
- Remote working support and workspace allowance.
- Access to regular company meetups and team events.
- Employee discounts and additional benefits.
- The opportunity to shape marketing measurement strategy during a period of significant growth and investment.
If you’re a commercially minded Senior Data Scientist with expertise in marketing measurement, experimentation, and modelling, apply today to learn more about this exciting opportunity.
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Senior Data Scientist – MMM
London
£70000 - £90000
+ Data Science & AI
PermanentLondon
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Senior Data Scientist
UK Remote | £70,000 – £90,000
Join a growing digital marketplace at a pivotal stage of expansion. With marketing investment set to increase significantly, this role offers the opportunity to shape how marketing performance is measured, optimise budget allocation, and influence commercial growth through advanced analytics and experimentation.
The Company
They are a fast-growing online marketplace with a strong focus on sustainability, customer experience, and supporting independent partners. Operating within a modern, data-driven environment, they use analytics to inform key business decisions and drive long-term growth. The business offers genuine ownership, autonomy, and the chance to make a measurable impact.
The Role
- Own and enhance the Marketing Mix Model (MMM) to measure channel effectiveness and marginal returns.
- Design and evaluate incrementality tests, conversion lift studies, and geo experiments.
- Improve attribution and marketing measurement frameworks.
- Build and maintain Customer Lifetime Value (LTV) models to support acquisition strategy and budget decisions.
- Translate statistical analysis into clear commercial recommendations.
- Partner closely with marketing stakeholders to optimise spend and performance.
- Use AI tools to accelerate analysis, experimentation, and insight generation.
Your Skills & Experience
- Strong experience in marketing measurement, MMM, incrementality testing, or experimentation.
- Excellent statistical knowledge including causal inference, hypothesis testing, regression analysis, and experimental design.
- Strong SQL skills with experience working in modern analytics environments.
- Experience with Python and tools such as Snowflake and dbt.
- Understanding of attribution, paid media measurement, and privacy-related challenges.
- Ability to communicate complex findings to non-technical stakeholders.
What They Offer
- £70,000 – £90,000 salary.
- Fully remote working within the UK.
- Annual bonus.
- 38 days holiday including bank holidays.
- Private healthcare and generous pension.
- Flexible working arrangements.
- Regular company meetups and employee discounts.
- High visibility and ownership within a growing data team.
How to Apply
Apply today to learn more about this Senior Data Scientist opportunity and how you can help shape marketing strategy through data science and experimentation.

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Senior Commercial Analyst
Sheffield
£50000 - £60000
+ Advanced Analytics & Marketing Insights
PermanentSheffield, South Yorkshire
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Senior Commercial Analyst
£50,000-£60,000
Sheffield – Hybrid (1 day per week onsite)
Travel expenses covered where applicable
I’m hiring a Senior Commercial Analyst for a fast-growing subscription business in the education sector, helping shape how the organisation uses customer, product, and commercial data to drive acquisition, engagement, retention, and growth.
This is a great opportunity for someone who enjoys combining customer analytics, product analytics, BI, and commercial insight in a highly visible role with direct exposure to senior stakeholders, including the CMO.
The company
A rapidly growing SaaS-style subscription business providing professional development, training, webinars, and educational content to schools, trusts, universities, and international organisations.
The platform has a large and highly engaged user base, with strong retention rates and significant growth ambitions. As the business expands, they’re looking to better understand customer behaviour, product engagement, and the drivers of acquisition and retention.
The role
You’ll sit within a small, collaborative Data & Insights team and act as the analytical link between Product, Marketing, Customer Success, and Commercial teams.
This role is all about understanding:
- How customers discover and engage with products
- What drives conversion and retention
- Which content and services create the most value
- How customer behaviour changes throughout the lifecycle
- Where opportunities exist to improve acquisition, engagement, and revenue
The role combines stakeholder management, analytics, data modelling, dashboarding, and commercial insight.
What you’ll be doing
Customer & Product Analytics
- Analyse customer journeys from awareness through to conversion and retention
- Understand product usage, content engagement, and customer behaviour
- Explore customer growth, churn, and lifecycle performance
- Identify opportunities to improve user engagement and conversion
Commercial Insight
- Work directly with senior stakeholders to answer key business questions
- Translate business requirements into analytical approaches and recommendations
- Support acquisition, retention, loyalty, and customer value initiatives
- Present findings in a clear and commercially meaningful way
Reporting & Data Modelling
- Build and enhance Power BI dashboards and reporting solutions
- Design and maintain semantic models
- Work with dbt and SQL to improve analytical capability
- Help evolve the organisation’s analytics and self-service reporting environment
Cross-Functional Collaboration
- Partner with Marketing, Product, Customer Success, and Commercial teams
- Work closely with Data Engineering colleagues to deliver scalable solutions
- Support strategic projects across customer acquisition, engagement, and retention
What they’re looking for
Essential
- 3+ years’ experience in a Data Analyst, BI Analyst, Commercial Analyst, Customer Analyst, or Product Analyst role
- Strong Power BI experience
- Strong SQL skills
- Experience building semantic models
- Experience working with dbt
- Experience within a SaaS, subscription, membership, or recurring-revenue environment
- Strong stakeholder management and communication skills
- Ability to translate analysis into actionable business recommendations
Highly desirable
- Customer analytics experience
- Product analytics experience
- Marketing or CRM analytics exposure
- Customer retention and lifecycle analysis
- Experience with AI capabilities within Snowflake
- B2B subscription business experience
Nice to have
- Education or EdTech experience
- Government or public-sector datasets
- Exposure to predictive analytics or data science
Why join?
- Fast-growing business with a highly engaged customer base
- Direct exposure to senior decision-makers
- Opportunity to influence product, customer, and commercial strategy
- Broad role spanning customer, product, marketing, and commercial analytics
- Small team environment with genuine ownership and visibility
- Strong opportunity to shape how data is used across the organisation
Package
- £50,000-£60,000
- Hybrid working (1 day per week in Sheffield)
- Travel expenses covered where applicable
- Strong progression opportunities
- Broad exposure to customer, product, and commercial analytics
Interview Process
Stage 1: Initial interview with the hiring manager
Stage 2: Analytics / presentation exercise
Stage 3: Team competency interview
Stage 4: Final sign-off with senior leadership
This role would be ideal for someone currently working as a:
- Senior Commercial Analyst
- Customer Insight Analyst
- Customer Analyst
- Product Analyst
- Senior BI Analyst
- Customer Analytics Analyst
who wants a broader role with more stakeholder engagement, commercial influence, and ownership.

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Associate Director
London
£115000 - £130000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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Associate Director, Strategy & Insights
London | Hybrid (3 days per week) | Up to £130,000 + Bonus + Benefits
Join a growing specialist consultancy that helps technology businesses make smarter commercial decisions through research, insight and strategy. Following a period of strong growth and new client wins, they are expanding their senior consulting team and investing heavily in AI-enabled solutions.
The Company
They are a boutique strategy and insights consultancy focused exclusively on the technology sector. Combining research, customer insight and strategic thinking, they help clients solve complex commercial challenges across product strategy, customer experience, go-to-market planning, pricing and competitive positioning.
The Role
You will lead strategic consulting projects from design through to delivery, working closely with senior client stakeholders and internal leadership.
Key responsibilities include:
* Leading end-to-end strategy and insight engagements
* Designing research programmes and methodologies
* Conducting stakeholder and customer interviews
* Turning research findings into strategic recommendations
* Managing client relationships and facilitating workshops
* Overseeing project delivery, budgets and profitability
* Coaching and developing consultants
* Supporting proposals and business development activity
* Contributing to AI-enabled consulting initiatives
Your Skills & Experience
* Experience within strategy consulting, insights, research or brand strategy
* Strong B2B technology sector experience
* Track record leading end-to-end research and strategy projects
* Excellent qualitative research and analytical skills
* Strong stakeholder management and presentation abilities
* Experience managing projects and mentoring team members
* Commercial mindset and ability to translate insight into action
* Interest in technology, AI and emerging trends
What They Offer
* Salary up to £130,000
* Performance-related bonus
* Employee equity scheme
* Private medical insurance and pension
* Hybrid working model
* 23 days annual leave plus birthday off
* Learning and development budget
* Access to leading AI tools and technologies
* Clear progression opportunities within a growing business
How to Apply
If you have a passion for technology, strategy and turning insight into commercial impact, apply today to learn more.

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ML/AI Engineer – Databricks Agentic AI
Dallas
$65 - $75
+ Data Science & AI
ContractDallas, Texas
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ML/AI Engineer – Databricks Agentic AI
Remote, US
This is an opportunity to join a large enterprise organization building a multi-agent analytics platform that enables users to query data through natural language and receive trustworthy, explainable answers. You will help design and operate a system of cooperating LLM-powered agents that query data sources, run analysis, generate visualizations, and deliver production-grade insights at scale.
The Company
They are a large media and entertainment organization investing heavily in AI and analytics capabilities. As part of a broader transformation initiative, they are building intelligent systems that enable users to interact with complex data through natural language while maintaining enterprise-grade reliability, governance, and performance. This role sits within a highly technical team focused on delivering scalable, production-ready AI applications.
The Role and Deliverables
- Design and implement multi-agent workflows within a Databricks-based analytics platform, including planning, routing, tool calling, memory, and handoff between specialized agents.
- Build and maintain agent tools including data source connectors, retrieval pipelines, SQL generation and validation, visualizations, and result verification.
- Develop evaluation frameworks, testing suites, and regression tracking to improve quality and reliability.
- Improve answer accuracy and groundedness through guardrails, validation mechanisms, and explainability.
- Optimize for latency, cost, throughput, and production resilience.
- Partner with engineering, analytics, and product teams to deliver trusted AI-powered analytics experiences.
Your Skills & Experience
- Deep understanding of the Databricks platform, including hands-on experience with Databricks Apps, Databricks SDK, Databricks Asset Bundles, and Databricks APIs.
- Experience with Mosaic AI, Model Serving, Vector Search, MLflow, Unity Catalog, or similar Databricks-native capabilities.
- Strong experience building production AI, LLM, or agentic applications.
- Strong Python engineering skills and experience with frameworks such as LangGraph, OpenAI Agents SDK, or similar.
- Hands-on experience with tool calling, RAG, prompt engineering, and multi-agent architectures.
- Experience with agent evaluation frameworks, observability tooling, and production AI operations.
- Experience building and operating production services, APIs, CI/CD pipelines, and cloud-native applications.
If you have experience building production-grade agentic AI systems and deep expertise across the Databricks ecosystem, apply to learn more about the opportunity.

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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.

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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
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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

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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:
-
Ingest and migrate data sets into their AWS Snowflake platform.
-
Designing and implementing dbt models that power clean, consistent metrics.
-
Buidl out orchestartion pipelines using Airflow
-
Creating clear documentation for dashboards, metrics, and models.
-
Ensuring optimal performance and cost efficiency across Snowflake
-
Supporting a stakeholder-first approach to data usability and access.
KEY SKILLS AND REQUIREMENTS
- Extensive experience operating within Snowflake environments
-
Airflow for data orchestration.
-
Proficiency in SQL and dbt, with a strong understanding of data modeling best practices.
-
Strong communication skills with the ability to translate complex needs into elegant data solutions.
-
Focus on usability, documentation, and data clarity.
-
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
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