Senior Data Scientist
London / £600 - £700 day
INFO
RATE:
£600 - £700
LOCATION
London
Contract
London | Outside IR35
Day Rate: £600-£700 per day
Contract Length: Initial 3-month contract
Working Pattern: Hybrid (1-2 days per week in London preferred), although remote working may be considered for the right profile
Start Date: ASAP
This is an exciting opportunity to join a cutting-edge organisation on a greenfield data science project. You'll have the chance to work on complex real-world machine learning challenges, helping to build intelligent systems that drive meaningful business outcomes while operating with a high degree of autonomy.
The Company
They are a technology-focused organisation using data, machine learning, and AI to solve complex industrial and commercial challenges. Their team works across large-scale datasets, developing innovative solutions that support advanced classification, inference, and decision-making processes. The environment is highly collaborative, research-driven, and focused on delivering practical impact through data science. This contract offers the opportunity to influence both technical direction and best practices from the outset.
The Role and Deliverables
- Explore, profile, and analyse complex datasets to identify patterns and opportunities.
- Build baseline machine learning models and establish robust evaluation frameworks.
- Develop production-ready classification, matching, and inference models.
- Measure model performance using rigorous validation and testing methodologies.
- Conduct detailed error analysis and document model limitations and recommendations.
- Apply LLM-based approaches for extraction, constrained labelling, and code generation where appropriate.
- Strong experience delivering machine learning models into production environments.
- Advanced Python skills, including pandas and scikit-learn.
- Excellent understanding of model validation, statistical principles, and evaluation methodologies.
- Experience building and maintaining robust machine learning pipelines.
- Exposure to LLM-based workflows and evaluation frameworks.
- Comfortable working independently and helping establish best practices in evolving environments.
If you're an experienced Senior Data Scientist looking for a high-impact contract opportunity, apply today to learn more.
CONTACT
SIMILAR
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Senior Data Engineer
London
£80000 - £100000
+ Data Engineering
PermanentLondon
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Senior Data Engineer
up to £100,000 + BENEFITS
Fully Remote (UK)
This is a great opportunity to join a high‑growth organisation where you can take ownership of end‑to‑end data engineering delivery across modern cloud platforms and greenfield projects.
THE ROLE:
You will
- Lead end-to-end data engineering projects, delivering scalable, reliable solutions from design through to deployment.
- Design, build, and optimise data pipelines and models
- Maintain high standards of data quality and engineering excellence through testing, monitoring, code reviews, and best practices.
YOUR SKILLS AND EXPERIENCE:
You will bring strong capability in:
- Advanced Python and SQL development
- Delivering end-to-end data engineering projects
- Building scalable cloud-based data solutions
- Working independently and taking ownership of delivery
- Strong communication skills with client-facing experience
- Terraform or Infrastructure-as-Code experience
THE BENEFITS:
You will receive a salary of up to £100,000 depending on experience, along with a comprehensive benefits package and the flexibility of fully remote working.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page
To Apply for this Job Click Here
Lead Data Engineer
London
£75000 - £90000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
£90,000 + BenefitsLondon (4 days per week in the office)
This is a fantastic opportunity to join a rapidly scaling SaaS business where you can build and lead the Data Engineering function from the ground up.
THE COMPANY:
The business works with major enterprise clients across Financial Services, Retail, Telecommunications, Travel and Healthcare. This is an exciting opportunity to join at a pivotal stage of growth and have a genuine impact on the future direction of the business.
THE ROLE:
Key responsibilities include:
- Building and leading the Data Engineering function, defining standards, processes and ways of working.
- Managing, mentoring and developing a growing team of Data Engineers.
- Designing and delivering scalable ETL/ELT pipelines across operational, analytical and AI data environments.
- Owning data architecture, modelling strategy, CI/CD processes and deployment governance.
- Driving adoption of AI-enabled engineering practices to improve development efficiency, quality and scalability.
YOUR SKILLS AND EXPERIENCE:
You will bring strong capability in:
- Previous experience leading and line-managing Data Engineering teams.
- Advanced SQL and Python development skills.
- Consultancy experience
- Building and optimising ETL/ELT pipelines within modern cloud environments.
- Data modelling, dimensional modelling and modern data architecture principles.
- CI/CD, Git, DevOps practices and cloud platforms including Azure, AWS and/or GCP.
THE BENEFITS:
You will receive a salary of up to £90,000 depending on experience.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
To Apply for this Job Click Here
Junior Software Engineer
London
£30000 - £40000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
Junior Software Engineer
up to £40,000
4 days in London
This is a fantastic opportunity to join a high-growth InsurTech where you’ll take ownership of building customer-facing products from day one across multiple insurance lines.
THE COMPANY:
This B-Corp certified InsureTech business places sustainability, fairness, and customer experience at the heart of everything they build, and are now looking for their next Junior Software Engineer.
THE ROLE:
You will take ownership of building and shipping customer-facing products.
Key responsibilities include:
- Building and launching production features
- Contributing to new product launches, partner integrations, and platform improvements
- Owning work end-to-end with a high level of autonomy from day one
- Collaborating closely with Product, Commercial, and Data teams
- Influencing technical decisions and helping shape engineering direction
This is a highly collaborative, high-impact environment with strong expectations and fast progression.
YOUR SKILLS AND EXPERIENCE:
You will bring strong capability in:
- Excellent problem–solving ability and engineering fundamentals
- Strong academic background (with a preference for a STEM degree)
- Experience with JavaScript (Angular), Python, or similar languages
- Ability to work across full-stack environments and learn new technologies quickly
- Clear communication skills and a proactive, ownership-driven mindset
THE BENEFITS:
You will receive a salary up to £40,000 depending on experience, along with a comprehensive benefits package.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
To Apply for this Job Click Here
Junior Data Engineer
London
£35000 - £45000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
Junior Data Engineer
up to £45,000
4 days in London
This is a fantastic opportunity to join a high-growth InsurTech where you’ll take ownership of building customer-facing products from day one across multiple insurance lines.
THE COMPANY:
This B-Corp certified InsureTech business places sustainability, fairness, and customer experience at the heart of everything they build, and are now looking for their next Junior Data Engineer.
THE ROLE:
You will take ownership of designing, building, and scaling data platforms and pipelines that power critical business and customer-facing experiences.
Key responsibilities include:
- Building, maintaining, and optimising production data pipelines and workflows
- Contributing to new data platform initiatives, third-party data integrations, and infrastructure improvements
- Owning data solutions end-to-end with a high level of autonomy from day one
- Collaborating closely with Product, Commercial, Analytics, and Data Science teams
- Influencing data architecture decisions and helping shape the future direction of the data engineering function
This is a highly collaborative, high-impact environment with strong expectations and fast progression.
YOUR SKILLS AND EXPERIENCE:
You will bring strong capability in:
- Excellent problem–solving ability and engineering fundamentals
- Strong academic background (with a preference for a STEM degree)
- Experience with Python, or similar languages
- Clear communication skills and a proactive, ownership-driven mindset
THE BENEFITS:
You will receive a salary up to £45,000 depending on experience, along with a comprehensive benefits package.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
To Apply for this Job Click Here
Senior Data Scientist
London
£600 - £700
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Senior Data Scientist
London | Outside IR35
Day Rate: £600-£700 per day
Contract Length: Initial 3-month contract
Working Pattern: Hybrid (1-2 days per week in London preferred), although remote working may be considered for the right profile
Start Date: ASAP
This is an exciting opportunity to join a cutting-edge organisation on a greenfield data science project. You’ll have the chance to work on complex real-world machine learning challenges, helping to build intelligent systems that drive meaningful business outcomes while operating with a high degree of autonomy.
The Company
They are a technology-focused organisation using data, machine learning, and AI to solve complex industrial and commercial challenges. Their team works across large-scale datasets, developing innovative solutions that support advanced classification, inference, and decision-making processes. The environment is highly collaborative, research-driven, and focused on delivering practical impact through data science. This contract offers the opportunity to influence both technical direction and best practices from the outset.
The Role and Deliverables
- Explore, profile, and analyse complex datasets to identify patterns and opportunities.
- Build baseline machine learning models and establish robust evaluation frameworks.
- Develop production-ready classification, matching, and inference models.
- Measure model performance using rigorous validation and testing methodologies.
- Conduct detailed error analysis and document model limitations and recommendations.
- Apply LLM-based approaches for extraction, constrained labelling, and code generation where appropriate.
Your Skills & Experience
- Strong experience delivering machine learning models into production environments.
- Advanced Python skills, including pandas and scikit-learn.
- Excellent understanding of model validation, statistical principles, and evaluation methodologies.
- Experience building and maintaining robust machine learning pipelines.
- Exposure to LLM-based workflows and evaluation frameworks.
- Comfortable working independently and helping establish best practices in evolving environments.
How to Apply
If you’re an experienced Senior Data Scientist looking for a high-impact contract opportunity, apply today to learn more.
To Apply for this Job Click Here
Product Analyst II
California
$75000 - $100000
+ Advanced Analytics & Marketing Insights
PermanentCalifornia
To Apply for this Job Click Here
Product Analyst II
Location: Fully Remote – anywhere in the U.S.
Compensation: $75-100k base
Overview
A growing digital health and consumer technology organization is seeking a Product Analyst II to join its Data Analytics team. This role will focus on product analytics, experimentation, and insight generation to help drive product strategy and business outcomes.
The ideal candidate has experience working with event-level product analytics data, designing and evaluating A/B tests, and translating user behavior insights into actionable recommendations. You will collaborate closely with Product Managers, Engineers, and other stakeholders to improve product performance and support data-informed decision-making across the organization.
Key Responsibilities
- Design, analyze, and interpret A/B tests and product experiments to inform strategic product decisions.
- Develop and enhance product analytics reporting based on event-level user interaction data.
- Partner with Product, Engineering, and cross-functional teams to define success metrics, KPIs, and measurement frameworks for new initiatives.
- Analyze user behavior patterns, engagement trends, and feature performance to identify growth and optimization opportunities.
- Build and maintain dashboards and reporting tools that enable stakeholder self-service access to key product metrics.
- Collaborate with data teams to ensure data quality, metric consistency, and effective event-tracking implementation.
- Promote a culture of experimentation and evidence-based decision-making throughout the organization.
Required Qualifications
- 2 to 4 years of experience in a Product Analyst, Data Analyst, or related analytics role.
- Hands-on experience with product analytics and event-tracking platforms such as Mixpanel, Amplitude, or similar tools.
- Strong SQL skills with experience querying large datasets.
- Experience using business intelligence and reporting tools such as Looker, Tableau, Omni, or similar platforms.
- Demonstrated experience designing, executing, and analyzing A/B tests and experiments.
- Strong communication skills with the ability to translate complex analyses into clear business recommendations.
- Ability to work effectively in a fast-paced, evolving environment and collaborate across multiple functions.
Preferred Experience
- Experience supporting digital consumer products, subscription-based platforms, or mobile applications.
- Familiarity with product measurement frameworks and experimentation best practices.
Benefits
- Competitive salary and overall compensation package.
- Comprehensive medical, dental, and vision coverage.
- Retirement savings program with employer contribution or matching.
- Commuter and meal-related benefits.
- Access to wellness and healthcare support resources.
- Equipment and software needed to perform successfully in the role.
- Opportunity to contribute to a widely adopted consumer-focused product.
- Collaborative team environment with strong ownership and impact.
To Apply for this Job Click Here
Director of Analytics
Remote, USA
$215000 - $225000
+ Advanced Analytics & Marketing Insights
PermanentNew York
To Apply for this Job Click Here
Director of Analytics
Location: Fully Remote (must work CST or EST hours)
Compensation: $215-225k base + performance bonuses + equity
A growing B2B technology company is seeking a Director of Analytics to lead and scale a newly established data science and analytics function focused on revenue growth and go-to-market performance. This leader will play a critical role in shaping the team’s strategy, building a collaborative culture, and driving measurable business impact across Marketing, Sales, Revenue Operations, and Customer Success.
This is a highly visible leadership opportunity for someone who enjoys operating in transformation environments, building new capabilities from the ground up, and partnering closely with executive stakeholders to influence strategic decisions.
What You’ll Do
- Lead and develop a growing team of analytics and data science professionals.
- Partner with senior business leaders to identify priorities and solve complex business challenges.
- Guide the development of advanced analytics initiatives, including predictive modeling, lead scoring, customer lifetime value, marketing measurement, propensity modeling, and experimentation.
- Ensure teams are focused on the right problems, delivering actionable insights and scalable solutions.
- Provide coaching, technical guidance, and oversight through project reviews and mentorship.
- Establish processes, prioritization frameworks, and operating structure within a growing organization.
- Manage stakeholder expectations, balance competing priorities, and influence strategic decision-making.
- Help build analytics capabilities and strengthen the overall impact of the function.
Must Have:
- 7+ years of experience in analytics, data science, or a related field.
- 3+ years of people management experience.
- Strong experience supporting marketing and/or sales organizations.
- Experience leading cross-functional initiatives and influencing senior stakeholders.
- Experience building, scaling, or transforming analytics or data science functions.
- Strong SQL skills and the ability to review Python-based work.
- Experience with predictive modeling, experimentation, and advanced analytics techniques.
- Ability to thrive in ambiguous, fast-growing environments.
Nice to Have:
- Experience in B2B SaaS, subscription-based businesses, or similar go-to-market environments.
- Background in areas such as lead scoring, LTV, marketing measurement, or revenue analytics.
- Familiarity with AI-assisted analytics and development tools.
Why Join?
This is a unique opportunity to help shape a function that is undergoing significant transformation and investment. You’ll have the chance to build a high-performing team, influence executive decision-making, and create analytics capabilities that directly impact growth and business performance. The foundation is being put in place, making this an ideal role for a leader who enjoys building, scaling, and driving change.
To Apply for this Job Click Here
Senior Product Analyst
$85000 - $105000
+ Advanced Analytics & Marketing Insights
PermanentNew York
To Apply for this Job Click Here
Senior Product Analyst
US Remote
$90,000 – 105,000 Base Salary
We’re partnering with one of the world’s most downloaded wellness apps on a Senior Product Analyst hire. This role sits at the center of how a top consumer app understands its users, tests its ideas, and decides what to build next.
The role:
You’ll sit within the Data team and act as the analytical partner to Product, owning experimentation, product analytics, and insight generation from event-level data. You’ll work day to day with Product Managers, User Acquisition, and Engineering.
You will:
- Design, analyze, and interpret A/B tests and experiments that guide product decisions
- Own product analytics reporting from event-level data, covering feature performance, funnels, retention, and user behavior
- Partner with PMs and Engineers to define metrics, success criteria, and measurement plans for new features
- Turn behavioral insights into clear, actionable product recommendations
- Build self-serve dashboards that give Product and leadership visibility into performance
- Work with the wider Data team on data quality, definitions, and event-data modelling
- Champion experimentation and data-informed decision-making across the organization
What we’re looking for:
- 1 to 3 years as a product analyst, data analyst, or similar, ideally in consumer apps or subscription products
- Hands-on experience with an event-tracking/product analytics platform (Mixpanel, Amplitude, or similar)
- Strong SQL and comfort working with large datasets
- Experience with BI tools (Looker, Tableau, Omni, or similar)
- Experience designing and analyzing A/B tests
- Strong communication skills: you translate data into narratives PMs and executives act on
- Comfortable with ambiguity and cross-functional work
To Apply for this Job Click Here
Senior Data Privacy Architect
New York
$75 - $100
+ Data Engineering
ContractNew York
To Apply for this Job Click Here
Data Privacy Architecture Consultant
Remote, US(eastern time preferred)
WE WILL NOT BE USING AGENCIES ON THIS ROLE
This is an opportunity to influence the future design of a modern data platform with privacy, governance, and AI readiness at its core. You will partner with a highly capable data team to define a scalable architecture that removes customer PII from analytics workflows while preserving business value and operational efficiency.
The Company
They are a technology-led organization with a strong investment in data and analytics. Their teams operate within a modern cloud data environment and are focused on building a long-term, sustainable approach to privacy and data governance. As part of a strategic transformation program, they are seeking specialist expertise to help shape the next generation of their data architecture. The engagement is highly collaborative, with a strong emphasis on knowledge transfer and practical implementation planning.
The Role and Deliverables
- Design a target-state data architecture that minimizes or removes customer PII from the analytics environment.
- Define how a universal customer identifier can be used consistently across the data estate.
- Advise on identity resolution, pseudonymisation, and privacy-first warehouse design.
- Create a detailed migration strategy for existing warehouse tables and transformation models.
- Design integration requirements between the data platform and identity translation services.
- Produce implementation-ready design documentation that can be executed by internal engineering teams.
Your Skills & Experience
- Strong commercial experience designing privacy-focused data architectures.
- Expertise in identity resolution, pseudonymisation, or customer identity management within cloud data platforms.
- Experience working with Snowflake and modern data transformation frameworks.
- Strong knowledge of dbt and large-scale data warehouse migration programs.
- Experience delivering data governance, privacy, or regulatory compliance initiatives.
- Ability to produce detailed technical designs, migration plans, and architectural documentation.
- Strong stakeholder management and communication skills across technical and business audiences.
- Experience balancing data usability, governance, and operational requirements within enterprise environments.
Location: Remote, US
Rate: $75-$100 per hour
Utilization: 40 hours per week
To Apply for this Job Click Here
Senior DevOps Engineer
New York
$65 - $80
+ Data Engineering
ContractNew York
To Apply for this Job Click Here
Senior DevOps Engineer (GCP)
Remote, US, (Eastern Time Preferred)
WE WILL NOT BE USING AGENCIES ON THIS ROLE
This is an opportunity to play a key role in building a next-generation AI data platform that will support large-scale data processing and enterprise AI services. You will take ownership of the cloud platform foundation, helping to create a secure, scalable, and highly automated environment that enables long-term business impact.
The Company
They are a technology-focused organization investing in modern cloud infrastructure to support advanced AI and data initiatives. Their environment combines large-scale data processing with highly available customer-facing services. The team is focused on building secure, reliable, and scalable platforms that support innovation while maintaining strong governance and operational excellence.
The Role and Deliverables
- Own the design, provisioning, and maintenance of cloud infrastructure across development, QA, and production environments. GCP
- Build and manage Infrastructure as Code solutions using Terraform.
- Design and maintain CI/CD pipelines for platform services, APIs, and data processing workflows.
- Implement security best practices, including IAM, secrets management, network security, and automated security testing.
- Establish monitoring, logging, alerting, and reliability tooling to support platform operations.
- Create operational documentation, runbooks, and knowledge transfer materials to support long-term platform ownership.
Your Skills & Experience
- Strong hands-on experience managing enterprise environments in Google Cloud Platform (GCP).
- Advanced capability with Terraform and Infrastructure as Code practices.
- Experience with Docker, containerized workloads, and cloud-native compute services.
- Proven ability to build and optimize CI/CD pipelines using modern automation tools.
- Strong knowledge of cloud security, networking, IAM, and secrets management.
- Experience implementing observability solutions, including monitoring, logging, and alerting.
- Familiarity with cross-cloud environments and integrations.
- Experience supporting AI, machine learning, or large-scale data platforms is advantageous.
Location: Remote
Rate: $65-$80 per hour
Utilization: 40 hours per week
To Apply for this Job Click Here
Senior Data Architect
New York
$80 - $100
+ Data Engineering
ContractNew York
To Apply for this Job Click Here
Senior Cloud Architect / Senior Data Architect (GCP)
Remote, US, Eastern Time (preferred)
**WE WILL NOT BE USING AGENCIES FOR THIS ROLE**
This is an opportunity to lead the architecture of a large-scale AI data platform that will support advanced AI training, inference, and data access capabilities. You will play a pivotal role in defining the technical vision, shaping cloud strategy, and establishing the architectural foundations for a highly scalable and secure platform.
The Company
They are a technology-driven organization undertaking a significant transformation of their data and AI capabilities. Their focus is on building modern cloud-native platforms that enable secure, governed access to data products at scale. You will work alongside experienced engineering and data professionals on a highly visible initiative with long-term impact.
The Role and Deliverables
- Lead discovery activities, architecture assessments, and technical design workshops.
- Define and own the solution architecture, design baseline, and architecture decision records.
- Architect a scalable Google Cloud Platform foundation across development, QA, and production environments.
- Design secure, high-availability data access services, APIs, and data delivery mechanisms.
- Establish architectural standards for identity management, entitlement controls, governance, and data security.
- Collaborate with engineering, data, and AI teams to ensure successful delivery of the architectural vision.
Your Skills & Experience
- Strong experience designing enterprise-scale cloud data platforms within Google Cloud Platform (GCP).
- Deep knowledge of cross-cloud architectures and integration involving AWS environments.
- Expertise building scalable data platforms, ingestion pipelines, and distributed systems.
- Advanced capability with Terraform and Infrastructure as Code best practices.
- Experience designing high-availability REST APIs, GraphQL services, and large-scale data delivery solutions.
- Strong understanding of IAM, access controls, tenant isolation, security governance, and compliance frameworks.
- Ability to lead technical discussions with stakeholders and produce clear architectural documentation.
- Familiarity with AI and machine learning data workflows, data products, or data-as-a-service platforms is advantageous.
Rate: $80-100/hour (depending on experience)
Utilization: 40 hours per week.
To Apply for this Job Click Here
Home Risk Pricing Manager
Leicester
£65000 - £80000
+ Advanced Analytics & Marketing Insights
PermanentLeicester, Leicestershire
To Apply for this Job Click Here
I’m hiring a Home Risk Pricing Manager for a leading UK insurer with a strong reputation for investing in pricing, analytics, and data science.
This role sits within the Home Pricing function and offers a blend of pricing strategy, analytical problem-solving, and team leadership, supporting the delivery of profitable growth across the home insurance portfolio.
The role
Reporting into the Senior Home Risk Pricing Manager, you’ll play a key role in shaping pricing strategy for the home insurance book.
This isn’t a pure modelling role. Instead, you’ll use models, data, and pricing insight to make commercial decisions about how pricing should be adjusted to drive growth and profitability.
You’ll spend roughly half your time leading and coaching analysts, with the remainder focused on hands-on pricing analysis and strategy.
What you’ll be doing
- Lead and develop a small team of pricing analysts
- Analyse policy, quote, claims, market and risk data to identify pricing opportunities
- Develop and deliver pricing insights to improve profitability and growth
- Work closely with Data Science, Actuarial, Underwriting and Engineering teams
- Critically review pricing and risk models developed by actuaries and data scientists
- Translate model outputs into effective pricing strategies and actions
- Identify customer segments where pricing can be optimised
- Support peer reviews, coaching and mentoring across the team
What they’re looking for
Essential
- Personal lines insurance pricing experience (Home, Motor, Van, Travel, Bike, etc.)
- Senior Pricing Analyst, Risk Pricing Analyst, Pricing Manager or Risk Pricing Manager background
- Strong analytical and commercial mindset
- Experience working with pricing and risk models
- Strong stakeholder management and communication skills
- Python preferred (R also considered)
- SQL experience is beneficial
- Ability to turn analytical findings into pricing strategy and business outcomes
Nice to have
- Team leadership or mentoring experience
- Experience managing pricing portfolios
- Exposure to Home Insurance pricing specifically
Why join?
- Highly respected pricing and analytics function
- Opportunity to influence a major Home Insurance portfolio
- Strong blend of leadership and hands-on analytical work
- Flexible hybrid working
- Excellent benefits package
- Opportunity to work alongside Pricing, Data Science, Underwriting and Actuarial specialists
Package
- £65,000-£80,000 (potential flexibility for exceptional candidates)
- £5,000 car allowance
- Annual bonus scheme
- Private medical insurance
- Matched pension up to 10%
- 27 days holiday + bank holidays
- Hybrid working
To Apply for this Job Click Here
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