To Apply for this Job Click Here

Senior Data Engineer (Snowflake | dbt | Fivetran)

Dallas, TX (Hybrid – 4 Days Onsite)

Salary: $140,000-$165,000 Base + Bonus (Flexible)

We’re partnering with a large, well-established enterprise that’s making a significant investment in modernizing its data platform. This is an opportunity to join a newly formed data engineering organization focused on building scalable, cloud-native solutions that will support critical business initiatives across the enterprise.

You’ll be joining early in a long-term transformation, working with modern technologies including Snowflake, dbt, Fivetran, Python, and SQL to build robust data pipelines, optimize data models, and help establish engineering best practices. Whether your expertise is centered around dbt or Fivetran, this team is looking for experienced engineers who enjoy solving complex data challenges in a collaborative environment.

What You’ll Do

• Design, build, and maintain scalable ELT pipelines using modern cloud technologies.
• Develop and optimize data models within Snowflake for analytics and reporting.
• Build and support data ingestion pipelines using Fivetran and transformation workflows using dbt.
• Develop solutions using Python and advanced SQL.
• Partner with analytics, engineering, and business teams to translate requirements into scalable data products.
• Improve data quality, testing, monitoring, and pipeline reliability.
• Contribute to CI/CD processes and Infrastructure as Code initiatives.
• Help define engineering standards and best practices across a growing enterprise data platform.

What We’re Looking For

• 5+ years of Data Engineering experience.
• Strong experience with Snowflake.
• Hands-on experience with dbt and/or Fivetran.
• Advanced SQL and Python skills.
• Experience building production-grade cloud data pipelines.
• Experience with AWS, Azure, or GCP.
• Familiarity with Git, CI/CD, and modern software development practices.

Nice to Have

• Terraform
• Kafka or streaming technologies
• Data modeling and dimensional modeling experience
• Experience with automated testing and data quality frameworks
• Financial services experience (not required)

Why Consider This Opportunity?

• Join a greenfield enterprise data transformation with strong executive sponsorship.
• Work with a modern cloud-native technology stack.
• Small, collaborative engineering team with significant growth planned.
• Opportunity to influence engineering standards and platform direction.
• Long-term career growth with continued investment in learning and development.
• Competitive compensation, bonus, and a stable organization investing heavily in its technology roadmap.

To Apply for this Job Click Here

To Apply for this Job Click Here

Position Summary

The Lead Data Solutions Engineer is responsible for designing, developing, implementing, and supporting enterprise-scale data platforms and solutions. This individual will collaborate closely with architects, engineers, analytics teams, business stakeholders, and technology partners to define best practices, establish governance standards, and drive adoption of modern data engineering methodologies.

This role serves as a subject matter expert for enterprise data solutions, providing technical leadership, mentoring team members, and guiding strategic decisions related to data architecture, engineering, and platform optimization.

Key Responsibilities

Data Platform Architecture & Engineering

• Lead the design, implementation, and governance of enterprise ETL/ELT pipelines utilizing modern cloud data technologies.
• Architect and review end-to-end data workflows from source systems through curated, analytics-ready datasets.
• Design scalable data architectures supporting ingestion, transformation, storage, and consumption layers.
• Develop reusable frameworks and patterns that improve maintainability, consistency, and efficiency across data engineering initiatives.

Snowflake & Cloud Data Solutions

• Design andoptimize Snowflake-based data platforms, including:
  • Warehouse sizing and workload management
  • Performance optimization and tuning
  • Data security and access control frameworks
  • Cost management and resource governance
• Establish best practices for enterprise-scale cloud data operations.

Analytics Engineering & Data Modeling

• Develop and govern data transformation frameworks using dbt.
• Create modular and reusable data models across staging, intermediate, and business-layer datasets.
• Implement documentation, testing, lineage tracking, and quality controls.
• Build standards that promote transparency, reliability, and self-service analytics.

Data Pipeline Development

• Design and support highly scalable data pipelines using SQL, Python, and PySpark.
• Build solutions that accommodate batch, streaming, and hybrid processing requirements.
• Oversee ingestion frameworks and ensure reliable movement of data across multiple environments and platforms.

Infrastructure Automation & DevOps

• Implement Infrastructure as Code (IaC) practices using Terraform.
• Automate provisioning and management of data platform resources.
• Design CI/CD processes supporting:
  • Automated deployments
  • Environment promotion strategies
  • Source control and release management
  • Code quality validation and testing

Data Quality & Operational Excellence

• Establish standards for monitoring, observability, and data quality management.
• Ensure data platforms are reliable, scalable, and production-ready.
• Define service-level expectations and operational support processes.
• Drive continuous improvement initiatives focused on platform stability and performance.

Technical Leadership

• Lead architecture reviews, proofs of concept, and technology evaluations.
• Mentor and coach data engineers, providing technical guidance and best practices.
• Facilitate technical discussions and represent the data engineering function in cross-functional meetings.
• Influence enterprise-wide standards, governance models, and architectural direction.

Security, Compliance & Governance

• Partner with security, platform, and compliance teams to implement enterprise data governance requirements.
• Ensure solutions meet security, regulatory, and access-control standards.
• Balance governance objectives with engineering efficiency and delivery goals.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, Economics, or a related discipline, or equivalent practical experience.
• 7+ years of experience delivering enterprise-scale data engineering solutions.
• Demonstrated success leading large-scale data platform initiatives in cloud and/or hybrid environments.
• Strong experience building and supporting complex, high-volume data pipelines in production environments.
• Expertise in cloud data warehousing, data modeling, and modern analytics engineering practices.
• Advanced proficiency with SQL and strong hands-on experience with Python and/or PySpark.
• Experience with Snowflake, dbt, Fivetran, Terraform, and modern data ecosystem tools.
• Strong understanding of enterprise data warehousing concepts and architecture patterns.
• Experience designing, developing, testing, and deploying business intelligence and analytics solutions.
• Knowledge of CI/CD, Infrastructure as Code, and software development lifecycle best practices.
• Strong analytical, problem-solving, and systems-thinking capabilities.
• Excellent verbal and written communication skills with the ability to present complex technical concepts to both technical and non-technical audiences.
• Proven ability to lead initiatives, influence stakeholders, and drive outcomes with minimal oversight.
• Strong sense of ownership, accountability, and commitment to continuous improvement.

Preferred Experience

• Experience with AWS and/or Azure cloud environments.
• Exposure to Kafka or event-driven data architectures.
• Experience establishing data governance, metadata, and lineage frameworks.
• Background evaluating and implementing emerging data technologies.
• Experience mentoring engineering teams and contributing to enterprise architecture strategies.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Analyst

London (Hybrid)

Up to £45,000-£50,000

The Opportunity

We’re partnering with a leading B2B media and events business looking for a Senior Data Analyst to help drive smarter decision-making across the organisation.

This is a highly visible role where you’ll work closely with commercial, marketing, editorial, product, finance, and events teams to deliver actionable insights, develop business-critical dashboards, and support strategic growth initiatives. You’ll play a key role in transforming data into measurable business value.

Key Responsibilities

• Design, build, and maintain dashboards for business reporting
• Develop KPI reporting across digital products, events, subscriptions, CRM, and marketing channels
• Analyse audience behaviour, content engagement, campaign performance, and customer journeys
• Deliver actionable insights and recommendations to key stakeholders
• Produce recurring, ad-hoc, post-campaign, and post-event reporting
• Champion data-driven decision-making across the business
• Ensure data accuracy and reporting quality through monitoring and investigation
• Collaborate with stakeholders to define metrics, reporting requirements, and success measures
• Support reporting automation and continuous improvement initiatives
• Contribute to data governance and best-practice standards

What We’re Looking For

• Proven experience as a Data Analyst or Senior Data Analyst
• Strong SQL skills and experience working with large datasets
• Expertise in dashboard creation and self-service reporting
• Experience with BI tools such as Power BI, Looker Studio, or Tableau
• Knowledge of GA4, Google Tag Manager, and CRM platforms
• Strong analytical and problem-solving capabilities
• Ability to communicate complex insights to non-technical stakeholders
• Commercial mindset with a focus on business impact
• Excellent attention to detail and stakeholder management skills
• Experience within media, publishing, events, or subscription-based businesses is advantageous

Ways of Working

• Hybrid working environment
• Cross-functional exposure across multiple business functions
• Opportunity to influence strategic decisions
• Collaborative and data-driven culture
• High level of ownership and autonomy

Benefits

• Competitive salary (£45,000-£50,000)
• Performance-related bonus scheme
• Flexible working arrangements
• 25 days annual leave plus bank holidays
• Additional birthday leave
• Private medical insurance
• Pension scheme
• Enhanced family leave
• Income protection and enhanced sick pay
• Employee referral bonus scheme
• Company summer and Christmas events

How to Apply

If you’re a commercially minded analyst who enjoys turning data into meaningful business insights, we’d love to hear from you.

Apply with your CV or reach out to me!

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Engineer

Location: Richardson, TX (Hybrid)

Compensation: $140,000-$160,000 Base + Annual Bonus + Comprehensive Benefits

About the Opportunity

A leading financial services organization is investing heavily in the modernization of its enterprise data platform and is looking for a Senior Data Engineer to join its growing Data Engineering team.

As a Data Engineer, you’ll help shape the future of a cloud-first data ecosystem supporting enterprise analytics, reporting, and data-driven decision making across a large, complex organization. You’ll partner with architects, engineers, and business stakeholders to build scalable, production-grade data solutions while helping establish engineering standards and best practices across the platform.

What You’ll Do

• Design, build, and optimize enterprise-scale ETL/ELT pipelines
• Develop modern cloud data solutions using AWS, Snowflake, dbt, and Fivetran
• Create scalable, reusable data models that power analytics and reporting
• Design high-performance Snowflake architectures with a focus on scalability, security, and cost optimization
• Build robust data transformations using SQL, Python, and PySpark
• Implement Infrastructure as Code using Terraform
• Develop CI/CD pipelines for automated deployment and testing of data assets
• Improve data quality, observability, governance, and operational monitoring
• Partner with engineering, architecture, security, and analytics teams to deliver enterprise data solutions
• Mentor other engineers and help establish engineering standards across the organization

What We’re Looking For

• 4+ years of Data Engineering experience
• Strong experience designing and building enterprise-scale data pipelines
• Hands-on expertise with Snowflake, dbt, and Fivetran
• Experience building cloud-native data platforms in AWS
• Advanced SQL and Python skills (PySpark preferred)
• Experience with Terraform and Infrastructure as Code
• Experience implementing CI/CD for data engineering workflows
• Strong understanding of modern data architecture, data modeling, and analytics engineering
• Excellent communication skills with the ability to collaborate across technical and business teams

Why Join?

• Highly visible role driving enterprise data transformation
• Modern cloud-native technology stack
• Opportunity to influence engineering standards and architecture
• Collaborative, innovation-focused engineering culture
• Competitive compensation, annual bonus, comprehensive benefits, and long-term career growth

To Apply for this Job Click Here

To Apply for this Job Click Here

What You’ll Do

• Evaluate existing machine learning models and identify performance improvement opportunities
• Train, test, deploy, and continuously refine production ML models
• Improve feature engineering, model architectures, prediction accuracy, and optimization performance
• Analyze large-scale datasets containing millions of records across multiple sources
• Design and execute experiments to validate model improvements
• Develop production-quality Python code and collaborate through code reviews and testing practices
• Translate insights from complex datasets into measurable product and business outcomes
• Monitor model effectiveness and evolve solutions as user behavior and market conditions change
• Partner with Product, Engineering, and Data teams to align machine learning initiatives with business objectives

What Success Looks Like

During the first several months, you will:

• Gain a deep understanding of existing machine learning systems and business objectives
• Analyze large and complex datasets to uncover optimization opportunities
• Improve prediction, ranking, recommendation, or optimization models
• Introduce enhanced features, architectures, and model configurations
• Deliver production-ready improvements that positively impact key performance metrics and revenue

Ideal Background

Successful candidates may come from backgrounds such as:

• Senior Machine Learning Engineer
• Applied Machine Learning Engineer
• Data Scientist with strong production ML experience
• Software Engineer specializing in Machine Learning

Experience in any of the following areas is highly valued:

• Advertising technology and optimization
• Ranking and bidding systems
• Recommendation engines
• Personalization systems
• Search and relevance algorithms
• Marketplace optimization
• User value prediction
• Large-scale forecasting and predictive systems

Candidates from consumer technology, marketplaces, digital products, or other large-scale data environments are encouraged to apply.

Required Qualifications

• 5+ years of industry experience in Machine Learning Engineering, Applied Machine Learning, or Data Science
• Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related technical field
• Strong Python programming skills with hands-on experience building ML solutions
• Advanced SQL skills, including complex joins, aggregations, and multi-source analysis
• Experience working with datasets containing millions of records
• Experience building, deploying, and optimizing production machine learning models
• Strong understanding of feature engineering and its impact on model performance
• Experience writing maintainable, testable, production-quality code
• Ability to operate independently and drive technical decisions

Preferred Qualifications

• Experience with optimization, ranking, recommendation, or personalization systems
• Background in advertising technology or digital monetization platforms
• Familiarity with feature stores and modern machine learning workflows
• Experience with cloud platforms and modern data technologies
• Knowledge of large-scale experimentation frameworks and model evaluation methodologies

To Apply for this Job Click Here

To Apply for this Job Click Here

CRO Manager

Macclesfield – Hybrid (2-3 Days Per Week)

£50k-£60k

I’m hiring a CRO Manager for one of the UK’s leading customer generation businesses, operating a portfolio of high-traffic digital brands across B2B and B2C markets.

This is a rare opportunity to build an in-house CRO function from scratch, taking ownership of experimentation strategy across multiple brands, products, and customer journeys while helping shape the future of optimisation within the business.

The company

A fast-growing performance marketing and technology business that owns and operates its own digital brands rather than acting as an agency.

Established in 2013, they’ve grown into an international organisation operating across the UK, USA, Canada, Australia, and France, generating high-intent leads through a combination of proprietary technology, data, and digital marketing.

With more than 40 products across multiple acquisition funnels and customer journeys, they have significant traffic volumes and enormous optimisation potential.

The opportunity

After investing in CRO through external consultants for the last two years, the business is now bringing the capability in-house for the first time.

Reporting directly into senior leadership, you’ll have full ownership of:

• The experimentation roadmap
• CRO strategy
• Testing framework and methodology
• Optimisation prioritisation
• Future team growth

This is a genuine greenfield role with strong executive support and a clear opportunity to build a team around you over time.

What you’ll be doing

• Own and develop the CRO roadmap across multiple digital brands
• Design, execute and analyse A/B and multivariate tests
• Build a scalable experimentation framework and testing culture
• Analyse customer behaviour and identify opportunities to improve conversion performance
• Partner with developers to implement experiments and winning variants
• Collaborate with PPC, Marketing, Product and Media Buying teams
• Measure and communicate the commercial impact of optimisation activity
• Prioritise initiatives based on business value and revenue opportunity
• Help establish and grow the company’s internal CRO capability

What they’re looking for

Must-haves

• 5+ years’ experience in Conversion Rate Optimisation
• Proven experience running end-to-end experimentation programmes
• Strong hypothesis generation and test design skills
• Experience withCRO platforms such as:
  • Optimizely
  • VWO
  • Convert.com
  • AB Tasty
  • Similar tools
• Strong understanding of customer journey optimisation
• Experience working on high-traffic websites
• Excellent stakeholder management and communication skills
• Commercial mindset focused on measurable business outcomes

Nice to have

• Lead generation experience
• Agency experience
• Previous mentoring or management experience
• Experience helping build or mature an experimentation function

The team

Initially you’ll operate as an individual contributor with full ownership of experimentation.

You’ll work closely with:

• Marketing
• PPC
• Media Buying
• Product
• Development

The business already has strong development resources in place to support implementation, allowing you to focus on identifying and delivering high-impact opportunities.

Why this role

• Build an internal CRO capability from the ground up
• Own experimentation strategy across multiple brands
• Huge volumes of traffic and optimisation opportunities
• Strong backing from senior leadership
• Clear pathway into team leadership
• Genuine autonomy and ownership from day one
• Exposure across international markets
• Significant commercial impact

Package

• £50,000 – £60,000 salary
• Bonus scheme
• Hybrid working (3 days min per week in Macclesfield)
• Clear progression into leadership
• High levels of ownership and responsibility

Interview process

1. Initial interview with Marketing Manager
2. Practical task and presentation focused on experimentation strategy
3. Final interview with senior leadership

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead Decision Scientist (Experimentation)

Hybrid | Brighton | £90,000 Base

We’re partnering with a fast-growing, product-led technology business that is investing heavily in its Data & AI function. As the organisation evolves, they’re looking for a commercially minded Lead Decision Scientist to help shape product strategy through data-driven decision making.

This is an analytics-focused role where you’ll work closely with Product Managers and Engineering teams to identify opportunities, size business impact and influence where the business invests.

The Role

You’ll be responsible for:

• Identifying and solving high-value business problems through data.
• Conducting product and exploratory analysis to uncover opportunities.
• Designing and measuring experiments, including A/B testing.
• Defining success metrics and evaluating product performance.
• Translating analytical insights into clear commercial recommendations.
• Partnering with cross-functional teams to influence product decisions.

What We’re Looking For

• Experience in Product Analytics, Decision Science or Commercial Analytics.
• Strong SQL and analytical problem-solving skills.
• Experience designing and evaluating experiments.
• Excellent stakeholder management and communication skills.
• A commercial mindset with the ability to influence decision making.
• Comfortable working in fast-paced, ambiguous product environments.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data & AI Strategy Consultant
London hybrid, competitive salary plus bonus and benefits

The Company
They are a global management consultancy with a strong reputation across capital markets and financial services, alongside a growing presence in other regulated industries. The business specialises in end to end transformation, deploying cross functional teams to solve complex client challenges. Their data and AI practice is expanding rapidly, with increasing demand across strategy, governance and data driven transformation.

The Role
You will work closely with senior stakeholders to define and deliver data and AI strategies for large organisations. The work is varied, ranging from short discovery engagements to longer transformation programmes. Responsibilities include:

• Leading or supporting the development of AI and data strategies for enterprise clients
• Engaging with C suite stakeholders to assess current capabilities and define future state roadmaps
• Identifying high value use cases for AI and advanced analytics
• Advising clients on build versus buy decisions for AI solutions
• Supporting AI governance frameworks, including policies and controls for emerging technologies such as Generative AI
• Translating complex technical concepts into clear, actionable recommendations
• Contributing to wider transformation programmes across data management and governance

Your Skills & Experience

• Strong experience in data or AI strategy within a consulting or advisory environment
• Understanding of AI governance, with awareness of policies, risk and regulatory considerations
• Ability to operate in a client facing role, engaging senior stakeholders and driving discussions
• Strong communication and storytelling skills, bridging technical and non technical audiences
• Experience in financial services or another regulated industry such as energy or pharmaceuticals is beneficial
• Understanding of how consulting engagements operate, including delivery models and stakeholder management

What They Offer

• Competitive salary
• Clear progression opportunities across Senior Consultant and Principal levels
• Exposure to high profile, C suite projects across data and AI strategy
• A collaborative and growing team environment within an established consultancy
• Opportunity to specialise in governance and strategy rather than hands on technical delivery

How to Apply
If you are interested in shaping AI strategy and working closely with senior stakeholders on complex transformation programmes, please apply to learn more.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Scientist, Causal Inference

London – 1x every 6 weeks

The Company
They are a global, product led organisation operating at scale with a highly sophisticated data environment. The business places data at the centre of decision making and continues to invest heavily in advanced analytics and AI capabilities. Their datasets are rich and complex, enabling deep analysis of customer behaviour across the full lifecycle. This role sits within a dedicated CLV team focused on maximising long term customer value.

The Role
You will focus on applying causal inference techniques to quantify the true impact of customer behaviours, product features and commercial initiatives. Your work will directly influence how the business invests in growth, retention and engagement. Responsibilities include:

• Applying causal inference methodologies to measure incrementality and customer lifetime value drivers
• Designing and analysing experiments, quasi experiments and observational studies
• Developing frameworks to distinguish correlation from causation in customer behaviour
• Using techniques such as propensity score matching, double machine learning and counterfactual modelling
• Measuring the incremental impact of actions such as product usage or subscription adoption
• Working with large scale customer and product datasets to identify value drivers
• Collaborating with stakeholders to translate complex analysis into clear business recommendations
• Supporting the productionisation of analytical solutions

Your Skills and Experience

• Strong statistical foundation with the ability to apply rigorous analytical methods
• Experience working with customer, product or subscription data
• Knowledge of causal inference techniques such as propensity scoring, incrementality testing and counterfactual analysis
• Experience designing experiments and interpreting A B testing results
• Ability to translate complex technical outputs into clear business insights
• Strong collaboration and stakeholder management skills
• Proactive approach with a focus on delivering commercial impact
• Academic background in a quantitative discipline such as mathematics, statistics, economics or similar

What They Offer

• Competitive salary and comprehensive benefits package
• Clear progression opportunities within a growing data science function
• Exposure to cutting edge causal inference and experimentation methodologies
• Opportunity to work on large scale, high impact data problems
• Collaborative and forward thinking data environment

How to Apply
To find out more or apply for this Data Scientist, Causal Inference role, please get in touch.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Decision Scientist
Brighton (Hybrid), Competitive Salary
This is an opportunity to join a highly data-driven, product-led organisation where analytics and AI are central to shaping commercial decisions and customer experience. As part of a growing data function, you will play a key role in embedding data into product development and driving measurable business impact.
The Company
They are an established and fast-growing digital platform operating at scale across international markets. The business is investing heavily in data, AI, and product innovation, with a strong focus on using insight to drive commercial performance.
Their data function is evolving into a hub-and-spoke model, embedding decision-focused data professionals directly into product teams. This creates a collaborative environment where data has real influence on strategy, product direction, and customer outcomes.
The Role
You will sit within a cross-functional product squad, acting as the data expert responsible for turning insight into action. Your work will shape product decisions, quantify impact, and drive continuous improvement. Responsibilities include:

• Acting as the data lead within a product squad, influencing decisions from planning through to delivery
• Identifying and sizing opportunities to improve product performance and customer experience
• Analysing customer journeys to uncover friction points, conversion drivers, and growth opportunities
• Defining success metrics and building dashboards to track performance
• Designing and running experiments, including A/B testing and statistical analysis
• Developing data-driven features, insights, and lightweight models where appropriate
• Communicating findings clearly to stakeholders, driving actionable recommendations
• Leveraging AI tools and modern analytics approaches to accelerate insight generation

Your Skills and Experience

• Strong commercial experience in analytics, data science, or product analytics roles
• Advanced SQL skills and experience with Python or R for analysis and experimentation
• Experience working with product, engineering, or commercial stakeholders in a collaborative environment
• Strong understanding of experimentation, hypothesis testing, and statistical analysis
• Ability to translate complex data into clear business recommendations
• Experience working with large datasets and modern data platforms
• Interest in AI and emerging technologies, with practical exposure to applied use cases
• A proactive and curious mindset, with the ability to work effectively in ambiguous environments

What They Offer

• Competitive salary and benefits package
• Hybrid working with a collaborative team environment
• Strong focus on learning and development, including dedicated time and resources
• Opportunity to work on impactful, business-critical projects
• Clear progression opportunities within a growing data function
• Exposure to cutting-edge tools, AI-driven workflows, and product innovation

How to Apply
Please apply with your CV to be considered for this opportunity.

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead Data Scientist

This is a important, commerical Lead Data Scientist role within a fast-growing, product-led environment that is redefining how data drives commercial outcomes. The position sits at the intersection of product, analytics and AI, focusing on identifying the right problems to solve, quantifying opportunities and delivering measurable business impact.

The Company
They are an international, product-led digital platform operating across multiple regions, with a strong focus on customer experience, sustainability and innovation. Data and AI sit at the core of their growth strategy, supported by a modern data stack, strong documentation and executive buy-in. The business is evolving into a more decentralised data model, embedding decision-makers directly within product teams. This creates a highly collaborative environment where data professionals have direct influence on product direction and commercial outcomes.

The Role

• Act as the data voice within product teams, shaping decisions from ideation through to delivery
• Identify and define key business problems, with a focus on commercial impact and customer outcomes
• Conduct opportunity sizing, exploratory analysis and deep-dive product analytics
• Design and implement experiments, including A B testing and post-test analysis
• Define success metrics, dashboards and measurement frameworks with product stakeholders
• Translate analysis into clear recommendations that influence investment decisions
• Collaborate with engineering and data teams to build data-driven product features
• Apply light touch data science techniques such as segmentation, forecasting and recommendation approaches
• Use AI and emerging technologies to prototype and enhance product capabilities
• Balance analytical rigour with pace in a fast-moving, ambiguous environment

Your Skills and Experience

• Commercial experience using data to drive business decisions and measurable outcomes
• Proven ability to frame ambiguous problems and translate them into structured analytical approaches
• Experience in product/customer analytics, experimentation and statistical analysis
• Confident stakeholder manager with the ability to influence cross-functional teams
• SQL skills and working knowledge of a programming language such as Python or R
• Understanding of modern data platforms and dashboarding tools
• Strong grasp of experimentation design, including hypothesis testing and sample sizing
• Interest in AI and practical experience using data or AI tools to enhance workflows
• A product mindset, with the ability to connect data work to customer experience and revenue impact

What They Offer

• Competitive salary and comprehensive benefits package
• Clear progression opportunities as the data function continues to scale
• Dedicated learning and development support, including structured upskilling and training resources
• Opportunity to work on cutting edge AI and data-driven product initiatives
• Collaborative, inclusive environment with strong data foundations and leadership support

How to Apply
If you are interested in solving complex business problems and shaping product decisions through data, apply now to learn more.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Decision Scientist

London – hybrid – 3x a week

The Company
They are a global, technology driven marketplace operating across multiple regions, with a strong focus on sustainability and circular commerce. The business has experienced significant growth and continues to invest heavily in product, data and AI capabilities. Data sits at the heart of their strategy, with a mature data platform, strong documentation practices and increasing use of AI assisted analytics. They are evolving their data function into a hub and spoke model, embedding decision making closer to product teams.

The Role
You will operate at the intersection of analytics, product and commercial strategy, helping the business identify the right problems to solve and quantify impact. Key responsibilities include:

• Defining and scoping business problems with a strong commercial lens
• Opportunity sizing and identifying areas to drive revenue, efficiency or customer experience improvements
• Leading product analytics and supporting product squads with insight driven recommendations
• Designing experiments, defining success metrics and measuring A B testing outcomes
• Collaborating with analytics engineering and contributing to the wider data ecosystem
• Applying light touch data science where appropriate, such as segmentation or recommendation logic
• Influencing stakeholders across product, data and commercial teams to support decision making

Your Skills and Experience

• Strong commercial experience in data science within a product led environment
• Ability to translate ambiguous business challenges into structured analytical approaches
• Experience in product analytics, experimentation and performance measurement
• Confidence working with stakeholders and influencing decision making
• Exposure to statistical methods, modelling or machine learning concepts
• Comfortable balancing analytical rigour with pace and prioritisation
• Interest in AI, emerging analytics tools and data driven product development

What They Offer

• Competitive salary and comprehensive benefits package
• Clear progression opportunities as the team scales and embeds into product squads
• Exposure to a modern data and AI environment with strong foundations
• A collaborative culture focused on impact, learning and innovation
• The opportunity to shape how data drives commercial decisions in a growing organisation

How to Apply
If you are interested in applying analytics and data science to solve meaningful business problems and drive measurable impact, please get in touch to learn more.

To Apply for this Job Click Here