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Lead Data Scientist
$140,000-$150,000
4 days/week in-office in NW Phoenix

Overview

A leading enterprise organisation is seeking a senior-level Data Scientist to lead the development, validation, and implementation of advanced quantitative models in a highly regulated environment. This role will serve as a technical leader, partnering with business and executive stakeholders to identify financial opportunities, quantify outcomes, and drive data-driven decision making.
The successful candidate will bring deep expertise in risk and financial modelling, strong statistical and mathematical foundations, and the ability to independently deliver complex analytics projects from concept through deployment and governance review.

Key Responsibilities

• Design, develop, validate, and monitor advanced predictive and risk models.
• Analyse large-scale financial, transactional, and customer datasets.
• Apply machine learning and statistical techniques to solve complex business problems.
• Translate model insights into measurable financial impact and business recommendations.
• Lead analytics initiatives from problem definition through implementation and performance tracking.
• Present technical findings and strategic recommendations to senior leadership and executive stakeholders.
• Support model governance activities, regulatory reviews, and external audit processes.
• Collaborate with cross-functional teams to ensure models are aligned with business objectives and compliance requirements.
• Provide technical guidance and mentorship to peers and junior team members.

Required Qualifications

• 8+ years of experience in Data Science, Quantitative Analytics, Risk Analytics, or a related discipline.
• Advanced proficiency in Python and SQL.
• Strong expertise in data modelling, statistical analysis, and quantitative problem solving.
• Experience developing and evaluating gradient boosting and other predictive modelling techniques.
• Proven ability to independently own and drive complex analytical projects.
• Exceptional communication and presentation skills, including experience presenting to executive audiences.
• Demonstrated experience defending models during audits, reviews, or governance assessments.
• Background in financial or risk modelling within a regulated industry.

Required Domain Experience

Candidates should have experience in one or more of the following areas:

• Credit risk modelling
• Financial forecasting and modelling
• Loss estimation and assessment
• Probability of Default (PD) modelling
• Risk scorecard development
• Payment and behavioural modelling
• Credit attribute modelling
• Banking, lending, consumer credit, mortgage, or credit bureau data
• Financial impact analysis
• Risk analytics within regulated financial institutions

Preferred Qualifications

• Bachelor’s degree in a quantitative discipline such as Mathematics, Statistics, Economics, Computer Science, Engineering, or a related field.
• Master’s degree in Data Science, Statistics, Applied Mathematics, Economics, or a similar quantitative discipline preferred.
• Advanced academic training with significant mathematical and statistical coursework.

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Lead Data Scientist
$140,000-$150,000
4 days/week on-site in Alpharetta

Overview

A leading enterprise organisation is seeking a senior-level Data Scientist to lead the development, validation, and implementation of advanced quantitative models in a highly regulated environment. This role will serve as a technical leader, partnering with business and executive stakeholders to identify financial opportunities, quantify outcomes, and drive data-driven decision making.
The successful candidate will bring deep expertise in risk and financial modelling, strong statistical and mathematical foundations, and the ability to independently deliver complex analytics projects from concept through deployment and governance review.

Key Responsibilities

• Design, develop, validate, and monitor advanced predictive and risk models.
• Analyse large-scale financial, transactional, and customer datasets.
• Apply machine learning and statistical techniques to solve complex business problems.
• Translate model insights into measurable financial impact and business recommendations.
• Lead analytics initiatives from problem definition through implementation and performance tracking.
• Present technical findings and strategic recommendations to senior leadership and executive stakeholders.
• Support model governance activities, regulatory reviews, and external audit processes.
• Collaborate with cross-functional teams to ensure models are aligned with business objectives and compliance requirements.
• Provide technical guidance and mentorship to peers and junior team members.

Required Qualifications

• 8+ years of experience in Data Science, Quantitative Analytics, Risk Analytics, or a related discipline.
• Advanced proficiency in Python and SQL.
• Strong expertise in data modelling, statistical analysis, and quantitative problem solving.
• Experience developing and evaluating gradient boosting and other predictive modelling techniques.
• Proven ability to independently own and drive complex analytical projects.
• Exceptional communication and presentation skills, including experience presenting to executive audiences.
• Demonstrated experience defending models during audits, reviews, or governance assessments.
• Background in financial or risk modelling within a regulated industry.

Required Domain Experience

Candidates should have experience in one or more of the following areas:

• Credit risk modelling
• Financial forecasting and modelling
• Loss estimation and assessment
• Probability of Default (PD) modelling
• Risk scorecard development
• Payment and behavioural modelling
• Credit attribute modelling
• Banking, lending, consumer credit, mortgage, or credit bureau data
• Financial impact analysis
• Risk analytics within regulated financial institutions

Preferred Qualifications

• Bachelor’s degree in a quantitative discipline such as Mathematics, Statistics, Economics, Computer Science, Engineering, or a related field.
• Master’s degree in Data Science, Statistics, Applied Mathematics, Economics, or a similar quantitative discipline preferred.
• Advanced academic training with significant mathematical and statistical coursework.

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Principal Data Engineer

£90,000 – £110,000

London, Harmondsworth (3 days a week in office)

This is an opportunity to join a large-scale organisation undergoing an exciting transformation of its data capabilities. You’ll play a key role in shaping engineering standards, influencing technical direction, and leading the delivery of business-critical data products within a modern cloud environment.

THE COMPANY

They are a well-established UK organisation investing heavily in their data and technology landscape. Operating within a federated data model, they have embedded data teams across the business to drive innovation and commercial impact. Their engineering teams work with complex, high-volume datasets that directly support key business decisions and outcomes. You’ll join a collaborative environment where technical excellence, continuous improvement, and knowledge sharing are actively encouraged. This is a role with genuine influence and visibility across the wider organisation.

THE ROLE

As a Principal Data Engineer, you will combine hands-on engineering with technical leadership, people management, and stakeholder engagement.

Specifically, you can expect to be involved in the following:

• Providing technical leadership across Data Engineering, Software Engineering, and DevOps practices
• Building, improving, and maintaining scalable data platforms and pipelines
• Working closely with engineering teams to establish best practices, standards, and delivery frameworks
• Troubleshooting complex technical challenges and helping unblock delivery teams
• Leading, coaching, and mentoring engineers to support their professional development
• Driving continuous improvement across data products, tooling, and engineering processes
• Collaborating with senior stakeholders to align technical solutions with business objectives
• Supporting the ongoing evolution of a modern cloud-based data ecosystem using AWS, Snowflake, and dbt
• Contributing to the operation, monitoring, optimisation, and reliability of production data systems

SKILLS AND EXPERIENCE

The successful Principal Data Engineer will have the following skills and experience:

• Strong commercial experience in Data Engineering and modern software engineering practices
• Expertise working with AWS cloud services
• Experience building and scaling solutions within Snowflake
• Strong knowledge of dbt and modern data transformation methodologies
• Excellent SQL and data modelling capabilities
• Experience with CI/CD, DevOps practices, testing, monitoring, and operational support
• Ability to lead technical discussions and influence engineering decisions across teams
• Experience managing, coaching, or mentoring engineers
• Strong stakeholder management and communication skills
• Ability to thrive within large, complex organisational environments

BENEFITS

The successful Principal Data Engineer will receive the following benefits:

• Salary between £90,000 – £110,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

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Customer Insight Analyst

£40,000

Hybrid – Leeds (2x days per week)

Looking for a role where you can combine marketing analytics, customer insights, and data visualisation to influence business decisions? This is an excellent opportunity to join a growing data function where your analysis will directly shape marketing performance, customer strategy, and commercial outcomes.

The Company

They are a well-established organisation with a specialist data and analytics team at the centre of the business. Working across a diverse portfolio of projects, they help stakeholders unlock value from customer and marketing data through advanced analytics and insight-led decision making. They foster a collaborative culture where analytical thinking, innovation, and professional development are encouraged. This role offers exposure to a wide range of industries, datasets, and business challenges.

The Role

You will work across customer and marketing analytics projects, helping stakeholders understand behaviour, optimise performance, and make data-driven decisions.

Responsibilities include:

• Analysing customer behaviour, loyalty, retention, and purchasing trends
• Evaluating marketing effectiveness across digital and paid media channels
• Developing dashboards and data visualisations using Power BI, Tableau, Looker, or similar tools
• Conducting detailed analysis to identify trends, opportunities, and performance drivers
• Presenting insights and recommendations to stakeholders in a clear and engaging way
• Building reports and presentations that translate complex data into actionable business outcomes
• Supporting wider analytics initiatives, strategic projects, and product development activities
• Working with both internal teams and external stakeholders to deliver impactful insight-led solutions

Your Skills & Experience

• Strong commercial experience within marketing analytics and customer analytics
• Advanced Excel skills, including data manipulation, analysis, and pivot tables
• Experience using Python for data analysis and insight generation
• Strong dashboard development and data visualisation capabilities
• Experience presenting insights through PowerPoint and stakeholder-facing presentations
• Understanding of marketing KPIs such as ROAS, CTR, CPL, conversion rate, and campaign performance metrics
• Ability to identify patterns in data and translate findings into strategic recommendations
• Strong communication skills with the ability to explain technical concepts to non-technical audiences
• Exposure to tools such as Google Ads, Meta, LinkedIn, GA4, Adobe Analytics, DV360, or similar marketing platforms would be beneficial
• A curious, problem-solving mindset with the ability to manage multiple projects effectively

What They Offer

• Competitive salary
• Hybrid working model
• Private health insurance
• Life assurance
• Company pension scheme
• 25 days annual leave
• Paid volunteering day each year
• Cycle to work scheme
• Season ticket loan
• Clear opportunities for career development within a growing analytics function
• Exposure to a broad range of analytical challenges and stakeholders

How to Apply

If you are passionate about marketing analytics, customer insights, and turning data into meaningful business impact, apply today to discuss this opportunity in confidence.

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Principal Data Engineer

Hounslow, West London (Hybrid) | £110,000 + Benefits

This is an opportunity for a technically strong Principal Data Engineer to combine hands-on engineering with leadership, mentorship, and strategic influence. You’ll work on large-scale, commercially critical data platforms while helping shape engineering standards across a growing data function.

The Company
They are a large, data-driven organisation investing heavily in modern data capabilities and engineering excellence. Operating within a federated data model, they have embedded data teams working closely with business stakeholders to deliver impactful data products. The environment offers exposure to complex datasets, modern cloud technologies, and the opportunity to influence data engineering at scale.

The Role
You will provide technical leadership while remaining actively involved in engineering delivery and platform development.
Responsibilities include:

• Leading the design, development, and optimisation of scalable data platforms and pipelines.
• Driving best practices across Data Engineering, Software Engineering, and DevOps.
• Working extensively with AWS, Snowflake, and dbt.
• Troubleshooting complex technical challenges and supporting teams to unblock delivery.
• Coaching, mentoring, and managing engineers to develop technical capability.
• Influencing engineering standards and continuous improvement initiatives.
• Collaborating with stakeholders across technology and business functions.
• Supporting the development of reliable, secure, and high-performing data products.
• Contributing to technical strategy and platform evolution.

Your Skills & Experience

• Strong commercial experience in Data Engineering or a related engineering discipline.
• Expertise with AWS and cloud-native data platforms.
• Hands-on experience with Snowflake and dbt.
• Strong software engineering and data architecture fundamentals.
• Experience building and supporting production-grade data solutions.
• Knowledge of CI/CD, automation, testing, monitoring, and DevOps practices.
• Experience leading technical initiatives and influencing engineering standards.
• Strong communication and stakeholder management skills.
• Proven ability to mentor, coach, and develop engineering talent.

What They Offer

• Salary of £110,000 plus benefits.
• Hybrid working with three days per week onsite in Hounslow.
• Opportunity to shape engineering standards across a growing data organisation.
• Exposure to large-scale, business-critical datasets and complex technical challenges.
• Leadership responsibility with a blend of hands-on engineering and team development.
• Long-term career progression within a modern data environment.

How to Apply
If you’re an experienced Principal Data Engineer looking for a role that combines technical depth, leadership, and strategic influence, apply today to find out more.

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Senior Growth Analyst

London (Shoreditch) | Up to £80,000 + Benefits

If you’re a commercially minded analyst who enjoys shaping strategy rather than simply reporting on performance, this Senior Growth Analyst opportunity offers the chance to influence decision-making across growth, product, and marketing functions within a fast-scaling consumer business. You’ll work closely with senior stakeholders, drive experimentation, and uncover opportunities that directly impact revenue, customer acquisition, and retention.

The Company

They are a high-growth consumer subscription business that places analytics at the centre of decision-making. Operating in a fast-paced and highly data-driven environment, they use customer insights, experimentation, and performance analysis to drive sustainable growth. Analytics teams work as strategic partners to the wider business, influencing investment decisions, product development, and commercial strategy.

The Role

You will:

• Partner with Product, Marketing, Finance, and Data teams to support growth strategy and decision-making.
• Proactively identify opportunities across acquisition, conversion, retention, customer value, and marketing effectiveness.
• Lead analysis across customer funnels, lifecycle performance, campaign effectiveness, and channel optimisation.
• Design, analyse, and interpret experiments, including A/B testing and incrementality analysis.
• Translate complex business questions into analytical frameworks, actionable insights, and clear recommendations.
• Define and monitor business KPIs, identify performance trends, and uncover root causes behind key changes.
• Influence prioritisation, investment decisions, and growth roadmaps through data-driven recommendations.

Your Skills & Experience

• Strong commercial experience in Growth Analytics, Marketing Analytics, or Product Analytics.
• Advanced SQL skills and experience working with large, complex datasets.
• Strong experience analysing funnels, cohorts, customer behaviour, experiments, and lifecycle performance.
• Experience with A/B testing, experimentation, attribution modelling, marketing performance, or conversion optimisation.
• Ability to move beyond reporting and provide strategic recommendations that influence business outcomes.
• Excellent stakeholder management and communication skills, with confidence engaging senior audiences.
• Experience with visualisation tools. Exposure to dbt, BigQuery, Looker, Hex, PostHog, Snowplow, or similar technologies would be advantageous.
• A proactive, curious approach and the ability to thrive in an environment with ambiguity and pace.

What They Offer

• Private healthcare and additional wellbeing benefits.
• Annual professional development budget.
• Enhanced annual leave and pension contributions.
• Clear opportunity to partner with senior leadership and influence the direction of a growing business.

How to Apply

To find out more about this Senior Growth Analyst opportunity, please submit your CV for a confidential discussion.

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Marketing and Customer Analyst
London or Leeds (Hybrid, 2 days per week) | Up to £40,000 – £45,000
This is an exciting opportunity for a Marketing and Customer Analyst to join a growing analytics function where data plays a central role in driving business performance. You’ll work across a variety of marketing and customer insight projects, helping stakeholders make informed decisions through high-quality analysis and actionable recommendations.
The Company
They are a data-driven organisation that partners closely with commercial and marketing teams to deliver meaningful insight and measurable business impact. Their analytics team works across a broad range of customer, marketing, and performance-focused projects, combining analytical expertise with strategic thinking. They offer a collaborative environment with excellent opportunities for learning and development.
The Role
You will:
* Analyse marketing and customer data to identify trends, opportunities, and business insights
* Evaluate campaign performance and provide recommendations to improve marketing effectiveness
* Build and maintain dashboards and visualisations using tools such as Power BI, Tableau, or Looker
* Conduct customer behaviour analysis including retention, loyalty, and purchasing patterns
* Present insights and recommendations to both technical and non-technical stakeholders
* Support a variety of analytical projects across marketing, customer, and commercial teams
* Translate complex datasets into clear business narratives that drive decision-making
* Work with stakeholders to understand business challenges and deliver data-led solutions
Your Skills & Experience
You will have:
* Strong commercial experience in marketing analytics or customer analytics
* Advanced Excel skills including data manipulation, analysis, and reporting
* Experience using Python for data analysis and insight generation
* Strong dashboard development and data visualisation experience
* Knowledge of marketing metrics such as ROAS, CTR, conversion rate, and customer acquisition metrics
* Experience analysing customer behaviour and performance trends
* Excellent communication and stakeholder management skills
* The ability to translate complex analysis into practical business recommendations
* A proactive and inquisitive approach to problem-solving
What They Offer
* Hybrid working model
* Private healthcare
* Pension scheme
* Life assurance
* Generous annual leave allowance
* Wellbeing and lifestyle benefits
* Exposure to a wide variety of analytics projects and stakeholders
* Clear opportunities for professional growth and career progression within a developing analytics team
How to Apply
If you’re interested in applying your analytics expertise to solve complex marketing and customer challenges, please submit your CV for further information on this opportunity.

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Machine Learning Scientist

Remote (USA only)

About the Role

A frontier AI-driven bio-tech company is hiring a Machine Learning Scientist to help develop next-generation foundation models at the intersection of AI and biology.

This is an individual contributor role for a researcher who enjoys taking ideas from concept to experimentation, working on challenging problems, and collaborating with a highly technical team.

Responsibilities

• Design, train, and evaluate state-of-the-art machine learning and foundation models.
• Rapidly prototype and test new research ideas.
• Develop benchmark tasks and evaluation frameworks.
• Collaborate closely with researchers, scientists, and engineers.
• Contribute to publications and technical presentations.

Ideal Background

• PhD in Computer Science, Machine Learning, AI, Physics, Mathematics, Computational Neuroscience, or a related quantitative field.
• Strong publication record at leading conferences such as NeurIPS, ICML, ICLR, CVPR, or equivalent venues.
• Experience building models in PyTorch and conducting original machine learning research.
• Background in foundation models, LLMs, computer vision, multimodal learning, generative AI, robotics, or scientific machine learning.

Biology experience is a plus but not required. Exceptional researchers from computer vision, language modeling, robotics, autonomous driving, and other highly quantitative fields are encouraged to apply.

Why Join?

• Work on cutting-edge machine learning research with real-world impact.
• Collaborate with world-class researchers and scientists.
• Help shape the future of AI-driven scientific discovery.

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Vice President, AI / Machine Learning Engineering

We’re partnering with a highly regarded AI team building products used by hundreds of thousands of users every day.

This is not a research role. They’re looking for engineers who can take an idea on Thursday and have a production-ready solution in users’ hands by Monday.

The team is building AI-powered products across:

• Enterprise chatbots and conversational AI
• Agent frameworks and workflow automation
• Text-to-code applications
• Natural language interfaces for databases
• Internal AI productivity tools at massive scale

They’re looking for engineers with:

• Strong AI/ML engineering experience
• Deep understanding of LLMs and foundation models
• Experience building applications with LLM APIs
• AWS, Kubernetes and distributed systems experience
• Strong software engineering and system design fundamentals
• The ability to operate autonomously and deliver end-to-end solutions

Ideal candidates are full-stack ML engineers who can prototype, build, deploy and scale products independently. A background in NLP, Computer Vision or advanced AI research is highly valued, but the ability to ship production systems is what matters most.

Why Join?

• Build AI products used by hundreds of thousands of users globally
• Work on some of the most visible AI initiatives within the organization
• Operate with significant autonomy and ownership
• Partner directly with senior leadership on high-priority initiatives
• See your work deployed at scale and delivering measurable impact from day one
• Join a team of exceptional engineers focused on turning cutting-edge AI into production-ready products

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PRINCIPAL SOFTWARE ENGINEER

BAY AREA, CA (3 DAYS IN OFFICE)

$280,000 – $350,000+ (BASE + EQUITY)

An exciting opportunity for a hands-on Senior Software Engineer to join a lean, profitable platform connecting creators through video.

THE COMPANY

A profitable, early-stage tech company with a small Bay Area-based team. The product already reaches a significant audience and focuses on high-impact, user-generated video content.

THE ROLE

Hands-on engineering and AI work across the platform:

• Build agentic GenAI workflows using internal datasets
• Develop marketing and growth systems: email delivery, personalization, engagement tracking
• Create commercial AI models to understand user behavior and engagement
• Collaborate across product and engineering teams
• End-to-end coding, system design, and customer validation

YOUR SKILLS & EXPERIENCE

• Backend: Python, Django or Flask or FastAPI
• Frontend: React
• Cloud/Infrastructure: AWS
• Databases: PostgreSQL
• AI/ML: OpenAI; knowledge of agent systems helpful
• Experience with large-scale data and knowledge systems is a plus
• Comfortable working in a lean, high-ownership environment

HOW TO APPLY

Please register your interest by sending your resume to Calum Reid via the apply link on this page.

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Solution Consultant

Location: Remote (USA)

About the Role

We are seeking a Solution Consultant to help customers successfully adopt and maximize the value of our software after implementation. This is a highly customer-facing role focused on training, user support, customer engagement, and long-term adoption.

Responsibilities

• Deliver customer training and onboarding.
• Provide ongoing product support and troubleshoot user issues.
• Build strong relationships with customers and act as a trusted point of contact.
• Proactively engage users to increase adoption and utilization.
• Analyze healthcare claims data to provide relevant, customer-specific guidance.
• Gather customer feedback and contribute to product improvement efforts.
• Create training materials, documentation, and best practices.

Qualifications

• Experience working with healthcare claims data.
• Background in healthcare fraud, waste & abuse (FWA), investigations, auditing, compliance, claims analysis, SIU, Medicaid Program Integrity, healthcare insurance, or government healthcare programs.
• Strong understanding of healthcare operations and how data is used to support investigations, oversight, or program integrity.
• Excellent communication, presentation, and training skills.
• Customer-focused with strong relationship-building abilities.
• Strong analytical and problem-solving skills.
• Comfortable learning and adopting new technologies.
• No coding or software development experience required.

Government healthcare experience is a plus; candidates from private healthcare organizations with relevant claims and investigation experience are also encouraged to apply.

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Senior Machine Learning Engineer (Applied ML)

About the Company

Our client is a high-scale consumer technology company leveraging machine learning, advanced analytics, and large-scale data systems to optimize user experiences and drive meaningful business impact. Their products reach millions of users globally, providing an opportunity to work on ML systems at significant scale.

The Role

They are hiring a Senior Machine Learning Engineer to own and improve production machine learning models that directly impact key business metrics. This is a highly applied ML role focused on model performance, experimentation, feature engineering, and continuous optimization-not ML infrastructure.

You’ll work with large-scale datasets to improve prediction, ranking, recommendation, and optimization systems, partnering closely with Product, Data, and Engineering teams to deliver measurable outcomes.

What They’re Looking For

• 5+ years of experience in Machine Learning Engineering, Applied ML, or Data Science
• Strong hands-on Python and SQL skills
• Experience building, deploying, and improving production ML models
• Experience working with large-scale datasets
• Strong understanding of feature engineering, model optimization, and experimentation
• Experience with recommendation systems, ranking, personalization, Ad Tech, search, marketplace optimization, or similar large-scale ML problems
• Ability to operate independently, take ownership, and drive technical decisions

Why Join?

• Work on high-impact ML systems serving millions of users
• Own and improve models that directly influence product performance and revenue
• Join a mature engineering environment with strong data infrastructure already in place
• Operate as a senior individual contributor with significant ownership and impact

Location

Remote within the following states: California, Washington, Texas, Arizona, Utah, Nevada, New Jersey, New York, and Oklahoma.

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