To Apply for this Job Click Here

HEAD OF DATA SCIENCE

London (Hybrid) | £120,000 – £140,000 + Equity

This is an opportunity to lead the data science strategy for a rapidly growing fintech business where AI, machine learning, and data-driven decision making sit at the heart of the organisation. You’ll play a key role in shaping risk and affordability modelling capabilities while building solutions that directly influence business performance and customer outcomes.

The Company

They are a high-growth financial services organisation using technology and data to transform customer experiences within consumer lending. With strong backing and ambitious growth plans, they are investing heavily in AI, analytics, and automation to drive smarter decision making across the business. This is a business where innovation is encouraged and technical leaders can have a significant impact.

The Role

• Define and lead the data science strategy across risk, affordability, and decisioning.
• Develop and deploy machine learning models that support lending decisions.
• Drive the adoption of AI and advanced analytics solutions across the organisation.
• Partner closely with Product, Engineering, Credit Risk, and Operations teams.
• Own model deployment, monitoring, governance, and performance evaluation.
• Present insights and recommendations to senior stakeholders and leadership teams.

Your Skills & Experience

• Strong commercial experience in credit risk modelling within consumer lending or financial services.
• Hands-on expertise in Python, SQL, machine learning, and predictive modelling.
• Experience deploying models into production environments and monitoring performance.
• Knowledge of AI, LLMs, or agent-based technologies in real-world applications.
• Strong stakeholder management and communication skills.
• Ability to balance technical excellence with commercial objectives.

What They Offer

• Salary of £120,000 – £140,000 depending on experience.
• Equity participation.
• Private healthcare and enhanced pension contribution.
• Generous holiday allowance.
• Clear scope for leadership, ownership, and career progression.

How to Apply

If you’re interested in leading a high-impact data science function within a fast-growing fintech environment, apply today to find out more.

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff Data Scientist, Finance – Consumption Forecasting

Location: San Francisco or New York | Hybrid (3 days per week in office)

Salary: $240-300k base + bonus + equity (RSUs)

This is a rare chance to own forecasting infrastructure at the center of a high-growth, consumption-based developer platform, one that powers some of the world’s most dynamic applications and scales with every developer and enterprise building on it.

As a consumption-based business, forecasting usage across compute, bandwidth, edge, and storage isn’t a support function. It’s foundational to how we plan infrastructure, revenue, and long-term strategy. This role exists to lead that work at the highest level.

What you’ll own

This is a senior individual contributor role with organization-wide impact. You’ll define forecasting methodology, build systems that scale with a rapidly growing platform, and sit at the intersection of Finance, Infrastructure, Product, and GTM with direct visibility to executive leadership.

• Own production revenue forecasting end-to-end: model development, backtesting, deployment, monitoring, and iteration from first principles to live system
• Build forecasting systems that account for usage-based pricing dynamics, consumption patterns, and customer lifecycle across the platform, built for how this business actually works, not retrofitted SaaS models
• Design hierarchical forecasting models across account, cohort, segment, and global aggregate levels, covering operational, quarterly, and long-range planning cycles
• Establish backtesting, monitoring, and explainability standards that make forecast accuracy transparent and defensible
• Build scenario simulation frameworks to evaluate pricing changes, packaging adjustments, and product launches
• Partner with Finance on board-level reporting, with Infrastructure Engineering on capacity planning, and with Product and GTM on adoption curves and usage drivers
• Set forecasting best practices across the broader Data organization

What we’re looking for

• 7+ years in data science, quantitative analytics, or applied statistics at senior or staff level
• Deep expertise in time-series forecasting and statistical modelling in a usage-based or SaaS environment
• Proven track record building and productionizing ML systems at scale
• Strong Python and SQL, with experience on large-scale usage and billing datasets
• Familiarity with probabilistic modelling, hierarchical forecasting, and causal inference
• Experience partnering with Finance or executive leadership on planning cycles
• Comfortable operating autonomously in fast-moving, ambiguous environments

Nice to have

• Background in cloud infrastructure, developer tools, or consumption-based revenue models
• Familiarity with modern data stacks: Snowflake, Delta Lake, dbt, Airflow
• Prior technical mentorship or informal leadership experience

To Apply for this Job Click Here

To Apply for this Job Click Here

LEAD DATA SCIENTIST – CREDIT RISK & ADVANCED ANALYTICS

TEMPE, AZ (HYBRID)

$140,000 – $150,000 BASE + ANNUAL BONUS

The Opportunity Join a high-impact Analytics team focused on solving complex business challenges through advanced data science, predictive modeling, and risk analytics.

This is a highly visible leadership role where you’ll partner directly with executives and cross-functional stakeholders to influence key business decisions, improve customer outcomes, and drive measurable financial impact.

You’ll own projects from concept through implementation, applying machine learning, statistical modeling, and business insight to deliver solutions that make a real difference.

What You’ll Do

• Lead analytical initiatives from problem definition through implementation and measurement
• Develop predictive models to support business strategy, financial forecasting, and risk assessment initiatives
• Leverage machine learning techniques such as gradient boosting, random forests, clustering, and segmentation to generate actionable insights
• Identify trends, quantify opportunities, and uncover root causes within large and complex datasets
• Collaborate with senior stakeholders to translate business challenges into analytical solutions
• Present findings and recommendations to leadership through compelling data storytelling and executive presentations
• Guide and mentor less experienced team members on project execution and analytical methodologies
• Build scalable processes and analytical frameworks that improve business performance over time

What We’re Looking For

• 8+ years of experience in data science, quantitative analytics, predictive modeling, or risk analytics
• Experience applying statistical and machine learning techniques to real-world business problems
• Advanced Python and SQL skills with experience working across large, complex datasets
• Strong understanding of predictive modeling, segmentation, experimentation, and statistical analysis
• Proven track record of influencing business decisions through data-driven recommendations
• Excellent communication skills with the ability to explain complex concepts to executive audiences
• Experience leading initiatives independently with minimal direction
• Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Economics, Engineering, or a related discipline

Nice to Have

• Master’s degree in a quantitative discipline
• Experience within financial services, consumer lending, real estate, healthcare, or other regulated industries
• Background in risk management, portfolio analytics, or credit-related modeling
• Exposure to model validation, governance, audit, or regulatory review processes
• Knowledge of cloud-based data environments including AWS and Snowflake
• Experience utilizing bureau data, scorecards, or advanced forecasting methodologies

Why This Role

• High-visibility role with regular interaction with executive leadership
• Opportunity to drive business outcomes through production-ready analytics and machine learning
• Strong autonomy and ownership over projects and strategy
• Work on initiatives with measurable multi-million-dollar business impact
• Mentor and influence without direct people-management responsibilities
• Collaborative, supportive culture that values innovation, curiosity, and continuous improvement
• Opportunity to see your models implemented and your work recognized across the organization

If you’re a data science leader who enjoys solving complex business problems, influencing executive decisions, and building predictive models that drive real-world results, we’d love to connect.

To Apply for this Job Click Here

To Apply for this Job Click Here

DATA SCIENTIST – CUSTOMER ANALYTICS

London (Hybrid, 2 days per week) | Up to £65,000

Looking to broaden your data science experience across multiple industries? This is an opportunity to join a specialist analytics consultancy delivering end-to-end modelling projects for well-known organisations across sectors. You’ll combine hands-on data science with stakeholder engagement, working on projects that have real commercial impact.

The Company

They are a growing data and analytics consultancy with a strong focus on predictive modelling and customer analytics. With a collaborative team of experienced data professionals, they deliver advanced solutions using modern cloud and data platforms. Their project-based environment offers excellent exposure to a wide range of business challenges and industries.

The Role

• Develop predictive models to solve customer and commercial challenges
• Deliver projects across forecasting, customer segmentation, propensity modelling, and pricing analytics
• Build solutions using Python, SQL, Azure, and Databricks
• Present model outputs and insights to technical and non-technical stakeholders
• Work closely with clients and internal teams throughout the project lifecycle

Your Skills & Experience

• Strong commercial experience in data science and model development
• Advanced Python and SQL skills
• Experience building predictive, forecasting, segmentation, scorecard, or pricing models
• Experience working with stakeholders and communicating analytical findings
• Exposure to Azure and/or Databricks
• Consultancy experience is beneficial but not essential
• Strong academic background in a quantitative discipline

What They Offer

• Salary up to £65,000 depending on experience
• Hybrid working with 2 days per week in the London office
• Broad exposure to projects across multiple industries
• Strong technical environment focused on data science and modelling
• Clear opportunities for professional development and progression

How to Apply

Apply today to learn more about this Data Scientist opportunity.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Scientist, MMM

£70,000 – £90,000

Fully Remote

This is an opportunity to take ownership of marketing measurement within a growing, data-driven consumer marketplace. With significant investment planned across acquisition channels, you’ll play a pivotal role in understanding what genuinely drives growth and where marketing spend can deliver the greatest commercial impact.

THE COMPANY

They are a fast-growing online marketplace operating within the travel and experiences sector, connecting customers with unique experiences through a network of independent partners. The business has built a strong brand, operates with a purpose-led mindset, and combines commercial growth with a commitment to supporting local communities and sustainable business practices. Their data team is lean, highly collaborative, and empowers individuals to own meaningful work. You will have direct exposure to senior stakeholders and the opportunity to influence business decisions through data science, experimentation, and modelling.

THE ROLE

As a Senior Data Scientist, you will own the organisation’s marketing measurement capability and help shape how acquisition budgets are allocated.

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

• Owning and developing the Marketing Mix Modelling (MMM) framework to evaluate channel performance, saturation points, and marginal acquisition costs
• Designing and measuring incrementality experiments including conversion lift studies, holdout testing, and geo-based experiments
• Improving marketing attribution and conversion signal quality in an evolving privacy landscape
• Building and owning Customer Lifetime Value (LTV) models to support bidding strategies, forecasting, and long-term growth decisions
• Translating complex statistical outputs into commercially actionable recommendations for marketing stakeholders
• Working closely with performance marketing teams to optimise budget allocation and acquisition efficiency
• Using AI-powered tools and workflows to accelerate analysis, experimentation, and insight generation
• Contributing to experimentation standards and best practices across the wider data function

SKILLS AND EXPERIENCE

The successful Senior Data Scientist will have the following skills and experience:

• Strong commercial experience in Marketing Mix Modelling, incrementality testing, geo experiments, or marketing measurement
• Excellent statistical knowledge including causal inference, hypothesis testing, regression analysis, power calculations, and experimental design
• Advanced SQL and Python skills for analysis and modelling
• Experience working with modern data platforms such as Snowflake, dbt, and cloud-based analytics environments
• Understanding of digital marketing, attribution methodologies, paid media platforms, and privacy-related measurement challenges
• Ability to communicate complex findings clearly to both technical and non-technical audiences
• Experience building or supporting Customer Lifetime Value modelling is highly desirable
• Confidence leveraging AI tools as part of a modern analytics workflow

BENEFITS

The successful Senior Data Scientist will receive the following benefits:

• Salary between £70,000 – £90,000 – depending on experience
• Fully remote working within the UK
• 38 days annual leave including public holidays

HOW TO APPLY

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

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Scientist, MMM

£70,000 – £90,000

Fully Remote

This is an opportunity to take ownership of marketing measurement within a growing, data-driven consumer marketplace. With significant investment planned across acquisition channels, you’ll play a pivotal role in understanding what genuinely drives growth and where marketing spend can deliver the greatest commercial impact.

THE COMPANY

They are a fast-growing online marketplace operating within the travel and experiences sector, connecting customers with unique experiences through a network of independent partners. The business has built a strong brand, operates with a purpose-led mindset, and combines commercial growth with a commitment to supporting local communities and sustainable business practices. Their data team is lean, highly collaborative, and empowers individuals to own meaningful work. You will have direct exposure to senior stakeholders and the opportunity to influence business decisions through data science, experimentation, and modelling.

THE ROLE

As a Senior Data Scientist, you will own the organisation’s marketing measurement capability and help shape how acquisition budgets are allocated.

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

• Owning and developing the Marketing Mix Modelling (MMM) framework to evaluate channel performance, saturation points, and marginal acquisition costs
• Designing and measuring incrementality experiments including conversion lift studies, holdout testing, and geo-based experiments
• Improving marketing attribution and conversion signal quality in an evolving privacy landscape
• Building and owning Customer Lifetime Value (LTV) models to support bidding strategies, forecasting, and long-term growth decisions
• Translating complex statistical outputs into commercially actionable recommendations for marketing stakeholders
• Working closely with performance marketing teams to optimise budget allocation and acquisition efficiency
• Using AI-powered tools and workflows to accelerate analysis, experimentation, and insight generation
• Contributing to experimentation standards and best practices across the wider data function

SKILLS AND EXPERIENCE

The successful Senior Data Scientist will have the following skills and experience:

• Strong commercial experience in Marketing Mix Modelling, incrementality testing, geo experiments, or marketing measurement
• Excellent statistical knowledge including causal inference, hypothesis testing, regression analysis, power calculations, and experimental design
• Advanced SQL and Python skills for analysis and modelling
• Experience working with modern data platforms such as Snowflake, dbt, and cloud-based analytics environments
• Understanding of digital marketing, attribution methodologies, paid media platforms, and privacy-related measurement challenges
• Ability to communicate complex findings clearly to both technical and non-technical audiences
• Experience building or supporting Customer Lifetime Value modelling is highly desirable
• Confidence leveraging AI tools as part of a modern analytics workflow

BENEFITS

The successful Senior Data Scientist will receive the following benefits:

• Salary between £70,000 – £90,000 – depending on experience
• Fully remote working within the UK
• 38 days annual leave including public holidays

HOW TO APPLY

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

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Scientist, MMM

£70,000 – £90,000

Fully Remote

This is an opportunity to take ownership of marketing measurement within a growing, data-driven consumer marketplace. With significant investment planned across acquisition channels, you’ll play a pivotal role in understanding what genuinely drives growth and where marketing spend can deliver the greatest commercial impact.

THE COMPANY

They are a fast-growing online marketplace operating within the travel and experiences sector, connecting customers with unique experiences through a network of independent partners. The business has built a strong brand, operates with a purpose-led mindset, and combines commercial growth with a commitment to supporting local communities and sustainable business practices. Their data team is lean, highly collaborative, and empowers individuals to own meaningful work. You will have direct exposure to senior stakeholders and the opportunity to influence business decisions through data science, experimentation, and modelling.

THE ROLE

As a Senior Data Scientist, you will own the organisation’s marketing measurement capability and help shape how acquisition budgets are allocated.

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

• Owning and developing the Marketing Mix Modelling (MMM) framework to evaluate channel performance, saturation points, and marginal acquisition costs
• Designing and measuring incrementality experiments including conversion lift studies, holdout testing, and geo-based experiments
• Improving marketing attribution and conversion signal quality in an evolving privacy landscape
• Building and owning Customer Lifetime Value (LTV) models to support bidding strategies, forecasting, and long-term growth decisions
• Translating complex statistical outputs into commercially actionable recommendations for marketing stakeholders
• Working closely with performance marketing teams to optimise budget allocation and acquisition efficiency
• Using AI-powered tools and workflows to accelerate analysis, experimentation, and insight generation
• Contributing to experimentation standards and best practices across the wider data function

SKILLS AND EXPERIENCE

The successful Senior Data Scientist will have the following skills and experience:

• Strong commercial experience in Marketing Mix Modelling, incrementality testing, geo experiments, or marketing measurement
• Excellent statistical knowledge including causal inference, hypothesis testing, regression analysis, power calculations, and experimental design
• Advanced SQL and Python skills for analysis and modelling
• Experience working with modern data platforms such as Snowflake, dbt, and cloud-based analytics environments
• Understanding of digital marketing, attribution methodologies, paid media platforms, and privacy-related measurement challenges
• Ability to communicate complex findings clearly to both technical and non-technical audiences
• Experience building or supporting Customer Lifetime Value modelling is highly desirable
• Confidence leveraging AI tools as part of a modern analytics workflow

BENEFITS

The successful Senior Data Scientist will receive the following benefits:

• Salary between £70,000 – £90,000 – depending on experience
• Fully remote working within the UK
• 38 days annual leave including public holidays

HOW TO APPLY

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

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Scientist, MMM

£70,000 – £90,000

Fully Remote

This is an opportunity to take ownership of marketing measurement within a growing, data-driven consumer marketplace. With significant investment planned across acquisition channels, you’ll play a pivotal role in understanding what genuinely drives growth and where marketing spend can deliver the greatest commercial impact.

THE COMPANY

They are a fast-growing online marketplace operating within the travel and experiences sector, connecting customers with unique experiences through a network of independent partners. The business has built a strong brand, operates with a purpose-led mindset, and combines commercial growth with a commitment to supporting local communities and sustainable business practices. Their data team is lean, highly collaborative, and empowers individuals to own meaningful work. You will have direct exposure to senior stakeholders and the opportunity to influence business decisions through data science, experimentation, and modelling.

THE ROLE

As a Senior Data Scientist, you will own the organisation’s marketing measurement capability and help shape how acquisition budgets are allocated.

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

• Owning and developing the Marketing Mix Modelling (MMM) framework to evaluate channel performance, saturation points, and marginal acquisition costs
• Designing and measuring incrementality experiments including conversion lift studies, holdout testing, and geo-based experiments
• Improving marketing attribution and conversion signal quality in an evolving privacy landscape
• Building and owning Customer Lifetime Value (LTV) models to support bidding strategies, forecasting, and long-term growth decisions
• Translating complex statistical outputs into commercially actionable recommendations for marketing stakeholders
• Working closely with performance marketing teams to optimise budget allocation and acquisition efficiency
• Using AI-powered tools and workflows to accelerate analysis, experimentation, and insight generation
• Contributing to experimentation standards and best practices across the wider data function

SKILLS AND EXPERIENCE

The successful Senior Data Scientist will have the following skills and experience:

• Strong commercial experience in Marketing Mix Modelling, incrementality testing, geo experiments, or marketing measurement
• Excellent statistical knowledge including causal inference, hypothesis testing, regression analysis, power calculations, and experimental design
• Advanced SQL and Python skills for analysis and modelling
• Experience working with modern data platforms such as Snowflake, dbt, and cloud-based analytics environments
• Understanding of digital marketing, attribution methodologies, paid media platforms, and privacy-related measurement challenges
• Ability to communicate complex findings clearly to both technical and non-technical audiences
• Experience building or supporting Customer Lifetime Value modelling is highly desirable
• Confidence leveraging AI tools as part of a modern analytics workflow

BENEFITS

The successful Senior Data Scientist will receive the following benefits:

• Salary between £70,000 – £90,000 – depending on experience
• Fully remote working within the UK
• 38 days annual leave including public holidays

HOW TO APPLY

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

To Apply for this Job Click Here

To Apply for this Job Click Here

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.

To Apply for this Job Click Here

To Apply for this Job Click Here

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.

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead Data Scientist

We are looking for a Lead Data Scientist to own complex quantitative and risk modeling projects from problem definition through implementation. This is a highly visible role where your models will directly influence multi-million-dollar business opportunities and be presented to executive stakeholders.

What You’ll Do

• Build, evaluate, and validate quantitative and risk models.
• Work with large financial and credit datasets.
• Develop models using Python, SQL, and gradient boosting techniques.
• Translate model outputs into measurable financial and dollar impact.
• Own projects end-to-end, from defining the problem through implementation.
• Present technical findings and recommendations to senior and executive stakeholders.
• Defend models and methodology during external audits.
• Help identify and quantify significant financial opportunities.
• Provide technical guidance and support to other team members.

What We’re Looking For

• 8+ years of data science/modeling experience
• Strong Python and SQL skills.
• Strong data modeling experience.
• Strong mathematical and statistical foundation.
• Experience with gradient boosting models.
• Proven ability to independently lead projects end-to-end.
• Excellent communication and presentation skills.
• Comfortable explaining technical work and model results to executives.
• Experience working through external audits and defending models.
• Finance/risk modeling experience within a regulated industry is required.

Required Domain Experience

You should have experience in areas such as:

• Credit risk modeling
• Financial or loss modeling
• Probability of Default (PD) modeling
• Credit scorecards
• Payment behavior modeling
• Credit attribute modeling
• Mortgage, credit card, banking, or credit bureau data
• Risk modeling within a regulated financial institution

Education

• Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science, Quantitative Engineering, or another highly quantitative field.
• Master’s degree in Data Science or a related quantitative discipline preferred.

The Ideal Candidate

This role is suited to a senior-level Data Scientist who can operate independently, drive complex projects, and communicate confidently with both technical and executive audiences.

Location: Tempe, AZ preferred; Dallas or Atlanta also considered
Working Model: Hybrid, 4 days per week (Monday-Thursday)
Compensation: $140,000-$150,000 base
Visa: U.S. Citizen or Green Card holder only

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Scientist

£45,000 – £55,000

Merseyside (3 days a week in office)

This is an excellent opportunity to join a growing Data Science function at a business investing heavily in its data and AI capabilities. You’ll work on high-impact customer and commercial projects, helping to shape how machine learning is adopted across the organisation while gaining exposure to cutting-edge tools and a rapidly evolving data environment.

THE COMPANY

This organisation is investing heavily in its Data and AI capabilities, with a focus on building a scalable Data Science function that delivers real business impact. As Data Science becomes increasingly central to decision-making, you’ll have the opportunity to work on high-profile customer and commercial projects with strong backing from senior leadership. They foster a collaborative, pragmatic culture where Data Scientists are encouraged to move beyond experimentation and deliver solutions that create measurable value. The focus is on deploying models into production and embedding data-driven thinking across the business.

THE ROLE

As a Data Scientist, you will work closely with senior stakeholders, analysts, engineers, and fellow Data Scientists to deliver machine learning solutions across a range of customer and commercial use cases.

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

• Building and deploying predictive machine learning models
• Developing customer segmentation and customer lifetime value models
• Creating forecasting solutions to support business planning
• Delivering propensity and churn models to improve customer engagement
• Translating complex analytical findings into clear business recommendations
• Collaborating with engineering teams to support model deployment and operationalisation
• Supporting the development of a modern Data Science platform
• Working with cloud-based machine learning tools and technologies
• Engaging directly with stakeholders to understand challenges and define analytical solutions

SKILLS AND EXPERIENCE

The successful Data Scientist will have the following skills and experience:

• Strong commercial experience in Data Science and machine learning
• Advanced Python and SQL skills
• Experience using statistical modelling and predictive analytics techniques
• Knowledge of machine learning algorithms such as XGBoost and related ensemble methods
• Experience delivering projects across the full Data Science lifecycle, from problem definition through to deployment
• Ability to communicate technical concepts clearly to non-technical audiences
• Experience working with customer analytics, segmentation, churn, propensity modelling, forecasting, or related use cases
• Exposure to cloud environments such as Azure or GCP is beneficial
• Experience with Azure ML, Vertex AI, or similar machine learning platforms is advantageous

BENEFITS

The successful Data Scientist will receive the following benefits:

• Salary between £45,000 – £55,000 – depending on experience

HOW TO APPLY

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

To Apply for this Job Click Here