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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

Senior Data Scientist

UK Remote | £70,000 – £90,000

Join a growing digital marketplace at a pivotal stage of expansion. With marketing investment set to increase significantly, this role offers the opportunity to shape how marketing performance is measured, optimise budget allocation, and influence commercial growth through advanced analytics and experimentation.

The Company
They are a fast-growing online marketplace with a strong focus on sustainability, customer experience, and supporting independent partners. Operating within a modern, data-driven environment, they use analytics to inform key business decisions and drive long-term growth. The business offers genuine ownership, autonomy, and the chance to make a measurable impact.

The Role

• Own and enhance the Marketing Mix Model (MMM) to measure channel effectiveness and marginal returns.
• Design and evaluate incrementality tests, conversion lift studies, and geo experiments.
• Improve attribution and marketing measurement frameworks.
• Build and maintain Customer Lifetime Value (LTV) models to support acquisition strategy and budget decisions.
• Translate statistical analysis into clear commercial recommendations.
• Partner closely with marketing stakeholders to optimise spend and performance.
• Use AI tools to accelerate analysis, experimentation, and insight generation.

Your Skills & Experience

• Strong experience in marketing measurement, MMM, incrementality testing, or experimentation.
• Excellent statistical knowledge including causal inference, hypothesis testing, regression analysis, and experimental design.
• Strong SQL skills with experience working in modern analytics environments.
• Experience with Python and tools such as Snowflake and dbt.
• Understanding of attribution, paid media measurement, and privacy-related challenges.
• Ability to communicate complex findings to non-technical stakeholders.

What They Offer

• £70,000 – £90,000 salary.
• Fully remote working within the UK.
• Annual bonus.
• 38 days holiday including bank holidays.
• Private healthcare and generous pension.
• Flexible working arrangements.
• Regular company meetups and employee discounts.
• High visibility and ownership within a growing data team.

How to Apply
Apply today to learn more about this Senior Data Scientist opportunity and how you can help shape marketing strategy through data science and experimentation.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Scientist – London 2 days

Looking to combine hands-on data science with client-facing analytics projects? This is an opportunity to join a well-established data and analytics consultancy where you’ll work on predictive modelling projects, collaborate directly with clients, and help turn complex datasets into actionable business outcomes. You’ll have exposure to a broad range of industries and the chance to influence both project delivery and the development of data-driven products.

The Company
They are a leading data and analytics consultancy that combines proprietary data assets with advanced analytical expertise to help organisations make better decisions. Operating across a range of sectors including utilities, telecommunications, financial services and the not-for-profit space, they deliver solutions that blend data, technology and commercial insight.

Their teams work across analytics, data science and product development, using modern cloud technologies and large-scale datasets to solve business challenges and create measurable value for clients.

The Role
As a Data Scientist, you will:

• Build and refine predictive models, including propensity and customer behaviour models
• Work closely with clients to understand business problems and define analytical approaches
• Lead and contribute to data discovery sessions with business stakeholders and subject matter experts
• Analyse large datasets to identify trends, patterns and opportunities
• Present findings, recommendations and model outputs to both technical and non-technical audiences
• Prototype and test new analytical approaches using modern data science tools and techniques
• Contribute to the optimisation and ongoing improvement of deployed models
• Support the development of scalable data products and analytical solutions

Your Skills & Experience

• Strong commercial experience using Python and SQL
• Experience building, training and improving machine learning or predictive models
• Ability to analyse complex datasets and translate findings into business insight
• Databricks experience would be highly advantageous
• Experience working with large transactional, behavioural or customer datasets
• Consulting, agency or client-facing analytics experience is beneficial
• Strong communication skills with the ability to engage both technical and non-technical audiences

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

Senior Data Scientist
London | £75,000 – £85,000

This is an excellent opportunity for a Senior Data Scientist to join a growing technology business at a key stage of its journey. You’ll work on high-impact machine learning projects, help shape analytical best practice, and see your work directly influence product development and client outcomes.

The Company
They are a data-driven SaaS business that helps organisations make better commercial decisions through advanced analytics and machine learning. Their products support businesses across a variety of consumer-focused sectors, transforming complex datasets into practical insights. With an expanding client base and ambitious growth plans, they are continuing to invest in their Data Science capability and product innovation.

The Role

• Build and deploy machine learning models across forecasting, customer segmentation, and propensity modelling
• Own projects across the full model lifecycle, from data exploration and feature engineering through to deployment and monitoring
• Partner with Product, Engineering, and commercial teams to deliver scalable analytical solutions
• Translate complex findings into clear, actionable recommendations for stakeholders
• Support the development of data science standards, validation frameworks, and best practices
• Mentor junior team members and contribute to a collaborative data science culture

Your Skills & Experience

• Strong commercial experience in Data Science and Machine Learning
• Advanced Python and SQL skills with experience building production-ready models
• Expertise across forecasting, predictive modelling, customer segmentation, and classification techniques
• Experience working with AI-assisted development tools such as GitHub Copilot, Claude, Codex, or similar to improve productivity and code quality
• Understanding of LLM applications, prompt engineering, and practical AI use cases within analytics workflows
• Excellent stakeholder management skills with the ability to translate technical outputs into clear business recommendations

How to Apply
If you’re interested in this Senior Data Scientist opportunity, please apply with your CV for immediate consideration.

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

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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.

To Apply for this Job Click Here

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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

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