STAFF FINANCE DATA SCIENTIST – CONSUMPTION FORECASTING

Staff Finance Data Scientist – Consumption Forecasting

San Francisco / $240000 - $300000 annum

INFO

SALARY:

$240000 - $300000

LOCATION

San Francisco

Permanent

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

CONTACT

Joshua Poore

VP Recruiting – Data Science, ML & AI

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Head of Data Science

London

£700 - £800

+ Data Science & AI

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London

Head of Data Science

London
£700-£800 Per Day
Outside IR35
2 Days On Site
Immediate Start

The Company
They are a growing organisation that places data at the centre of decision-making. With a strong leadership commitment to analytics, they are investing in capability across data science, engineering, and AI. Their environment encourages innovation, experimentation, and cross-functional collaboration. You will join at a pivotal stage, with the chance to influence both strategy and execution.

The Role and Deliverables
* Define and execute the data science strategy, aligning with broader business objectives
* Build, mentor, and lead a high-performing data science team
* Oversee the development and deployment of machine learning models and advanced analytics solutions
* Partner with senior stakeholders to identify opportunities where data science can drive commercial impact
* Establish best practices for model development, validation, and governance
* Deliver measurable outcomes through scalable data science solutions and clear reporting of impact

Your Skills & Experience
* Strong experience leading data science teams and driving strategic initiatives
* Deep expertise in machine learning, statistical modelling, and advanced analytics techniques
* Proficiency in tools such as Python or R, and familiarity with modern data platforms
* Experience translating complex data insights into clear business recommendations
* Demonstrated ability to influence senior stakeholders and lead cross-functional collaboration
* A track record of delivering end-to-end data science projects in a commercial environment

How to Apply
If you are ready to take on a leadership role with real influence, apply now to learn more.

Analytics Engineer

London

£80000 - £85000

+ Advanced Analytics & Marketing Insights

Permanent

London

To Apply for this Job Click Here

Analytics Engineer
London, Hybrid (2 days in office) | Up to £85,000
No sponsorship available now or in the future.

This is an opportunity to join a high growth, product led business where data sits at the centre of decision making. You will play a key role in shaping scalable data models and powering insight across the organisation, directly influencing how products are built and improved.

The Company

They are a fast growing digital platform operating within the financial services space, supporting a large and expanding customer base across the UK. The business is mission driven, focused on helping people make smarter long term decisions, with data deeply embedded in their strategy. Their environment is collaborative, inclusive, and focused on continuous improvement, with strong investment in modern data tooling and practices.

The Role

As an Analytics Engineer, you will bridge the gap between data engineering and analytics by creating reliable, analysis ready datasets and scalable data models. You will work closely with analysts and stakeholders to enable high quality insights across the business.

• Design and build automated data transformations to create trusted datasets
• Develop and scale data models and data catalogues across the platform
• Collaborate with analysts and stakeholders to deliver new analytics features
• Improve code quality, documentation, and best practices across the team
• Champion analytics engineering principles within the wider data function
• Enable improved reporting and insight through well modelled data structures

Your Skills and Experience

• Strong commercial experience working with large datasets and delivering insight
• Advanced SQL skills within modern data platforms such as Snowflake, Databricks, or BigQuery
• Experience building and automating data pipelines and transformations
• Familiarity with dbt for data modelling and transformation workflows
• Working knowledge of Python for data processing
• Experience supporting BI tools such as Power BI or similar platforms
• Understanding of data warehouse modelling principles and best practices
• Experience with version control tools such as Git
• Exposure to CI/CD concepts is beneficial
• Experience within financial services is advantageous but not essential

What They Offer

• Salary up to £85,000
• Performance related bonus
• Hybrid working model with London office presence
• Company pension scheme
• Private medical insurance and health cash plan
• Annual learning and development budget
• Home office setup support
• Cycle to work and wellbeing benefits
• Generous annual leave with additional entitlement over time
• Inclusive and collaborative culture with clear progression opportunities

Please note that candidates must be based in the UK. Sponsorship is not available for this position.

How to Apply

If you are interested in applying your analytics engineering expertise in a growing, impact driven environment, please apply with your CV.

To Apply for this Job Click Here

Staff Product Data Scientist

$190000 - $220000

+ Data Science & AI

Permanent

California

To Apply for this Job Click Here

Staff Data Scientist (Product)

Location: Remote

Salary: $190-220k

We’re partnering with a fast-growing SaaS company to find a Staff Data Scientist for a senior, high-visibility role embedded in their product organization. This is for someone who combines deep statistical expertise with the ability to influence how an entire company makes decisions – not just someone who runs experiments, but someone who builds the culture and infrastructure around them.

What You’ll Be Doing

• Owning and advancing the company’s experimentation roadmap, focused on high-leverage product questions around customer workflows, churn risk, and long-term value
• Designing and analyzing complex A/B tests, multivariate experiments, and Bayesian methods to measure the real impact of product changes
• Applying causal inference techniques (DiD, synthetic control, propensity score matching, instrumental variables) where traditional RCTs aren’t feasible
• Building and governing a unified KPI framework that connects product health metrics to meaningful business outcomes
• Partnering with Data Engineering to build scalable, self-serve experimentation tooling and reusable analytical frameworks
• Translating complex statistical findings into clear, compelling narratives for VP and C-suite audiences
• Mentoring and training junior and mid-level data scientists on experimental design and causal modeling

What We’re Looking For

This is a senior individual contributor role reporting to the Director of Product Data, acting as a strategic thought partner across Product, Engineering, Finance, Design, and Product Marketing. The company is at an inflection point in how it uses data to make product decisions, and this person will be central to shaping that.

Essential:

• 6+ years in applied data science, economics, or product analytics
• Proven expertise in causal inference: DiD, PSM, instrumental variables, quasi-experimentation
• Deep experience in A/B testing methodology including sequential testing, CUPED, variance reduction, and network effects
• Advanced SQL and Python or R for statistical modeling
• Experience with Snowflake or similar cloud data warehouses
• Exceptional communication skills, comfortable presenting to and influencing C-suite stakeholders
• Demonstrated ability to drive change in organizations where experimentation culture is still developing

Nice to have:

• Experience with dbt, Airflow, or Databricks
• Background in SaaS and product data science

To Apply for this Job Click Here

Staff Data Analyst – GTM Analytics

San Francisco

$200000 - $250000

+ Advanced Analytics & Marketing Insights

Permanent

California

To Apply for this Job Click Here

Staff Data Analyst – GTM

Location: Remote
Salary: $200-250k

This fast-growing, Series C cloud platform company is at the forefront of technological innovation, delivering cutting-edge solutions that drive industry transformation. The organization is seeking a highly skilled Staff Data Analyst to lead Go-to-Market (GTM) analytics efforts, enabling strategic growth and turning complex datasets into actionable insights to optimize GTM performance and operational efficiency.

About the Role

This position is central to defining and implementing data strategies that empower GTM teams. By developing metrics, automating reporting, and delivering insightful analyses, the Staff Data Analyst will play a critical role in optimizing growth strategies and ensuring data-driven decision-making.

Key Responsibilities

• Define and implement key GTM metrics to evaluate performance and uncover growth opportunities.
• Conduct in-depth analysis of complex datasets to deliver actionable GTM insights.
• Collaborate with cross-functional teams to identify root causes, refine processes, and inform strategic initiatives.
• Automate reporting workflows and create interactive dashboards to support leadership decision-making.
• Build and enhance datasets for growth optimization and cost reduction initiatives.
• Develop data accessibility solutions, ensuring timely and structured access to insights for all stakeholders.
• Shape the GTM analytics roadmap, aligning data projects with broader organizational goals.

About You

• 6+ years in analytics roles, with expertise in SaaS and product-led growth (PLG) business models.
• Advanced proficiency in SQL and experience with tools such as Looker, Hashboard, or Omni. Familiarity with Python or R and statistical modeling.
• Demonstrated ability to interpret trends, conduct root cause analysis, and deliver data-driven recommendations that influence strategy.
• Strong ability to present complex findings clearly to both technical and non-technical audiences.
• Proven success working in fast-paced, cross-functional environments to drive high-impact outcomes.

This is a unique opportunity to join a dynamic, data-driven organization and make a significant impact on the success of its GTM strategy. If you’re passionate about using data to drive innovation and thrive in a high-growth environment, this role is for you!

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