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Senior Data Scientist Finance Jobs (NOW HIRING)

Intuit

Senior Data Scientist

Mountain View, CA · On-site

$162K - $220K/yr

As a Senior Data Scientist, you will own end-to-end delivery of the metrics, data products, and analyses that leaders across product, finance, and marketing rely on to understand and grow the ...

Novo Nordisk

Senior Data Scientist

Plainsboro, NJ · On-site

Finance & Operations works closely across the organization to guide enterprise-wide resource ... The Senior Data Scientist will build machine learning-based tools and processes within the company ...

Figma

Data Scientist, Finance

Figma is a company focused on making design accessible to all, and they are seeking a Finance Data Scientist to enhance their financial data systems. This role involves building data foundations for ...

Snowflake

Staff Data Scientist, Finance

Menlo Park, CA · On-site

$184K - $264K/yr

Staff Data Scientist, Finance About the Team The Finance Data Science team builds the forecasting ... Communicate clearly with senior leaders about the drivers behind forecast movements, key ...

Figma

Data Scientist, Finance

San Francisco, CA · On-site

Figma is growing our Finance Data Science team at a pivotal moment in the company's evolution. As a public company, the accuracy, scalability, and sophistication of our financial data systems have ...

Versant Health, Inc.

Senior Data Scientist

Troy, NY · On-site

$150 - $210/hr

The Senior Data Scientist is a principal‑level individual contributor responsible for ... decisions, financial performance, operational efficiency, and regulatory posture. This role ...

Versant Health, Inc.

$150 - $210/hr

The Senior Data Scientist is a principal‑level individual contributor responsible for ... decisions, financial performance, operational efficiency, and regulatory posture. This role ...

Versant Health

Senior Data Scientist

Troy, NY · On-site

Senior Data Scientist Senior Data Scientist Who are we? Versant Health is one of the nation ... decisions, financial performance, operational efficiency, and regulatory posture. This role ...

Ramp

Data Scientist, Finance

New York, NY · On-site

$137K - $297K/yr

Minimum of 3 years of industry experience in Data Science / Software Engineering / Finance * Strong AI proficiency as a lever to quickly adopt new skills and subject matter * Track record of shipping ...

Triwill Group

Data Scientist, Finance

Manhattan, NY · On-site

$140 - $220/hr

Minimum of 3 years of industry experience in Data Science / Software Engineering / Finance * Strong AI proficiency as a lever to quickly adopt new skills and subject matter * Track record of shipping ...

PROPRIUS

Senior Data Scientist

San Francisco, CA

Senior Data Scientist Location: San Francisco, CA Sponsorship: Yes Relocation: Yes Industry:Data Science Are you an experienced Data Scientist with 5+ years' experience who likes solving complex ...

Immersion Consulting

Senior Data Scientist

The Senior Data Scientist provides advanced analytics, machine learning, and investigative data ... Collaborate with criminal investigators to support financial fraud investigations and audits.

Ramp Corp.

Data Scientist, Finance

Manhattan, NY · On-site

$130 - $190/hr

Minimum of 3 years of industry experience in Data Science / Software Engineering / Finance * Strong AI proficiency as a lever to quickly adopt new skills and subject matter * Track record of shipping ...

Hobbsnews

Senior Data Scientist

Sunnyvale, CA · On-site

$154 - $311/hr

Senior Data Scientist This role has been designed as 'Onsite' with an expectation that you will ... financial and emotional wellbeing. Personal & Professional Development We also invest in your ...

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$142.5K

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How much do senior data scientist finance jobs pay per year?

As of Aug 26, 2026, the average yearly pay for senior data scientist finance in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What does a senior data scientist in finance do?

A Senior Data Scientist in Finance leverages advanced analytics, machine learning, and statistical modeling to analyze financial data and solve complex business problems. They often work on projects like risk modeling, fraud detection, algorithmic trading, and financial forecasting. Their role involves collaborating with stakeholders to translate business needs into actionable data-driven solutions, and they are typically responsible for leading data science teams or mentoring junior analysts. Strong programming, quantitative, and communication skills are essential for this position.

What are the key skills and qualifications needed to thrive as a senior data scientist in finance?

To thrive as a Senior Data Scientist in Finance, you need advanced statistical analysis, machine learning expertise, financial domain knowledge, and typically a graduate degree in a quantitative field. Mastery of tools like Python, R, SQL, and experience with financial modeling platforms or cloud analytics environments is common, as are certifications such as CFA or FRM. Strong problem-solving, communication, and stakeholder management skills set standout professionals apart in this role. These capabilities ensure accurate insights, effective risk assessment, and data-driven decision-making essential for financial institutions.

How does a senior data scientist in finance typically collaborate with other departments to drive business impact?

Senior Data Scientists in Finance frequently work closely with cross-functional teams such as risk management, compliance, product development, and IT. They translate complex financial data into actionable insights, supporting decision-making across the organization. Effective collaboration often involves leading data-driven projects, communicating findings to non-technical stakeholders, and ensuring models align with regulatory requirements. This collaborative approach not only enhances business strategies but also fosters a culture of data-driven decision-making within the company.

What is the difference between Senior Data Scientist Finance vs Data Scientist Finance?

AspectSenior Data Scientist FinanceData Scientist Finance
Required CredentialsAdvanced degree (Master's/PhD), relevant certifications (e.g., CFA, FRM)Bachelor's or Master's in Data Science, Finance, or related fields
Work EnvironmentLeadership roles, project oversight, mentoringData analysis, model development, reporting
Employer & Industry UsageFinancial institutions, investment firms, banksFinancial firms, fintech companies, asset management
Common Search & Comparison IntentUnderstanding senior-level responsibilities and qualificationsEntry to mid-level data science roles in finance

The main difference between a Senior Data Scientist Finance and a Data Scientist Finance lies in experience, responsibilities, and qualifications. Senior Data Scientists typically lead projects, mentor junior staff, and possess advanced credentials, whereas Data Scientists focus on analysis and model building. Both roles are vital in financial institutions but differ in scope and seniority.

Can a senior data scientist work in finance?

Yes, a senior data scientist can work in finance, where they analyze financial data, develop predictive models, and support decision-making processes. Skills in statistical analysis, machine learning, and tools like Python or R are highly valuable in this industry.
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Senior Data Scientist Finance jobs near you
Infographic showing various Senior Data Scientist Finance job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Senior Data Scientist, Finance Analytics

United States Steel Corporation

Pittsburgh, PA • On-site

Full-time

Posted 9 days ago

United States Steel rating

7.6

Company rating: 7.6 out of 10

Based on 84 frontline employees who took The Breakroom Quiz

235th of 544 rated manufacturers

Job description


We are seeking a Senior Data Scientist, Finance Analytics to join the Finance Transformation team within Corporate FP&A. It is a hybrid position in Pittsburgh, PA. This role will design, build, and scale AI-enabled analytics solutions that modernize financial planning, forecasting, reporting, and decision support across USS. The ideal candidate brings a strong combination of finance acumen, advanced analytics, machine learning, automation, and applied generative AI experience. This is a high-impact opportunity to work at the intersection of Finance, data engineering, and AI to improve forecast accuracy, reduce manual effort, strengthen financial insights, and enable faster, more confident decision-making for senior leadership.
Responsibilities:
  • Design, develop, and maintain AI-enabled financial dashboards, analytics applications, and executive reporting tools using Databricks and related analytics platforms.
  • Build scalable ETL and ELT data pipelines that integrate financial, operational, and enterprise data into the Enterprise Data Platform.
  • Develop and validate machine learning models for financial forecasting, scenario analysis, variance analysis, anomaly detection, and business trend identification.
  • Apply generative AI and large language model capabilities to streamline financial reporting, management commentary, knowledge retrieval, and self-service financial analysis.
  • Automate recurring FP&A, monthly close, and management reporting processes to reduce manual effort and improve accuracy.
  • Partner with Corporate FP&A, segment finance teams, data engineering, and business stakeholders to translate financial questions into scalable analytics and AI solutions.
  • Prepare executive-ready analyses, insights, and narratives that support forecasting, financial steering, monthly close activities, and strategic decision-making.
  • Own end-to-end delivery of analytics initiatives, including requirements gathering, solution design, model development, testing, deployment, adoption, and ongoing performance monitoring.
  • Ensure AI and financial modeling outputs are explainable, auditable, traceable to source data, and aligned with finance governance standards.
  • Document model assumptions, data definitions, controls, business rules, and process requirements as analytics capabilities scale.
  • Mentor junior team members on data science, financial analytics, responsible AI, and engineering best practices.

Qualifications:
  • Bachelor's degree in Computer Science, Data Science, Engineering, Finance, Economics, Statistics, Mathematics, or a related field; Master's degree preferred.
  • 3-5 years of experience in data science, financial analytics, FP&A analytics, or a related quantitative role.
  • Advanced proficiency in Python and SQL, including experience writing production-grade, testable code and building complex financial data pipelines.
  • Hands-on experience developing, validating, and monitoring machine learning models, with emphasis on forecasting, regression, classification, anomaly detection, or optimization use cases.
  • Experience building and validating time-series forecasting models, including back testing, feature selection, model interpretability, and overfit prevention.
  • Familiarity with AI and machine learning libraries and frameworks such as Scikit-learn, PyTorch, TensorFlow, MLflow, LangChain, or similar tools.
  • Experience applying generative AI or LLM-based solutions to business workflows, financial reporting, knowledge retrieval, commentary generation, or analytics automation preferred.
  • Hands-on experience with a modern cloud-based analytics platform such as Databricks or Snowflake and a major cloud provider such as Azure, AWS, or GCP.
  • Experience with Power BI, Tableau, or other BI tools, including financial dashboard development and KPI visualization, preferred.
  • Exposure to financial systems such as OneStream, Oracle GL/EPM, SAP, ERP, EPM, or similar platforms preferred.
  • Strong understanding of financial planning, forecasting, budgeting, variance analysis, cost drivers, profitability analysis, or management reporting preferred.
  • Familiarity with LLM-powered code assistants, such as Codex, GitHub Copilot, Claude Code, or similar tools.
  • Ability to explain complex models and analytical outputs to Finance leaders and non-technical stakeholders in a clear, practical, and business-relevant manner.
  • Manufacturing, industrial, or capital-intensive industry experience a plus.

Company Overview
Since 1901, U. S. Steel has been a recognized leader in steel production. Today, as the first North American steel company to have declared a 2050 net-zero greenhouse gas emissions goal, we remain as innovative as ever, leading transformation across our industry while continuing to make products for everyday life - from industries as far ranging as automotive, construction, containers and packaging, appliances, and energy.
Underneath it all is our Culture of Caring, which shows up in our community partnerships, charitable contributions, company-sponsored employee volunteer initiatives, scholarship programs, leadership training, and much more. And of course, it takes shape in a steadfast commitment to safety first in our workplaces and respect for our employees, who are United by Steel.
We are honored to have earned accolades and awards from well-regarded organizations, including the following:
  • Ethisphere's World's Most Ethical Companies® 2022, '23, '24
  • Disability: IN's Best Places to Work for Disability Inclusion 2021, '22, '23, '24
  • Human Rights Campaign Foundation's Equality 100 Award 2020, '21, '22, '23-24, '25
  • Military Times' Best for Vets: Employers 2023, '24

Conducting business with integrity and with the highest ethical values has underpinned U. S. Steel's success for over 100 years, and it remains critical to our company's success in the future. U. S. Steel is an Equal Opportunity Employer. It is our policy to provide equal employment opportunity (EEO) according to job qualifications without discrimination on the basis of race, color, religion, ancestry, national origin, age, genetics, sexual orientation, sex, gender identity, disability status or status as a protected Veteran or any other legally protected group status. (California residents may visit www.ussteel.com/CANotice regarding collection of personal information and U. S. Steel's privacy practices.)
Competency Summary
At U. S. Steel all employees are expected to display the following core competencies every day to advance corporate, team and individual goals:
Think: Think Critically and Drive Change
Lead: Develop Talent and Collaborate
Do: Empower Performance and Deliver Results

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