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Senior Data Scientist Finance Jobs (NOW HIRING)

Tecolote Research

Senior Data Scientist

Chantilly, VA · On-site

$130K - $160K/yr

Overview The Senior Data Scientist will support our customers initiatives by developing/maintaining/analyzing data sets in order to create models and determinate potential outcomes. The position is ...

Instacart

Senior Data Scientist

OR · On-site +1

Roles are open at both the L5 (Senior Data Scientist I) and L6 (Senior Data Scientist II) levels. You'll get the chance to learn about the different problems the Data Science team solves as you go ...

RXinsider LTD.

$120 - $180/hr

The Senior Data Scientist will design, deliver, and optimize powerful insights and visuals with advanced analytics and AI, including effective use of AI assistants within development tools to ...

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 ...

Oscar Health

Senior Data Scientist

New York, NY · Hybrid

$163K - $215K/yr

Insurance companies sit on a trove of data that is both broad and deep-spanning financial claims ... As a Senior Data Scientist on this team, you will design, build, and maintain systems that automate ...

Addison Group

Sr. Data Scientist

Chicago, IL · Remote

$85 - $100/hr

Senior Data Scientist Remote/Onsite : Remote Contract Pay: $85/hr - $100/hr The Senior Data ... Build and validate claim severity models that classify claims by likely financial impact and high ...

Surescripts

Senior Data Scientist

Arlington, VA · On-site

The Senior Data Scientist will design, deliver, and optimize powerful insights and visuals with advanced analytics and AI, including effective use of AI assistants within development tools to ...

Hobbsnews

$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 ...

1 point system

Senior Data Scientist

Chicago, IL · Remote

Requirement - Senior Data Scientist Location- Chicago, IL-Remote Contract W2 Updated JD PURPOSE ... Build and validate claim severity models that classify claims by likely financial impact and high ...

City of New York

Senior Data Scientist

Manhattan, NY · On-site

$125K - $150K/yr

... achieve financial health and work-life balance. DCWP also conducts research and advocates for ... The Senior Data Scientist will work closely with DCWP Investigators and Attorneys to develop and ...

City of New York

Senior Data Scientist

Manhattan, NY

... achieve financial health and work-life balance. DCWP also conducts research and advocates for ... The Senior Data Scientist will work closely with DCWP Investigators and Attorneys to develop and ...

1 point system

Senior Data Scientist

Chicago, IL · Remote

Job Title Senior Data Scientist Location Remote Type of Hire 4 months contract They strictly want ... Build and validate claim severity models that classify claims by likely financial impact and high ...

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Senior Data Scientist Finance information

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$41.5K

$142.5K

$201K

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

As of Sep 2, 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 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Senior Data Scientist

Tecolote Research

Chantilly, VA • On-site

$130K - $160K/yr

Full-time

Re-posted 3 days ago

Job description

Overview
The Senior Data Scientist will support our customers initiatives by developing/maintaining/analyzing data sets in order to create models and determinate potential outcomes. The position is immediately available for qualified candidates with the appropriate clearance.
Responsibilities
The Senior Data Science Analyst shall be able to demonstrate experience and expertise in the following:
  • Programming languages such as Python(inclusive of libraries that are used in data science e.g. numpty, pandas, and scipy); R; Julia (dynamic programming language), or other programming languages.
  • The development of frameworks for creating and integrating machine learning models such as TensorFlow, Pytorch, Jupyter Notebook and or Apache Hadoop
  • The development and use of Visualizatin Tools to create interactive scientific graphing capabilities. These capabilities and experience can be a combination of tool familiarity exhibited with competency in Plotly, Tableau, PowerBI, Qlik, and/or Google Charts
  • Understanding of relevant statistical measures, development and evaluation of data sets.
  • Salary Range: $130,000 - $160,000/Year, DOE

Skills Required
The Senior Data Science Analyst shall apply the principles, theories and analytical methods of Data Science Analysis, which encompasses the following:
  • Tool and method development by using high-level modeling, machine learning techniques, and software languages
  • Hypothesis development and validation of budget and schedule sufficiency/achievability and risk parameters
  • Working with data visualization tools and creating data visualization concepts
  • Experience developing queries and reports, parsing and merging data from complex datasets
  • Establishing and integrating large datasets, data entry , data conditioning and cleaning, data mining and end-to-end database management
  • Developing customer-facing reporting tools to provide timely and accurate decision-support and information
  • Understanding of how data science enables cost estimating, IPM and cross program analysis for comprehensive, data driven methods and assessments.

Education
Bachelor's degree required, preferably in math, engineering, business, or the sciences.

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