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Senior Data Scientist Finance Jobs (NOW HIRING)

Senior Data ScientistIntroduction We are looking for a Senior Data Scientist with a strong traditional ML/DS background and hands-on experience in GenAI (LLMs, RAGs, Agentic workflows). The candidate ...

What Impact You'll Have We are seeking a Senior Data Scientist to support mission-driven analytic ... financial wellness, retirement planning, family assistance, continued education, and paid time off.

What Impact You'll Have We are seeking a Senior Data Scientist to support mission-driven analytic ... financial wellness, retirement planning, family assistance, continued education, and paid time off.

Senior Data Scientist

Boston, MA ยท On-site

$130 - $175/hr

Overview We are searching for a strategic and inquisitive senior data scientist to develop and run data-centered projects. In keeping with this overarching aim, the senior data scientist will be ...

What Impact You'll Have We are seeking a Senior Data Scientist to support mission-driven analytic ... financial wellness, retirement planning, family assistance, continued education, and paid time off.

... Senior Data Scientist to Join our Team in Washington, DC . At ICI Services, our employee-owners ... Our diverse team of acquisition experts, financial analysts, engineers, logisticians, IT ...

What Impact You'll Have We are seeking a Senior Data Scientist to support mission-driven analytic ... financial wellness, retirement planning, family assistance, continued education, and paid time off.

What Impact You'll Have We are seeking a Senior Data Scientist to support mission-driven analytic ... financial wellness, retirement planning, family assistance, continued education, and paid time off.

What Impact You'll Have We are seeking a Senior Data Scientist to support mission-driven analytic ... financial wellness, retirement planning, family assistance, continued education, and paid time off.

Senior Data Scientist

New York, NY ยท 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 ...

Additional Responsibilities (Senior Data Scientist) Serve as analytics lead for the pod. Own analytical quality across engagements. Act as peer reviewer and mentor internal and client analysts. Drive ...

Title and Summary Senior Data Scientist Who is Mastercard? As a global technology company our ... Experience of working in financial services with respect to consumer and/or business lending.

Senior Data Scientist

New York, NY ยท On-site

$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 ...

Our diverse team of acquisition experts, financial analysts, engineers, logisticians, IT ... Senior Data Scientist must have knowledge of and access to program datasets and broader information ...

NOVACES is seeking a Senior Data Scientist for a U.S. Coast Guard Surface Forces Logistics Center Business Operations Division support opportunity in Baltimore, MD. The Senior Data Scientist will ...

NOVACES is seeking a Senior Data Scientist for a U.S. Coast Guard Surface Forces Logistics Center Business Operations Division support opportunity in Baltimore, MD. The Senior Data Scientist will ...

Senior Data Scientist - GenAI / RAG Location: Houston, TX (Onsite - 5 Days) Type: Full-Time We are looking for a Senior Data Scientist with a strong traditional ML/DS background and hands-on ...

NOVACES is seeking a Senior Data Scientist for a U.S. Coast Guard Surface Forces Logistics Center Business Operations Division support opportunity in Baltimore, MD. The Senior Data Scientist will ...

Showing results 41-60

Senior Data Scientist Finance information

See salary details

$41.5K

$142.5K

$201K

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

As of Aug 31, 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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Cities with the most Senior Data Scientist Finance job openings:

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The most popular types of Data Scientist Finance jobs are:

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The top searched job categories for Senior Data Scientist Finance jobs are:

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

Medinext Global LLC

Houston, TX โ€ข On-site

Other

Posted 4 days ago


Job description

Senior Data ScientistIntroduction

We are looking for a Senior Data Scientist with a strong traditional ML/DS background and hands-on experience in GenAI (LLMs, RAGs, Agentic workflows). The candidate should not be purely academic or junior; we need someone with practical implementation experience and the ability to interact confidently with customers. Strong communication and product-facing exposure are equally important. Tavant Technologies is seeking a Senior Data Scientist for our Enterprise Products team. In this role, you will leverage advanced analytical techniques and machine learning methods to derive actionable insights from complex datasets.

Responsibilities
  • Develop and implement machine learning algorithms to solve complex business problems.
  • Analyze large datasets to generate insights and inform decision-making processes.
  • Collaborate with product managers and engineers to integrate data science solutions into enterprise products.
  • Communicate findings and recommendations effectively to technical and non-technical stakeholders.
  • Stay current with the latest advancements in data science and machine learning technologies.
RequirementsRequired Skills
  • Python Machine Learning
  • Data Science Statistical Modeling
  • GenAI / Generative AI
  • LLMs
  • RAG
  • Agentic AI / AI Agents
  • LangChain / LangGraph
  • AWS Bedrock
  • Vector Databases
  • SQL
  • Machine Learning Model Deployment / Production AI
  • Strong Communication / Client-Facing
Preferred Skills
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
  • Proficiency in data visualization tools (e.g., Tableau, Power BI)
  • Familiarity with big data technologies (e.g., Hadoop, Spark)
  • Understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud)
Must-Haves
  • 5 to 7 years of Relevant experience is needed
  • Hands-on Agentic AI production experience
  • RAG implementation depth
  • AWS Bedrock experience
  • Strong traditional ML/DS background
  • 12+ months continuous, recent hands-on GenAI/LLM work
  • Production deployment experience
  • Client-facing/consulting communication skills
  • Willing to attend an in-person interview at Tavant''''s Santa Clara, CA office
Nice to Haves
  • Someone from the energy domain is highly preferred
  • Databricks, Snowflake, specific frameworks like XGBoost/CatBoost, LLMOps/eval tooling