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Senior Bank Data Scientist Jobs in Springfield, MA

The Senior Data Scientist leads the integration and application of advanced data analytics to solve complex business challenges and enhance mission security. The contractor will serve as a subject ...

The Senior Data Scientist leads the integration and application of advanced data analytics to solve complex business challenges and enhance mission security. The contractor will serve as a subject ...

The Senior GEOINT Data Scientist will leverage their strong technical background and knowledge to support critical data environments, to include creating streamlined processes, evaluating unique ...

MANTECH seeks a motivated, career and customer-oriented Senior Data Scientist to join our team in Springfield, VA . This is a full-time onsite position. Responsibilities include but are not limited ...

Act as a mentor to more junior data scientists and is empowered to assign them specific project tasks with clear scope. Work on a portfolio of projects simultaneously and are expected to adequately ...

Act as a mentor to more junior data scientists and is empowered to assign them specific project tasks with clear scope. Work on a portfolio of projects simultaneously and are expected to adequately ...

Act as a mentor to more junior data scientists and is empowered to assign them specific project tasks with clear scope. Work on a portfolio of projects simultaneously and are expected to adequately ...

In this position, you will work under the guidance of more senior data science staff on modeling projects but is expected to ensure the appropriate modeling and analytic methodologies are applied ...

In this position, you will work under the guidance of more senior data science staff on modeling projects but is expected to ensure the appropriate modeling and analytic methodologies are applied ...

In this position, you will work under the guidance of more senior data science staff on modeling projects but is expected to ensure the appropriate modeling and analytic methodologies are applied ...

Data Scientist

Windsor, CT · On-site

$117K - $146K/yr

Experience working with big data, geospatial analytics, and/or probabilistic forecasting ... The pay range for the Senior to Lead level is $117,000 - $146,000 annually. This role is also ...

Present findings to senior leaders to influence strategy and decision-making. * Provide thought leadership and mentor others on data science best practices and emerging technologies. Required ...

... partners and senior leadership. * Manages project scope, expectations, and timelines ... Kemper will never request personal information, such as your social security number or banking ...

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Senior Bank Data Scientist information

See Springfield, MA salary details

$41.4K

$142K

$200.3K

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

As of Aug 6, 2026, the average yearly pay for senior bank data scientist in Springfield, MA is $141,962.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,100.00 and $165,900.00 per year, depending on experience, location, and employer.

How does a senior bank data scientist typically collaborate with other departments to drive business value?

As a Senior Bank Data Scientist, you will frequently collaborate with cross-functional teams including IT, risk management, marketing, and product development. Your role involves translating complex data insights into actionable strategies, often presenting findings to stakeholders with varying technical backgrounds. Regular communication and teamwork are essential, as you'll work closely with business leaders to identify key opportunities, ensure data solutions align with organizational goals, and support regulatory compliance. This collaborative environment fosters innovation and allows you to see the direct impact of your work on the bank's performance.

What is the difference between Senior Bank Data Scientist vs Bank Data Analyst?

AspectSenior Bank Data ScientistBank Data Analyst
Required CredentialsAdvanced degree in Data Science, Statistics, or related field; experience with machine learningBachelor's or Master's in Finance, Economics, or related field; basic data analysis skills
Work EnvironmentDevelops predictive models, advanced analytics, and machine learning solutions in bankingPerforms data reporting, trend analysis, and basic data interpretation in banking
Employer & Industry UsageFinancial institutions, banks, fintech companiesBanking institutions, retail banks, credit unions

The Senior Bank Data Scientist focuses on advanced analytics, machine learning, and predictive modeling to drive strategic decisions, while the Bank Data Analyst handles routine data reporting and basic analysis. Both roles are essential in banking but differ in complexity and technical expertise.

What does a senior bank data scientist do?

A Senior Bank Data Scientist leverages advanced analytical, statistical, and machine learning techniques to analyze large volumes of financial data. They identify trends, detect fraudulent activity, optimize business operations, and support decision-making across various banking functions. Their work often involves collaborating with IT, risk, and business teams to develop predictive models, automate processes, and drive data-driven strategies that enhance profitability and customer experience.

What are the key skills and qualifications needed to thrive as a senior bank data scientist, and why are they important?

To thrive as a Senior Bank Data Scientist, you need advanced expertise in statistics, machine learning, and data analysis, typically supported by a degree in a quantitative field such as computer science, mathematics, or engineering. Proficiency with programming languages like Python or R, experience with data visualization tools, and familiarity with big data platforms (e.g., Hadoop, Spark) are commonly required, along with certifications in data science or analytics. Strong problem-solving skills, business acumen, and effective communication help you translate complex data insights into actionable strategies for banking stakeholders. These skills are crucial for driving data-driven decision-making, optimizing financial services, and ensuring regulatory compliance in the banking sector.
What are the most commonly searched types of Bank Data Scientist jobs in Springfield, MA? The most popular types of Bank Data Scientist jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Senior Bank Data Scientist jobs? Cities near Springfield, MA with the most Senior Bank Data Scientist job openings:

Senior Data Scientist

MANTECH

Springfield, MA

Full-time

Re-posted 29 days ago


ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

33rd of 242 rated software companies


Job description

hackajob is collaborating with MANTECH to connect them with exceptional professionals for this role.

MANTECH seeks a motivated, career and customer-oriented Senior Data Scientist to join our team in Springfield, VA. This role is 100% on-site.

The Senior Data Scientist leads the integration and application of advanced data analytics to solve complex business challenges and enhance mission security. The contractor will serve as a subject matter expert (SME), responsible for the entire lifecycle of data analysis—from refining business requirements and developing sophisticated analytical models to provide strategic recommendations that improve organizational efficiency and mitigate insider threats. This role demands a blend of deep technical expertise, strong business acumen, and the ability to lead, manage, and support critical operational and policy-related initiatives.
Responsibilities include but are not limited to:

  • Advanced Analytics and Model Development: Architect, develop, and maintain advanced analytic models, visualizations, and tools to deter, detect, and mitigate insider threats.

  • Apply expert knowledge of industry-standard data science principles to identify anomalous events and provide actionable intelligence.

  • Strategic Business Analysis: Proactively collaborate with project requestors, senior stakeholders, and program managers to define, clarify, and refine complex business needs and strategic objectives. Utilize data-driven insights to recommend significant changes and process improvements.

  • Process Improvement and Policy Operations: Lead, manage, and support business operations and policy development lifecycles. Serve as an SME for the development, review, coordination, promulgation, and compliance of enterprise-wide policies, including the maintenance of Self-Inspection Checklists and related documentation.

  • Risk and Performance Analytics: Own the development and maintenance of sophisticated risk-scoring models and other data analytics tools. Drive the implementation and sustainment of data analysis platforms, ensuring system integrity by capturing and analyzing metrics on system errors, failures, and performance.

  • Stakeholder Engagement and Communication: Translate complex quantitative and qualitative analysis into clear, compelling visuals, dashboards, and executive-level reports. Provide authoritative visual, technical, and editorial guidance, and confidently brief senior leadership on analytical findings, forecasts, and strategic recommendations.

  • Data Governance and Integrity: Oversee the capture, maintenance, and accumulation of statistics, ensuring the accuracy of data related to timelines, product transfers between domains, and other key performance indicators.

Minimum Qualifications:

  • 7+ years proven experience in integrating, developing, and maintaining analytic models, visualizations, and tools, preferably in a security or threat-detection context and a

  • Master’s Degree in Data Science, Statistics, Business, or a related field. In lieu of a masters degree, 10+ years of experience. In lieu of a bachelor’s degree, 15+ years of experience

  • Expert-level knowledge of data analytics and data science principles, with a demonstrated ability to apply them to identify anomalous events and create data-driven forecasts.

  • Mastery of data visualization and dashboard development using data sets from various sources.

  • Exceptional ability to transform complex data sets into compelling visuals, reports, and briefings for leadership.

  • Direct experience supporting and maintaining risk-scoring models or similar predictive analytic systems.

  • Proficiency in creating and editing visual content such as charts and graphs to represent data.

  • Demonstrated coding experience to support writing scripts with tools such as but not limited to Java and Python. Demonstrated ability to use Share Point, Tableau, Redmine, and other systems/databases to manipulate and build data visualization.

Preferred Qualifications:

  • Experience in a leadership or mentorship role within a data analytics or business intelligence team.

  • Familiarity with geospatial analysis, web development principles, or specific program leadership reporting structures

Clearance Requirements:

  • Must have a current/active TS/SCI security clearance and be willing and able to obtain a polygraph.

Physical Requirements:

  • The person in this position must be able to remain in a stationary position 50% of the time. Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations.


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