... Bank of America, Best Buy, Kellogg Company, McDonald's, Novartis, Samsung, Visa and more. Overview ... They will work under the guidance of senior data science leaders to deliver impactful, data-driven ...
... Bank of America, Best Buy, Kellogg Company, McDonald's, Novartis, Samsung, Visa and more. Overview ... They will work under the guidance of senior data science leaders to deliver impactful, data-driven ...
As a Data Scientist within PNC's Corporate and Institutional Banking (C&IB) organization, you will be based in Pittsburgh or Philadelphia, PA, Cleveland, OH, Birmingham, AL, Wilmington, DE, Charlotte ...
As a Data Scientist within PNC's Corporate and Institutional Banking (C&IB) organization, you will be based in Pittsburgh or Philadelphia, PA, Cleveland, OH, Birmingham, AL, Wilmington, DE, Charlotte ...
As a Data Scientist within PNC's Corporate and Institutional Banking (C&IB) organization, you will be based in Pittsburgh or Philadelphia, PA, Cleveland, OH, Birmingham, AL, Wilmington, DE, Charlotte ...
As a Data Scientist within PNC's Corporate and Institutional Banking (C&IB) organization, you will be based in Pittsburgh or Philadelphia, PA, Cleveland, OH, Birmingham, AL, Wilmington, DE, Charlotte ...
As a Data Scientist within PNC's Corporate and Institutional Banking (C&IB) organization, you will be based in Pittsburgh or Philadelphia, PA, Cleveland, OH, Birmingham, AL, Wilmington, DE, Charlotte ...
As a Data Scientist within PNC's Corporate and Institutional Banking (C&IB) organization, you will be based in Pittsburgh or Philadelphia, PA, Cleveland, OH, Birmingham, AL, Wilmington, DE, Charlotte ...
As a Data Scientist within PNC's Corporate and Institutional Banking (C&IB) organization, you will be based in Pittsburgh or Philadelphia, PA, Cleveland, OH, Birmingham, AL, Wilmington, DE, Charlotte ...
As a Data Scientist within PNC's Corporate and Institutional Banking (C&IB) organization, you will be based in Pittsburgh or Philadelphia, PA, Cleveland, OH, Birmingham, AL, Wilmington, DE, Charlotte ...
As a Data Scientist within PNC's Corporate and Institutional Banking (C&IB) organization, you will be based in Pittsburgh or Philadelphia, PA, Cleveland, OH, Birmingham, AL, Wilmington, DE, Charlotte ...
As a Data Scientist within PNC's Corporate and Institutional Banking (C&IB) organization, you will be based in Pittsburgh or Philadelphia, PA, Cleveland, OH, Birmingham, AL, Wilmington, DE, Charlotte ...
Financial Data Scientist
Atlanta, GA · On-site
Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make ... The Financial Data Scientist provides advanced financial and analytical support through ...
Financial Data Scientist
Atlanta, GA · On-site
Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make ... The Financial Data Scientist provides advanced financial and analytical support through ...
As a Data Scientist within PNC's Corporate and Institutional Banking (C&IB) organization, you will be based in Pittsburgh or Philadelphia, PA, Cleveland, OH, Birmingham, AL, Wilmington, DE, Charlotte ...
As a Data Scientist within PNC's Corporate and Institutional Banking (C&IB) organization, you will be based in Pittsburgh or Philadelphia, PA, Cleveland, OH, Birmingham, AL, Wilmington, DE, Charlotte ...
As a Data Scientist within PNC's Corporate and Institutional Banking (C&IB) organization, you will be based in Pittsburgh or Philadelphia, PA, Cleveland, OH, Birmingham, AL, Wilmington, DE, Charlotte ...
As a Data Scientist within PNC's Corporate and Institutional Banking (C&IB) organization, you will be based in Pittsburgh or Philadelphia, PA, Cleveland, OH, Birmingham, AL, Wilmington, DE, Charlotte ...
AI ML Data Scientist
Cary, NC · On-site
The role involves implementing machine learning techniques and predictive modeling to solve various business problems in Banking and Financial Services. Responsibilities : • Data Scientist with 5 ...
AI ML Data Scientist
Cary, NC · On-site
The role involves implementing machine learning techniques and predictive modeling to solve various business problems in Banking and Financial Services. Responsibilities : • Data Scientist with 5 ...
Data Scientist
Ponca City, OK · On-site
As a Data Scientist within PNC's Data and Automation organization, you will be based in Pittsburgh, PA, Strongsville, OH, Dallas, TX, Birmingham, AL, Lakewood, CO or Phoenix, AZ. A Data Scientist ...
Data Scientist
Ponca City, OK · On-site
As a Data Scientist within PNC's Data and Automation organization, you will be based in Pittsburgh, PA, Strongsville, OH, Dallas, TX, Birmingham, AL, Lakewood, CO or Phoenix, AZ. A Data Scientist ...
As a Data Scientist within PNC's Data and Automation organization, you will be based in Pittsburgh, PA, Strongsville, OH, Dallas, TX, Birmingham, AL, Lakewood, CO or Phoenix, AZ. A Data Scientist ...
As a Data Scientist within PNC's Data and Automation organization, you will be based in Pittsburgh, PA, Strongsville, OH, Dallas, TX, Birmingham, AL, Lakewood, CO or Phoenix, AZ. A Data Scientist ...
As a Data Scientist within PNC's Data and Automation organization, you will be based in Pittsburgh, PA, Strongsville, OH, Dallas, TX, Birmingham, AL, Lakewood, CO or Phoenix, AZ. A Data Scientist ...
As a Data Scientist within PNC's Data and Automation organization, you will be based in Pittsburgh, PA, Strongsville, OH, Dallas, TX, Birmingham, AL, Lakewood, CO or Phoenix, AZ. A Data Scientist ...
As a Data Scientist within PNC's Data and Automation organization, you will be based in Pittsburgh, PA, Strongsville, OH, Dallas, TX, Birmingham, AL, Lakewood, CO or Phoenix, AZ. A Data Scientist ...
As a Data Scientist within PNC's Data and Automation organization, you will be based in Pittsburgh, PA, Strongsville, OH, Dallas, TX, Birmingham, AL, Lakewood, CO or Phoenix, AZ. A Data Scientist ...
As a Data Scientist within PNC's Data and Automation organization, you will be based in Pittsburgh, PA, Strongsville, OH, Dallas, TX, Birmingham, AL, Lakewood, CO or Phoenix, AZ. A Data Scientist ...
As a Data Scientist within PNC's Data and Automation organization, you will be based in Pittsburgh, PA, Strongsville, OH, Dallas, TX, Birmingham, AL, Lakewood, CO or Phoenix, AZ. A Data Scientist ...
AI ML Data Scientist
Cary, NC · On-site
$100K - $120K/yr
AI ML Data Scientist Must Have Technical/Functional Skills -Machine Learning techniques • ... Banking and Financial Services. • -Expertise in Predictive Modeling and Big Data Analytics ...
AI ML Data Scientist
Cary, NC · On-site
$100K - $120K/yr
AI ML Data Scientist Must Have Technical/Functional Skills -Machine Learning techniques • ... Banking and Financial Services. • -Expertise in Predictive Modeling and Big Data Analytics ...
As a Data Scientist within PNC's Data and Automation organization, you will be based in Pittsburgh, PA, Strongsville, OH, Dallas, TX, Birmingham, AL, Lakewood, CO or Phoenix, AZ. A Data Scientist ...
As a Data Scientist within PNC's Data and Automation organization, you will be based in Pittsburgh, PA, Strongsville, OH, Dallas, TX, Birmingham, AL, Lakewood, CO or Phoenix, AZ. A Data Scientist ...
Staff Data Scientist Location: Worldwide (Remote/Hybrid) Reports to: TBD About CINC Systems CINC ... Founded in 2005 by a banker as the industry's first SaaS offering, CINC Systems now employs nearly ...
Staff Data Scientist Location: Worldwide (Remote/Hybrid) Reports to: TBD About CINC Systems CINC ... Founded in 2005 by a banker as the industry's first SaaS offering, CINC Systems now employs nearly ...
Staff Data Scientist Location: Worldwide (Remote/Hybrid) Reports to: TBD About CINC Systems CINC ... Founded in 2005 by a banker as the industry's first SaaS offering, CINC Systems now employs nearly ...
Staff Data Scientist Location: Worldwide (Remote/Hybrid) Reports to: TBD About CINC Systems CINC ... Founded in 2005 by a banker as the industry's first SaaS offering, CINC Systems now employs nearly ...
As a Consumer Bank Marketing Analytics Data Scientist at JPMorganChase within Consumer & Community Banking Data & Analytics, you will evaluate customer acquisition quality for deposit marketing ...
New
As a Consumer Bank Marketing Analytics Data Scientist at JPMorganChase within Consumer & Community Banking Data & Analytics, you will evaluate customer acquisition quality for deposit marketing ...
New
Bank Data Scientist information
See salary details
$37.5K - $52K
2% of jobs
$52K - $66.4K
3% of jobs
$66.4K - $80.9K
6% of jobs
$80.9K - $95.3K
9% of jobs
$100K is the 25th percentile. Wages below this are outliers.
$95.3K - $109.8K
15% of jobs
The median wage is $119.4K / yr.
$109.8K - $124.2K
22% of jobs
$132.2K is the 75th percentile. Wages above this are outliers.
$124.2K - $138.7K
32% of jobs
$138.7K - $153.1K
3% of jobs
$153.1K - $167.6K
4% of jobs
$167.6K - $182K
1% of jobs
$182K - $196.5K
2% of jobs
$37.5K
$122.7K
$196.5K
How much do bank data scientist jobs pay per year?
What are some common projects or challenges a Bank Data Scientist might work on?
Bank Data Scientists often work on projects involving credit risk modeling, fraud detection, customer segmentation, and predictive analytics for loan approvals or marketing campaigns. A common challenge is ensuring data quality and regulatory compliance while handling large, sensitive financial datasets. Collaboration with business analysts, IT teams, and compliance officers is frequent, and the role requires translating complex analytics into solutions that directly impact banking operations and customer experience. Overcoming these challenges is key to optimizing business outcomes and maintaining competitive advantage in the banking sector.
What is a Bank Data Scientist job?
A Bank Data Scientist analyzes financial data to identify trends, detect fraud, assess risks, and improve banking operations. They use machine learning, statistical models, and big data techniques to provide insights that help in decision-making. Their work supports areas such as customer analytics, credit scoring, and regulatory compliance. Strong programming skills in Python, R, or SQL and knowledge of finance and risk management are essential for success in this role.
What are the key skills and qualifications needed to thrive in the Bank Data Scientist position, and why are they important?
To thrive as a Bank Data Scientist, you need a strong background in statistics, machine learning, and data analysis, typically supported by a degree in a quantitative field such as mathematics, economics, or computer science. Familiarity with tools like Python, R, SQL, and big data platforms, as well as certifications such as SAS or Data Science credentials, is often required. Strong communication, problem-solving, and collaboration skills are crucial for translating complex data insights into actionable strategies for cross-functional teams. These capabilities enable you to drive data-driven decision-making, ensure regulatory compliance, and support business growth in the banking industry.

Other
Medical, Dental, Vision, Retirement, PTO
Posted 10 days ago
Job description
With a history that dates back over 80 years, Starcom is a global communications planning and media leader. We are an agency still grounded in our founding principle that people are at center of all we do. Each day, we apply this belief to harness the transformative power of data and technology to inspire and move people and business forward. With more than 7,000 employees in over 100 offices around the world, Starcom partners with the world's leading marketers and brands, including Bank of America, Best Buy, Kellogg Company, McDonald's, Novartis, Samsung, Visa and more.
OverviewThe Data Scientist at Starcom will play a hands-on role in creating, testing and scaling analytics solutions within the Databricks environment. Sitting within our Analytics + Technology (A+T) team, this role partners closely with internal Strategists and Consumer Insights teams to transform client growth opportunities into actionable data science outputs. They will work under the guidance of senior data science leaders to deliver impactful, data-driven solutions for both internal teams and external clients.
We are looking for someone with 1-2 years of applied data science experience who is eager to lean in, experiment with new approaches, and help shape how advanced analytics drives audience development, campaign activation, and media performance. This is an opportunity to grow technical expertise while taking ownership of meaningful projects that directly impact clients and internal teams.
The ideal candidate is curious, entrepreneurial, and detail-oriented-with the technical skills to build and validate solutions, and the communication ability to make those solutions clear and impactful to non-technical stakeholders.
Responsibilities- Design and develop analytics applications and solutions using Python, SQL, and PySpark in Databricks.
- Build, refine and prototype new approaches to campaign-specific audience development in partnership with Strategists and Consumer Insights teams.
- Perform quality assurance checks to validate audience definitions, confirm audience sizes, and ensure delivery readiness.
- Push approved audiences from Databricks into downstream environments, enabling non-technical teams to activate audiences seamlessly.
- Collaborate with media, marketing, and strategy teams to rethink growth opportunities and translate them into scalable, data-driven solutions.
- Explore and apply statistical and machine learning methods under the guidance of senior data scientists (e.g., regression, classification, clustering, forecasting).
- Identify opportunities to automate processes and improve workflows across analytics and audience development.
- Document audience logic, data sources, and methodologies to ensure clarity, repeatability and scalability.
- Pilot and test emerging techniques, sharing learnings and recommendations with the broader analytics team.
- Support integration of data science outputs into dashboards, pipelines, and reporting platforms.
- Communicate findings and insights clearly, bridging the gap between technical and non-technical partners.
- Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Economics) or equivalent experience.
- 1-2 years of applied experience in data science, analytics, or a related field.
- Proficiency in Python (Pandas, NumPy, SciPy, Scikit-learn, Matplotlib/Plotly) and SQL; exposure to PySpark and distributed data processing a plus.
- Familiarity with Databricks or other cloud-based analytics platforms preferred.
- Basic understanding of statistical modeling and machine learning techniques (regression, classification, clustering, forecasting).
- Strong attention to detail and ability to perform data QA.
- Ability to work in collaboration with technical and non-technical team members.
- Interest in media, advertising, or marketing analytics is a plus.
- Familiarity with data visualization tools (e.g., Tableau, PowerBI) is helpful.
Starcom is an Equal Opportunity Employer. Our employment decisions are made without regard to actual or perceived race, color, ethnicity, religion, creed, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, childbirth and related medical conditions, national origin, ancestry, citizenship status, age, disability, medical condition as defined by applicable state law, genetic information, marital status, military service and veteran status, or any other characteristic protected by applicable federal, state or local laws and ordinances.
The Power of One starts with our people! To do powerful things, we offer powerful resources. Our best-in-class wellness and benefits offerings include:
- Paid Family Care for parents and caregivers for 12 weeks or more
- Monetary assistance and support for Adoption, Surrogacy and Fertility
- Monetary assistance and support for pet adoption
- Employee Assistance Programs and Health/Wellness/Comfort reimbursements to help you invest in your future and work/life balance
- Tuition Assistance
- Paid time off that includes Flexible Time off Vacation, Annual Sick Days, Volunteer Days, Holiday and Identity days, and more
- Matching Gifts programs
- Flexible working arrangements
- 'Work Your World' Program encouraging employees to work from anywhere Publicis Groupe has an office for up to 6 weeks a year (based upon eligibility)
- Business Resource Groups that support multiple affinities and alliances
The benefits offerings listed are available to U.S. based employees, are reviewed on an annual basis, and are governed by the terms of the applicable plan documents.
Compensation Range: $110,580 - $158,865 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 10/15/2025.
If you require accommodation or assistance with the application or onboarding process specifically, please contact USMSTACompliance@publicis.com. All your information will be kept confidential according to EEO guidelines.
#LI-JM2
Compensation Range: USD $110,580.00 - USD $158,865.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 9/30/2025.Employment Type: OTHER