Data Scientist II

Truist Bank; Atlanta (GA); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Medical, dental, vision, life

401k plan

Vacation and sick days

Holidays

Job summary

Truist Bank is seeking a Data Scientist II to lead advanced analytics, ML, and AI initiatives that support audit delivery and daily operations.

You will build scalable data capabilities and partner with audit and technology teams to create data products, dashboards, and automated reporting that improve risk management and decision making.

Qualifications

• Bachelor’s degree in a quantitative field; four or more years of related experience.
• Strong knowledge of statistical methods and econometrics.
• Experience with data cleansing and preparation (regex, filtering, interpolation).
• Experience with SQL and data extraction across environments.
• Familiarity with big data tools: Hadoop, Spark, NoSQL; proficiency in at least one programming language (Python, SAS, SQL, R).
• Ability to manage multiple projects and communicate insights to stakeholders.

Responsibilities

• Perform sophisticated data analytics, including predictive analytics and ML modeling.
• Develop scalable data, analytics, visualization, automation, and AI capabilities for self-service insights.
• Translate requirements into data products, dashboards, and automated reporting.

Skills

Advanced analytics

Machine learning

Data visualization

Communication

Cross-functional collaboration

Education

Bachelor’s degree in a quantitative field

Tools

Python

SQL

SAS

R

Hadoop

Spark

Tableau

Power BI

Power Automate

Alteryx

UI Path

Job description

The Data Scientist II position at Truist Bank focuses on advanced data analytics and machine learning to produce actionable insights that support audit delivery and day-to-day operations. The role involves building scalable data and AI capabilities, developing predictive analytics solutions, and collaborating with audit and technology teams.

Key Responsibilities

• Perform sophisticated data analytics, including statistical and predictive analytics, machine learning modeling, and related methods to generate actionable insights that improve business outcomes.
• Develop scalable data, analytics, visualization, automation, and AI capabilities to enable self-service insights and enhance audit delivery and operations.
• Translate business and data requirements into trusted data products, dashboards, automated reporting, advanced analytics, machine learning, and AI-enabled solutions that identify risk, improve efficiency, and support better decision-making.
• Partner with audit leaders and technology teams to define sustainable standards and solutions for data quality, accessibility, governance, and reuse, while providing analytical leadership, consultation, and mentorship to expand data literacy and adoption across Truist Audit Services.
• Independently conduct advanced analytics across classical econometrics through machine learning, neural networks, and natural language processing using structured and unstructured data.
• Create data visualizations that communicate insights and influence outcomes among diverse stakeholder groups.
• Own end-to-end data science solution design and technical delivery, ensuring measurable business results.
• Participate in stakeholder meetings to identify business objectives and define solution scope requirements.
• Independently write, document, and deploy custom code in multiple environments, including Python, SAS, SQL, and R, to build predictive analytics applications.
• Use, maintain, share, and collaborate through Truist internal code repositories to support continuous learning and knowledge exchange.
• Research and advocate for emerging data science methods and technologies to advance Truist’s capabilities.
• Apply sound judgment and support a risk management culture across design, development, and deployment practices, coordinating rules related to data usage, governance, and analytics capabilities with cross-functional partners.

Required Qualifications

• Bachelor’s degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training.
• Understanding of statistical methods, including classical statistics, probability theory, econometrics, time-series, and primary statistical tests.
• Knowledge of linear algebra concepts for optimization and matrix operations, including eigenvalue decompositions and principal components, with working knowledge of calculus and differential equations and an understanding of stochastic processes.
• Familiarity with data cleansing and preparation techniques including regex, filtering, indexing, interpolation, and outlier treatment.
• Strong familiarity with data extraction in multiple environments (including SQL and JQuery).
• Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark.
• Ability to manage multiple projects with tight deadlines in a collaborative environment.

Technology Stack

• Python, SAS, SQL, R
• Hadoop, Pig, Hive, NoSQL, Spark
• JQuery
• Machine learning, neural networks, natural language processing
• Regex
• Tableau, Domo, Qlik
• Power BI
• Microsoft Power Platform, Power Automate, Copilot, Fabric
• UI Path, Alteryx
• Semantic models, knowledge graphs

Benefits

• Medical, dental, vision, life insurance, disability, and accidental death and dismemberment coverage.
• Tax-preferred savings accounts.
• A 401k plan.
• No less than 10 days of vacation during the first year of employment (prorated based on hire date and full-time or part-time status).
• 10 sick days (also prorated).
• Paid holidays.
• Depending on position and division, eligibility for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan.

Additional Information

• Location: Atlanta, GA (onsite)
• Language: English (Required)
• Work shift: 1st shift (United States of America)
• Office expectation: 5 days/week in office
• Travel: Minimal and up to 10%
• Visa sponsorship: Truist will not sponsor an applicant for work visa status or employment authorization and will not provide immigration-related support for this position.
• Work schedule conditions: Availability to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need.
• Working conditions: Sitting constantly (more than 50% of the time); able to access and interpret client information from a computer, and able to hear and speak with individuals in person and on the phone; able to work standard office equipment including PC keyboard and mouse, copy/fax machines, and printers.
• Preferred qualifications: Master’s degree or PhD in a quantitative field; four years of relevant work experience if candidate lacks graduate degree; previous experience in the banking or fin-tech industry with specific experience in Internal Audit Services; experience with Microsoft Power Platform including Power BI, Power Automate, Copilot, and Fabric; experience with data visualization tools such as Tableau, Domo, Qlik, and/or Power BI; experience building semantic models and knowledge graphs to enable AI and Agents on structured and unstructured data; experience with automation tools such as Power Automate, Alteryx, and UI Path; familiarity with process understanding and optimization.