Regions Bank
Principal Data Scientist [On-Site, Cities Listed In Posting]
Regions Bank, Hoover, Alabama, United States
Principal Data Scientist [On-Site, Cities Listed In Posting]
Join to apply for the
Principal Data Scientist [On-Site, Cities Listed In Posting]
role at
Regions Bank
Thank you for your interest in a career at Regions. At Regions, we believe associates deserve more than just a job. We believe in offering performance-driven individuals a place where they can build a career – a place to expect more opportunities. If you are focused on results, dedicated to quality, strength and integrity, and possess the drive to succeed, then we are your employer of choice.
Regions is dedicated to taking appropriate steps to safeguard and protect private and personally identifiable information you submit. The information that you submit will be collected and reviewed by associates, consultants, and vendors of Regions in order to evaluate your qualifications and experience for job opportunities and will not be used for marketing purposes, sold, or shared outside of Regions unless required by law. Such information will be stored in accordance with regulatory requirements and in conjunction with Regions’ Retention Schedule for a minimum of three years. You may review, modify, or update your information by visiting and logging into the careers section of the system.
Job Description At Regions, the Principal Data Scientist is a visionary and hands‑on practitioner that supports the Data Science team by deepening technical bench strength across Machine Learning (ML), MLOps and GenAI. This position will drive the development of scalable, efficient and reliable data‑science capabilities that elevate the entire team’s productivity and impact. This includes advancing model lifecycle management, establishing best‑in‑class practices, designing ML pipelines, and guiding the adoption of emerging technologies like Large Language Models (LLMs) and Generative‑AI. The candidate should have comprehensive knowledge of end‑to‑end data science modeling lifecycles and a strong track record of successfully delivering complex data science projects.
Primary Responsibilities
Develop and lead execution of the research roadmaps for advanced AI capabilities such as LLM, GenAI, Retrieval‑Augmented Generation (RAG), agents and computer vision.
Stay at the cutting edge of ML/AI literature and practices.
Periodically evaluate the design of existing modeling and MLOps and identify opportunities for improvement.
Serve as a technical subject matter expert (SME) on modeling techniques, feature engineering, pipeline orchestration, performance optimization and testing.
Partner with other data scientists, engineers and product teams to define technical standards, influence solution‑design decisions, and raise the bar on solution quality.
Champion MLOps excellence across the team, including CI/CD for ML, automated testing, monitoring, model versioning and rollback strategies.
Design and promote implementation of reusable codes, tools and frameworks for model development, training, deployment, monitoring and governance.
Drive complex, high‑impact modeling projects from ideation to production, especially where advanced techniques (e.g., NLP, GenAI, LLMs) can drive strong business value.
Leverage statistical analysis, machine learning (ML) and deep learning (DL) techniques to design data products that enhance profitability, mitigate risks and drive customer engagement across all touchpoints.
Leverage cloud‑based analytical platforms to build data analytics solutions.
Extract actionable insights from data to support data‑driven decision‑making processes.
Collaborate with risk management and compliance teams to ensure compliance with internal and external regulatory requirements.
Foster a culture of innovation and continuous improvement within the team.
Requirements
Ph.D. in a quantitative or analytical field (Statistics, Mathematics, Physics, Computer Science, Engineering, or related) and (4) years of relevant experience.
Or Master’s degree in a quantitative or analytical field and six (6) years of relevant experience.
Or Bachelor’s degree in a quantitative or analytical field and eight (8) years of relevant experience.
Eight (8) years of experience in Machine Learning, with experience in GenAI, LLMs and frameworks such as Hugging Face Transformers and LangChain.
Eight (8) years of programming experience in Python, PySpark, SQL and modern ML libraries (Scikit‑learn, TensorFlow, PyTorch).
Six (6) years of hands‑on experience with Big Data tools and platforms such as Hadoop, Spark, Hive, MLFlow or Kafka.
Six (6) years of hands‑on experience with cloud‑based analytics platforms such as AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform, Snowflake or Databricks.
Preferences
Five (5) years of experience in Agile Software Development Lifecycle.
Five (5) years of experience influencing, guiding or providing technical direction to other data scientists or cross‑functional team members; background in banking and/or other financial services.
Experience in RAG and integrating frontier models such as LangChain, LlamaIndex, Anthropic, Bedrock, GPT or Ollama.
Experience with Docker/Kubernetes.
Hands‑on experience with techniques for text parsing, sentiment analysis and use of generative models such as GPT, VAE, and GANs.
Skills And Competencies
Ability to continue research and learn new systems as needed.
Ability to partner with stakeholders to identify business challenges and design solutions.
Ability to research, analyze data, and derive facts.
Ability to work under pressure and meet deadlines.
Deep understanding of statistical and predictive modeling concepts, machine learning approaches, clustering and classification techniques, or recommendation and optimization algorithms.
Experience delivering and scaling models in production.
Experience planning, managing, and delivering data science projects, including risk identification and mitigation.
Strong verbal, written communication, and organizational skills.
Strong work ethic and self‑motivation.
Position Type Full time
Compensation Details Pay ranges are job‑specific and are provided as a point‑of‑market reference for compensation decisions. Other factors include experience, skills, knowledge, contribution, location and performance. The target salary range for this position is $144,158.30 – $191,230.00 with incentive pay plans such as an annual discretionary incentive plan and a long‑term incentive plan.
Benefits Information
Paid Vacation/Sick Time
401(k) with Company Match
Medical, Dental and Vision Benefits
Disability Benefits
Health Savings Account
Flexible Spending Account
Life Insurance
Parental Leave
Employee Assistance Program
Associate Volunteer Program
Location Details This position is intended to be onsite, now or in the near future. Associates will have regular work hours, including full days in the office three or more days a week. The manager will set the work schedule. Relocation assistance is not provided for this position. Locations available: Birmingham, AL; Atlanta, GA; Charlotte, NC.
Regions will not sponsor applicants for work visas for this position at this time. Applicants must be currently authorized to work in the United States on a full‑time basis.
Equal Opportunity Employer/including Disabled/Veterans Regions is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status or other protected status.
Job applications are accepted electronically through Regions’ career site for a minimum of five business days from the posting date. Posted positions may remain active for longer periods and may be closed at any time at the discretion of the company.
#J-18808-Ljbffr
Principal Data Scientist [On-Site, Cities Listed In Posting]
role at
Regions Bank
Thank you for your interest in a career at Regions. At Regions, we believe associates deserve more than just a job. We believe in offering performance-driven individuals a place where they can build a career – a place to expect more opportunities. If you are focused on results, dedicated to quality, strength and integrity, and possess the drive to succeed, then we are your employer of choice.
Regions is dedicated to taking appropriate steps to safeguard and protect private and personally identifiable information you submit. The information that you submit will be collected and reviewed by associates, consultants, and vendors of Regions in order to evaluate your qualifications and experience for job opportunities and will not be used for marketing purposes, sold, or shared outside of Regions unless required by law. Such information will be stored in accordance with regulatory requirements and in conjunction with Regions’ Retention Schedule for a minimum of three years. You may review, modify, or update your information by visiting and logging into the careers section of the system.
Job Description At Regions, the Principal Data Scientist is a visionary and hands‑on practitioner that supports the Data Science team by deepening technical bench strength across Machine Learning (ML), MLOps and GenAI. This position will drive the development of scalable, efficient and reliable data‑science capabilities that elevate the entire team’s productivity and impact. This includes advancing model lifecycle management, establishing best‑in‑class practices, designing ML pipelines, and guiding the adoption of emerging technologies like Large Language Models (LLMs) and Generative‑AI. The candidate should have comprehensive knowledge of end‑to‑end data science modeling lifecycles and a strong track record of successfully delivering complex data science projects.
Primary Responsibilities
Develop and lead execution of the research roadmaps for advanced AI capabilities such as LLM, GenAI, Retrieval‑Augmented Generation (RAG), agents and computer vision.
Stay at the cutting edge of ML/AI literature and practices.
Periodically evaluate the design of existing modeling and MLOps and identify opportunities for improvement.
Serve as a technical subject matter expert (SME) on modeling techniques, feature engineering, pipeline orchestration, performance optimization and testing.
Partner with other data scientists, engineers and product teams to define technical standards, influence solution‑design decisions, and raise the bar on solution quality.
Champion MLOps excellence across the team, including CI/CD for ML, automated testing, monitoring, model versioning and rollback strategies.
Design and promote implementation of reusable codes, tools and frameworks for model development, training, deployment, monitoring and governance.
Drive complex, high‑impact modeling projects from ideation to production, especially where advanced techniques (e.g., NLP, GenAI, LLMs) can drive strong business value.
Leverage statistical analysis, machine learning (ML) and deep learning (DL) techniques to design data products that enhance profitability, mitigate risks and drive customer engagement across all touchpoints.
Leverage cloud‑based analytical platforms to build data analytics solutions.
Extract actionable insights from data to support data‑driven decision‑making processes.
Collaborate with risk management and compliance teams to ensure compliance with internal and external regulatory requirements.
Foster a culture of innovation and continuous improvement within the team.
Requirements
Ph.D. in a quantitative or analytical field (Statistics, Mathematics, Physics, Computer Science, Engineering, or related) and (4) years of relevant experience.
Or Master’s degree in a quantitative or analytical field and six (6) years of relevant experience.
Or Bachelor’s degree in a quantitative or analytical field and eight (8) years of relevant experience.
Eight (8) years of experience in Machine Learning, with experience in GenAI, LLMs and frameworks such as Hugging Face Transformers and LangChain.
Eight (8) years of programming experience in Python, PySpark, SQL and modern ML libraries (Scikit‑learn, TensorFlow, PyTorch).
Six (6) years of hands‑on experience with Big Data tools and platforms such as Hadoop, Spark, Hive, MLFlow or Kafka.
Six (6) years of hands‑on experience with cloud‑based analytics platforms such as AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform, Snowflake or Databricks.
Preferences
Five (5) years of experience in Agile Software Development Lifecycle.
Five (5) years of experience influencing, guiding or providing technical direction to other data scientists or cross‑functional team members; background in banking and/or other financial services.
Experience in RAG and integrating frontier models such as LangChain, LlamaIndex, Anthropic, Bedrock, GPT or Ollama.
Experience with Docker/Kubernetes.
Hands‑on experience with techniques for text parsing, sentiment analysis and use of generative models such as GPT, VAE, and GANs.
Skills And Competencies
Ability to continue research and learn new systems as needed.
Ability to partner with stakeholders to identify business challenges and design solutions.
Ability to research, analyze data, and derive facts.
Ability to work under pressure and meet deadlines.
Deep understanding of statistical and predictive modeling concepts, machine learning approaches, clustering and classification techniques, or recommendation and optimization algorithms.
Experience delivering and scaling models in production.
Experience planning, managing, and delivering data science projects, including risk identification and mitigation.
Strong verbal, written communication, and organizational skills.
Strong work ethic and self‑motivation.
Position Type Full time
Compensation Details Pay ranges are job‑specific and are provided as a point‑of‑market reference for compensation decisions. Other factors include experience, skills, knowledge, contribution, location and performance. The target salary range for this position is $144,158.30 – $191,230.00 with incentive pay plans such as an annual discretionary incentive plan and a long‑term incentive plan.
Benefits Information
Paid Vacation/Sick Time
401(k) with Company Match
Medical, Dental and Vision Benefits
Disability Benefits
Health Savings Account
Flexible Spending Account
Life Insurance
Parental Leave
Employee Assistance Program
Associate Volunteer Program
Location Details This position is intended to be onsite, now or in the near future. Associates will have regular work hours, including full days in the office three or more days a week. The manager will set the work schedule. Relocation assistance is not provided for this position. Locations available: Birmingham, AL; Atlanta, GA; Charlotte, NC.
Regions will not sponsor applicants for work visas for this position at this time. Applicants must be currently authorized to work in the United States on a full‑time basis.
Equal Opportunity Employer/including Disabled/Veterans Regions is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status or other protected status.
Job applications are accepted electronically through Regions’ career site for a minimum of five business days from the posting date. Posted positions may remain active for longer periods and may be closed at any time at the discretion of the company.
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