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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 strong track record of successfully delivering complex data science projects.

Primary Responsibilities

+ Develops and leads execution of the research roadmaps for advanced AI Capabilities such as LLM, GenAI, Retrieval-Augmented Generation (RAG), Agents and Computer Vision etc.

+ Stays at the cutting edge of ML/AI literature and practices

+ Periodically evaluates the design of existing modeling and MLOps and identifies opportunities for improvement

+ Serve as a technical Subject Matter Expert (SME) on modeling techniques, feature engineering, pipeline orchestration, performance optimization and testing

+ Partners with other data scientists, engineers and product teams to define technical standards, influence solution-design decisions, and raise the bar on solution quality

+ Champions MLOps excellence across the team, including CI/CD for ML, automated testing, monitoring, model versioning and rollback strategies

+ Designs and promotes implementation of reusable codes, tools and frameworks for model development, training, deployment, monitoring and governance

+ Drives complex, high-impact modeling projects from ideation to production, especially where advanced techniques (e.g. NLP, GenAI, LLMs) can drive strong business value

+ Leverages statistical analysis, machine learning (ML) and deep learning (DL) techniques, collaborating with various lines of businesses to design data products that enhance profitability, mitigate risks, and drive customer engagement across all touchpoints

+ Leverages cloud-based analytical platforms to build data analytics solutions

+ Extracts actionable insights from data to support data-driven decision-making processes

+ Collaborates with risk management and compliance teams to ensure compliance with internal and external regulatory requirements

+ Fosters a culture of innovation and continuous improvement within the team

This position is exempt from timekeeping requirements under the Fair Labor Standards Act and is not eligible for overtime pay.

This position is incentive eligible.

Requirements

+ PhD degree in a quantitative or analytical field such as Statistics, Mathematics, Physics, Computer Science, Engineering, or a related discipline and our (4) years of relevant experience

+ Or Master’s degree in a quantitative or analytical field, such as Statistics, Mathematics, Physics, Computer Science, Engineering, or a related discipline and six (6) years of relevant experience

+ Or Bachelor’s degree in a quantitative or analytical field, such as Statistics, Mathematics, Physics, Computer Science, Engineering, or a related discipline 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 (e.g. 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 Amazon Web Services (AWS) SageMaker, Azure Machine Learning Studio, 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 the use of generative models such as Generative Pre-trained Transformer (GPT), Variational Autoencoders (VAE), and Generative Adversarial Networks (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

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 for this position, including in-office expectations. Regions will not provide relocation assistance for this position, and relocation would be at your expense. The locations available for this role are **Birmingham, AL, Atlanta, GA or Charlotte, NC.

Regions will not sponsor applicants for work visas for this position at this time. Applicants for this position must currently be authorized to work in the United States on a full-time basis.

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 which directly impact pay for individual associates include: experience, skills, knowledge, contribution, job location and, most importantly, performance in the job role. As these factors vary by individuals, pay will also vary among individual associates within the same job.

The target information listed below is based on the Metropolitan Statistical Area Market Range for where the position is located and level of the position.

Job Range Target:

_Minimum:_

$144,158.30 USD

_Median:_

$191,230.00 USD

Incentive Pay Plans:

This role is eligible to participate in the annual discretionary incentive plan. Employees are eligible to receive a discretionary award based on individual, business, and/or company performance.Opportunity to participate in the Long Term Incentive Plan.

Benefits Information

Regions offers a benefits package that is flexible, comprehensive and recognizes that "one size does not fit all" for benefits-eligible associates. (https://www.regions.com/about-regions/benefits/benefits-eligibility) Listed below is a synopsis of the benefits offered by Regions for informational purposes, which is not intended to be a complete summary of plan terms and conditions.

+ Paid Vacation/Sick Time

+ 401K 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

Please note, benefits and plans may be changed, amended, or terminated with respect to all or any class of associate at any time. To learn more about Regions’ benefits, please click or copy the link below to your browser.

https://www.regions.com/about-regions/welcome-portal/benefits

Location Details

Atlanta Midtown

Location:

Atlanta, Georgia

Equal Opportunity Employer/including Disabled/Veterans

Job applications at Regions are accepted electronically through our career site for a minimum of five business days from the date of posting. Job postings for higher-volume positions may remain active for longer than the minimum period due to business need and may be closed at any time thereafter at the discretion of the company.