The Bank Products and Services group provides a bank-wide product and services framework that prioritizes client needs, resources and capital demands for creating growth, providing TUCE and introducing greater innovation and efficiencies into our solutions and operating model.
As an Emerging Technology Cloud Data Scientist, you will be developing, deploying, and optimizing AI/ML models on cloud-native platforms to support the financial organization's digital and analytical transformation. You will leverage advanced statistical modeling, machine learning, and cloud technologies to deliver scalable, secure, and compliant AI solutions. This involves working closely with the Emerging Technology Product Manager to identify and build solutions. You will also collaborate with data engineers, architects, and business stakeholders to create AI models that power fraud detection, risk management, payments modernization, and personalized banking services, ensuring alignment with enterprise AI governance and regulatory requirements. This is a subset of the overall responsibilities which will include multiple initiatives as assigned by IT leadership.
This role is hybrid (Mon through Thu on-site / Fri remote) and located in downtown Kansas City, MO.
How you'll spend your time:
Work closely with the Emerging Technology Product Manager to identify and build solutions.
Design, build, and validate AI/ML models on cloud-native platforms (AWS SageMaker/Bedrock, Azure AI, GCP Vertex AI).
Collaborate with AI Cloud Data Engineers to build scalable data pipelines for model training, validation, and inference.
Develop and maintain cloud-based MLOps pipelines for continuous integration, deployment, and monitoring of AI models.
Ensure AI/ML solutions meet regulatory requirements for fairness, explainability, and security in financial services.
Partner with data architects and governance teams to align models with enterprise data frameworks and compliance standards.
Conduct experiments with advanced techniques such as NLP, generative AI, and deep learning for financial applications.
Monitor and retrain cloud-deployed models to address data drift, performance degradation, or compliance changes.
Document methodologies and results to ensure transparency and audit readiness.
Translate business requirements into scalable AI model solutions deployed in the cloud.
Stay current on advancements in AI/ML, cloud computing, and regulatory AI frameworks.
We're excited to talk with you if:
You have a Bachelor's degree in Data Science, Statistics, Computer Science, or related field and at least 3 years of experience in applied machine learning or data science OR equivalent combination of education and work experience.
You have hands-on experience with at least one major cloud platform (AWS, Azure, or GCP).
You have in-depth programming skills in Python or R, with knowledge of AI/ML frameworks (Scikit-learn, TensorFlow, PyTorch).
You have strong understanding of statistics, probability, and applied mathematics.
You have proficiency in cloud-native AI/ML platforms and services (e.g., SageMaker, Bedrock, Vertex AI, Azure AI).
You have knowledge of data preparation, feature engineering, and model lifecycle management.
You have familiarity with SQL, data wrangling, and cloud-based data warehouses (Snowflake, Redshift, BigQuery, Synapse).
Bonus Points If:
You have a Master's or PhD in Data Science, Machine Learning, or related discipline.
You have at least 5 years of data science experience in financial services or regulated industries.
You have certifications such as AWS Certified Machine Learning - Specialty, Google Professional Data Scientist, or Microsoft AI Engineer.
You have experience building cloud-native AI solutions for fraud detection, credit risk scoring, and compliance monitoring.
You have experience with advanced deep learning architectures (transformers, reinforcement learning).
You have familiarity with distributed AI training frameworks (Horovod, Ray, DeepSpeed).
You have knowledge of streaming and real-time data processing in the cloud (Kafka, Pub/Sub, Kinesis).
You have understanding of AI observability tools, bias detection, and drift.
Applicants must have legal authority to work in the United States. Work Visa sponsorship is not available for this position.
Compensation Range:
$69,230.00 - $149,000.00
The posted compensation range on this listing represents UMB's standard for this role, but the actual compensation may vary by geographic location, experience level, and other job-related factors. In addition, this range does not encompass the full earning potential for this role. Please see the description of benefits included with this job posting for additional information
UMB offers competitive and varied benefits to eligible associates, such as Paid Time Off; a 401(k) matching program; annual incentive pay; paid holidays; a comprehensive company sponsored benefit plan including medical, dental, vision, and other insurance coverage; health savings, flexible spending, and dependent care accounts; adoption assistance; an employee assistance program; fitness reimbursement; tuition reimbursement; an associate wellbeing program; an associate emergency fund; and various associate banking benefits. Benefit offerings and eligibility requirements vary.
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