Data Science Consultant AI COE

Why This Role Matters

AI is transforming how Securian operates and serves customers. As a Data Scientist Consultant youll be at the forefront of that change designing and delivering models that enable smarter faster and more personalized experiences. Youll help bridge the gap between business needs and AI innovation advancing our Win with Purpose strategy by turning data into enterprise-wide value.

Key Responsibilities

• Partner with business teams to identify scope and prioritize AI use cases with the highest potential value ensuring alignment with strategic goals and measurable business outcomes.
• Translate business challenges into analytical frameworks defining hypotheses selecting data sources and identifying the right modeling approaches to solve real-world problems.
• Design develop and deploy advanced machine learning NLP and AI models that address complex business problems across areas such as claims underwriting marketing customer experience and operations.
• Build and optimize models that automate data extraction classification and summarization applying Large Language Models (LLMs) prompt engineering and advanced analytics to improve efficiency and insight generation.
• Evaluate test and validate models ensuring accuracy robustness fairness and explainability consistent with regulatory ethical and enterprise standards.
• Collaborate cross-functionally with AI Engineers Machine Learning and Data Engineers and technology teams to operationalize and monitor production models ensuring reliability scalability and compliance with responsible AI practices.
• Communicate insights and recommendations effectively through clear storytelling and visualization tailored to both technical and business audiences.
• Drive adoption and continuous improvement helping business teams apply AI solutions confidently and incorporating feedback to refine models and approaches.
• Stay current on emerging advancements in AI ML and NLP applying new techniques to accelerate delivery and enhance solution quality.
• Mentor and support peers fostering a culture of learning experimentation and best practices within the AI CoE and broader data science community.

Required Qualifications

• Hands-on experience designing and implementing machine learning models and AI solutions in production environments.
• Strong programming skills in Python with proficiency in libraries such as Scikit-learn TensorFlow PyTorch or similar.
• Proven ability to translate business problems into data science solutions and communicate technical results effectively.
• Experience with data wrangling feature engineering model evaluation and MLOps practices.
• Understanding of model explainability interpretability and ethical AI principles.
• Familiarity with cloud-based data science platforms (AWS SageMaker Azure ML or GCP Vertex AI).
• A growth mindset and enthusiasm for learning new techniques technologies and tools.

Preferred Qualifications

• Masters or PhD in Data Science Computer Science Statistics Mathematics or related field.
• 4 years of applied data science experience with a record of successful model delivery in business settings.
• Experience with Natural Language Processing (NLP) Large Language Models (LLMs) prompt engineering or Retrieval-Augmented Generation (RAG).
• Familiarity with cloud environments (AWS Azure or GCP) and MLOps pipelines.
• Exposure to data pipeline orchestration tools such as Apache Airflow StreamSets or Control-M.
• Understanding of data governance privacy and model risk management frameworks.
• Experience in insurance financial services or other highly regulated industries.

For more information regarding Securians benefits please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these all cases the plan document dictates coverage and provisions.

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