This role will be part of a dedicated hybrid actuarial/data science team designing and delivering powerful analytical tools utilizing statistical modeling, machine learning, cloud computing, and big data platforms to enhance or overhaul core actuarial processes For Commercial Lines this team is responsible for all modeling that pertains to pricing, class plans, and profitability.

7+ years of professional experience in data science, with strong foundation in machine learning, and data visualization. Experience in data science, Agent architecture (Crew AI, Semantic Kernel, Autogen, Prompt Flow), Large Language Models(Commercial and OpenSource), LangChain, Retrieval Augmented Generation, Vector Databases and Machine Learning models.

Being an expert on the latest health and wellness technology, products and use cases related to AI, big data, responsible AI (Artificial Intelligence) / Machine Learning (ML), and Internet of Things (IoT.

Travelers Data Scientists are taking the organization to the next level of intelligence by using advanced statistical techniques and machine learning algorithms. Recognized industry expertise in 2-3 of the following: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling.

The implementation of machine learning (ML) models and artificial intelligence (AI) solutions in property and casualty insurance is rapidly advancing. Heavy concentration in mathematics, including statistics and programming, business intelligence/analytics, as well as data science tools and research using large data sets.

The Hartford seeks a data scientist within a multidisciplinary actuarial/data science team responsible for designing and delivering powerful analytical insights utilizing statistical modeling, machine learning, and data engineering techniques to enhance and overhaul core actuarial processes.

4+ years of related work experience in the field of Data Science & Machine learning. You will play a pivotal role in the growth of our data science team and will be an instrumental resource as we continue to build a team of data scientists and machine learning engineers that can increase customer engagement and stickiness on our sites while improving the quality of the leads to our partners.

The program is designed to offer practical experience in areas including project management, agile methodologies, software engineering, cloud engineering, data science/analytics/visualization, user experience UI/UX, machine learning and cyber security initiatives.

Advanced knowledge in 2-3 of the following: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling. Master's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus three years of experience, or PhD in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus zero years of experience, or any suitable and equivalent combination of education and work experience.

Minimum of 6 years of extensive full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science. As an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real-world problems into practical, efficient, and scalable AI and Machine Learning solutions.

The opportunity: The Senior Data Scientist I role will provide advanced analytics support within the Business Analytics function that applies the power of data with machine learning to improve business outcomes across the Health and Risk Solutions business.

6+ years of experience with data science - including having a deep knowledge & mastery of Python, machine learning & deep learning, and associated data science packages (e.g., sklearn, TensorFlow, PyTorch) - and demonstrated comfort leading data science projects from inception to deployment.

As the Lead Data Scientist, you will interact with a core team of fellow data scientists to develop machine learning models and solutions that drive improvements in healthcare member experience and operational performance metrics.

Experience and passion for Data Science - machine learning, deep learning, and NLP (LLM) Design, code, test and implement quantitative models, leveraging data science techniques, in machine/deep learning and NLP.

Minimum ten years of recent experience in data science, machine learning, or AI-related roles, with at least five years in a leadership capacity. Proven track record of successfully leading and managing large-scale model operations or data science teams.