Data Scientist / ML Engineer at Franklin Templeton designing and productionizing machine learning systems for business solutions. Collaborating with teams to deliver scalable and reliable ML solutions.
About the role
- Analytics Leadership Development Program at The Cigna Group develops future analytics leaders through rotations and hands-on projects. Focus on AI, data science, and machine learning in healthcare.
Responsibilities
- The ALDP seeks to develop future analytics leaders for The Cigna Group and Evernorth.
- This is a great opportunity for recent graduates or those early in their careers who are excited to apply their academic knowledge in analytics, data science and AI.
- Associates are able to focus on key data, machine learning, and analytical competencies during the 4–5 year program.
- Possible full-time projects include, but are not limited to: Building predictive models to identify high-need customers for one of The Cigna Group's clinical programs using machine learning techniques.
- Leveraging clustering algorithms and AI-driven segmentation to enable personalization in customer communication and outreach.
- Apply natural language processing (NLP), and other advanced analytical capabilities, to analyze unstructured data such as customer feedback or clinical notes.
- Exploration of generative AI applications to automate insights generation and enhance decision-making.
Requirements
- Master’s degree in a quantitative field, such as data science, statistics, business analytics, mathematics, or related major
- Strong analytical and strategic thinking skills
- Strong motivation to apply responsible and ethical AI practices to real-world business challenges
- Strong motivation for leadership (e.g., demonstrated through extracurricular work or relevant certifications)
- Takes ownership of work in which they are assigned
- Demonstrated motivation and ability to creatively solve problems and identify novel solutions to enhance productivity and modernize existing practices
- Demonstrated coursework or real-world application of analytical and AI methods, including but not limited to: writing code (e.g., Python, R, Java, Julia, SAS), using developer tools such as GitHub Copilot, developing models (e.g., regression, decision trees, deep learning, or generative AI techniques), and/or evaluating outcomes using statistical techniques (e.g., matched case-control studies, A/B testing)
- Follows best programming practices and writes clean, documented, and well-structured code
- Experience in Microsoft Excel and data visualization tools (e.g., Tableau, Qlik, Power BI) and PowerPoint a plus
- Experience with relational databases and SQL
- Experience with cloud-based AI/ML platforms (e.g., AWS SageMaker, Azure ML) a plus
- Excellent oral and written communication skills, across a variety of technical and non-technical audiences
- Ability to collaborate with other technical colleagues to understand goals/priorities and to identify roadblocks/solutions
- 3.2+ GPA strongly preferred
Benefits
- medical, vision, dental, and well-being and behavioral health programs
- 401(k) with company match
- company paid life insurance
- tuition reimbursement
- a minimum of 18 days of paid time off per year
- paid holidays
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Scientist leading complex analytics projects to drive data - informed business decisions. Collaborating with senior leadership at Vanguard to enhance analytical capabilities.
Data Scientist creating machine learning solutions to detect financial crime at a significant financial institution. Leading model development with business stakeholders and engineers while maintaining compliance standards.
Working Student at Fraunhofer Institute focusing on Data Science and Natural Language Processing. Involved in AI - driven projects with a flexible work schedule.
Werkstudent*in in Data Science und Natural Language Processing bei Fraunhofer, tätig in KI - gestütztem Wissensmanagement und innovativer KI - Lösungsentwicklung.
Data Science Internship at Engineering focused on empowering digital transformation. Join a team that values innovative solutions and professional growth in IT.
Business Analyst acting as a critical link between business and technical teams at Vodafone. Involves gathering requirements and ensuring technical specifications in telecom projects.
Data Scientist developing statistical models and rules for Allegro's eCommerce platform. Driving insights and collaborating across teams to improve product catalog and selection.
Data Scientist developing statistical models and improving product quality for Allegro's eCommerce platform. Collaborating with cross - functional teams to deliver insights and drive business solutions.
Data Scientist at Imprint leveraging data analytics to enhance co - branded credit card offerings and optimize financial product decisions. Collaborating with cross - functional teams in a high - impact role.