Key responsibilities
Deliver quality analytics, from data preparation, data analysis, data exploration, data quality assessment, data manipulation, method selection, design & application, insights generation and visualisation
Develop and implement machine learning models and algorithms, whilst also providing guidance and leadership to other data scientists to implement industry best practices.
Proactive learning and acquisition of key analytical, technical and commercial skills and business knowledge to become a proficient lead data science analyst.
KPIs: Timeliness, accuracy, manager and client feedback (Internal and external as required)
Collaborate with internal stakeholders and demonstrate the ability to transform client questions and problems into analytical solutions
Active team member in providing the required support to help business understand and optimise use of analytical products and / or solutions
Build industry knowledge on the advancements in the field of analytics, data science and GenAI
Comply with the IM Cigna and CHSI Policies, procedures and processes, and continuously demonstrate Cigna Data and Analytics culture.
Key activities
Working in a team to support end-to-end analytical projects
Liaising with stakeholders to determine objectives / scope of upcoming projects
Data exploration, cleansing and manipulation
Determining appropriate type of analysis and undertaking analysis/modelling
Extracting insights
Clear presentation of insights via spreadsheets, PowerPoint presentations, self-service analytical visualization tools
Participate in client meetings
Ongoing stakeholder interaction (internal and external as required) on project progress
Contribute to the Feedback process (between stakeholders and the team) to ensure continuous improvement with team
Participate and contribute in learning forums such as Analytics Community and sharing knowledge with wider team
Experience and education required
4 to 6+ years’ experience in a technical analytics environment, carrying out data analytics and data science/AI projects and initiatives
Tertiary qualifications in engineering, mathematics, actuarial studies, statistics, physics, or a related discipline
Knowledge of technical analytics discipline, including data preparation and foundational analytics concepts
Experience with successfully managing both internal and external stakeholders, delivering against projects, tasks and activities in a dynamic deadline driven environment
Commercial acumen to understand business needs and be able to suggest the commercial impacts of different analytics solutions or approaches
Coding and modelling experience in SQL / R / Python and / or Cloud data platforms e.g. AWS
Experience in visualization and data management tools is an added advantage
Experience in GenAI/ LLMs is an added advantage
Experience working with complex datasets
Attention to detail and self driven continuous learning
Participation in external data hackathons and competitions will be an added advantage
About The Cigna Group
Cigna Healthcare, a division of The Cigna Group, is an advocate for better health through every stage of life. We guide our customers through the health care system, empowering them with the information and insight they need to make the best choices for improving their health and vitality. Join us in driving growth and improving lives.Top Skills
What We Do
At Cigna, we're more than a health insurance company. We are your partner in total health and wellness. And we’re here for you 24/7 – caring for your body and mind.
As a global health service company, Cigna's mission is to improve the health, well-being, and peace of mind of those we serve by making health care simple, affordable, and predictable.
Our values are the core of our culture. Our values guide how all 74,000 of us around the world work together, serve our customers, patients, clients, communities, and deliver on our mission.
