Job Description

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.