Data Science Senior Analyst

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