internship Verified organization

Data Engineer Intern

M

Milliman

About the opportunity

About Milliman

Milliman is one of the world’s largest providers of actuarial and related consulting services, with practices in healthcare, property & casualty insurance, life insurance and financial services, and employee benefits. Established in 1947, Milliman is an independent firm with a global presence. Our Karachi office supports consulting projects across the Middle East and GCC regions.

Program Overview We are excited to launch our 3-month internship program for aspiring professionals looking to build a career in Data engineering, Data Analytics, Financial Risk and Quantitative Analysis, Financial Analysis and modeling. The internship offers hands-on experience with real consulting projects. Outstanding interns may be offered a full-time role upon successful completion of the program.

Potential Placement Areas Data Engineering Financial Analysis/Modeling Responsibilities Design, build, and maintain data pipelines for collecting, transforming and processing large datasets Develop and optimize ETL / ELT processes to ensure data quality, accuracy, and reliability Assist in developing and refining financial models, forecasts, and analytical tools Help prepare reports, dashboards, presentations, and other business documentation. Utilize and maintain spreadsheets, databases, and analytical tools to support project objectives. Develop and implement credit risk models, including Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) models Participate in departmental projects and contribute to process improvement initiatives.

Collaborate with team members to identify insights and support decision-making. Assist with internal and external communications, documentation, and administrative project tasks. Who Should Apply Recent graduates or postgraduates in Data Science, Mathematics, Statistics, Computer Science, Finance, Business Analytics, or related disciplines.

Strong written and verbal communication skills, with the ability to present ideas clearly and professionally. Proficiency in Microsoft Office applications, particularly Excel, and familiarity with databases or data analysis tools (Power BI, SQL, python) Strong quantitative, analytical, and problem-solving skills. Client-focused, results-driven, and detail-oriented.

Strong organizational and time management skills. Eagerness to learn and develop professionally in a consulting environment. Ability to work independently as well as collaboratively within a team.

Ability to…