Astrazeneca

Actively Hiring

Data Analytics Intern

Södertälje, Sweden

Full-time

Role Overview

In this thesis project, you will analyze large volumes of batch data to identify bottlenecks and process variation, and develop insights to support production improvements using data analytics.

About Astrazeneca

AstraZeneca is a global, science-led, patient-centered biopharmaceutical company focusing on discovering, developing, and commercializing prescription medicines for some of the world’s most serious diseases.

Key Responsibilities

Identifying bottlenecks, waiting times and process variations that may contribute to longer batch lead times.
Quantifying the potential impact of identified improvement opportunities on manufacturing performance.
Developing visualisations and KPIs to support ongoing process monitoring and optimisation.
Exploring how data analytics and AI-based methods could support future lead-time improvements.

Requirements & Eligibility

Currently studying for a bachelor’s degree in a relevant field, such as chemical engineering, process engineering, industrial engineering, automation and control, data science, computer science, applied mathematics or statistics.
Experience with data analysis and basic statistical methods.
Programming skills in Python, R or a similar language.
Knowledge of data processing; experience with databases or SQL is an advantage.
Strong analytical and problem-solving skills, with the ability to communicate findings clearly and systematically.
Interest in manufacturing processes, industrial automation and digitalisation.

Required Skills & Tech

PythonRSQLDeltaVPower BIData Analysis