IT Intern

Boehringer Ingelheim GmbH; Dubai; On-site; AED 45,000 - 78,000; Full time

Job summary

Boehringer Ingelheim is seeking a Data Science Intern to join our IT team in Dubai. You will gain practical experience by working on real-world business challenges, supporting data-driven projects, and learning how data science solutions progress from analysis to evaluation.

The role reports to the Business Information Manager and offers exposure to cloud platforms, AI models, and agile processes in a multinational setting.

Qualifications

• Bachelor’s degree in Data Science, Computer Science, Artificial Intelligence, or Statistics.
• Core knowledge of Python, SQL, including pandas, NumPy, and scikit-learn.
• Foundational ML tools (Scikit-Learn), AI & Gen AI (Hugging Face, OpenAI, Azure).
• Experience data visualization tools (Python visualizations, PowerBi, Tableau).
• Understanding of statistics and basic ML techniques (regression, classification, clustering).
• Familiarity with PyTorch, TensorFlow, MLflow, Weights & Biases, Docker, or cloud notebooks is an advantage.
• Ability to work with large, unstructured datasets from different sources.
• Strong analytical, problem-solving, communication, and teamwork skills.
• Must be based in UAE, with a valid residence visa.

Responsibilities

• Translate business challenges into clear data questions and measurable objectives.
• Collect, clean, and prepare data from databases, CSV files, and APIs.
• Support data analysis, feature engineering, and machine learning activities.
• Build, model and evaluate basic predictive and analytical models.
• Create visualizations and communicate findings to stakeholders.
• Participate in agile meetings and present project progress.
• Explore modern tools such as cloud platforms and AI models.

Skills

Python

SQL

Pandas

NumPy

Scikit-Learn

Data visualization

PyTorch

TensorFlow

MLflow

Weights & Biases

Docker

Cloud notebooks

Education

Bachelor's degree in Data Science, CS, AI, or Statistics

Tools

PyTorch

TensorFlow

MLflow

Weights & Biases

Docker

Job description

ROPU IMETA is a Regional Operating Unit consisting of 6 mid-sized Operating Units: India, Turkey, Southern Africa (South Africa & Sub Sahara Africa) Northeast & West Africa, Near East & UAE, Saudi Arabia, Gulf & East Africa (SAGEA).

IMETA is home to more than 47 nationalities. We are a powerhouse of talent, and we work together to ensure that we grow, nurture, and retain our talent. Uniting and working together is the key to our success.

The Opportunity

We are looking for a Data Science Intern to join our IT and gain practical experience working on real-world business challenges. You will support data-driven projects, collaborate with technical and business stakeholders, and learn how data science solutions are developed from initial analysis through to evaluation and communication.

This role will report to Business Information Manager and be based in Dubai.

Responsibilities

• Translate business challenges into clear data questions and measurable objectives.
• Collect, clean, and prepare data from databases, CSV files, and APIs, agent to agent
• Support data analysis, feature engineering, and machine learning activities.
• Build, model and evaluate basic predictive and analytical models.
• Create visualizations and communicate findings to technical and business stakeholders.
• Participate in agile meetings and present project progress.
• Explore modern tools such as cloud platforms, pretrained AI models, and basic MLOps solutions.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Artificial Intelligence, or Statistics.
• Core knowledge of Python, SQL, including pandas, NumPy, and scikit-learn.
• Foundational Machine Learning tools(SciKit-Learn), AI & Gen AI (Hugging Face,OpenAI, Azure)*
• Experience data visualization tools(Python visualizations, PowerBi, Tableau) *
• Understanding of statistics and basic machine learning techniques, including regression, classification, clustering, and model evaluation.
• Familiarity with tools such as PyTorch, TensorFlow, MLflow, Weights & Biases, Docker, or cloud notebooks is an advantage.*
• Ability to work with large, unstructured, or incomplete datasets from different sources.
• Strong analytical, problem-solving, communication, and teamwork skills.
• Must be based in UAE, with a valid residence visa.

SPL Screening:

In order to comply with applicable export control laws, Boehringer Ingelheim periodically screens business relations (including job applicants) against sanctioned party lists (“SPL”). These checks may be performed by Boehringer Ingelheim or by any of its Affiliates. You acknowledge that Boehringer Ingelheim and/or its Affiliates will screen you against SPL and that for this purpose your personal data may be processed in relevant databases, including databases of third-party vendors that perform SPL screening for or on behalf of Boehringer Ingelheim or its Affiliates which may be located or accessible outside the EU. Boehringer Ingelheim is committed to ensuring an adequate level of protection of your personal data.