IT Intern

Apply now » IT Intern We are IMETA 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 Data Science Development Environments(Jupyter, VS Code), including versioning (GitHub, Azure)* 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. What happens Next? We are looking forward to receiving your application! We will then have a look at your CV. If we see a match, we will invite you for a screening interview. 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. Apply now » Find similar jobs: Data Privacy © 2010-2025 Boehringer Ingelheim GmbH. All rights reserved

Bachelor’s degree in Data Science, Computer Science, Artificial Intelligence, or Statistics. Core knowledge of Python, SQL, including pandas, NumPy, and scikit-learn. Foundational Data Science Development Environments(Jupyter, VS Code), including versioning (GitHub, Azure). 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.

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.