A Data Science Intern in a mining manufacturing organization like Weir plays a pivotal role in bridging academic knowledge with real-world data challenges. By applying analytical techniques, building predictive models, and uncovering actionable insights that support strategic decision-making, the intern contributes to the organizations data-driven transformation.
Why Choose Weir
Be part of a global organization dedicated to building a better future: At Weir, we constantly reinvent, adapt, and find sustainable ways to access essential resources. Each of us contributes to this mission, making it an exciting challenge.
An opportunity to grow your own way: Weir offers a dynamic environment where you can take on new challenges, explore new areas, and tailor your career path with support and freedom.
Feel empowe'red to be yourself and belong: Weir is inclusive and values each individuals contribution. We focus on people and their we'll-being, promoting fairness, honesty, transparency, and authenticity.
Key Responsibilities
- Perform exploratory data analysis (EDA) to uncover insights.
- Targeted capability testing of Data Platforms such as Microsoft Fabric and Databricks.
- Creating and developing evaluation framework for Agentic Systems.
- Assist in data developing frameworks for creation of reusable patterns in Generative AI product development.
- Collaborate with cross-functional teams to understand business requirements.
- Document findings, methodologies, and code for reproducibility.
- Demonstrate 100% commitment to our zero harm behaviors in support of our drive towards developing a world class safety culture.
Job Knowledge/Education and Qualifications
- Basic understanding of statistics and machine learning concepts.
- Proficiency in Python (Pandas, NumPy, Scikit-learn, etc).
- Familiarity with data visualization tools (eg, Matplotlib, Seaborn).
- Experience with SQL is a plus.
- Exposure of Generative AI is a plus
- Strong analytical and problem-solving skills.
- Good communication and teamwork abilities.
- Currently pursuing a Bachelors or masters degree in engineering.
- Availability for a full-time internship for 2 months