Weir is Hiring Data Science – Intern | Finsplitz

Introduction

Are you a budding data scientist eager to apply your academic knowledge to real-world industrial challenges? Weir Group, a global engineering leader focused on mining and industrial solutions, is actively seeking talented Data Science Interns for its operations in India, primarily based in Bengaluru. Weir Group leverages advanced engineering and technology to provide mission-critical solutions for sustainable mining, infrastructure, and other industrial sectors. As a Data Science Intern at Weir, you will have a unique opportunity to contribute to the organization’s data-driven transformation by working on projects that involve analyzing industrial data, building predictive models, and generating actionable insights. This internship is an excellent stepping stone for those passionate about applying data science to optimize operations, enhance efficiency, and support sustainable practices in heavy industries.

Roles and Responsibilities

A Data Science Intern at Weir Group will play a vital role in bridging academic knowledge with practical data challenges within a real-world industrial setting. Interns are expected to contribute to various phases of data science projects under the guidance of experienced data scientists and engineers.

Typical responsibilities for a Data Science Intern at Weir Group include:

• Exploratory Data Analysis (EDA):
  • Performing in-depth exploratory data analysis on large and complex datasets from industrial equipment, operational processes, and other sources to uncover meaningful patterns, trends, and anomalies.
  • Cleaning, transforming, and preparing data for analysis and model building.
• Model Development & Implementation:
  • Assisting in the design, development, and evaluation of predictive models (e.g., for equipment failure prediction, process optimization, performance forecasting) using machine learning techniques.
  • Contributing to the development of frameworks for reusable patterns, potentially including Generative AI product development.
  • Conducting capability testing of modern data platforms such as Microsoft Fabric and Databricks.
• Insight Generation & Communication:
  • Translating complex data findings into clear, concise, and actionable insights for non-technical stakeholders across engineering, operations, and business teams.
  • Creating data visualizations and dashboards using tools like Matplotlib, Seaborn, or other visualization platforms to present findings effectively.
  • Documenting findings, methodologies, and code to ensure reproducibility and transparency.
• Collaboration & Learning:
  • Collaborating with cross-functional teams, including engineers, domain experts, and product managers, to understand business requirements and translate them into data solutions.
  • Actively participating in team meetings, brainstorming sessions, and knowledge-sharing initiatives.
  • Demonstrating a strong commitment to Weir’s “zero harm” safety principles and contributing to a world-class safety culture.

This internship offers a chance to work with real-world industrial data, providing valuable experience in a domain where data science can significantly drive efficiency, sustainability, and innovation.

Stipend and Benefits

Weir Group offers a competitive stipend for its Data Science Interns in India, acknowledging the value these roles bring to their data-driven initiatives. The compensation package is designed to attract bright minds and provide a supportive learning environment.

• Average Monthly Stipend:
  • The typical monthly stipend for a Data Science Intern at Weir Group in India (specifically Bengaluru) can range from ₹25,000 to ₹42,000 per month. This is competitive for data science internships within the industrial or manufacturing sector.
• Key Benefits and Perks for Interns:
  • Real-world Project Experience: Direct involvement in projects that have a tangible impact on Weir’s operations, especially in mining manufacturing, sustainability, and efficiency.
  • Mentorship: Opportunity to learn from experienced data scientists, engineers, and domain experts within a global engineering company.
  • Exposure to Cutting-Edge Technologies: Hands-on experience with modern data platforms (e.g., Microsoft Fabric, Databricks) and potentially Generative AI applications in an industrial context.
  • Learning & Development: Access to internal resources, training, and opportunities to deepen skills in Python, machine learning, and specific industrial applications of data science.
  • Networking Opportunities: Chance to connect with professionals across various disciplines within Weir Group.
  • Contribution to Sustainability: Work on projects that align with Weir’s mission of enabling sustainable resource extraction, contributing to a low-carbon future.
  • PPO (Pre-Placement Offer) Opportunity: For outstanding interns, there may be a possibility of receiving a full-time Pre-Placement Offer (PPO) upon successful completion of the internship, based on performance and business needs.
  • Hybrid Work Model: Many intern roles at Weir in Bengaluru offer a hybrid work arrangement, providing flexibility.
  • Certificate of Internship: A formal certificate upon successful completion, validating the valuable experience gained.

Eligibility Criteria

Weir Group seeks bright and motivated students with a strong foundation in data science, eager to apply their skills in an industrial setting.

• Educational Qualification:
  • Currently pursuing a Bachelor’s or Master’s degree in Engineering or a related quantitative field such as Computer Science, Statistics, Mathematics, or Data Science. Students in their final or pre-final year are generally preferred.
• Experience:
  • This is an internship role, typically requiring no prior professional experience. However, strong academic projects, relevant coursework, or personal data science projects are highly valued.
• Key Technical Skills (Essential & Desirable):
  • Basic understanding of Statistics and Machine Learning Concepts: Solid grasp of fundamental statistical methods (e.g., hypothesis testing, regression) and core machine learning algorithms (e.g., supervised, unsupervised learning).
  • Proficiency in Python: Hands-on experience with Python and its essential data science libraries (Pandas, NumPy, Scikit-learn).
  • Data Visualization: Familiarity with data visualization tools and libraries (e.g., Matplotlib, Seaborn).
  • SQL (Plus): Experience with SQL for data extraction and manipulation is a significant advantage.
  • Exposure to Generative AI (Plus): Any prior coursework or project experience with Generative AI concepts is a plus.
  • Familiarity with Data Platforms (Plus): Exposure to platforms like Microsoft Fabric or Databricks is beneficial.
• Key Soft Skills:
  • Strong Analytical and Problem-Solving Skills: Ability to analyze complex data, identify root causes, and propose data-driven solutions for industrial challenges.
  • Good Communication and Teamwork Abilities: Excellent verbal and written communication skills to articulate technical findings to diverse audiences and collaborate effectively within cross-functional teams.
  • Proactiveness & Curiosity: Eagerness to learn new technologies, explore data, and take initiative.
  • Attention to Detail: Meticulous approach to data quality and analysis.
  • Commitment to Safety: Alignment with Weir’s strong safety culture and principles.

Application Process

The application process for a Data Science Intern at Weir Group typically involves a few stages designed to evaluate a candidate’s technical skills, analytical thinking, and fit for the industrial environment.

1. Online Application:
   • Candidates apply through Weir Group’s official careers website or platforms like Unstop and Talentd.
   • Submit a detailed resume/CV highlighting your academic qualifications, relevant coursework, programming skills (Python, SQL), data science projects (academic or personal), and any related internships.
   • A compelling cover letter explaining your interest in data science at an industrial company like Weir can strengthen your application.
2. Resume Screening:
   • Recruiters and hiring managers review applications to shortlist candidates whose profiles best align with the technical and educational requirements of the internship.
3. Online Assessment (Potential):
   • Some roles might include an online assessment testing:
     • Aptitude: Logical reasoning and quantitative aptitude.
     • Technical Skills: Questions on Python programming (especially Pandas, NumPy), basic SQL, and machine learning concepts. This could be multiple-choice or coding challenges.

Interview Process

Candidates who successfully clear the initial screening and assessment (if applicable) are typically invited for 1-2 rounds of interviews.

• Round 1: Technical Interview (45-60 minutes)
  • Focus: This round assesses your foundational knowledge in data science, programming skills, and problem-solving approach.
  • Questions:
    • Python: Live coding questions involving data manipulation (Pandas), array operations (NumPy), and potentially basic algorithm implementation.
    • Machine Learning/Statistics: Explaining core ML concepts (e.g., supervised vs. unsupervised, bias-variance tradeoff), types of regression/classification models, and statistical concepts (e.g., p-value, confidence intervals, A/B testing).
    • SQL (if applicable): Writing SQL queries for data extraction, joining tables, and aggregation.
    • Project Discussion: Deep dive into your past data science projects (academic or personal). Be prepared to explain your approach, challenges faced, and the insights derived.
• Round 2: Managerial / Behavioral / Case Study Interview (45-60 minutes)
  • Focus: This round with the hiring manager or a senior data scientist evaluates your analytical thinking in a business context, communication skills, motivation, and cultural fit.
  • Questions:
    • Behavioral: “Tell me about a time you faced a challenge in a project and how you overcame it,” “How do you handle ambiguity?”, “Describe a time you worked effectively in a team.”
    • Business Case Study: You might be given a simplified industrial scenario or problem (e.g., “How would you predict equipment failure based on sensor data? What data would you need? What models might you use?”). The focus is on your structured thinking and ability to break down a problem.
    • Motivation: “Why are you interested in data science at Weir Group specifically?”, “What do you hope to learn from this internship?”, “What are your career aspirations?”
    • Safety Culture: Expect questions demonstrating your awareness and commitment to safety in an industrial setting.

Preparation Tips:

• Strengthen Fundamentals: Ensure a solid grasp of statistics, probability, and core machine learning algorithms.
• Master Python for Data Science: Practice extensively with Pandas, NumPy, Scikit-learn. Be comfortable with data cleaning, manipulation, and basic model building.
• Practice SQL: If SQL is mentioned as a plus, definitely brush up on intermediate SQL queries.
• Work on Projects: Develop a portfolio of data science projects (even small ones) on platforms like GitHub. Be ready to explain your thought process, code, and insights.
• Understand Weir Group’s Business: Research Weir’s focus on mining and industrial applications, their products, and their commitment to sustainability and “zero harm.” This shows genuine interest.
• Practice Case Studies: Develop a structured approach to solving business problems using data. Think about defining the problem, identifying relevant data, choosing appropriate methods, and communicating insights.
• Prepare Behavioral Answers: Use the STAR method to structure your responses for questions about teamwork, challenges, and leadership.
• Networking: Connect with professionals from Weir Group on LinkedIn to gain insights into the culture and roles.

Conclusion

A Data Science Intern role at Weir Group in India offers a unique and impactful opportunity to apply your analytical skills in the vital industrial sector. You’ll work with real-world data to drive efficiency, innovation, and sustainability in an established global engineering company. If you are a curious, driven, and technically proficient student eager to make a tangible difference with data, this internship at Weir Group can be an exceptional launchpad for your career in industrial data science.

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