Philips is looking for the position of Intern- Data Analytics in Bangalore; Chennai, India. Candidates with Bachelor’s degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
Company Name | Philips |
Position | Intern- Data Analytics |
Qualifications | Bachelor’s Degree |
Batch | 2021/ 2022/ 2023/ 2024/ 2025/ 2026 |
Experience | Freshers/ Experienced |
Location | Bangalore; Chennai, India |
Key Responsibilities:
- Data Preprocessing:
- Understand complex business requirements and translate them into scalable technical solutions.
- Clean, transform, and organize raw data to ensure its suitability for analysis.
- Design and build data structures to enable efficient analytics.
- Visual Reporting:
- Develop, execute, and consolidate visual reports, dashboards, scorecards, and review packs to present data insights effectively.
- Model Development:
- Build statistical or machine learning models to derive valuable insights for business problems.
- Continuously review, enhance, and optimize existing models to improve performance.
- Problem-Solving:
- Collaborate with functional stakeholders to analyze data and support problem-solving in the supply chain and product configuration domain.
- Project Management:
- Lead the development and implementation of data science models, such as forecasting, regression, and simulation.
- Manage the full lifecycle of analytics projects, ensuring rigorous evaluation, feedback, and thought leadership in the supply chain and product configuration domain.
Eligibility Criteria:
- Bachelor’s degree in Engineering, Data Science, or Mathematics from a top-tier institute (Mandatory).
Technical Skills:
- Strong process and domain knowledge in finance, supply chain, and product configuration.
- Ability to analyze complex business information from multiple perspectives to support strategic decision-making.
- Extensive knowledge of analytics, data science, and machine learning principles, both in theory and practice.
- High proficiency in AI-powered insight tools and engines, with the ability to apply them to real-time problems.
- Hands-on experience with agile software development lifecycle and project management.
- Proficiency in the following tools and technologies:
- Programming Languages: Python, R, SAS, SQL
- Statistics and Probability: Fundamental concepts and advanced data science algorithms, including NLP
- Database Management: Oracle, SQL Server, SAP ERP
- Machine Learning and Data Science Concepts
Soft Skills:
- Strong analytical thinking with the ability to identify data patterns, distributions, and perform statistical analyses.
- Ability to break down complex problems into smaller components and integrate solutions effectively.
- Strong design aesthetics, with the ability to create informative and engaging visualizations.
- Highly committed, with the ability to deliver high-quality outcomes on time.
- Excellent communication and presentation skills, with strong stakeholder engagement abilities.
- Detail-oriented, ensuring high data quality and accuracy in analysis.
- Ability to craft compelling narratives around data visualizations to support better decision-making.
Experience:
- Minimum 3-4 years of relevant experience required.
Preferred Certifications:
- Data Visualization and Analytics Tools
- Data Science and Machine Learning
Competencies:
- Customer Focus: Engage effectively with customers and deliver innovative solutions.
- Quality and Integrity: Uphold the highest standards to ensure patient safety, quality, and ethical work practices.
- Collaboration: Work effectively across organizational boundaries to achieve the best results.
- Ownership & Accountability: Take responsibility for delivering company and team goals efficiently.
- Continuous Improvement: Apply Lean methodologies to simplify processes and enhance efficiency.
About Company:
At Goldman Sachs, we believe progress is everyone’s business. That’s why we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, Goldman Sachs is a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices in all major financial centers around the world.
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