Srm University

2 months ago

Chennai Tamil Nadu, India Philips Full time

**Job Title**: SRM University - BTech Data Science or Data Analytics

**Job title**:
BTech Data Science or Data Analytics Specialization 6 mths

**Philips Global Business Services** delivers excellence in the execution of business services, enabling an agile repeatable framework to leverage market opportunities that contribute to extending our leadership as a Health Technology company. Our people are a key part of the transformation program in Philips and at GBS, you become part of a global team of professionals that form the backbone of this journey.

**Responsibilities**:

- Perform proof-of-concept projects, engage in product design, and build prototypes and production models.
- Consider the full impact of your work. This means considering privacy, ethics, and regulation, as well as the performance of your code and the accuracy of your models.
- Creates methods of obtaining data that can be used for data sciences; Identifies ways to improve current data mining for future recommendation to reduce manual manipulation of data.
- Adeptly interpret and utilize mass quantities of data to generate innovative hypotheses & insights, and present these insights to the different stakeholders
- A strong passion for empirical research and for answering hard questions with data
- Good understanding of statistical and machine learning modeling concepts.
- Strong with R / Python programming or any other open source programming language.
- Good Exposure to data mining, web data scrapping and data wrangling using R / Python or any other open source programming language
- Strong understanding and exposure to Natural Language Processing (NLP) and text data mining tasks a plus.
- Exposure to supervised / unsupervised classification techniques and approaches specific to Document clustering, Topic modeling and other NLP tasks
- Experience and exposure in various data extraction methods (like data extraction from PDF Files, JSON, HTML and Java Script rendered web pages, etc.) a plus
- Develop, maintain, track and identify fine-tuning opportunities for existing machine learning models for different business problems.

**Essential Qualifications and Skills**
- Good undergraduate or Master degree in a mathematical or technical discipline, such as Mathematics, Economics, Computer Science, Engineering, MBA.
- Your passion is focused on the design of algorithms and products to solve real, pressing problems using data
- Obsessed with data, very strong quantitative and analytical muscle
- Have 1+ years of experience with predictive modeling and statistical analysis techniques in a business environment. Exceptional recent graduates will also be considered.
- Any text mining / text analytics certification or relevant experience a plus
- Excellent communication and presentation skills, good to have prior stakeholder management experience
- Domain or process knowledge on various functions such as supply chain, procurement, finance etc.

Working at Philips is more than a job. It’s a calling to create a healthier society through meaningful work, focused on improving 2.5 billion lives a year by delivering innovative solutions across the health continuum. Our people experience a variety of unexpected moments when their lives and careers come together in meaningful ways.

**How we work together**
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.
Onsite roles require full-time presence in the company’s facilities.
Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.

**This is an office role**

**About Philips**
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
- Learn more about our business.
- Discover our rich and exciting history.
- Learn more about our purpose.

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