Job Description
๐Job ID: 569392
๐ขCompany: Philips ๐ฅ
๐Location: Pune, Maharashtra, India ๐ (Hybrid โ Min. 3 days office)
๐ผJob Type: Full-Time ๐ผ
โณExperience: 3โ6 years ๐ป
๐Education: Bachelorโs in Computer Science / Data Science / AI / Statistics / Mathematics ๐
๐ฐExpected Salary: โน18 โ โน35 Lakhs per year ๐ฐ
๐Job Category: Information Technology, Engineering, Data Science, AI, Machine Learning, Analytics ๐
๐Website: Website
๐Contact: Contact us
๐About the Company:
Philips is a global leader in health technology ๐ฅ, focused on improving peopleโs lives through meaningful innovation.
The company leverages advanced technologies like AI and data science to deliver better healthcare solutions worldwide ๐, ensuring quality care is accessible to everyone ๐
๐กAbout the Role:
Philips is hiring a Data Scientist โ AI & Workflow Automation to drive automation and advanced analytics initiatives ๐ค.
In this role, youโll work on AI, Machine Learning, Deep Learning, and workflow automation to solve real-world business challenges and create impactful data-driven solutions ๐
๐Key Responsibilities:
๐ Automate workflows and Excel-based processes using Python โก
๐ Build and optimize data pipelines for large datasets ๐
๐ Develop AI/ML/DL models to generate business insights ๐ค
๐ Translate business problems into data-driven solutions ๐ก
๐ Collaborate with stakeholders on strategic data initiatives ๐ค
๐ Ensure high-quality data and code standards ๐
๐ Drive continuous improvement and innovation ๐
๐ Stay updated with latest AI and data science trends ๐
๐ฏRequirements:
๐ฏ Strong proficiency in Python for data automation ๐ป
๐ฏ Experience in AI, Machine Learning, and Deep Learning ๐ค
๐ฏ Ability to handle large and complex datasets ๐
๐ฏ Strong problem-solving and analytical thinking ๐ง
๐ฏ Ability to convert business needs into technical solutions ๐ฏ
๐ฏ Excellent communication and collaboration skills ๐ค
๐Why Join Philips?
โ
Work on impactful healthcare innovations ๐ฅ
โ
Use cutting-edge AI & data science technologies ๐ค
โ
Strong career growth and global exposure ๐
โ
Collaborative and purpose-driven work culture ๐ค
โ
Opportunity to solve real-world problems at scale ๐
โ
Competitive salary and benefits ๐ฐ