📋 Job Details at a Glance 📍 Location India 🏢 Company Philips 👥 Experience 3-5 years 🎓 Qualification Bachelor’s degree in CS, Data Science, AI, Applied Mathematics, Statistics, or equivalent 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python R Java C/C++ SDLC DevOps Statistical Methods AI Algorithm Development Data Harmonization Scripting Data Scientist - II at Philips — Full Details & How to Apply Philips is seeking a talented Data Scientist - II to join their innovative team in India . This role offers a unique opportunity to shape the future of technology through data-driven insights. As a key player in the technology sector, the Data Scientist - II position is vital for transforming raw data into actionable insights, making it crucial for Philips ' growth and innovation. In today's data-centric world, the role of a Data Scientist - II is more relevant than ever. With the increasing reliance on data analytics across industries, professionals in this field are tasked with leveraging complex datasets to drive strategic decisions. The demand for skilled Data Scientist - II jobs is skyrocketing, particularly in technology-driven companies like Philips , where data informs product development and enhances customer experiences. This position will directly influence Philips ' technological offerings, ensuring that the company remains at the forefront of innovation. Philips stands out as a leader in technology, fostering a culture of innovation and collaboration. With a commitment to employee development, Philips provides an environment where aspiring data scientists can thrive. The company's focus on cutting-edge solutions and its investment in research and development make it an exciting workplace for those looking to make a significant impact. Philips ' reputation for excellence is further solidified by its diverse projects that span healthcare, consumer products, and smart technology, making it a prime choice for Data Scientist - II candidates. This opportunity is ideal for both fresh graduates and candidates with up to 5 years of experience . Eligible candidates should possess a Bachelor’s degree in Computer Science, Data Science, AI, Applied Mathematics, Statistics, or equivalent . Additionally, 2023, 2024, 2025, and 2026 graduates are encouraged to apply, especially those who have demonstrated proficiency in key skills such as Python , R , Java , and C/C++ . Candidates with a strong foundation in statistical methods and AI algorithm development will find themselves well-prepared for this role. In this position, you will gain invaluable experience in cloud architecture , production-grade Java development , and Agile workflows . The role emphasizes the importance of data harmonization and automation, providing you with the tools to excel in a rapidly evolving field. As you collaborate with cross-functional teams, you will enhance your problem-solving and communication skills, preparing you for future leadership roles within the organization. NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. If you're ready to take the next step in your career, explore Philips recruitment and apply online for the Data Scientist - II position today! Job Role & Responsibilities The role of a Data Scientist - II at Philips is pivotal in transforming complex datasets into actionable insights that fuel product innovation and enhance user experience. This position requires a blend of technical expertise and collaborative spirit to drive data-driven initiatives across the organization. Analyze complex datasets to derive actionable insights that drive product innovation and enhance user experience at Philips . Utilize programming languages like Python and R to develop predictive models and algorithms that inform strategic decisions. Collaborate with cross-functional teams , including software engineers and product managers, to integrate data solutions into existing systems. Measure and report on the effectiveness of data-driven initiatives , ensuring alignment with business objectives and KPIs. Take ownership of data harmonization projects , ensuring data integrity and accessibility across various platforms. Document methodologies and findings clearly, facilitating knowledge sharing and best practices within the team. Innovate and propose new statistical methods and AI algorithms to solve complex business challenges and improve operational efficiency. Conduct regular data quality assessments to ensure the reliability of datasets used for analysis. Participate in brainstorming sessions to identify new opportunities for leveraging data in product development. This role fosters an ownership culture , encouraging you to take initiative and make impactful contributions that align with Philips ' mission to improve lives through meaningful innovation. Required Skills & Technical Competencies The ideal candidate for the Data Scientist - II position at Philips should possess a robust skill profile that combines technical prowess with analytical thinking. This role demands proficiency in various programming languages and statistical methods to effectively analyze data and derive insights. Technical Skills Python (Advanced) — essential for data manipulation and model development, enabling effective analysis of large datasets. R (Intermediate) — critical for statistical analysis and deriving insights in a data-driven environment. AI Algorithm Development (Intermediate) — necessary for creating robust predictive models that drive business decisions. Statistical Methods (Advanced) — used to validate models and ensure the reliability of insights derived from data. DevOps (Familiarity) — important for streamlining the software development lifecycle and ensuring efficient deployment of data solutions. Data Harmonization (Proficient) — ensures data integrity and accessibility across various platforms. Scripting (Proficient) — automates repetitive tasks, enhancing efficiency in data processing. Automation Tools (Familiarity) — used to improve data workflows and reduce manual intervention. Soft Skills & Professional Competencies Analytical Thinking — vital for interpreting data trends and making informed recommendations. Problem-Solving — ability to tackle complex challenges with innovative solutions. Communication Skills — essential for presenting findings to stakeholders and collaborating with teams. Time Management — critical for meeting project deadlines and managing multiple tasks effectively. Good to Have (Bonus) SQL — knowledge of database management and querying for data extraction. Tableau — experience in data visualization to present insights effectively. Machine Learning Frameworks — familiarity with tools like TensorFlow or PyTorch. To showcase these skills in your resume or interview for the Data Scientist - II role at Philips , highlight relevant projects, emphasize your technical proficiencies, and demonstrate your ability to derive insights from data. Eligibility Criteria This role is designed for candidates who are eager to apply their knowledge in a practical setting and contribute to innovative solutions at Philips . Ideal candidates will possess a solid academic foundation and relevant experience. Candidates must hold a Bachelor’s degree in Computer Science, Data Science, AI, Applied Mathematics, Statistics , or a related field. Eligible batches: 2023, 2024, 2025, and 2026 passouts. Minimum CGPA of 7.0 is preferred, reflecting a solid academic foundation in relevant disciplines. Candidates should have 3-5 years of relevant experience , allowing for a blend of fresh perspectives and practical knowledge. A portfolio or GitHub showcasing relevant projects will strengthen the application, demonstrating practical skills and initiative. Prior internship or hands-on project experience is a strong advantage. Documentation & Portfolio Requirements Prepare a well-structured resume that highlights your academic achievements and relevant projects. Include a GitHub link or portfolio showcasing your work, along with any certifications that validate your skills. Pro Tip: Tailor your application to emphasize your experience with Python and AI algorithms , as these are crucial for the Data Scientist - II role at Philips . Salary & Benefits 💰 Compensation Not Disclosed The compensation philosophy at Philips for the role of Data Scientist - II emphasizes providing a competitive salary that aligns with industry standards, ensuring that employees feel valued and motivated. While specific salary details are not disclosed , the company is committed to offering a comprehensive benefits package that supports both financial and personal well-being. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Retirement Benefits — contributions to Provident Fund and pension plans Performance Bonus — annual bonuses based on individual and company performance Paid Time Off — generous vacation and sick leave policies Flexible Work Arrangements — options for remote work and flexible hours Additional Perks & Benefits Annual Learning Budget — up to ₹25,000 per year for certifications, courses, and conferences Meal Allowances — daily allowances to support healthy eating Transportation Support — assistance for commuting expenses Stock Options — opportunities to invest in the company Mentorship Programs — access to guidance from experienced professionals Career Progression & Salary Growth At Philips , career progression is supported through clear promotion timelines and regular performance appraisals. Employees can expect annual raises typically ranging from 5% to 15% based on performance, with opportunities for internal mobility that encourage rapid career advancement . NexisGrow.com tip: When negotiating your salary, research industry standards and be prepared to discuss your unique skills and experiences that align with the Data Scientist - II role. Selection Process The hiring philosophy at Philips focuses on identifying candidates who not only possess the necessary technical skills but also fit well within the company culture. The selection process is designed to evaluate both problem-solving abilities and teamwork skills essential for the role of Data Scientist - II . 1 Round 1: Initial Screening — Review of applications focusing on relevant experience and skills. 2 Round 2: Technical Interview — Assessment of problem-solving abilities and proficiency in required programming languages. 3 Round 3: Behavioral Interview — Evaluation of cultural fit and teamwork skills within Philips ' collaborative environment. 4 Final Stage: Offer — Offer extended contingent upon successful background checks and reference verification. What Each Round Tests Round 1 focuses on your relevant experience and skills . Round 2 assesses your technical knowledge and problem-solving capabilities. Round 3 evaluates your soft skills and how well you align with Philips ' values. Timeline & Expectations The entire selection process typically takes 4-6 weeks from application submission to final offer. Candidates can expect timely communication from Philips at each stage of the process. Interview Prep Tip: Familiarize yourself with Philips ' core values and be prepared to discuss how your experiences align with their mission. Frequently Asked Questions Interview · Role · Salary · Growth ? What are the eligibility criteria for the Data Scientist - II role at Philips? Eligibility Tap to expand + Answer Candidates must have a Bachelor's degree in relevant fields, be from the specified batches (2023-2026), and possess 3-5 years of experience. ? What is the interview process for Data Scientist - II at Philips? Interview Tap to expand + Answer The process includes an application review, a technical interview focusing on programming skills, and a behavioral interview to assess cultural fit. ? What technologies and tools will I work with? Tech Stack Tap to expand + Answer You will primarily work with Python, R, and Java, alongside tools for data harmonization and automation. ? What is the salary and compensation for this role? Salary Tap to expand + Answer While salary details are not disclosed, Philips offers competitive compensation with opportunities for performance bonuses. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer The role may offer flexible work arrangements, including hybrid options depending on team needs. ? What is the career growth path after joining Philips as Data Scientist - II? Growth Tap to expand + Answer Expect clear growth opportunities within 6-12 months, with potential for promotions and expanded responsibilities in 2-3 years. ? How should I prepare for the Data Scientist - II interview at Philips? Preparation Tap to expand + Answer Focus on your technical skills in Python and R, prepare for problem-solving scenarios, and understand Philips' mission and values. ? How do I apply and what documents are needed? Application Tap to expand + Answer Apply through the official link, ensuring your resume highlights relevant skills and experiences tailored to the role. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Typically, there is a probation period of 3-6 months, during which performance will be evaluated to ensure a good fit. ? What is the work culture like at Philips? Culture Tap to expand + Answer Philips promotes a culture of learning, collaboration, and inclusivity, encouraging employees to innovate and contribute meaningfully. Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com