Senior Data Scientist - Performance Analytics

Philips International; Bengaluru; On-site; INR 2,400,000 - 3,600,000; Full time

Job summary

Philips Bengaluru seeks a Data Scientist - Performance Analytics to drive analytics products, dashboards and AI-enabled decision support, enabling faster and better business decisions.

You will work with cross-functional teams, apply ML methods, build data pipelines using Python/SQL, and deploy analytics solutions following governance standards.

4–7 years of experience in data science or analytics is preferred, with expertise in Power BI or Qlik and cloud platforms.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science or related quantitative field.
• 4–7 years of relevant experience in data science or analytics.
• Experience translating business questions into analytical solutions and clear recommendations.
• Experience building dashboards and data products for business users.
• Proficiency in Python and SQL; knowledge of ML methods and evaluation.

Responsibilities

• Translate business priorities into analytical requirements and success measures.
• Analyze performance metrics, revenue, margin, and operational data to inform decisions.
• Develop and deploy dashboards and analytical products with diagnostics and alerts.
• Collaborate with data engineers, IT and business teams to ensure trusted datasets.

Skills

Python

SQL

Power BI

Machine Learning

Data Visualization

Education

Bachelor's degree in Computer Science

Master's degree in Data Science

Tools

Power BI

Qlik

Job description

Job Title

Data Scientist - Performance Analytics

Your role

The Senior Data Scientist - Performance Analytics combines hands‑on data science, analytics-product development and commercial understanding to help Philips monitor, explain and predict business performance. The role partners with assigned Business, Regional or Functional teams and owns defined analytics workstreams from problem framing and data preparation through deployment and adoption. Working within established architecture and governance standards, the role develops trusted dashboards, predictive models and AI-enabled decision‑support tools that improve the speed and quality of business decisions.

Job Responsibilities

1. Performance Analytics and Business Partnering
   • Translate business priorities and performance questions into clear analytical requirements and success measures.
   • Analyze market share, sell‑in, sell‑out, revenue, margin, customer, channel, portfolio and operational performance.
   • Identify drivers, risks and opportunities, and communicate findings through concise narratives and practical recommendations.
   • Support business reviews, planning cycles and performance‑management processes with evidence‑based insights.
2. Data Foundations and Analytics Products
   • Prepare, integrate and validate data from approved internal and external sources using Python, SQL and enterprise data platforms.
   • Collaborate with Data Engineering, IT and business teams to improve trusted datasets in ADL and related environments.
   • Build and enhance dashboards and analytical products with diagnostics, alerts, benchmarks and decision‑support features.
   • Document data sources, business rules, calculations, assumptions and known limitations.
3. Advanced Analytics and AI
   • Apply statistical and machine‑learning methods, including regression, classification, clustering, forecasting and anomaly detection.
   • Develop, validate and monitor models for accuracy, stability, explainability and business relevance.
   • Contribute to AI‑enabled solutions such as automated commentary, conversational analytics, retrieval‑based tools and analytical agents.
   • Follow Philips standards for responsible AI, security, privacy and model controls.
4. Deployment and Engineering
   • Work with Lead Data Scientists, data engineers, IT and platform teams to productionize analytical solutions.
   • Write clean, modular and reusable code using version control, testing and peer‑review practices.
   • Support user acceptance testing, deployment, monitoring and resolution of data or technical issues.
   • Contribute reusable components and improvements to shared analytical methods and frameworks.
5. Adoption and Knowledge Sharing
   • Drive adoption through demonstrations, training, user documentation and regular stakeholder engagement.
   • Gather user feedback and translate it into product improvements.
   • Share methods, code and lessons with the analytics community, and coach junior colleagues where appropriate.

Success Measures

• Timely and high‑quality delivery of assigned analytics products and workstreams.
• Accuracy, reliability and business relevance of analytical and AI outputs.
• Adoption and active use of dashboards, models and AI‑enabled tools.
• Reduction in manual analysis, repetitive reporting and duplicated solutions.
• Measurable contribution to faster, higher‑quality business decisions and outcomes.
• Compliance with data, technology and responsible‑AI standards, supported by effective cross‑functional collaboration.

You're the right fit if

• Experience
• Approximately 4-7 years of relevant experience in data science, advanced analytics, commercial analytics, business intelligence or a related discipline.
• Experience translating business questions into structured analytical solutions and clear recommendations.
• Experience developing and deploying dashboards, predictive models, data products, automated insights or AI‑enabled tools.
• Experience working with complex datasets and cross‑functional, matrixed or multi‑market stakeholders.

Technical and Analytical Skills

• Strong proficiency in Python and SQL, with practical experience in data preparation, exploratory analysis and statistical modelling.
• Working knowledge of machine‑learning methods and model evaluation.
• Experience with a business‑intelligence or visualization platform such as Power BI or Qlik.
• Familiarity with cloud data platforms, data lakes or enterprise analytics environments such as ADL.
• Working knowledge of version control, testing, documentation and reproducible analytical‑development practices.
• Basic understanding of generative AI, large language models, retrieval‑based solutions and responsible‑AI principles.

Business and Partnering Skills

• Sound commercial and financial understanding, supported by strong problem‑solving and root‑cause‑analysis skills.
• Ability to connect analytical findings with business performance and practical management actions.
• Ability to communicate complex technical concepts clearly to non‑technical stakeholders.
• Ability to independently manage a defined analytics workstream and collaborate across Business, Analytics, IT, Finance and Data Engineering teams.

Minimum Required Education

Bachelor's or Master's degree in Computer Science, Data Science, Econometrics, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, Business Analytics or a related quantitative discipline. Equivalent practical experience may also be considered.

Preferred Experience

• Experience in commercial, sales, marketing, finance, customer, pricing or market‑performance analytics.
• Experience with Azure, Databricks, ADL or comparable cloud data platforms.
• Exposure to production machine learning, MLOps, generative‑AI applications or analytical agents.
• Experience in a global consumer, healthcare, retail, technology or manufacturing organization.

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.

About Philips

Are you ready to do the work of your life to help the lives of others? Learn more about our business, discover our rich and exciting history and learn more about our purpose. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care. At Philips, we believe that every human matters. As a global health‑tech leader, we focus on improving people’s health and wellbeing through meaningful innovation. The people who work here share our passion and are motivated to bring this purpose to life. For more than 130 years, we have been creating technologies and innovations that improve people’s lives and support healthcare practitioners. Headquartered in the Netherlands and operating in more than 100 countries globally, we focus our advanced technology and deep clinical and consumer insights on Precision Diagnosis, Image Guided Therapy, Enterprise Informatics, Monitoring/ Connected Care, Sleep & Respiratory Care and Personal Health. Together, we deliver better care for more people because we believe that every human matters. That's why we're taking steps to create an environment where we acknowledge and embrace our differences and uniqueness and listen to and value each other’s views. When people feel cared for and listened to, they bring their best qualities to work, leading to better collaboration, communication, innovation and success.

It is the policy of Philips to provide equal employment and advancement opportunities to all qualified employees and applicants for employment without regard to race, color, religion, sex, pregnancy/childbirth or related medical conditions, age, ethnic or national origin, sexual orientation, gender identity or expression, physical or mental disability, genetic information, citizenship status, veteran or military status, marital or domestic partner status or any other characterit…ity protected by law.

As an equal opportunity employer, Philips is committed to fostering a culture where all are treated with respect and professionalism.

To ensure reasonable accommodations for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veterans' Readjustment Act of 1974 and Title I of the Americans with Disabilities Act of 1990, applicants that require accommodation in the job application process may contact 888-367-7223, option 5, for assistance.

Philips is an Equal Employment and Opportunity Employer including Disability/Vets and maintains a drug‑free workplace. Know Your Rights