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Senior Data Scientist
About the Job:
We are seeking a highly skilled and motivated Senior Data Scientist with 10+ years of hands on experience in predictive modelling to join our team. As a Machine Learning Expert, you will play a crucial role in developing and implementing cutting-edge models and algorithms to solve complex problems and generate high-quality outputs. You will collaborate with a multidisciplinary team of product owners, planners, engineers, and data scientists to explore innovative applications of generative AI across various domains.
Job Responsibilities:
Analyzes multifaceted and high-dimensional data problems, developing innovative solutions, formulating sophisticated hypotheses, creating advanced proof of concepts to validate & refine analytical models and implement solutions to business problems.
Participates in end-to-end data mining projects, utilizing advanced algorithms, machine learning models, and AI techniques to extract deep and actionable insights from complex, large-scale data sources.
Executes the deployment and rigorous testing of data science solutions and insights, ensuring optimal performance, scalability, and seamless integration with existing enterprise systems and workflows.
Presents complex data-driven insights and strategic recommendations to senior stakeholders, effectively translating intricate analytical results into clear, actionable business strategies and influencing key decision-making processes.
Monitors, maintains, and continuously improves the performance of deployed models, conducting regular reviews, updates, and optimizations to ensure sustained accuracy, relevance, and business impact.
Interacts and collaborates with cross-functional teams, including IT, data engineering, and various business units, to ensure the successful operationalization, integration, and scaling of data science solutions across the finance function.
Build data-science and technology based algorithmic solutions to address business needs
Design large scale models using Regression, Linear Models Family, Time-series models.
Drive the collection of new data and the refinement of existing data sources
Analyze and interpret the results of analytics experiments
Applies a global approach to analytical solutions-both within a business area and across the enterprise
Ability to use data for Exploratory, descriptive, Inferential, Prescriptive, and Advanced Analytics
Ability to share dashboards, reports, and Analytical insights from data
Experience of having done visualization on large datasets – Preferred – added advantage Technical Knowledge and Skills required
Experience solving analytical problems using quantitative approaches
Passion for empirical research and for answering hard questions with data
Ability to manipulate and analyze complex, high-volume, high-dimensionality data from varying sources
Ability to apply a flexible analytic approach that allows for results at varying levels of precision
Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
Expert knowledge of an analysis tool such as Pyspark and Python.
Bachelor's / Master's Degree in Computer Science, Econometrics, Artificial Intelligence, Applied Mathematics, Statistics or equivalent.
Minimum 10 years of experience with Bachelor's in areas such as Data Analytics, Data Science, Data Mining, Artificial Intelligence, Pattern Recognition or equivalent OR no prior experience required with Master's Degree.
• Data Analysis & Interpretation
• Data Governance
• Statistical Methods
• Statistical Programming Software
• Business Intelligence Tools
• Data Mining
• Machine Learning Engineering Fundamentals
• Research & Analysis
• Requirements Analysis
• Root Cause Analysis (RCA)
• Data Quality Management Systems
• Regulatory Compliance
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.
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Your role:
In your role, you will be responsible to develop and deliver automation projects using various latest technologies especially with power platform.
Design, automation, and improvement of dynamic, self-refresh management reporting solutions (Excel, SQL) and manage business demand with development capacity
Works together with IT Platform Analyst, Product Owner, Data Specialists and 3rd parties (vendor) in the scrum teams to develop & maintain IT solutions & services
Experience building with Dynamics 365 and/or Power Platform, including but not limited to: Power Apps, Power Automate, Power BI.
Experience in coding in languages JavaScript, Python, .Net.
You're the right fit if:
Minimum of 5+ years of experience in agile software development, with at least 3 years of hands-on experience with Microsoft Power Platform development.
Proficiency in creating canvas and model-driven Power Apps, and designing Power Automate workflows, building Power BI reports and dashboards.
Strong understanding of Dataverse data modelling concepts and experience with customizing entities, fields, and relationships.
Coding Experience in Python/ .Net/ Java Script.
Experience with Azure services, Co-pilot, Microsoft AI and cloud-based development.
Knowledge in excel Macros , VBA/VBS, is good to have.
Microsoft certifications in Power Platform (such as Power Platform App Maker or Power Platform Functional Consultant) will complement the role.
Design, automation, and improvement of dynamic, self-refresh management reporting solutions (Excel, SQL) and manage business demand with development capacity
Having good experience in data Modeling and reporting
Strong communication and interpersonal skills, with the ability to effectively interact with clients and internal stakeholders.
This is an office role.
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.
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The incumbent would also be required to develop thorough understanding of Account’s objectives of selling profitably and ensure the same while still delivering business results and living upto the platform expectations of faster rotations and healthy ROIs while still delivering higher than category growth for Philips.
Your responsibilities
Handles select Key Accounts nationally
Owner of Account JBP – Revenue Target sell-in, sell out, Market share objectives, Key building blocks for the plan
Sales Budgeting – Sales Forecasting for key accounts
Assortment and distribution planning – NPI listing and distribution in line with category objectives
Shopper Activation & Category Management – Promotion and Shopper Activation planning, Category Development & Advisory with Key Strategic Accounts
Service Efficiency – Ensure fill rates of 85%+ for key SKUs, Upkeep of Product masters, On-shelf availability of Must stock SKUs
Assortment & Distribution – NPI listing & distribution, Joint Ownership of Category Planograms in-line with CDT
Commercial – Account reconciliation, Manage Receivables
Sales Planning – Ownership of Account’s POS and purchase plans and input the same into BUP
Achieve revenue target for geography
Responsible for execution of Shopper Activation & Category Management programs
Develop people to take next level responsibility
To succeed in this role, you should have the following skills and experience
MBA – with a specialization in Sales and Marketing from a premier institute
5+years of experience of relevant exShould have handled National Key Accounts of similar scale in other organizations
Strong People Management skills
Good interpersonal and communication skills
Task Orientation
Organized and able to manage multiple priorities effectively
You're the right fit if:(4 x bullets max)
MBA – with a specialization in Sales and Marketing from a premier institute
5+years of experience of relevant exShould have handled National Key Accounts of similar scale in other organizations
Strong People Management skills
Good interpersonal and communication skills
Task Orientation
Organized and able to manage multiple priorities effectively
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.
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• Discover .
• Learn more about .
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• Discover .
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You are responsible for
To succeed in this role, you should have the following skills and experience
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Your role:
As a Data Engineer Expert, you will be instrumental in designing, developing and maintaining robust data pipelines and systems to support patient safety and quality activities. You will work primarily with product and post market surveillance data, utilizing Azure and Databricks to ensure that we can monitor the performance of devices while meeting regulatory requirements.
Design, Build, and Maintain Data Pipelines : Develop and maintain scalable, reliable, and efficient ETL (Extract, Transform, Load) pipelines using Azure tools and Databricks to handle large datasets from medical devices in the field.
Data Integration : Integrate data from various sources (e.g., medical devices, regulatory systems, clinical databases) into centralized data lakes or data warehouses using Azure Data Factory, Databricks, and other relevant tools.
Collaborate and work with Cross-Functional Teams : Work closely with clinical, regulatory, and quality assurance teams to ensure that data collected meets regulatory requirements (e.g., FDA, ISO 13485, MDR) and supports post-market surveillance activities.
Data Security and Compliance : Ensure all data systems comply with industry regulations and data privacy standards.
Continuous Improvement: Stay up-to-date with the latest advancements in data engineering, cloud technologies (specifically Azure), and medical device industry trends, and proactively suggest improvements to existing systems.
You're the Right Fit If You Have:
A Master’s degree in Computer Science, Data Science, or a related field.
A Minimum of 6-7 years of experience as a Data Engineer or in a related role, with a focus on data integration, ETL processes, and database management.
Strong proficiency in Python and SQL, with hands-on experience in writing complex SQL queries and Python scripts for data processing.- MANDATORY
Experience with Azure cloud services, including Azure Data Factory, Azure SQL Database, Azure Data lake and Databricks.
Our hybrid working model is defined in 3 ways:
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About the Organization
Rated amongst the Top 50 Great Places to Work, Philips Healthcare in India operates in the medical equipment and diagnostic imaging segment including CT, MRI, X‐rays, cardiovascular system, nuclear medicine, PET‐CT, ultrasound, Patient monitoring systems, critical care and Healthcare informatics space.
India healthcare business is spread into 28 states in India and 7 union territories. Operations for neighboring countries of Nepal / Bangladesh and Sri Lanka are also covered from here. The organization is divided into 5 regions – North, East, West , Deccan and South and have sales / service/ projects teams based in the regions. We are operating in a fast changing technology space with new product introductions happening regularly to keep pace with changing competition landscape
Job Title : Clinical application Manager - Ultrasound
Reporting to : CAS Leader
Responsibilities:
Educational Qualification:
Experience:
Behavioral Competencies:
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Responsibilities
Technical Knowledge and Skills required
Analytics solution life cycle competencies required
Soft Skills Required
Work Experience
Academics
Indicate if this role is an office/field/onsite role.
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 .
• Discover .
• Learn more about .
These jobs might be a good fit

Senior Data Scientist
About the Job:
We are seeking a highly skilled and motivated Senior Data Scientist with 10+ years of hands on experience in predictive modelling to join our team. As a Machine Learning Expert, you will play a crucial role in developing and implementing cutting-edge models and algorithms to solve complex problems and generate high-quality outputs. You will collaborate with a multidisciplinary team of product owners, planners, engineers, and data scientists to explore innovative applications of generative AI across various domains.
Job Responsibilities:
Analyzes multifaceted and high-dimensional data problems, developing innovative solutions, formulating sophisticated hypotheses, creating advanced proof of concepts to validate & refine analytical models and implement solutions to business problems.
Participates in end-to-end data mining projects, utilizing advanced algorithms, machine learning models, and AI techniques to extract deep and actionable insights from complex, large-scale data sources.
Executes the deployment and rigorous testing of data science solutions and insights, ensuring optimal performance, scalability, and seamless integration with existing enterprise systems and workflows.
Presents complex data-driven insights and strategic recommendations to senior stakeholders, effectively translating intricate analytical results into clear, actionable business strategies and influencing key decision-making processes.
Monitors, maintains, and continuously improves the performance of deployed models, conducting regular reviews, updates, and optimizations to ensure sustained accuracy, relevance, and business impact.
Interacts and collaborates with cross-functional teams, including IT, data engineering, and various business units, to ensure the successful operationalization, integration, and scaling of data science solutions across the finance function.
Build data-science and technology based algorithmic solutions to address business needs
Design large scale models using Regression, Linear Models Family, Time-series models.
Drive the collection of new data and the refinement of existing data sources
Analyze and interpret the results of analytics experiments
Applies a global approach to analytical solutions-both within a business area and across the enterprise
Ability to use data for Exploratory, descriptive, Inferential, Prescriptive, and Advanced Analytics
Ability to share dashboards, reports, and Analytical insights from data
Experience of having done visualization on large datasets – Preferred – added advantage Technical Knowledge and Skills required
Experience solving analytical problems using quantitative approaches
Passion for empirical research and for answering hard questions with data
Ability to manipulate and analyze complex, high-volume, high-dimensionality data from varying sources
Ability to apply a flexible analytic approach that allows for results at varying levels of precision
Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
Expert knowledge of an analysis tool such as Pyspark and Python.
Bachelor's / Master's Degree in Computer Science, Econometrics, Artificial Intelligence, Applied Mathematics, Statistics or equivalent.
Minimum 10 years of experience with Bachelor's in areas such as Data Analytics, Data Science, Data Mining, Artificial Intelligence, Pattern Recognition or equivalent OR no prior experience required with Master's Degree.
• Data Analysis & Interpretation
• Data Governance
• Statistical Methods
• Statistical Programming Software
• Business Intelligence Tools
• Data Mining
• Machine Learning Engineering Fundamentals
• Research & Analysis
• Requirements Analysis
• Root Cause Analysis (RCA)
• Data Quality Management Systems
• Regulatory Compliance
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 .
• Discover .
• Learn more about .
These jobs might be a good fit