8 Ml Modeling Jobs

We are a technology-led healthcare solutions provider with a purpose to enable healthcare organizations to be future-ready. We offer accelerated global growth opportunities for individuals who are bold, industrious, and nimble. At Indegene, you will experience a unique career journey that celebrates entrepreneurship and is guided by passion, innovation, collaboration, and empathy. If you are interested in exploring exciting opportunities at the convergence of healthcare and technology, visit www.careers.indegene.com. If you are seeking an exciting role in an entrepreneurial organization without the usual risks associated with it, then this opportunity is for you. We understand your desire for growth and variety in your career and invite you to join us in our journey of growth. At Indegene, our roles offer the excitement you seek at this stage of your career along with the reliability you desire. We hire the best talent and trust them to make a global impact from day one, handle teams, and take responsibility for outcomes while being supported and mentored by our leaders. As a profitable and rapidly growing global organization, we are currently seeking top talent to join us in this phase of growth. Working with us will place you at the intersection of two dynamic industries - healthcare and technology. You will have access to global opportunities for fast-track careers while collaborating with a purpose-driven team. This unique combination promises a truly differentiated experience for you. Role: Senior Analyst - Data Science We are in search of a results-driven and hands-on Lead Data Scientist/Analyst with 5-6 years of experience to lead analytical solutioning and model development in the pharmaceutical commercial analytics domain. The ideal candidate will play a pivotal role in designing and deploying Decision Engine frameworks, implementing advanced analytics solutions, and mentoring junior team members. Key Responsibilities: - Collaborate with cross-functional teams and client stakeholders to gather business requirements and translate them into robust ML/analytical solutions. - Design and implement Decision Engine workflows to support Next Best Action (NBA) recommendations in omnichannel engagement strategies. - Analyze large and complex datasets from sources like APLD, sales, CRM, call plans, market share, patient claims, and segmentation data. - Conduct ad hoc and deep-dive analyses to address critical business questions across commercial and medical teams. - Develop, validate, and maintain predictive models for use cases such as patient journey analytics, HCP targeting, sales forecasting, risk scoring, and marketing mix modeling. - Implement MLOps pipelines using Dataiku, Git, and AWS services to support scalable and repeatable deployment of analytics models. - Ensure data quality through systematic QC checks, test case creation, and validation frameworks. - Lead and mentor junior analysts and data scientists in coding best practices, feature engineering, model interpretability, and cloud-based workflows. - Stay updated with industry trends, regulatory compliance, and emerging data science techniques relevant to life sciences analytics. Must Have: - 5 years of hands-on experience in pharmaceutical commercial analytics, including exposure to cross-functional brand analytics, omnichannel measurement, and ML modeling. - Minimum of 3 years of experience in developing and deploying predictive models and ML pipelines in real-world settings. - Proficiency in data platforms such as Snowflake, Dataiku, AWS, and expertise in PySpark, Python, and SQL. - Experience with MLOps practices, including version control, model monitoring, and automation. - Strong understanding of pharmaceutical data assets (e.g., APLD, DDD, NBRx, TRx, specialty pharmacy, CRM, digital engagement). - Proficiency in ML algorithms (e.g., XGBoost, Random Forest, SVM, Logistic Regression, Neural Networks, NLP). - Expertise in key use cases: Next Best Action, Recommendation Engines, Attribution Models, Segmentation, Marketing ROI, Collaborative Filtering. - Hands-on experience in building explainable ML models and using tools for model monitoring and retraining. - Familiarity with dashboarding tools like Tableau or PowerBI is a plus. - Excellent communication and documentation skills to effectively convey findings to both technical and non-technical audiences. - Ability to work in a dynamic, fast-paced environment and deliver results under tight timelines. EQUAL OPPORTUNITY Location: Bangalore, KA, IN If this opportunity excites you, please apply below.,

At PwC, our focus in data and analytics is on leveraging data to drive insights and make informed business decisions. We utilize advanced analytics techniques to help clients optimize their operations and achieve strategic goals. In the field of data analysis at PwC, you will be tasked with utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Your role will involve leveraging skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. Driven by curiosity, you are expected to be a reliable and contributing member of a team. In our fast-paced environment, you must be adaptable to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is viewed as an opportunity for learning and growth. You are expected to take ownership and consistently deliver quality work that drives value for our clients and contributes to the success of the team. As you progress within the Firm, you will build a brand for yourself, opening doors to more opportunities. Examples of the skills, knowledge, and experiences required to lead and deliver value at this level include but are not limited to: - Applying a learning mindset and taking ownership for your own development. - Appreciating diverse perspectives, needs, and feelings of others. - Adopting habits to sustain high performance and develop your potential. - Actively listening, asking questions to check understanding, and clearly expressing ideas. - Seeking, reflecting, acting on, and giving feedback. - Gathering information from a range of sources to analyze facts and discern patterns. - Committing to understanding how the business works and building commercial awareness. - Learning and applying professional and technical standards, upholding the Firm's code of conduct and independence requirements. Position: Senior Associate Domain: Data Science Conversational AI About Acceleration Center Mumbai/Bangalore: PwC connects people with diverse backgrounds and skill sets to solve important problems together and lead with purpose for clients, communities, and the world at large. Acceleration Centers (ACs) are diverse, global talent hubs focused on enabling growth for the organization and value creation for clients. The PwC Advisory Acceleration Center in Bangalore is part of our Advisory business in the US, focusing on developing a broader portfolio with solutions for Risk Consulting, Management Consulting, Technology Consulting, Strategy Consulting, Forensics, and vertical-specific solutions. PwC's high-performance culture is based on a passion for excellence with a focus on diversity and inclusion. Collaboration and support from a network of people are provided to help achieve goals, along with global leadership development frameworks and the latest digital technologies to facilitate learning and career advancement. The firm's philosophy revolves around caring for its people, making PwC one of the most attractive employers globally according to Universum. Commitment to Responsible Business Leadership, Diversity & Inclusion, work-life flexibility, career coaching, and learning & development contribute to making PwC one of the best places to work, learn, and excel. We are seeking an experienced senior associate with a strong analytical and Conversational AI background (minimum 4 years of overall professional experience) to join our Digital Contact Solutions team within the Analytics Consulting practice. Senior Associates will work as integral parts of business analytics teams in India, collaborating with clients and consultants in the U.S., leading teams for high-end analytics consulting engagements, and providing business recommendations to project teams. Education: Advanced Degree in a quantitative discipline such as Computer Science, Engineering, Econometrics, Statistics, or Information Sciences like business analytics or informatics. Required Skills include: - Familiarity with the Conversational AI domain, conversational design & implementation, customer experience metrics, and industry-specific challenges. - Understanding of conversational (chats, emails, and calls) data and its preprocessing for training Conversational AI systems. - Strong problem-solving and analytical skills for troubleshooting and optimizing conversational AI systems. - Familiarity with NLP/NLG techniques such as parts of speech tagging, lemmatization, canonicalization, Word2vec, sentiment analysis, topic modeling, and text classification. - Expertise in NLP and NLU verticals, including Text to Speech (TTS), Speech to Text (STT), SSML modeling, Intent Analytics, Proactive Outreach Orchestration, OmniChannel AI & IVR, Intelligent Agent Assist, Contact Center as a Service (CCaaS), Modern Data for Conversational AI, and Generative AI. - Experience building chatbots using frameworks like RASA, LUIS, DialogFlow, Lex, etc., and building NLU model pipelines using feature extraction, entity extraction, intent classification, etc. - Understanding and experience with cloud platforms and their services for building Conversational AI solutions for clients. - Expertise in Python, PySpark, R, JavaScript frameworks, and visualization tools like Power BI, Tableau, Qlikview, Spotfire. - Experience in evaluating and improving conversational AI system performance through metrics and user feedback. - Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders. - Proven track record of successfully delivering conversational AI projects on time. - Familiarity with Agile development methodologies and version control systems. - Ability to stay updated with the latest advancements and trends in conversational AI technologies. - Strong strategic thinking and ability to align conversational AI initiatives with business goals. - Knowledge of regulatory and compliance requirements related to conversational AI applications. - Experience in the telecom industry or a similar field. - Familiarity with customer service operations and CRM systems. Nice To Have skills: - Familiarity with data wrangling tools such as Alteryx, Excel, and Relational storage. - ML modeling skills: Experience in statistical techniques like Regression, Time Series Forecasting, Classification, XGB, Clustering, Neural Networks, Simulation Modelling, etc. - Experience in survey analytics, organizational functions such as pricing, sales, marketing, operations, customer insights, etc. - Understanding of NoSQL databases for handling unstructured and semi-structured data. Roles and Responsibilities: As an Associate, you will be involved in the end-to-end project cycle, developing proposals to delivering the final product. You will support PwC leadership and lead client conversations to build suitable products. Specific responsibilities include: - Developing and executing project & analysis plans under the guidance of the project manager. - Translating business needs into data science solutions and actionable insights. - Handling client interactions regarding business problems. - Driving and conducting analysis using advanced analytics tools, coaching junior team members. - Writing and deploying production-ready code. - Building storylines and making presentations for client teams and PwC project leadership teams. - Contributing to knowledge and firm-building activities. What We Offer: - Policies around Work-from-Home and flexible working hours. - Mid-year appraisal cycle to reward performance on time. - Opportunities to solve impactful problems for clients. - Continuous learning and upskilling opportunities. - Access to Massive Online Open Courses (MOOC) at no cost. - World-class leadership guidance. - Diverse peer group support. - Interaction with senior client leadership, potential client visits, and permanent relocations as needed.,

At PwC, our team members in data and analytics are dedicated to utilizing data to drive insights and facilitate informed business decisions. Using advanced analytics techniques, we assist clients in optimizing their operations and achieving strategic goals. As a data analyst at PwC, your primary focus will be on employing advanced analytical methods to extract insights from extensive datasets and promote data-driven decision-making. Your role will involve leveraging expertise in data manipulation, visualization, and statistical modeling to aid clients in solving complex business challenges. Fueled by curiosity, you are a dependable and collaborative team member. In our dynamic work environment, you are expected to adapt to collaborating with diverse clients and team members, each presenting unique challenges and opportunities for growth. Every encounter serves as a chance to enhance your skills and knowledge. It is essential to take ownership, consistently deliver high-quality work that adds value for our clients, and contributes to the success of the team. As you progress within the Firm, you will establish a strong professional reputation, creating pathways for further career opportunities. In the domain of Data Science, specifically Conversational AI, we are seeking an experienced Senior Associate with a solid analytical background and a minimum of 4 years of professional experience. As part of the Digital Contact Solutions team within the Analytics Consulting practice, Senior Associates will collaborate with business analytics teams in India and work closely with clients and consultants in the U.S. This role involves leading teams in high-end analytics consulting engagements and providing strategic recommendations to project teams. To excel in this position, you will need an advanced degree in a quantitative discipline such as Computer Science, Engineering, Econometrics, Statistics, or Information Sciences specializing in business analytics or informatics. Key skills required for this role include familiarity with Conversational AI domain, NLP/NLU techniques, experience in building chatbots, proficiency in cloud platforms, expertise in Python or PySpark, visualization tools, and strong problem-solving abilities. As a Senior Associate, your responsibilities will encompass developing and executing project plans, translating business needs into data science solutions, client interaction, conducting analysis using advanced analytics tools, mentoring junior team members, writing production-ready code, creating presentations, and contributing to firm-building activities. At PwC, we prioritize the well-being of our employees and offer flexible work arrangements including Work-from-Home options and flexible working hours. We conduct mid-year appraisal cycles, provide opportunities to work on impactful client problems, offer continuous learning and upskilling opportunities, access to Massive Online Open Courses (MOOC) at no cost, guidance from world-class leadership, interaction with senior client leadership, and a diverse peer group for support throughout your journey.,

At PwC, our focus in data and analytics is on leveraging data to drive insights and make informed business decisions. We utilize advanced analytics techniques to assist clients in optimizing their operations and achieving their strategic goals. In the realm of data analysis at PwC, your main role will involve utilizing advanced analytical techniques to extract insights from large datasets and facilitate data-driven decision-making. Your expertise in data manipulation, visualization, and statistical modeling will be crucial in supporting clients to solve complex business problems effectively. Driven by curiosity, you are a reliable and contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a diverse set of clients and team members, each presenting unique challenges and opportunities for growth. Taking ownership and consistently delivering quality work that adds value for our clients and contributes to team success are key expectations. As you progress within the firm, you have the opportunity to build a strong personal brand, creating pathways for further professional growth. Examples of the skills, knowledge, and experiences required to excel in this role include: - Applying a learning mindset and taking ownership of your own development. - Appreciating diverse perspectives, needs, and feelings of others. - Developing habits to sustain high performance and unlock your potential. - Actively listening, asking questions for clarification, and effectively expressing ideas. - Seeking, reflecting upon, acting on, and providing feedback. - Gathering information from various sources to analyze facts and identify patterns. - Committing to understanding how businesses operate and building commercial awareness. - Learning and applying professional and technical standards while upholding the firm's code of conduct and independence requirements. Position: Senior Associate Domain: Data Science - Conversational AI About Acceleration Center Mumbai/Bangalore: The Acceleration Centers at PwC serve as diverse, global talent hubs dedicated to driving growth for the organization and creating value for clients. The PwC Advisory Acceleration Center in Bangalore is an integral part of the Advisory business in the US, focusing on developing a wide range of solutions across Risk Consulting, Management Consulting, Technology Consulting, Strategy Consulting, Forensics, and vertical-specific solutions. PwC's high-performance culture, centered on excellence and diversity, provides a supportive environment for collaboration and growth. By collaborating with a network of people and leveraging global leadership development frameworks and digital technologies, you will have the opportunity to learn and excel in your career. The firm's commitment to Responsible Business Leadership, Diversity & Inclusion, work-life flexibility, career coaching, and learning & development establishes it as one of the most desirable workplaces. We are seeking an experienced senior associate with a strong analytical background and expertise in Conversational AI (with over 4 years of professional experience) to join our Digital Contact Solutions team within the Analytics Consulting practice. As a Senior Associate, you will work closely with business analytics teams in India, collaborating with clients and consultants in the U.S. to lead high-end analytics consulting engagements and provide valuable business recommendations to project teams. Education: Advanced Degree in a quantitative discipline such as Computer Science, Engineering, Econometrics, Statistics, or Information Sciences focusing on business analytics or informatics. Required Skills: - Proficiency in the Conversational AI domain, conversational design & implementation, customer experience metrics, and industry-specific challenges. - Understanding of conversational (chats, emails, and calls) data and its preprocessing for training Conversational AI systems. - Strong problem-solving and analytical skills for troubleshooting and optimizing conversational AI systems. - Familiarity with NLP/NLG techniques such as parts of speech tagging, lemmatization, Word2vec, sentiment analysis, and text classification. - Expertise in NLP and NLU verticals including Text to Speech (TTS), Speech to Text (STT), SSML modeling, Intent Analytics, Proactive Outreach Orchestration, OmniChannel AI & IVR, Intelligent Agent Assist, Contact Center as a Service (CCaaS), Modern Data for Conversational AI, and Generative AI. - Experience in building chatbots using bot frameworks like RASA/ LUIS/ DialogFlow/Lex and developing NLU model pipelines. - Proficiency in cloud platforms (e.g., AWS, Azure, Google Cloud) and services for building Conversational AI solutions. - Expertise in Python or PySpark, R, and JavaScript frameworks. - Proficiency in visualization tools such as Power BI, Tableau, Qlikview, Spotfire. - Experience in evaluating and enhancing conversational AI system performance through metrics and user feedback. - Excellent communication and collaboration skills for working effectively with cross-functional teams and stakeholders. - Track record of successfully delivering conversational AI projects on time. - Familiarity with Agile development methodologies and version control systems. - Ability to stay updated with the latest trends in conversational AI technologies. - Strong strategic thinking and alignment of conversational AI initiatives with business goals. - Knowledge of regulatory and compliance requirements related to conversational AI applications. - Experience in the telecom industry or similar fields. - Understanding of customer service operations and CRM systems. Nice To Have: - Familiarity with data wrangling tools such as Alteryx, Excel, and Relational storage (SQL). - ML modeling skills including Regression, Time Series Forecasting, Classification, XGB, Clustering, Neural Networks, Simulation Modeling, etc. - Experience in survey analytics and organizational functions like pricing, sales, marketing, operations, customer insights, etc. - Understanding of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured and semi-structured data. Roles and Responsibilities: As a Senior Associate, your responsibilities will include participating in the end-to-end project cycle from developing proposals to delivering the final product. Apart from supporting PwC leadership, you will also lead client conversations to develop suitable products. Specific responsibilities entail: - Developing and executing project & analysis plans under the guidance of the project manager. - Translating business needs into data science solutions and actionable insights. - Handling client interactions on business problems to be resolved. - Conducting analysis using advanced analytics tools and mentoring junior team members. - Writing and deploying production-ready code. - Creating presentations for client teams and PwC project leadership. - Contributing to knowledge and firm-building activities. What We Offer: At PwC, we prioritize the mental & physical well-being of our people and acknowledge the importance of flexibility, especially in challenging times. Our policies around Work-from-Home and flexible working hours aim to support our employees. Additionally, we provide: - Mid-year appraisal cycle to recognize performance in a timely manner. - Opportunities to address impactful client problems with long-lasting implications. - Continuous learning and upskilling opportunities through access to Massive Online Open Courses (MOOC) at no cost. - World-class leadership guidance to enhance expertise across various functions. - A diverse peer group for support throughout your journey. - Interaction with senior client leadership and potential visits to client locations for meaningful engagements.,

Senior AI & ML Platform Engineer Location: Bengaluru Experience Level: 3 to 10 Years About the Role We are building next-generation AI-powered platforms that leverage Large Language Models (LLMs), advanced Machine Learning (ML), NLP, and agentic workflows to automate critical business processes across multiple domains. We are looking for experienced AI/ML Engineers who are passionate about building real-world AI productsnot just experimenting. You will help design, prototype, and deploy intelligent systems integrating LLMs, agents, APIs, and robust ML models for classification, prediction, and optimization. Responsibilities Build and integrate agentic AI workflows using LangChain or similar frameworks. Develop APIs and backend services to support LLM and ML-driven platforms. Implement, train, and optimize lightweight and scalable ML models for classification, prediction, and anomaly detection. Work with LLMs (OpenAI, Claude, Gemini) to fine-tune prompts, create retrieval-augmented generation (RAG) systems, and chain multi-step tasks. Design and optimize vector search implementations for LLM-driven applications. Integrate AI models with external systems (VMS platforms, ERP systems) using APIs. Implement document processing pipelines combining OCR with LLM/ML validation. Apply ML techniques for supply-demand forecasting, fraud detection, and optimization. Participate in design discussions, brainstorming sessions, and agile sprints. Collaborate with senior AI architects and SMEs to refine platform capabilities. Required Skills Strong experience in Python for ML and AI development. Expertise in ML frameworks such as TensorFlow, PyTorch, scikit-learn. Knowledge of NLP tasks (text extraction, classification, summarization). Experience building and optimizing RAG workflows with vector databases. Solid understanding of API development (FastAPI, Flask, or similar frameworks). Familiarity with prompt engineering and agent orchestration concepts. Ability to build scalable ML models for classification, forecasting, and anomaly detection. Experience integrating ML solutions with cloud services (AWS, Azure, GCP). Knowledge of OCR tools and techniques for document processing. Exposure to multi-agent architectures and reinforcement learning is a plus. Understanding of feature engineering, model evaluation, and optimization techniques. Mindset We Are Looking For Builders mindset: You love turning ideas into working solutions fast. Curiosity: Passionate about keeping up with the latest in GenAI and ML. Problem-solver: Comfortable working in ambiguous environments where solutions need discovery, not just execution. Collaboration: Open to learning from senior architects and iterating based on feedback.

Duration: 12Months Position Description: Develop RPA and Chat Bot solutions using Pega and Case Management solutions. Developing integrations for RPA and Chat Bot solutions using Webservices and API's Pairs with other software engineers to cooperatively deliver user stories. Uses the test driven development methodology to realize the technical solution. Perform requirements gathering, Business Analysis, Fit Gap Analysis, System Testing, Documentation (FDD and TDD) and End User Training Analyze integration requirements and work with legacy systems Should coordinate with business skill teams, PDO IT teams, Architects and Product vendor (Pega) in developing and deploying the automation solutions. Bot Maintenance Skills Required: 4+ Experience in PEGA RPA Development. Experience in Delivering global RPA or DPA projects using Agile methodology. Strong knowledge on C# scripting. Pega certification Knowledge in AI or ML modeling is added advantage. Hands-on Experience on Data Modelling, Stored Procedures, SQL Server Strong understanding of Case Management, Case Hierarchy, Flow Rules, Data Propagation Good working knowledge on Declarative Rules, Database Integrations, Connectors and Services, Decisioning & ML Working Knowledge on UI Design Strong Knowledge on Application Debugging, Performance Tuning, Quality Assurance & Packaging Working knowledge on Pega Security Framework Working knowledge on RPA Integration and Robot Manager Portal Features Experience Required: 4-5 years of Pega RPA development experience Education Required: Bachelor's degree B.EMCA

*Perform exploratory data analysis to identify patterns, trends, and insights. *Build and validate predictive models and machine learning algorithms. *Stay current on developments in data science and machine learning. Key skills : Azure ,Hadoop&SQL.

*Analyze large, complex datasets to identify trends, patterns, and opportunities. *Develop predictive models and statistical analyses to support strategic Initiatives.Communicate &collaborate with other team members/team lead to prepare analysis plan