12 Networkx Jobs

The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities. Responsibilities: Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 6-10 years of relevant experience in Apps Development or systems analysis role Extensive experience system analysis and in programming of software applications Experience in managing and implementing successful projects Subject Matter Expert (SME) in at least one area of Applications Development Ability to adjust priorities quickly as circumstances dictate Demonstrated leadership and project management skills Consistently demonstrates clear and concise written and verbal communication Education: Bachelor’s degree/University degree or equivalent experience Master’s degree preferred This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. Job Description: Senior GenAI Specialist - Finance (Pune, India) Role Overview We are seeking a highly skilled and passionate Senior GenAI Specialist with 8-10 years of experience to join our growing team in Pune, India. You will play a critical role in designing, developing, and implementing cutting-edge Generative AI (GenAI) solutions, including exploring and applying advanced concepts like Agentic AI and RLHF, within our financial operations. This role offers a unique opportunity to contribute to high-impact projects, leveraging your deep technical expertise in GenAI, LLMs (including Llama 3, and Llama 4, Gemini), RAG pipelines, vector databases, chatbot development, and the latest advancements in the field. Collaborate with engineers and stakeholders, driving innovation by applying GenAI to solve complex financial problems and shape the future of finance with AI. Responsibilities Design, develop, and implement sophisticated GenAI solutions for diverse financial applications, exploring advanced concepts like Agentic AI and RLHF. Design and implement intelligent chatbots for enhanced customer interaction and operational efficiency. Process and analyze massive datasets of structured and unstructured financial data, applying advanced techniques for feature engineering, data cleaning, and model training. Architect and implement highly efficient RAG pipelines, integrating LLMs with various data sources, including vector databases and knowledge graphs. Leverage tools like LlamaIndex and LangChain. Develop and refine advanced prompting strategies for LLMs, optimizing performance and ensuring high-quality, contextually relevant outputs using your deep understanding of prompt engineering. Thoroughly test, evaluate, and analyze the performance of various LLMs, including Llama 3 and Llama 4, and other GenAI models. Focus on LLM usage, implementation, and evaluation best practices. Collaborate closely with engineering teams to deploy and maintain GenAI models in production, championing MLOps and robust software engineering practices. Communicate effectively with business stakeholders, translating complex technical concepts into actionable insights. Continuously expand your GenAI expertise, staying at the forefront of research and development in areas like Agentic AI, multi-modal GenAI, and emerging trends. Required Skills And Qualifications Master's degree or PhD in a relevant field. 8-10 years of experience in AI/ML development with a proven track record in GenAI. Deep understanding of GenAI models and architectures, including transformers, LLMs (Llama 3, Llama 4, Gemini, GPT-4), GANs, and diffusion models. Solid understanding of Agentic AI principles. Extensive experience in prompt engineering, fine-tuning LLMs, applying RLHF, and evaluating LLM performance. Proven ability to use, implement, and evaluate various LLMs. Expert-level Python skills and proficiency with relevant libraries (Transformers, LangChain, LlamaIndex, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django). Experience with vector databases (Pinecone, Weaviate, Chroma, Faiss, PostgreSQL with pgvector, Redis) and implementing RAG pipelines. Strong software engineering skills (containerization, CI/CD pipelines, cloud infrastructure management). Strong analytical, problem-solving, communication, and collaboration skills. Experience with MLOps principles and tools. Experience with large-scale datasets and distributed computing. Preferred Qualifications Experience with financial data and applications (fraud detection, risk management, personalized advice). Strong understanding of financial markets and instruments. Familiarity with chatbot development frameworks and conversational AI design. Experience leading complex data science or AI/ML projects in an agile environment. Publications or presentations at AI/ML/GenAI conferences. Experience with data visualization and reporting tools (Tableau, Power BI, matplotlib, seaborn). Experience with SQL and NoSQL databases. Technology Stack Programming Languages: Python (expert proficiency), SQL Python Libraries: Transformers, LangChain, LlamaIndex, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django, NetworkX, etc. Deep Learning Frameworks: TensorFlow, PyTorch, JAX LLMs: Llama 2, Llama 3, Llama 4, Gemini, GPT-4, other advanced LLMs. Vector Databases: Pinecone, Weaviate, Chroma, Faiss, PostgreSQL with pgvector, Redis, Milvus. Graph Databases: Neo4j, Amazon Neptune, or similar. Cloud Platforms: AWS, Azure, GCP MLOps Tools: MLflow, Kubeflow, Weights & Biases, or similar. Containerization: Docker, Kubernetes CI/CD: GitHub Actions, Jenkins, GitLab CI/CD, or similar. Version Control: Git Data Visualization: Tableau, Power BI, matplotlib, seaborn, Plotly. Databases: SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra). Location Pune, India ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities 3+ years of experience in implementing analytical solutions using Palantir Foundry. preferably in PySpark and hyperscaler platforms (cloud services like AWS, GCP and Azure) with focus on building data transformation pipelines at scale. Team management: Must have experience in mentoring and managing large teams (20 to 30 people) for complex engineering programs. Candidate should have experience in hiring and nurturing talent in Palantir Foundry. Training: candidate should have experience in creating training programs in Foundry and delivering the same in a hands-on format either offline or virtually. At least 3 years of hands-on experience of building and managing Ontologies on Palantir Foundry. At least 3 years of experience with Foundry services: Data Engineering with Contour and Fusion Dashboarding, and report development using Quiver (or Reports) Application development using Workshop. Exposure to Map and Vertex is a plus Palantir AIP experience will be a plus Hands-on experience in data engineering and building data pipelines (Code/No Code) for ELT/ETL data migration, data refinement and data quality checks on Palantir Foundry. Hands-on experience of managing data life cycle on at least one hyperscaler platform (AWS, GCP, Azure) using managed services or containerized deployments for data pipelines is necessary. Hands-on experience in working & building on Ontology (esp. demonstrable experience in building Semantic relationships). Proficiency in SQL, Python and PySpark. Demonstrable ability to write & optimize SQL and spark jobs. Some experience in Apache Kafka and Airflow is a prerequisite as well. Hands-on experience on DevOps on hyperscaler platforms and Palantir Foundry is necessary. Experience in MLOps is a plus. Experience in developing and managing scalable architecture & working experience in managing large data sets. Opensource contributions (or own repositories highlighting work) on GitHub or Kaggle is a plus. Experience with Graph data and graph analysis libraries (like Spark GraphX, Python NetworkX etc.) is a plus. A Palantir Foundry Certification (Solution Architect, Data Engineer) is a plus. Certificate should be valid at the time of Interview. Experience in developing GenAI application is a plus Mandatory Skill Sets At least 3 years of hands-on experience of building and managing Ontologies on Palantir Foundry. At least 3 years of experience with Foundry services Preferred Skill Sets Palantir Foundry Years Of Experience Required Experience 4 to 7 years ( 3 + years relevant) Education Qualification Bachelor's degree in computer science, data science or any other Engineering discipline. Master’s degree is a plus. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Science Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Palantir (Software) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

🧠 Co-Founder & CTO at Biolligence 📍 Location: Hybrid (UK/US/India preferred) 💼 Type: Co-Founder Role | Equity-based | Strategic Leadership About Us Biolligence is building the future of predictive safety in drug development. Our flagship platform, BioTox , uses AI agents and multi-omics data to forecast clinical toxicity at a population scale before a trial begins. We're working at the cutting edge of clinical AI, real-world evidence, and digital twins to reduce trial failures, protect patients, and accelerate new therapies to market. Backed by domain experts, advisors, and early traction from industry conversations, we’re now looking for a Co-Founder & CTO to help take this vision to the next level. The Opportunity We're seeking a technical co-founder who is both hands-on and visionary—a leader who can architect, build, and scale the BioTox platform while shaping our product roadmap and AI strategy. As CTO, you will: Lead all technology strategy, architecture, and execution Build and mentor the core engineering and data science team Drive development of AI/ML pipelines (e.g. toxicity prediction, KG agents, LLM workflows) Oversee integration of multi-omics datasets, clinical trial data, and real-world safety signals Work closely with the CEO on investor pitches, technical due diligence, and roadmap prioritization Champion best practices in data security, compliance (GxP, GDPR), and platform scalability What We’re Looking For ✅ Strong technical background with 10+ years in software engineering, AI/ML, or bioinformatics ✅ Hands-on experience with: AI/ML pipelines (LLMs, AI Agents, Transformers, etc.) Knowledge graphs (Neo4j, NetworkX, RDF) Cloud platforms (AWS/GCP/Azure), MLOps, and APIs ✅ Experience building and scaling platforms in healthcare, biotech, or life sciences ✅ Bonus: Experience with multi-omics, clinical data standards (CDISC, HL7), or FDA/EMA workflows ✅ Start-up mindset: comfortable with ambiguity, fast iteration, and building from scratch ✅ Passion for transforming drug discovery and clinical development through technology What We Offer 🎯 True co-founder role — you’ll shape the company’s mission, roadmap, and culture 📈 Significant equity stake 🤝 Work with a passionate founder (ex-Recursion, AI Scientist, PhD) and world-class advisors 💡 Build a product with real-world impact on patients, regulators, and the pharma ecosystem Let’s Talk Excited by the challenge of building AI agents that could save patients’ lives and billions in drug development? Let’s build Biolligence together. 📩 Reach out to Sujit Tangadpalliwar at hello@biolligence.com or message us directly.

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: · 3+ years of experience in implementing analytical solutions using Palantir Foundry. · · preferably in PySpark and hyperscaler platforms (cloud services like AWS, GCP and Azure) with focus on building data transformation pipelines at scale. · · Team management: Must have experience in mentoring and managing large teams (20 to 30 people) for complex engineering programs. Candidate should have experience in hiring and nurturing talent in Palantir Foundry. · · Training: candidate should have experience in creating training programs in Foundry and delivering the same in a hands-on format either offline or virtually. · · At least 3 years of hands-on experience of building and managing Ontologies on Palantir Foundry. · · At least 3 years of experience with Foundry services: · · Data Engineering with Contour and Fusion · · Dashboarding, and report development using Quiver (or Reports) · · Application development using Workshop. · · Exposure to Map and Vertex is a plus · · Palantir AIP experience will be a plus · · Hands-on experience in data engineering and building data pipelines (Code/No Code) for ELT/ETL data migration, data refinement and data quality checks on Palantir Foundry. · · Hands-on experience of managing data life cycle on at least one hyperscaler platform (AWS, GCP, Azure) using managed services or containerized deployments for data pipelines is necessary. · · Hands-on experience in working & building on Ontology (esp. demonstrable experience in building Semantic relationships). · · Proficiency in SQL, Python and PySpark. Demonstrable ability to write & optimize SQL and spark jobs. Some experience in Apache Kafka and Airflow is a prerequisite as well. · · Hands-on experience on DevOps on hyperscaler platforms and Palantir Foundry is necessary. · · Experience in MLOps is a plus. · · Experience in developing and managing scalable architecture & working experience in managing large data sets. · · Opensource contributions (or own repositories highlighting work) on GitHub or Kaggle is a plus. · · Experience with Graph data and graph analysis libraries (like Spark GraphX, Python NetworkX etc.) is a plus. · · A Palantir Foundry Certification (Solution Architect, Data Engineer) is a plus. Certificate should be valid at the time of Interview. · · Experience in developing GenAI application is a plus Mandatory skill sets: · At least 3 years of hands-on experience of building and managing Ontologies on Palantir Foundry. · At least 3 years of experience with Foundry services Preferred skill sets: Palantir Foundry Years of experience required: Experience 4 to 7 years ( 3 + years relevant) Education qualification: Bachelor's degree in computer science, data science or any other Engineering discipline. Master’s degree is a plus. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Science Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Palantir (Software) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

You have 10 to 18 years of relevant experience in Data Science. As a Data Scientist, your responsibilities will include modeling and data processing using Scala Spark/PySpark. You should have expert level knowledge of Python for data science purposes. Additionally, you will be required to work on data science concepts, model building using sklearn/PyTorch, and Graph Analytics using networkX, Neo4j, or similar graph databases. Experience in model deployment and monitoring (MLOps) is also desirable. The required skills for this Data Science position include: - Data Science - Python - Scala - Spark/PySpark - MLOps - GraphDB - Neo4j - NetworkX Our hiring process consists of the following steps: 1. Screening (HR Round) 2. Technical Round 1 3. Technical Round 2 4. Final HR Round This position is based in Pune.,

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: · 3+ years of experience in implementing analytical solutions using Palantir Foundry. · preferably in PySpark and hyperscaler platforms (cloud services like AWS, GCP and Azure) with focus on building data transformation pipelines at scale. · · Team management: Must have experience in mentoring and managing large teams (20 to 30 people) for complex engineering programs. Candidate should have experience in hiring and nurturing talent in Palantir Foundry. · · Training: candidate should have experience in creating training programs in Foundry and delivering the same in a hands-on format either offline or virtually. · · At least 3 years of hands-on experience of building and managing Ontologies on Palantir Foundry. · · At least 3 years of experience with Foundry services: · · Data Engineering with Contour and Fusion · · Dashboarding, and report development using Quiver (or Reports) · · Application development using Workshop. · · Exposure to Map and Vertex is a plus · · Palantir AIP experience will be a plus · · Hands-on experience in data engineering and building data pipelines (Code/No Code) for ELT/ETL data migration, data refinement and data quality checks on Palantir Foundry. · · Hands-on experience of managing data life cycle on at least one hyperscaler platform (AWS, GCP, Azure) using managed services or containerized deployments for data pipelines is necessary. · · Hands-on experience in working & building on Ontology (esp. demonstrable experience in building Semantic relationships). · · Proficiency in SQL, Python and PySpark. Demonstrable ability to write & optimize SQL and spark jobs. Some experience in Apache Kafka and Airflow is a prerequisite as well. · · Hands-on experience on DevOps on hyperscaler platforms and Palantir Foundry is necessary. · · Experience in MLOps is a plus. · · Experience in developing and managing scalable architecture & working experience in managing large data sets. · · Opensource contributions (or own repositories highlighting work) on GitHub or Kaggle is a plus. · · Experience with Graph data and graph analysis libraries (like Spark GraphX, Python NetworkX etc.) is a plus. · · A Palantir Foundry Certification (Solution Architect, Data Engineer) is a plus. Certificate should be valid at the time of Interview. · · Experience in developing GenAI application is a plus Mandatory skill sets: · At least 3 years of hands-on experience of building and managing Ontologies on Palantir Foundry. · At least 3 years of experience with Foundry services Preferred skill sets: Palantir Foundry Years of experience required: Experience 2 to 4 years (2 years relevant) Education qualification: Bachelor's degree in computer science, data science or any other Engineering discipline. Master’s degree is a plus. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor Degree, Master Degree Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Palantir (Software) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis, Intellectual Curiosity, Java (Programming Language), Market Development {+ 11 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: · 3+ years of experience in implementing analytical solutions using Palantir Foundry. · preferably in PySpark and hyperscaler platforms (cloud services like AWS, GCP and Azure) with focus on building data transformation pipelines at scale. · · Team management: Must have experience in mentoring and managing large teams (20 to 30 people) for complex engineering programs. Candidate should have experience in hiring and nurturing talent in Palantir Foundry. · · Training: candidate should have experience in creating training programs in Foundry and delivering the same in a hands-on format either offline or virtually. · · At least 3 years of hands-on experience of building and managing Ontologies on Palantir Foundry. · · At least 3 years of experience with Foundry services: · · Data Engineering with Contour and Fusion · · Dashboarding, and report development using Quiver (or Reports) · · Application development using Workshop. · · Exposure to Map and Vertex is a plus · · Palantir AIP experience will be a plus · · Hands-on experience in data engineering and building data pipelines (Code/No Code) for ELT/ETL data migration, data refinement and data quality checks on Palantir Foundry. · · Hands-on experience of managing data life cycle on at least one hyperscaler platform (AWS, GCP, Azure) using managed services or containerized deployments for data pipelines is necessary. · · Hands-on experience in working & building on Ontology (esp. demonstrable experience in building Semantic relationships). · · Proficiency in SQL, Python and PySpark. Demonstrable ability to write & optimize SQL and spark jobs. Some experience in Apache Kafka and Airflow is a prerequisite as well. · · Hands-on experience on DevOps on hyperscaler platforms and Palantir Foundry is necessary. · · Experience in MLOps is a plus. · · Experience in developing and managing scalable architecture & working experience in managing large data sets. · · Opensource contributions (or own repositories highlighting work) on GitHub or Kaggle is a plus. · · Experience with Graph data and graph analysis libraries (like Spark GraphX, Python NetworkX etc.) is a plus. · · A Palantir Foundry Certification (Solution Architect, Data Engineer) is a plus. Certificate should be valid at the time of Interview. · · Experience in developing GenAI application is a plus Mandatory skill sets: · At least 3 years of hands-on experience of building and managing Ontologies on Palantir Foundry. · At least 3 years of experience with Foundry services Preferred skill sets: Palantir Foundry Years of experience required: Experience 2 to 4 years (2 years relevant) Education qualification: Bachelor's degree in computer science, data science or any other Engineering discipline. Master’s degree is a plus. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master Degree, Bachelor Degree Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Palantir (Software) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis, Intellectual Curiosity, Java (Programming Language), Market Development {+ 11 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: · 3+ years of experience in implementing analytical solutions using Palantir Foundry. · · preferably in PySpark and hyperscaler platforms (cloud services like AWS, GCP and Azure) with focus on building data transformation pipelines at scale. · · Team management: Must have experience in mentoring and managing large teams (20 to 30 people) for complex engineering programs. Candidate should have experience in hiring and nurturing talent in Palantir Foundry. · · Training: candidate should have experience in creating training programs in Foundry and delivering the same in a hands-on format either offline or virtually. · · At least 3 years of hands-on experience of building and managing Ontologies on Palantir Foundry. · · At least 3 years of experience with Foundry services: · · Data Engineering with Contour and Fusion · · Dashboarding, and report development using Quiver (or Reports) · · Application development using Workshop. · · Exposure to Map and Vertex is a plus · · Palantir AIP experience will be a plus · · Hands-on experience in data engineering and building data pipelines (Code/No Code) for ELT/ETL data migration, data refinement and data quality checks on Palantir Foundry. · · Hands-on experience of managing data life cycle on at least one hyperscaler platform (AWS, GCP, Azure) using managed services or containerized deployments for data pipelines is necessary. · · Hands-on experience in working & building on Ontology (esp. demonstrable experience in building Semantic relationships). · · Proficiency in SQL, Python and PySpark. Demonstrable ability to write & optimize SQL and spark jobs. Some experience in Apache Kafka and Airflow is a prerequisite as well. · · Hands-on experience on DevOps on hyperscaler platforms and Palantir Foundry is necessary. · · Experience in MLOps is a plus. · · Experience in developing and managing scalable architecture & working experience in managing large data sets. · · Opensource contributions (or own repositories highlighting work) on GitHub or Kaggle is a plus. · · Experience with Graph data and graph analysis libraries (like Spark GraphX, Python NetworkX etc.) is a plus. · · A Palantir Foundry Certification (Solution Architect, Data Engineer) is a plus. Certificate should be valid at the time of Interview. · · Experience in developing GenAI application is a plus Mandatory skill sets: · At least 3 years of hands-on experience of building and managing Ontologies on Palantir Foundry. · At least 3 years of experience with Foundry services Preferred skill sets: Palantir Foundry Years of experience required: Experience 4 to 7 years ( 3 + years relevant) Education qualification: Bachelor's degree in computer science, data science or any other Engineering discipline. Master’s degree is a plus. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Science Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Palantir (Software) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: · 3+ years of experience in implementing analytical solutions using Palantir Foundry. · · preferably in PySpark and hyperscaler platforms (cloud services like AWS, GCP and Azure) with focus on building data transformation pipelines at scale. · · Team management: Must have experience in mentoring and managing large teams (20 to 30 people) for complex engineering programs. Candidate should have experience in hiring and nurturing talent in Palantir Foundry. · · Training: candidate should have experience in creating training programs in Foundry and delivering the same in a hands-on format either offline or virtually. · · At least 3 years of hands-on experience of building and managing Ontologies on Palantir Foundry. · · At least 3 years of experience with Foundry services: · · Data Engineering with Contour and Fusion · · Dashboarding, and report development using Quiver (or Reports) · · Application development using Workshop. · · Exposure to Map and Vertex is a plus · · Palantir AIP experience will be a plus · · Hands-on experience in data engineering and building data pipelines (Code/No Code) for ELT/ETL data migration, data refinement and data quality checks on Palantir Foundry. · · Hands-on experience of managing data life cycle on at least one hyperscaler platform (AWS, GCP, Azure) using managed services or containerized deployments for data pipelines is necessary. · · Hands-on experience in working & building on Ontology (esp. demonstrable experience in building Semantic relationships). · · Proficiency in SQL, Python and PySpark. Demonstrable ability to write & optimize SQL and spark jobs. Some experience in Apache Kafka and Airflow is a prerequisite as well. · · Hands-on experience on DevOps on hyperscaler platforms and Palantir Foundry is necessary. · · Experience in MLOps is a plus. · · Experience in developing and managing scalable architecture & working experience in managing large data sets. · · Opensource contributions (or own repositories highlighting work) on GitHub or Kaggle is a plus. · · Experience with Graph data and graph analysis libraries (like Spark GraphX, Python NetworkX etc.) is a plus. · · A Palantir Foundry Certification (Solution Architect, Data Engineer) is a plus. Certificate should be valid at the time of Interview. · · Experience in developing GenAI application is a plus Mandatory skill sets: · At least 3 years of hands-on experience of building and managing Ontologies on Palantir Foundry. · At least 3 years of experience with Foundry services Preferred skill sets: Palantir Foundry Years of experience required: Experience 4 to 7 years ( 3 + years relevant) Education qualification: Bachelor's degree in computer science, data science or any other Engineering discipline. Master’s degree is a plus. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Science Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Palantir (Software) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date Show more Show less

Exp in leveraging Graph data science concepts to solve business use cases a must. Exp with any graph tools/packages like Neo4J, MemGraph, NetworkX, GraphFrame, iGraph SQL, Python, Scala, ETL frameworks, data warehousing) Required Candidate profile Immediate Joiners

Job Description Product owner (Healthcare ) Job Location: Chennai/Pune Educational Qualification: Any degree Job Description Minimum of 3 years? experience with professional software product development and a minimum of 2 years? experience participating in scrum projects and domain/product experience. Direct experience and responsibility for the documentation and ongoing elaboration of software requirements and specifications, including user stories and detailed specifications. Experience with multiple full project lifecycles, from concept to delivery. Proven experience in managing large and complex software-as-a-service and service based architecture cloud platform scrum projects. Experience with healthcare technology desired. Skills Required RoleA /SA Product owner Healthcare Industry TypeIT/ Computers - Software Functional AreaIT-Software Required EducationAny Graduates Employment TypeFull Time, Permanent Key Skills PRODUCT OWNER PAYER PROVIDER QNXT FACETS HEALTHCARE NETWORKX Other Information Job CodeGO/JC/21400/2025 Recruiter NameMithra D Show more Show less

Job Description Product owner (Healthcare ) Job Location: Chennai/Pune Educational Qualification: Any degree Job Description Minimum of 3 years? experience with professional software product development and a minimum of 2 years? experience participating in scrum projects and domain/product experience. Direct experience and responsibility for the documentation and ongoing elaboration of software requirements and specifications, including user stories and detailed specifications. Experience with multiple full project lifecycles, from concept to delivery. Proven experience in managing large and complex software-as-a-service and service based architecture cloud platform scrum projects. Experience with healthcare technology desired. Skills Required RoleA /SA Product owner Healthcare Industry TypeIT/ Computers - Software Functional AreaIT-Software Required EducationAny Graduates Employment TypeFull Time, Permanent Key Skills PRODUCT OWNER PAYER PROVIDER QNXT FACETS HEALTHCARE NETWORKX Other Information Job CodeGO/JC/21400/2025 Recruiter NameMithra D