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Associate Director - Data Science - Resource OptimizationJob Description SummaryThe Insights and Decision Science (IDS) team is dedicated to enabling improved decision-making at Novartis by leveraging data and advanced analytics capabilities to generate actionable insights that drive business growth. We collaborate closely with the US business, bringing insights and challenging ideas to empower smarter, data-driven decision-making. This role is crucial in analysing actual and predictable interacting operational activities to support data-driven decision making. The Lead for Resource Optimization plays a crucial role in analysing both actual and anticipated operational activities within the business to derive quantitative outcomes. This position establishes a rational foundation for decision-making by applying scientific and economic disciplines and techniques. With expertise in developing complex statistical models and measurement techniques, the Lead utilizes a range of methodologies, including mathematics, statistical methods, engineering methods, and operational mathematics techniques such as linear programming, game theory, and probability theory. By leveraging diverse datasets and advanced statistical techniques, the Associate Director – Resource Optimization drives strategic thought and effective decision-making, combining data analytics with business functions to uncover valuable insights that clarify both the what (data) and the why (business) behind business decisions. Acting as a strategic partner the Lead employs modern market research strategies and methods to address the needs of key stakeholders, ensuring that informed strategies can be developed and implemented in alignment with the organization's strategic objectives. Job DescriptionKey Responsibilities: <ul><li>Contributes to shaping and executing the Market Mix Modeling, Resources allocation and Optimization capabilities</li><li>Co-defines a (customer centric) vision and priorities for the Functional team based on needs of the business, Insights and Analytics vision, input from team and stakeholders.</li><li>Proactively proposes analytical and statistical solutions to business questions and problems and provide key stakeholders with new data driven ideas and actionable recommendations that enables better decision-making and enhance the business excellence.</li><li>Develops advanced technological ideas and guides their development into a final product, leveraging data science methodologies, tools and strategies using internal and external data sources to gain market insights.</li><li>Explores and evaluates new data sources for targeting to drive Insights and innovation and to identify opportunities for improvement.</li><li>Maintains full compliance with internal and external guidelines: stays current on external and internal guidelines.</li><li>Fosters collaboration, customer centric solution design</li></ul>Essential Requirements:<ul><li>Minimum of 8 years of experience in resource optimization, strategic planning, or a similar role within the pharmaceutical or healthcare industry.</li><li>Commitment to driving and enabling data-driven decision making throughout all levels of the organization; strong analytical and problem-solving skills with the ability to interpret complex data and generate actionable insights.</li><li>Exceptional business acumen, paired with a deep understanding of business dynamics in the context of the pharmaceutical industry.</li><li>Experience in managing multiple projects simultaneously, ensuring timely delivery and alignment with business goals.</li><li>Experience in managing relationships with key stakeholders, including senior leadership and external partners; demonstrated strong leadership skills in a team environment which requires negotiation, persuasion, collaboration, and analytical judgment.</li><li>Ability to work effectively with cross-functional teams and drive strategic initiatives.</li><li>Excellent verbal and written communication skills to articulate and present business problems and solutions to key stakeholders persuasively.</li><li>Proficiency in data analysis tools and software, such as Excel, Tableau, or similar business intelligence platforms.</li><li>Ability to thrive in a fast-paced, dynamic environment and adapt to changing business needs and priorities.</li></ul>Education (Minimum/Desirable): Bachelor's degree in related field is required; Master of Science and/or MBA strongly preferred Additional qualifications are as follows: <ul><li>Minimum 10 years of experience in analytics, decision science, or related roles, preferably in the pharmaceutical or healthcare sector</li></ul><ul><li>Ability to balance operational execution with high-level strategic thinking, supporting both day-to-day performance and long-term business goals</li></ul><ul><li>Ability to work collaboratively with cross-functional teams, including sales, data Operations , and product development and drive strategic initiatives</li></ul><ul><li>Excellent communication skills, capable of effectively collaborating with senior leadership and aligning diverse teams</li></ul><ul><li>Proficiency in insight and hypothesis generation, data science, and primary and secondary research methodologies</li></ul><ul><li>Ability to thrive in a fast-paced, dynamic environment and adapt to changing business needs and priorities.</li></ul>Why Novartis: Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture    You’ll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. https://www.novartis.com/careers/benefits-rewards    Commitment to Diversity and Inclusion:   Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.     Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network. Skills DesiredApache Spark, Artificial Intelligence (AI), Big Data, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategy, Data Visualization, Machine Learning (Ml), Master Data Management, Python (Programming Language), R (Programming Language), Statistical Analysis<h4>Experience Level</h4>Mid Level

Novartis India

Data Analyst Intern

Associate Director, Data Strategy and Change ManagementJob Description SummaryThe Associate Director, ERC Data Strategy and EDM Change Manager will be responsible for overseeing and guid-ing the data strategy, fostering data literacy within ERC, and ensuring the smooth operationalization of changes related to data initiatives. Reporting to the Head ERC Transparency and Data Management, the role ensures that data and change management strategies are aligned with business objectives. The Associate Director, ERC Data Strategy and Change Manager will collaborate with various ERC Teams to enhance data management practices and to support the adoption of enterprise-wide data standards. Job DescriptionResponsibilities:<ul><li>Lead the deployment and adoption of the ERC Data Strategy Playbook, ensuring alignment with ERC priorities and enterprise objectives.</li><li>Monitor the execution of the strategy, identifying key performance indicators (KPIs) to measure success and continuously improve outcomes.</li><li>Partner with Data Owners, Data Quality Managers, Data Stewards, and other stakeholders to achieve alignment on data governance goals and initiatives.</li><li>Act as a bridge between technical teams (Data Architects, Analysts) and business functions to ensure data strategy supports operational and strategic needs.</li><li>Ensure seamless integration of data strategy, data architecture, and data models to address current and future business requirements in partnership with Data Architects.</li><li>Identify gaps between data practices and business outcomes and recommend actionable solutions.</li><li>Design and implement a change management framework to support data-related transformations, fostering adoption across global, cross-functional teams.</li><li>Create a roadmap for managing resistance and embedding data change within the ERC’s culture.</li></ul>Essentials Requirement<ul><li>Master's or bachelor's degree in data Analytics, Data Science, Business, or Engineering is required; an MBA from a reputed institute is preferred.</li><li>15+ years of experience in Data Analytics or related fields, with specific experience in producing insights for senior management and building statistical models to address business issues.</li><li>Experience in Risk or Compliance Analytics in the Pharma or Life Sciences industry is preferred.</li><li>Demonstrated experience in designing and delivering insights using AWS, Snowflake, Databricks, and Python libraries for industrialized analytics solutions leveraging statistical models, AI/ML, including GenAI. Proven experience with web analytics tools such as Google Analytics on user insights to identify improvement opportunities.</li><li>Ability to work with a multi-functional and multi-national team in a matrix environment.</li></ul> Skills DesiredAuditing, Business Continuity Management, Business Networking, Compliance Management, Compliance Risk, Computer Cluster, Electronic Components, Internal Audit, Law (Legal System), Market Risk, Operational Risk, Operational Risk Management, Risk Assessment, Risk Management, Senior Management, Software Frameworks<h4>Experience Level</h4>Mid Level

Associate Analyst

EY - GDS Consulting - AI And DATA -Gen AI - SeniorAt EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.     EY GDS – Data and Analytics (D&amp;A) – Senior – Senior Data ScientistRole Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: <ul><li>Contribute to the design and implementation of state-of-the-art AI solutions.</li><li>Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.</li><li>Collaborate with stakeholders to identify business opportunities and define AI project goals.</li><li>Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.</li><li>Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.</li><li>Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.</li><li>Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.</li><li>Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.</li><li>Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.</li><li>Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.</li><li>Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.</li><li>Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.</li><li>Ensure compliance with data privacy, security, and ethical considerations in AI applications.</li><li>Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.</li></ul> Requirements:<ul><li>Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.</li><li>Minimum 3-7 years of experience in Data Science and Machine Learning.</li><li>In-depth knowledge of machine learning, deep learning, and generative AI techniques.</li><li>Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.</li><li>Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.</li><li>Familiarity with computer vision techniques for image recognition, object detection, or image generation.</li><li>Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.</li><li>Expertise in data engineering, including data curation, cleaning, and preprocessing.</li><li>Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.</li><li>Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.</li><li>Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.</li><li>Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.</li><li>Understanding of data privacy, security, and ethical considerations in AI applications.</li><li>Track record of driving innovation and staying updated with the latest AI research and advancements. </li></ul>Good to Have Skills:<ul><li>Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.</li><li>Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).</li><li>Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.</li><li>Implement CI/CD pipelines for streamlined model deployment and scaling processes.</li><li>Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.</li><li>Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.</li><li>Implement monitoring and logging tools to ensure AI model performance and reliability.</li><li>Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.</li><li>Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.</li></ul> EY | Building a better working world    EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.     Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.     Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.  <h4>Experience Level</h4>Senior Level

Ernst & Young LLP ( EY India )

Data Scientist

ML Lead Job Requirements:<ul><li>Lead and mentor a team of data scientists to deliver ML-driven solutions.</li><li>Develop and implement advanced analytics, ML, and predictive models.</li><li>Build solutions using Statistics, ML, Deep Learning, or Generative AI.</li><li>10+ years industry experience in Data Science/ML projects with 2+ years of team leadership experience.</li><li>Strong expertise in Machine Learning, with experience in models like SVM, Random Forest, XG Boost, forecasting, anomaly detection, etc.</li><li>Proficiency in Python, PySpark, SQL, and libraries like Scikit Learn, Pandas, Numpy, Spark.</li><li>Exposure to MLOps and cloud-based ML model deployment (Azure, AWS, GCP).</li><li>Good to have: Deep Learning, Generative AI (LLMs, prompt engineering, Vector DBs), TensorFlow, PyTorch, Keras.</li><li>Excellent leadership, communication, and problem-solving skills with a track record of delivering quality solutions.</li><li>Relevant certifications (e.g., Azure Data Scientist Associate, AWS ML Specialty) will be an added advantage.</li></ul> <ul><li>Experience - 10+ Years</li><li>Immediate Joiners Preferred</li></ul> Share your updated resume now.

Xoriant

Product Lead

GCP Data Engineer Skills Required:<ul><li>Expertise in GCP ecosystem – BigQuery, Dataflow, Composer, Pub/Sub, DataProc</li><li>Strong proficiency in Python, PySpark, SQL</li><li>Knowledge of HDFS, Hadoop and large-scale data migration/engineering</li></ul> Responsibilities:<ul><li>Design, build, and optimize data pipelines on GCP</li><li>Lead and deliver end-to-end data engineering &amp; migration projects independently</li><li>Collaborate with stakeholders to build scalable and reliable cloud data solutions</li></ul> Experience: 5+ years Share your updated resume now.

Natobotics

Data Engineer

Data Analyst The Lead Data Analyst, AI &amp; Bedrock Specialization, will be responsible for spearheading advanced data analytics initiatives, leveraging AI and generative AI capabilities, particularly with Amazon Bedrock. With 5+ years of experience, you will lead the design, development, and implementation of sophisticated analytical models, provide strategic insights to stakeholders, and mentor a team of data professionals.This role requires a blend of strong technical skills, business acumen, and a passion for pushing the boundaries of data analysis with AI. &nbsp;Key Responsibilities:&nbsp;• AI/ML &amp; Generative AI Implementation (Bedrock Focus):&nbsp;&nbsp;• Implement data analytical solutions leveraging Amazon Bedrock, including selecting appropriate foundation models (e.g., Amazon Titan, Anthropic Claude) for specific use cases (text generation, summarization, complex data analysis).&nbsp;&nbsp;• Design and optimize prompts for Large Language Models (LLMs) to extract meaningful insights from unstructured and semi-structured data within Bedrock.&nbsp;&nbsp;• Explore and integrate other AI/ML services (e.g., Amazon hashtag#SageMaker, Amazon Q) to enhance data processing, analysis, and automation workflows. Share your updated resume now.

Tekskills India Private Limited

Data Analyst

Senior Data Scientist We're Hiring: Senior Data Scientist (WFO)Experience: 6–8 YrsJoining: Immediate Responsibilities:<ul><li>Build predictive models for connected vehicle analytics (driver behavior, vehicle health, route optimization)</li><li>Analyze large datasets &amp; generate insights</li><li>Work with AI leads on model tuning &amp; evaluation</li></ul> Skills:<ul><li>Python, SQL, GCP (BigQuery, Vertex AI), ML/DL (scikit-learn, TensorFlow), Power BI / Looker, API &amp; data integration</li></ul> Apply Now: send your CV.

Nihilent Ltd

Senior Tableau Developer DXC Technology hiring candidates for below position.&nbsp;Job Role: Senior Tableau DeveloperYears of experience:&nbsp;6+ Interested candidates can share their resume with below detailsCurrent CTC:Expected CTC:Notice Period:Current Location:Preferred Location:

DXC Technology India Pvt Ltd

Data Engineer Skills Required:•&nbsp;Strong skills in SQL, dbt, and excel.• Experience with accounting/financial data and understanding of accounting flows.• Experience with Excel Power Query to set up process templates• Attention to detail with a mindset of checking for accuracy and asking • Experience: 4+ years• Work Time: 3 PM to 12 AM• Notice Period: Immediate to 15 days only max Share your resume now.

CriticalRiver

Data Fabric Lead<h4>Company Description</h4>About SutherlandArtificial Intelligence. Automation. Cloud engineering. Advanced analytics. For business leaders, these are key factors of success. For us, they’re our core expertise. We work with iconic brands worldwide. We bring them a unique value proposition through market-leading technology and business process excellence.We’ve created over 200 unique inventions under several patents across AI and other critical technologies. Leveraging our advanced products and platforms, we drive digital transformation, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless “as a service” model.For each company, we provide new keys for their businesses, the people they work with, and the customers they serve. We tailor proven and rapid formulas, to fit their unique DNA. We bring together human expertise and artificial intelligence to develop digital chemistry. This unlocks new possibilities, transformative outcomes and enduring relationships.Sutherland Unlocking digital performance. Delivering measurable results. <h4>Job Description</h4>We are looking for a skilled Data Engineer with strong expertise in SQL Development, SSIS, and Microsoft Fabric. The ideal candidate should have hands-on experience in T-SQL Development and working across the bronze and gold layers of Microsoft Fabric. Additionally, experience in Power BI will be a plus.  Key Responsibilities:  1. SQL &amp; SSIS Development:  Design, develop, and optimize SQL queries, stored procedures, and functions.  Develop and maintain SSIS packages for ETL processes.  Ensure data quality, performance tuning, and error handling in ETL pipelines.  2. MS Fabric &amp; Data Engineering:  Work on Bronze &amp; Gold layers of Microsoft Fabric for data transformation and enrichment.  Develop and manage T-SQL scripts for data processing and transformation.  Implement best practices for data modeling and data pipeline optimization.  3. Power BI Integration (Preferred):  Collaborate with BI teams to support Power BI dashboards and reports.  Optimize datasets and queries for efficient reporting.  4. Collaboration &amp; Process Improvement:  Work closely with data analysts, business teams, and other engineers to deliver data solutions.  Ensure best practices in database design, performance tuning, and security.  Automate workflows and optimize data pipelines for scalability.  Required Skills: <ul><li>Technical Expertise: </li><li>Strong hands-on experience in SQL Development &amp; T-SQL scripting. </li><li>Experience in SSIS (SQL Server Integration Services) for ETL processes. </li><li>Knowledge of Microsoft Fabric, specifically Bronze &amp; Gold layers. </li><li>Familiarity with data engineering concepts, data modeling, and data warehousing. </li><li>Exposure to Power BI for data visualization (preferred). </li></ul>Other Skills: <ul><li>Ability to troubleshoot and optimize SQL queries for performance. </li><li>Experience in handling large datasets and optimizing ETL processes. </li><li>Strong problem-solving and analytical skills. </li><li>Excellent communication and teamwork abilities. </li></ul><h4>Qualifications</h4><ul><li>Experience with Azure Data Services (Azure Synapse, Data Factory, etc.) is a plus. </li><li>Certifications in Microsoft SQL Server, Azure Data Engineering, or Power BI are beneficial.   </li></ul><h4>Additional Information</h4>All your information will be kept confidential according to EEO guidelines.<h4>Experience Level</h4>Senior Level

Sutherland Global Services Private Limited

BI Developer

Process Excellence Senior Associate (Power BI)Are you ready to make an impact at DTCC? Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We are committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve.  Enterprise Services comprises of multiple business platforms including Client Services, Global Business Operations, Business Architecture, Data Strategy and Analytics, and Digital Services, which report into the Chief of Enterprise Services. These grouped platforms enable the business to optimize delivery for clients, generate efficiencies and resilience, and enable consistency in the business digitization strategy, processes and end-to-end best practices.Pay and Benefits: <ul><li>Competitive compensation, including base pay and annual incentive</li><li>Comprehensive health and life insurance and well-being benefits, based on location</li><li>Pension / Retirement benefits</li><li>Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.</li><li>DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee).</li></ul>The Impact you will have in this role:Being a member of the Process Excellence Team, the Senior Associate will grow the enterprise business architecture (MEGA HOPEX) platform through technical skill and business awareness. The Process Excellence team supports Enterprise Digital Solutions in improving operational efficiency by analyzing processes, identifying inefficiencies, and implementing solutions for Enterprise Services and its partners. In this role, the Process Excellence Senior Associate will work with partners to identify their needs for the platform, build reports in the platform and PowerBI, and drive a client-focused approach throughout the enterprise roll-out.Your Primary Responsibilities: <ul><li>Promote the data being maintained in the MEGA HOPEX platform as a key enterprise resource through the creation of powerful client-focused dashboards and reports in PowerBI</li><li>Drive utilization of the business architecture platform by defining policies directed towards the management and maintenance of the information</li><li>Identify operational improvement opportunities within the department by developing data management best practices, consolidation opportunities, or areas for natural expansion of the data footprint</li><li>Assist in the development of the MEGA HOPEX platform, learning the current SDLC process and driving the development of the reports, either in the platform itself or through PowerBI dashboards</li><li>Provide data insights and drive cross-functional coordination to support business decision making</li></ul>Qualifications:<ul><li>Minimum of 6 years of related experience</li><li>Bachelor's degree preferred or equivalent experience</li></ul>Talents Needed for Success:<ul><li>Proficient in PowerBI (or equivalent and willing to learn)</li><li>Ability to communicate with internal partners and also implement at a technical level</li><li>Self-starter, with the ability to define the appropriate actions to take based on the vision, mission, and objectives of the department</li><li>Experience with a business architecture, BPM, or enterprise architecture platform is preferred but not required</li><li>Strong decision making and problem-solving capabilities </li></ul>Actual salary is determined based on the role, location, individual experience, skills, and other considerations. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation


 With over 50 years of experience, DTCC is the premier post-trade market infrastructure for the global financial services industry. From 20 locations around the world, DTCC, through its subsidiaries, automates, centralizes, and standardizes the processing of financial transactions, mitigating risk, increasing transparency, enhancing performance and driving efficiency for thousands of broker/dealers, custodian banks and asset managers. Industry owned and governed, the firm innovates purposefully, simplifying the complexities of clearing, settlement, asset servicing, transaction processing, trade reporting and data services across asset classes, bringing enhanced resilience and soundness to existing financial markets while advancing the digital asset ecosystem. In 2024, DTCC’s subsidiaries processed securities transactions valued at U.S. $3.7 quadrillion and its depository subsidiary provided custody and asset servicing for securities issues from over 150 countries and territories valued at U.S. $99 trillion. DTCC’s Global Trade Repository service, through locally registered, licensed, or approved trade repositories, processes more than 25 billion messages annually. To learn more, please visit us at <a href="http://www.dtcc.com/" target="_blank">www.dtcc.com</a> or connect with us on <a href="https://nam02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdtcc&amp;data=05%7C02%7Csnatharsahib%40dtcc.com%7Cd1b7915318d142b8dcb908dd9484c96f%7C0465519d7f554d47998b55e2a86f04a8%7C0%7C0%7C638830020222039738%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata=%2BcUNAE97MXWZspdovvvrlloHOJhIu81IIf%2FLVrZcEnc%3D&amp;reserved=0" target="_blank">LinkedIn</a>, <a href="https://nam02.safelinks.protection.outlook.com/?url=http%3A%2F%2Ftwitter.com%2FThe_DTCC&amp;data=05%7C02%7Csnatharsahib%40dtcc.com%7Cd1b7915318d142b8dcb908dd9484c96f%7C0465519d7f554d47998b55e2a86f04a8%7C0%7C0%7C638830020222062862%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata=7P0QG3lGaJHcZ6xKyx%2FKypml5X7kFsbKKevdvQP7HnI%3D&amp;reserved=0" target="_blank">X</a>, <a href="https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.youtube.com%2Fc%2FTheDTCC1973&amp;data=05%7C02%7Csnatharsahib%40dtcc.com%7Cd1b7915318d142b8dcb908dd9484c96f%7C0465519d7f554d47998b55e2a86f04a8%7C0%7C0%7C638830020222074100%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata=Yh82fCb1rWGlCQcFnKuXKiPxHDu0YAPYMIUwYsNFMRc%3D&amp;reserved=0" target="_blank">YouTube</a>, <a href="https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.facebook.com%2Fthedtcc&amp;data=05%7C02%7Csnatharsahib%40dtcc.com%7Cd1b7915318d142b8dcb908dd9484c96f%7C0465519d7f554d47998b55e2a86f04a8%7C0%7C0%7C638830020222086884%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata=HXEbG7OoI%2BTahA66aDQFa9faKmephnWRgVrYY3Id3pM%3D&amp;reserved=0" target="_blank">Facebook</a> and <a href="https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.instagram.com%2Fthe_dtcc%2F&amp;data=05%7C02%7Csnatharsahib%40dtcc.com%7Cd1b7915318d142b8dcb908dd9484c96f%7C0465519d7f554d47998b55e2a86f04a8%7C0%7C0%7C638830020222097483%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata=QeKhjzWE6dMk%2FdoOOdAawU2n9bj19B%2BZ4ndsPFmkcXE%3D&amp;reserved=0" target="_blank">Instagram</a>.

DTCC proudly supports Flexible Work Arrangements favoring openness and gives people freedom to do their jobs well, by encouraging diverse opinions and emphasizing teamwork.  When you join our team, you’ll have an opportunity to make meaningful contributions at a company that is recognized as a thought leader in both the financial services and technology industries. A DTCC career is more than a good way to earn a living. It’s the chance to make a difference at a company that’s truly one of a kind.Learn more about Clearance and Settlement by <a href="https://www.dtcc.com/clearance-settlement-guide/index.html#/dashboard" target="_blank">clicking here</a>.<h4>Experience Level</h4>Mid Level

DTCC Enterprise Services India Private Limited

Senior Process Associate

Machine Learning Tech Lead, Data and Evaluations, AIRX<h4>Minimum qualifications:</h4><ul><li>Bachelor's degree or equivalent practical experience.</li><li>8 years of experience in Software Development.</li><li> 5 years of experience with design and architecture and testing/launching software products.</li><li>5 years of experience in leading technical project strategy, Machine Learning (ML) design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).</li><li>5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.</li></ul> <h4>Preferred qualifications:</h4><ul><li>Experience with Partners and Devices product portfolio and an understanding of how AI can be leveraged.</li><li>Experience in working with distributed teams across multiple time zones, fostering strong communication, collaboration, and a sense of shared purpose even in a remote work environment.</li><li>Ability to work with teams, including product managers, Machine Learning software engineers, and other stakeholders, to drive AI adoption and integration.</li><li>Ability to build relationships globally, ensuring collaboration between local and US-based teams to deliver AI-driven solution.</li></ul><h4>About the job</h4>Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. <h4>Responsibilities</h4><ul><li>Build comprehensive ML driven evaluations for AI systems (on-device, server based, private compute and Hybrid)  and critical user journeys, designed to be adaptable across various applications across P&amp;D</li><li>Build infrastructure and tooling needed to support evaluations across P&amp;D and drive visibility on performance at an exec level </li><li>Build ML-based Auto raters for easy creation, execution scaling and evaluation.</li><li>Improving the scope and quality of datasets and Upstreaming new datasets and evaluations to Gemini OneRecipe (when applicable).</li><li>Leverage SWE Agents to create agentic flows that automate evals creation and TL a high performing team</li></ul><h4>Experience Level</h4>Senior Level

Google India Pvt Ltd

Lead Analyst - RNA<h4>Company Description</h4>WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees.<h4>Job Description</h4>We are seeking a skilled Data Analyst to join our team. The ideal candidate will have over 5 years of relevant experience with hands-on expertise in SQL programming, and creating insightful visualizations. Knowledge of AWS Redshift or similar databases is essential.Key Responsibilities:Analyse complex data sets to identify trends, patterns, and insights.Develop and implement statistical and machine learning models to solve business problems.Write efficient and optimized SQL queries for data extraction and manipulation.Create interactive and informative visualizations to present data insights.Collaborate with cross-functional teams to understand business requirements and provide analytical solutions.Maintain and optimize existing data pipelines and workflows.Communicate complex data findings clearly and effectively to stakeholders.Required Skills:5+ years of relevant experience in data analysis.Hands-on experience with SQL programming.Proven experience in building statistical and machine learning models.Proficiency in building visualizations using tools like Tableau, Power BI, or similar.Knowledge of AWS Redshift or similar database technologies.Experience working with Databricks.Preferred Skills / Not Mandatory Familiar with R / Python (nice to have)Other Requirements:Excellent communication skills.Strong business analysis capabilities.High attention to detail.Ability to work effectively as a team player or independently as an Individual Contributor (IC).<h4>Qualifications</h4>Graduate<h4>Experience Level</h4>Senior Level

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