387 Dataiku Jobs - Page 4

Role Overview: We are seeking a skilled Data Engineer with hands-on experience in Dataiku DSS to join our team. The ideal candidate will design and develop data pipelines, optimize workflows, and implement AI/ML models on cloud platforms. The role demands technical expertise, problem-solving ability, and a collaborative mindset. Key Responsibilities: Design and develop scalable ETL (Extract, Transform, Load) pipelines to collect and process data from multiple sources. Configure and streamline Dataiku DSS workflows for efficient data processing and machine learning operations. Integrate Dataiku with cloud platforms such as AWS, Azure, and GCP, as well as big data tools like Snowflake, Hadoop, and Spark . Develop and deploy AI/ML models for predictive analytics using Dataiku. Implement MLOps and DataOps practices within the platform for model deployment and data flow automation. Monitor job performance and automate data workflows for improved scalability and reliability. Customize Dataiku functionality with Python or R scripts for enhanced analytics. Manage and support the Dataiku platform, ensuring its reliability and performance. Must-Have Skills: 2 to 6 years of hands-on experience with the Dataiku DSS platform . Strong proficiency in Python and SQL for scripting and data manipulation. Solid understanding of ETL processes and data pipeline development. Experience with cloud environments (AWS, Azure, GCP). Familiarity with big data frameworks such as Spark and Hadoop. Good understanding of AI/ML model development and deployment practices. Ability to automate workflows and monitor performance effectively. Strong analytical thinking and problem-solving abilities. Excellent verbal and written communication skills.

You will support the Analytics solutions team in ramping up F&A analytics and reporting practice using the Dataiku platform. Your role will involve partnering with internal stakeholders and clients to identify, analyze, and deliver analytics and automation solutions using Dataiku. You will be responsible for translating business requirements into technical solutions and managing the end-to-end delivery of Dataiku-based projects. Additionally, you will communicate technical infrastructure requirements to deploy automation solutions and convert solutions into tools and products. Leading and mentoring a team of junior resources to enable skill development in Dataiku, data engineering, and machine learning workflows will also be part of your responsibilities. Essential duties include identifying F&A automation opportunities in the client environment and performing end-to-end automation operations. As a Senior Dataiku developer with over 6 years of experience, you should be proficient in building dynamic workflows, models, and pipelines. You should have experience in developing custom formulas, applications, and plugins within the Dataiku DSS environment, as well as integrating and working with Snowflake. A good understanding of SQL and experience integrating Dataiku with enterprise systems such as SAP, Oracle, or cloud data platforms is required. You must possess a balance of analytical problem-solving skills and strong interpersonal and relationship development abilities. In terms of technical skills, you should have hands-on experience in Dataiku, Alteryx, SQL, Power BI, and Snowflake. Proficiency in creating data pipelines for data ingestion, transformation, and output within the Dataiku platform is essential. An understanding of Python and R scripting within Dataiku is considered a strong advantage, along with a strong working knowledge of JIRA for agile project and task tracking. Desired soft skills for this role include excellent presentation, verbal, and written communication skills, as well as excellent analytical skills and an aptitude for problem-solving, including data analysis and validation. The ability to work independently and as part of a team is also highly valued. To be considered for this position, you should have 5-12 years of total analytics experience, with at least 6 years of experience specifically in Dataiku. Additionally, 1-2 years of working experience in Insurance Analytics would be beneficial.,

As a Data Engineer in our organization, you will leverage your expertise in specialized tools such as Python, Dataiku, Spark, and SAS DI to support our clients in their Data and Analytics journey. Your responsibilities will involve designing and implementing data integration solutions, optimizing data workflows, and collaborating with cross-functional teams to ensure successful project delivery. Your key activities will include understanding and defining data initiatives based on business needs, developing and implementing data integration solutions, and conducting performance tuning and optimization of queries and data models. You will also be involved in database design and implementation, ensuring data quality and consistency across the data warehouse. Collaboration and communication are crucial aspects of this role as you will work closely with clients and internal teams to gather requirements, troubleshoot data-related issues, and provide technical support to the development team. Additionally, you will be responsible for driving the project as a technical lead, managing end-to-end project deliverables, and ensuring seamless collaboration with clients. Essential skills for this position include experience with data engineering tools, strong SQL proficiency, BI knowledge, and the ability to convert business requirements into technical specifications. Desirable skills include analytical capabilities for data analysis and experience with BI tools like Microstrategy and Power BI. To qualify for this role, you should have at least 3 years of experience in designing and developing data integration solutions, along with technical certifications that demonstrate your commitment to continuous learning. Your qualities should include the ability to influence change confidently, tackle problems systematically, and collaborate effectively in self-organized, cross-functional teams. If you have a passion for data engineering and a drive to excel in a dynamic work environment, we invite you to join our team and contribute to our clients" success in the realm of Data and Analytics.,

Forvia, a sustainable mobility technology leader We pioneer technology for mobility experience that matter to people. Your Mission, Roles And Responsibilities Sr. Data Engineer Country/Region: Pune/India Contract Type: Full time New trends and expectations are reshaping the automotive industry. Inspired by the exciting new challenges associated with this revolution, Faurecia anticipates the future of mobility developing cutting-edge solutions for smart life on board and sustainable mobility. If you’re willing to contribute and create value for tomorrow’s cleaner and smarter mobility, Faurecia is the place to be. The Digital Services Factory (DSF) is a fast growing team in charge of providing AI solutions for manufacturing excellence and efficiency as well as for smart product development for the automotive industry. In order to meet the increasing expectations we are enriching our team by adding highly skilled resources. Overall Responsibilities And Duties Data Mining from structured, semi-structure & unstructured data sources Develop Business intelligence dashboards & insights with datasets Ensure data quality, interpret & analyse the data problems Prepare data for prescriptive & predictive modelling Create ontologies for knowledge & data management Collaborate with business owners, IT Architects & Data Scientists Qualifications Bachelors/Masters Degree in Computer Science Engineering Minimum 6 to 9 years of experience in working on industrial scale projects in Big Data. Hands on experience in building data models, data mining & segmentation Good knowledge of Big data eco systems (Spark & Hadoop) Good knowledge of python & SQL Knowledge of SQL & NoSQL Databases Knowledge of PowerBI Knowledge of Dataiku, Palantir is a plus Good communication skills in English Good logical & analytical thinking Your profile and competencies to succeed What We Can Do For You At Forvia, you will find an engaging and dynamic environment where you can contribute to the development of sustainable mobility leading technologies. We are the seventh-largest global automotive supplier, employing more than 157,000 people in more than 40 countries which makes a lot of opportunity for career development. We welcome energetic and agile people who can thrive in a fast-changing environment. People who share our strong values. Team players with a collaborative mindset and a passion to deliver high standards for our clients. Lifelong learners. High performers. Globally minded people who aspire to work in a transforming industry, where excellence, speed, and quality count. We cultivate a learning environment, dedicating tools and resources to ensure we remain at the forefront of mobility. Our people enjoy an average of more than 22 hours of online and in-person training within FORVIA University (five campuses around the world) We offer a multicultural environment that values diversity and international collaboration. We believe that diversity is a strength. To create an inclusive culture where all forms of diversity create real value for the company, we have adopted gender diversity targets and inclusion action plans. Achieving CO2 Net Zero as a pioneer of the automotive industry is a priority: In June 2022, Forvia became the first global automotive group to be certified with the new SBTI Net-Zero Standard (the most ambitious standard of SBTi), aligned with the ambition of the 2015 Paris Agreement of limiting global warming to 1.5°C. Three principles guide our action: use less, use better and use longer, with a focus on recyclability and circular economy. Why join us FORVIA is an automotive technology group at the heart of smarter and more sustainable mobility. We bring together expertise in electronics, clean mobility, lighting, interiors, seating, and lifecycle solutions to drive change in the automotive industry. With a history stretching back more than a century, we are the 7th largest global automotive supplier, employing more than 157,000 people in 43 countries. You'll find our technology in around 1 out of 2 vehicles produced anywhere in the world. In June 2022, we became the 1st global automotive group to be certified with the SBTI Net-Zero Standard. We have committed to reach CO2 Net Zero by no later than 2045. As technological innovation and the need for sustainability transform the automotive industry, we are ideally positioned to deliver solutions that will enhance the lives of road-users everywhere.

Data Engineer, DT US PxE The Data Engineer is an integral part of the technical application development team and primarily responsible for analyze, plan, design, develop, and implement the Azure Data engineering solutions to meet strategic, usability, performance, reliability, control, and security requirements of Data science processes. Requires demonstrable knowledge in areas of Data engineering, AI/ML, Data warehouse and reporting applications. Must be innovative. Work you will do A unique opportunity to be a part of growing team that works on a premier unified data science analytics platform within Deloitte. You will be responsible for implementing/delivering/supporting Data engineering and AI/ML solutions to support the Deloitte US Member Firm. Outcome-Driven Accountability Collaborate with business and IT leaders to develop and refine ideas for integrating predictive and prescriptive analytics within business processes, ensuring measurable customer and business outcomes. Decompose complex business problems into manageable components, facilitating the use of multiple analytic modeling methods for holistic and valuable solutions. Develop and refine prototypes and proofs of concepts, presenting results to business and IT leaders, and demonstrating the impact on customer needs and business outcomes. Technical Leadership and Advocacy Engage in data analysis, generating and testing hypotheses, preparing and analyzing historical data, identifying patterns, and applying statistical methods to formulate solutions that deliver high-quality outcomes. Develop project plans, including resource needs and task dependencies, to meet project deliverables with a focus on incremental and iterative delivery. Engineering Craftsmanship Participate in defining project scope, objectives, and quality controls for new projects, ensuring alignment with customer-centric engineering principles. Present and communicate project deliverable results, emphasizing the value delivered to customers and the business. Customer-Centric Engineering Assist in recruiting and mentoring team members, fostering a culture of engineering craftsmanship and continuous learning. Incremental and Iterative Delivery Stay abreast of changes in technology, leading new technology evaluations for predictive and statistical analytics, and advocating for innovative, lean, and feasible solutions. Education: Bachelor’s degree in Computer Science or Business Information Systems or MCA or equivalent degree. Qualifications: 2 to 5 years Advanced Level of experience in Azure Data engineering Expertise in Development, deployment and monitoring ADF pipelines (using visual studio and browsers) Expertise in Azure databricks internal programming using (PySpark, SparkR and SparkSQL) or Amazon EMR (Elastic MapReduce). Expertise in managing azure storage (Azure Datalake Gen2, Azure Blob Storage, Azure SQL database) or Azure Blob Storage, Azure Data Lake Storage, Azure Synapse Analytics, Azure Data Factory Advanced programming skills in Python, R and SQL (SQL for HANA, MS SQL) Hands on experience in Visualization tools (Tableau / PowerBI) Hands on experience in Data science studios like (Dataiku, Azure ML studio, Amazon SageMaker) The Team Information Technology Services (ITS) helps power Deloitte’s success. ITS drives Deloitte, which serves many of the world’s largest, most respected organizations. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. The ~3,000 professionals in ITS deliver services including: Security, risk & compliance Technology support Infrastructure Applications Relationship management Strategy Deployment PMO Financials Communications Product Engineering (PxE) Product Engineering (PxE) is the internal software and applications development team responsible for delivering leading-edge technologies to Deloitte professionals. Their broad portfolio includes web and mobile productivity tools that empower our people to log expenses, enter timesheets, book travel and more, anywhere, anytime. PxE enables our client service professionals through a comprehensive suite of applications across the business lines. In addition to application delivery, PxE offers full-scale design services, a robust mobile portfolio, cutting-edge analytics, and innovative custom development. How you will grow At Deloitte, we have invested a great deal to create a rich environment in which our professionals can grow. We want all our people to develop in their own way, playing to their own strengths as they hone their leadership skills. And, as a part of our efforts, we provide our professionals with a variety of learning and networking opportunities—including exposure to leaders, sponsors, coaches, and challenging assignments—to help accelerate their careers along the way. No two people learn in exactly the same way. So, we provide a range of resources, including live classrooms, team-based learning, and eLearning. Deloitte University (DU): The Leadership Center in India, our state-of-the-art, world-class learning center in the Hyderabad office, is an extension of the DU in Westlake, Texas, and represents a tangible symbol of our commitment to our people’s growth and development. Explore DU: The Leadership Center in India. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Deloitte’s culture Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture that is inclusive, invites authenticity, leverages our diversity, and where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte. Corporate citizenship Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people, and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’s impact on the world. Disclaimer: Please note that this description is subject to change basis business/engagement requirements and at the discretion of the management. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India. Benefits to help you thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 302720

About the Job : We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. In this pivotal role, you will be instrumental in driving our data engineering initiatives, with a strong emphasis on leveraging Dataiku's capabilities to enhance data processing and analytics. You will be responsible for designing, developing, and optimizing robust data pipelines, ensuring seamless integration of diverse data sources, and maintaining high data quality and accessibility to support our business intelligence and advanced analytics projects. This role requires a unique blend of expertise in traditional data engineering principles, advanced data modeling, and a forward-thinking approach to integrating cutting-AI technologies, particularly LLM Mesh for Generative AI applications. If you are passionate about building scalable data solutions and are eager to explore the cutting edge of AI, we encourage you to apply. Key Responsibilities : - Dataiku Leadership : Drive data engineering initiatives with a strong emphasis on leveraging Dataiku capabilities for data preparation, analysis, visualization, and the deployment of data solutions. - Data Pipeline Development : Design, develop, and optimize robust and scalable data pipelines to support various business intelligence and advanced analytics projects. This includes developing and maintaining ETL/ELT processes to automate data extraction, transformation, and loading from diverse sources. - Data Modeling & Architecture : Apply expertise in data modeling techniques to design efficient and scalable database structures, ensuring data integrity and optimal performance. - ETL/ELT Expertise : Implement and manage ETL processes and tools to ensure efficient and reliable data flow, maintaining high data quality and accessibility. - Gen AI Integration : Explore and implement solutions leveraging LLM Mesh for Generative AI applications, contributing to the development of innovative AI-powered features. - Programming & Scripting : Utilize programming languages such as Python and SQL for data manipulation, analysis, automation, and the development of custom data solutions. - Cloud Platform Deployment : Deploy and manage scalable data solutions on cloud platforms such as AWS or Azure, leveraging their respective services for optimal performance and cost-efficiency. - Data Quality & Governance : Ensure seamless integration of data sources, maintaining high data quality, consistency, and accessibility across all data assets. Implement data governance best practices. - Collaboration & Mentorship : Collaborate closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver impactful solutions. Potentially mentor junior team members. - Performance Optimization : Continuously monitor and optimize the performance of data pipelines and data systems. Required Skills & Experience : - Proficiency in Dataiku : Demonstrable expertise in Dataiku for data preparation, analysis, visualization, and building end-to-end data pipelines and applications. - Expertise in Data Modeling : Strong understanding and practical experience in various data modeling techniques (e.g., dimensional modeling, Kimball, Inmon) to design efficient and scalable database structures. - ETL/ELT Processes & Tools : Extensive experience with ETL/ELT processes and a proven track record of using various ETL tools (e.g., Dataiku's built-in capabilities, Apache Airflow, Talend, SSIS, etc.). - Familiarity with LLM Mesh : Familiarity with LLM Mesh or similar frameworks for Gen AI applications, understanding its concepts and potential for integration. - Programming Languages : Strong proficiency in Python for data manipulation, scripting, and developing data solutions. Solid command of SQL for complex querying, data analysis, and database interactions. - Cloud Platforms : Knowledge and hands-on experience with at least one major cloud platform (AWS or Azure) for deploying and managing scalable data solutions (e.g., S3, EC2, Azure Data Lake, Azure Synapse, etc.). - Gen AI Concepts : Basic understanding of Generative AI concepts and their potential applications in data engineering. - Problem-Solving : Excellent analytical and problem-solving skills with a keen eye for detail. - Communication : Strong communication and interpersonal skills to collaborate effectively with cross-functional teams. Bonus Points (Nice to Have) : - Experience with other big data technologies (e.g., Spark, Hadoop, Snowflake). - Familiarity with data governance and data security best practices. - Experience with MLOps principles and tools. - Contributions to open-source projects related to data engineering or AI. Education : Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field.

Bengaluru, Karnataka Job ID 30180690 Job Category Digital Technology Job Description: We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our AI Platforms Team. The ideal candidate will play a crucial role in ensuring that projects developed by our Data Science teams are production-ready. This position requires a deep understanding of machine learning, data science, and software engineering principles. Key Responsibilities: Collaborate with Data Science teams to refine and enhance machine learning models and data science projects at every stage of development. Ensure that machine learning models and data science projects are production-ready, scalable, performant, and fault-tolerant. Develop and enforce best practices, controls, and governance frameworks for machine learning projects. Implement robust monitoring and maintenance strategies for deployed models to ensure continuous performance and reliability. Work closely with cross-functional teams to integrate machine learning solutions into production environments. Provide technical leadership and mentorship to junior engineers and data scientists. Stay up-to-date with the latest advancements in machine learning and data science technologies and methodologies. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. PhD is a plus. Proven experience in machine learning, data science, and software engineering. Strong programming skills in languages such as Python and SQL. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Working knowledge of various machine learning algorithms, for use cases including but not limited to regression, classification, forecasting, and anomaly detection. Familiarity with cloud platforms, especially AWS and SageMaker. Experience in building and deploying large-scale machine learning projects in production. Deep internal understanding of machine learning algorithms. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills and the ability to collaborate effectively with cross-functional teams. Preferred Qualifications: Knowledge of Dataiku platform is preferred but not mandatory. Knowledge of data governance and compliance standards. Experience with big data technologies (e.g., Hadoop, Spark). Familiarity with CI/CD pipelines and DevOps practices. Experience in deploying Generative AI (GenAI) projects in production is preferred. Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

Summary Position Summary Data Engineer, DT US PxE The Data Engineer is an integral part of the technical application development team and primarily responsible for analyze, plan, design, develop, and implement the Azure Data engineering solutions to meet strategic, usability, performance, reliability, control, and security requirements of Data science processes. Requires demonstrable knowledge in areas of Data engineering, AI/ML, Data warehouse and reporting applications. Must be innovative. Work you will do A unique opportunity to be a part of growing team that works on a premier unified data science analytics platform within Deloitte. You will be responsible for implementing/delivering/supporting Data engineering and AI/ML solutions to support the Deloitte US Member Firm. Outcome-Driven Accountability Collaborate with business and IT leaders to develop and refine ideas for integrating predictive and prescriptive analytics within business processes, ensuring measurable customer and business outcomes. Decompose complex business problems into manageable components, facilitating the use of multiple analytic modeling methods for holistic and valuable solutions. Develop and refine prototypes and proofs of concepts, presenting results to business and IT leaders, and demonstrating the impact on customer needs and business outcomes. Technical Leadership and Advocacy Engage in data analysis, generating and testing hypotheses, preparing and analyzing historical data, identifying patterns, and applying statistical methods to formulate solutions that deliver high-quality outcomes. Develop project plans, including resource needs and task dependencies, to meet project deliverables with a focus on incremental and iterative delivery. Engineering Craftsmanship Participate in defining project scope, objectives, and quality controls for new projects, ensuring alignment with customer-centric engineering principles. Present and communicate project deliverable results, emphasizing the value delivered to customers and the business. Customer-Centric Engineering Assist in recruiting and mentoring team members, fostering a culture of engineering craftsmanship and continuous learning. Incremental and Iterative Delivery Stay abreast of changes in technology, leading new technology evaluations for predictive and statistical analytics, and advocating for innovative, lean, and feasible solutions. Education: Bachelor’s degree in Computer Science or Business Information Systems or MCA or equivalent degree. Qualifications: 2 to 5 years Advanced Level of experience in Azure Data engineering Expertise in Development, deployment and monitoring ADF pipelines (using visual studio and browsers) Expertise in Azure databricks internal programming using (PySpark, SparkR and SparkSQL) or Amazon EMR (Elastic MapReduce). Expertise in managing azure storage (Azure Datalake Gen2, Azure Blob Storage, Azure SQL database) or Azure Blob Storage, Azure Data Lake Storage, Azure Synapse Analytics, Azure Data Factory Advanced programming skills in Python, R and SQL (SQL for HANA, MS SQL) Hands on experience in Visualization tools (Tableau / PowerBI) Hands on experience in Data science studios like (Dataiku, Azure ML studio, Amazon SageMaker) The Team Information Technology Services (ITS) helps power Deloitte’s success. ITS drives Deloitte, which serves many of the world’s largest, most respected organizations. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. The ~3,000 professionals in ITS deliver services including: Security, risk & compliance Technology support Infrastructure Applications Relationship management Strategy Deployment PMO Financials Communications Product Engineering (PxE) Product Engineering (PxE) is the internal software and applications development team responsible for delivering leading-edge technologies to Deloitte professionals. Their broad portfolio includes web and mobile productivity tools that empower our people to log expenses, enter timesheets, book travel and more, anywhere, anytime. PxE enables our client service professionals through a comprehensive suite of applications across the business lines. In addition to application delivery, PxE offers full-scale design services, a robust mobile portfolio, cutting-edge analytics, and innovative custom development. How you will grow At Deloitte, we have invested a great deal to create a rich environment in which our professionals can grow. We want allourpeopletodevelopintheirownway,playingtotheirownstrengthsastheyhonetheirleadershipskills.And,asa part of our efforts, we provide our professionals with a variety of learning and networking opportunities—including exposure to leaders, sponsors, coaches, and challenging assignments—to help accelerate their careers along the way. Notwopeoplelearninexactlythesameway.So,weprovidearangeofresources,includingliveclassrooms,team-based learning, and eLearning. Deloitte University (DU): The Leadership Center in India, our state-of-the-art, world-class learningcenterintheHyderabadoffice,isanextensionoftheDUinWestlake,Texas,andrepresentsatangiblesymbol of our commitment to our people’s growth and development. Explore DU: The Leadership Center inIndia . Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Deloitte’s culture Ourpositiveandsupportivecultureencouragesourpeopletodotheirbestworkeveryday.Wecelebrateindividualsby recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered,confident,andaware.Weofferwell-beingprogramsandarecontinuouslylookingfornewwaystomaintaina culture that is inclusive, invites authenticity, leverages our diversity, and where our people excel and lead healthy, happy lives. Learn more about Life atDeloitte. Corporate citizenship Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people, and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’s impact on the world. Disclaimer: Please note that this description is subject to change basis business/engagement requirements and at the discretion of the management. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 302720

Develop and maintain cloud-based data pipelines using tools like Apache Airflow or AWS Glue Support ETL processes and ensure data quality and consistency Monitor and troubleshoot cloud infrastructure performance Implement data security & compliance

About the Job : We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. In this pivotal role, you will be instrumental in driving our data engineering initiatives, with a strong emphasis on leveraging Dataiku's capabilities to enhance data processing and analytics. You will be responsible for designing, developing, and optimizing robust data pipelines, ensuring seamless integration of diverse data sources, and maintaining high data quality and accessibility to support our business intelligence and advanced analytics projects. This role requires a unique blend of expertise in traditional data engineering principles, advanced data modeling, and a forward-thinking approach to integrating cutting-AI technologies, particularly LLM Mesh for Generative AI applications. If you are passionate about building scalable data solutions and are eager to explore the cutting edge of AI, we encourage you to apply. Key Responsibilities : - Dataiku Leadership : Drive data engineering initiatives with a strong emphasis on leveraging Dataiku capabilities for data preparation, analysis, visualization, and the deployment of data solutions. - Data Pipeline Development : Design, develop, and optimize robust and scalable data pipelines to support various business intelligence and advanced analytics projects. This includes developing and maintaining ETL/ELT processes to automate data extraction, transformation, and loading from diverse sources. - Data Modeling & Architecture : Apply expertise in data modeling techniques to design efficient and scalable database structures, ensuring data integrity and optimal performance. - ETL/ELT Expertise : Implement and manage ETL processes and tools to ensure efficient and reliable data flow, maintaining high data quality and accessibility. - Gen AI Integration : Explore and implement solutions leveraging LLM Mesh for Generative AI applications, contributing to the development of innovative AI-powered features. - Programming & Scripting : Utilize programming languages such as Python and SQL for data manipulation, analysis, automation, and the development of custom data solutions. - Cloud Platform Deployment : Deploy and manage scalable data solutions on cloud platforms such as AWS or Azure, leveraging their respective services for optimal performance and cost-efficiency. - Data Quality & Governance : Ensure seamless integration of data sources, maintaining high data quality, consistency, and accessibility across all data assets. Implement data governance best practices. - Collaboration & Mentorship : Collaborate closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver impactful solutions. Potentially mentor junior team members. - Performance Optimization : Continuously monitor and optimize the performance of data pipelines and data systems. Required Skills & Experience : - Proficiency in Dataiku : Demonstrable expertise in Dataiku for data preparation, analysis, visualization, and building end-to-end data pipelines and applications. - Expertise in Data Modeling : Strong understanding and practical experience in various data modeling techniques (e.g., dimensional modeling, Kimball, Inmon) to design efficient and scalable database structures. - ETL/ELT Processes & Tools : Extensive experience with ETL/ELT processes and a proven track record of using various ETL tools (e.g., Dataiku's built-in capabilities, Apache Airflow, Talend, SSIS, etc.). - Familiarity with LLM Mesh : Familiarity with LLM Mesh or similar frameworks for Gen AI applications, understanding its concepts and potential for integration. - Programming Languages : Strong proficiency in Python for data manipulation, scripting, and developing data solutions. Solid command of SQL for complex querying, data analysis, and database interactions. - Cloud Platforms : Knowledge and hands-on experience with at least one major cloud platform (AWS or Azure) for deploying and managing scalable data solutions (e.g., S3, EC2, Azure Data Lake, Azure Synapse, etc.). - Gen AI Concepts : Basic understanding of Generative AI concepts and their potential applications in data engineering. - Problem-Solving : Excellent analytical and problem-solving skills with a keen eye for detail. - Communication : Strong communication and interpersonal skills to collaborate effectively with cross-functional teams. Bonus Points (Nice to Have) : - Experience with other big data technologies (e.g., Spark, Hadoop, Snowflake). - Familiarity with data governance and data security best practices. - Experience with MLOps principles and tools. - Contributions to open-source projects related to data engineering or AI. Education : Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field.

About BNP Paribas India Solutions: Established in 2005, BNP Paribas India Solutions is a wholly owned subsidiary of BNP Paribas SA, European Union’s leading bank with an international reach. With delivery centers located in Bengaluru, Chennai and Mumbai, we are a 24x7 global delivery center. India Solutions services three business lines: Corporate and Institutional Banking, Investment Solutions and Retail Banking for BNP Paribas across the Group. Driving innovation and growth, we are harnessing the potential of over 10000 employees, to provide support and develop best-in-class solutions. About BNP Paribas Group: BNP Paribas is the European Union’s leading bank and key player in international banking. It operates in 65 countries and has nearly 185,000 employees, including more than 145,000 in Europe. The Group has key positions in its three main fields of activity: Commercial, Personal Banking & Services for the Group’s commercial & personal banking and several specialised businesses including BNP Paribas Personal Finance and Arval; Investment & Protection Services for savings, investment, and protection solutions; and Corporate & Institutional Banking, focused on corporate and institutional clients. Based on its strong diversified and integrated model, the Group helps all its clients (individuals, community associations, entrepreneurs, SMEs, corporates and institutional clients) to realize their projects through solutions spanning financing, investment, savings and protection insurance. In Europe, BNP Paribas has four domestic markets: Belgium, France, Italy, and Luxembourg. The Group is rolling out its integrated commercial & personal banking model across several Mediterranean countries, Turkey, and Eastern Europe. As a key player in international banking, the Group has leading platforms and business lines in Europe, a strong presence in the Americas as well as a solid and fast-growing business in Asia-Pacific. BNP Paribas has implemented a Corporate Social Responsibility approach in all its activities, enabling it to contribute to the construction of a sustainable future, while ensuring the Group's performance and stability Commitment to Diversity and Inclusion At BNP Paribas, we passionately embrace diversity and are committed to fostering an inclusive workplace where all employees are valued, respected and can bring their authentic selves to work. We prohibit Discrimination and Harassment of any kind and our policies promote equal employment opportunity for all employees and applicants, irrespective of, but not limited to their gender, gender identity, sex, sexual orientation, ethnicity, race, colour, national origin, age, religion, social status, mental or physical disabilities, veteran status etc. As a global Bank, we truly believe that inclusion and diversity of our teams is key to our success in serving our clients and the communities we operate in. About Business line/Function: ISPL Compliance Hub is focused to protect the reputation of the Group and effectively manage risk across all business areas by providing support to various Compliance functions. At present, the department is broadly organized into divisions, which embed into the areas they support to provide services for Global Compliance Training, Capital Markets Surveillance, Electronic Communication Surveillance, Compliance Migrations Co-Ordination, Personal Account Dealing, MIS and Projects support. The team works closely with business partners in CIB and the wider group Job Title: Assistant Manager - AML TM Position Purpose We are looking for a permanent staff, based in Mumbai, India to support AML process leader (COO TOP) objectives and support AML TM monitoring & project initiatives for various compliance domains within BNP Paribas Group (i.e. Securities Service, CIB, Correspondent Banking, Wealth Management, etc.). The individual will also act as project coordinators between IT, Central, Regional & country compliance. Other Responsibilities Support in preparing, distributing KPI, reports, dashboards and process metrics Responsibilities Direct Responsibilities · Support AML transaction monitoring fine tuning activities, review existing AML & TM Thresholds as assigned · propose enhancements/alterations/Scope extension after analysing the impact on true matches & SAR impact o ensure proper documentation of activities performed along with analysis results (i,e. proposed new thresholds) and corresponding logic/ impact, if any o Communicate results of threshold or model review and obtain Onshore & Local compliance validation · Provide recommendation on methods as AML monitoring process, Back testing and Fine-Tuning methodologies ( ATL/BTL & Percentile, etc.), Organization & Set up required. · Contribute to various project initiatives to support AML Process leader (e.g. organizing meetings, project documentation and collaboration with stakeholders, etc. as per project requirements) · Support AML Tool Model enhancement o Resolving the data quality issue of alerts monitored in AML Tool; o Changing the parameter to avoid false positive hits for the L1 users · Contribute to preparation / distribution of dashboards (KPIs) · Extend support to ongoing or new initiatives / studies to further improve AML monitoring framework. Also support in UAT, alert volume analysis, as assigined and end-user trainings on the AML system to compliance users · Support the functional Specification process, including the review of the data analysis, mapping and translation routines documents · Always ensure regulatory adherence and compliance Contributing Responsibilities · Support local compliance on monthly alert monitoring activity performed on exceptional scenarios not covered via AML tool. · Support review of AML data model, Detection scenario logic, and case manager configurations to ensure they follow set requirements, global/local standards · Support the management of the global standards. Document local requirements and support the process of global standard extension as well as local exceptions management. o Support documentation needs for requirements, test plans, standards, and any other need. o Support the functional Specification process, including the review of the data analysis, mapping and translation routines documents and provide business input. Contribute to maintaining Process KPIs up-to-date and sharing KPIs with stakeholders on a timely manner Technical & Behavioral Competencies Strong understanding of Anti-Money Laundering concepts and TM methodologies Ability to collaborate effectively with global stakeholders, end users and cross-functional teams Project management skills, Organizational and presentation skills, especially in AML TM domain is preferred Able to work independently on assigned projects with limited supervision by displaying excellent interpersonal, communication skills and is able to translate group objectives into measurable KPIs for team. Excellent communication skills in English Knowledge of data analysis tools (Excel, Macro, PowerBI, Dataiku, etc.) will be an added advantage. Specific Qualifications (if required) Relevant Experience required: Associate: Minimum 5 yrrs Prior experience of fine tuning AML models, TM threshold analysis, working with AML/Compliance teams in a global environment, exposure to Tools such as Actimize, NetReveal and Thetaray Evidence of Continuous learning and upgrading in AML/CTF domain, certifications like CAMS, ICA and similar will be highly valued (good to have) Experience handling tasks in a Financial Securities and/or compliance domain (good to have) Skills Referential Behavioural Skills : (Please select up to 4 skills) Ability to collaborate / Teamwork Attention to detail / rigor Ability to deliver / Results driven Communication skills - oral & written Transversal Skills: (Please select up to 5 skills) Ability to understand, explain and support change Ability to anticipate business / strategic evolution Ability to manage / facilitate a meeting, seminar, committee, training… Ability to understand, explain and support change Ability to set up relevant performance indicators Education Level: Bachelor Degree or equivalent Experience Level Minimum 5 years Other/Specific Qualifications (if required)

You will support the Analytics solutions team in ramping up F&A analytics and reporting practice using the Dataiku platform. Your primary responsibilities will include partnering with internal stakeholders and clients to identify, analyze, and deliver analytics and automation solutions using Dataiku. You will be expected to translate business requirements into technical solutions and manage the end-to-end delivery of Dataiku-based projects. Additionally, you will need to communicate technical infrastructure requirements to deploy automation solutions and convert solutions to tools and products. A key aspect of your role will be to lead and mentor a team of junior resources, enabling skill development in Dataiku, data engineering, and machine learning workflows. In this position, it is essential that you can identify F&A automation opportunities in the client environment and perform end-to-end automation operations. As a Senior Dataiku developer with over 6 years of experience, you should have a proven track record in building dynamic workflows, models, and pipelines. You must have experience in developing custom formulas, applications, and plugins within the Dataiku DSS environment and integrating and working with Snowflake. A good understanding of SQL is required, along with experience integrating Dataiku with enterprise systems such as SAP, Oracle, or cloud data platforms. A balance of analytical problem-solving and strong interpersonal and relationship development skills is a must. Your technical skills should include hands-on experience in Dataiku, Alteryx, SQL, Power BI, and Snowflake. You should be proficient in creating data pipelines for data ingestion, transformation, and output within the Dataiku platform. An understanding of Python and R scripting within Dataiku is considered a strong plus. Moreover, you should have a strong working knowledge of JIRA for agile project and task tracking. Desired soft skills for this role include excellent presentation, verbal, and written communication skills, as well as strong analytical skills and an aptitude for problem-solving, including data analysis and validation. You should be able to work both independently and as part of a team effectively. To be considered for this position, you should have 5-12 years of total analytics experience, with at least 6 years of experience specifically in Dataiku. Additionally, having 1-2 years of working experience in Insurance Analytics would be beneficial.,

As a Data Engineer, you will be responsible for leveraging your specialized skills in data engineering tools such as Python, Dataiku, Spark, and SAS DI to support our clients in their Data and Analytics journey. Working closely with clients, you will drive data initiatives, design and implement data integration solutions, optimize data workflows, and ensure data quality and consistency across the data warehouse. Your key responsibilities will include collaborating with clients to define data initiatives based on business needs, developing and maintaining automated data pipelines, conducting performance tuning and optimization of queries and data models, and designing and implementing database objects. You will also work with cross-functional teams to gather requirements, troubleshoot and resolve data-related issues, and provide technical support to the development team. To excel in this role, you must possess experience with data engineering tools such as Python, Dataiku, Spark, and SAS data integration, along with strong SQL skills. Knowledge of the banking domain and experience with BI tools like Microstrategy and Power BI would be advantageous. Additionally, you should have a solid understanding of data modeling concepts, excellent analytical skills, and the ability to communicate effectively with business users to translate their requirements into technical specifications. The ideal candidate will have 3+ years of experience in designing and developing efficient data integration solutions, along with technical certifications that demonstrate a commitment to continuous learning. You should be adept at problem-solving, influencing change, and working effectively in self-organized, cross-functional teams. Proficiency in English and strong communication skills are essential for collaborating with clients across geographies and presenting technical information persuasively. If you are enthusiastic about data engineering and possess the necessary skills and qualities to drive data initiatives, optimize data workflows, and collaborate seamlessly with clients, we invite you to join our team in Bangalore or Chennai on a full-time basis.,

As a Data Analyst in the Financial Crime Surveillance Operations (FCSO) Performance and Metrics Management function at Standard Chartered Bank, your primary responsibility will be to interpret data and transform it into valuable information that influences business processes and decisions within FCSO. You will gather data from various sources, analyze patterns and trends, and present the information in a digestible format through the FCSO Scorecard. It is essential to possess strong analytical skills and a keen curiosity to comprehend and derive meaning from data. Your key responsibilities will include acquiring a detailed understanding of data sourcing and visualization tools, defining clear business requirements for FCSO data, creating and maintaining documentation for data extraction processes, collaborating with downstream business process owners to enhance data quality and effectiveness, analyzing upstream changes impacting FCSO data, identifying areas for process improvement, producing insightful dashboards and reports for stakeholders, and participating in Agile Ceremonies as a functional data expert. You will work closely with the FCSO Management Team, Data Squads, Data Quality Analysts, upstream data teams, and downstream Process Owners to meet data requirements and facilitate data transformation. Additionally, you will be responsible for embedding ethical conduct and regulatory compliance in all data-related activities, following change governance processes, and resolving risk and compliance matters collaboratively. To excel in this role, you should have 8-10 years of industry experience as a Business/Data Analyst, with expertise in data analysis using tools such as Tableau, Dataiku, MSTR, SQL, and Excel. Proficiency in data management techniques, advanced technical skills, and knowledge of Agile development methodologies are essential. Strong stress management and communication skills are crucial for effective collaboration with cross-functional teams and stakeholders. As part of the FCSO Data and Reporting team, you will contribute to strategic solutions and initiatives, drive business requirements for data management, and support risk management efforts. Continuous learning and adherence to Standard Chartered Bank's values and code of conduct are integral to your role as a Data Analyst. If you are passionate about leveraging data to drive business decisions, thrive in a dynamic environment, and possess the necessary skills and experience, we invite you to join our team at Standard Chartered and contribute to our mission of driving commerce and prosperity through diversity and inclusion. For more information and to explore career opportunities with us, visit www.sc.com/careers.,

Wipro Limited is a leading technology services and consulting company dedicated to creating innovative solutions that cater to the complex digital transformation needs of clients. With a comprehensive range of capabilities in consulting, design, engineering, and operations, we assist clients in achieving their most ambitious goals and establishing future-ready, sustainable businesses. Our global presence spans over 65 countries with a workforce of more than 230,000 employees and business partners, committed to supporting our customers, colleagues, and communities in adapting to an ever-evolving world. For more information, please visit our website at www.wipro.com. As a Data Engineer with a minimum of 7 years of experience, including at least 2 years of project delivery experience in DataIku platforms, you will be responsible for configuring and optimizing Dataiku's architecture. This includes managing data connections, security settings, and workflow optimization to ensure seamless operations. Your expertise in Dataiku recipes, Designer nodes, API nodes, and Automation nodes will be instrumental in deploying custom workflows and scripts using Python. Collaboration is key in this role, as you will work closely with data analysts, business stakeholders, and clients to gather requirements and translate them into effective solutions within the DataIku environment. Your ability to independently navigate a fast-paced environment and apply strong analytical and problem-solving skills will be crucial in meeting project timelines and objectives. Additionally, familiarity with agile development methodologies and experience with Azure DevOps for CR/Production deployment implementation are highly desirable. Join us in reinventing the digital landscape at Wipro, where we encourage constant evolution and empower individuals to shape their professional growth. We welcome applications from individuals with disabilities to contribute to our diverse and inclusive workforce.,

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire Python 3 Professionals in the following areas : Job Description Full stack Software Engineer- Python + Angular | Experience – 5 to 8 years Essential Responsibilities And Duties Strong Experience in Python and/or Java: Proven experience (5+ years) in backend development with Python or Java, focusing on building scalable and maintainable applications. Angular Development Expertise: Strong hands-on experience in developing modern, responsive web applications using Angular. Microservices Architecture: In-depth knowledge of designing, developing, and deploying microservices-based architectures. DevOps Understanding: Good understanding of DevOps practices, CI/CD pipelines, and tools to automate deployment and operations. Problem-Solving Skills: Ability to investigate, analyse, and resolve complex technical issues efficiently. Adaptability: Strong aptitude for learning and applying new technologies in a fast-paced environment. Cloud Environments Knowledge: Hands-on experience with at least one cloud platform (GCP, Azure, AWS). Containerization Technologies: Experience working with container technologies like Kubernetes and Docker for application deployment and orchestration. Technology Python 3 Angular Cloud technology (GCP / Azure / AWS). Understand Docker, Kubernetes. Previous Experience And Competencies Bachelor’s degree in IT related discipline Strong computer literacy with aptitude and readiness for multidiscipline training 5 – 8 years seniority (Senior and Hands on) Preferred Qualifications Strong in Software Engineering. Interest in designing, analysing and troubleshooting large-scale distributed systems. Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive. Ability to debug and optimize code and automate routine tasks. Good to have: Familiarity with data integration platforms like Dataiku or industrial data platforms like Cognite would be a bonus Behavior Fosters and maintains excellent internal, client and third-party relationships Possesses a high degree of initiative Adaptable and willing to learn new technologies; keeps abreast of key developments in relevant technologies Able to work under pressure Excellent oral, written communication, and interpersonal skills Practices effective listening techniques Able to work independently or as part of a team Effectively analyses and solves problems with attention to the root cause At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture

Job Description Associate, Data Transfer, Integration & Quality II At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world’s financial system we touch nearly 20% of the world’s investible assets. Every day around the globe, our 50,000+ employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities and people everywhere. We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what is all about. We’re seeking a future team member for the role of Associate, Data Transfer, Integration & Quality II to join our Wealth Management Data Governance team. This role is located in Pune, MH – HYBRID. In this role, you’ll make an impact in the following ways: This is a unique opportunity to join Data Governance team and help be a pivotal part of Wealth Managements data transformation. The team was formed to establish robust data management and governance practices as well develop a data hub that makes information accessible and actionable to our front-line business partners. The individual in this role will have the opportunity to learn industry best practices for data management, data quality, refine their data wrangling skills, learn more about the Wealth Management and serve up data driven insights to our business partners. One of the team’s primary objectives is to implement a collaborative data platform for a more streamlined way of moving, transforming, analyzing, and communicating information. This will require the analyst to build relationships with key stakeholders, to work with internal clients to understand their data needs, and to partner with IT to deliver data solutions. A key tool for the team is Collibra, CDQ and DataIku. Collibra, CDQ and Dataiku provides most of the functions needed to perform the role. i.e. connections to databases, IDE functionality, SQL functions, Jupyter notebooks. SQL software is needed to connect to certain data bases. Deliver value and deliver value frequently Build and maintain relationships with key stakeholders in WM Businesses and IT Translates complex technical concepts and analyses to non-technical audiences Prepares ad-hoc reports at the request of managers and/or other leaders Build BI and machine learning prototypes and derive actionable insights for the Businesses To be successful in this role, we’re seeking the following: B Tech/BE/BS Degree (stats, math, engineering degrees are a plus) 3+ years of Experience working in Data Quality and Data Management 2+ years of experience with Collibra, CDQ Excellent interpersonal and client-facing skills 2+ years of experience with SQL Good knowledge on Snowflake Passion for helping others succeed Passion for learning new skills Self-starter Dataiku experience is good to have Experience in financial industry is preferred Good knowledge of Excel Agile experience is a plus At BNY, our culture speaks for itself. Here’s a few of our awards: America’s Most Innovative Companies, Fortune, 2024 World’s Most Admired Companies, Fortune 2024 Human Rights Campaign Foundation, Corporate Equality Index, 100% score, 2023-2024 Best Places to Work for Disability Inclusion , Disability: IN – 100% score, 2023-2024 “Most Just Companies”, Just Capital and CNBC, 2024 Dow Jones Sustainability Indices, Top performing company for Sustainability, 2024 Bloomberg’s Gender Equality Index (GEI), 2023 Our Benefits And Rewards BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

About the Job : We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. In this pivotal role, you will be instrumental in driving our data engineering initiatives, with a strong emphasis on leveraging Dataiku's capabilities to enhance data processing and analytics. You will be responsible for designing, developing, and optimizing robust data pipelines, ensuring seamless integration of diverse data sources, and maintaining high data quality and accessibility to support our business intelligence and advanced analytics projects. This role requires a unique blend of expertise in traditional data engineering principles, advanced data modeling, and a forward-thinking approach to integrating cutting-AI technologies, particularly LLM Mesh for Generative AI applications. If you are passionate about building scalable data solutions and are eager to explore the cutting edge of AI, we encourage you to apply. Key Responsibilities : - Dataiku Leadership : Drive data engineering initiatives with a strong emphasis on leveraging Dataiku capabilities for data preparation, analysis, visualization, and the deployment of data solutions. - Data Pipeline Development : Design, develop, and optimize robust and scalable data pipelines to support various business intelligence and advanced analytics projects. This includes developing and maintaining ETL/ELT processes to automate data extraction, transformation, and loading from diverse sources. - Data Modeling & Architecture : Apply expertise in data modeling techniques to design efficient and scalable database structures, ensuring data integrity and optimal performance. - ETL/ELT Expertise : Implement and manage ETL processes and tools to ensure efficient and reliable data flow, maintaining high data quality and accessibility. - Gen AI Integration : Explore and implement solutions leveraging LLM Mesh for Generative AI applications, contributing to the development of innovative AI-powered features. - Programming & Scripting : Utilize programming languages such as Python and SQL for data manipulation, analysis, automation, and the development of custom data solutions. - Cloud Platform Deployment : Deploy and manage scalable data solutions on cloud platforms such as AWS or Azure, leveraging their respective services for optimal performance and cost-efficiency. - Data Quality & Governance : Ensure seamless integration of data sources, maintaining high data quality, consistency, and accessibility across all data assets. Implement data governance best practices. - Collaboration & Mentorship : Collaborate closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver impactful solutions. Potentially mentor junior team members. - Performance Optimization : Continuously monitor and optimize the performance of data pipelines and data systems. Required Skills & Experience : - Proficiency in Dataiku : Demonstrable expertise in Dataiku for data preparation, analysis, visualization, and building end-to-end data pipelines and applications. - Expertise in Data Modeling : Strong understanding and practical experience in various data modeling techniques (e.g., dimensional modeling, Kimball, Inmon) to design efficient and scalable database structures. - ETL/ELT Processes & Tools : Extensive experience with ETL/ELT processes and a proven track record of using various ETL tools (e.g., Dataiku's built-in capabilities, Apache Airflow, Talend, SSIS, etc.). - Familiarity with LLM Mesh : Familiarity with LLM Mesh or similar frameworks for Gen AI applications, understanding its concepts and potential for integration. - Programming Languages : Strong proficiency in Python for data manipulation, scripting, and developing data solutions. Solid command of SQL for complex querying, data analysis, and database interactions. - Cloud Platforms : Knowledge and hands-on experience with at least one major cloud platform (AWS or Azure) for deploying and managing scalable data solutions (e.g., S3, EC2, Azure Data Lake, Azure Synapse, etc.). - Gen AI Concepts : Basic understanding of Generative AI concepts and their potential applications in data engineering. - Problem-Solving : Excellent analytical and problem-solving skills with a keen eye for detail. - Communication : Strong communication and interpersonal skills to collaborate effectively with cross-functional teams. Bonus Points (Nice to Have) : - Experience with other big data technologies (e.g., Spark, Hadoop, Snowflake). - Familiarity with data governance and data security best practices. - Experience with MLOps principles and tools. - Contributions to open-source projects related to data engineering or AI. Education : Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field.

The purpose of the role is to define and develop Enterprise Data Structure along with Data Warehouse, Master Data, Integration and transaction processing with maintaining and strengthening the modelling standards and business information. Do 1. Define and Develop Data Architecture that aids organization and clients in new/ existing deals a. Partnering with business leadership (adopting the rationalization of the data value chain) to provide strategic, information-based recommendations to maximize the value of data and information assets, and protect the organization from disruptions while also embracing innovation b. Assess the benefits and risks of data by using tools such as business capability models to create an data-centric view to quickly visualize what data matters most to the organization, based on the defined business strategy c. Create data strategy and road maps for the Reference Data Architecture as required by the clients d. Engage all the stakeholders to implement data governance models and ensure that the implementation is done based on every change request e. Ensure that the data storage and database technologies are supported by the data management and infrastructure of the enterprise f. Develop, communicate, support and monitor compliance with Data Modelling standards g. Oversee and monitor all frameworks to manage data across organization h. Provide insights for database storage and platform for ease of use and least manual work i. Collaborate with vendors to ensure integrity, objectives and system configuration j. Collaborate with functional & technical teams and clients to understand the implications of data architecture and maximize the value of information across the organization k. Presenting data repository, objects, source systems along with data scenarios for the front end and back end usage l. Define high-level data migration plans to transition the data from source to target system/ application addressing the gaps between the current and future state, typically in sync with the IT budgeting or other capital planning processes m. Knowledge of all the Data service provider platforms and ensure end to end view. n. Oversight all the data standards/ reference/ papers for proper governance o. Promote, guard and guide the organization towards common semantics and the proper use of metadata p. Collecting, aggregating, matching, consolidating, quality-assuring, persisting and distributing such data throughout an organization to ensure a common understanding, consistency, accuracy and control q. Provide solution of RFPs received from clients and ensure overall implementation assurance i. Develop a direction to manage the portfolio of all the databases including systems, shared infrastructure services in order to better match business outcome objectives ii. Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution for the big/small data iii. Provide technical leadership to the implementation of custom solutions through thoughtful use of modern technology iv. Define and understand current issues and problems and identify improvements v. Evaluate and recommend solutions to integrate with overall technology ecosystem keeping consistency throughout vi. Understand the root cause problem in integrating business and product units vii. Validate the solution/ prototype from technology, cost structure and customer differentiation point of view viii. Collaborating with sales and delivery leadership teams to identify future needs and requirements ix. Tracks industry and application trends and relates these to planning current and future IT needs 2. Building enterprise technology environment for data architecture management a. Develop, maintain and implement standard patterns for data layers, data stores, data hub & lake and data management processes b. Evaluate all the implemented systems to determine their viability in terms of cost effectiveness c. Collect all the structural and non-structural data from different places integrate all the data in one database form d. Work through every stage of data processing: analysing, creating, physical data model designs, solutions and reports e. Build the enterprise conceptual and logical data models for analytics, operational and data mart structures in accordance with industry best practices f. Implement the best security practices across all the data bases based on the accessibility and technology g. Strong understanding of activities within primary discipline such as Master Data Management (MDM), Metadata Management and Data Governance (DG) h. Demonstrate strong experience in Conceptual, Logical and physical database architectures, design patterns, best practices and programming techniques around relational data modelling and data integration 3. Enable Delivery Teams by providing optimal delivery solutions/ frameworks a. Build and maintain relationships with delivery and practice leadership teams and other key stakeholders to become a trusted advisor b. Define database physical structure, functional capabilities, security, back-up and recovery specifications c. Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results d. Monitor system capabilities and performance by performing tests and configurations e. Integrate new solutions and troubleshoot previously occurred errors f. Manages multiple projects and accurately reports the status of all major assignments while adhering to all project management standards g. Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects h. Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams i. Recommend tools for reuse, automation for improved productivity and reduced cycle times j. Help the support and integration team for better efficiency and client experience for ease of use by using AI methods. k. Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams l. Ensures architecture principles and standards are consistently applied to all the projects m. Ensure optimal Client Engagement i. Support pre-sales team while presenting the entire solution design and its principles to the client ii. Negotiate, manage and coordinate with the client teams to ensure all requirements are met iii. Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor Mandatory Skills: Dataiku. Experience: 8-10 Years.

Summary Provide sales force analytics support to Novartis internal customers (Countries & Regional marketing and sales teams) on various high complexity sales force analytical reports. Facilitate data enabled decision making for Novartis internal customers by providing and communicating qualitative and quantitative analytics. Support business in building practice by involving in various initiatives like knowledge sharing, on-boarding and training support, support team lead in all business related tasks / activities, building process documentation and knowledge repositories. Responsible for delivering Call plans/Alignments to support the Field teams in reaching HCPs/Patients. Planning and guiding other team members to achieve 100% accuracy and timeliness. About the Role About the Role: Acts as a function level SME, works on multiple client engagements with collaborating with teams members to produce high quality results. Provide though leadership and innovation, lead initiatives of process excellence and possesses very strong analytical skills Your responsibilities include, but are not limited to: Help develops new service offerings in close collaboration with functional and account management teams and Build and deliver below customer requirements as per agreed SLAs (timeliness, accuracy, quality, etc) and drive excellent customer service Create and deliver below customer requirements as per agreed SLAs (timeliness, accuracy, quality, etc) and drive excellent customer service o Territory alignment o Call plan management o Territory action plan report Deliver services through structured project management approach with appropriate documentation and communication throughout the delivery of services Create and maintain standard operating procedures (SOPs), quality checklists that will enable excellent quality outputs for all outputs within the function Develop and maintain knowledge repositories that captures qualitative and quantitative reports of brands, disease areas, macroeconomic trends of Novartis operating markets, etc Support team leaders in recruitment and on-boarding of new associates within the organization Hands on to Customer segmentation & targeting, Field-force optimization, Territory alignment, Incentive compensation (Plan-Design-Admin), Territory sales performance reports, Activity (QTQ) performance reports, Others SFE support, Call plan management and Territory action plan report Deliver services through structured project management approach with appropriate documentation and communication throughout the delivery of services What you’ll bring to the role: Should be customer service oriented and strong and proactive business results-focus, and proven track record to provide insights that increase efficiency Support team leaders in recruitment and on-boarding of new associates within the organization. Leads capability building by actively prioritizing various knowledge sharing sessions that enables growth and improves quality of CSP Hyd deliverables across the function. Stay in sync with all internal functional operating procedures like time tracking, critical metric tracking and strong analytical thinking with problem solving approach. Build and maintain standard operating procedures (SOPs), quality checklists that will enable excellent quality outputs for all outputs within the function. Develop and maintain knowledge repositories that captures qualitative and quantitative reports of brands, disease areas, macroeconomic trends of Novartis operating markets, etc. Reporting, and other internal systems and processes. Comply to all Novartis operating procedures as per legal / IT / HR requirements Active participation in various knowledge sharing sessions that enables growth and improves quality of deliverables across the function and Comply with all internal functional operating procedures like time tracking, KPI tracking and reporting, and other internal systems and processes Desirable requirements: University/Advanced degree is required, Master’s degree in fields such as business administration, finance, computer science or technical field is preferred Experience (6+ years) in |Hands-On | Snowflake (SQL), ETL, Data Model Design IC, Pharma Analytics in a market research firm or pharmaceutical company or Pharma KPO and should have an understanding of Pharmaceutical business including its regulatory environment. Min if 2 years of experience in leading a project by collaborating across multiple teams with Pharma background is preferred. Hands on to Dataiku, Zaidyn, JCPM, Python, SQL, Excel, PowerPoint , JTD (for territory alignment) People management and good presentation skills are required. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Division International Business Unit Universal Hierarchy Node Location India Site Hyderabad (Office) Company / Legal Entity IN10 (FCRS = IN010) Novartis Healthcare Private Limited Functional Area Marketing Job Type Full time Employment Type Regular Shift Work No Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [email protected] and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

Summary Provide analytics support to Novartis internal customers (Countries & Regional marketing and sales teams) on various low-medium complexity analytical reports. -Support and facilitate data enabled decision making for Novartis internal customers by providing and communicating qualitative and quantitative analytics. -Support business in building practice by involving in various initiatives like knowledge sharing, on-boarding and training support, support team lead in all business related tasks / activities, building process documentation and knowledge repositories -To be an integral part of a comprehensive design team responsible for designing promotional marketing materials. Responsible for delivering Call plans/Alignments to support the Field teams in reaching HCPs/Patients. About the Role About the Role: Acts as a function level SME, works on multiple client engagements with collaborating with teams members to produce high quality results. Provide though leadership and innovation, lead initiatives of process excellence and possesses very strong analytical skills Your responsibilities include, but are not limited to: Help develops new service offerings in close collaboration with functional and account management teams The responsibilities for this role include but not limited to deliver Call planning/ Refinements / Territory Alignments / Incentives independently with high quality, on time, error-free and in line with requirements. Able to communicate effectively and handle client calls independently. Should be able to contribute to ideas in team huddles for process improvements. Continuously improve processes by eliminating redundancies and inefficient process.- Should have proven ability to guide and Onboard new members quickly. Should be able to cross collaborate and identify bottle necks in newer processes or launches Build and deliver below customer requirements as per agreed SLAs (timeliness, accuracy, quality, etc) and drive excellent customer service Hands on to Customer segmentation & targeting, Field-force optimization, Territory alignment, Incentive compensation (Plan-Design-Admin), Territory sales performance reports, Activity (QTQ) performance reports, Others SFE support, Call plan management and Territory action plan report Deliver services through structured project management approach with appropriate documentation and communication throughout the delivery of services What you’ll bring to the role: Should be customer service oriented and strong and proactive business results-focus, and proven track record to provide insights that increase efficiency Support team leaders in recruitment and on-boarding of new associates within the organization. Leads capability building by actively prioritizing various knowledge sharing sessions that enables growth and improves quality of CSP Hyd deliverables across the function. Stay in sync with all internal functional operating procedures like time tracking, critical metric tracking and strong analytical thinking with problem solving approach. Build and maintain standard operating procedures (SOPs), quality checklists that will enable excellent quality outputs for all outputs within the function. Develop and maintain knowledge repositories that captures qualitative and quantitative reports of brands, disease areas, macroeconomic trends of Novartis operating markets, etc. Reporting, and other internal systems and processes. Comply to all Novartis operating procedures as per legal / IT / HR requirements Desirable requirements: University/Advanced degree is required, Master’s degree in fields such as business administration, finance, computer science or technical field is preferred Experience (2+ years) in |Hands-On | Snowflake (SQL), ETL, Data Model Design IC, Pharma Analytics in a market research firm or pharmaceutical company or Pharma KPO and should have an understanding of Pharmaceutical business including its regulatory environment. Hands on to Dataiku, JCPM, JAMS, Python, SQL, Excel, Powerpoint, Zaidyn (good to have). Experience on JTD is required in case of Alignment hiring. Should be keen on learning new tools and techniques and adapt to technological transformations Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Division International Business Unit Universal Hierarchy Node Location India Site Hyderabad (Office) Company / Legal Entity IN10 (FCRS = IN010) Novartis Healthcare Private Limited Functional Area Marketing Job Type Full time Employment Type Regular Shift Work No Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [email protected] and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

Job Title : Senior Statistician Manager Location : Hyderabad Grade : L3-1 About The Job Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions. As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of advanced statistical methodologies to drive manufacturing excellence and ensure product quality across our global network. Our Global Statistical Support team acts as a cornerstone to this effort. We provide critical statistical expertise to all manufacturing sites worldwide, enabling data-driven decision making and continuous improvement. Our team members serve as trusted partners to manufacturing operations, quality assurance, and process development teams, delivering statistical insights that drive operational excellence and regulatory compliance. Main Responsibilities Orchestrating a global team of statisticians to deliver consistent, high-quality statistical support across manufacturing sites while fostering professional growth and technical excellence Partnering with statisticians located on manufacturing sites to anticipate statistical support needs and proactively align resources with business priorities Establishing priorities and KPIs to measure team effectiveness and demonstrate value creation for manufacturing operations Ensuring team members are well-trained to guarantee the precision of team outputs. Able to understand the business need (potentially translated from French), drive and conduct statistical analysis interacting with people having different cultures, different backgrounds (like pharmaceutical engineers) Designing and implementing statistical control charts to monitor and optimize manufacturing and analytical/quality control processes Conducting capability studies to assess process performance and identify improvement opportunities Leading statistical comparability analyses to ensure consistency across manufacturing sites and processes, to facilitate technology transfers, and compare suppliers performances Performing stability studies using linear and non-linear modeling approaches (i.e. thermokinetic models) Supporting method validation through robust statistical design and analysis Designing and analyzing experiments (DOE) to optimize process parameters and product quality Conducting exploratory statistical analyses to support manufacturing investigations and continuous improvement Performing various data analysis (mixed-effects model, MVDA, equivalence testing…) and modeling to meet customer needs Collaborating with cross-functional teams to translate statistical insights into actionable recommendations Delivering timely, actionable statistical reports and analyses to manufacturing sites worldwide, translating complex data into clear insights that address site-specific challenges while maintaining global quality standards. Understanding Statistical SOP and train colleagues to it Understanding Protocols and customers' needs About You Experience: Experience in management and statistical analysis in pharmaceutical or manufacturing environments. Soft skills: Outstanding communication skills to convey complex statistical concepts to diverse audiences in a multicultural environment (in term of language - non-native English speakers- and background -not always related to statistics. Leadership: Inspiring and guiding a diverse team of statisticians. Stakeholder Management: Effectively engaging with cross-functional partners. Meticulous attention to detail and commitment to scientific rigor. Strong analytical mindset with the ability to propose innovative solutions. Forward-thinking with excellent anticipation of potential challenges. Methodical/organized/rigorous. Passion for standardization and harmonization of statistical approaches Technical skills: Baseline Capabilities: Proficiency in statistical software: Expert knowledge of statistical tools, programming skills on software like SAS, JMP, R, Python, or Dataiku. Statistical methodology: Strong foundation in statistical process control, experimental design, and multivariate analysis. Manufacturing knowledge: Understanding of pharmaceutical manufacturing processes and quality requirements. Regulatory knowledge: Familiarity with statistical aspects of pharmaceutical regulations and guidelines Stretch Capabilities: Understanding of relational databases and familiarity with data management tools: MS SQL Server, MySQL and Snowflake. Data visualization: Experience creating compelling visual representations of complex data using Power BI, Streamlit, etc. Familiarity with Git/GitHub for version control. Education: Master's degree in Statistics Languages: Verbal and written fluency in English , French is a bonus Pursue progress, discover extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! null Pursue Progress . Discover Extraordinary . Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.

Dear Aspirant , Greetings from TCS ! TCS presents excellent opportunity for Data Science & AI/ML Architect (Traditional AI & Generative AI) Exp: 8- 20 Years Job Location: Chennai / Bangalore / Hyderabad / Mumbai / Pune / Kolkata / Delhi / Noida / Gurgaon ●Develop scalable AI/ML solutions that integrate seamlessly with existing systems and align with business objectives ●Experience in defining and designing robust AI/ML architectures on cloud platforms such as Azure, AWS, or Google Cloud. ●Handson experience on implementing solutions using RAG, Agentic AI, Langchain, MLOps ●Experience in implementing ethical AI practices and ensuring responsible AI usage in solutions. ●Proficient in using tools like TensorFlow, PyTorch, Hugging Face Transformers, OpenAI GPT, Stable Diffusion, DALL-E, and AWS SageMaker, Azure ML, Azure Databricks to develop and deploy generative AI models across cloud environments. ●Experience in some of the industry renowned tools for AI/ML workload implementation like Dataiku, Datarobot, Rapidminer etc. ●Exposure to complex AI/ML solutions with computer vison/NLP etc. ●Collaborates with Infrastructure and Security Architects to ensure alignment with Enterprise standards and designs ●Strong oral and written Communication skills. Good presentation skills ●Analytical Skills Business orientation & acumen (exposure)

Summary Provide sales force analytics support to Novartis internal customers (Countries & Regional marketing and sales teams) on various high complexity sales force analytical reports. Facilitate data enabled decision making for Novartis internal customers by providing and communicating qualitative and quantitative analytics. Support business in building practice by involving in various initiatives like knowledge sharing, on-boarding and training support, support team lead in all business related tasks / activities, building process documentation and knowledge repositories. Responsible for delivering Call plans/Alignments to support the Field teams in reaching HCPs/Patients. Planning and guiding other team members to achieve 100% accuracy and timeliness. About The Role About the Role: Acts as a function level SME, works on multiple client engagements with collaborating with teams members to produce high quality results. Provide though leadership and innovation, lead initiatives of process excellence and possesses very strong analytical skills Your Responsibilities Include, But Are Not Limited To Help develops new service offerings in close collaboration with functional and account management teams and Build and deliver below customer requirements as per agreed SLAs (timeliness, accuracy, quality, etc) and drive excellent customer service Create and deliver below customer requirements as per agreed SLAs (timeliness, accuracy, quality, etc) and drive excellent customer service Territory alignment Call plan management Territory action plan report Deliver services through structured project management approach with appropriate documentation and communication throughout the delivery of services Create and maintain standard operating procedures (SOPs), quality checklists that will enable excellent quality outputs for all outputs within the function Develop and maintain knowledge repositories that captures qualitative and quantitative reports of brands, disease areas, macroeconomic trends of Novartis operating markets, etc Support team leaders in recruitment and on-boarding of new associates within the organization Hands on to Customer segmentation & targeting, Field-force optimization, Territory alignment, Incentive compensation (Plan-Design-Admin), Territory sales performance reports, Activity (QTQ) performance reports, Others SFE support, Call plan management and Territory action plan report Deliver services through structured project management approach with appropriate documentation and communication throughout the delivery of services What You’ll Bring To The Role Should be customer service oriented and strong and proactive business results-focus, and proven track record to provide insights that increase efficiency Support team leaders in recruitment and on-boarding of new associates within the organization. Leads capability building by actively prioritizing various knowledge sharing sessions that enables growth and improves quality of CSP Hyd deliverables across the function. Stay in sync with all internal functional operating procedures like time tracking, critical metric tracking and strong analytical thinking with problem solving approach. Build and maintain standard operating procedures (SOPs), quality checklists that will enable excellent quality outputs for all outputs within the function. Develop and maintain knowledge repositories that captures qualitative and quantitative reports of brands, disease areas, macroeconomic trends of Novartis operating markets, etc. Reporting, and other internal systems and processes. Comply to all Novartis operating procedures as per legal / IT / HR requirements Active participation in various knowledge sharing sessions that enables growth and improves quality of deliverables across the function and Comply with all internal functional operating procedures like time tracking, KPI tracking and reporting, and other internal systems and processes Desirable Requirements University/Advanced degree is required, Master’s degree in fields such as business administration, finance, computer science or technical field is preferred Experience (6+ years) in |Hands-On | Snowflake (SQL), ETL, Data Model Design IC, Pharma Analytics in a market research firm or pharmaceutical company or Pharma KPO and should have an understanding of Pharmaceutical business including its regulatory environment. Min if 2 years of experience in leading a project by collaborating across multiple teams with Pharma background is preferred. Hands on to Dataiku, Zaidyn, JCPM, Python, SQL, Excel, PowerPoint , JTD (for territory alignment) People management and good presentation skills are required. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards

Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters Do 1. Instrumental in understanding the requirements and design of the product/ software Develop software solutions by studying information needs, studying systems flow, data usage and work processes Investigating problem areas followed by the software development life cycle Facilitate root cause analysis of the system issues and problem statement Identify ideas to improve system performance and impact availability Analyze client requirements and convert requirements to feasible design Collaborate with functional teams or systems analysts who carry out the detailed investigation into software requirements Conferring with project managers to obtain information on software capabilities 2. Perform coding and ensure optimal software/ module development Determine operational feasibility by evaluating analysis, problem definition, requirements, software development and proposed software Develop and automate processes for software validation by setting up and designing test cases/scenarios/usage cases, and executing these cases Modifying software to fix errors, adapt it to new hardware, improve its performance, or upgrade interfaces. Analyzing information to recommend and plan the installation of new systems or modifications of an existing system Ensuring that code is error free or has no bugs and test failure Preparing reports on programming project specifications, activities and status Ensure all the codes are raised as per the norm defined for project / program / account with clear description and replication patterns Compile timely, comprehensive and accurate documentation and reports as requested Coordinating with the team on daily project status and progress and documenting it Providing feedback on usability and serviceability, trace the result to quality risk and report it to concerned stakeholders 3. Status Reporting and Customer Focus on an ongoing basis with respect to project and its execution Capturing all the requirements and clarifications from the client for better quality work Taking feedback on the regular basis to ensure smooth and on time delivery Participating in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team members. Consulting with engineering staff to evaluate software-hardware interfaces and develop specifications and performance requirements Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code Documenting very necessary details and reports in a formal way for proper understanding of software from client proposal to implementation Ensure good quality of interaction with customer w.r.t. e-mail content, fault report tracking, voice calls, business etiquette etc Timely Response to customer requests and no instances of complaints either internally or externally Mandatory Skills: : Dataiku Experience: 5-8 Years