What you will do In this vital role you will collaborate with business partners, service owners and IS peers to develop predictive models and insights across the US Commercial Organization. This position will innovate and build significant business impact through the use of sophisticated analytics techniques to help Amgen with its mission to serve patients by helping them get the therapies they need. Flexible Commuter role to Amgen India office. You will work on-site 2-3 days a week. This position will be primarily responsible for: Working collaboratively with multi-functional teams on projects and/or programs with aims to systematically derive insights that ultimately derive substantial business value for Amgen and our patients Identifying business needs and proposing potential analytics approaches for solutions Crafting and deploying a framework to supervise the performance of various campaigns, and tactics at a granular level Leading measurement and tracking of various omnichannel CX enablement initiatives Supporting the development of data science, machine learning prototypes, proof of concepts and models for testing various omnichannel strategies Communicating analysis ideas, progress and results to leadership and business partners What we expect of you We are all different, yet we all use our unique contributions to serve patients. Doctorate degree OR Masters degree and 4 to 6 years of data science and/or analytics experience OR Bachelors degree and 6 to 8 years of data science and/or analytics experience OR Diploma and 10 to 12 years of data science and/or analytics experience Preferred Qualifications: Relevant work experience in campaign measurement, marketing analytics and resource optimization in the pharma domain Programming experience with Python, R, or SAS and experience with ML libraries like scikit-learn, MLib, or TensorFlow Experience working with large datasets, experience working with distributed computing tools (Spark, Hive, etc.) is a plus Ability to communicate analysis in a clear, detailed, and practical manner Passion for learning and staying on top of current developments in sophisticated analytics Biotech / Pharma experience

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy. Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson. Ensure seamless chatbot integration with existing platforms and CRM systems. Work closely with data scientists to improve machine learning models. Must have strong proficiency in Python, deep learning techniques, and chatbot analytics.

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy. Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson. Ensure seamless chatbot integration with existing platforms and CRM systems. Work closely with data scientists to improve machine learning models. Must have strong proficiency in Python, deep learning techniques, and chatbot analytics.

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy. Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson. Ensure seamless chatbot integration with existing platforms and CRM systems. Work closely with data scientists to improve machine learning models. Must have strong proficiency in Python, deep learning techniques, and chatbot analytics.

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy. Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson. Ensure seamless chatbot integration with existing platforms and CRM systems. Work closely with data scientists to improve machine learning models. Must have strong proficiency in Python, deep learning techniques, and chatbot analytics.

Experience in Organic Synthesis / Multi-step Synthesis State-of-the-art scientific knowledge in technical background for synthesis and purification methods Handling reactions from milligram to gram scale Sound knowledge of isolation, separation, and purification techniques Positive and confident individual with strong work ethics Team player with good communication skills Good in English written and spoken (recommendable) Candidates are expected to work for Mithros, with the flexibility to quickly move to work in Taros if required Sr. Chemist Research Associate with MSc. Organic Chemistry (2 to 5 years experience only) Good in English written and spoken (recommendable)

Mentoring team while delivering client requirements Project Management of data collection Analysing financial data by collecting, monitoring, and creating business and financial models Authoring reports containing actionable recommendations, Provident fund

Experience working in large Software Development Teams Knowledge and experience in Agile Delivery mechanisms Work with business stakeholders, SCRUM masters, Designers and testers in SCRUM team. Proficient in English language with ability to lead stakeholder conversations. Experience in generating insights through data and articulating stories addressing business problems. Total Experience Expected: 6-8 years Mandatory Technical Skills: Proficiency in SQL- Windows Function, Python for data analysis. Experience with data visualization tools like Tableau Total Experience Expected: 04-06 years

Overview This role will help to enable accelerated growth for PepsiCo by building pipelines, aligning data, building Visualizations, and performing predictive and prescriptive analytics approaches to drive actionable insights for the North American market. Key responsibilities will be to build and manage data to be used for analytics, report creation, data Visualization projects, and designing automation processes Responsibilities Ownership of ongoing maintenance and creation of new dashboards Rigorous Excel experience, Multiple Data Systems - For Analytics like Bobj, R SI, Retail Lin,k etc. Good with Data Analytics & Analysis, CPG /Retail Experience must, Experience with Visualisation/Dashboard build like PBI, Tableau, etc, Worked with Senior Leaders in the Org, Good handle on KPI/Metrics reporting, Good Knowledge of Predictive Analytics, Analytical Tools - R/Python/SQL. Work across multiple functions to aid in collecting insights for action-oriented cause of change analysis Build analysis in Excel, PBI, and Python with accompanying documentation Ensure delivery of accurate and timely data by the agreed service level agreement Focus on speed of execution and quality of service delivery rather than the achievement of SLAs Recognize opportunities and take action to improve the delivery of work Implement continued improvements and simplifications of processes, standardization of reporting, and optimal use of technology Create an inclusive and collaborative environment Qualifications 5+ years of experience in Sales Reporting & Analytics, Minimum 2 years in Data Analytics, preferably CPG Analytics. Preferred experience from a strong top-tier consulting or prior Fast Moving Consumer Goods (FMCG) company Good analytical skills excellent competency in MS Excel is a must, as is experience of managing complex, incomplete & inconsistent datasets and defining strategic analytics (market sizing/growth forecasts, etc). e.g, Tools like Knime, Python ,R Deep grounding in analytical logic and ability to translate complex data into powerful insight Strong experience in data transformation, data visualization,and exploratory analysis Strong Change Management Skills: Follow Up, Follow Through, Accountability, Sense of Urgency, and superior stakeholder management Ability to provide new ways of approaching situations and developing new, efficient solutions Independent & motivated individual; ability to receive direction and convert into an action plan with coaching and feedback Best-in-class time management skills, ability to multitask, set priorities, and plan

What you will do In this vital role you will responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and executing data governance initiatives, and visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes. Roles & Responsibilities: Design, develop, and maintain data solutions for data generation, collection, and processing. Be a key team member that assists in the design and development of the data pipeline. Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems. Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions. Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks. Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs. Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency. Implement data security and privacy measures to protect sensitive data. Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions. Collaborate and communicate effectively with product teams. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications and Experience Masters degree and 1 to 3 years of experience in Computer Science, IT, or related field OR Bachelors degree and 3 to 5 years of experience in Computer Science, IT, or related field OR Diploma and 7 to 9 years of experience in Computer Science, IT, or related field Must-Have Skills: Hands-on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing. Proficiency in data analysis tools (e.g., SQL) and experience with data visualization tools. Excellent problem-solving skills and the ability to work with large, complex datasets. Preferred Qualifications: Good-to-Have Skills: Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development. Strong understanding of data modeling, data warehousing, and data integration concepts. Knowledge of Python/R, Databricks, SageMaker, cloud data platforms. Professional Certifications: Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments). Certified Data Scientist (preferred on Databricks or Cloud environments). Machine Learning Certification (preferred on Databricks or Cloud environments). Soft Skills: Excellent critical-thinking and problem-solving skills. Strong communication and collaboration skills. Demonstrated awareness of how to function in a team setting. Demonstrated presentation skills.

AECOM EC is seeking for a candidate to be based inBengaluru or Gurgaon. Candidate will be responsible for the following activities: 2 +years of experience in Operational Modelling Software PTV VISSIM/ VISUM Good knowledge of the micro-simulations concepts and theories and how they relate to VISSIM. Operational Analysis - Using SYNCHRO/ SIDRA/ HCS Data analysis (including spreadsheets and databases) and problem-solving. Produce base network and ability to calibrate and validate. Knowledge of Signal coding using VAP. Produce forecast networks and matrices. Interpretation of model results and ability to prepare technical reports. Familiarity with UK/US/ANZ/Middle East transport modelling guidance. Mapping tools (GIS) and able to interpret quantitative transport models. Experience in programming (Excel macro, Python, R) would be a particular advantage. Ability to deliver quality output within agreed time and budget. Strong communication, presentation and report-writing skills. Ability to work in a challenging environment. Qualifications Masters degree in the relevant subject (e.g., Transport Planning/Engineering, or related subjects) Engineers with 2to 5 years experience in Transport Planning Proficiency with some, or all of the following would also be considered beneficial: LinSig /Synchro/Sidra/Junction 10 PTV VISWALK/Legion Working knowledge of AutoCAD VISSIM COM and MOVA would be a particular advantage

AECOM EC is seeking for a candidate to be based inBengaluru or Gurgaon. Candidate will be responsible for the following activities: 5 +years of experience in Operational Modelling Software PTV VISSIM/ VISUM Good knowledge of the micro-simulations concepts and theories and how they relate to VISSIM. Operational Analysis - Using SYNCHRO/ SIDRA/ HCS Data analysis (including spreadsheets and databases) and problem-solving. Produce base network and ability to calibrate and validate. Knowledge of Signal coding using VAP. Produce forecast networks and matrices. Interpretation of model results and ability to prepare technical reports. Familiarity with UK/US/ANZ/Middle East transport modelling guidance. Mapping tools (GIS) and able to interpret quantitative transport models. Experience in programming (Excel macro, Python, R) would be a particular advantage. Ability to deliver quality output within agreed time and budget. Qualifications Masters degree in the relevant subject (e.g., Transport Planning/Engineering, or related subjects) Engineers with 6to 9years experience in Transport Planning Proficiency with some, or all of the following would also be considered beneficial: LinSig /Synchro/Sidra/Junction 10 PTV VISWALK/Legion Working knowledge of AutoCAD VISSIM COM and MOVA would be a particular advantage

Work Responsibilities The Palantir Developer will be responsible for designing and implementing modern data architecture solutions that facilitate enterprise-level transformation. Key responsibilities include: Data Architecture Design: Create and optimize modern data architectures that support advanced analytics and operational requirements. Pipelining: Develop and maintain efficient data pipelines using Palantir Foundry to ensure seamless data flow and accessibility for analytics. Advanced Analytics: Create and deploy advanced analytics products that provide actionable insights to stakeholders, enhancing decision-making processes. Artificial Intelligence Integration: Collaborate with data scientists to incorporate AI and machine learning models into data pipelines and analytics products, enabling predictive capabilities. Agentic AI Exposure: Leverage knowledge of Agentic AI to develop systems that can autonomously make decisions and take actions based on data insights, enhancing operational capabilities. Collaboration: Work closely with cross-functional teams, including data scientists, engineers, and business analysts, to gather requirements and deliver tailored solutions. Cloud Technologies: Utilize cloud-based tools and services to enhance scalability, security, and performance of data solutions. Best Practices: Implement best practices for data governance, quality, and security to maintain data integrity and compliance with relevant regulations. Continuous Improvement: Identify opportunities for process improvements and automation to enhance operational efficiency within data ecosystems. Documentation: Maintain comprehensive documentation of data architecture designs, pipeline configurations, and analytics processes. The Team Artificial Intelligence & Data Engineering: In this age of disruption, organizations need to embrace data-driven decision-making to Deliver Enterprise Value. Our Team Leverages Data, Analytics, Robotics, And Cognitive Technologies To Uncover Insights And Drive Transformation In Business. Key Initiatives Include Data Ecosystem Implementation: Collaborate with clients to implement large-scale data ecosystems that integrate structured and unstructured data for comprehensive insights. Predictive Analytics: Utilize machine learning and predictive modeling techniques to derive actionable insights and predict future scenarios. AI Solutions Development: Work on developing AI-driven solutions that enhance data analytics capabilities, including natural language processing (NLP), computer vision, and recommendation systems. Agentic AI Development: Engage in projects that involve the development and deployment of Agentic AI systems capable of autonomous decision-making and action-taking based on real-time data. Operational Efficiency: Drive operational efficiency by utilizing automation and cognitive techniques for data management, ensuring timely and accurate reporting. Client Engagement: Engage with clients to understand their unique challenges and tailor solutions that align with their strategic objectives. Innovative Solutions: Research and implement innovative technologies and methodologies that enhance data analytics capabilities and drive business value. Training and Support: Provide training and support to clients on data tools and platforms to ensure they can maximize the value of their data assets. Qualifications Required: Education: Bachelors degree in Computer Science, Data Science, Engineering, or a related field. Experience 3+ years of hands-on experience in data extraction and manipulation using various tools and programming languages. 3+ years of experience in engineering and developing Palantir pipelines, with a strong understanding of data integration techniques. 3+ years of experience collaborating with Palantir Foundry data scientists and engineers on complex data projects. 2+ years of experience working with AI and machine learning technologies, including model development, deployment, and performance tuning. Familiarity with Agentic AI concepts and applications, including experience developing or working with autonomous systems is a plus. Technical Skills: Proficiency in programming languages such as Python, SQL, or R, along with experience in statistical analysis and machine learning techniques. Problem-Solving: Strong analytical and problem-solving skills, with the ability to think critically and creatively. Communication: Excellent interpersonal and communication skills to effectively convey technical concepts to non-technical stakeholders.

Req ID: 326459 We are currently seeking a BFSI Data and Analytics Project Lead - CITI Bank to join our team in Bangalore, Karntaka (IN-KA), India (IN). "Job DutiesData & Analytics Project Lead with over 12+ years of experience in BFSI Domain The Data and Analytics Delivery Manager will oversee the successful delivery of the Client's data and analytics projects, ensuring our clients derive maximum value from their data assets. This leadership role involves setting strategy, managing delivery teams, collaborating across functions, and upholding data governance and quality standards. The ideal candidate brings strong technical and business acumen to build and execute data-driven strategies aligned with the Client's mission of transforming their business with data-driven insights. The core responsibilities for the job include the following: Project and Program Oversight: "¢ Oversee end-to-end delivery of complex data and analytics projects, ensuring timely, high-quality, and cost-effective outcomes. "¢ Establish project governance, risk management, and quality assurance standards for effective project delivery. "¢ Monitor project portfolios and allocate resources to optimize productivity across multiple client engagements. Stakeholder Collaboration and Engagement: "¢ Serve as the primary liaison between data delivery teams, sales, product, and client-facing teams to ensure client needs are met. "¢ Present data strategies, project status, and insights effectively to both technical and non-technical stakeholders, fostering alignment. "¢ Drive collaboration with product management and engineering teams to align on data needs and operational goals. Innovation and Technology Adoption: "¢ Stay abreast of the latest trends in GenAI, Agentic AI in data engineering, data science, machine learning, and AI to enhance the Client's data capabilities. "¢ Must have experience in Cloud Modernization, DWH, Datalake project execution "¢ Drive the adoption of advanced analytics tools and technologies to improve data delivery efficiency and solution impact. "¢ Assess and recommend new tools, platforms, and partners to continuously improve data solutions. Team Development and Leadership: "¢ Recruit, mentor, and retain a high-performing data and analytics team, fostering a culture of collaboration and continuous improvement. "¢ Set performance goals, conduct regular evaluations, and provide ongoing feedback to support team growth. Minimum Skills Required: "¢ Educational BackgroundBachelor's or Master's degree in Data Science, Computer Science, Business Administration, or a related field. "¢ Experience15+ years of experience in data and analytics, including at least 5 years in a leadership role with a proven track record in delivery management. "¢ Technical ProficiencyDeep understanding of data warehousing, data visualization, data governance, data trust and big data tools (SQL, Python, R, Tableau, Power BI, and cloud platforms like AWS, Azure, or Google Cloud). "¢ Must have experience in Cloud Modernization, DWH, Datalake project execution "¢ BFSI KnowledgeMandatory to have worked in BFSI projects delivered Data & Analytics projects to BFSI clients "¢ Project Management ExpertiseStrong background in Agile, Scrum, or other project management methodologies. "¢ Leadership and CommunicationExcellent interpersonal and communication skills, with a demonstrated ability to lead, influence, and engage stakeholders at all levels. "¢ Analytical and Problem-Solving Skills: Strong analytical mindset with a track record of delivering actionable insights from complex data The Data and Analytics Delivery Manager will oversee the successful delivery of the Client's data and analytics projects, ensuring our retail clients derive maximum value from their data assets. This leadership role involves setting strategy, managing delivery teams, collaborating across functions, and upholding data governance and quality standards. The ideal candidate brings strong technical and business acumen to build and execute data-driven strategies aligned with the Client's mission of transforming retail with data-driven insights."

Req ID: 312505 We are currently seeking a Digital Engineering Lead Engineer to join our team in Bangalore, Karntaka (IN-KA), India (IN). Job DutiesJob TitleData Science & AIML, GenAI Lead/Engineer Key Responsibilities: "¢ Develop and implement traditional machine learning algorithms. "¢ Deploy at least one model in a production environment. "¢ Write and maintain Python code for data science and machine learning projects. Minimum Skills RequiredPreferred Qualifications: "¢ Knowledge of Deep Learning (DL) techniques. "¢ Experience working with Generative AI (GenAI) and Large Language Models (LLM). "¢ Exposure to Langchain.

Req ID: 326457 We are currently seeking a BFSI Data and Analytics Delivery Manager to join our team in Bangalore, Karntaka (IN-KA), India (IN). "Job DutiesData & Analytics Delivery Manager with over 18+ years of experience in BFSI Domain The Data and Analytics Delivery Manager will oversee the successful delivery of the Client's data and analytics projects, ensuring our clients derive maximum value from their data assets. This leadership role involves setting strategy, managing delivery teams, collaborating across functions, and upholding data governance and quality standards. The ideal candidate brings strong technical and business acumen to build and execute data-driven strategies aligned with the Client's mission of transforming their business with data-driven insights. The core responsibilities for the job include the following: Project and Program Oversight: "¢ Oversee end-to-end delivery of complex data and analytics projects, ensuring timely, high-quality, and cost-effective outcomes. "¢ Establish project governance, risk management, and quality assurance standards for effective project delivery. "¢ Monitor project portfolios and allocate resources to optimize productivity across multiple client engagements. Stakeholder Collaboration and Engagement: "¢ Serve as the primary liaison between data delivery teams, sales, product, and client-facing teams to ensure client needs are met. "¢ Present data strategies, project status, and insights effectively to both technical and non-technical stakeholders, fostering alignment. "¢ Drive collaboration with product management and engineering teams to align on data needs and operational goals. Innovation and Technology Adoption: "¢ Stay abreast of the latest trends in GenAI, Agentic AI in data engineering, data science, machine learning, and AI to enhance the Client's data capabilities. "¢ Must have experience in Cloud Modernization, DWH, Datalake project execution "¢ Drive the adoption of advanced analytics tools and technologies to improve data delivery efficiency and solution impact. "¢ Assess and recommend new tools, platforms, and partners to continuously improve data solutions. Team Development and Leadership: "¢ Recruit, mentor, and retain a high-performing data and analytics team, fostering a culture of collaboration and continuous improvement. "¢ Set performance goals, conduct regular evaluations, and provide ongoing feedback to support team growth. Minimum Skills Required: "¢ Educational BackgroundBachelor's or Master's degree in Data Science, Computer Science, Business Administration, or a related field. "¢ Experience15+ years of experience in data and analytics, including at least 5 years in a leadership role with a proven track record in delivery management. "¢ Technical ProficiencyDeep understanding of data warehousing, data visualization, data governance, data trust and big data tools (SQL, Python, R, Tableau, Power BI, and cloud platforms like AWS, Azure, or Google Cloud). "¢ Must have experience in Cloud Modernization, DWH, Datalake project execution "¢ BFSI KnowledgeMandatory to have worked in BFSI projects delivered Data & Analytics projects to BFSI clients "¢ Project Management ExpertiseStrong background in Agile, Scrum, or other project management methodologies. "¢ Leadership and CommunicationExcellent interpersonal and communication skills, with a demonstrated ability to lead, influence, and engage stakeholders at all levels. "¢ Analytical and Problem-Solving Skills: Strong analytical mindset with a track record of delivering actionable insights from complex data The Data and Analytics Delivery Manager will oversee the successful delivery of the Client's data and analytics projects, ensuring our retail clients derive maximum value from their data assets. This leadership role involves setting strategy, managing delivery teams, collaborating across functions, and upholding data governance and quality standards. The ideal candidate brings strong technical and business acumen to build and execute data-driven strategies aligned with the Client's mission of transforming retail with data-driven insig"

Req ID: 326727 We are currently seeking a Microsoft Fabric Specialist to join our team in Hyderabad, Telangana (IN-TG), India (IN). : We are seeking a Mid-Level Microsoft Fabric Support Specialist to join our IT team. The ideal candidate will be responsible for providing technical support, troubleshooting, and ensuring the smooth operation of Microsoft Fabric services. This role requires a deep understanding of Microsoft Fabric, data integration, and analytics solutions, along with strong problem-solving skills. Key Responsibilities: "¢ Provide technical support and troubleshooting for Microsoft Fabric services. "¢ Assist in the implementation, configuration, and maintenance of Microsoft Fabric environments. "¢ Monitor system performance and resolve issues proactively. "¢ Collaborate with cross-functional teams to optimize data workflows and analytics solutions. "¢ Document support procedures, best practices, and troubleshooting steps. "¢ Assist in user training and onboarding for Microsoft Fabric-related tools and applications. "¢ Stay up to date with the latest Microsoft Fabric updates and best practices. Required Qualifications: "¢ 5+ years of experience in IT support, with a focus on Microsoft Fabric or related technologies. "¢ Strong knowledge of Microsoft Fabric, Power BI, Azure Synapse, and data integration tools. "¢ Experience with troubleshooting and resolving issues in a cloud-based environment. "¢ Familiarity with SQL, data pipelines, and ETL processes. "¢ Excellent problem-solving and communication skills. "¢ Ability to work independently and collaboratively in a team environment. Preferred Qualifications: "¢ Microsoft certifications related to Fabric, Azure, or Power BI. "¢ Experience with automation and scripting (PowerShell, Python, etc.). "¢ Understanding of security and compliance considerations in cloud-based data platforms.

Req ID: 312501 We are currently seeking a Mid Data Science & AIML, GenAI Lead/Engineer to join our team in Bangalore, Karntaka (IN-KA), India (IN). Job DutiesJob TitleData Science & AIML, GenAI Lead/Engineer Key Responsibilities: "¢ Develop and implement traditional machine learning algorithms. "¢ Deploy at least one model in a production environment. "¢ Write and maintain Python code for data science and machine learning projects. Minimum Skills RequiredPreferred Qualifications: "¢ Knowledge of Deep Learning (DL) techniques. "¢ Experience working with Generative AI (GenAI) and Large Language Models (LLM). "¢ Exposure to Langchain. "‹"‹"‹"‹"‹"‹"‹

Req ID: 324676 We are currently seeking a Data Analyst to join our team in Pune, Mahrshtra (IN-MH), India (IN). Key Responsibilities: Extract, transform, and load (ETL) data from various sources, ensuring data quality, integrity, and accuracy. Perform data cleansing, validation, and preprocessing to prepare structured and unstructured data for analysis. Develop and execute queries, scripts, and data manipulation tasks using SQL, Python, or other relevant tools. Analyze large datasets to identify trends, patterns, and correlations, drawing meaningful conclusions that inform business decisions. Create clear and concise data visualizations, dashboards, and reports to communicate findings effectively to stakeholders. Collaborate with clients and cross-functional teams to gather and understand data requirements, translating them into actionable insights. Work closely with other departments to support their data needs. Collaborate with Data Scientists and other analysts to support predictive modeling, machine learning, and statistical analysis. Continuously monitor data quality and proactively identify anomalies or discrepancies, recommending corrective actions. Stay up-to-date with industry trends, emerging technologies, and best practices to enhance analytical techniques. Assist in the identification and implementation of process improvements to streamline data workflows and analysis. Basic Qualifications: 3 + years of proficiency in data analysis tools such as [Tools - e.g., Excel, SQL, R, Python]. 3+ years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects. 2+ years of experience leading a team supporting data related projects to develop end-to-end technical solutions. Undergraduate or Graduate degree preferred Ability to travel at least 25%." Preferred Skills: Strong proficiency in data analysis tools such as Python, SQL, Talend (any ETL). Experience with data visualization tools like PowerBI. Experience with cloud data platforms . Familiarity with ETL (Extract, Transform, Load) processes and tools. Knowledge of machine learning techniques and tools. Experience in a specific industry (e.g., financial services, healthcare, manufacturing) can be a plus. Understanding of data governance and data privacy regulations. Ability to query and manipulate databases and data warehouses. Excellent analytical and problem-solving skills. Strong communication skills with the ability to explain complex data insights to non-technical stakeholders. Detail-oriented with a commitment to accuracy.

Req ID: 303766 We are currently seeking a Digital Project Manager Lead Consultant to join our team in Pune, Mahrshtra (IN-MH), India (IN). RESPONSIBILITIES Lead and manage AI projects from inception to completion, ensuring successful delivery within scope, timeline, and budget. Develop comprehensive project plans, including timelines, resource allocation, and risk management strategies for AI and machine learning initiatives. Collaborate with a diverse range of stakeholders, including data scientists, engineers, and business leaders, to align project objectives with organizational goals. Oversee the development and deployment of AI models, ensuring alignment with project requirements and performance metrics. Identify, analyze, and address project issues and risks, implementing corrective actions as needed to keep projects on track. Drive process improvements by integrating new technologies and best practices into project management processes. Facilitate clear and effective communication across project teams and stakeholders, providing regular updates and ensuring transparency throughout the project lifecycle. Ensure AI projects adhere to data privacy regulations, ethical guidelines, and industry standards. Handle project operations "“ Resource Rampup, People Management, Trainings Working with COE to create new GenAI accelerators LocationPune Skills, Knowledge, and Experience Technical Handson skills in GenAI is must. Should be able to provide technical guidance to the team when required Minimum 3-4 years of experience managing AI or technology projects, with a proven track record of delivering complex projects on time and within budget. Bachelor"™s degree in Computer Science, Data Science, or a related field; advanced certification (e.g., PMP, Agile) is a plus. Strong portfolio demonstrating successful AI projects, showcasing ability to manage project scope, resources, and stakeholder expectations effectively. Familiarity with AI and machine learning concepts, technologies, and tools, with the ability to understand and manage technical aspects of projects. Proficiency in project management methodologies (e.g., Agile, Scrum) and tools (e.g., Jira, MS Project). Experience with data analytics and performance monitoring tools relevant to AI projects. Understanding of how AI solutions can drive business value and impact organizational strategy. Knowledge of ethical considerations and compliance requirements related to AI and data privacy. Strong understanding of programming or data science tools (e.g., Python, R) for better communication with technical teams & Azure GENAI Exceptional communication skills, with the ability to convey complex AI concepts and project details to both technical and non-technical stakeholders.

Job Title: Lead Data Scientist We are seeking a highly skilled and experienced Lead Data Scientist to join our dynamic team. In this role, you will be responsible for leading data-driven projects, mentoring junior data scientists, and guiding the organization in making strategic decisions based on data insights. Key Responsibilities: - Develop and implement advanced statistical models and algorithms to analyze complex data sets. - Collaborate with cross-functional teams to identify business opportunities and translate them into data-driven solutions. - Mentor and oversee a team of data scientists, providing guidance on best practices and techniques in data analysis and modeling. - Communicate findings and insights to stakeholders through presentations, reports, and visualizations. - Stay current with industry trends and emerging technologies in data science and analytics. - Design and implement experiments to validate models and hypotheses. - Ensure the quality and integrity of data throughout the analytic process. Qualifications: - Master's. in Computer Science, Statistics, Mathematics, or a related field. - Proven experience as a Data Scientist, with a strong portfolio of successful projects. - Expertise in programming languages such as Python or R, as well as experience with machine learning frameworks. - Strong knowledge of statistical analysis and modeling techniques. - Excellent problem-solving skills and the ability to work with large and complex data sets. - Strong communication skills, with the ability to convey technical concepts to non-technical stakeholders. - Experience in leading and managing teams is a plus. We offer a competitive salary, comprehensive benefits, and the opportunity to work in a collaborative and innovative environment. If you are passionate about data science and eager to make a significant impact, we would love to hear from you. Roles and Responsibilities Job Title: Lead Data Scientist Roles and Responsibilities: 1. Leading the design and implementation of advanced machine learning models and algorithms to address complex business problems. 2. Collaborating with cross-functional teams to define data strategies and identify opportunities for data-driven decision-making. 3. Overseeing data collection, cleaning, and preprocessing to ensure high-quality datasets for analysis and modeling. 4. Mentoring and guiding junior data scientists and analysts, fostering a culture of continuous learning and innovation within the team. 5. Communicating findings and insights to stakeholders through visualizations, presentations, and reports, ensuring clarity and understanding of complex analyses. 6. Staying current with industry trends, tools, and technologies in data science, and applying best practices to enhance team capabilities and project outcomes. 7. Developing and maintaining scalable data pipelines and architectures to support large-scale data processing. 8. Evaluating the performance of statistical models and machine learning algorithms to ensure accuracy and effectiveness in real-world applications. 9. Collaborating with IT and engineering teams to deploy models into production environments and monitor their performance. 10. Contributing to the strategic direction of the data science team and advising leadership on data-driven opportunities and potential risks.

Job Title: Data Scientist Looking for someone with 5-8 years of experience manipulating data sets and building statistical models Desired Skills: Experience using statistical computer languages (R, Python, etc.) to manage data and draw insights from large data sets. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, XGBoost, KNN, SVM, ANN, etc.). Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc. Experience visualizing/presenting data for stakeholders. Experience with Snowflake will be an added advantage. Experience in deployment of machine learning models using cloud technologies. Roles and responsibilities: 1. Work with stakeholders to identify opportunities for leveraging data to drive business solutions. 2. Mine and analyse data from databases to drive optimization and improvement of product development and business strategies. 3. Assess the effectiveness and accuracy of new data sources and data gathering techniques. 4. Develop custom models and algorithms to apply to data sets. 5. Use predictive modelling to increase and optimize customer experiences. 6. Coordinate with different functional teams to implement models and monitor outcomes. 7. Analyse large amounts of information to discover trends and patterns. 8. Build predictive models and machine-learning algorithms. 9. Present information using data visualization techniques . 10. Good to have a knowledge of ML lifecycle and model governance.

We are seeking an experienced Data Scientist to join our team. The ideal candidate will have a strong background in developing and deploying conversational AI solutions using Large Language Models (LLMs) and RASA framework.

Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion its a place where you can grow, belong and thrive. Your day at NTT DATA We are seeking a talented AI/GenAI Engineer to join our team in delivering cutting-edge AI solutions to clients. The successful candidate will be responsible for implementing, developing, and deploying AI/GenAI models and solutions on cloud platforms. This role requires knowledge of ServiceNow modules like CSM and virtual agent development. Candidate should have strong technical aptitude, problem-solving skills, and the ability to work effectively with clients and internal teams. What youll be doing Key Responsibilities: Cloud AI Implementation: Implement and deploy AI/GenAI models and solutions using various cloud platforms (e.g., AWS SageMaker, Azure ML, Google Vertex AI) and frameworks (e.g., TensorFlow, PyTorch, LangChain, Vellum). Build Virtual Agent in SN Design, develop and deploy virtual agents using SN agent builder Integrate SN Design and develop seamless integration of SN with other external AI systems Agentic AI: Assist in developing agentic AI systems on cloud platforms, enabling autonomous decision-making and action-taking capabilities in AI solutions. Cloud-Based Vector Databases: Implement cloud-native vector databases (e.g., Pinecone, Weaviate, Milvus) or cloud-managed services for efficient similarity search and retrieval in AI applications. Model Evaluation and Fine-tuning: Evaluate and optimize cloud-deployed generative models using metrics like perplexity, BLEU score, and ROUGE score, and fine-tune models using techniques like prompt engineering, instruction tuning, and transfer learning. Security for Cloud LLMs: Apply security practices for cloud-based LLMs, including data encryption, IAM policies, and network security configurations. Client Support Support client engagements by implementing AI requirements and contributing to solution delivery. Cloud Solution Implementation: Build scalable and efficient cloud-based AI/GenAI solutions according to architectural guidelines. Cloud Model Development: Develop and fine-tune AI/GenAI models using cloud services for specific use cases, such as natural language processing, computer vision, or predictive analytics. Testing and Validation Conduct testing and validation of cloud-deployed AI/GenAI models, including performance evaluation and bias detection. Deployment and Maintenance Deploy AI/GenAI models in production environments, ensuring seamless integration with existing systems and infrastructure. Cloud Deployment Deploy AI/GenAI models in cloud production environments and integrate with existing systems. Education Bachelor/Masters in Computer Science, AI, ML, or related fields. Experience 3-5 years of experience in engineering solutions, with a track record of delivering Cloud AI solutions. . Should have at least 2 years experience of SN and SN agent builder Technical Skills: Proficiency in cloud AI/GenAI services and technologies across major cloud providers (AWS, Azure, GCP) Experience with cloud-native vector databases and managed similarity search services Experience with SN modules like CSM and virtual agent builder Experience with security measures for cloud-based LLMs, including data encryption, access controls, and compliance requirements Programming Skills: Strong programming skills in languages like Python or R Cloud Platform Knowledge: Strong understanding of cloud platforms, their AI services, and best practices for deploying ML models in the cloud Communication Excellent communication and interpersonal skills, with the ability to work effectively with clients and internal teams. Problem-Solving Strong problem-solving skills, with the ability to analyse complex problems and develop creative solutions. Nice to have: Experience with serverless architectures for AI workloads Nice to have: Experience with ReactJS for rapid prototyping of cloud AI solution frontends Location: Delhi or Bangalore (with remote work options)

Your day at NTT DATA The Senior Data Scientist is an advanced subject matter expert, tasked with taking accountability in the adoption of data science and analytics within the organization. The primary responsibility of this role is to participate in the creation and delivery of data-driven solutions that add business value using statistical models, machine learning algorithms, data mining, and visualization techniques. What youll be doing Key Responsibilities: Designs, develops, and programs methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights and solutions for client services and product enhancement. Designs and enhances data collection procedures to include information that is relevant for building analytic systems. Responsible for ensuring that data used for analysis is processed, cleaned and, integrally verified and build algorithms necessary to find meaningful answers. Designs and codes software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources Provides meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. Directs scalable and highly available applications leveraging the latest tools and technologies. Accountable for creatively visualizing and effectively communicating results of data analysis, insights, and ideas in a variety of formats to key decision-makers within the business. Creates SQL queries for the analysis of data and visualizes the output of the models. Responsible for ensuring that industry standards best practices are applied to development activities. Knowledge and Attributes: Advanced understanding of data modelling, statistical methods and machine learning techniques. Strong ability to thrive in a dynamic, fast-paced environment. Strong quantitative and qualitative analysis skills. Desire to acquire more knowledge to keep up to speed with the ever-evolving field of data science. Curiosity to sift through data to find answers and more insights. Advanced understanding of the information technology industry within a matrixed organization and the typical business problems such organizations face. Strong ability to translate technical findings clearly and fluently to non-technical team business stakeholders to enable informed decision-making. Strong ability to create a storyline around the data to make it easy to interpret and understand. Self-driven and able to work independently yet acts as a team player. Academic Qualifications and Certifications: Bachelors degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science or a related field. Relevant programming certification preferred. Agile certification preferred. Required Experience: Advanced demonstrated experience in a data science position in a corporate environment and/or related industry. Advanced demonstrated experience in statistical modelling and data modelling, machine learning, data mining, unstructured data analytics, natural language processing. Advanced demonstrated experience in programming languages (R, Python, etc.). Advanced demonstrated experience working with and creating data architectures. Advanced demonstrated experience with extracting, cleaning, and transforming data and working with data owners to understand the data. Advanced demonstrated experience visualizing and/or presenting data for stakeholder use and reuse across the business.