4327 Data Science Jobs - Page 17

highly skilled and experienced Design and Development Engineer with a minimum of 5 years of relevant expertise in the design and development of industrial processing equipment and solutions for the cakes, pies, cookies, biscuits, crackers, and snacks industry. Responsibilities / Tasks We are seeking a highly skilled and motivated Data Scientist to join our dynamic team. The ideal candidate will have a strong foundation in data analysis, statistical methods, and machine learning techniques. They will be responsible for transforming data into actionable insights to drive decision-making processes and improve business performance. Responsibilities Analyze large datasets to identify trends, patterns, and insights. Develop and implement machine learning models and algorithms. Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions. Present findings and recommendations to stakeholders through reports and visualizations. Ensure data integrity and accuracy by performing regular data validation and cleansing. Stay updated with the latest industry trends and advancements in data science and machine learning. Your Profile / Qualifications Bachelors or Master s degree in Data Science , Statistics, Computer Science, or related field. >5 years p roven experience as a Data Scientist or in a similar role. Strong proficiency in programming languages such as Python, SQL . Experience with data visualization tools like Tableau, Power BI, or Matplotlib. Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch , or scikit-learn. Excellent problem-solving skills and attention to detail. Strong communication skills and ability to convey complex information to non-technical stakeholders . Experience with big data technologies such as Hadoop, Spark, or cloud platform . Did we spark your interest? Then please click apply above to access our guided application process.

Role & responsibilities As an engineer at CADD Centre, your role involves conducting training sessions for both students and professionals in designated software skills. You provide guidance and support to learners to enhance their understanding and proficiency in the subject matter. Ensuring effective delivery of course content, you maintain high-quality standards in training, fostering an environment conducive to learning and skill development. Preferred candidate profile Mechanical Field: Candidates must hold a Bachelor's degree (B.E/B.Tech) or a Master's (M.E/M.Tech) or a Diploma in Mechanical, Automobile, Aviation, or Production Engineering. Proficiency in a minimum of two software applications, selected from AutoCAD, PRO-E/Creo, SolidWorks, CATIA, NX/Unigraphics, and Ansys, is required. Civil Field: A Bachelor's degree (B.E/B.Tech/B.Arch) or a Master's (M.E/M.Tech) or a Diploma in Civil, Architectural, Structural, or Interior Designing is mandatory. Competence in at least two software programs such as AutoCAD, Revit/3ds Max, Sketchup, Primavera, BIM, Staad Pro., and E-Tabs is essential. Electrical Field: Candidates should possess a Bachelor's degree (B.E/B.Tech/B.Arch) or a Master's (M.E/M.Tech) or a Diploma in Electrical Engineering. Proficiency in a minimum of two software programs such as AutoCAD, AutoCAD Electrical, Revit MEP, PLC & SCADA, ETAP, or any two IT-related software mentioned below is required. Electronics Field: A Bachelor's degree (B.E/B.Tech/B.Arch) or a Master's (M.E/M.Tech) or a Diploma in Electronics / Electronics & Communication is required. Competence in at least two software programs such as AutoCAD, OrCAD, Microcontroller or at least any two IT-related software mentioned below is necessary. IT Field: Candidates must possess a Bachelor's degree (B.E/B.Tech/BCA/B.Sc) or a Master's degree (M.E/M.Tech/MCA/M.Sc) or a Diploma in Computer Science & Related Domains. Proficiency in a minimum of two programming languages or tools, including C, C++, Python, Java, Advanced Java, Full Stack (MEAN/MERN), Data Science, Machine Learning, AI, and ML, is mandatory. Business Field: A Bachelor's degree (BBA/B.Com) or a Master's degree (M.Com/MBA) is required. Proficiency in at least two software applications such as MS-Office, Tally, and Project Management, Digital Marketing, SAP is necessary. Perks and benefits Flexible schedule Overtime pay Performance bonus Yearly Salary Revision

Course5 is looking for AI Engineer to join our dynamic team and embark on a rewarding career journeyDesigning and developing AI algorithms and models to solve specific business problems.Creating and maintaining databases for storing and processing large amounts of data.Developing and deploying machine learning and deep learning models.Implementing and integrating AI solutions with existing systems and software.Analyzing and interpreting complex data sets to extract insights and drive decision-making.Collaborating with cross-functional teams to develop and deploy AI applications.Ensuring the security and privacy of data used in AI applications.Communicating and presenting technical information to non-technical stakeholders.Excellent communication skills & attention to detail.

We are looking for a sharp, solution-oriented Lead Analytics Consultant with deep experience in CPG and a strong command of data wrangling techniques. In this role, you ll partner with clients to turn complex data into clear, actionable strategies that solve real-world business challenges. If you re passionate about storytelling with data, identifying trends, and delivering insights that move the needle, this is the role for you.

Company: Marsh Description: Marsh McLennan Global Services (MMGS) India is seeking candidates for the following position based in the Mumbai office: Job Profile: Senior Engineer - Data Science MMC Business Unit: Marsh MMGS Function: Knowledge Services Marsh is a global leader in insurance broking and risk management. In more than 130 countries, our experts in every facet of risk and across industries help clients to anticipate, quantify, and more fully understand the range of risks they face. Marsh Advisory is the consultative branch of Marsh, provides solutions in the increasing needs of our clients to implement risk management programs within their organization. Marsh Advisory helps companies to change their risk profiles so they can improve resiliency, reduce claims, and minimize the total cost of risk. Businesses today regularly tackle multiple challenges, whether facing property and casualty, cyber, pandemic, ERM / BCP / BCM, climate change, supply chain, reputational, or other risks, Marsh Advisory can help. MMGS is a global knowledge center for Marsh McLennan and houses teams, which work closely with the colleagues across various operating units and locations. The Knowledge Services function under MMGS aims to provide specialized services in the domain of Research, Consulting, Data Analytics, Data Science, Actuarial and Design. This role at Knowledge Services aims to provide colleagues with an exposure towards key risks faced by businesses. Incumbent will also have an opportunity to contribute to cutting edge analytics platform and products. Incumbent is expected to be an expert of Data Science algorithms, Business Analytics and Data Manipulation. Expertise in Python and SQL is a must. Experience with Insurance or Banking industry is a plus. Position Details This position is for an individual contributor in Data Science, who will develop and implement models using leading-edge techniques in machine learning, predictive modeling, artificial intelligence, and natural language processing as applied in commercial insurance and risk management. This position consults with clients and colleagues on complex financial and statistical analyses, and develops approaches for new, market-leading analytics-based tools. Responsibilities Develops modeling approaches for implementing new, market-leading analytics-based tools to understand and address risk Understands business problems to create an approach that starts with determining structured and unstructured data needs and availability, builds Statistical Models, Machine Learning models, and finalizes with results that unlock insight for clients and colleagues Demonstrates skill in advanced statistical analysis, data mining, and/or research techniques, combined with broader awareness of the business and ongoing research, while functioning in a collaborative role with the Data Science team and across the wider organization Stays current with ongoing research in the field and brings new approaches to the team Serves as an internal expert resource and champion for data science within Marsh and MMC Coaches team members on the delivery of analytics-based tools and analyses and presentation of findings We will count on you to Mine and analyze data to drive optimization and implement business strategies Build machine learning algorithms based on the business ask Deploy API on the platform by understanding the technical ask Develop statistical custom data models and algorithms from scratch to enhance current value proposition and new product development Utilize risk models related to Time Series Forecasting, Clustering, GLM/Regression, Boosting, Trees, etc. Use advanced analytics to augment consulting deliverables with data backed outputs Conduct research on the clients risk areas and prepare a point of view for consulting Qualifications Masters Degree in Math, Statistics, Data Science, Actuarial Science or related field Expert statistical modeling knowledge, including familiarity with machine learning techniques Ability to face difficult and sometimes complex problems Ability to develop strong internal/external client oriented solutions Superior detail orientation, excellent communication and interpersonal skills Knowledge of modern programming languages such as Python, including NumPy, TensorFlow, SQL, and PyTorch R or VBA may be helpful but not required What makes you stand out Understanding of insurance and risk management Knowledge and demonstrated experience of advanced NLP and computer vision Experience of building data visualization in Plotly/Dash/D3.js Hands-on experience with stochastic or econometric modelling Marsh, a business of Marsh McLennan (NYSE: MMC), is the world s top insurance broker and risk advisor. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow on LinkedIn and X.

About Cranes Varsity : Cranes Varsity is a pioneer Technical Training institute turned EdTech Platform offering Technology educational services for over 24 years. Being a trusted partner of over 5000+ reputed Academia, Corporate & Defence Organizations we have successfully trained 1 Lakh+ engineers and placed 70,000+ engineers. Cranes Varsity offers high-impact hands-on technology training to Graduates, Universities, Working Professionals, and the Corporate & Defence sectors. Job Title: Technical Trainer (Faculty) - DATA SCIENCE Position Technical Trainer (Faculty) - DATA SCIENCE Department Technical Training (Software) Experience Minimum 3 Years - 8 Years of EdTech / IT / Corporate / Institutions etc Education - Should have completed Any Degree BE, BTECH, ME, MTECH, MCA Job Description Strong training experience highly preferred in Python, Power BI, Machine Learning, Deep Learning using Tensorflow, NLP, , PySpark, Hands on programming with Cloud computing, Computer Vision software etc. Strong debugging skills Strong communication and interpersonal skills. Must be a self-starter. Training Graduate Engineers, Working professionals, Corporate freshers and Laterals. College Workshop Trainings. Content Development, Technical Assessment and Evaluation, Project development Expertise in handling multiple inhouse and corporate trainings with proven track record and quality delivery. Experienced in course content development based on the training requirements. Course material development Experience in developing Hands-on projects and hand-holding large groups of students in the same. Corporate Training : Understand the requirements from client and deliver training as per the corporate clients requirements. Working experiences on embedded systems project development Knowledge on Hardware s Experienced in all phases of product life cycle including requirements, design, coding Managing all aspects of the training cycle i.e. Training need analysis, course development, implementation and delivery, monitoring and evaluation. Ensuring quality delivery to students Establish expectations with project members and provide timely feedback Manage the work of developer resources, mentoring and coaching as needed Provide programming direction to a team of trainers. Roles & Responsibilities Training Graduate Engineers, Working professionals, Corporate freshers & Laterals. College Workshop Trainings. Content Development, Technical Assessment and Evaluation, Project development. Desired Skills and Experience Negotiation Skills Selling to Customer Ne edsMotivation for Sales & Target Oriented Building Relationships Desired Candidate Profile Excellent communication skills written and verbal and negotiation skills Knowledge of functioning of academic institutions and placement process The candidate should have good interpersonal skills and networking in the market. Minimum 3 years of Technical Training/Teaching experience preferred Multi-tier architecture knowledge Excellent self-management skills (task lists, status reports, prioritisation) Commitment to quality and timely deliverable Desire to understand the business For

Data Scientist - GTM Analytics At Thomson Reuters, we believe in the power of data to drive smarter decisions and we re looking for someone who shares that belief. As a Data Scientist - Digital Insights, you ll join a dynamic team that s shaping the future of go-to-market strategy through digital analytics, data science, and emerging AI technologies. This opportunity empowers you to work with the latest trends in technology from web traffic intelligence and data visualization to foundational applications of large language models (LLMs). You ll play a key role in transforming digital signals into actionable insights that influence business outcomes. We re proud to be recognized by Great Place to Work India as one of the country s top employers, celebrated for our inclusive culture, strong leadership, and commitment to employee growth. Join us and be part of a workplace where innovation and well-being go hand in hand. About the Role: In this role, you will: Analyze web traffic, user behavior, and campaign performance through Google Analytics Tags to generate actionable insights. Collaborate with marketing, product, and analytics teams to define KPIs and reporting frameworks. Build dashboards and visualizations using tools like Tableau or Power BI to communicate insights effectively. Apply basic data science techniques to uncover trends, segment audiences, and support predictive modeling. Stay current with developments in LLMs and generative AI and explore their application in digital analytics. Present findings to stakeholders using storytelling techniques and data-driven narratives. About You: 1-3 years of experience in digital analytics, data science, or a related field. Proficient in Google Analytics, and web tracking methodologies. Strong SQL and Python skills; experience with data wrangling and exploratory analysis. Familiarity with data visualization tools such as Tableau or Power BI. Exposure to machine learning concepts and basic model building. Understanding of LLMs (e.g., GPT, OpenAI) and prompt engineering is a plus. Experience working with marketing or Go to Market teams is highly desirable. Excellent communication and presentation skills with the ability to simplify complex data. Required Education & Skills: Bachelor s or master s degree in computer science, Data Science, Marketing Analytics, or a related quantitative field. Strong organizational and problem-solving skills. Adaptable, collaborative, and eager to learn in a fast-paced environment. Shift Timing - 12:00 PM - 9:00 PM Hybrid Work Model: Work from Office Twice a week #LI-SS3 What s in it For You Hybrid Work Model: We ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

Job Summary : We are seeking a skilled Data Scientist with expertise in AI orchestration and embedded systems to support a sprint-based Agile implementation focused on integrating generative AI capabilities into enterprise platforms such as Slack, Looker, and Confluence. The ideal candidate will have hands-on experience with Gemini and a strong understanding of prompt engineering, vector databases, and orchestration infrastructure. Key Responsibilities : - Develop and deploy Slack-based AI assistants leveraging Gemini models. - Design and implement prompt templates tailored to enterprise data use cases (Looker and Confluence). - Establish and manage an embedding pipeline for Confluence documentation. - Build and maintain orchestration logic for prompt execution and data retrieval. - Set up API authentication and role-based access controls for integrated systems. - Connect and validate vector store operations (e.g., Pinecone, Weaviate, or Snowflake vector extension). - Contribute to documentation, internal walkthroughs, and user acceptance testing planning. - Participate in Agile ceremonies including daily standups and sprint demos. Required Qualifications : - Proven experience with Gemini and large language model deployment in production environments. - Proficiency in Python, orchestration tools, and prompt engineering techniques. - Familiarity with vector database technologies and embedding workflows. - Experience integrating APIs for data platforms such as Looker and Confluence. - Strong understanding of access control frameworks and enterprise-grade authentication. - Demonstrated success in Agile, sprint-based project environments. Preferred Qualifications : - Experience working with Slack app development and deployment. - Background in MLOps, LLMOps, or AI system orchestration at scale. - Excellent communication skills and ability to work in cross-functional teams.

Mode of work : Hybrid or Remote (Hyderabad or Pune candidates preferred for Hybrid working mode or any candidates from Pan India for remote is also fine) Job Description for AI Architect : Mandatory Skills : - SQL - Data science - AI/ML - GenAI - Data Engineering Optional Skills : Data Modelling Client : Genzeon Position : AI Architect Role & Responsibilities : - Strong Python programming expertise - Hands-on experience with AI-related Python tasks (e.g., data analysis, modeling) - Experience with analyzing discrete datasets - Proficiency in working with pre-trained AI models - Problem-solving ability in real-world AI use cases Python Proficiency : - Speed and accuracy in writing code - Understanding of syntax and debugging without external help - Ability to solve complex problems with minimal Google reliance. AI & Data Analysis Skills : - Hands-on expertise in data manipulation and analysis - Understanding of AI modeling and implementation Problem-Solving & Debugging : - Ability to analyze error logs and fix issues quickly - Logical approach to troubleshooting without relying on trivial searches Practical Application & Use Cases : - Ability to apply AI/ML techniques to real-world datasets - Experience with implementing pre-trained models effectively Interview Task : - Given a dataset , candidates must perform multivariate analysis. - Implement modeling using pre-trained models. - Debugging ability without excessive reliance on Google. - Live coding assessment with an open-book approach (Google allowed but should not rely on basic algorithm searches). Role-Specific Expertise : - If applying for AI Architect, the assessment will focus on AI-related tasks. - If applying for Data Engineer, tasks will be aligned with data engineering requirements

About the job : We are looking for a highly skilled Senior AI/ML Engineer with 5+ years of experience to join our team. The ideal candidate should have extensive expertise in machine learning, deep learning, and AI model development, along with a strong background in Python, NLP, computer vision, and cloud-based AI solutions. Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world applications. - Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems. - Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Optimize model performance using hyperparameter tuning and model evaluation techniques. - Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and similar frameworks. - Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction. - Deploy models in cloud environments (AWS, Azure, or GCP) using SageMaker, Vertex AI, or Azure ML. - Collaborate with cross-functional teams to integrate AI models into production systems. - Ensure scalability, performance, and efficiency of AI/ML solutions. - Stay updated with emerging AI trends and technologies to drive innovation. Required Skills : - Strong experience in machine learning, deep learning, NLP, and AI model development. - Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models. - Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification). - Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models). - Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models). - Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment. - Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc. -Familiarity with API development using Django, Flask, or FastAPI for AI solutions. - Strong problem-solving, analytical, and communication skills. Preferred Skills : - Experience with AI-powered chatbots and OpenAI API integration. - Exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications. - Hands-on experience in generative AI models.

Leverage your technical expertise to shape innovative solutions and align capabilities to solve real-world challenges! As an AI/ML Senior Associate, youll primarily focus on applying Large Language Models (LLM) and Generative AI (GenAI) on different use cases and detailed technical documentation of these AI/ML and LLM/GenAI solutions. You will also engage in some traditional AI/ML model development and documentation to enhance organizational efficiency. Youll contribute to building, implementing, testing, and analyzing ML/AI solutions. Your success will depend on your ability to understand data relationships, use data-driven solutions, and effectively document these products. Strong communication skills are essential for collaborating with key stakeholders across functions and lines of business. Job Responsibilities Develop and document innovative AI/ML models with a focus on GenAI and LLM use cases (using out-of-the-box models). Execute AI/ML model development, ensuring alignment with organizational goals. Document use cases and technical solutions. Apply out-of-the-box LLM products to address various business challenges and create efficiencies. Collaborate with cross-functional teams to identify opportunities for AI/ML integration. Conduct experiments and validate hypotheses to ensure the effectiveness of AI/ML solutions. Provide insights and recommendations based on data analysis and model outcomes. Required Qualifications, Capabilities, and Skills Formal training or certification on software engineering concepts and 2+ years applied experience Hands on experience in AI/ML development and application. BS degree in a related field, such as Data Science, Computer Science, Engineering, or similar STEM discipline. Strong understanding of GenAI and LLM technologies and their applications. Experience working with Large Language Models (LLM), Retrieval-Augmented Generation (RAG), and AI agents, including their design, implementation, and optimization Experience with the use of system prompting, prompt tuning, vector databases and implementing effective guardrails to ensure safe and reliable AI interactions and understanding of AI libraries such as (AutoGen, Langchain, Pydantic, LangGraph) Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Proficiency in programming languages such as Python or R for AI/ML model development/deployment. Experience with AI/ML frameworks and libraries. Ability to translate complex technical concepts into clear documentation and presentations. Strong problem-solving skills and a creative approach to AI/ML application. Preferred Qualifications, Capabilities, and Skills Experience in applying AI/ML solutions in industries such as finance, or technology. Deep understanding of traditional AI/ML techniques as well as GenAI/LLM models. Excellent communication skills for collaboration with stakeholders at various levels. Leverage your technical expertise to shape innovative solutions and align capabilities to solve real-world challenges! Leverage your technical expertise to shape innovative solutions and align capabilities to solve real-world challenges! As an AI/ML Senior Associate, youll primarily focus on applying Large Language Models (LLM) and Generative AI (GenAI) on different use cases and detailed technical documentation of these AI/ML and LLM/GenAI solutions. You will also engage in some traditional AI/ML model development and documentation to enhance organizational efficiency. Youll contribute to building, implementing, testing, and analyzing ML/AI solutions. Your success will depend on your ability to understand data relationships, use data-driven solutions, and effectively document these products. Strong communication skills are essential for collaborating with key stakeholders across functions and lines of business. Job Responsibilities Develop and document innovative AI/ML models with a focus on GenAI and LLM use cases (using out-of-the-box models). Execute AI/ML model development, ensuring alignment with organizational goals. Document use cases and technical solutions. Apply out-of-the-box LLM products to address various business challenges and create efficiencies. Collaborate with cross-functional teams to identify opportunities for AI/ML integration. Conduct experiments and validate hypotheses to ensure the effectiveness of AI/ML solutions. Provide insights and recommendations based on data analysis and model outcomes. Required Qualifications, Capabilities, and Skills Formal training or certification on software engineering concepts and 2+ years applied experience Hands on experience in AI/ML development and application. BS degree in a related field, such as Data Science, Computer Science, Engineering, or similar STEM discipline. Strong understanding of GenAI and LLM technologies and their applications. Experience working with Large Language Models (LLM), Retrieval-Augmented Generation (RAG), and AI agents, including their design, implementation, and optimization Experience with the use of system prompting, prompt tuning, vector databases and implementing effective guardrails to ensure safe and reliable AI interactions and understanding of AI libraries such as (AutoGen, Langchain, Pydantic, LangGraph) Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Proficiency in programming languages such as Python or R for AI/ML model development/deployment. Experience with AI/ML frameworks and libraries. Ability to translate complex technical concepts into clear documentation and presentations. Strong problem-solving skills and a creative approach to AI/ML application. Preferred Qualifications, Capabilities, and Skills Experience in applying AI/ML solutions in industries such as finance, or technology. Deep understanding of traditional AI/ML techniques as well as GenAI/LLM models. Excellent communication skills for collaboration with stakeholders at various levels. Leverage your technical expertise to shape innovative solutions and align capabilities to solve real-world challenges!

"myCareer1" class="modal fade" role="dialog" style="padding:0 !important"> Intern We are seeking a highly motivated intern currently enrolled in an MTech/MSc programme with a background in data science, remote sensing, geoinformatics, environmental science, urban studies, or related disciplines. The intern will support the Adaptation and Risk Analysis team in the preparation and analysis of land use and land cover (LULC) maps for the Bengaluru district using the Google Earth Engine (GEE) platform. The work supports a larger initiative on Ecosystem-based Adaptation (EbA) and climate-resilient urban planning in Bengaluru. Responsibilities Process and classify satellite imagery using GEE Develop interactive graphs and visualisations to illustrate LULC dynamics Assist in the preparation and validation of LULC maps Qualifications Currently enrolled in a master s degree programme in data science, remote sensing & geoinformatics, urban and regional planning, or a related discipline Skill Set Hands-on experience with GEE (JavaScript or Python API) Prior experience with Quantum-GIS or any open-source GIS platform Familiarity with Sentinel datasets (e.g. Sentinel-I and -II missions) and spectral indices Knowledge of LULC classification, urban spatial analysis, and spatial statistics Good communication and documentation skills Duration 3 months (August - October) Location Remote How to Apply Please send an email to careers@cstep.in with the subject Application: Geo-Spatial Intern - Adaptation and Risk Analysis and attach your updated CV as well as a short cover

Are you excited by the prospect of wrangling data, helping develop information systems/sources/tools, and shaping the way businesses make decisionsThe Go-To-Markets Data Analytics team is looking for a skilled Data Engineer who is motivated to deliver top notch data-engineering solutions to support business intelligence, data science, and self-service data solutions. About the Role: In this role as a Data Engineer, you will: Design, develop, optimize, and automate data pipelines that blend and transform data across different sources to help drive business intelligence, data science, and self-service data solutions. Work closely with data scientists and data visualization teams to understand data requirements to ensure the availability of high-quality data for analytics, modelling, and reporting. Build pipelines that source, transform, and load data that s both structured and unstructured keeping in mind data security and access controls. Explore large volumes of data with curiosity and conviction. Contribute to the strategy and architecture of data management systems and solutions. Proactively troubleshoot and resolve data-related and performance bottlenecks in a timely manner. Be open to learning and working on emerging technologies in the data engineering, data science and cloud computing space. Have the curiosity to interrogate data, conduct independent research, utilize various techniques, and tackle ambiguous problems. Shift Timings: 12 PM to 9 PM (IST) Work from office for 2 days in a week (Mandatory) About You You re a fit for the role of Data Engineer, if your background includes: Must have at least 4-6 years of total work experience with at least 2+ years in data engineering or analytics domains. Graduates in data analytics, data science, computer science, software engineering or other data centric disciplines. SQL Proficiency a must. Experience with data pipeline and transformation tools such as dbt, Glue, FiveTran, Alteryx or similar solutions. Experience using cloud-based data warehouse solutions such as Snowflake, Redshift, Azure. Experience with orchestration tools like Airflow or Dagster. Preferred experience using Amazon Web Services (S3, Glue, Athena, Quick sight). Data modelling knowledge of various schemas like snowflake and star. Has built data pipelines and other custom automated solutions to speed the ingestion, analysis, and visualization of large volumes of data. Knowledge building ETL workflows, database design, and query optimization. Has experience of a scripting language like Python. Works well within a team and collaborates with colleagues across domains and geographies. Excellent oral, written, and visual communication skills. Has a demonstrable ability to assimilate new information thoroughly and quickly. Strong logical and scientific approach to problem-solving. Can articulate complex results in a simple and concise manner to all levels within the organization. #LI-GS2 What s in it For You Hybrid Work Model: We ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here . Learn more on how to protect yourself from fraudulent job postings here . More information about Thomson Reuters can be found on thomsonreuters.com.

Mode of work : Hybrid or Remote (Hyderabad or Pune candidates preferred for Hybrid working mode or any candidates from Pan India for remote is also fine) Mandatory Skills : - SQL - Data science - AI/ML - GenAI - Data Engineering Optional Skills : Data Modelling Client : Genzeon Position : AI Architect Role & Responsibilities : - Strong Python programming expertise - Hands-on experience with AI-related Python tasks (e.g., data analysis, modeling) - Experience with analyzing discrete datasets - Proficiency in working with pre-trained AI models - Problem-solving ability in real-world AI use cases Python Proficiency : - Speed and accuracy in writing code - Understanding of syntax and debugging without external help - Ability to solve complex problems with minimal Google reliance. AI & Data Analysis Skills : - Hands-on expertise in data manipulation and analysis - Understanding of AI modeling and implementation Problem-Solving & Debugging : - Ability to analyze error logs and fix issues quickly - Logical approach to troubleshooting without relying on trivial searches Practical Application & Use Cases : - Ability to apply AI/ML techniques to real-world datasets - Experience with implementing pre-trained models effectively Interview Task : - Given a dataset , candidates must perform multivariate analysis. - Implement modeling using pre-trained models. - Debugging ability without excessive reliance on Google. - Live coding assessment with an open-book approach (Google allowed but should not rely on basic algorithm searches). Role-Specific Expertise : - If applying for AI Architect, the assessment will focus on AI-related tasks. - If applying for Data Engineer, tasks will be aligned with data engineering requirements

Data Scientist Responsibilities : Data Exploration and Insights : - Conduct continuous data exploration and analysis to identify opportunities for enhancing data matching logic, including fuzzy logic, and improving overall data quality within the SCI solution. - This includes working with large datasets from various sources, including Excel files and databases. Data Quality Improvement : - Perform various analyses specifically aimed at improving data quality within the SCI system. - This will involve identifying data quality issues, proposing solutions, and implementing improvements. Weekly Playback and Collaboration : - Participate in weekly playback sessions, using Jupyter Notebook to demonstrate data insights and analysis. - Incorporate new explorations and analyses based on feedback from the working group and prioritized tasks. Project Scaling and Support : - Contribute to the scaling of the SCI project by supporting data acquisition, cleansing, and validation processes for new markets. - This includes pre-requisites for batch ingestion and post-batch ingestion analysis and validation of SCI records. Data Analysis and Validation : - Perform thorough data analysis and validation of SCI records after batch ingestion. - Proactively identify insights and implement solutions to improve data quality. Stakeholder Collaboration : - Coordinate with business stakeholders to facilitate the manual validation of records flagged for manual intervention. - Communicate findings and recommendations clearly and effectively. Technical Requirements : - 5+ years of experience as a Data Scientist. - Strong proficiency in Python and SQL. - Extensive experience using Jupyter Notebook for data analysis and visualization. - Working knowledge of data matching techniques, including fuzzy logic. - Experience working with large datasets from various sources (Excel, databases, etc. - Solid understanding of data quality principles and methodologies. Skills : - SQL - Machine Learning (While not explicitly required in the initial description, it's a valuable skill for a Data Scientist and should be included) - Data Analysis - Jupyter Notebook - Data Cleansing - Fuzzy Logic - Python - Data Quality Improvement - Data Validation - Data Acquisition - Communication and Collaboration - Problem-solving and Analytical skills Preferred Qualifications (Optional, but can help attract stronger candidates) : - Experience with specific data quality tools and techniques. - Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP). - Experience with data visualization tools (e.g., Tableau, Power BI). - Knowledge of statistical modeling and machine learning algorithms

Description & Requirements Basic Qualifications: Strong command of the English language to effectively articulate complex ideas in simple terms to customers. Exceptional interpersonal and customer service/orientation skills. Experience range: 2-4 years work experience and knowledge of PC s, networks and hardware troubleshooting. Exceptional interpersonal and customer service/orientation skills. Working knowledge of current Windows and Linux operating systems and their associated tools and file structures. Proficiency in basic Microsoft applications (Word, PowerPoint, Excel) Industry knowledge: Understanding of fast food and/or POS restaurant operations and systems. Advanced problem solving and analytic skills Able to both multi-task and manage priorities effectively. Preferred Qualifications: with Point of Sale, restaurant, or fast-food work environments and terminology. Working knowledge of computer system networking topologies, troubleshooting and tools, including TCP/IP, O/S command line utilities, DHCP vs fixed IP addresses, and subnet masks. About Infor Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation. For more information visit www.infor.com Our Values At Infor, we strive for an environment that is founded on a business philosophy called Principle Based Management (PBM ) and eight Guiding Principles: integrity, stewardship & compliance, transformation, principled entrepreneurship, knowledge, humility, respect, self-actualization. Increasing diversity is important to reflect our markets, customers, partners, and communities we serve in now and in the future. We have a relentless commitment to a culture based on PBM. Informed by the principles that allow a free and open society to flourish, PBM prepares individuals to innovate, improve, and transform while fostering a healthy, growing organization that creates long-term value for its clients and supporters and fulfillment for its employees. Infor is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment. Infor does not discriminate against candidates or employees because of their sex, race, gender identity, disability, age, sexual orientation, religion, national origin, veteran status, or any other protected status under the law. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section at the bottom of the infor.com/about/careers webpage. At Infor we value your privacy that s why we created a policy that you can read here .

About the job Position: Assistant Manager/Manager Credit Risk What will your day look like - Leading a dynamic team to deliver high impact risk solutions across credit risk (underwriting, exposure controls and line management). - Work with stakeholders across product management, data science, and engineering to build relationship with the partner teams and drive implementation of risk strategies - Manage challenging time constraints to ensure on-time delivery of projects. - Work closely with partner teams in identifying, evaluating, and recommending new data that helps in risk differentiation. - Analyze loss trends and simulate risk decisioning strategies that help optimize revenue, approval rates etc. - Work closely with data science team and recommends credit risk decisioning and model deployment strategy. - Build a risk scorecard that leverages both internal performance data and external performance data that will be leveraged for credit decisioning at both underwriting and account management reviews for existing customers. - Collates analysis and builds presentations that helps articulate the risk strategy for the leadership team. To Help Us Level Up, You Will Ideally Have : - Quantitative background in engineering, statistics, math, economics, business, or related disciplines. - 5+ years experience in analyzing data and using database query language (e. SQL) analysis and programming and developer tools such as Python, R, data bricks in a finance or analytics field. - 2+ years of experience in leading high performing team of analysts. - Experience in working with non-traditional data such as social media will be a big plus. - Prior model building experience is a plus but not critical. - Possesses an analytical mindset and strong problem-solving skills. - Attention to detail and ability to multitask. - Comfortable working in a fast-paced environment and dealing with ambiguity. - Possesses strong communication, interpersonal and presentation skills; and ability to engage and collaborate with multiple stakeholders across teams. - Extremely proactive communicator willing to raise flags when needed and keep team members informed of ongoing risk or fraud related activities.

About the job : We are looking for a highly skilled Senior AI/ML Engineer with 5+ years of experience to join our team. The ideal candidate should have extensive expertise in machine learning, deep learning, and AI model development, along with a strong background in Python, NLP, computer vision, and cloud-based AI solutions. Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world applications. - Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems. - Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Optimize model performance using hyperparameter tuning and model evaluation techniques. - Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and similar frameworks. - Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction. - Deploy models in cloud environments (AWS, Azure, or GCP) using SageMaker, Vertex AI, or Azure ML. - Collaborate with cross-functional teams to integrate AI models into production systems. - Ensure scalability, performance, and efficiency of AI/ML solutions. - Stay updated with emerging AI trends and technologies to drive innovation. Required Skills : - Strong experience in machine learning, deep learning, NLP, and AI model development. - Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models. - Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification). - Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models). - Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models). - Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment. - Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc. - Familiarity with API development using Django, Flask, or FastAPI for AI solutions. - Strong problem-solving, analytical, and communication skills. Preferred Skills : - Experience with AI-powered chatbots and OpenAI API integration. - Exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications. - Hands-on experience in generative AI models.

Data Scientist Responsibilities : Data Exploration and Insights : - Conduct continuous data exploration and analysis to identify opportunities for enhancing data matching logic, including fuzzy logic, and improving overall data quality within the SCI solution. - This includes working with large datasets from various sources, including Excel files and databases. Data Quality Improvement : - Perform various analyses specifically aimed at improving data quality within the SCI system. - This will involve identifying data quality issues, proposing solutions, and implementing improvements. Weekly Playback and Collaboration : - Participate in weekly playback sessions, using Jupyter Notebook to demonstrate data insights and analysis. - Incorporate new explorations and analyses based on feedback from the working group and prioritized tasks. Project Scaling and Support : - Contribute to the scaling of the SCI project by supporting data acquisition, cleansing, and validation processes for new markets. - This includes pre-requisites for batch ingestion and post-batch ingestion analysis and validation of SCI records. Data Analysis and Validation : - Perform thorough data analysis and validation of SCI records after batch ingestion. - Proactively identify insights and implement solutions to improve data quality. Stakeholder Collaboration : - Coordinate with business stakeholders to facilitate the manual validation of records flagged for manual intervention. - Communicate findings and recommendations clearly and effectively. Technical Requirements : - 5+ years of experience as a Data Scientist. - Strong proficiency in Python and SQL. - Extensive experience using Jupyter Notebook for data analysis and visualization. - Working knowledge of data matching techniques, including fuzzy logic. - Experience working with large datasets from various sources (Excel, databases, etc. - Solid understanding of data quality principles and methodologies. Skills : - SQL - Machine Learning (While not explicitly required in the initial description, it's a valuable skill for a Data Scientist and should be included) - Data Analysis - Jupyter Notebook - Data Cleansing - Fuzzy Logic - Python - Data Quality Improvement - Data Validation - Data Acquisition - Communication and Collaboration - Problem-solving and Analytical skills Preferred Qualifications (Optional, but can help attract stronger candidates) : - Experience with specific data quality tools and techniques. - Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP). - Experience with data visualization tools (e.g., Tableau, Power BI). - Knowledge of statistical modeling and machine learning algorithms

Job Summary : Identify opportunities using/building own network within and outside firm to drive business development activities Work Independently on business development and project delivery from onshore/offshore as needed Prepare response to RFP and drive client conversation /presentations to dive business opportunities Prepare business case, Solution options, project plans, estimates , staffing requirements and execution approach for the EPM opportunities and use them as part of proposal to the client appropriately Lead project delivery, client conversation and manage stakeholders on the project both internal and external Lead the team of experienced management consultants and direct/guide teams on project executions as per planned timelines Lead the solution design and implementation aspects of engagement(s) ensuring high quality within constraints of time and budget Effectively co-ordinate with client organizations and work towards maintaining & enhancing effective client relationships Lead the EPM application design aspects and the assessment of project requirements and deliverables to identify the best solution for clients Bring in external view and work on internal capability building in new emerging trends of EPM such as AI/ML, Data science, Narrative Reporting & Analytics Roles & Responsibilities: EPM Application Architect . This role is to support Accenture in delivering EPM programs (planning and forecasting, management reporting, analytics). This profile is for a senior program lead with responsibilities to drive client engagements through the design of application-based solutions, leveraging process knowledge of planning/forecasting and technology/systems integration experience - combining technology and data models. Excellent leadership and team management skills Affinity with large organizations and large projects Candidate should be self-motivated with strong analytical, problem solving, interpersonal and communication skills Candidate should be responsible for sales and productivity of the team Ability to lead and work with geographically dispersed teams/Cross cultural competence Ability to drive solutions independently Attention to Detail Integrated Business Perspective with special emphasis on technology enablement Qualification Professional & Technical Skills: Must have 12+ years of relevant work experience , preferably 10+ years in consulting and business development Functional experience in Digital Finance, Planning, and budgeting processes, KPI Identification and Management and financial reporting Experience in AI/ML or data science use cases in FP&A processes Experience in Data & Master data governance Functional experience in Finance transformation projects across all or any of the phases i.e. Plan, Design, Build, Test and Deploy, preferably involving implementation of Enabling technology, tools, and Software applications Must have at least 3 full lifecycles implementation experience in implementing either of these EPM/technology (Oracle EPM Suite (E-PBCS, FCCS), Anaplan, SAP SAC/ BPC/GR, OneStream etc. ) Experience in Management and Financial reporting, performance management, disclosure management, XBRL reporting, last mile reporting ( Oracle Analytic Cloud (OAC), Power BI, Tableau, QlikView, Workiva, etc .) Should have experience of handling teams of 12-15 resources independently.

About the Role: Grade Level (for internal use): 11 The Team As a member of the EDO, Collection Platforms & AI Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative. Whats in it for you: Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities: Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical Requirements: Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP projectcustom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment toolsAirflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good to have: Masters or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelors) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

About the Role: Grade Level (for internal use): 11 The Role: Foreseer AI Lead The Team The Foreseer team delivers digital transformation solutions at SPGMI for information extraction from structures and semi structured documents and websites. Foreseer is a human in the loop platform that combines latest AI/ML advances with a state-of-the-art UI for delivering multiple projects, all powered by a core distributed, cloud native, auto scalable framework. Team comprises of experts in Java and Python language and ML engineers. Responsibilities Include Support and foster a quality-first, agile culture that is built on partnership, trust and sharing Design, develop and maintain functionalities to create new solutions on the platform. Learning and understanding all aspects of the framework and the project deliverables. Be technically deep and provide input on architecture, design and code. Be responsible for driving technical design, architecture and implementation of new features and iterations of your project. Collaborate closely with business and PM stakeholders in roadmap planning and implementation efforts and ensure technical milestones align with business requirements. Implement security measures and compliance standards to protect sensitive data and ensure adherence to industry regulations. Maintain comprehensive documentation of platform, processes and procedures for reference and knowledge sharing. Ensure the use of standards, governance and best practices in the industry to deliver high quality scalable solutions. Ability to adapt communication styles to various audiences, from engineers to business stakeholders and executive leadership. Strategic thinker and influencer with demonstrated technical and business acumen and problem-solving skills. Experience & Qualifications BS or MS degree in Computer Science, AI/ML, Data Science or related field. Overall experience should be 10+ Years. 6+ years hands on experience in AI/ML, Data Science or Technology Strategy 3+ years of experience in leadership roles. Strong understanding of AI technologies (e.g. Genrative AI, NLP, Computer Vision) and their business applications. Background in Consulting or Corporate strategy with focus on AI. Familiarity with AI platforms (e.g., TensorFlow, PyTorch) and cloud AI services (AWS, GCP, Azure). Hands on experience in leveraging language models for information retrieval. Experience in different data base technologies (like RDBMS, NOSQL) Experience in Containerization, Container orchestration systems, cloud platforms, CI/CD, and deployments through CI/CD pipelines, and AWS services like S3, EKS, EC2 etc. Proficiency in the development environment, including IDE, web & application server, GIT, Azure DevOps, unit-testing tool and defect management tools Nice to Have Skills Distributed systems programming. Hands on experience in Java and Front End technologies. Hands on experience with Elastic/Redis search. Experience in Agile and Scrum methodologies Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

About the Role: Grade Level (for internal use): 10 The Role: Foreseer AI Data Scientist III The Team The Foreseer team delivers digital transformation solutions at SPGMI for information extraction from structures and semi structured documents and websites. Foreseer is a human in the loop platform that combines latest AI/ML advances with a state-of-the-art UI for delivering multiple projects, all powered by a core distributed, cloud native, auto scalable framework. Team comprises of experts in Java and Python language and ML engineers. Responsibilities Include Support and foster a quality-first, agile culture that is built on partnership, trust and sharing Design, develop and maintain functionalities to create new solutions on the platform. Learning and understanding all aspects of the framework and the project deliverables. Be technically deep and provide input on architecture, design and code. Be responsible for driving technical design, architecture and implementation of new features and iterations of your project. Collaborate closely with business and PM stakeholders in roadmap planning and implementation efforts and ensure technical milestones align with business requirements. Implement security measures and compliance standards to protect sensitive data and ensure adherence to industry regulations. Maintain comprehensive documentation of platform, processes and procedures for reference and knowledge sharing. Ensure the use of standards, governance and best practices in the industry to deliver high quality scalable solutions. Ability to adapt communication styles to various audiences, from engineers to business stakeholders and executive leadership. Strategic thinker and influencer with demonstrated technical and business acumen and problem-solving skills. Experience & Qualifications BS or MS degree in Computer Science, AI/ML, Data Science or related field. Overall experience should be 8+ Years. 4+ years hands on experience in AI/ML, Data Science or Technology Strategy Strong understanding of AI technologies (e.g. Generative AI, NLP, Computer Vision) and their business applications. Background in Consulting or Corporate strategy with focus on AI. Familiarity with AI platforms (e.g., TensorFlow, PyTorch) and cloud AI services (AWS, GCP, Azure). Hands on experience in leveraging language models for information retrieval. Experience in different data base technologies (like RDBMS, NOSQL) Experience in Containerization, Container orchestration systems, cloud platforms, CI/CD, and deployments through CI/CD pipelines, and AWS services like S3, EKS, EC2 etc. Proficiency in the development environment, including IDE, web & application server, GIT, Azure DevOps, unit-testing tool and defect management tools Nice to Have Skills Distributed systems programming. Hands on experience in Java and Front-End technologies. Hands on experience with Elastic/Redis search. Experience in Agile and Scrum methodologies Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- , SWP Priority Ratings - (Strategic Workforce Planning)

About the Role: Grade Level (for internal use): 10 The Team: Join the TeraHelix team within S&P Globals Enterprise Data Organisation (EDO). We are a dynamic group of highly skilled engineers dedicated to building innovative data solutions that empower businesses. Our team works collaboratively on foundational data products, leveraging cutting-edge technologies to solve real-world client challenges. The Impact: As part of the TeraHelix team, you will contribute to the development of our marquee AI-enabled data products, including TeraHelix's GearBox, ETL Mapper and Data Studio solutions. Your work will directly impact our clients by enhancing their data capabilities and driving significant business value. Whats in it for you: Opportunity to work on a distributed, cloud-native, fully Java tech stack (Java 21+) with UI components built in the Vaadin framework. Engage in skill-building and innovation opportunities in a supportive environment. Collaborate with a diverse group of professionals across data, product, and technology disciplines. Contribute to projects that have a tangible impact on the organisation and the industry. Key Responsibilities: Design, develop and maintain robust data pipelines to support data ingestion, transformation and storage. Write efficient SQL queries for data extraction, manipulation and analysis. Utilise Apache Spark & Python for data processing, automation and integration with various data sources. Collaborate with data scientists and stakeholders to understand data requirements and deliver actionable insights. Implement data quality checks and validation processes to ensure data accuracy and reliability. Analyse large datasets to identify trends, patterns and anomalies that inform business decisions. Create and maintain documentation for data processes, workflows and architecture. Stay updated on industry best practices and emerging technologies in data engineering and analysis. Provide support using data visualisation tools to help stakeholders interpret data effectively. What were looking for: Bachelors degree or higher in Computer Science or a related field. Strong experience in SQL for data manipulation and analysis. Proficiency in Spark (Java, SQL or PySpark) and Python for data processing and automation tasks. Solid understanding of data engineering principles and best practices. Experience with data analytics and the ability to derive insights from complex datasets. Familiarity with big data technologies (e.g. Hadoop, Spark) and cloud data platforms (e.g. AWS, Azure, GCP). Familiarity with data visualisation tools (e.g. Power BI, Tableau, Qlik) and Data Science Notebooks (e.g. Jupyter, Apache Zeppelin) to present findings effectively. Knowledge of financial or capital markets to understand business domain requirements. Excellent problem-solving skills and attention to detail. Strong communication skills for collaboration with cross-functional teams. Nice to have: Experience with Java for data processing or integration tasks. Knowledge of ETL (Extract, Transform, Load) processes and tools. Understanding of data warehousing concepts and architecture. Experience with version control systems (e.g. Git, GitHub, Bitbucket, Azure DevOps). Interest in machine learning and data science concepts. Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- , SWP Priority Ratings - (Strategic Workforce Planning)

About the Role: Grade Level (for internal use): 09 Department overview AutomotiveMastermind provides U.S. automotive dealers with AI/behavior prediction analytics software and marketing solutions that improve the vehicle purchase process and results. The companys cloud-based technology helps dealers precisely predict automobile-buying behavior and automates the creation of microtargeted customer communications, leading to proven higher sales and more consistent customer retention. Responsibilities: Work closely with Product Management and Data Strategy leadership to understand short and long-term roadmaps, and overall Data product strategy Drive backlog grooming agile sprint ceremony, acting as bridge between business needs and technical implementation Present on behalf of agile teams in sprint review, reiterating business value delivered with each work increment completed Develop expertise on the existing aM ecosystem of integrations and data available within the system Collaborate with data analysts, data management, data science, and engineering teams to develop short and long-term solutions to meet business needs and solve distinct problems Application of deep, creative, rigorous thinking to solve broad, platform-wide technical and/or business problems Identify key value drivers and key opportunities for/sources of error across products and processes Develop short-term preventive or detective measures, and leading medium/long-term product improvement initiatives arrived at via close collaboration with engineering, QA, and data support Coordinate with data engineers as appropriate to design and enable repeatable processes and generate deliverables to answer routine business questions What Were Looking For: Basic Required Qualifications: Minimum 4 years working experience as a Product Owner or Product Manager in an Agile scrum framework Experience using data and analytical processes to drive decision making, with ability to explain how analysis was done to an executive audience Strong knowledge of Agile development framework, with practical experience to support flexible application of principles Strong conceptual understanding of data integrations technologies and standards Working familiarity with road-mapping and issue tracking software applications (Aha!, MS Azure DevOps, Salesforce) Familiarity with Microsoft Excel, SQL, BigQuery, MongoDB, and Postman preferred An advocate for the importance of leveraging data, a supporter of the use of data analysis in decision-making, and a fierce promoter of data and engineering best practices throughout the organization. Passionate about empirical research A team player who is comfortable working with a globally distributed team across time zones A solid communicator, both with technology teams and with non-technical stakeholders PreferredExperience with or awareness of and interest in dimensional data modeling concepts B.tech/M.tech qualified. Grade9 LocationGurgaon Hybrid Modetwice a week work from office Shift Time12 pm to 9 pm IST About automotiveMastermind Who we are: Founded in 2012, automotiveMastermind is a leading provider of predictive analytics and marketing automation solutions for the automotive industry and believes that technology can transform data, revealing key customer insights to accurately predict automotive sales. Through its proprietary automated sales and marketing platform, Mastermind, the company empowers dealers to close more deals by predicting future buyers and consistently marketing to them. automotiveMastermind is headquartered in New York City. For more information, visit automotivemastermind.com. At automotiveMastermind, we thrive on high energy at high speed. Were an organization in hyper-growth mode and have a fast-paced culture to match. Our highly engaged teams feel passionately about both our product and our people. This passion is what continues to motivate and challenge our teams to be best-in-class. Our cultural values of Drive and Help have been at the core of what we do, and how we have built our culture through the years. This cultural framework inspires a passion for success while collaborating to win. What we do: Through our proprietary automated sales and marketing platform, Mastermind, we empower dealers to close more deals by predicting future buyers and consistently marketing to them. In short, we help automotive dealerships generate success in their loyalty, service, and conquest portfolios through a combination of turnkey predictive analytics, proactive marketing, and dedicated consultative services. Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- 20 - Professional (EEO-2 Job Categories-United States of America), PDMGDV202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)