5495 Data Science Jobs - Page 27

Deliver theory + real-time project-based training in AI / ML / Data Science, Full Stack Web Development (Java / Python), Cyber Security, Data Analytics, Embedded Systems. Deliver theory & Practical hands-on training and real-time project guidance

We are seeking a highly skilled Senior Data Scientist with experience in pricing optimization, pricing elasticity, and AWS SageMaker. The ideal candidate will have a strong foundation in Statistics and Machine Learning, with a particular focus on Bayesian modeling. As part of our Data Science team, you will work closely with clients to develop advanced pricing strategies using state-of-the-art tools and techniques, including AWS SageMaker, to optimize business outcomes. Key Responsibilities: Lead and contribute to the development of pricing optimization models, leveraging statistical and machine learning techniques to inform strategic decisions. Analyze pricing elasticity to predict consumer response to changes in price, helping clients maximize revenue and market share. Implement and deploy machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment. Utilize Bayesian modeling to support decision-making processes, providing insights into uncertainty and model predictions. Collaborate with cross-functional teams to integrate data-driven insights into business processes. Communicate complex results and findings in a clear and concise manner to both technical and non-technical stakeholders. Continuously explore and experiment with new modeling approaches and tools to improve accuracy and efficiency of pricing solutions. Qualifications Bachelors or Masters degree in Data Science, Statistics Mathematics Economics, or a related field. Advanced degrees preferred. 5+ years of hands-on experience in data science, with a focus on pricing optimization and elasticity modeling. Expertise in Bayesian modeling and machine learning techniques. Proven experience working with AWS SageMaker for model development, deployment, and monitoring. Familiarity with AWS Certified Data Analytics Specialty certification is a plus. Strong programming skills in Python (preferred) or R. Experience with cloud platforms (AWS preferred), including SageMaker. Proficiency in statistical analysis tools and libraries (e.g., NumPy, Pandas, PyMC3, or similar) Excellent problem-solving and analytical thinking skills. Ability to work in a fast-paced environment and manage multiple projects. Strong communication skills with the ability to explain complex concepts to non-technical audiences. Preferred Qualifications : Experience with A/B testing, econometrics, or other statistical experimentation methods. Familiarity with other cloud computing platforms (e.g., Azure, GCP). Experience working in cross-functional teams and client-facing roles. Additional Information Opportunity to work with cutting-edge technology in a dynamic environment. Exposure to a diverse range of industries and projects. Collaborative and inclusive work culture with opportunities for growth and professional development.

Experience in data science, machine learning, and AI model training. Strong skills in Python, TensorFlow, Hugging Face Transformers, and Google Vertex AI. Prior experience in RCM, healthcare data, or insurance analytics is a strong plus.

Returnship- Hiring Data science professionals Experience: 3 Years - 8 Years Location: Pan India JD: Data science- ML, Text analytics, Regression, Data classification and prediction, API’s Software’s:- python , power BI, sql, tableau. Platforms: H2O, Data robot Analytics code Deployment using Azure, AWS, on prem methods etc.

Notice Immediate to 15 days, Hybrid model. Job Description 5+ years of hands-on experience as an AI Engineer, Machine Learning Engineer, or a similar role focused on building and deploying AI/ML solutions. Strong proficiency in Python and its relevant ML/data science libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch). Extensive experience with at least one major deep learning framework such as TensorFlow, PyTorch, or Keras. Solid understanding of machine learning principles, algorithms (e.g., regression, classification, clustering, ensemble methods), and statistical modeling. Experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services (e.g., SageMaker, Azure ML, Vertex AI). Contact Person: Sheena Rakesh Email ID: sheena@gojobs.biz

Clarivate offers proprietary market access data sets aggregated to provide a comprehensive view of todays healthcare ecosystem and offer invaluable insights from pre-launch through product maturity. We are looking for a Sr. Product Manager , reporting into the VP of Product Management for our Bangalore office. Across the Healthcare and Data Solutions organizationour focus remains on driving growthby product enhancements. About You education, experience, skills, and accomplishments Minimum bachelors degree in computer science, Statistics, Technology, or Engineering, or equivalent work experience, preferably with a data science background. Atleast 5 years in total working as a product manager, in the pharmaceutical analytics industry. A strong technical background coupled with an understanding of how data is leveraged to drive business outcomes in the pharmaceutical industry. Familiarity with analytics using SQL, SAS, Python, R, statistical modeling, and AI/ML techniques. Experience using JIRA and Confluence Ability to think and articulate clearly, concisely, and accurately for writing requirements. Excellent presentation and communication skills. Highly self-motivated, confident to work on projects alone as well as leading a team An enthusiastic approach to extending knowledge and learning new skills Strong commitment to quality of work and good attention to detail What you will be doing in this role Project management to shape the product strategy and delivering roadmap for Disease Intelligence & Analytics products. Utilize Real World Data (Claims, EHR, Pharmacy data etc.) for new products as well as enhancing existing products. Communicate the project requirements to key stakeholders. Bring teams together to define and implement product features and translate them into requirements. Ability to work well with internal teams, including developers, engineers, architects, quality assurance, and operations. Ensure requirements are fully understood and that implementation plans match expectations. Define success criteria for testing and product acceptance. Facilitate the creation and maintenance of proper product documentation. About the Team Its a small team working closely with various other teams like Content team, Technology team, UI/UX team etc. for the project Working Hrs Monday to friday - Candidate should be flexible as the time might cut across other timezone as well.

Primary Skills (Must Have): Generative AI Expertise: Extensive experience in designing and implementing generative AI solutions, including knowledge of various generative models such as GANs, VAEs, and autoregressive models. Ability to apply generative AI techniques to diverse use cases such as image generation, text generation, and creative content synthesis. Proficient in prompt engineering, fine tuning, agentic framework, GenAI SDKs Proficient in Python , Langchain, Langgraph, Pytorch or Tensorflow. Proficient in the Mathematics behind the AI/ML algorithms. MLOps is added advantage. Proficiency in basic and advanced RAG techniques, auto evaluations of RAG outputs Azure Proficiency: Profound understanding and hands-on experience with Azure cloud services relevant to AI, including Azure Machine Learning, Azure AI Foundary, Azure Cognitive Services, Azure Databricks, and Azure Kubernetes Service (AKS). Ability to leverage Azure's capabilities to architect end-to-end AI solutions and optimize performance. Architecture Design: Strong architectural skills with the ability to design scalable, reliable, and cost-effective architectures for AI solutions. Proficiency in designing distributed systems, microservices architectures, and containerized solutions using technologies such as Docker and Kubernetes. Leadership and Collaboration: Exceptional leadership skills with the ability to lead cross-functional teams and drive architectural decisions. Proven experience in mentoring junior team members, conducting code reviews, and fostering a culture of innovation and collaboration. Problem-solving and Innovation: Strong analytical and problem-solving skills, with a track record of proposing innovative solutions to complex technical challenges. Ability to stay updated on emerging AI technologies, best practices, and industry trends to drive continuous improvement. Role & responsibilities : As a Gen AI Researcher, your primary role will be to design and develop advanced artificial intelligence solutions for various applications. You will work closely with cross-functional teams to understand business requirements and translate them into scalable and efficient AI architecture. You will also be responsible for leading the implementation and deployment of AI models and systems Lead the design of architecture for generative AI solutions within the Azure/PCAI ecosystem. Collaborate with project managers, data scientists and other stakeholders to understand business goals and determine AI requirements. Design and develop AI architectures, frameworks, and algorithms that can support large-scale and complex AI solutions. Evaluate and select appropriate AI technologies, tools, and frameworks to achieve desired performance, accuracy, and scalability. Lead the development and implementation of AI models, ensuring adherence to best practices in machine learning and deep learning. Develop and maintain AI pipelines, incorporating data cleaning, pre-processing, feature engineering, model training, and validation processes. Optimize AI models and systems for performance, scalability, and efficiency. Conduct regular code reviews and provide technical guidance to junior members of the team. Stay up-to-date with the latest advancements in AI technologies, frameworks, and algorithms, and identify opportunities for their application in the organization. Collaborate with infrastructure teams to ensure smooth deployment and monitoring of AI models in production environments. Document AI architectures, design decisions, and technical specifications for reference and knowledge sharing.

We are looking for a Senior Data Scientist to join our Technology team at Clarivate. You will get the opportunity to work on interesting IP data and interesting challenges to create insights and drive business acumen to add value to our world class products and services About You experience, education, skills, and accomplishments Advanced degree in Computer Science, Statistics, Engineering, Physics, Mathematics, or other quantitative majors, or equivalent work experience. Atleast 4 years of industry experience in the application of ML and NLP Excellent understanding of ML, NLP, and statistical methodologies in a data analytics environment Good programming skills (Python, Java, R or C++) It would be great if you have, Experience with large language model Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies What will you be doing in this role? Researches and identifies Machine Learning (ML) and Natural Language Processing (NLP) methods and algorithms to solve specific problems to improve user experience on IP & Science data and websites Implements these methods and devises appropriate test plans to validate and compare the different approaches Identifies new applications of ML and NLP in the context of Clarivate Analytics extensive sets of content and data Explores existing data for insights and recommends additional sources of data for improvements About the Team You would be part of our incredible data science team of Intellectual property (IP) group & work closely with product and technology teams spreads across various locations worldwide. Hours of Work This is a permanent position with Clarivate.9 hours per day including lunch break. you should be flexible with working hours to align with globally distributed teams and stakeholders.

We are looking for a Senior Data Scientist to join our Technology team at Clarivate. You will get the opportunity to work on interesting IP data and interesting challenges to create insights and drive business acumen to add value to our world class products and services About You experience, education, skills, and accomplishments Advanced degree in Computer Science, Statistics, Engineering, Physics, Mathematics, or other quantitative majors, or equivalent work experience. Atleast 4 years of industry experience in the application of ML and NLP Excellent understanding of ML, NLP, and statistical methodologies in a data analytics environment Good programming skills (Python, Java, R or C++) It would be great if you have, Experience with large language model Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies What will you be doing in this role? Researches and identifies Machine Learning (ML) and Natural Language Processing (NLP) methods and algorithms to solve specific problems to improve user experience on IP & Science data and websites Implements these methods and devises appropriate test plans to validate and compare the different approaches Identifies new applications of ML and NLP in the context of Clarivate Analytics extensive sets of content and data Explores existing data for insights and recommends additional sources of data for improvements About the Team You would be part of our incredible data science team of Intellectual property (IP) group & work closely with product and technology teams spreads across various locations worldwide. Hours of Work This is a permanent position with Clarivate.9 hours per day including lunch break. you should be flexible with working hours to align with globally distributed teams and stakeholders.

Clarivate is on the lookout for a Sr. Software Engineer ML (machine learning) to join our Patent Service team in Noida . The successful candidate will be responsible focus on supporting machine learning (ML) projects, for deploying, scaling, and maintaining ML models in production environments, working closely with data scientists, ML engineers, and software developers to architect robust infrastructure, implement automation pipelines, and ensure the reliability and scalability of our ML systems. The ideal candidate should be eager to learn, equipped with strong hands-on technical and analytical thinking skills, have a passion for teamwork, and staying updated with the latest technological trends. About You experience, education, skills, and accomplishments Holding a Bachelor's in Engineering or a Master's degree (BE, ME, B.Tech, M.Tech, MCA, MS) with strong communication and reasoning abilities is required. Proven experience as a Machine Learning Engineer or similar position Deep knowledge of math, probability, statistics and algorithms Outstanding analytical and problem-solving skills Understanding of data structures, data modeling and software architecture Good understanding of ML concepts and frameworks (e.g., TensorFlow, Keras, PyTorch) Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas Expertise in Prompt engineering . Expertise in visualizing and manipulating big datasets Working experience for managing ML workload in production Implement and/ or practicing MLOps or LLMOps concepts Additionally, it would be advantageous if you have: Experience in Terraform or similar, and IAC in general. Familiarity with AWS Bedrock. Experience with OCR engines and solutions, e.g. AWS Textract, Google Cloud Vision. Interest in exploring and adopting Data Science methodologies, and AI/ML technologies to optimize project outcomes. Experience working in a CI/CD setup with multiple environments, and with an ability to manage code and deployments towards incrementally faster releases. Experience with RDBMS and NoSQL databases, particularly MySQL or PostgreSQL. What will you be doing in this role? Overall, you will play a pivotal role in driving the success of the development projects and achieving business objectives through innovative and efficient agile software development practices. Designing and developing machine learning systems Implementing appropriate ML algorithms, analyzing ML algorithms that could be used to solve a given problem and ranking them by their success probability Running machine learning tests and experiments, perform statistical analysis and fine-tuning using test results, training and retraining systems when necessary Implement monitoring and alerting systems to track the performance and health of ML models in production. Ensure security best practices are followed in the deployment and management of ML systems. Optimize infrastructure for performance, scalability, and cost efficiency. Develop and maintain CI/CD pipelines for automated model training, testing, and deployment. Troubleshoot issues related to infrastructure, deployments, and performance of ML models. Stay up to date with the latest advancements in ML technologies, and evaluate their potential impact on our workflows. About the Team Our team comprises driven professionals who are deeply committed to leveraging technology to make a tangible impact in our field of the patent services area . Joining us, you'll thrive in a multi-region, cross-cultural environment, collaborating on cutting-edge technologies with a strong emphasis on a user-centric approach.

We are looking for a highly motivated real-world evidence (RWE) data scientist who has experience in generating insights/evidence from claims and EHR real world data (RWD) to join our growing Bangalore-based RWE analytics team at Clarivate. About You experience, education, skills, and accomplishments Graduate degree in Data science/analytics, Epidemiology, Biostatistics, or related quantitative field At least 3 years experience in a consultative, client-facing role At least 3 years experience using SQL, Python, programming against large relational databases leveraging interoperable-linked, patient-level data at scale Healthcare data expert across various data types (e.g. open/closed claims, inpatient/ambulatory EMR, commercial labs, social determinants, etc.) and codified healthcare data standards (e.g. ICD, CPT, HCPCS, LOINC, Snomed, etc.) It would be great if you also had . . Experience evaluating fit-for-purpose data and implementing research protocols Experienced applying RWD to specific healthcare and life sciences-related research questions and use cases, such as RWE/epidemiology, HEOR, R&D, commercial, public health What will you be doing in this role? Efficiently query multiple data types (medical and pharmacy claims, EMR, lab, charge master) using SQL and Python to identify actionable insights for clients Empower clients to generate RWE utilizing best-in-class observational research by conducting pre-sale feasibility analyses of varying breadth and depth Consult with clients to identify business problems and generate analytics-based solutions Develop and communicate technical, operational, and business specifications to junior analysts and engagement leads Work cross-functionally to support operational processes to deliver data analytics projects on time and with accuracy Contribute to the development and maintenance of internal documentation, code templates, analytics automation, and other process improvement initiatives to support internal team efficiency, effectiveness, and growth About the Team We are a highly motivated team of 20+ analytics, biostatistics, epidemiology, and data science professionals distributed across three countries, working together to provide analytics and insights using Clarivates RWD product for pharmaceutical, biopharma, and Med Tech clients. Hours of Work You will be expected to work on a work schedule (12: 00 PM IST to 9:00 PM IST) to provide for reasonable hours of collaborative work with the US team and there could be a slight extension on an as-needed basis.

We are looking for a Data Scientist to join our Technology team at Clarivate. You will get the opportunity to work on interesting IP data and interesting challenges to create insights and drive business acumen to add value to our world class products and services About You experience, education, skills, and accomplishments Advanced degree in Computer Science, Statistics, Engineering, Physics, Mathematics, or other quantitative majors, or equivalent work experience. Atleast 2 years of industry experience in the application of ML and NLP Excellent understanding of ML, NLP, and statistical methodologies in a data analytics environment Good programming skills (Python, Java, R or C++) It would be great if you have, Experience with large language model Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies What will you be doing in this role? Researches and identifies Machine Learning (ML) and Natural Language Processing (NLP) methods and algorithms to solve specific problems to improve user experience on IP & Science data and websites Implements these methods and devises appropriate test plans to validate and compare the different approaches Identifies new applications of ML and NLP in the context of Clarivate Analytics extensive sets of content and data Explores existing data for insights and recommends additional sources of data for improvements

As a Front-End Developer, you will design and build user interfaces for both internal and customer-facing products. Youll work closely with Engineers, Data Scientists, DevOps, and Product Managers to deliver intuitive, responsive user experiences. This role also offers opportunities to expand your skills in back-end development and AI/ML development, depending on your interests and experience. Our team performs diverse tasks so being flexible is key. About You experience, education, skills, and accomplishments 5+ experience years in UI development with a strong focus on Angular. Strong communication skills, proactive mindset, & problem-solving abilities. A passion for learning, curiosity, and a drive for innovation. Hands-on experience is our top priority, which is why its listed first. A bachelors degree is a plus but takes a backseat in importance. Solid experience with Angular. Proven ability to develop high-quality, responsive UIs. Flexibility in working hours to accommodate our diverse team. Strong communication and collaborative skills. It would be great if you also had . . . Experience with Python and back-end frameworks such as FastAPI. A keen eye for UI/UX design. What will you be doing in this role? Develop and enhance user interfaces across a range of applications. Work closely with global engineering, data science, and product teams. Contribute to UI/UX design discussions and front-end architecture decisions. Communicate effectively and take initiative to work independently when needed.

We are looking for a ML Ops Engineer to join our Technology team at Clarivate. You will get the opportunity to work in a cross-cultural work environment while working on the latest web technologies with an emphasis on user-centered design. About You (Skills & Experience Required) Bachelors or masters degree in computer science, Engineering, or a related field. 5+ years of experience in machine learning, data engineering, or software development. Good experience in building data pipelines, data cleaning, and feature engineering is essential for preparing data for model training. Knowledge of programming languages (Python, R), and version control systems (Git) is necessary for building and maintaining MLOps pipelines. Experience with MLOps-specific tools and platforms (e.g., Kubeflow, MLflow, Airflow) can streamline MLOps workflows. DevOps principles, including CI/CD pipelines, infrastructure as code (IaaC), and monitoring is helpful for automating ML workflows. Experience with atleast one of the cloud platforms (AWS, GCP, Azure) and their associated services (e.g., compute, storage, ML platforms) is essential for deploying and scaling ML models. Familiarity with container orchestration tools like Kubernetes can help manage and scale ML workloads efficiently. It would be great if you also had, Experience with big data technologies (Hadoop, Spark). Knowledge of data governance and security practices. Familiarity with DevOps practices and tools. What will you be doing in this role? Model Deployment & Monitoring : Oversee the deployment of machine learning models into production environments. Ensure continuous monitoring and performance tuning of deployed models. Implement robust CI/CD pipelines for model updates and rollbacks. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Communicate project status, risks, and opportunities to stakeholders. Provide technical guidance and support to team members. Infrastructure & Automation : Design and manage scalable infrastructure for model training and deployment. Automate repetitive tasks to improve efficiency and reduce errors. Ensure the infrastructure meets security and compliance standards. Innovation & Improvement : Stay updated with the latest trends and technologies in MLOps. Identify opportunities for process improvements and implement them. Drive innovation within the team to enhance the MLOps capabilities.

Salary : 25 to 40 LPA Exp: 4 to 8 years Location :/Gurugram/Bangalore/Hyderabad Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Salary : 20 to 35 LPA Exp: 3 to 8 years Location :/Gurugram/Bangalore/Hyderabad Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Objectives Of This Role Design and implement efficient, scalable backend services using Python. Work closely with healthcare domain experts to create innovative and accurate diagnostics solutions. Build APIs, services, and scripts to support data processing pipelines and front-end applications. Automate recurring tasks and ensure robust integration with cloud services. Maintain high standards of software quality and performance using clean coding principles and testing practices. Collaborate within the team to upskill and unblock each other for faster and better outcomes. Primary Skills Python Development Proficient in Python 3 and its ecosystem Frameworks: Flask / Django / FastAPI RESTful API development Understanding of OOPs and SOLID design principles Asynchronous programming (asyncio, aiohttp) Experience with task queues (Celery, RQ) Rust programming experience for systems-level or performance-critical components Testing & Automation Unit Testing: PyTest / unittest Automation tools: Ansible / Terraform (good to have) CI/CD pipelines DevOps & Cloud Docker, Kubernetes (basic knowledge expected) Cloud platforms: AWS / Azure / GCP GIT and GitOps workflows Familiarity with containerized deployment & serverless architecture Bonus Skills Data handling libraries: Pandas / NumPy Experience with scripting: Bash / PowerShell Functional programming concepts Familiarity with front-end integration (REST API usage, JSON handling) Other Skills Innovation and thought leadership Interest in learning new tools, languages, workflows Strong communication and collaboration skills Basic understanding of UI/UX principles Skills:- Rust, Python, Artificial Intelligence (AI), Machine Learning (ML), Data Science, Data Analytics and pandas

About Company Founded in 2011, ReNew, is one of the largest renewable energy companies globally, with a leadership position in India. Listed on Nasdaq under the ticker RNW, ReNew develops, builds, owns, and operates utility-scale wind energy projects, utility-scale solar energy projects, utility-scale firm power projects, and distributed solar energy projects. In addition to being a major independent power producer in India, ReNew is evolving to become an end-to-end decarbonization partner providing solutions in a just and inclusive manner in the areas of clean energy, green hydrogen, value-added energy offerings through digitalisation, storage, and carbon markets that increasingly are integral to addressing climate change. With a total capacity of more than 13.4 GW (including projects in pipeline), ReNew’s solar and wind energy projects are spread across 150+ sites, with a presence spanning 18 states in India, contributing to 1.9 % of India’s power capacity. Consequently, this has helped to avoid 0.5% of India’s total carbon emissions and 1.1% India’s total power sector emissions. In the over 10 years of its operation, ReNew has generated almost 1.3 lakh jobs, directly and indirectly. ReNew has achieved market leadership in the Indian renewable energy industry against the backdrop of the Government of India’s policies to promote growth of this sector. ReNew’s current group of stockholders contains several marquee investors including CPP Investments, Abu Dhabi Investment Authority, Goldman Sachs, GEF SACEF and JERA. Its mission is to play a pivotal role in meeting India’s growing energy needs in an efficient, sustainable, and socially responsible manner. ReNew stands committed to providing clean, safe, affordable, and sustainable energy for all and has been at the forefront of leading climate action in India. Job Description As a Senior Data Scientist, you will be responsible for providing simple and intuitive solutions to the most complex problems in renewable industry. This will involve building machine learning and deep learning models which are coupled with contextual business knowledge. You will also use both management experience and data science expertise to lead analytics projects and mentor junior data scientists . You will be an integral part of conceptualizing, scoping and delivering complex analytics projects . You will do and oversee the development, testing and maintenance of analytical models which mimic business decisions. You will work with a world-class team of site managers, subject experts, data engineers and data scientists to build the next generation data-driven renewable company. Additionally, you will be responsible for continuously identifying opportunities to improve the ways of working and structuring within the analytics center of excellence. Roles and Responsibilities Implement data science solutions which may involve machine learning or data science techniques to increase and optimize outputs Assess the effectiveness and accuracy of data sources and data gathering techniques Manage analytics strategy across multiple use cases Provide analytical expertise in the process of model development, refining and implementation in a variety of analytics problems spread across a variety of domains Oversee and mentor large team of associate and junior-level data scientists, de-bottlenecking issues related to project execution Work closely with translators and business teams to develop and implement analytics solutions Collaborate with the engineering team to integrate data science solutions into production environments and deploy scalable solutions Communicate complex technical concepts and results to non-technical stakeholders in a clear and concise manner Acquire extensive knowledge of renewables industry practices and implement tailor made techniques to solve problems relevant to the same Promote a culture of continuous learning, sharing knowledge, and staying up-to-date with emerging technologies and best practices in data science Profile & Eligible Criteria Bachelor's in Computer Science, Data Science, Statistics, Mathematics, or a related field. Master's degree preferred Proven experience of 4-6 years as a Data Scientist or in a similar role, with a strong track record of delivering successful data science projects Sound theoretical and practical knowledge of working in statistical analysis, machine learning techniques, and deep learning frameworks with solid of understanding of techniques related to regression, classification, NLP, Computer Vision, Generative AI Proficiency in Python is a must. Proficiency in SQL for data manipulation is a plus Worked in developing analytics solutions in 3-4 domains Excellent communication skills to effectively manage a team and collaborate with stakeholders in cross-functional teams Communication skills: Basic level of articulation of theoretical concepts Ability to communicate with cross functional roles is a plus Teamwork: Displays ability to work both as an individual and as a self-motivated team player Has worked in large teams with an agile setup in the past

The Team: As a member of the S&P Global Market Intelligence Technology team, you'll join a dynamic group of talented and ambitious engineers. Our software engineers are integral to the full lifecycle of our products, from design through release. You'll be expected to participate in the design, development, troubleshooting, and debugging of software programs to enhance existing products and develop new ones. Collaboration with QA Analysts, Business Analysts, and Infrastructure Teams will be key to your role. Impact: In this position, you'll be responsible for creating technical designs, developing high-performing web applications, and ensuring quality through a comprehensive testing process. You'll work with cutting-edge technologies, where innovation and delivery are rewarded. You will be part of the team that supports the search application on our company-wide product platform, providing essential information to the global finance industry and beyond. What's in it for you: We are currently seeking a Lead Software Developer who is enthusiastic about new and emerging search technologies. This role offers the chance to work alongside highly skilled search engineers, including experts in Data Science and Machine Learning. Responsibilities: Architect, design, and develop solutions within a multifunctional Agile team to support key business needs for the platform's search application. Design, implement, and test front-end solutions for the web platform application. Design, implement, and test middleware applications within the search application architecture. Engineer components and common services focused on integration with advanced AI systems. Collaborate with AI/ML teams to integrate next-generation reasoning and agent orchestration. Apply best practices in software engineering while leveraging automation throughout solution delivery. Collaborate and lead effectively with technical and non-technical stakeholders. Must be able to articulate technical solutions through documentation, diagrams, code comments, etc. Qualifications: Basic Qualifications: Bachelors degree in computer science, Information Systems, or Engineering. 9-12 years of significant experience in developing web applications and services. Proficiency in object-oriented design and design patterns. Experience in application development using mainstream programming languages and frameworks. Familiarity with autonomous AI systems and interest in AI planning tools. Experience in backend integration involving AI APIs. Solid experience in web development technologies. Minimum of 3 years of experience in working with search technologies. Knowledge of cloud computing platforms, containerization, and orchestration. Understanding of modern communication protocols. Experience with machine learning models for enhancing application features is advantageous. Proficient in Agile development methodologies including familiarity with test-driven or behavior-driven development approaches and related testing frameworks. Preferred Qualifications: Additional experience in application development using other programming languages and frameworks is beneficial. Familiarity with distributed systems and messaging protocols. Experience in handling large data volumes with applications/middleware.

We are seeking a highly skilled and motivated Lead Data Scientist to join our team. In this role, you will leverage cutting-edge AI and machine learning technologies to solve complex business problems, design innovative data science solutions, and deliver projects that exceed client expectations. As a leader, you will manage a team of data scientists, collaborate with cross-functional data teams, and provide strategic and technical direction in data science while driving innovation in our product and solution offerings. Mandatory Technical Skills: • Strong statistical and machine learning intuition to address new and unique challenges. • Ability to design, develop and deploy end-to-end data science solutions, POCs and production-grade applications. • Strong proficiency in Python with OOP principles - ( 4 years of experience) • Experience developing APIs using Flask or Fast API frameworks – ( 2 years of experience) • Integration knowledge with front-end applications – ( 1 year of experience) • Expertise in version control systems (e.g., GitHub, GitLab, Azure DevOps) - ( 3 years of experience) • Familiarity with task management tools (e.g., Jira, Azure DevOps) - ( 2 years of experience) • Proficiency in databases, including SQL, NoSQL and vector databases – ( 2 + years of experience) • Working knowledge of ML pipelines and CI/CD. • Experience with at least one of the cloud platforms (Azure, AWS, GCP) - ( 2 + years of experience) Core Excellence Areas (CEA): Candidates must have a strong understanding of fundamentals and good hands-on expertise in at least THREE of the following areas (mention your areas while applying): NLP Generative AI (NLP) Computer Vision Time Series Forecasting Recommendation Systems and Optimization Roles & Responsibilities: • Advanced AI/ML/Gen AI Implementation: o Leverage advanced AI and machine learning techniques to address complex business challenges. o Design, develop, and deliver innovative data science solutions. • Architectural Design: o Develop end-to-end generative AI solutions. o Build scalable architectures for AI/ML models and applications. • Team Leadership: o Lead and mentor a team of data scientists, fostering professional growth and technical excellence. o Provide strategic and technical guidance to ensure the team delivers high-quality projects. • Cross-functional Collaboration: o Work closely with data engineering, product, and business teams to align on objectives and integrate solutions. • Client Engagement : Maintain high levels of client satisfaction through excellent communication, delivering impactful solutions, and building strong relationships. • Innovation: Ideate and implement new approaches for products and solutions, ensuring they stay at the forefront of technology. Nice to have Skills: • Hands-on experience with PySpark, large-scale data processing using distributed frameworks and parallel processing. • Hands-on experience with Azure AI stack, ETL processes, and integration with analytics tools (e.g., Power BI, Tableau) • Knowledge of deep learning frameworks (e.g., PyTorch, TensorFlow, Keras). • Experience with cloud platforms and MLOps practices. • Project management skills to lead initiatives effectively. • Knowledge of graph-based query languages (e.g., Cypher, Gremlin) and Proficiency in graph databases. Experience & Educational Qualifications: • Minimum of 5+ years of experience solving complex machine learning problems. • At least 2+ years of hands-on experience in each of the chosen Core Excellence Areas. • Minimum of 1 year leading and managing ML projects end-to-end. • Bachelor’s degree in computer science, Data Science, or related field (Master’s/PG in AI/ML/DS preferred).

Youll need to work closely with Data Scientists, Data Engineers, UI Engineers, Software Developers, and DevOps teams to design and implement end-to-end AI/GenAI solutions. You will: Be responsible for training, integrating, and deploying AI/GenAI/ML models in Azure/AWS ecosystem. Design and implement enterprise-quality AI/GenAI/ML applications. Optimize deployed models for performance, scalability, and efficiency. Debug and troubleshoot issues in AI/GenAI/ML pipelines and systems. Monitor model performance in production and retrain as necessary to maintain accuracy. Stay conversant with the latest trends, techniques, and tools in GenAI pipelines. Experiment with state-of-the-art methods and propose innovative solutions to complex problems. Excellent written and verbal communication skills required. Technical Skills: Excellent Python, PySpark, and SQL skills. Knowledge of GenAI stack is a big plus. Experience with Azure DevOps / AWS DevOps for ML projects, Databricks, CI/CD pipelines, and repositories. Experience with Azure/AWS MLOps/Kubeflow. Experience of training and deploying AI/GenAI/ML models into production environments and integrating them with existing systems. Knowledge of containerization tools like Docker, orchestration systems like Kubernetes, and inference platforms like Kserve / NVIDIA Triton. Knowledge of Azure / AWS ETL pipelines is a plus (but not mandatory). Soft Skills: Excellent written and verbal communication. Exceptional problem-solving and multitasking skills in a fast-paced environment. Experience Level: 8+ years of experience in ML Engineering.

As an Assistant Professor in Computer Science and Information Science at Intellipaat, you will play a key role in shaping the academic experience of our learners. Your passion for teaching, academic excellence, and commitment to innovation in education will be instrumental in driving the success of our programs. In this role, you will deliver engaging lectures and tutorials, mentor students in their academic projects and research endeavors, and contribute to curriculum design using modern pedagogical methods. You will provide practical exposure to industry-relevant tools and skills, ensuring that our students are well-prepared for the professional world. Additionally, you will actively participate in departmental activities such as exam coordination, paper setting, invigilation, and evaluation of answer scripts. Your involvement in accreditation and quality assurance processes will contribute to enhancing institutional performance and maintaining academic standards. Furthermore, you will have the opportunity to initiate and lead research projects with a focus on innovation and societal impact. Collaborating with academic leadership and fostering interdisciplinary connections both within and outside the institution will be key aspects of your role. To excel in this position, you should hold an M.Tech in Computer Science Engineering or Information Science Engineering with a minimum of 60% marks in both your undergraduate and postgraduate studies. A strong background in teaching or relevant academic experience spanning 14 years is preferred. Proficiency in Python, Data Science, Machine Learning Algorithms, AI, Computer Vision, NLP, and Web development technologies such as HTML, CSS, JS, React, and Node.js (MERN Stack) is essential. Joining Intellipaat offers you the opportunity to work in a rapidly growing EdTech company, where you will be exposed to academic innovation, digital pedagogy, and cutting-edge tech education. You will thrive in a collaborative environment that values research, learning, and leadership development. Continuous career growth is supported through structured faculty training programs and opportunities for upskilling.,

At Teradata, you will play a crucial role as a Sr. Data Scientist by collaborating with the Region Solution Leads, Services sales teams, Teradata Account Teams, and Product Management Team to support them on pre-sales/solutions activities. Your responsibilities will include conceptualizing Use case solutions, supporting Pre-Sales initiatives, and demonstrating strong technical and interpersonal skills along with a deep understanding of Business use cases, Teradata technology, ClearScape Analytics, Teradata applications, Teradata services portfolio, and partner solutions. You will be expected to support account teams and prospective customers in analyzing and understanding customer requirements through extensive data exploration and analysis phases. Additionally, you will lead discussions and conceptualize solutions, develop collateral for engagement and sales, utilize Analytical tools and Deep Learning frameworks to deliver solutions, participate in brainstorming sessions, build solution showcases, and provide mentoring and guidance to Pre-sales opportunities based on customer requirements. As a qualified candidate, you should hold a minimum Bachelors Degree in Data Science, AI, Engineering, Computer Science, or Statistics, preferably a Masters or Doctorate in the relevant field. You are required to have 10+ years of experience in data-driven fields such as BI, DWH, Analytics, etc., with proficiency in programming languages like R, Python, Java, and SQL. A strong understanding of Statistical concepts, Machine Learning, statistical modeling, Artificial Intelligence, Deep Learning, and business understanding in fields like Telco, Retail, Manufacturing, Healthcare is essential. Your technical skill set should include experience with cloud computing platforms like Azure, AWS, Google, exposure to Teradata platform, and experience as a Technical Lead in presales support and delivery activities. You should possess a willingness to learn, collaborative attitude, strong analytical skills, ability to manage critical situations independently, story-building skills, critical thinking, problem-solving skills, excellent communication skills, and the ability to present complex ideas to technical and non-technical audiences effectively. At Teradata, we prioritize a people-first culture, embrace a flexible work model, focus on well-being, and are dedicated to Diversity, Equity, and Inclusion. Join us in fostering an equitable environment that celebrates the diversity of our people and enables personal and professional growth.,

Achieving your goals starts with us supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what's next. Let's define tomorrow together. At United, we boast some of the best aircraft in the world. Our Technical Operations team comprises aircraft maintenance technicians, engineers, planners, ground equipment and facilities professionals, and supply chain teams dedicated to ensuring our fleet is well taken care of and ready to transport our customers to their desired destinations. If you're prepared to work on our planes, join our Tech Ops experts and contribute to keeping our fleet in tip-top shape. As the Manager of Technical Operations Engineering Data Science, you will lead the development of advanced analytics and machine learning solutions aimed at enhancing the reliability and operational performance of our fleet, including aircraft systems, engines, and APUs. In this role, you will oversee a team of data scientists and aircraft data analysts, collaborating closely with engineering, aircraft health monitoring, and maintenance operations teams to drive predictive capabilities that facilitate proactive decision-making and reduce operational disruptions. Key Responsibilities: - Lead the development, deployment, and refinement of predictive maintenance models and health monitoring analytics across aircraft, engines, APUs, and other assets in alignment with the Aircraft Predictive Alerting process. - Manage a team of data scientists and analysts, providing technical guidance and ensuring data science solutions are robust, scalable, and operationally effective. - Support the evaluation and ongoing monitoring of model and alert performance; recommend updates or retraining as needed based on operational feedback and data drift. - Drive innovation and continuous improvement in predictive analytics by researching new technologies, tools, and methodologies relevant to reliability and aircraft maintenance. - Manage resourcing, project prioritization, and stakeholder communications to ensure timely delivery of initiatives that reduce operational disruptions and enhance fleet reliability. This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc. Minimum Qualifications: - Bachelor's degree in Engineering, Computer Science, Data Science, Physics, or related field. - 6+ years of experience in an engineering or data-driven role. - Knowledge of data science and modeling techniques, understanding of engineering or aviation concepts, self-starter with the ability to think creatively and evaluate complex problems, project management and organizational skills, strong written and verbal communication skills, proficiency in Microsoft Excel and Power Point. - Must be legally authorized to work in India for any employer without sponsorship. - Must be fluent in English (written and spoken). - Successful completion of the interview required to meet job qualification. - Reliable, punctual attendance is an essential function of the position. Preferred Qualifications: - Master's degree. - Airline or operations experience in a similar industry, experience in propulsion or systems engineering, data analysis experience. - Knowledge of aircraft or engine reliability principles, ability to write, debug, and troubleshoot software code, understanding of data analytics concepts including machine learning, statistical programming, data visualization, etc., knowledge of mechanical or electrical system design in aviation, automotive, or similar industries, knowledge of aviation CFR regulations.,

As a GCP Architect with AI Expertise, you will play a crucial role in leading the design, implementation, and optimization of cloud and AI-driven solutions on Google Cloud Platform (GCP). Your deep expertise in cloud infrastructure, AI/ML, networking, and security will be essential for architecting scalable, secure, and highly available cloud solutions while leveraging AI to drive automation and intelligence across enterprise environments. Your responsibilities will include designing and implementing scalable, secure, and cost-effective architectures on GCP, developing AI/ML-driven solutions using tools such as Vertex AI, BigQuery ML, TensorFlow, and AutoML, and architecting end-to-end data pipelines to support AI model training, deployment, and monitoring. You will also be responsible for building high-availability, backup, and disaster recovery solutions in GCP. In terms of infrastructure and security, you will implement identity management, IAM policies, security protocols, and network segmentation, design and automate provisioning of networks, firewalls, ACLs, and access control policies, and ensure compliance with security and governance frameworks for cloud-based AI workloads. Additionally, you will manage multi-VPC networking, hybrid cloud connectivity, and firewall configurations. Your role will also involve leading large-scale application and network migrations to GCP, developing Terraform-based infrastructure automation, and managing Infrastructure as Code (IaC). You will implement CI/CD pipelines for AI/ML workloads using tools like GitHub, Jenkins, and Ansible, and design DevOps solutions with cloud-native tools and containerized workloads on GKE. As a technical leader and advisor, you will provide strategic guidance on cloud adoption, AI/ML use cases, and infrastructure modernization, lead requirements gathering, solution design, and implementation for GCP cloud-based AI solutions, and support pre-sales activities, including POCs, RFP responses, and SOW creation. You will mentor and provide technical oversight to engineering teams and serve as a trusted cloud advisor for customers, helping them solve complex cloud infrastructure and AI challenges. Furthermore, you will be responsible for optimizing cloud resource usage, cost management, and AI model performance, conducting cloud usage analytics, security audits, and AI model monitoring, and developing strategies to improve network reliability, redundancy, and high availability. If you are passionate about cloud transformation, AI, and solving complex infrastructure challenges, this role presents a perfect opportunity for you to make a meaningful impact in the field of cloud and AI technologies.,