1452 Data Scientist Jobs - Page 32

Join our Team About this opportunity Ericsson is a leading provider of telecommunications equipment and services to mobile and fixed network operators globally. We are seeking a highly skilled and experienced Data Scientist to join our dynamic team at Ericsson. As a Data Scientist, you will be responsible for leveraging advanced analytics and machine learning techniques to drive actionable insights and solutions for our telecom domain. This role requires a deep understanding of data science methodologies, strong programming skills, and proficiency in cloud-based environments. What you will do Develop and deploy machine learning models for various applications including chat-bot, XGBoost, random forest, NLP, computer vision, and generative AI. Utilize Python for data manipulation, analysis, and modeling tasks. Proficient in SQL for querying and analyzing large datasets. Experience with Docker and Kubernetes for containerization and orchestration of applications. Basic knowledge of PySpark for distributed computing and data processing. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Deploy machine learning models into production environments and ensure scalability and reliability. Preferably have experience working with Google Cloud Platform (GCP) services for data storage, processing, and deployment. Experience in analysing complex problems and translate it into algorithms. Backend development in Rest APIs using Flask, Fast API Deployment experience with CI/CD pipelines Working knowledge of handling data sets and data pre-processing through PySpark Writing queries to target Casandra, PostgreSQL database. Design Principles in application development. The Skills You Bring Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. A Master's degree or PhD is preferred. 3-7 years of experience in data science and machine learning roles, preferably within the telecommunications or related industry. Proven experience in model development, evaluation, and deployment. Strong programming skills in Python and SQL. Familiarity with Docker, Kubernetes, and PySpark. Solid understanding of machine learning techniques and algorithms. Experience working with cloud platforms, preferably GCP. Excellent problem-solving skills and ability to work independently as well as part of a team. Strong communication and presentation skills, with the ability to explain complex analytical concepts to non-technical stakeholders. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Bangalore Req ID: 763993

Join our Team About this opportunity Ericsson is a leading provider of telecommunications equipment and services to mobile and fixed network operators globally. We are seeking a highly skilled and experienced Data Scientist to join our dynamic team at Ericsson. As a Data Scientist, you will be responsible for leveraging advanced analytics and machine learning techniques to drive actionable insights and solutions for our telecom domain. This role requires a deep understanding of data science methodologies, strong programming skills, and proficiency in cloud-based environments. What you will do Develop and deploy machine learning models for various applications including chat-bot, XGBoost, random forest, NLP, computer vision, and generative AI. Utilize Python for data manipulation, analysis, and modeling tasks. Proficient in SQL for querying and analyzing large datasets. Experience with Docker and Kubernetes for containerization and orchestration of applications. Basic knowledge of PySpark for distributed computing and data processing. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Deploy machine learning models into production environments and ensure scalability and reliability. Preferably have experience working with Google Cloud Platform (GCP) services for data storage, processing, and deployment. Experience in analysing complex problems and translate it into algorithms. Backend development in Rest APIs using Flask, Fast API Deployment experience with CI/CD pipelines Working knowledge of handling data sets and data pre-processing through PySpark Writing queries to target Casandra, PostgreSQL database. Design Principles in application development. The Skills You Bring Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. A Master's degree or PhD is preferred. 3-7 years of experience in data science and machine learning roles, preferably within the telecommunications or related industry. Proven experience in model development, evaluation, and deployment. Strong programming skills in Python and SQL. Familiarity with Docker, Kubernetes, and PySpark. Solid understanding of machine learning techniques and algorithms. Experience working with cloud platforms, preferably GCP. Excellent problem-solving skills and ability to work independently as well as part of a team. Strong communication and presentation skills, with the ability to explain complex analytical concepts to non-technical stakeholders. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Bangalore Req ID: 763993

Job Title: Data Scientist Location: Remote Job Type: Full-Time | Permanent Experience Required: 4+ Years About the Role: We are looking for a highly motivated and analytical Data Scientist with 4 years of industry experience to join our data team. The ideal candidate will have a strong background in Python , SQL , and experience deploying machine learning models using AWS SageMaker . You will be responsible for solving complex business problems with data-driven solutions, developing models, and helping scale machine learning systems into production environments. Key Responsibilities: Model Development: Design, develop, and validate machine learning models for classification, regression, and clustering tasks. Work with structured and unstructured data to extract actionable insights and drive business outcomes. Deployment & MLOps: Deploy machine learning models using AWS SageMaker , including model training, tuning, hosting, and monitoring. Build reusable pipelines for model deployment, automation, and performance tracking. Data Exploration & Feature Engineering: Perform data wrangling, preprocessing, and feature engineering using Python and SQL . Conduct EDA (exploratory data analysis) to identify patterns and anomalies. Collaboration: Work closely with data engineers, product managers, and business stakeholders to define data problems and deliver scalable solutions. Present model results and insights to both technical and non-technical audiences. Continuous Improvement: Stay updated on the latest advancements in machine learning, AI, and cloud technologies. Suggest and implement best practices for experimentation, model governance, and documentation. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field. 4+ years of hands-on experience in data science, machine learning, or applied AI roles. Proficiency in Python for data analysis, model development, and scripting. Strong SQL skills for querying and manipulating large datasets. Hands-on experience with AWS SageMaker , including model training, deployment, and monitoring. Solid understanding of machine learning algorithms and techniques (supervised/unsupervised). Familiarity with libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn. Preferred Qualifications (Nice to Have): Experience with MLOps tools (e.g., MLflow, SageMaker Pipelines). Exposure to deep learning frameworks like TensorFlow or PyTorch. Knowledge of AWS data ecosystem (e.g., S3, Redshift, Athena). Experience in A/B testing or statistical experimentation Show more Show less

Career Area: Technology, Digital and Data Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Your Impact Shapes the World at Caterpillar Inc Whether it be groundbreaking products, best in class solutions or a lifelong career, you can build what matters to you at Caterpillar. With 150 locations in countries around the world, what you create at Caterpillar travels and helps people around the world. You can collaborate with the best minds in the industry, complete meaningful work and continuously grow and develop through our various opportunities. Here, you can do the work that matters. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Job Summary We are seeking a skilled Data Scientist _ to join our Shared Services COE - Global Financial Services Division This role will be based out of Bangalore-Whitefield office Caterpillar uses quantitative methods such as business simulations, data mining, and advanced statistical techniques to solve problems. The Data Scientist contributes to this mission by leveraging his or her quantitative analysis, data management, modeling and/or data visualization skills as an individual contributor to project teams tasked with solving business problems. What you will do The principal responsibility of the Data Scientist is to be an independent contributor to multi-person analytic teams. This position has a depth of knowledge in quantitative analytic methods, data management, and or associated digital technologies suitable to handle all but the most complex issues. Data Scientist are expected to be familiar with the company’s processes, products, and organization, as well as its customers, competitors, and stakeholders. Work is typically directed by a direct supervisor, project or team lead through a review of results. Decisions on routine, medium risk issues that may affect the project team, suppliers or internal customers may be made by this position. Challenges include meeting expectations in delivering results, learning to refine solutions to better fit complex situations, making timely decisions, and communicating effectively with all project stakeholders. The Information Scientist III also mentors and develops the capabilities and organizational knowledge of more junior data scientists. What you will have Fields of study include computer science, business, mathematics, economics, statistics, engineering or in a related field 4-year degree from an accredited college or university & 4-5 years of business insights and visualization experience Master’s degree & 2-3 years of business insights and visualization experience Or PhD & 1-3 years of business insights and visualization experience Experience with Agile framework for project management methodologies and demonstrated strong abilities in data visualization tools such as Power BI. Identify and merge data sources to provide a safe source for reporting Demonstrated proficiency in SQL and Snowflake to extract, transform, and load (ETL) data. Create user-friendly tools to enable data-driven decisions by leadership. Experience with cloud Experience with solution integration or solution architecture practices, IT operations, & data governance Experience with Data mapping, integration, and transformation to a data warehouse Coordinate with internal stakeholders to deploy data science models into production and monitor their performance Perform data related tasks which could include data analysis, data quality, user access management, and troubleshooting of data issues Programming experience in Python, R, or SAS Experience in data modelling principles/methods including conceptual, logical, and physical data models. Familiarity with DevOps systems, such as GitLab Broad experience building different types of advanced analytic solutions, including some of the following: time series analysis, cluster analysis, tree-based algorithms, generalized linear models, or neural networks. Train and validate predictive models using a range of Machine Learning algorithms to support targeted customer Support the building of tools to automate data collection and model multidimensional datasets Ability to clearly communicate vision and complex technical ideas, data science initiatives and insights to all levels of users within the organization Additional Details: Preferred location: Bangalore, India. Remote work is not acceptable. Travel: 10% travel is expected. 5 days’ Work from office Mandatory Skills desired Business Statistics: Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions. Level Working Knowledge: Explains the basic decision process associated with specific statistics. Works with basic statistical functions on a spreadsheet or a calculator. Explains reasons for common statistical errors, misinterpretations, and misrepresentations. Describes characteristics of sample size, normal distributions, and standard deviation. Generates and interprets basic statistical data. Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision. Level Extensive Experience: Evaluates and makes contributions to best practices. Processes large quantities of detailed information with high levels of accuracy. Productively balances speed and accuracy. Employs techniques for motivating personnel to meet or exceed accuracy goals. Implements a variety of cross-checking approaches and mechanisms. Demonstrates expertise in quality assurance tools, techniques, and standards. Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems. Level Working Knowledge: Approaches a situation or problem by defining the problem or issue and determining its significance. Makes a systematic comparison of two or more alternative solutions. Uses flow charts, Pareto charts, fish diagrams, etc. to disclose meaningful data patterns. Identifies the major forces, events and people impacting and impacted by the situation at hand. Uses logic and intuition to make inferences about the meaning of the data and arrive at conclusions. Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services. Level Working Knowledge: Completes specific tasks and initiatives utilizing machine learning technologies, such as search engine optimization. Utilizes specific tools and techniques to process descriptive and inferential statistics. Applies specific computing languages and tools in machine learning, such as R and Python. Explores to use machine learning in one own areas to make business improvements. Conducts data mining and cleaning initiatives. Programming Languages: Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages. Level Working Knowledge: Participates in the implementation and support of specialized programming languages. Conducts basic reviews on writing a specific programming language within a specific platform. Assists with the design and development of specialized programming languages. Follows an organization's standards, policies and guidelines for structured programming specifications. Diagnoses and reports minor or routine programming language problems. Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use. Level Working Knowledge: Defines, creates and tests simple queries by using associated command language in a specific environment. Applies appropriate query tools used to connect to the data warehouse. Obtains and analyzes query access path information and query results. Employs tested query statements to retrieve, insert, update and delete information. Works with advanced features and functions including sorting, filtering and making simple calculations. Requirements Analysis: Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project. Level Working Knowledge: Follows policies, practices and standards for determining functional and informational requirements. Confirms deliverables associated with requirements analysis. Communicates with customers and users to elicit and gather client requirements. Participates in the preparation of detailed documentation and requirements. Utilizes specific organizational methods, tools and techniques for requirements analysis. What you will get: Work Life Harmony Earned and medical leave. Relocation assistance if appropriate Holistic Development Personal and professional development through Caterpillar ‘s employee resource groups across the globe Career developments opportunities with global prospects Health and Wellness Medical coverage -Medical, life and personal accident coverage Employee mental wellness assistance program Financial Wellness Employee investment plan Pay for performance -Annual incentive Bonus plan. Additional Information: Caterpillar is not currently hiring individuals for this position who now or in the future require sponsorship for employment visa status; however, as a global company, Caterpillar offers many job opportunities outside of the U.S. which can be found through our employment website at www.caterpillar.com/careers Caterpillar is an Equal Opportunity Employer (EEO) EEO/AA Employer. All qualified individuals, including minorities, females, veterans and individuals with disabilities - are encouraged to apply. Posting Dates: June 5, 2025 - June 18, 2025 Caterpillar is an Equal Opportunity Employer. Not ready to apply? Join our Talent Community.

Job Role: Data Scientist Experience: 5-8 years Location: Bangalore, India Employment Type: Full Time, Hybrid. About Cognizant Join a rapidly growing consulting and IT services Fortune 500 company with around 350,000 employees worldwide, a very flexible international business, customers that are leaders in their respective sectors, and a high level of commitment. Cognizant Advanced AI Lab / Neuro AI team The Cognizant AI Labs were created to pioneer scientific innovation and bridge the gap to commercial applications. The AI Labs collaborate with institutions, academia and technology partners to develop groundbreaking AI solutions responsibly. The Lab’s mission is to maximize human potential with decision AI, a combination of multi-agent architectures, generative AI, deep learning, evolutionary AI and trustworthy techniques to create sophisticated decision-making systems. Through scientific publications, open-source software, AI for Good projects and the Cognizant Neuro® AI decisioning platform and Multi-Agent Accelerator, the AI Labs support our goal of improving everyday life. Your role: As a data scientist and software engineer you will develop the Neuro AI platform and use it on a variety of projects related to optimizing data-driven decision making. You are a data scientist, Python developer and AI researcher with knowledge in multiple technologies; you are driven, curious and passionate about your work; you are innovative, creative and focused on excellence; and you want to be part of an ego-free work environment where we value honest, healthy interactions and collaboration. Key responsibilities: Design, implement and deploy software applications that analyze datasets, train predictive and prescriptive models, assess uncertainties and interactively present results to end users Monitor and analyze the performance of software applications and infrastructure Collaborate with cross-functional teams to identify and prioritize business requirements Research, design and implement novel AI systems to support decision-making processes Work with the research team to publish papers and patents Communicate research findings to both technical and non-technical audiences Provide guidance on our Neuro AI offering and AI best practices Work in a highly collaborative, fast-paced environment with your peers on the Neuro AI platform and research teams Your profile: PhD or Master’s in Data Science, Computer Science, Statistics, Mathematics, Engineering or related field 5-8 years of experience in artificial intelligence, machine learning, data science and software engineering Strong programming skills in Python with Pandas, Numpy, TensorFlow, PyTorch, Jupyter Notebook, GitHub Experience with handling large datasets, data engineering, statistical analysis, and building predictive models Experience developing AI software platforms and tools Knowledge of data visualization tools (e.g. Matplotlib, Tableau, …) Knowledge of Generative AI and LLMs is a plus Utilize cloud platforms for data processing and analytics, optimize cloud-based solutions for performance, cost, and scalability Strong problem-solving and analytical skills Strong attention to detail and ability to work independently Ability to leverage design thinking, business process optimization, and stakeholder management skills

Data Analyst (AI & ML Techniques for Large Data Sets) We are looking for a skilled Data Analyst with expertise in working with large data sets, leveraging AI (Artificial Intelligence) and ML (Machine Learning) techniques to extract insights, build predictive models, and deliver actionable business solutions. The ideal candidate will possess strong analytical skills, technical proficiency, and a passion for working with data to solve complex problems. Job Description (Primary Responsibilities) 1. Data Collection and Preparation: Collect, clean, and preprocess large volumes of structured and unstructured data from multiple sources. Develop and maintain data pipelines to ensure the accurate and efficient processing of data. Handle data inconsistencies, missing values, and outliers, ensuring high-quality, usable datasets for analysis. 2. Exploratory Data Analysis (EDA): Perform detailed exploratory data analysis (EDA) to understand data patterns, trends, and relationships. Visualize data using tools such as Tableau or Power BI to identify key insights and drive decision-making. 3. AI and Machine Learning Model Development: Apply AI and machine learning algorithms (e.g., classification, regression, clustering, deep learning) to build predictive and prescriptive models. Train, tune, and evaluate machine learning models to optimize their performance. Automate model deployment and update processes for continuous improvement in accuracy and efficiency. 4. Advanced Analytics: Use statistical methods and machine learning techniques to forecast trends, identify anomalies, and detect patterns in large data sets. Apply natural language processing (NLP) and computer vision techniques for text and image data analysis when needed. 5. Data Visualization and Reporting: Communicate findings clearly through visualizations and reports to stakeholders across the organization. Present complex data insights in an accessible and actionable format for both technical and non-technical audiences. 6. Collaboration and Communication: Work closely with cross-functional teams to understand business needs and objectives. Provide analytical support to business stakeholders by offering data-driven insights and recommendations. 7. Continuous Improvement: Stay updated on the latest trends in AI/ML technologies and data analytics. Continuously evaluate and implement new techniques to improve the quality and efficiency of analysis. Explore new ways to automate repetitive tasks and improve business operations through data-driven solutions. Desired Skills/Qualifications: Education: Engineer from tier 1 college(IITs/RECs/NSUT/DTU), Bachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. MBA or CFA a plus Experience: 2-5 years of experience in data analysis, data science, or machine learning roles, with hands-on experience in managing and analyzing large datasets. Skills: Proficiency in Python, R, or similar programming languages for data analysis and machine learning. Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikitlearn. Familiarity with AI techniques, including deep learning, reinforcement learning, and NLP. Strong knowledge of SQL for querying large data sets. Expertise in data visualization tools (e.g., Tableau, Power BI). Experience with big data platforms and tools (e.g., Hadoop, Spark) is a plus. Familiarity with cloud platforms (AWS, GCP, Azure) for data storage and processing. Soft Skills: Strong problem-solving and critical-thinking abilities. Excellent communication and presentation skills. Ability to work independently and as part of a team. Attention to detail and the ability to work with complex data sets. Preferred Qualifications: Experience with deploying machine learning models to production environments. Knowledge of advanced analytics techniques such as time series forecasting, anomaly detection, or reinforcement learning. Experience in a real estate industry is a plus. Amhersts core values: Culture & Conduct: Positive attitude with high integrity. Agile in adapting to a dynamic environment with emerging datapoints. We do the right thing the right way and are accountable for our actions. Client-Centricity & Business Acumen: Strong Team player, multiple internal/external stakeholders management, Communication & Connectivity: Strong written and verbal communication skills with clients and management. Collaboration We align, contribute, and win together. Execution & Delivery: Self-starter, Proactive, motivated, driven personality, Excellent organizational and time management skills. Agility We are nimble and responsive. Community We empower and support people to create a sense of belonging for all. Working Shift/ arrangement: US Shift (1:30 PM 10:30 PM IST), Flexible - Hybrid working model

Join Us as a Data Scientist! Are you ready to make a significant impact in an innovative environment? At ORBCOMM, we’re on the hunt for a passionate and talented Data Scientist who thrives in a fast-paced, agile setting. We want you to transform your ideas into action and drive our mission forward! Why You’ll Love Working Here As a key member of our Data Engineering team, you will have a strong background in data analysis, machine learning, and statistical modeling. You will work closely with cross-functional teams to extract meaningful insights from large Telematics and Supply Chain datasets and develop predictive models to support business decisions. With a flexible hybrid working schedule, you can enjoy the best of both worlds—engaging in-person collaboration at our Hyderabad, India office, while also enjoying the autonomy and comfort of remote work. What You’ll Do Design, develop, and maintain scalable data pipelines and ETL processes. Collaborate with data scientists and analysts to understand data requirements and deliver solutions. Implement data integration solutions to consolidate data from various sources. Optimize and maintain database systems for performance and reliability. Ensure data quality and integrity through rigorous testing and validation. Monitor and troubleshoot data pipeline issues and implement solutions. Stay updated with the latest industry trends and technologies in data engineering. Who You Are You’re a strategic thinker with a knack for operational excellence, ready to tackle multiple priorities with agility and grace. If you have: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. Proven experience as a Data Scientist or in a similar role. Proficiency in programming languages such as Python or R. Experience with machine learning frameworks and libraries (e.g., TensorFlow, Azure AI Studio). Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Experience with big data technologies (e.g., Azure AI, Hadoop, Spark). Knowledge of cloud platforms (e.g., AWS, Microsoft Fabric, Google Cloud). Familiarity with data visualization tools (e.g., Tableau, Power BI). Then we want to meet you! About Us At ORBCOMM, we’re pioneers in IoT technology, that drives innovation and empowers our clients to make data-driven decisions. Our industry-leading solutions enable customers to boost productivity, streamline operations and increase their bottom line. With over 30 years of experience and the most comprehensive solution portfolio in the industry, we enable the management of millions of assets worldwide across diverse sectors including transportation, heavy industries, satellite, and maritime. Discover how ORBCOMM is transforming industries and unlocking the potential of data to drive meaningful change by visiting us at www.orbcomm.com ! Ready to Join Us? We believe that our people are our greatest asset. Your skills and passion can help us achieve remarkable things! If you’re seeking a thrilling career opportunity in a vibrant, growth-oriented environment, ORBCOMM is the perfect fit for you. We are committed to building a diverse and inclusive workplace and appreciate all applicants for their interest in joining our team. Only candidates selected for an interview will be contacted. At ORBCOMM, we are also dedicated to ensuring accessibility and are pleased to offer accommodations for individuals with disabilities upon request throughout all aspects of the selection process. Show more Show less

We are hiring software engineers to assist a leading AI research lab with environment setup and dependency management for open-source Python projects. Your work will focus on configuring development environments, resolving dependency issues, and ensuring tests pass across various codebases. This is a remote, flexible role. Job requirements Expertise in Python, ideally at least 2 years of industry experience. Familiarity with setting up development environments. High attention to detail as well as exceptional written and verbal communication skills. (Strongly Preferred) Lots of activity on Github, in particular lots of commits over the past year. More details about the role This project is focused on reviewing Python push requests in Github. It may slightly evolve with time, but strong Python competency is required anyway. The project has a 2 week trial period up front to see if it’s a good mutual fit, and will extend beyond that based on performance. You will be expected to commit between 20-40 hours per week. The hours are fully flexible and the opportunity is remote. Role Logistics You’ll be paid weekly via Stripe Connect. You’ll be an independent contractor, working through Mercor. The advertised pay range is for US-based candidates, but we strive to keep rates competitive for all geographies. About Mercor Our team is based in San Francisco, CA. We specialize in recruiting experts for top AI labs. Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. Show more Show less

Description Gain a comprehensive understanding of the process and data flow. Acquire in-depth knowledge of the reports provided by GB Outsourcing. Create analytics and reports for insurers to enable strategic decision-making based on various facts, figures, and trends. Develop analytics for internal stakeholders and provide regular feedback. Work with the business to develop new products and evaluate their impact. Additionally, collaborate with stakeholders to understand their needs and provide data-driven insights to inform decision-making. Translate analytical insights into strategic recommendations and effectively communicate them to both technical and non-technical stakeholders. Adapt to a fast-changing environment, switching priorities as needed while producing high-quality and accurate reports. Innovate by proposing and implementing ideas for new reports and process simplification Qualifications Qualifications: Tech (coding) Graduate or Post-Graduate in Data Science Experience 2-3 years of experience in analytics profile with working knowledge to predictive analytics preferably Technical Competencies Experience in SQL, R, Python, with VBA optional Working knowledge on capabilities of Gen AI Background in Computer Science & Statistics preferred. Data Analysis and Interpretation Skills Impactful written and verbal communication Strong team player Business acumen Problem-solving, quantitative, and analytical skills Logical thinking Highly self-driven in managing your own portfolio and assigned responsibilities with accuracy. Technical competency to do complex work independently. Ability to prioritize tasks and meet project deadlines Show more Show less

AI Data Scientist Locations: Pune, India Buildings are getting smarter with connected technologies. With more connectivity, there is access to more data from sensors installed in buildings. Johnson Controls is leading the way in providing AI enabled enterprise solutions that contribute to optimized energy utilization, auto- generation of building insights and enable predictive maintenance for installed devices. Our Data Strategy & Intelligence team is looking for a Data Scientist to join our growing team. You will play a critical role in developing and deploying machine learning/Generative AI and time series analysis models in production. The Role To be successful in this role, the Data Scientist should have a deep knowledge of machine learning concepts, Large Language Models (LLM) including their training , optimization and deployment, time series models as well as experience in developing and deploying ML/Generative AI/ time series models in production. What you will do As An AI Data Scientist At Johnson Controls, You Will Help Develop And Maintain The AI Algorithms And Capabilities Within Our Digital Products. These Applications Will Use Data From Commercial Buildings, Apply Machine Learning, GenAI Or Other Advanced Algorithms To Provide Value In The Following Ways Optimize building energy consumption, occupancy, reduce CO2 emissions, enhance users’ comfort, etc. Generate actionable insights to improve building operations Translate data into direct recommendations for various stakeholders Your efforts will ensure that our AI solutions deliver robust and repeatable outcomes through well-designed algorithms and well-written software. To be successful in this role, the AI Data Scientist should be comfortable applying machine-learning concepts to practical applications while handling the inherent challenges of real-world datasets. How you will do it Contribute as a member of the AI team with assigned tasks Collaborate with product managers to design new AI capabilities Explore and analyze available datasets for potential applications Write Python code to develop ML/Generative AI/time series prediction solutions that address complex business requirements Research and implement state-of-the-art techniques in Generative AI solutions Pre-train and finetune ML over CPU/GPU clusters while optimizing for trade-offs Follow code-quality standards and best practices in software development Develop and maintain test cases to validate algorithm correctness Assess failures to identify causes and plan fixes for bugs Communicate key results to stakeholders Leverage JIRA to plan work and track issues What we look for Bachelor's / Master’s degree in Computer Science, Statistics, Mathematics, or related field. 5+ years of experience of developing and deploying ML Models with a proven record of delivering production ready ML models. Proficiency with Python and standard ML libraries, e.g., PyTorch, Tensorflow, Keras, NumPy, Pandas, scikit-learn, Matplotlib, Transformers. Strong understanding of ML algorithms and techniques, e.g., Regression, Classification, Clustering, Deep Learning, NLP / Transformer models, LLMs and Time Series prediction models. Experience in developing SOA LLM frameworks and models (Azure OpenAI, Meta Llama, etc), advanced prompt engineering techniques, LLMs fine-tuning/training. Experience in working with cloud (AWS / GCP / Azure) based ML/GenAI model development / deployment. Excellent verbal and written communication skills. Preferred Prior Domain experience in smart buildings and building operations optimization Experience in working with Microsoft Azure Cloud. Show more Show less

Must-Have: ML, Deep learning, NLP, (AWS or Azure or Google cloud), Python, Computer Vision. Minimum of 4+ years of relevant experience in implementing and deploying Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Hidden Markov Models, Conditional Random Fields, Topic Modeling, Game Theory, Mechanism Design, etc.)? Knowledge of LLM Models. Extensive experience in handling Time-series data. Experience in working on anomaly detection. Experience in handling structured and unstructured data. Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.) Experience in developing and debugging in one or more of the languages Python.

Drive data-derived insights across a wide range of retail divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives Direct the gathering of data, assess data validity and synthesize data into large analytics datasets to support project goals Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights Build and train statistical models and machine learning algorithms for replication for future projects Deploy and maintain the data science solutions Communicate recommendations to business partners and influence future plans based on insights What You Will Bring Consult with business stakeholders regarding algorithm-based recommendations and be a thought-leader to develop these into business actions. Play a key role to solve complex problems, pivotal to Walmarts business and drive actionable insights Utilize product mindset to build, scale and deploy holistic data science products after successful prototyping Demonstrate incremental solution approach with agile and flexible ability to overcome practical problems Lead and collaborate with the team to assess customer needs and translate the business problem into an analytical problem Articulate and present recommendations to business partners and influence plans based on insights Partner and engage with associates in other regions for delivering the best services to customers around the globe Work with the customer-centric mindset to deliver high-quality business-driven analytic solutions. Mentor junior data scientists and handle multiple projects at the same time. Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving Promote and support company policies, procedures, mission, values, and standards of ethics and integrity Qualifications Bachelors/Masters > 9 years OR Ph.D. in Comp Science/Statistics/Mathematics with > 5 years of relevant experience. Education qualifications should be Computer Science/Statistics/Mathematics or a related area. Ability to lead the data science projects end to end. Experience in leading data science initiatives in customer care and customer growth like Chatbot, Agent Auto Response, Search Engine Optimization, Marketing etc Experience in analyzing complex problems and translating them into analytical solutions. Experience in machine learning: Classification models, regression models, Data/Text Mining, Convex Optimization, Text Retrieval Algorithms Experience in statistical learning: Generalize linear model, Time Series, Dynamic/Causal Model, Statistical Learning Ability to utilize the data science solutions outcomes to drive the predictive and prescriptive analytics. Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data. Ability to scale and deploy the data science solutions Strong Experience with one or more of Python and R Experience in Working with GCP Experience in deep learning and worked in TensorFlow/Torch Experience with GPU/CUDA for computational efficiency Minimum Qualifications... Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years experience in an analytics related field. Option 3: 6 years experience in an analytics or related field.

Own End to end discovery, design, configuration, testing and deployment of analytical models and communication with internal and external stakeholders Identify relevant internal and external data sources Recommend and oversee appropriate statistical, ML and predictive modeling concepts Apply a variety of machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc) to their real-world problems Develop and/or optimize models for demand sensing/forecasting, optimization(Heuristic, LP, GA etc), Anomaly detection, Simulation and stochastic models, Market Intelligence etc Use latest advancements in AI/ML to solve business problems Examine problems by synthesizing complex information, evaluating alternate methods, and articulating the result with the relevant assumptions/reasons Application of common business metrics (Forecast Accuracy, Bias, MAPE) and the ability to generate new ones as needed Develop or optimize modules to call web services for real time integration with external systems Work collaboratively with Clients, Project Management, Solution Architects, Consultants and Data Engineers to ensure successful delivery of o9 projects What you'll have: Experience: 7+ Years Experience in time series forecasting in scale using heuristic-based hierarchical best-fit models using algorithms like exponential smoothing, ARIMA, prophet and custom parameter tuning Experience in applied analytical methods in the field of Supply chain and planning, like demand planning, supply planning, market intelligence, optimal assortments/pricing/inventory etc Education : Bachelors Degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related field Languages: Python and/or R for Data Science, SQL Skills : Deep Knowledge of statistical and machine learning algorithms, builng scalable ML frameworks, identifying and collecting relevant input data, feature engineering, tuning, and testing Characteristics: Strong presentation and communications skills we'really value team spirit: Transparency and frequent communication is key At o9, this is not limited by hierarchy, distance, or function What we'll do for you: Competitive salary Tech tools: Complementary PC laptop Flexibility: Work from home two days a week Get up a bit later, skip the commute and put the time back into your deadlines Get social: When we work from home, we play from home with fun after-work activities like Social Fridays If you're in the office, feel free to join these events in person Flat organization: With a very strong entrepreneurial culture (and no corporate politics) Support network: Work with a team you can learn from and every day Diversity: We pride ourselves on our international working environment

Job Role: Data Scientist Experience: 5-8 years Location: Bangalore, India Employment Type: Full Time, Hybrid. About Cognizant Join a rapidly growing consulting and IT services Fortune 500 company with around 350,000 employees worldwide, a very flexible international business, customers that are leaders in their respective sectors, and a high level of commitment. Cognizant Advanced AI Lab / Neuro AI team The Cognizant AI Labs were created to pioneer scientific innovation and bridge the gap to commercial applications. The AI Labs collaborate with institutions, academia and technology partners to develop groundbreaking AI solutions responsibly. The Lab’s mission is to maximize human potential with decision AI, a combination of multi-agent architectures, generative AI, deep learning, evolutionary AI and trustworthy techniques to create sophisticated decision-making systems. Through scientific publications, open-source software, AI for Good projects and the Cognizant Neuro® AI decisioning platform and Multi-Agent Accelerator, the AI Labs support our goal of improving everyday life. Your Role As a data scientist and software engineer you will develop the Neuro AI platform and use it on a variety of projects related to optimizing data-driven decision making. You are a data scientist, Python developer and AI researcher with knowledge in multiple technologies; you are driven, curious and passionate about your work; you are innovative, creative and focused on excellence; and you want to be part of an ego-free work environment where we value honest, healthy interactions and collaboration. Key Responsibilities Design, implement and deploy software applications that analyze datasets, train predictive and prescriptive models, assess uncertainties and interactively present results to end users Monitor and analyze the performance of software applications and infrastructure Collaborate with cross-functional teams to identify and prioritize business requirements Research, design and implement novel AI systems to support decision-making processes Work with the research team to publish papers and patents Communicate research findings to both technical and non-technical audiences Provide guidance on our Neuro AI offering and AI best practices Work in a highly collaborative, fast-paced environment with your peers on the Neuro AI platform and research teams Your Profile PhD or Master’s in Data Science, Computer Science, Statistics, Mathematics, Engineering or related field 5-8 years of experience in artificial intelligence, machine learning, data science and software engineering Strong programming skills in Python with Pandas, Numpy, TensorFlow, PyTorch, Jupyter Notebook, GitHub Experience with handling large datasets, data engineering, statistical analysis, and building predictive models Experience developing AI software platforms and tools Knowledge of data visualization tools (e.g. Matplotlib, Tableau, …) Knowledge of Generative AI and LLMs is a plus Utilize cloud platforms for data processing and analytics, optimize cloud-based solutions for performance, cost, and scalability Strong problem-solving and analytical skills Strong attention to detail and ability to work independently Ability to leverage design thinking, business process optimization, and stakeholder management skills Show more Show less

Data Scientist-URGENT HIRING-ONSITE Loc- Chennai, Pune, Bangalore, Noida, Gurgaon Exp-8+ years FULLTIME As a data scientist, you will be responsible for analyzing and interpreting complex data sets to identify patterns and insights. You will be developing data models and algorithms to support the project needs. Implement data validation strategies to ensure high data quality. Collaborate with AI/ML engineers to integrate data models into the conversion engine system. Present findings and recommendations to stakeholders and management. Not being afraid to fail fast is one of the essential tools an NL Data Scientist can have in the cutting-edge technology market. What you will do: • Develop AI-Driven Data Conversion Application : Utilize AI technologies to develop a comprehensive data conversion application. • Data Mapping : Implement AI algorithms for accurate data mapping from source to target. • Code Generation : Automate code generation using AI models. • Data Validation : Apply AI-driven validation techniques to ensure data integrity and quality. • Code Conversion : Facilitate seamless code conversion using AI algorithms. • Collaboration : Work with data engineers, software developers, AI solution engineers, and business analysts to integrate the data conversion application. • Monitor and Troubleshoot : Continuously monitor and troubleshoot the AI-driven application to ensure optimal functionality. • Documentation : Maintain detailed documentation of methodologies and processes used in the application development. • Stay Updated with Technologies : Keep up-to-date with the latest AI, data science, and data conversion technologies to enhance the application. What you will need to have: • Bachelor’s or Master’s Degree in Data Science, Computer Science, Artificial Intelligence, or a related field. • Proficiency in Programming Languages such as Python, SQL, and other relevant languages. • Experience with AI/ML Frameworks like TensorFlow, PyTorch, or similar. • Knowledge of Data Mapping Techniques : Experience with AI-driven tools and methodologies for data mapping.• Strong Code Generation Skills : Experience in developing AI models for automating code generation. • Experience with Data Validation : Implementing AI-based validation techniques. • Familiarity with Code Conversion : Understanding AI algorithms for code conversion. • Experience with Databases like SQL Server and MongoDB. • Collaboration Skills : Ability to work effectively with cross-functional teams. • Problem-Solving Skills : Strong ability to identify issues and develop creative solutions. • Attention to Detail : Ensure accuracy and reliability of data conversions. • 5+ Years of Relevant Experience in data science or a related field. • Willingness to Fail Fast and learn from mistakes in the fast-paced technology market. Preferred qualifications for consideration: • Experience in the Financial Services Industry and an understanding of compliance standards. • Certification in Data Science or AI/ML . • Experience with Master data management, Data Wrangling and ETL Processes . • Familiarity with DevOps Tools like Jira, Confluence, and BitBucket. • Experience with data and AI/ML Technologies : Such as NLP/NLU, Azure Cognitive Services, Azure Synapse Analytics, Azure data bricks and Azure ML service. • Previous Experience Delivering AI Solutions for complex data or conversions : Seamless Data Schema Conversion, AI-Driven Data Validation for Migration Accuracy, Intelligent Code Generation for Data Transformation Scripts , Historical Data Transformation and Archiving, Intelligent Error Detection and Correction, AI-Augmented Data Reconciliation Show more Show less

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 Clarivate’s 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. Location - Bengaluru At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.

Position overview: We are seeking a Data Scientist with a strong background in Machine Learning, Natural Language Processing (NLP), Generative AI, and Retrieval-Augmented Generation (RAG). The ideal candidate will possess 1+ years of hands-on experience in developing and deploying advanced data-driven solutions. You will play a key role in our AI-CoE team, contributing to cutting-edge projects that drive innovation and business value. A special focus area for this role would be to build AI enabled products that would result in the creation of monetizable product differentiators. Detailed job description & Key Responsibilities: Develop, Test, and Deploy machine learning models for various business and Telco use cases. Perform data preprocessing, feature engineering and ML/DL model evaluation. Optimize and fine-tune models for performance and scalability. Good understanding of NLP concepts and projects involving entity recognition, text classification, and language modelling like GPT/Llama/Claude/Grok Build and refine RAG models to improve information retrieval and answer generation systems. Integrate RAG methods into existing applications to enhance data accessibility and user experience. Work closely with cross-functional teams including software engineers, product managers, and domain experts. Communicate technical concepts to non-technical stakeholders effectively. Document processes, methodologies, and model development for internal and external stakeholders. Skills: Strong knowledge of probability and statistics. Working knowledge of machine learning and deep learning skills. Strong knowledge of programming knowledge Python, SQL and commonly used frameworks & tools PyTorch, Sci-kit, NumPy, Gen AI tools like langchain/llamaIndex Working knowledge of MLOPs principles and implementing projects with Big Data in batch and streaming mode. Excellent problem-solving skills and a proactive attitude. Strong communication and teamwork abilities. Ability to manage multiple projects and meet deadlines Interview will involve coding tests.

Position overview: We are seeking a Data Scientist with a strong background in Machine Learning, Natural Language Processing (NLP), Generative AI, and Retrieval-Augmented Generation (RAG). The ideal candidate will possess 1+ years of hands-on experience in developing and deploying advanced data-driven solutions. You will play a key role in our AI-CoE team, contributing to cutting-edge projects that drive innovation and business value. A special focus area for this role would be to build AI enabled products that would result in the creation of monetizable product differentiators. Detailed job description & Key Responsibilities: Develop, Test, and Deploy machine learning models for various business and Telco use cases. Perform data preprocessing, feature engineering and ML/DL model evaluation. Optimize and fine-tune models for performance and scalability. Good understanding of NLP concepts and projects involving entity recognition, text classification, and language modelling like GPT/Llama/Claude/Grok Build and refine RAG models to improve information retrieval and answer generation systems. Integrate RAG methods into existing applications to enhance data accessibility and user experience. Work closely with cross-functional teams including software engineers, product managers, and domain experts. Communicate technical concepts to non-technical stakeholders effectively. Document processes, methodologies, and model development for internal and external stakeholders. Skills: Strong knowledge of probability and statistics. Working knowledge of machine learning and deep learning skills. Strong knowledge of programming knowledge Python, SQL and commonly used frameworks & tools PyTorch, Sci-kit, NumPy, Gen AI tools like langchain/llamaIndex Working knowledge of MLOPs principles and implementing projects with Big Data in batch and streaming mode. Excellent problem-solving skills and a proactive attitude. Strong communication and teamwork abilities. Ability to manage multiple projects and meet deadlines Interview will involve coding tests.

AI/ML & GenAI Development • Proven experience in building and deploying AI/ML and Generative AI applications • Hands of experience with RAG and Agentic AI based applications • Solid understanding of deep learning and Natural Language Processing (NLP) • Strong experience with Large Language Models (LLMs) and frameworks (e.g., Langchain, LlamaIndex) • Expertise in machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar • Expertise in building enterprise-grade, secure data ingestion for structured/unstructured data, including indexing, search, and advanced retrieval --- Software Development & Cloud Platforms • Strong proficiency in Python programming language • Hands-on experience with cloud platforms such as Azure and Databricks (preferred) • Strong experience in building CI/CD pipeline templates for AI software development lifecycle (SDLC), including ML Ops, RAG pipelines, and data ingestion pipelines

Get to know the team GrabFin is an aggregate of FinTech businesses spread across 6 countries in S.E. Asia, in the Lending, Payments and Insurance domains. We are excited to provide innovative financial services to all participants of the Grab Ecosystem be it our Drivers, Consumers or Merchants. Our products are built on fundamental market insights combined with data science and engineering to bring the best product market fit across the cross section of our user base. This understanding of our ecosystem combined with world class engineering execution continues to create tremendous value for our customers. The data scientist will work in a relatively flat team structure with an independent goal of building and manage critical data science models daily. You can expect to solve hard technical problems and grow into an expert on both batch and real-time Data Science use cases. You will have experience with technology and data science. You will be reporting to Senior Manager, Data Science. This role is onsite based in Bangalore. Youll develop credit risk scoring models for consumer loans, including PD, LGD, and collection models. Youll work with alternative data sources to boost model signal and accuracy. Your role will involve full ownership of the end-to-end model lifecycle from building and validation to deployment and maintenance. Youll collaborate with business, risk, and operations teams to shape solutions and influence product strategy with your insights. This is an individual contributor role suited for professionals with 8+ years of experience. The Critical Tasks You Will Perform Build predictive models using a mix of machine learning and traditional analytics methods to segregate between Good vs Bad borrowers Build Machine learning & Deep learning models to estimate losses from of a given portfolio. Validate models on new datasets, based on in-market performance. Engineer predictive features from internal data assets to build refined customer profiles. Identify external data assets to bring into the model mix. Drive model governance by collaborating with risk policy, compliance, and audit teams to ensure adherence to regulatory expectations. Identify model gaps or performance drifts and lead model refresh cycles. Present findings to senior leadership with clear articulation of risk trade-offs and growth. Translate model insights into strategic recommendations (e.g., policy changes, pricing levers, customer targeting strategies). Solve previously unsolved analytics problems using best in class data analytics and machine learning methodologies. Read more Skills you need The Essential Skills You Need 8+ years of experience. Strong understanding of credit business - lifecycle of a loan, collections process, and credit KPIs like NPL, ECL. Expert in building machine learning and predictive models in Python and Spark is an absolute must. SQL, Presto, Hive proficiency. Sound knowledge of machine learning concepts. Illustrative machine learning concepts/methods are: Bagging, Boosting, Regularisation, Online Learning, Recommendation Engines Experience with LLMs, and Generative AI Experience with model deployment pipelines - using MLFlow, Airflow, or other MLOps tools. Demonstrated experience building machine learning models Understand the trade-offs between model performance and our needs. Strong problem-solving mindset is critical for success in this role.

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What You’ll Do Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality . Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies that impact our analytical platform. What You’ll Bring A master’s degree in computer science , Statistics, or a relevant field ; A r obust academic performance history with coursework emphasizing analysis and quantitative skills . A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc. ) . A proficiency in at least one programming language (e.g., Java/Python/R ). Experience with tools/platforms such as the Hadoop eco system , Amazon Web Services or database systems. Fluency in English. Perks & Benefits ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At www.zs.com

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What You’ll Do Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality . Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies that impact our analytical platform. What You’ll Bring A master’s degree in computer science , Statistics, or a relevant field ; A r obust academic performance history with coursework emphasizing analysis and quantitative skills . A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc A proficiency in at least one programming language (e.g., Java/Python/R ). Experience with tools/platforms such as the Hadoop eco system , Amazon Web Services or database systems. Fluency in English. Perks & Benefits ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At www.zs.com

Data Scientist Experience: 3-18yrs Skills: Data Science, Machine Learning, Python, SQL Location: Chennai Contact: Triveni/7397076469/itrecruiter.istarbs@gmail.com

About the Role: Grade Level (for internal use): 11 The Team As a member of the Data Transformation team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead development of 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 encouraged for thoughtful risk-taking and self-initiative. The Impact The Data Transformation team has already delivered breakthrough products and significant business value over the last 3 years. In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems. What’s in it for you Be a part of a global company and build solutions at enterprise scale Collaborate with a highly skilled and technically strong team Contribute to solving high complexity, high impact problems Key Responsibilities Design, Develop and Deploy ML powered products and pipelines Play a central role in all stages of the data science project life cycle, including: Identification of suitable data science project opportunities Partnering with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements Evaluation/interpretation of results and presentation to business leaders Performing exploratory data analysis, proof-of-concept modelling, model benchmarking and setup model validation experiments Training large models both for experimentation and production Develop production ready pipelines for enterprise scale projects Perform code reviews & optimization for your projects and team Spearhead deployment and model scaling strategies Stakeholder management and representing the team in front of our leadership Leading and mentoring by example including project scrums What We’re Looking For 7+ years of professional experience in Data Science domain Expertise in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.) Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures Expertise in probabilistic machine learning model for classification, regression & clustering Strong experience in feature engineering, data preprocessing, and building machine learning models for large datasets. Exposure to Information Retrieval, Web scraping and Data Extraction at scale OOP Design patterns, Test-Driven Development and Enterprise System design SQL (any variant, bonus if this is a big data variant) Linux OS (e.g. bash toolset and other utilities) Version control system experience with Git, GitHub, or Azure DevOps. Problem-solving and debugging skills Software craftsmanship, adherence to Agile principles and taking pride in writing good code Techniques to communicate change to non-technical people Nice to have Prior work to show on Github, Kaggle, StackOverflow etc. Cloud expertise (AWS and GCP preferably) Expertise in deploying machine learning models in cloud environments Familiarity in working with LLMs What’s In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the 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: Were more than 35,000 strong worldwide—so were able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the worlds 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 can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Flexible DowntimeGenerous time off helps keep you energized for your time on. 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 PerksIt’s 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 awards—small 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 and engaged 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 toEEO.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 Team As a member of the Data Transformation team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead development of 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 encouraged for thoughtful risk-taking and self-initiative. The Impact The Data Transformation team has already delivered breakthrough products and significant business value over the last 3 years. In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems. What’s in it for you Be a part of a global company and build solutions at enterprise scale Collaborate with a highly skilled and technically strong team Contribute to solving high complexity, high impact problems Key Responsibilities Design, Develop and Deploy ML powered products and pipelines Play a central role in all stages of the data science project life cycle, including: Identification of suitable data science project opportunities Partnering with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements Evaluation/interpretation of results and presentation to business leaders Performing exploratory data analysis, proof-of-concept modelling, model benchmarking and setup model validation experiments Training large models both for experimentation and production Develop production ready pipelines for enterprise scale projects Perform code reviews & optimization for your projects and team Spearhead deployment and model scaling strategies Stakeholder management and representing the team in front of our leadership Leading and mentoring by example including project scrums What We’re Looking For 3+ years of professional experience in Data Science domain Expertise in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.) Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures Expertise in probabilistic machine learning model for classification, regression & clustering Strong experience in feature engineering, data preprocessing, and building machine learning models for large datasets. Exposure to Information Retrieval, Web scraping and Data Extraction at scale OOP Design patterns, Test-Driven Development and Enterprise System design SQL (any variant, bonus if this is a big data variant) Linux OS (e.g. bash toolset and other utilities) Version control system experience with Git, GitHub, or Azure DevOps. Problem-solving and debugging skills Software craftsmanship, adherence to Agile principles and taking pride in writing good code Techniques to communicate change to non-technical people Nice to have Prior work to show on Github, Kaggle, StackOverflow etc. Cloud expertise (AWS and GCP preferably) Expertise in deploying machine learning models in cloud environments Familiarity in working with LLMs What’s In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the 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: Were more than 35,000 strong worldwide—so were able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the worlds 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 can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Flexible DowntimeGenerous time off helps keep you energized for your time on. 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 PerksIt’s 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 awards—small 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 and engaged 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 toEEO.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), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)