1397 Data Scientist Jobs - Page 12

Designation - Sr. Consultant Experience in any two of the following programming languages: Python, Java, R, or .Net Proficiency in at least one database technology such as SQL, MongoDB, etc. Hands-on experience with AI stacks, including: PyTorch, TensorFlow, NVIDIA NeMo/NIM, Unsloth Agentic AI frameworks like LangGraph, MS AI Foundry Hugging Face, ChromaDB, FAISS, etc. Experience with MLOps and AI deployment infrastructure Proficiency in cloud platforms such as AWS, Azure, or Google Cloud Knowledge of responsible AI practices, including bias mitigation and ethical AI usage

Job: Project Scientist III (Data Analyst) Apply here Project title : NDMC Phase II: Developing Models to Estimate and Project Disease Burden to Inform Control and/or Elimination Strategies for Priority Diseases in India About the project: IIT Bombay is the anchor organization of the National Disease Modelling Consortium (NDMC). The consortium partners with various institutions in the country for disease modelling work. The objective of the project is to address policy and programmatic questions through India-specific disease models, to improve disease control and intervention strategies in the country. More information about the consortium can be found at www.ndmconsortium.com Essential Qualifications & Experience: PhD in data sciences with minimum 2 years relevant experience / MSc data sciences with 5 years experience OR PhD in Computer Engineering or any other engineering / MTech Data science, Computer science, Statistics or related field with minimum 3 years relevant experience/ BTech/BE/BDes or equivalent engineering degree with minimum 5 years of experience Desirable experience At least 8-10 years of experience in data science, with a proven track record in managing and supervising data science teams. Strong proficiency in R and Python for data analysis and modeling, along with extensive SQL skills for database management. Comprehensive understanding of Azure/cloud-based server and database development, with demonstrated experience in implementing cloud solutions Exceptional analytical abilities and familiarity with statistical techniques relevant to data interpretation. Experience with data visualization tools, such as Tableau and Power BI. Strong leadership, critical thinking, and problem-solving skills, with the ability to work collaboratively across teams. Job Profile: Lead and mentor a team of data scientists, facilitating collaboration, knowledge sharing, and professional growth to achieve project goals. Oversee the design and implementation of efficient database schemas and structures, ensuring optimal performance and scalability while maintaining data integrity and security. Guide the development, maintenance, and optimization of databases that support data storage and retrieval processes, including executing complex SQL queries for data manipulation. Drive the development of advanced data analysis and modeling, utilizing programming languages such as R and Python. Manage ETL (Extract, Transform, Load) processes to ensure data is prepared for analysis and reporting efficiently. Hands on experience working with data systems and platforms such as Azure Data Factory, Azure Storage, Data Lake, Azure Synapse, Databricks or similar Solid understanding of Cloud based data management, data analytics principles and tools Promote the use of data visualization tools (such as Tableau and Power BI) to communicate effectively and enhance understanding across the organization. Clearly communicate complex methodologies, findings, and analytical results to multidisciplinary teams and external partners. Contribute to the preparation of comprehensive research reports and presentations. Pay Details: Consolidated salary 78,000+HRA (if applicable) p.m. Show more Show less

Position Title: Data Scientist Location: Gurugram Experience: 3–4 Years Job Type: Full-Time Company: Sequifi | www.sequifi.com About the Role We are hiring a Data Scientist with 3–4 years of experience who has a strong foundation in data analysis, machine learning, and business problem-solving. This role is ideal for someone who is hands-on with modern tools and techniques, eager to explore new technologies, and enjoys working in a collaborative, fast-paced environment. Key Responsibilities Analyze complex datasets to uncover patterns, trends, and actionable insights. Build, validate, and deploy machine learning models for predictive analytics, classification, and clustering. Design and maintain efficient data pipelines and ETL processes. Create clear, interactive dashboards and reports using tools such as Power BI, Tableau, or Python visualization libraries. Collaborate with product managers, developers, and business analysts to understand requirements and deliver data-driven solutions. Conduct A/B testing and statistical analysis to support product decisions and optimizations. Continuously improve model performance based on feedback and business objectives. Required Qualifications Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field. 3–4 years of experience in data science or a similar role. Strong programming skills in Python (Pandas, NumPy, Scikit-learn), SQL, and familiarity with PHP or Node.js. Hands-on experience with data visualization tools such as Power BI or Tableau. Good understanding of machine learning algorithms, data preprocessing, and feature engineering. Experience working with structured and unstructured data, including NoSQL databases like MongoDB. Familiarity with cloud platforms such as AWS, GCP, or Azure is a plus. Soft Skills Strong analytical and problem-solving abilities. Effective communication and data storytelling skills. Ability to work independently as well as collaboratively in cross-functional teams. A mindset geared toward innovation, learning, and adaptability. Why Join Us Work on meaningful and challenging problems in a tech-focused environment. Join a young, supportive, and fast-moving team. Gain exposure to a combination of data science, product, and engineering. Opportunity to learn and grow continuously in a culture of innovation. If you’re passionate about using data to drive business impact, we’d love to hear from you. Apply now and grow with us at Sequifi. Show more Show less

Job Responsibilities: Development of AI/ML models and workflow to apply advanced algorithms and machine learning Enable team to run an automated design engine Creates design standards and assurance processes for easily deployable and scalable models. Ensure successful developments: Be a technical leader through strong example and training of more junior engineers, documenting all relevant product and design information to educate others on novel design techniques and provide guidance on product usage CI/CD Pipeline (Azure Devops/Git) integration as Code repository. Minimum Qualifications (Experience And Skills) 5+ years of Data science experience A strong software engineering background with emphasis on C/C++ or Python 1+ years of experience in AWS Sagemaker Services Exposure to AWS lambda ,API Gateway, AWs Amplify & AWS Serverless , AWS Cognotio, AWS Security Experience in debugging complex issues with a focus on object-oriented software design and development Experience with optimization techniques and algorithms Experience developing artificial neural networks and deep neural networks Previous experience working in an Agile environment, and collaborating with multi-disciplinary teams Ability to communicate and document design work with clarity and completeness Previous experience working on machine learning projects. Team player with a strong sense of urgency to meet product requirements with punctuality and professionalism Preferred Qualifications Programming Experience in Perl / Python / R / Matlab / Shell scripting Knowledge of neural networks, with hands-on experience using ML frameworks such as TensorFlow or PyTorch Knowledge of Convolutional Neural Networks (CNNs), RNN/LSTMs Knowledge of data management fundamentals and data storage principles Knowledge of distributed systems as it pertains to data storage and computing Knowledge of reinforcement learning techniques Knowledge of evolutionary algorithms AWS Certification Show more Show less

Opportunity with TCS |AI Research / Data Scientist (Masters)| Greetings from TCS!! TCS is Hiring for AI Research / Data Scientist (Masters) Interview Mode: Virtual Required Experience: 8-20 years Work location: PAN India Must have: Master's degree in computer science/ data science/Statistics Excellent knowledge AI/ML including algorithm development In-depth knowledge in Data (collection, preparation, analysis, visualization) Hands-on experience in Python based development ML/Deep Learning/ Operations Research (NLP/ Computer Vision) Strong written and verbal communication skills. Ability to explain complex technical concepts to non-technical audiences. Detail-oriented with a strong focus on quality and accuracy. If interested kindly send your updated CV and below mentioned details through DM/E-mail: srishti.g2@tcs.com Name: E-mail ID: Contact Number: Highest qualification: Preferred Location: Highest qualification university: Current organization: Total, years of experience: Relevant years of experience: Any gap: Mention-No: of months/years (career/ education): If any then reason for gap: Is it rebegin: Previous organization name: Current CTC: Expected CTC: Notice Period: Have you worked with TCS before (Permanent / Contract ) : Show more Show less

About us We are a global technology company, driving energy innovation for a balanced planet.​ Together, we create amazing technology that unlocks access to energy for the benefit of all.​ Our inclusive culture is the key to our success. We collaborate with our internal community of colleagues, alumni, and our valued external partners to support each other and achieve our goals. We aim to raise the bar high. We look for people who are committed to innovation and success and act with integrity to become and be a part of one of the most diverse group of experts in our industry, anywhere around the globe. Global in outlook, local in practice – and with a united, shared passion for discovering solutions, we hire talented, driven people and support them to succeed, personally and professionally. About SLB Technical Services India (STS-I): SLB is committed to moving farther and faster in facilitating the world's energy needs today and forging the road ahead for the energy transition. STSI’s determination to transformation is the start of a journey towards a culture of continuous performance improvement. Over the years STSI has also developed key expertise and support roles in higher scale work both in business vertical (within a PG) and horizontal (across PGs). To position itself as a critical support center for EMS capable of strong value addition while also being recognized as having their own excellence in key services, STSI has identified the need to attain a recognition as a Center of Excellence (CoE). For more details you may visit our Company’s Official site: www.slb.com Job Description: · The core responsibility of a TLM Data Scientist is to develop Python algorithms for determining the health state of machinery equipment to improve their operational reliability and efficiency. · The candidate will collaborate closely with engineer SMEs to understand equipment physics and develop sustainable, industrial-grade AI/analytics solutions. · The role involves analyzing large time-series data from sensor measurements combined with other operational data in cloud as well as in local system. · There will be a strong emphasis on applying engineering domain knowledge in developing algorithms and extracting features out of raw data to build diagnostic and prognostic models. Skills Required: Coding Skills: Extensive experience in Python algorithm programming or data science (not in app development like Flask,Pyramid or Django). Proficient in using Python libraries like Pandas, Numpy, Scikit-learn, Matplotlib, and Bokeh Experience with Git basics Basic SQL queries Fundamental Technical Skills: 1. Understanding of elementary physics and mathematics (e.g. acceleration, force, vector arithmetic) 2. Understanding of fundamental probability and statistics (distributions, standard dev, percentiles, histograms, sampling) Qualifications and Experience: Experience Range: - 3-5 Years. A Bachelor degree in any science or engineering major with courses in physics, mathematics and numerical programming. A minimum GPA of 3.5/4.0 scale A Master of Science degree in data science, analytics, or engineering with a thesis or research projects involving hands-on algorithm development, statistical analysis, and machine learning using Python. SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law. Show more Show less

Role : Data Scientist Experience: 610 Years Salary : 35 L Upto Location : Bangalore Notice Period: 30 Days max ( Immediate Joiners Preferred ) Note : We are Open for both Contract or FTE Job Description: We are seeking a Data Scientist with strong experience in natural language processing and generative AI to build intelligent systems that extract information from PDFs, power chatbots, and implement retrieval-augmented generation (RAG) solutions. The ideal candidate should have a solid foundation in machine learning, experience working with unstructured text data. Key Responsibilities: Design and implement pipelines for extracting structured data from PDF documents using tools like PyMuPDF, PDFPlumber, or OCR libraries. Develop and fine-tune RAG pipelines combining vector databases (e.g., FAISS, Chroma) with LLMs for document-based question answering. Build and optimize conversational agents (chatbots) that use domain-specific data and generative AI models. Train and evaluate machine learning and NLP models for classification, entity extraction, summarization, etc. Collaborate with engineering and product teams to integrate AI capabilities into production systems. Monitor model performance and continually improve accuracy and relevance of generated responses. Requirements: Strong Python skills and experience with libraries like Hugging Face Transformers, LangChain, or LlamaIndex. Strong knowledge of ABC cloud tools (AWS or Azure) Familiarity with vector databases and embedding models (OpenAI, Cohere, SentenceTransformers). Experience with PDF data extraction techniques and tools. Solid understanding of supervised/unsupervised ML, deep learning, and NLP techniques. Experience working with LLMs and knowledge of prompt engineering and fine-tuning. Bachelors or Masters degree in Computer Science, Data Science, or a related field.

Job Overview We are looking for a dynamic and innovative Full Stack Data Scientist with 2+ years of experience who excels in end-to-end data science solutions. The ideal candidate is a tech-savvy professional passionate about leveraging data to solve complex problems, develop predictive models, and drive business impact in the MarTech domain. Key Responsibilities 1. Data Engineering & Preprocessing Collect, clean, and preprocess structured and unstructured data from various sources. Perform advanced feature engineering, outlier detection, and data transformation. Collaborate with data engineers to ensure seamless data pipeline development. 2. Machine Learning Model Development Design, train, and validate machine learning models (supervised, unsupervised, deep learning). Optimize models for business KPIs such as accuracy, recall, and precision. Innovate with advanced algorithms tailored to marketing technologies. 3. Full Stack Development Build production-grade APIs for model deployment using frameworks like Flask, FastAPI, or Django. Develop scalable and modular code for data processing and ML integration. 4. Deployment & Operationalization Deploy models on cloud platforms (AWS, Azure, or GCP) using tools like Docker and Kubernetes. Implement continuous monitoring, logging, and retraining strategies for deployed models. 5. Insight Visualization & Communication Create visually compelling dashboards and reports using Tableau, Power BI, or similar tools. Present insights and actionable recommendations to stakeholders effectively. 6. Collaboration & Teamwork Work closely with marketing analysts, product managers, and engineering teams to solve business challenges. Foster a collaborative environment that encourages innovation and shared learning. 7. Continuous Learning & Innovation Stay updated on the latest trends in AI/ML, especially in marketing automation and analytics. Identify new opportunities for leveraging data science in MarTech solutions. Qualifications Educational Background Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Technical Skills Programming Languages: Python (must-have), R, or Julia; familiarity with Java or C++ is a plus. ML Frameworks: TensorFlow, PyTorch, Scikit-learn, or XGBoost. Big Data Tools: Spark, Hadoop, or Kafka. Cloud Platforms: AWS, Azure, or GCP for model deployment and data pipelines. Databases: Expertise in SQL and NoSQL (e.g., MongoDB, Cassandra). Visualization: Mastery of Tableau, Power BI, Plotly, or D3.js. Version Control: Proficiency with Git for collaborative coding. Experience 2+ years of hands-on experience in data science, machine learning, and software engineering. Proven expertise in deploying machine learning models in production environments. Experience in handling large datasets and implementing big data technologies. Soft Skills Strong problem-solving and analytical thinking. Excellent communication and storytelling skills for technical and non-technical audiences. Ability to work collaboratively in diverse and cross-functional teams. Preferred Qualifications Experience with Natural Language Processing (NLP) and Computer Vision (CV). Familiarity with CI/CD pipelines and DevOps for ML workflows. Exposure to Agile project management methodologies. Why Join Us? Opportunity to work on innovative projects with cutting-edge technologies. Collaborative and inclusive work environment that values creativity and growth. If you're passionate about turning data into actionable insights and driving impactful business decisions, we’d love to hear from you! Job Types: Full-time, Permanent Pay: ₹1,000,000.00 - ₹1,200,000.00 per year Benefits: Flexible schedule Health insurance Life insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Fixed shift Monday to Friday Experience: Data science: 2 years (Required) Location: Gurugram, Haryana (Preferred) Work Location: In person

Job Summary: We are seeking an experienced and highly motivated Senior Data Scientist with a strong background in Generative AI , agentic systems , and end-to-end deployment of AI solutions. This role demands proficiency not only in building intelligent systems but also in operationalizing them using MLOps best practices and cloud-based deployment strategies. The ideal candidate will thrive at the intersection of data science, software engineering, and infrastructure. Key Responsibilities: Design, develop, and deploy advanced AI-powered chatbots and agent-based solutions using frameworks like LangChain and LangGraph . Build and maintain backend APIs and user-facing interfaces using FastAPI and Streamlit . Leverage Snowflake for data integration, transformation, and analytics. Implement and manage MLOps pipelines for model training, validation, versioning, and monitoring. Deploy models and applications on AWS and GCP , ensuring scalability, reliability, and security. Use Redis for caching and real-time data access in production-grade applications. Collaborate with cross-functional teams to translate business needs into technical solutions. Prepare and deliver effective presentations to stakeholders and leadership teams. Ensure code quality, testing, and documentation in Python environments. Required Skills: 5–8 years of hands-on experience in Data Science , with a focus on deployment. Proven experience in Chatbot development , Agentic AI , and LLM-based frameworks . Strong Python programming skills, including use of PyTorch , LangChain , and LangGraph . Proficient in MLOps practices : CI/CD for ML, model monitoring, version control, and automated retraining. Experience deploying solutions on cloud platforms (AWS, GCP). Backend and app development experience with FastAPI , Streamlit , and Redis . Strong working knowledge of Snowflake and data engineering workflows. Excellent communication and presentation skills , with the ability to convey technical topics to non-technical audiences. Experience with containerization tools like Docker and orchestration with Kubernetes . Exposure to prompt engineering and LLM fine-tuning. Nice to Have: Familiarity with tools like MLflow , DVC , Vertex AI . Experience working in agile product teams or startup environments. Show more Show less

Role Title: Data Scientist Location: India Worker Type: Full-Time Employee (FTE) Years of Experience: 8+ years Start Date: Within 2 weeks Engagement Type: Full-time Salary Range: Flexible Remote/Onsite: Hybrid (India-based candidates) Job Overview: We are looking for an experienced Data Scientist to join our team and contribute to developing AIdriven data conversion tools. You will work closely with engineers and business stakeholders to build intelligent systems for data mapping, validation, and transformation. Required Skills and Experience: • Bachelor’s or Master’s in Data Science, Computer Science, AI, or a related field • Strong programming skills in Python and SQL • Experience with ML frameworks like TensorFlow or PyTorch • Solid understanding of AI-based data mapping, code generation, and validation • Familiarity with databases like SQL Server and MongoDB • Excellent collaboration, problem-solving, and communication skills • At least 8 years of relevant experience in Data Science • Open mindset with a willingness to experiment and learn from failures Preferred Qualifications: • Experience in the financial services domain • Certifications in Data Science or AI/ML • Background in data wrangling, ETL, or master data management • Exposure to DevOps tools like Jira, Confluence, BitBucket • Knowledge of cloud and AI/ML tools like Azure Synapse, Azure ML, Cognitive Services, and Databricks • Prior experience delivering AI solutions for data conversion or transformation Show more Show less

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 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. 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. Show more Show less

Designation : Data Scientist Experience : 3-8 Years Location : Chennai Job Description We are seeking a skilled Data Scientist to join our team. In this role, you will leverage advanced analytics and machine learning techniques to extract actionable insights from complex datasets, driving data-informed decision-making across the organization. Key Responsibilities Data Collection & Preprocessing : Gather, clean, and preprocess structured and unstructured data from various sources to ensure high-quality datasets for analysis. Model Development : Design, develop, and deploy predictive models and machine learning algorithms to address business challenges. Data Analysis : Conduct exploratory data analysis to identify trends, patterns, and anomalies, providing insights to inform strategic decisions. Visualization & Reporting : Create compelling data visualizations and reports to effectively communicate findings to both technical and non-technical stakeholders. Collaboration : Work closely with cross-functional teams, including engineering and product development, to integrate data-driven solutions into business processes. Required Skills & Qualifications Technical Proficiency : Strong programming skills in Python or R; experience with SQL for data querying. Machine Learning Expertise : Solid understanding of machine learning algorithms and frameworks; experience with libraries such as scikit-learn, TensorFlow, or PyTorch. Statistical Analysis : Strong foundation in statistics and data analysis techniques. Data Visualization : Proficiency in tools like Tableau, Power BI, or Matplotlib for creating insightful visualizations. Preferred Qualifications Big Data Technologies : Familiarity with big data platforms like Hadoop or Spark. Cloud Platforms : Experience with cloud services such as AWS, Azure, or Google Cloud. Business Acumen : Ability to translate complex data findings into actionable business strategies. (ref:hirist.tech) Show more Show less

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 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. 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.

Job Requirements Why work for us? Alkegen brings together two of the world’s leading specialty materials companies to create one new, innovation-driven leader focused on battery technologies, filtration media, and specialty insulation and sealing materials. Through global reach and breakthrough inventions, we are delivering products that enable the world to breathe easier, live greener, and go further than ever before. With over 60 manufacturing facilities with a global workforce of over 9,000 of the industry’s most experienced talent, including insulation and filtration experts, Alkegen is uniquely positioned to help customers impact the environment in meaningful ways. Alkegen offers a range of dynamic career opportunities with a global reach. From production operators to engineers, technicians to specialists, sales to leadership, we are always looking for top talent ready to bring their best. Come grow with us! Job Responsibilities: Strategic IT Advisory Provide expert advice to executive leadership and IT management on IT infrastructure, applications, data, and process management, ensuring that technology initiatives align with the organization’s strategic objectives. Formulate, contribute, and execute strategic and practical IT plans, with a focus on improving sustainability, scalability, and efficiency of IT operations. Act as a trusted advisor, ensuring IT projects and investments are aligned with long-term business goals. Enterprise IT Program Leadership Lead and initiate enterprise-wide IT projects and programs, ensuring alignment with business strategies and technology roadmaps. Coordinate cross-functional teams to ensure successful planning, execution, and completion of major IT initiatives. Monitor project performance, managing risks and ensuring that program goals and objectives are met within time and budget constraints. Change Management Devise and implement change management strategies that support the adoption of new technologies and processes across the organization. Identify and address barriers to change, working with business and technology leaders to drive the successful implementation of new systems and processes. Engage stakeholders to ensure buy-in and support for IT transformations and technology-driven changes. Technology Selection & Implementation Assess, select, and recommend suitable technology solutions that meet the organization's evolving needs. Lead the evaluation and implementation of new technologies, ensuring that they integrate seamlessly with existing systems and deliver tangible business benefits. Work with IT teams and external vendors to ensure successful deployment and adoption of new technologies. Policy Development & Integration Assist in the development and integration of IT policies, procedures, and standards, ensuring they are aligned with best practices and regulatory requirements. Ensure that policies reflect the organization’s commitment to information security, data protection, and IT governance. Regularly review and update IT policies to keep pace with changing technology trends and business requirements. Data & Process Management Provide guidance on optimizing data management, including data storage, access, security, and analytics to support organizational decision-making. Analyze existing business processes and recommend improvements using IT solutions to enhance efficiency, reduce costs, and support business growth. Support data governance efforts, ensuring that data integrity and compliance requirements are met. Education Bachelor’s degree in Information Technology, Computer Science, or a related field (Master’s degree preferred). 7+ years of experience in IT consulting, with a strong background in infrastructure, applications, and data management. Proven experience advising executive-level management and leading enterprise IT programs. Strong understanding of principles and demonstrated success in driving technology-driven transformations. Proficiency in evaluating and implementing technology solutions, with a focus on scalability, sustainability, and integration with existing systems. At Alkegen, we strive every day to help people – ALL PEOPLE – breathe easier, live greener and go further than ever before. We believe that diversity and inclusion is central to this mission and to our impact. Our diverse and inclusive culture drives our growth & innovation and we nurture it by actively embracing our differences and using our varied perspectives to solve the complex challenges facing our changing and diverse world. Employment selection and related decisions are made without regard to sex, race, ethnicity, nation of origin, religion, color, gender identity and expression, age, disability, education, opinions, culture, languages spoken, veteran’s status, or any other protected class. Show more Show less

The Data Scientist organization within the Data and Analytics division is responsible for designing and implementing a unified data strategy that enables the efficient, secure, and governed use of data across the organization. We aim to create a trusted and customer-centric data ecosystem, built on a foundation of data quality, security, and openness, and guided by the Thomson Reuters Trust Principles. Our team is dedicated to developing innovative data solutions that drive business value while upholding the highest standards of data management and ethics. About the role: Work with low to minimum supervision to solve business problems using data and analytics. Work in multiple business domain areas including Customer Experience and Service, Operations, Finance, Sales and Marketing. Work with various business stakeholders, to understand and document requirements. Design an analytical framework to provide insights into a business problem. Explore and visualize multiple data sets to understand data available for problem solving. Build end to end data pipelines to handle and process data at scale. Build machine learning models and/or statistical solutions. Build predictive models. Use Natural Language Processing to extract insight from text. Design database models (if a data mart or operational data store is required to aggregate data for modeling). Design visualizations and build dashboards in Tableau and/or PowerBI Extract business insights from the data and models. Present results to stakeholders (and tell stories using data) using power point and/or dashboards. Work collaboratively with other team members. About you: Overall 3+ years' experience in technology roles. Must have a minimum of 1 years of experience working in the data science domain. Has used frameworks/libraries such as Scikit-learn, PyTorch, Keras, NLTK. Highly proficient in Python. Highly proficient in SQL. Experience with Tableau and/or PowerBI. Has worked with Amazon Web Services and Sagemaker. Ability to build data pipelines for data movement using tools such as Alteryx, GLUE, Informatica. Proficient in machine learning, statistical modelling, and data science techniques. Experience with one or more of the following types of business analytics applications: Predictive analytics for customer retention, cross sales and new customer acquisition. Pricing optimization models. Segmentation. Recommendation engines. Experience in one or more of the following business domains Customer Experience and Service. Finance. Operations. Good presentation skills and the ability to tell stories using data and PowerPoint/Dashboard Visualizations. Excellent organizational, analytical and problem-solving skills. Ability to communicate complex results in a simple and concise manner at all levels within the organization. Ability to excel in a fast-paced, startup-like environment. #LI-SS5 What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

Exp with Spark, Flask, SQL, Python, Cloud platform, Machine Learning, Deep Learning & Engineering aspects of ML model deployment, data analysis, mathematics/probability, & statistical analysis. Mail us- info@a1selectors.com

Seeking a Principal Data Engineer with the following skills, an excellent opportunity for top-tier coding experts . Experience with building and maintaining a Lakehouse architecture . Advanced expertise in Python and SQL. Expert in leveraging cloud-based data platform ( Snowflake , Databricks ) capabilities to create an enterprise lake house. Advanced expertise with AWS ecosystem Experience using spark for data ingestion/ processing Key Responsibilities Design, develop and maintain scalable data pipelines and architectures to support data ingestion, integration and analytics. Be accountable for technical delivery and take ownership of solutions. Lead a team of senior and junior developers providing mentorship and guidance. Collaborate with enterprise architects, business analysts and stakeholders to understand data requirements, validate designs and communicate progress. Drive technical innovation within the department to increase code reusability, code quality and developer productivity. Challenge the status quo by bringing the very latest data engineering practices and techniques

Data Scientist with 5+ years of relevant experience in: Python, SQL, NLP, LLM, GenAI, H2O

Greetings from Futurea4! We are looking for a passionate and experienced Senior Data Scientist to drive innovation in the world of Gen AI, NLP, LLMs , and MLOps . Position : Senior Data Scientist Gen AI | NLP | LLM | MLOps Locations : Bangalore | Pune | Noida | Gurgaon | Hyderabad Experience : 6 to15 Years Joiners Preferred : Immediate or Short Notice Key Responsibilities Design and implement advanced NLP and Gen AI models using cutting-edge LLMs (e.g., GPT, LLaMA, Mistral). Fine-tune and customize LLMs through LoRA , PEFT , and prompt engineering techniques. Develop scalable ML pipelines and ensure smooth deployment via MLOps best practices. Translate business challenges into impactful AI-powered solutions . Monitor and improve model performance for accuracy and scalability. Create documentation and foster cross-functional knowledge sharing. Required Skills Strong hands-on experience in Generative AI , NLP , and LLM development (using frameworks like Hugging Face, spaCy, LangChain). Expert knowledge of Python , TensorFlow/PyTorch , and the ML lifecycle. Deep MLOps know-how: CI/CD, model monitoring, versioning, and deployment workflows. Cloud-native development experience (AWS, Azure, or GCP) and container tools ( Docker , Kubernetes ). Experience with large-scale data handling and data engineering principles. Nice to Have Familiarity with RAG pipelines , vector databases , and advanced prompt tuning. Exposure to multi-modal architectures , transformer models , and open-source LLMs . Publications or community involvement in AI research or development. Apply Today If you're eager to build the future of AI and ready to take on exciting challenges, we want to hear from you.

We are looking for an enthusiastic and driven Data Science - AI / ML Intern to join our team. This is a great opportunity for individuals who are passionate about applying data, algorithms, and machine learning to solve real-world problems. You will work on AI/ML research and development projects and collaborate with experienced professionals to grow your skills. Key Responsibilities: Assist in developing and testing machine learning models using Python and popular ML libraries Support AI/ML research, experiments, and proof of concept projects Perform data collection, cleaning, analysis, and visualization Apply statistical techniques and ML algorithms to solve business or research problems Document processes, models, and experiment results Work collaboratively with data scientists, engineers, and product teams Basic Requirements: Proficiency in Python and common ML libraries (eg, scikit-learn, pandas, NumPy) Basic understanding of statistics , machine learning algorithms , and data modeling Exposure to AI/ML projects (academic, personal, or internships) Familiarity with tools like TensorFlow , scikit-learn , or Azure ML Curiosity to explore new methods and use data to solve problems Strong communication and presentation skills Preferred Skills: Experience with Jupyter Notebooks , Google Colab , or cloud-based ML platforms Familiarity with deep learning frameworks (TensorFlow, Keras, PyTorch) Exposure to Azure Machine Learning , MLflow , or MLOps practices Understanding of data pipelines and basic SQL Why Join Us Opportunity to work on innovative AI/ML projects Learn from experienced data scientists and engineers Collaborative and growth-focused environment Potential for full-time employment based on performance

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients' business processes and challenges

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred

Position Overview: We are seeking a Senior Data Scientist Engineer with experience bringing highly scalable enterprise SaaS applications to market. This is a uniquely impactful opportunity to help drive our business forward and directly contribute to long-term growth at Virtana. If you thrive in a fast-paced environment, take initiative, embrace proactivity and collaboration, and you re seeking an environment for continuous learning and improvement, we d love to hear from you! Virtana is a remote first work environment so you ll be able to work from the comfort of your home while collaborating with teammates on a variety of connectivity tools and technologies. Role Responsibilities: Research and test machine learning approaches for analyzing large-scale distributed computing applications. Develop production-ready implementations of proposed solutions across different models AI and ML algorithms, including testing on live customer data to improve accuracy, efficacy, and robustness Work closely with other functional teams to integrate implemented systems into the SaaS platform Suggest innovative and creative concepts and ideas that would improve the overall platform. Job Location - Pune, Chennai or Remote Qualifications: The ideal candidate must have the following qualifications: 6 + years experience in practical implementation and deployment of large customer-facing ML based systems. MS or M Tech (preferred) in applied mathematics/statistics; CS or Engineering disciplines are acceptable but must have with strong quantitative and applied mathematical skills In-depth working, beyond coursework, familiarity with classical and current ML techniques, both supervised and unsupervised learning techniques and algorithms Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization Experience in working on modeling graph structures related to spatiotemporal systems Programming skills in Python is a must Experience in understanding and usage of LLM models and Prompt engineering is preferred. Experience in developing and deploying on cloud (AWS or Google or Azure) Good verbal and written communication skills Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow About Virtana: Virtana delivers the industry s only unified software multi-cloud management platform that allows organizations to monitor infrastructure, de-risk cloud migrations, and reduce cloud costs by 25% or more. Over 200 Global 2000 enterprise customers, such as AstraZeneca, Dell, Salesforce, Geico, Costco, Nasdaq, and Boeing, have valued Virtana s software solutions for over a decade. Our modular platform for hybrid IT digital operations includes Infrastructure Performance Monitoring and Management (IPM), Artificial Intelligence for IT Operations (AIOps), Cloud Cost Management (Fin Ops), and Workload Placement Readiness Solutions. Virtana is simplifying the complexity of hybrid IT environments with a single cloud-agnostic platform across all the categories listed above. The $30B IT Operations Management (ITOM) Software market is ripe for disruption, and Virtana is uniquely positioned for success. Company Profitable Growth and Recognition In FY2023 (Fiscal year ending January 2023), Virtana earned: Best CEO, Best CEO for Women, and Best CEO for Diversity by Comparably Two years in a row YoY Profitable Annual Recurring Revenue (ARR) Growth Two consecutive years of +EBITDA, 78% YoY EBITDA growth, or 20% of Revenue Positive Cash Flow, 171% YoY cash flow growth You can schedule with us through Calendly at https: / / calendly.com / bimla-dhirayan / zoom-meeting-virtana

We are seeking a skilled Data Scientist with strong Python, machine learning, and data visualization expertise. You’ll work on predictive modeling, performance optimization, and integrate marine engineering concepts into scalable digital solutions.

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients' business processes and challenges