1345 Data Scientist Jobs - Page 47

Salary : 25 to 40 LPA Exp: 4 to 8 years Location :Noida/Gurugram/Bangalore Notice: Immediate to 30 days..!! Roles & responsibilities: 5+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Data Analysis, SQL, R, Python, Tableau, Power BI,

Your tasks and responsibilities: You manage and extend our pool of MRI training and validation data. You ensure compliant data ingestion from customers, collaboration partners, and internal teams. You organize and store data efficiently and implement quality control measures for data. You establish Standard Operating Procedures for data handling and storage within the organization. You ensure data integrity and accessibility for machine learning projects. You support ML development activities by assisting in data selection and dataset curation considering statistical soundness and requirements for regulatory approvals. You work closely with our scientists and engineers to train, evaluate, and improve ML models. You perform tests and scientific evaluations on our data. You support regulatory submission processes by delivering data management specifications. To find out more about the specific business, have a look at Magnetic Resonance Imaging Your qualifications and experience: You have successfully completed a university degree (Master's/Diploma/PhD) in Computer Science, Data Science, Machine Learning, Bio-Medical Engineering or similar. You have 2 to 5 years of professional experience in data science and machine learning, preferably within medical imaging or healthcare. You have proficiency in Python, R; experience with TensorFlow, PyTorch, scikit-learn and C++ You have a proven track record of establishing and maintaining standard operating procedures for data handling and storage. You are familiar with ensuring data integrity and accessibility for advanced ML projects. You have knowledge of statistical modeling and methods and regulatory requirements in data management. Your attributes and skills: Since the development teams of the Application Release Train are spread internationally across three locations, strong English Communications skills are required. We win together - that's why you are proactively committed to delivering the best possible solutions to our customers You present your ideas and results confidently and convincingly in cross-functional development teams Personally, you are characterized by your strong teamwork and cooperation skills as well as your persuasiveness The highest quality standards in product development are a matter of course for you

We are seeking a highly skilled and motivated Data Scientist to join our team. The ideal candidate will have a strong background in data analysis, statistical modelling, and machine learning. This role will involve identifying, analysing and delivering data science use cases that enhance efficiencies and deliver significant value within Alliad, while being responsible for analyzing large datasets, developing predictive models, and providing actionable insights to support decision-making across our various business units. Role & responsibilities Collect, clean, and preprocess data from various sources. Develop and implement statistical models and machine learning algorithms to solve business problems and aid in decision making. Analyze and interpret complex data sets to identify trends, patterns, and insights. Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions. Lead analytical and data science projects from inception through deployment, ensuring successful implementation Utilise sophisticated visualisation techniques to make data accessible and engaging for end-users Communicate findings and insights to stakeholders through reports, dashboards, and presentations. Stay up-to-date with the latest advancements in data science and machine learning technologies. Regular travel to the business units will be required in the first year to understand the business requirements. Preferred candidate profile Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field. Proven experience as a Data Scientist or similar role. Strong knowledge of statistical analysis, machine learning, and data mining techniques. Proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools such as Tableau, Power BI, or similar. Skilled in managing and merging complex data sets Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Experience in the Food supply, Construction, or Facility Management sectors. Familiarity with big data technologies such as Hadoop, Spark, or similar. Knowledge of cloud platforms such as AWS, Azure, or Google Cloud

As a Data Scientist, you'll design, develop, and deploy natural language processing models to drive business value. You'll collaborate with cross-functional teams to identify opportunities, collect and pre-process data, and implement scalable NLP solutions. Responsibilities : ❖ Develop and fine-tune Transformer models (e.g., BERT, RoBERTa, XLNet) for NLP tasks (e.g., text classification, sentiment analysis, named entity recognition) ❖ Collect, pre-process, and annotate datasets for NLP model training ❖ Conduct research and stay up-to-date with advancements in Transformer architectures and NLP ❖ Develop and fine-tune conversational AI models (e.g., intent recognition, sentiment analysis,dialogue management) Requirements : ❖ 3+ years of experience in NLP, machine learning, and data science ❖ Master's or Ph.D. in Computer Science/Data Science (Preferable) ❖ Experience with deep learning frameworks ❖ Clarity on fundamentals of NLP and ML algorithms ❖ Excellent problem-solving and communication skills Show more Show less

About The Role Grade Level (for internal use): 09 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 2+ 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 We're more than 35,000 strong worldwide—so we're 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 world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you 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. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure 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 Perks: It’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 Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://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 to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 315682 Posted On: 2025-05-20 Location: Gurgaon, Haryana, India Show more Show less

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau) Show more Show less

Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division The Information Technology (IT) group at KLA is involved in every aspect of the global business. IT’s mission is to enable business growth and productivity by connecting people, process, and technology. It focuses not only on enhancing the technology that enables our business to thrive but also on how employees use and are empowered by technology. This integrated approach to customer service, creativity and technological excellence enables employee productivity, business analytics, and process excellence. Job Description/Preferred Qualifications We are seeking for a Data Scientist/ML Engineer with experience in NLP, statistics, and Conversational AI. The ideal candidate is adept at using Statistical Modelling, Machine learning algorithms and Conversational AI. Strong experience using variety of data mining/ Machine Learning methods, using/coding algorithms and running simulations. The right candidate will have a passion for discovering solutions hidden in large data sets and working with business partners to improve business outcomes. Responsibilities for Data Scientist/ML Engineer: Building end-to-end ML systems (Including traditional ML models and Conversational AI) and deploying them to operate at scale. Research and devise innovative statistical models/ML models for data analysis Develop and maintain RAG (Retrieval-Augmented Generation) applications. Implement changes to algorithms to improve AI performance and retrieval techniques. Use predictive modeling to increase and optimize customer service experience and supply chain optimization. Identify patterns in data using statistical modeling, develop custom data models and algorithms to apply to data sets. Work with business partners throughout the organization to find opportunities for using company data to drive solutions. Working with project managers to establish objectives for AI systems. Minimum Qualifications Skills and Qualifications: Bachelor’s degree (or equivalent) in computer science, statistics, applied mathematics, or related discipline Experience solving problems with Conversational AI in a production environment for a High-tech Manufacturing Industry 4+ years of experience in Python and ML packages (NumPy, Keras, Seaborn, Scikit-learn). Excellent understanding of machine learning techniques and algorithms such as, Regression models, kNN, SVM,NB, Decision Trees. Expertise/Familiarity with one or more deep learning frameworks such as TensorFlow, PyTorch. We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees. KLA is proud to be an equal opportunity employer Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information. Show more Show less

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world! Job Description We are seeking a Data Scientist to develop next-generation Security Analytics products . You will work closely with engineers and product managers to prototype, design, develop, and optimize data-driven security solutions. As a Data Scientist , you will focus on consolidating and analyzing diverse data sources to extract meaningful insights that drive product innovation and process optimization . The ideal candidate has a strong background in quantitative analysis, machine learning, and data-driven decision-making , with experience handling large datasets. Responsibilities: Conduct exploratory data analysis (EDA) and apply statistical methods to extract actionable insights from complex datasets. Collaborate with Product Management and cross-functional stakeholders to define problem statements, develop solution strategies, and design scalable ML systems. Design, develop, and deploy Machine Learning models, including traditional ML, Deep Learning, and Large Language Models (LLMs), to drive business impact. Create insightful data visualizations, technical reports, and presentations to communicate findings to technical and non-technical audiences. Deploy ML models in production and implement monitoring frameworks to ensure model performance, stability, and continuous improvement. Requirements: 2-5 years of experience in Machine Learning projects, including model development, deployment, and optimization. BS, MS, or Ph.D. in Computer Science, Statistics, or a related field. Strong communication, problem-solving, and analytical skills; a collaborative team player. Deep understanding of ML algorithms, their mathematical foundations, and real-world trade-offs. Expertise in at least two or more ML domains, including Linear Models, Tree-based Models, Traditional NLP, LLMs, Numerical optimization and Reinforcement Learning. Hands-on experience with ML frameworks such as Scikit-Learn, TensorFlow, PyTorch, LangChain etc. Strong programming skills in Python and/or Java, R, Go, Scala. Experience in SQL, Pandas, and PySpark for efficient data manipulation. Familiarity with microservice architectures, CI/CD, MLOps best practices. Nice to Have: Generative AI: Experience with fine-tuning and optimizing LLMs. Familiarity with distributed computing frameworks such as Hadoop, Spark, and OpenSearch. Published research in AI/ML in peer-reviewed journals or top conferences (e.g., NeurIPS, ICML, CVPR). Prior experience applying AI/ML to cybersecurity use cases. Basic proficiency in Unix/Linux environments for scripting and automation. Show more Show less

About The Role Grade Level (for internal use): 09 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 2+ 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 We're more than 35,000 strong worldwide—so we're 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 world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you 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. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure 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 Perks: It’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 Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://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 to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 315682 Posted On: 2025-05-20 Location: Gurgaon, Haryana, India Show more Show less

Vertical : Credit analytics and innovation Job Purpose Looking for exceptional Data Scientist with a proven track record of experience in Predictive analytics. Job Responsibilities(JR) : 6 – 8 Areas Actionable (4-6) · Scorecard Building and Modelling · Developing analytical models to assess risk profile of a customer / identifying cross-sell opportunities/fraud control for new and existing customers · Responsible for development and deployment of various scorecards / models for the credit risk / Retail asset products of the Bank within the specified timelines. Ensure the deployment also is line with Bank’s strategies so as to gain maximum efficiencies. · Estimate probability of default arising out of the scorecards and monitor deviation from expected default rates. · Monitor portfolio and identify pockets of opportunity for business growth and risk alerts to control NPAs. Communicate these alerts to the respective owners and follow-up for closure · Formulating data cuts and strategies to assess credit risk for new and existing customers of the Bank. Give feedback to stakeholders to improve the usage of the models · Develop novel approaches/algorithms in Risk modeling to constantly improve the operational efficacy of current models and its impact to stake holders · To adopt the latest trends wrt fintech companies by applying the best-in-class financial models, risk strategies · To work on various aspects related to automation of scorecards in Analytics domain. · Explore data available within the Banks ecosystem but not used currently to meet the above stated business objectives · Innovation · Thinking, evolving and making significant changes in the processes, techniques, methods so as to save time, energy and money. · Any other assignments depending on the needs of the organization Educational Qualifications Key Skills 1. MCA/MTech/MSc Statistics or Economics/BTech/MBA or equivalent in Computer science/Statistics or related areas with strong inclination towards machine learning algorithms is preferred · Excellent problem solving capabilities with strong fundamentals in computer science · Strong technical & analytical skills · Hands-on experience in data wrangling (ETL), feature engineering, building and deploying scalable machine learning algorithms · Strong written and verbal communication skills · Excellent knowledge of current trends in the field of machine learning/analytics field Experience Required Experience of 2+ years in analytics/predictive modeling/machine learning Experience of 2+ years in Python/R in building as well as deploying scalable analytics based models Exposure to banking preferable Major Stakeholders (intra team and cross functional stakeholders, who would need to be interacted with for discharging duties) · Credit Policy · Underwriting · Process · Fraud Control · Product · Credit Bureaus · Third Party Analytics Service Providers · IT · Legal · Information Security Show more Show less

Job Summary: We are looking for a skilled Data Scientist to join our team. This role involves analyzing complex datasets, developing predictive models, and providing data-driven insights to support business decisions. The ideal candidate should have strong analytical skills, proficiency in machine learning techniques, and experience working with large datasets. Key Responsibilities: Collect, clean, and preprocess large datasets from various sources. Develop and implement statistical models and machine learning algorithms. Conduct exploratory data analysis to identify patterns and trends. Collaborate with cross-functional teams to understand business needs and deliver insights. Create data visualizations and dashboards to communicate findings effectively. Monitor model performance and refine algorithms based on feedback. Stay updated on industry trends and advancements in data science. Requirements: 5+ years of experience in Data science Proficiency in programming languages such as Python, R, or SQL. Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn, PyTorch). Strong knowledge of statistical analysis and data mining techniques. Familiarity with big data technologies like Hadoop or Spark. Excellent problem-solving skills and ability to work independently. Strong communication skills to convey complex technical concepts to non-technical stakeholders. Preferred Qualifications: Experience with deep learning frameworks and AI applications. Hands-on experience with data visualization tools (e.g., Tableau, Power BI). Prior experience in a similar role within the technology or finance sector. Show more Show less

About Ericsson Ericsson is a leading provider of telecommunications equipment and services to mobile and fixed network operators globally. Our innovative solutions empower individuals, businesses, and societies to explore their full potential in the Networked Society. 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. Key Responsibilities 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. Qualifications Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. A Master's degree or PhD is preferred. 8-12 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) || Noida Req ID: 767292 Show more Show less

📢 We're Hiring: Senior Data Scientist 📍 Remote | 💼 Full-Time | 🧠 4+ Years Experience Join us as a Senior Data Scientist and help build scalable, real-world ML solutions that power business decisions. You’ll work closely with engineers and stakeholders to turn complex data into actionable insights. 🔍 What You’ll Do: Design & deploy ML/statistical models Analyze data to uncover key insights Collaborate across tech & business teams ✅ What You Bring: 4+ years in data science Strong Python & SQL skills Solid grasp of ML algorithms Cloud experience (AWS/GCP/Azure) is a plus 🚀 Let’s build something impactful — together. Apply now or DM me to learn more! #RemoteJobs #DataScience #MachineLearning #SeniorDataScientist #Hiring #Python #TechCareers Show more Show less

Company Description micromonic is focused on unlocking value for businesses through deep tech and responsible AI, powered by the Micromonic Neural Platform. Their intelligent AI systems enhance decision-making, optimize operations, and fuel innovation to empower businesses to stay ahead of the curve. Role Description This is a remote internship role for a Data Scientist at micromonic. The Data Scientist will be responsible for tasks such as data science, statistics, data analytics, data visualization, and data analysis. The role requires working on AI solutions that transform decision-making processes. Qualifications Data Science and Data Analytics skills Statistics and Data Analysis skills Data Visualization expertise Strong analytical and problem-solving abilities Experience with machine learning algorithms Ability to work independently and remotely Strong programming skills in languages like Python or R Knowledge of AI and deep learning concepts Show more Show less

Currently we have an open position with one of our Service Based Consulting Firm Experience : 5-8 Yrs Location: Remote Skills: Data Scientist, machine learning, Deep learning, Python ● Overview: ○ The Data Scientist professional plays a critical role in developing advanced analytics models to solve complex business problems, leveraging expertise in Machine Learning, Deep Learning, and AI. ● Job Description: ○ Develop and implement statistical models and machine learning algorithms to address business challenges. ○ Perform exploratory data analysis, data cleaning, and preprocessing to prepare datasets for modeling. ○ Collaborate with team members and stakeholders to ensure the effective deployment of data-driven solutions. ○ Actively contribute to the team's knowledge sharing, helping to mentor junior members. ● Qualifications: ○ Master’s degree in Computer Science, Statistics, Mathematics, or related field, with a focus on Machine Learning, Deep Learning, and AI. ○ 3+ years of experience in data science, with proven expertise in Python and its data science libraries. ○ Experience with BI & Data Engineering, Snowflake, and Snowpark is preferred. ● Skills: ○ Proficiency in Machine Learning, Deep Learning, and AI concepts and techniques. ○ Expertise in Python, including libraries like TensorFlow and PyTorch. ○ Good analytical and problem-solving skills. ○ Ability to communicate complex concepts clearly. ○ Domain knowledge in a particular industry, with the ability to apply technical skills to solve real-world problems. Show more Show less

Expertise in developing Machine Learning (ML), Deep Learning (DL), and Generative AI (GenAI) solutions, including experience with transformer models (e.g., BERT, GPT, T5). • Proficiency in developing Natural Language Processing (NLP) solutions, leveraging state-of-the-art deep learning architectures. • Expert-level knowledge of Python programming, along with experience in production-level Python scripting, API development, and coding. • Experience with Python-based frameworks such as FastAPI, Streamlit, and others. • Experience in working on Linux environments, including shell scripting. • Hands-on experience with SQL ecosystems and proficiency in working with data retrieval systems like Solr in Python. • Strong knowledge of statistical modeling and the ability to apply statistical techniques to analyze datasets. • Experience with Cloud Native technologies from Azure and AWS, including services such as Cognitive Search, Form Recognizer, and related AI offerings. • Solid understanding of computer science fundamentals (data structures, algorithms, operating systems, databases). • Good communication and organizational skills with a focus on detail, especially when working across teams of engineers, data scientists, and product designers. • Excellent problem-solving skills, with a strong attention to detail and the ability to thrive in a fast-paced, distributed technical environment. • Passionate about emerging technologies and AI trends, with a strong drive for continuous innovation and improvement. • Self-motivated, able to manage priorities independently while working on multiple projects concurrently 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. Job Description Job Title: Data Scientist Location: PuTC, Pune Job Summary: We are looking for data scientists to join the PuTC Data Science team. The Data Scientists will be responsible for designing and executing undirected research and tackling open-ended data problems related to oil and gas domain using advanced techniques in AI (Artificial Intelligence), ML (Machine learning), DL (deep learning) etc. The data scientists will be working with very complex and large data sets. The individual will be responsible for collaborating with various cross functional teams and providing periodic updates through presentations and prototype demonstrations. The role will require working on multiple projects simultaneously. Responsibilities Assimilate next-generation technologies for data-driven solutions in oil and gas domain Generate innovative ideas, establish new research directions, and shape and execute on research projects Apply engineering knowledge in developing data-driven algorithms and prototypes for classification, regression, anomaly detection, failure prediction, and optimization Collaborate with business and engineering teams to implement robust and scalable industrial software solutions Contribute to technical discussions and undertake reviews of different projects as an expert Communicate ideas, plans, and results effectively to different stake holders Participate in technical forums and other appropriate events and conferences Qualifications and Requirements M.S/MTech/PhD in computer science, mathematics, physics, applied sciences, engineering or similar disciplines with demonstrated capability in field of algorithm development using General AI, Generative AI with 3-5 years of experience, Deep understanding of Generative AI, deep learning algorithms and their applications to text analytics/NLP, computer vision etc Strong background in retrieval augmented generation (RAG), agentic frameworks, etc. would be preferred. Strong background in linear algebra, statistics, and probability Strong background in Python programming Hand-on experience in developing deep learning models using TensorFlow, Keras, Pytorch, etc. will be a plus Experience in patents or publications at top-tier peer-reviewed conferences or journals 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

Company Description micromonic is a deep tech company focused on unlocking value for businesses and enterprises through responsible AI powered by the proprietary Micromonic Neural Platform. They craft intelligent AI systems that enhance decision-making, optimize operations, and drive innovation in various areas including financial health prediction, AI-powered lending decisions, conversational AI, enterprise knowledge search, and compliance/security frameworks. Role Description This is a full-time remote role for a Data Scientist at micromonic. The Data Scientist will be responsible for conducting data analysis, utilizing statistics, data analytics, and data visualization techniques to derive insights and make data-driven decisions to enhance various AI systems and solutions. Qualifications Data Science and Statistics skills Data Analytics and Data Analysis abilities Data Visualization proficiency Strong understanding of machine learning algorithms Experience in programming languages such as Python or R Ability to work independently and remotely Effective communication skills and teamwork abilities Master's degree or PhD in Data Science, Statistics, Computer Science, or related field Show more Show less

Evaluate model development data quality, methodology Perform proper documentation Conduct in-depth analysis of large data sets and support the review and maintenance process of relevant models and model validation documentation. Required Candidate profile 2+ years experience in model development or model validation experience in the retail section of a U. S. financial services/banking hands-on and proven experience utilizing Python, Spark , SAS, SQL,

Role - Data Science Experience - 6 to12 years Location - Gurugram Must have skills: API + Python + ML

Job Role You’ll work at the intersection of Generative AI, Machine Learning, and personal finance. You’ll partner with Product, Engineering, and Ops to: • Drive smarter decision-making using AI. • Improve customer outcomes by personalising experiences. • Launch agentic AI systems to streamline sales, support, and credit evaluation. Key Responsibilities Design, build, and deploy machine learning and generative AI models. Translate real-world business problems into data science solutions — from ideation to production. Collaborate with engineers to set up scalable data pipelines and APIs. Constantly monitor model performance and retrain as needed. Build solutions that leverage LLMs for tasks like summarization, sentiment detection, classification, and recommendations. Stay up-to-date with developments in GenAI and actively experiment with new techniques. Required Qualifications Strong foundation in machine learning, feature engineering, and model deployment. Hands-on experience implementing GenAI use cases (e.g., prompt engineering, RAG, embeddings). Proficiency in Python, SQL, and ML libraries like scikit-learn, XGBoost, TensorFlow, or PyTorch. Familiarity with LLM frameworks (LangChain, OpenAI, HuggingFace) and cloud services (AWS/GCP/Azure). Demonstrated ability to take AI models from notebook to production. Excellent communication skills and ability to collaborate cross-functionally. Preferred Qualification Prior experience in Fintech, BFSI, or working with credit and customer data. Understanding of ethical AI, data privacy, and model fairness. Familiarity with customer-facing AI products (chatbots, agentic workflows). What We Offer • A high-impact role at a company solving a real societal problem. • The opportunity to shape AI strategy and product direction from the ground up. • A culture that values curiosity, ownership, and bold thinking. Show more Show less

Introduction A career in IBM Software means you’ll be part of a team that transforms our customer’s challenges into solutions. Seeking new possibilities and always staying curious, we are a team dedicated to creating the world’s leading AI-powered, cloud-native software solutions for our customers. Key Responsibilities Your role and responsibilities Advanced AI Solutions Development: Design and deploy innovative AI solutions to address complex business issues. Utilize a deep understanding of neural networks, natural language processing (NLP), and predictive analytics to significantly enhance business intelligence and support data-driven decision making. Leadership in Technology Integration: Drive initiatives that integrate state-of-the-art technologies into varied business processes to boost operational efficiency and enhance the customer experience. Ensure these technologies align with strategic business goals and deliver tangible, measurable improvements. Strategic Project Management: Utilize a proven track record in leading diverse teams and managing complex, multi-disciplinary projects. Apply extensive knowledge gained from senior data science roles to effectively manage and inspire cross-functional teams. Innovative Research and Development: Lead pioneering research in artificial intelligence, drawing on expertise from a Ph.D. in Data Science. Continuously push the boundaries of technology to maintain leadership in the field and contribute to the advancement of industry knowledge. Stakeholder Engagement and Solution Delivery: Effectively communicate and engage with stakeholders at all levels, from technical teams to executive leadership. Translate complex technical details into clear, strategic insights during customer engagements and high-level presentations. Mentorship and Team Development: Mentor and develop team members, enhancing their skills in advanced data science and AI technologies. Foster a culture of learning and innovation, leveraging extensive experience in leadership and project management to build a strong, capable team. Preferred Education Doctorate Degree Required Technical And Professional Expertise Extensive experience in AI, machine learning, and cloud architectures. Proven leadership in managing large-scale projects and teams. Strong technical proficiency in Python, TensorFlow, PyTorch, and other AI/ML frameworks. Deep expertise in cloud computing solutions across platforms like IBM, AWS, and Azure. Solid experience in designing, building, and optimizing machine learning models across various applications (e.g., classification, regression, clustering, and recommendation systems). Familiarity with AI techniques, including supervised and unsupervised learning, natural language processing, generative AI, or computer vision. Experience in integrating AI models into production systems and optimizing for performance and scalability. Knowledge of data preprocessing, feature engineering, and model evaluation techniques Familiarity with cloud platforms and version control (Git) Preferred Technical And Professional Experience Doctorate in Data Science or related field, with a focus on Artificial Intelligence. Experience in leading AI initiatives. Demonstrated ability in driving research and development in AI. Exceptional communication and team management skills. Show more Show less

Your potential, unleashed. India’s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realise your potential amongst cutting edge leaders, and organisations shaping the future of the region, and indeed, the world beyond. At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters. The team Today’s business challenges present a new wave of HR, talent and organization priorities. Deloitte’s Human Capital services leverage research, analytics, and industry insights to help design and execute critical programs from business driven HR to innovative talent, leadership, and change programs. Learn more about Human Capital Practice Your work profile As a Senior Consultant in our People Analytics Team you’ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations: - Act as a People Analytics ambassador for our clients, making them aware of its possibilities, explaining the benefits, and articulating how we can help them create a culture of insights-driven people processes and programs Drive the People Analytics strategy for Deloitte, design new products and offerings around the HR function and translating these into a concrete strategy and road-map for the future Partner with the Client HR and leadership team and master translating business needs into data-driven solutions Collect and compile people data, define appropriate metrics, utilise storytelling to create report design and delivery, and make recommendations based on trends or patterns Identify opportunities to drive greater organizational impact through analytics Build strong relationships with clients and foster business growth, Co-create solutions and assist clients in developing action plans, Manage end to end projects Refine complex analytical results into presentable, digestible, and actionable recommendations and insights for the clients Drive development of assets and methodologies, development of point-of-view, research or white papers, support development of marketing collateral, public speaking and publication in industry periodicals. Collaborate with multiple stakeholders across various teams within Deloitte to help create viable products as well as client stakeholders to help drive product usage Desired qualifications and Skills MBA OR Masters in I/O Psychology/ Behavior Science /Analytics field 4+ years of experience in core data analysis and visualization role (internal / external consulting experience or functional knowledge of HR domain preferred) Demonstrate strong business acumen with the ability to design data-driven solutions, apply structured problem-solving approaches, and translate complex business challenges into actionable insights Fluency in end-to-end data handling and pipeline building for dashboards Working knowledge of analysis techniques and data engineering Expertise in data handling, transformation, pipelines and visual data analysis Expertise in design and development of intuitive dashboards using data visualization platforms like Power BI, Tableau is required Data interpretation with working knowledge of analytic models and digital tools Knowledge of people management-related areas (workforce transformation, workforce and talent strategy, organization culture, change strategy, stakeholder assessment, change impact analysis, organization design, and business readiness) Working experience in Python programming, especially for data analysis & manipulation (including Pandas) is a plus Superb analytical skills; hands-on experience manipulating and deriving insight from large datasets Expert PPT and Excel skills Excellent verbal, written, interpersonal communication abilities (English language) including skills in explaining technical topics to novices and collaborating with Subject Matter Experts and other stakeholders Ability to develop strategic recommendations Location and way of working Base location: Mumbai, Gurgaon, Bangalore This profile involves occasional travelling to client locations Hybrid is our default way of working. Each domain has customised the hybrid approach to their unique needs. Your role as a Senior Consultant We expect our people to embrace and live our purpose by challenging themselves to identify issues that are most important for our clients, our people, and for society. In addition to living our purpose, Senior Executive across our organization must strive to be: Inspiring - Leading with integrity to build inclusion and motivation Committed to creating purpose - Creating a sense of vision and purpose Agile - Achieving high-quality results through collaboration and Team unity Skilled at building diverse capability - Developing diverse capabilities for the future Persuasive / Influencing - Persuading and influencing stakeholders Collaborating - Partnering to build new solutions Delivering value - Showing commercial acumen Committed to expanding business - Leveraging new business opportunities Analytical Acumen - Leveraging data to recommend impactful approach and solutions through the power of analysis and visualization Effective communication – Must be well abled to have well-structured and well-articulated conversations to achieve win-win possibilities Engagement Management / Delivery Excellence - Effectively managing engagement(s) to ensure timely and proactive execution as well as course correction for the success of engagement(s) Managing change - Responding to changing environment with resilience Managing Quality & Risk - Delivering high quality results and mitigating risks with utmost integrity and precision Strategic Thinking & Problem Solving - Applying strategic mindset to solve business issues and complex problems Tech Savvy - Leveraging ethical technology practices to deliver high impact for clients and for Deloitte Empathetic leadership and inclusivity - creating a safe and thriving environment where everyone's valued for who they are, use empathy to understand others to adapt our behaviours and attitudes to become more inclusive. How you’ll grow Connect for impact Our exceptional team of professionals across the globe are solving some of the world’s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report. Empower to lead You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership. Inclusion for all At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters. Drive your career At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte. Everyone’s welcome… entrust your happiness to us Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here’s a glimpse of things that are in store for you. Show more Show less

Role Description The Data Scientist will be responsible for tasks such as Data Science, Statistics, Data Analytics, Data Visualization, and Data Analysis to drive insights and decision-making within the company. Qualifications Data Science and Statistics skills Data Analytics and Data Analysis skills Data Visualization skills Experience in handling large datasets and databases Programming skills in languages like Python, R, or SQL Ability to communicate complex data findings clearly Master's degree in Data Science, Statistics, Computer Science, or related field Experience with real estate data analytics is a plus Show more Show less