1345 Data Scientist Jobs - Page 48

About KnowDis KnowDis is an AI-driven company based in Delhi dedicated to transforming e-commerce and banking sectors through cutting-edge technology. With expertise in artificial intelligence, machine learning, and large language models (LLMs), we develop innovative solutions that enhance operational efficiency and drive growth. In e-commerce, we build advanced systems for product search optimization, leveraging LLMs to improve natural language queries and search accuracy. Our team includes B.Tech and Phds from various IITs including Delhi, Guwahati, BHU. Across both industries, we are committed to delivering intelligent, scalable AI solutions that shape the future of business and finance. About the Role At KnowDis, you will move the world forward. Every day, we create innovative machine-learning solutions to help our clients across e-commerce, healthcare, and finance domains to solve their problems. We are a group of highly curious professionals dedicated to discovering and implementing new deep learning models. We work at the intersection of machine learning, statistical analysis, deep learning, natural language processing, and computer vis ion.We bring out the best in each other, and together, we work towards the vision of using this expertise to help society and make the world a better place. As a data scientist, you should be passionate about natural language processing, computer vision, statistical sampling, and analytical methods. You will develop machine learning systems, analyze performance, and refine models through hyperparameter tuning and experimentation to optimize results. You will also improve algorithm accuracy by iterating based on performance metrics and fee dback.To succeed in this role, you need exceptional skills in statistics and programming. You will be part of an agile team and will be collaborating with engineers, data engineers, and fellow data scientists. Job Responsibilities Develop and Implement Machine Learning Models: Design, build, and deploy machine learning models and algorithms for various applications, ensuring they are robust and scalable for production use. Data Exploration and Preparation: Collect, clean, and preprocess large datasets, including feature engineering and data transformation, to create a strong foundation for modeling. Model Training and Optimization: Train models using state-of-the-art techniques, optimize performance through hyperparameter tuning, and conduct thorough experimentation to achieve desired results. Analyze and Evaluate Performance: Use appropriate metrics to analyze model accuracy, precision, recall, and other relevant performance indicators, and iteratively improve models based on findings. Experimentation and Research: Stay updated on the latest machine learning and data science advancements, and run experiments to identify potential new techniques and approaches for business challenges. Requirements for the job Bachelor’s/Master's/Ph.D. in Computer Science, Mathematics, Statistics, or equivalent field. Minimum of 1 to 2 years of experience in ML and AI roles. Strong proficiency in Python and machine learning frameworks like PyTorch, TensorFlow, Scikit-learn, and others. Solid understanding of statistical analysis, data modeling, and algorithmic techniques for various ML tasks. Experience in Natural Language Processing (NLP) and/or Computer Vision (CV) is required; any of the followingis preferred: NLP: Strong understanding of RNNs and transformer-based architectures for tasks such as chatbots/dialogue systems, machine translation, named entity recognition, recommendation systems, and retrieval systems. Computer Vision: Hands-on experience with cutting-edge Vision Language Models (VLMs) like ViT, CLIP, Swin Transformers, DINO, GroundedSAM, SAM, YOLOv7/v8, and multimodal architectures like BLIP-2 and GIT-2. Skilled in Visual Question Answering (VQA), image classification, search, and object detection, with expertise in advanced techniques for complex vision and multimodal tasks. Practical experience in building production-ready systems using deployment frameworks such as FastAPI, NVIDIA Triton Inference Server, TorchServe, or TensorFlow. SELECTION PROCESS: Intereste d Candidate s are mandatorily required to apply through this listing on Jigya. Only applications received through Jigya will be evaluated further.Shortlisted candidates may be required to appear in an Online Assessment administered by Jigya on behalf on KnowDis Candidates selected after the screening test will be interviewed by Knowdis.ai Show more Show less

Data Scientist Responsibilities Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets. Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Develop company A/B testing framework and test model quality. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Show more Show less

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. The People Science & Analytics team at Roblox supports our People, Places, & Systems group in all areas of applied statistics, analytics, and data science for internal operations. Our team works to deliver a wide range of insights and solutions for Roblox, from developing industry-leading hiring assessments to architecting data analytics systems and tools. In this role you will join an elite group of analysts and data scientists who are passionate about collecting and using qualitative and quantitative data to design and support Roblox’s approach to leadership, people development, and organisational design and culture. We are responsible for crafting and managing Roblox’s data warehouse, analytical tools, and reports, which are utilised by internal stakeholders throughout the company. Our focus is on optimising performance and ensuring code maintainability. We prioritise transforming data to align with business objectives and offer a solid data foundation and expert mentorship to support data-driven HR initiatives. This is a full time onsite role based out of our Gurugram office. Shift Time: 2:00pm - 10:30pm IST (Cabs will be provided) You Will Partner with the teams within the People, Places, & Systems organisation to identify key metrics, trends, and analytical needs with an emphasis on improving and scaling our analytical offerings. Analyse large data sets to distil insights and connect disparate ideas into a meaningful story to drive strategy, action, and decision-making at an executive level. Diagnose operational breakdowns at the root cause and work with key stakeholders to find efficient and comprehensive solutions. Support data management, analysis and reporting driving insights for Partners and Executives using our people data ecosystem. Handle ad hoc reporting and analytical requests, while addressing stakeholder long-term needs. You Have 5+ years of experience as a data scientist, data engineer, or related role. Experience managing production data pipelines or warehousing data (e.g., Modern Data Warehouse stacks such as dbt, Airflow, Looker, AWS, BigQuery, Snowflake). Demonstrated technical knowledge of statistical analysis software (R or Python). Development background in order to prototype custom analytics/tooling. Architect and work closely with other team members to develop scalable cloud-based data analytic solutions. A consistent track record to learn quickly and works well both independently as well as in a team setting. You Are A great teammate. You take initiative, are proactive, and drive toward team goals A strong communicator. You understand that analysis must be presented in meaningful ways and participate in spirited discussions about the findings. You can explain technical concepts to non-technical audiences and discuss appropriate tradeoffs. Highly self-driven. You are perpetually curious and consistently work to improve your skills by learning the latest modeling techniques, data tools, and domain knowledge. You excel in environments with freedom and autonomy and are excited by the ambiguity that comes from exploring a new problem space. A data expert. You are familiar with data manipulation and analysis with SQL and a scripting language such as Python or R. You are comfortable throughout different phases of data product development and can take a project from conceptualisation to deployment. Roles that are based in our San Mateo, CA Headquarters are in-office Tuesday, Wednesday, and Thursday, with optional in-office on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations for all candidates during the interview process. Show more Show less

Job Title: Data Scientist Fraud & Credit Risk - Decision Science Location: Thane What does a successful Data Scientist, Fraud & Credit Risk - Decision Science do at Fiserv? As a Data Scientist in Fraud & Credit Risk - Decision Science at Fiserv, you will play a pivotal role in our Global Business Solutions (Merchant business) team. You will be responsible for developing and deploying predictive ML models that automate risk controls, reducing fraud and credit risk losses while driving top-line growth. Your efforts will generate insightful analytics, build models/rules, and create data-driven solutions to manage risk and identify new opportunities. This role interfaces with internal and external stakeholders to deliver best-in-class analytical solutions and supports functions including New Merchant On-boarding & Underwriting, Existing Merchant Risk Monitoring, and more. What will you do? - Develop and deploy ML/predictive models using internal and external data. - Track and monitor model performance and provide analytical support for business decisions. - Conduct complex analysis using statistical and quantitative techniques. - Evaluate and integrate data from various sources for modeling, analytics, and reporting. - Generate insights from data to assess key performance indicators/trends. - Partner with business and technical SMEs to analyze and solve business problems. - Support the transformation of risk data capabilities through advanced technology and real-time decision-making. - Implement models and decision rules in production with IT/deployment teams. - Develop documentation to meet internal and external stakeholder requirements. - Coach junior team members and oversee project delivery. What you will need to have ? - Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, or related field. - 7+ years of experience in risk/marketing data analytics or predictive modeling. - Proficiency in SQL, Python, SAS, or other analytical tools/open-source programming languages. - Strong technical skills and problem-solving ability. - Excellent communication and interpersonal skills. What would be great to have ? - Master's degree in Mathematics, Statistics, Computer Science, Engineering, or related field. - 10+ years of relevant experience. - Experience in statistical/financial modelling in the FinTech/Payment’s domain. - Experience with credit bureaus and other external data sources. -Hands-on experience with AI/Money Laundering techniques. Show more Show less

Job Title: AI Platform Lead Location: Noida | Start Date: ASAP | Type: Full-time We’re hiring an AI Platform Lead to manage and scale our AI platforms (Dataiku, Azure ML, Azure AI Services). The role requires 5+ years’ experience in AI/ML platform management, strong cloud and DevOps expertise, and leadership skills. Must-have: Experience with Azure, Dataiku, Agile/DevOps, and a Master’s or PhD in a relevant field.

Job description We are having multiple openings for Data Scientist + Gen AI skills Experience - 6+ Years Location - All LTIMindtree office location Mandatory Skills - Data Science, Gen AI, Python, RAG, Cloud, AI/ML, NLP Mandatory Skills - Data Science, Gen AI, Python, RAG. AI/ML, NLP Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model Deployment Generic JD- More than 6 years of experience in Data Engineering, Data Science and AI / ML domain Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop) Experience in Cloud native skills. Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset Analytical mind and business acumen and Strong math skills (e.g. statistics, algebra) Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable. Experience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc. Great communication and presentation skills. Should have experience in working in a fast-paced team culture. Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc. Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databases Good understanding of applied statistics skills, such as distributions, statistical testing, regression, etc. Should be a data-oriented person with analytical mind and business acumen.

Senior Data Scientist - NAV02EG Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-WB-Kolkata, IND-MM-Pune, IND-TN-Chennai Job Digital Solutions Schedule Full-time Employment Type Employee Job Level Experienced Job Posting May 8, 2025 Unposting Date Jun 7, 2025 Reporting Manager Title Head of Data Intelligence Duration of Contract 0 Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. Were bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Worley Digital At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? Its our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If youre naturally curious, open-minded, and a self-motivated learner - one whos ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Major Accountabilities of PositionAI/ML Architect must have Defining, designing, and delivering ML architecture patterns operable in native and hybrid cloud architectures. Collaborate with Enterprise Architecture, Info Security, DevOps and Data Intelligence team to implement ML Solutions. Defining data augmentation pipelines for unstructured data like Documents, Engineering drawings etc. Build new network architecture in CNN/LSTM/RCNN or Develop wrapper for pre-trained models. Conduct feasibility of transfer learning fitment for given problem. Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. Perform research activities to identify emerging technologies (Generative AI) and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio. Design and deploy AI/ML models in real-world environments and integrating AI/ML using Cloud native or hybrid technologies into large-scale enterprise applications .Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, ML Ops, Model Deployment approaches and Model monitoring and tuning. Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise) 1. Hands-on programming and architecture capabilities in Python. 2. Demonstrated technical expertise around architecting solutions around AI, ML, deep learning and Generative AI related technologies. 3. Experience in implementing and deploying Machine Learning solutions (using various models, such as GPT-4, Lama2, Mistral ai, text embedding ada, Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Topic Modeling, Game Theory etc. ) 4. Understanding of Nvidia Enterprise NEMO Suite. 5. Expertise in popular deep learning frameworks, such as TensorFlow, PyTorch, and Keras, for building, training, and deploying neural network models. 6. Experience in AI solution development with external SaaS products like Azure OCR 7. Experience in the AI/ML components like Azure ML studio, Jupyter Hub, TensorFlow & Sci-Kit Learn 8. Hands-on knowledge of API frameworks. 9. Familiarity with the transformer architecture and its applications in natural language processing (NLP), such as machine translation, text summarization, and question-answering systems. 10. Expertise in designing and implementing CNNs for computer vision tasks, such as image classification, object detection, and semantic segmentation. 11. Hands on experience in RDBMS, NoSQL, big data stores likeElastic, Cassandra. 12. Experience with open source software 13. Experience using the cognitive APIs machine learning studios on cloud. 14. Hands-on knowledge of image processing with deep learning ( CNN,RNN,LSTM,GAN) 15. Familiarity with GPU computing and tools like CUDA and cu DNN to accelerate deep learning computations and reduce training times. 16. Understanding of complete AI/ML project life cycle 17.

Senior Data Scientist - NAV02ED Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-WB-Kolkata, IND-MM-Pune, IND-TN-Chennai Job Digital Solutions Schedule Full-time Employment Type Employee Job Level Experienced Job Posting May 8, 2025 Unposting Date Jun 7, 2025 Reporting Manager Title Head of Data Intelligence Duration of Contract 0 Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. Were bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Major Accountabilities of Position a AI/ML Architect must have Defining, designing, and delivering ML architecture patterns operable in native and hybrid cloud architectures. Collaborate with Enterprise Architecture, Info Security, DevOps and Data Intelligence team to implement ML Solutions. Defining data augmentation pipelines for unstructured data like Documents, Engineering drawings etc. Build new network architecture in CNN/LSTM/RCNN or Develop wrapper for pre-trained models. Conduct feasibility of transfer learning fitment for given problem. Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. Perform research activities to identify emerging technologies (Generative AI) and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio. Design and deploy AI/ML models in real-world environments and integrating AI/ML using Cloud native or hybrid technologies into large-scale enterprise applications .Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, ML Ops, Model Deployment approaches and Model monitoring and tuning. Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise) 1. Hands-on programming and architecture capabilities in Python. 2. Demonstrated technical expertise around architecting solutions around AI, ML, deep learning and Generative AI related technologies. 3. Experience in implementing and deploying Machine Learning solutions (using various models, such as GPT-4, Lama2, Mistral ai, text embedding ada, Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Topic Modeling, Game Theory etc. ) 4. Understanding of Nvidia Enterprise NEMO Suite. 5. Expertise in popular deep learning frameworks, such as TensorFlow, PyTorch, and Keras, for building, training, and deploying neural network models. 6. Experience in AI solution development with external SaaS products like Azure OCR 7. Experience in the AI/ML components like Azure ML studio, Jupyter Hub, TensorFlow & Sci-Kit Learn 8. Hands-on knowledge of API frameworks. 9. Familiarity with the transformer architecture and its applications in natural language processing (NLP), such as machine translation, text summarization, and question-answering systems. 10. Expertise in designing and implementing CNNs for computer vision tasks, such as image classification, object detection, and semantic segmentation. 11. Hands on experience in RDBMS, NoSQL, big data stores likeElastic, Cassandra. 12. Experience with open source software 13. Experience using the cognitive APIs machine learning studios on cloud. 14. Hands-on knowledge of image processing with deep learning ( CNN,RNN,LSTM,GAN) 15. Familiarity with GPU computing and tools like CUDA and cu DNN to accelerate deep learning computations and reduce training times. 16. Understanding of complete AI/ML project life cycle 17. Understanding of data structures, data modelling and software architecture 18.

Principal Data Scientist - NAV02CM Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai, IND-GJ-Vadodara, IND-AP-Hyderabad, IND-WB-Kolkata Job Digital Platforms & Data Science Schedule Full-time Employment Type Employee Job Level Experienced Job Posting May 8, 2025 Unposting Date Jun 7, 2025 Reporting Manager Title Head of Data Intelligence Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. Were bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. The Role As a Data Science Leadwith Worley, you will work closely with our existing team to deliver projects for our clients while continuing to develop your skills and experience etc. Conceptualise, build and manage AI/ML (more focus on unstructured data) platform by evaluating and selecting best in industry AI/ML tools and frameworks Drive and take ownership for developing cognitive solutions for internal stakeholders & external customers. Conduct research in various areas like Explainable AI, Image Segmentation,3D object detections and Statistical Methods Evaluate not only algorithms & models but also available tools & technologies in the market to maximize organizational spend. Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI/ML applications that scale from multi-user to enterprise class. Analyse marketplace trends - economical, social, cultural and technological - to identify opportunities and create value propositions. Offer a global perspective in stakeholder discussions and when shaping solutions/recommendations Analyse marketplace trends - economical, social, cultural and technological - to identify opportunities and create value propositions. Offer a global perspective in stakeholder discussions and when shaping solutions/recommendations IT Skills & Experience Thorough understanding of complete AI/ML project life cycle to establish processes & provide guidance & expert support to the team. Expert knowledge of emerging technologies in Deep Learning and Reinforcement Learning Knowledge of MLOps process for efficient management of the AI/ML projects. Must have lead project execution with other data scientists/ engineers for large and complex data sets Understanding of machine learning algorithms, such as k-NN, GBM, Neural Networks Naive Bayes, SVM, and Decision Forests. Experience in the AI/ML components like Jupyter Hub, Zeppelin Notebook, Azure ML studio, Spark ML lib, TensorFlow, Tensor flow,Keras, Py-Torch and Sci-Kit Learn etc Strong knowledge of deep learning with special focus on CNN/R-CNN/LSTM/Encoder/Transformer architecture Hands-on experience with large networks like Inseption-Resnets,ResNeXT-50. Demonstrated capability using RNNS for text, speech data, generative models Working knowledge of NoSQL (GraphX/Neo4J), Document, Columnar and In-Memory database models Working knowledge of ETL tools and techniques, such as Talend,SAP BI Platform/SSIS or MapReduce etc. Experience in building KPI /storytelling dashboards on visualization tools like Tableau/Zoom data People Skills: Professional and open communication to all internal and external interfaces.Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing cultureStrong analytical skills. Industry Specific Experience: 10 -18 Years of experience of AI/ML project execution and AI/ML research Education Qualifications, Accreditation, Training Master or Doctroate degree Computer Science Engineering/Information Technology /Artificial Intelligence Moving forward together Were committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, theres a path for you here. And theres no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change.

Requirements & Qualifications: Bachelors or Masters degree in a relevant field such as Computer Science, Data Science, Statistics, or a related quantitative discipline. Querying data from structured (SQL) and unstructured data stores; advanced scripting techniques using Python; optimizing code for performance, scalability, and readability; and using statistics and machine learning. 3-6 years of proven experience as a Data Scientist, with a track record of successful project delivery and demonstrated impact on business outcomes in domains related to CPG/Tech/Healthcare. Expertise in Python programming, including libraries such as NumPy, Pandas, scikit-learn, and others commonly used in data analysis and machine learning. Hands-on experience developing and deploying machine learning models in real-world applications. Strong understanding of deep learning techniques, especially in the domains of computer vision or ML is good to have. Familiarity with PySpark and Databricks is a plus. Excellent problem-solving skills and the ability to work collaboratively in a fast-paced, team-oriented environment. Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders.Role & responsibilities

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

About The Role Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions ? Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options c. Integrate model performance management tools into the current business infrastructure 3. Team Management a. Resourcing i. Support recruitment process to on-board right resources for the team b. Talent Management i. Support on boarding and training for the team members to enhance capability & effectiveness ii. Manage team attrition c. Performance Management i. Conduct timely performance reviews and provide constructive feedback to own direct reports ii. Be a role model to team for five habits iii. Ensure that the Performance Nxt is followed for the entire team d. Employee Satisfaction and Engagement i. Lead and drive engagement initiatives for the team ? Deliver No. Performance Parameter Measure 1. Demand generation Order booking 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management % trained on new skills, Team attrition % ? ? Mandatory Skills: Python for Data Science. Experience8-10 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

About The Role Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions ? Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options c. Integrate model performance management tools into the current business infrastructure 3. Team Management a. Resourcing i. Support recruitment process to on-board right resources for the team b. Talent Management i. Support on boarding and training for the team members to enhance capability & effectiveness ii. Manage team attrition c. Performance Management i. Conduct timely performance reviews and provide constructive feedback to own direct reports ii. Be a role model to team for five habits iii. Ensure that the Performance Nxt is followed for the entire team d. Employee Satisfaction and Engagement i. Lead and drive engagement initiatives for the team ? Deliver No. Performance Parameter Measure 1. Demand generation Order booking 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management % trained on new skills, Team attrition % ? ? Mandatory Skills: Data Science. Experience5-8 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Role & responsibilities We are looking for Data Scientist position with US MNC company for permanent role, Remote. Preferred candidate profile Mandatory Skills : 5 Years + relevant experience in data science. Experience in RAG implementation pipeline. Experience with AI/ML Frameworks like TensorFlow, PyTorch, or similar. Proficiency in Programming Languages such as Python, SQL, and other relevant languages. Experience in the Financial Services Industry and an understanding of compliance standards. (Preferred) Experience with Master data management, Data Wrangling and ETL Processes. Experience with data and AI/ML Technologies: Such as NLP/NLU, Azure Cognitive Services, Azure Synapse Analytics, Azure data bricks and Azure ML service. Certification in Data Science or AI/ML.

The Role and Responsibilities We have open positions ranging from Data Scientist to Director, providing talented and motivated professionals with excellent career and growth opportunities. We seek individuals with relevant prior experience in quantitatively intense areas to join our team. Youll be working with varied and diverse teams to deliver unique and unprecedented solutions across all industries. In the data scientist track, you will be primarily responsible for managing and delivering analytics projects and helping teams design analytics solutions and models that consistently drive scalable high-quality solutions. Your responsibilities will include Working alongside Oliver Wyman consulting teams and partners, engaging directly with global clients to understand their business challenges Exploring large-scale data and crafting models to answer core business problems Working with partners and principals to shape proposals that showcase our data science and analytics capabilities Explaining, refining, and crafting model insights and architecture to guide stakeholders through the journey of model building Advocating best practices in modelling and code hygiene Leading the development of proprietary statistical techniques, ML algorithms, assets, and analytical tools on varied projects Travelling to clients locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them Keeping up with emerging state-of-the-art modelling and data science techniques in your domain Your Attributes, Experience & Qualifications Bachelor's or Masters degree in a quantitative discipline from a top academic program (Data Science, Mathematics, Statistics, Computer Science, Informatics, and Engineering) Prior experience in data science, machine learning, and analytics Passion for problem-solving through big-data and analytics Pragmatic and methodical approach to solutions and delivery with a focus on impact Independent worker with the ability to manage workload and meet deadlines in a fast-paced environment Impactful presentation skills that succinctly and efficiently convey findings, results, strategic insights, and implications Excellent verbal and written communication skills and complete command of English Willingness to travel Collaborative team player Respect for confidentiality Technical Background Proficiency in modern programming languages (Python is mandatory; SQL, R, SAS desired) and machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) Prior experience in designing and deploying large-scale technical solutions leveraging analytics Solid foundational knowledge of the mathematical and statistical principles of data science Familiarity with cloud storage, handling big data, and computational frameworks Valued but not required: Compelling side projects or contributions to the Open-Source community Experience presenting at data science conferences and connections within the data science community Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence Interview Process The application process will include testing technical proficiency, case study, and team-fit interviews. Please include a brief note introducing yourself, what youre looking for when applying for the role, and your potential value-add to our team. Roles and levels In addition to the base salary, this position may be eligible for performance-based incentives. We offer a competitive total rewards package that includes comprehensive health and welfare benefits as well as employee assistance programs.

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

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

!!Mega Walk In Drive!! Hiring Data Scientist (Walk In Interview) 4D Global Medical Billing Services Minimum 2 years of Experience in data science, machine learning, and AI model training. Strong skills in Python, TensorFlow, Hugging Face Transformers, and Google Vertex AI. Prior experience in RCM, healthcare data, or insurance analytics is a strong plus. CONTACT PERSON - HR Lissy(9952221050)HR Sneha(9344656213)HR Naveen(6381271323)

Hiring Data Scientist (Walk In Interview) 4D Global Medical Billing Services Experience in data science, machine learning, and AI model training. Strong skills in Python, TensorFlow, Hugging Face Transformers, and Google Vertex AI. Prior experience in RCM, healthcare data, or insurance analytics is a strong plus. Contact HR SYED-9962212606 HR VARUN- 9280098220

Role : Principal Data Scientist / LLM Specialist Responsibilities : 1. Strategic Leadership :a. Define and drive the overall data science strategy and roadmap for the organization, aligning it with business objectives and technical capabilities.b. Oversee the design, development, and implementation of data science solutions.c. Foster a culture of innovation and continuous improvement within the data science team. 2. Data Strategy :a. Develop and deploy advanced data science models and algorithms, including LLMs, to solve complex business problems. Identify, acquire, and curate high-quality datasets relevant ML tasks.b. Design and implement data preprocessing, cleaning, and augmentation techniques.c. Leverage LLMs to extract deeper insights from data, including unstructured text and natural language data. 3. Data-Driven ML Development :a. Collaborate with LLM experts to integrate LLMs into data science pipelines and applications. b. Optimize LLM performance for specific tasks and domains.c. Apply advanced data mining and machine learning techniques to extract valuable insights.d. Evaluate ML performance using rigorous data-driven metrics. 4. ML Data Visualization and Analysis :a. Develop data visualizations and analysis techniques to understand ML Al behavior and performance.b. Identify trends, patterns, and anomalies in data. Explore new applications of LLMs in data science, such as LLM-powered recommendation systems, predictive analytics, and anomaly detection.c. Communicate data-driven insights to stakeholders effectively. Minimum Required Skills :- 11+ years of experience preferred. - Advanced degree in computer science, data science, or a related field.- Deep understanding of LLM architectures, algorithms, and techniques.- Strong experience in Python, SQL. - Should be extremely comfortable with Numpy, Pandas, Matplotlib and Scikit learn python libraries- Strong understanding of machine learning concepts and algorithms. Should know deep learning techniques such as clustering, decision trees, random forest, etc. - Knowledge on text classification, sentiment analysis, named entity recognition, machine translation, text summarization and question-answering is must.- Experience with LLM frameworks (Hugging Face Transformers, TensorFlow, PyTorch)- Experience with data labeling and annotation tools. - Certifications in cloud platforms or ML technologies can be a plus.- Proficient knowledge of cloud platforms (AWS, GCP, Azure).- Strong problem-solving and analytical skills.- Ability to work in team-oriented, collaborative environment. Data Scientist- Statistician- Data Engineer- Python- R- Supervised & Unsupervised learning- Machine Learning Algorithms- Deep Learning- Hugging Face- Natural Language Processing (NLP)- Computer Vision- TensorFlow- PyTorch- Scikit-learn- Transformers- LLM Frameworks- LLM Models- GPT -3, 4o- BERT- Llama

Role : Principal Data Scientist / LLM Specialist Responsibilities : 1. Strategic Leadership :a. Define and drive the overall data science strategy and roadmap for the organization, aligning it with business objectives and technical capabilities.b. Oversee the design, development, and implementation of data science solutions.c. Foster a culture of innovation and continuous improvement within the data science team. 2. Data Strategy :a. Develop and deploy advanced data science models and algorithms, including LLMs, to solve complex business problems. Identify, acquire, and curate high-quality datasets relevant ML tasks.b. Design and implement data preprocessing, cleaning, and augmentation techniques.c. Leverage LLMs to extract deeper insights from data, including unstructured text and natural language data. 3. Data-Driven ML Development :a. Collaborate with LLM experts to integrate LLMs into data science pipelines and applications. b. Optimize LLM performance for specific tasks and domains.c. Apply advanced data mining and machine learning techniques to extract valuable insights.d. Evaluate ML performance using rigorous data-driven metrics. 4. ML Data Visualization and Analysis :a. Develop data visualizations and analysis techniques to understand ML Al behavior and performance.b. Identify trends, patterns, and anomalies in data. Explore new applications of LLMs in data science, such as LLM-powered recommendation systems, predictive analytics, and anomaly detection.c. Communicate data-driven insights to stakeholders effectively. Minimum Required Skills :- 11+ years of experience preferred. - Advanced degree in computer science, data science, or a related field.- Deep understanding of LLM architectures, algorithms, and techniques.- Strong experience in Python, SQL. - Should be extremely comfortable with Numpy, Pandas, Matplotlib and Scikit learn python libraries- Strong understanding of machine learning concepts and algorithms. Should know deep learning techniques such as clustering, decision trees, random forest, etc. - Knowledge on text classification, sentiment analysis, named entity recognition, machine translation, text summarization and question-answering is must. - Experience with LLM frameworks (Hugging Face Transformers, TensorFlow, PyTorch)- Experience with data labeling and annotation tools.- Certifications in cloud platforms or ML technologies can be a plus.- Proficient knowledge of cloud platforms (AWS, GCP, Azure). - Strong problem-solving and analytical skills.- Ability to work in team-oriented, collaborative environment. Data Scientist- Statistician- Data Engineer- Python- R- Supervised & Unsupervised learning- Machine Learning Algorithms- Deep Learning- Hugging Face- Natural Language Processing (NLP)- Computer Vision- TensorFlow- PyTorch- Scikit-learn- Transformers- LLM Frameworks- LLM Models- GPT -3, 4o- BERT- Llama

Responsibilities: Transform raw and unstructured data into structured, actionable formats for analysis and reporting. Write, optimize, and maintain SQL queries and stored procedures to ensure efficient data retrieval and processing. Design and implement complex SQL queries, including Common Table Expressions (CTEs), window functions, recursive queries, dynamic pivoting and joins, to extract actionable insights from large datasets efficiently. Design, develop, and maintain databases and data pipelines to support analytics and reporting needs. Perform data engineering tasks, including data ingestion, cleaning, and preprocessing. Conduct exploratory data analysis (EDA) to uncover trends, patterns, and insights. Develop and implement machine learning (ML) models and natural language processing (NLP) solutions to solve business challenges. Build and monitor key performance indicators (KPIs) for dashboards and reporting tools. Create wireframes and collaborate with stakeholders to design intuitive data visualizations and dashboards. Ensure data integrity and perform quality checks to maintain high standards of accuracy and reliability. Collaborate with cross-functional teams to align data initiatives with business goals. Manage data science projects from ideation to deployment, ensuring timely delivery and measurable impact. Communicate findings and insights effectively through presentations and reports to technical and non-technical audiences/ stakeholders. Utilize statistical modelling and data mining techniques to drive decision-making and strategy. Must-Have Skills: Proficiency in SQL and Python/R for data manipulation and analysis. Experience with Machine Learning (ML) and NLP techniques. Strong understanding of EDA and statistical modelling. Hands-on experience with Google Cloud Platform (GCP) and Vertex AI. Excellent communication and presentation skills. Solid grasp of data engineering principles, including ETL processes. Good-to-Have Skills: Knowledge of data mining techniques. Knowledge of generative AI tools and frameworks for tasks such as synthetic data generation and data augmentation. Familiarity with dashboard wireframe creation tools and methods. Ability to build or derive KPIs for visualization dashboards. Expertise in Excel for advanced calculations and analysis. Background in project management, including Agile or similar methodologies. Experience in cross-functional team collaboration. Hands-on experience fine-tuning or deploying pre-trained Gen AI models (e.g., Hugging Face Transformers, OpenAI APIs).

Description Are you excited about developing state-of-the-art Machine Learning, Natural Language Processing, designs using large data sets to solve real world problemsDo you want to build a foundation for your career after your Bachelors or Masters or Ph D program at an industry-leading companyYou enjoy the prospect of solving real-world problems that, quite frankly, have not been solved at scale anywhere before Along the way, you'll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver someone who truly enables machine learning to create significant impacts you will bring statistical modeling and machine learning advancements for customer-facing solutions in complex industrial settings You will be working in a fast-paced, cross-disciplinary team who are leaders in the field You will take on challenging problems, distill real requirements, and then deliver solutions that either leverage existing academic and industrial research, or utilize your own out-of-the-box pragmatic thinking In addition to coming up with novel solutions and prototypes, you may even need to deliver these to production in customer facing products Basic Qualifications Currently enrolled in degree program (Bachelors or MS/ Mtech ,MCA.) Engineering ,Computer Science, Mathematics, or related field with specialization in machine learning, NLP, ASR, deep learning, computer vision, data science or related fields. working knowledge of programming languages such as Python (SciPy, RPy2, etc). Preferred Skill NLP, Python, React, Mongo Responsibilities include: Design, Develop, Maintain ReactJS WebApp

Job Description Blend is hiring a Senior Data Scientist (Generative AI) to spearhead the development of advanced AI-powered classification and matching systems on Databricks. You will contribute to flagship programs like the Diageo AI POC by building RAG pipelines, deploying agentic AI workflows, and scaling LLM-based solutions for high-precision entity matching and MDM modernization. Key Responsibilities Design and implement end-to-end AI pipelines for product classification, fuzzy matching, and deduplication using LLMs, RAG, and Databricks-native workflows . Develop scalable, reproducible AI solutions within Databricks notebooks and job clusters , leveraging Delta Lake, MLflow, and Unity Catalog. Engineer Retrieval-Augmented Generation (RAG) workflows using vector search and integrate with Python-based matching logic. Build agent-based automation pipelines (rule-driven + GenAI agents) for anomaly detection, compliance validation, and harmonization logic. Implement explainability, audit trails, and governance-first AI workflows aligned with enterprise-grade MDM needs. Collaborate with data engineers, BI teams, and product owners to integrate GenAI outputs into downstream systems. Contribute to modular system design and documentation for long-term scalability and maintainability. Qualifications Bachelor s/Master s in Computer Science, Artificial Intelligence, or related field. 5+ years of overall Data Science experience with 2+ years in Generative AI / LLM-based applications. Dee

As an Applied AI ML Associate Senior at JPMorgan Chase within the Asset & Wealth Management, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Supports and a ctively collaborate with Product, Technology, and other cross-functional teams to gain a deep understanding of complex business problems and formulate data-driven solutions to address these challenges in key areas of the payments domain. Design, develop, and deploy machine learning and AI solutions that meet success metrics aligned with business goals, while considering constraints such as model complexity, scalability, and latency. Advises and makes custom configuration changes in one to two tools to generate a product at the business or customer request Updates logical or physical data models based on new use cases. Partner with Risk and Compliance teams to ensure comprehensive model documentation, track performance metrics, and maintain adherence to regulatory compliance standards. Adds to team culture of diversity, equity, inclusion, and respect. Translate model outcomes into business impact metrics and communicate complex concepts to senior management and stakeholders. Required qualifications, capabilities, and skills Formal training or certification on data science concepts and 2+ years applied experience Experience with Shell Scripting, Jupyter notebook/Lab, SQL, PySpark, and AWS Cloud Services is required. Proficient in Python with hands-on experience in Machine learning and Deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., NumPy, Scikit-Learn, Pandas). Experience with Jupyter Notebook/Lab is essential. Extensive experience in Natural Language Processing (NLP) or Large Language Models (LLM),or Computer Vision and other machine learning techniques, including classification, regression algorithms. Solid Understanding of algorithms in machine learning, AI, and neural network, including Large Language Models (LLM) and Generative AI as well as familiarity with state-of-the-art practices and advancements in these domains. Proficient in both basic and advanced exploratory data analysis (EDA), with an understanding of the limitations and implications of different methodologies. Ability to set the analytical direction for projects, transforming vague business questions into structured analytical plans. You possess strong cognitive and communication skills, characterized by clear and articulate expression. You excel at identifying core issues, bringing order to chaos, synthesizing insights, and driving decisive outcomes. Preferred qualifications, capabilities, and skills Familiarity working with one or more LLM frameworks like langchain / llamaindex / langgraph / crewAI Familiarity with one or more python API frameworks like FastAPI/Flask/Django