75,786 Data Scientist Jobs

Location - LTIM Pan IndiaExperience - 5+to 12+ yrsGeneric JD-Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS/GCP, 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 DeploymentJD_ More than 6 years of experience in Data Engineering, Data Science and AI / ML domainExcellent 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 assetAnalytical 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 databasesGood understanding of applied statistics skills, such as distributions, statistical testing, regression, etc.Should be a data-oriented person with analytical mind and business acumen.

Job Description Data Scientist Role: Data Scientist Experience: 3-4 years Location: Gurgaon (Hybrid) Role Overview We are seeking a Data Scientist with 34 years of experience in AI/ML and Deep Learning. The role involves building and deploying models for prediction, anomaly detection, NLP, and industrial analytics (predictive maintenance). You will work with cross-functional teams to design scalable pipelines and deliver data-driven solutions that create measurable business impact.  Key Responsibilities: Develop and deploy AI/ML and Deep Learning models for regression, classification, clustering, anomaly detection, and forecasting. Apply Neural Networks, CNNs, RNNs, LSTMs, Transformers, and Autoencoders for solving business problems. Work on NLP techniques (BERT, GPT-based models, text similarity, embeddings, topic modeling). Build predictive analytics and optimization pipelines for industrial/manufacturing domains (predictive maintenance). Perform exploratory data analysis (EDA), feature engineering, and statistical validation. Required Skills Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, Keras). 3-4 years of hands-on experience in AI/ML model development. Expertise in Deep Learning architectures (CNN, RNN, LSTM, Transformer-based models). Solid background in statistical analysis, hypothesis testing, and probability models. Strong knowledge of SQL/Databases (PostgreSQL, InfluxDB) for data extraction and processing. Candidate can be apply from Delhi/NCR  Regard, Ruchi Maurya Talent Acquisition Team 9971720679

Required Skills & Qualifications Hands-on experience with time series analysis and cost modelling. Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. Knowledge of optimisation algorithms and business strategy modelling.

As a Data Scientist & Agentic AI Developer at CirrusLabs, your role will involve designing, developing, and evaluating intelligent AI agents to deliver high-quality, reliable, and compliant solutions. Your expertise in data science, AI/ML engineering, and hands-on experience building agentic systems will be crucial for this position. **Key Responsibilities:** - Design and develop agentic AI systems powered by Large Language Models (LLMs) with tool-calling capabilities - Build and optimize multi-step reasoning workflows and agent orchestration frameworks - Implement retrieval-augmented generation (RAG) pipelines for knowledge-intensive applications - Integrate external tools, APIs, and databases into agent workflows - Deploy and monitor production-grade AI agents at scale **Experience Required:** - 5-6 years of professional experience in data science, machine learning, and AI development **Required Skills & Qualifications:** - **Technical Expertise Programming:** Strong proficiency in Python; experience with AI/ML frameworks (Lang Chain, Lang Smith, Phoenix, or similar) - **LLM Expertise:** Hands-on experience with GPT, Claude, or other frontier models; prompt engineering and fine-tuning - **Machine Learning:** Deep understanding of NLP, deep learning architectures, and model evaluation - **Tools & Platforms:** Experience with MLOps tools, vector databases, and observability platforms - **Data Engineering:** Proficiency in SQL, data pipelines, and ETL processes **Domain Knowledge:** - Understanding of agentic AI architectures and autonomous systems - Knowledge of RAG systems and information retrieval techniques - Familiarity with LLM evaluation methodologies and benchmarks - Experience with conversational AI and dialogue systems - Understanding of AI safety, alignment, and interpretability **Evaluation & Metrics:** - Experience designing evaluation rubrics and scoring systems - Proficiency with automated evaluation frameworks (RAGAs, custom evaluators) - Understanding of quality metrics: coherence, fluency, factual accuracy, hallucination detection - Knowledge of performance metrics: latency optimization, token usage, throughput analysis - Experience with user experience metrics (CSAT, NPS, turn count analysis) **Soft Skills:** - Strong analytical and problem-solving abilities - Excellent communication skills for cross-functional collaboration - Ability to balance innovation with practical constraints - Detail-oriented with a focus on quality and reliability - Self-driven with the ability to work in fast-paced environments **Preferred Qualifications:** - Experience with compliance frameworks and regulatory requirements - Background in conversational AI or chatbot development - Knowledge of reinforcement learning from human feedback (RLHF) - Experience with multi-modal AI systems - Tools & Technologies Frameworks: Lang Chain, Lang Smith, Phoenix, TensorFlow, PyTorch - LLM Platforms: OpenAI API, Anthropic Claude, Azure OpenAI - Databases: Vector databases (Pinecone, Weaviate, Chroma), PostgreSQL, MongoDB - Monitoring: Lang Smith, Phoenix, custom observability tools - Cloud: AWS/Azure/GCP experience preferred - Version Control: Git, CI/CD pipelines At CirrusLabs, you will be instrumental in delivering production-ready agentic AI systems with measurable quality improvements, comprehensive evaluation frameworks with automated scoring, performance dashboards, reporting systems, and documentation for technical specifications and compliance standards. Your role will involve continuous improvement strategies based on data-driven insights.,

Role Overview: As a Senior Analyst, Internal Audit AML/BSA Data Scientist at Synchrony, you will be a key member of the Internal Audit team, reporting to the VP of Internal Audit Compliance and Risk Management. Your role involves leveraging data science and data engineering to support AML/BSA audit activities. You will be responsible for creating advanced analytics solutions to enhance decision-making processes and provide robust data analytics support to the audit team. Your innovative solutions will improve audit efficiency, automate processes, and generate actionable insights, working closely with audit professionals and stakeholders to drive continuous improvement in AML/BSA audit practices. Key Responsibilities: - Deliver advanced analytics to support AML/BSA audit activities, including cycle audits, issue validation, remediation activities, and special projects. - Design and deploy analytic scripts and dashboards to communicate actionable insights to audit stakeholders. - Ensure the accuracy and integrity of data used in AML engagements through data transformation techniques. - Deploy automation on repetitive audit tasks using data analytics and data engineering techniques. - Collaborate with the Internal Audit team and remediation teams to understand audit test objectives, data requirements, and integrate data insights into action plans. - Lead data analytics from beginning to end, including ideation, data mining, strategy formulation, and presentation of results and recommendations. Qualifications Required: - Bachelor's degree in Engineering, Computer Science, Data Science, or related fields with a minimum of 3+ years of experience in writing and optimizing SQL/SAS queries in a business environment. In lieu of a degree, 5+ years of experience in the same. - Knowledge of data warehouse technical architecture, ETL, and analytic tools for extracting unstructured and structured data. - Proficiency in coding with Python, experience with visualization software like Tableau or Power BI, and managing, moving, and manipulating data from multiple sources. - Familiarity with segmentation techniques and model development techniques. - Ability to provide analytic support, interpret data, make strategic recommendations, and present to key stakeholders. - Strong communication, relationship building, influencing, collaboration, and project management skills. - Ability to work independently, multitask, and prioritize projects effectively. Additional Company Details: Synchrony, a premier consumer financial services company, offers a complete digitally enabled product suite across various industries. The company has been recognized for its inclusive workplace culture, career advancement opportunities, and employee benefits that prioritize work-life integration and overall well-being. As a remote position, you will have the flexibility to work from home, with occasional in-person engagement activities at the nearest office for team meetings, training, and culture events. Grade/Level: L09 Work Timings: 3:00 PM to 12:00 AM IST Eligibility Criteria: - Bachelor's degree in Engineering, Computer Science, Data Science, or related fields with a minimum of 3+ years of experience in writing and optimizing SQL/SAS queries in a business environment. In lieu of a degree, 5+ years of experience in the same. - Enhanced Flexibility and Choice offered in Synchrony India, requiring availability between 06:00 AM Eastern Time and 11:30 AM Eastern Time for meetings with India and US teams, with flexible remaining hours for the employee to choose.,

As an experienced Data Scientist at our company based in Hyderabad, your role will involve developing and deploying advanced AI/ML models to solve complex business problems. You will work on designing, building, and optimizing machine learning models, collecting, preprocessing, and analyzing large datasets, creating data visualizations and dashboards, collaborating with cross-functional teams, deploying AI/ML models into production, and maintaining comprehensive documentation of models and processes. Key Responsibilities: - Develop Models: Design, build, and optimize machine learning models. - Data Analysis: Collect, preprocess, and analyze large datasets. - Data Representation: Create data visualizations and dashboards to communicate findings. - Collaborate: Work with cross-functional teams to define project requirements and deliverables. - Deploy & Maintain: Deploy AI/ML models into production and ensure their performance, accuracy, and efficiency. - Document: Maintain comprehensive documentation of models and processes. Qualifications: - Education: Bachelors/Masters in Computer Science, Data Science, AI, or related field. - Experience: 6+ years in a development role with 2+ years in AI/ML model development. - Technical Skills: - Proficiency in Python or R. - Experience with TensorFlow, Keras, PyTorch, Scikit-learn. - Knowledge of big data technologies and databases. - Leadership: Proven leadership and mentorship abilities. - Analytical & Communication Skills: Strong problem-solving, verbal, and written communication skills. If you are passionate about developing and deploying AI/ML models, have the required educational background and technical skills, and possess strong leadership and communication abilities, we encourage you to send your resume to recruitment@5exceptions.com.,

Role Overview: As a Data Scientist, RWD at Novartis, you will have the opportunity to work on advanced data science initiatives leveraging the global data42 platform. This platform houses high-quality, multimodal preclinical, clinical, and external real-world data (RWD), including genetic, omics, and imaging data. Your role will involve driving the discovery and development of life-changing medicines by integrating AI/ML approaches across biomedical research and drug development. If you are enthusiastic about unlocking health insights from diverse real-world data, this role is perfect for you. Key Responsibilities: - Champion advanced analytics and AI/ML applications to mine RWD for novel clinical and translational insights, including genetic and imaging modalities. - Collaborate with researchers to address complex scientific questions such as biomarker discovery, digital phenotype identification, and accelerating scientific insights. - Work on methodology advancement and strategic projects across disease areas by integrating multimodal data for maximum impact. - Execute AI/ML projects focused on mining RWD, including genomic and imaging modalities, for exploratory and hypothesis-driven analysis. - Co-create analytic solutions with stakeholders in R&D, Biomedical Research, and external partners. - Drive capability development for integrating new RWD with genetic modalities and imaging analytics within real-world evidence projects. - Support feasibility, design, and conduct of scientific evidence generation studies using RWD for patient outcomes and Novartis R&D vision. - Represent Novartis/data42 in internal and external forums to share innovations and insights. Qualifications Required: - PhD, MD, or equivalent advanced degree in a quantitative field such as computer science, genetics, statistics, biomedical engineering, or epidemiology. - 5+ years of experience in quantitative/data science roles within life sciences, with deep expertise in AI/ML applied to RWD, genomics/omics, and medical imaging. - Strong programming skills in Python, R (optional), SQL, Spark, and analytics platforms. - Deep understanding of evidence generation methodologies, advanced analytics, and pharmaceutical product development lifecycle. - Proven expertise in integrating and analyzing multi-modal RWD for medical evidence generation. Company Details: Novartis is committed to building an outstanding, inclusive work environment and diverse teams that are representative of the patients and communities served. If you are passionate about using data science to make a meaningful impact in healthcare, Novartis is the place for you. (Note: Company-specific details were not included in the provided job description.),

Role Overview: The Product Operations Business Intelligence (BI) team at Cisco is at the core of the Supply Chain organization, focusing on utilizing data for real-world decision-making. As a Data Scientist in this team, you will contribute to solving complex data problems and designing AI solutions to drive large-scale transformation programs within the supply chain. Key Responsibilities: - Partner with business units and supply chain stakeholders to understand analytics needs and develop scalable AI solutions. - Design, develop, and implement intuitive models and AI solutions. - Lead supply chain transformation analytics, from POCs to production solution deployment. - Collaborate with architects, business partners, and IT to define use cases and design data-driven capabilities for tangible business outcomes. Qualifications Required: - Bachelors or masters degree in computer science, Data Science, AI/ML, or related field. - 6+ years of experience in data science or applied machine learning roles, preferably in supply chain, operations, or manufacturing domains. - Hands-on experience with Large Language Models (LLMs), Transformer architectures, and fine-tuning models to domain-specific needs. - Experience in generative AI models using frameworks like Hugging Face, LangChain, Lang Smith, Lang graph, or OpenAI APIs, Llama index. - Proficiency in building AI Agents and advanced concepts such as Agent2Agent (A2A) Model context protocol (MCP) for Gen AI solutions. Additional Company Details: Cisco is revolutionizing how data and infrastructure connect and protect organizations in the AI era and beyond. With a history of fearless innovation spanning 40 years, Cisco creates solutions that empower the collaboration between humans and technology in physical and digital worlds. The company's solutions offer unparalleled security, visibility, and insights across the entire digital footprint. Cisco fosters a culture of experimentation and collaboration, providing vast opportunities for growth and development on a global scale. Cisco believes in teamwork and empathy-driven collaboration to drive impactful solutions worldwide. Cisco is a place where your contribution matters, and the possibilities are endless.,

Job Description: NTT DATA is looking for an AI Data Scientist - Digital Engineering Sr. Engineer to join their team in Hyderabad, Telangana (IN-TG), India (IN). As an AI Data Scientist, you will focus on Generative AI & LLMs and be responsible for designing and developing AI/ML models with a specific focus on LLMs such as GPT, LLaMA, Mistral, Falcon, and Claude. Your key responsibilities will include applying prompt engineering, fine-tuning, and transfer learning techniques to customize models for enterprise use cases. Additionally, you will work with vector databases and retrieval-augmented generation (RAG) pipelines for contextual response generation. Collaboration with data engineers, AI Engineers, and MLOps teams to deploy models in production environments is also a crucial part of this role. Qualifications Required: - Strong experience in designing and developing AI/ML models - Proficiency in working with LLMs such as GPT, LLaMA, Mistral, Falcon, Claude - Hands-on experience with prompt engineering, fine-tuning, and transfer learning techniques - Familiarity with vector databases and retrieval-augmented generation (RAG) pipelines - Ability to collaborate effectively with cross-functional teams including data engineers, AI Engineers, and MLOps teams About NTT DATA: NTT DATA is a $30 billion trusted global innovator of business and technology services. They serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize, and transform for long-term success. As a Global Top Employer, NTT DATA has diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Their services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is one of the leading providers of digital and AI infrastructure in the world. As part of NTT Group, they invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit their website at us.nttdata.com. Job Description: NTT DATA is looking for an AI Data Scientist - Digital Engineering Sr. Engineer to join their team in Hyderabad, Telangana (IN-TG), India (IN). As an AI Data Scientist, you will focus on Generative AI & LLMs and be responsible for designing and developing AI/ML models with a specific focus on LLMs such as GPT, LLaMA, Mistral, Falcon, and Claude. Your key responsibilities will include applying prompt engineering, fine-tuning, and transfer learning techniques to customize models for enterprise use cases. Additionally, you will work with vector databases and retrieval-augmented generation (RAG) pipelines for contextual response generation. Collaboration with data engineers, AI Engineers, and MLOps teams to deploy models in production environments is also a crucial part of this role. Qualifications Required: - Strong experience in designing and developing AI/ML models - Proficiency in working with LLMs such as GPT, LLaMA, Mistral, Falcon, Claude - Hands-on experience with prompt engineering, fine-tuning, and transfer learning techniques - Familiarity with vector databases and retrieval-augmented generation (RAG) pipelines - Ability to collaborate effectively with cross-functional teams including data engineers, AI Engineers, and MLOps teams About NTT DATA: NTT DATA is a $30 billion trusted global innovator of business and technology services. They serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize, and transform for long-term success. As a Global Top Employer, NTT DATA has diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Their services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is one of the leading providers of digital and AI infrastructure in the world. As part of NTT Group, they invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit their website at us.nttdata.com.

As a Senior Data Scientist at Deutsche India, you will be a part of the Service Solutions and AI Domain team, dedicated to revolutionizing the Private Bank process landscape through process automation and AI innovation. Your role will involve working on the full lifecycle of data science projects, from strategic problem framing and data acquisition to model deployment and performance monitoring. You will collaborate with cross-functional teams to identify transformative opportunities for data-driven and AI-powered solutions. **Key Responsibilities:** - **Strategic Problem Framing & Generative AI Opportunity Identification:** - Define and frame complex business problems into actionable data science questions. - Identify opportunities for Generative AI, LLMs, and Agentic AI to deliver business value. - **Advanced Data Management & Preparation:** - Oversee data acquisition, cleaning, and preprocessing of large datasets. - Ensure high data quality and readiness for ML and Generative AI applications. - **Statistical Foundation & Data Understanding:** - Apply statistical understanding to analyze and interpret data for robust insights. - Conduct exploratory data analysis to identify trends and formulate hypotheses. - **Cutting-Edge Algorithm & Generative Model Development:** - Drive research and implementation of ML algorithms, with a focus on Transformer architectures. - Develop and evaluate advanced ML and Generative AI models to solve business problems. - **Experimentation & Impact Measurement:** - Design and execute experiments to measure the impact of data-driven and Generative AI solutions. - **Effective Communication & MLOps Collaboration:** - Communicate analytical findings and recommendations to diverse audiences. - Collaborate with engineering teams for model deployment and monitoring. **Qualifications Required:** - **Educational Background:** - Graduates, Masters, or PhD in Computer Science, Statistics, Mathematics, or related fields. - **Professional Expertise:** - 8+ years of experience in a data scientist role. - **Technical Skills:** - Proficiency in Python, SQL, data analysis, and EDA. - Deep knowledge of statistical concepts and machine learning algorithms. - Specialization in Generative AI, LLMs, Transformer architectures, and MLOps. - Experience with data visualization tools and cloud platforms. Deutsche Bank offers a range of benefits, including leave policies, childcare assistance, industry certifications sponsorship, and comprehensive insurance coverage. As part of a culture of continuous learning and collaboration, you will have access to training, coaching, and support to excel in your career. The company promotes a positive, fair, and inclusive work environment where employees are empowered to excel together every day. For more information about Deutsche Bank and its values, please visit the company website: [Deutsche Bank Company Website](https://www.db.com/company/company.html).,

As a Data Scientist in this role, you will be responsible for extracting actionable insights from complex data using statistical analysis, machine learning, and data modeling to support strategic decision-making. Key Responsibilities: - Utilize Python for data analysis and manipulation - Implement machine learning algorithms for predictive modeling - Conduct model training and deployment processes - Apply computer vision techniques to extract information from visual data - Perform statistical analysis to derive meaningful conclusions - Create data visualizations to communicate findings effectively - Utilize SQL for data querying and manipulation - Work on a Cloud Platform, specifically Azure - Implement MLOps practices for efficient machine learning model deployment and management Qualifications Required: - Proficiency in Python for data analysis and scripting - Strong understanding and practical experience with machine learning algorithms - Experience in model training and deployment processes - Knowledge of computer vision techniques - Familiarity with LLM (Likelihood-Likelihood Matching) - Proficiency in statistical analysis methods - Ability to create clear and informative data visualizations - Proficient in SQL for data manipulation - Experience working on Cloud Platforms, particularly Azure - Familiarity with MLOps practices for managing machine learning models efficiently,

Role Overview: As a Senior Data Scientist at Deutsche India, you will be a key member of the Service Solutions and AI Domain team, dedicated to revolutionizing the Private Bank process landscape through the implementation of data-driven and AI-powered solutions. Your role will involve strategic problem framing, data management, algorithm development, experimentation, effective communication, continuous innovation, and knowledge sharing. You will collaborate with cross-functional teams to identify transformative opportunities for Generative AI, LLMs, and Agentic AI applications, and play a pivotal role in driving innovation, optimizing operations, and delivering exceptional value to customers. Key Responsibilities: - Define and frame complex business problems into actionable data science questions, exploring opportunities for Generative AI, LLMs, and Agentic AI - Identify and evaluate relevant data sources to address business and AI problems - Oversee data collection, cleaning, and preprocessing for traditional ML and Generative AI applications - Apply statistical understanding and conduct exploratory data analysis to interpret data and formulate hypotheses - Drive research, implementation, and evaluation of ML algorithms and Generative AI models, emphasizing Transformer-based architectures and LLMs - Design and execute experiments to measure the impact of data-driven and Generative AI solutions on business outcomes - Communicate analytical findings and recommendations to diverse audiences, collaborate with engineering teams for model deployment and monitoring - Continuously research new data science techniques, Generative AI models, and technologies to enhance organizational capabilities - Contribute to the data science and AI community within the company by sharing knowledge and mentoring junior team members Qualifications Required: - Graduates, Masters, or PhD in Computer Science, Statistics, Mathematics, Engineering, or related field - 8+ years of experience in a data scientist role with expertise in data understanding, statistical analysis, ML algorithms, and Generative AI - Proficiency in programming languages such as Python, R, SQL, etc. - Hands-on experience with statistical concepts, machine learning algorithms, and Generative AI models - Familiarity with MLOps practices, cloud platforms, big data technologies, and deep learning frameworks - Excellent communication, problem-solving, and leadership skills - Preferred experience in the Banking & Finance Domain Please note that the qualifications required mentioned above are just a summary and may not include all the criteria defined in the job description.,

As a Data Scientist at Micron Technology, you will have the opportunity to work in highly automated industrial manufacturing, analyzing terabytes and petabytes of diverse datasets using machine learning techniques. Your key responsibilities will include: - Growing your career as a Data Scientist with a strong focus on statistical modeling, feature extraction, and analysis. - Extracting data from various databases using SQL and other query languages and applying data cleansing techniques. - Developing strong software skills and working with advanced analytical methods like machine learning. - Enhancing your proficiency in Python, R, pySpark, SparkR, SparklyR, Hadoop, Teradata, Tensorflow, and other statistical software. - Gaining experience in time-series data, images, and semi-supervised learning. - Collaborating with Manufacturing Execution Systems (MES) and exploring data with frequently changing distributions. Additionally, familiarity with Machine Learning, Python, R, pySpark, SparkR, SparklyR, Hadoop, Teradata, Tensorflow, SSIS, ETL, Javascript, AngularJS 2.0, and Tableau will be beneficial for this role. Micron Technology, Inc. is a global leader in memory and storage solutions, dedicated to transforming the world's use of information to enrich lives. Micron's focus on technology leadership and operational excellence ensures the delivery of high-performance memory and storage products. By fueling the data economy, Micron enables advancements in artificial intelligence and 5G applications. If you are interested in applying for this role at Micron Technology, please visit micron.com/careers for more information. Remember, Micron prohibits the use of child labor and complies with all relevant labor standards. Candidates are encouraged to utilize AI tools to enhance their application materials, ensuring that all information provided is accurate and reflective of their true skills and experiences. Be cautious of unsolicited job offers and verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website.,

As an Associate Data Scientist at V4C.ai within the Astros division, you will be an integral part of our dynamic team, contributing to projects that push the boundaries of innovation and data analysis in the Astros domain. **Key Responsibilities:** - Support the collection, cleaning, and preprocessing of data to build robust datasets for analysis - Assist in the development and implementation of machine learning models and algorithms - Engage in exploratory data analysis to identify patterns and insights relevant to Astros projects - Collaborate with team members on various data science projects, contributing your fresh perspective and ideas - Participate in training sessions and workshops to further enhance your technical knowledge and skills - Provide support in documenting findings and presenting them to the team **Requirements:** - Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field - Knowledge of programming languages, particularly Python or R, is essential - Familiarity with data manipulation libraries such as Pandas and NumPy - Basic understanding of machine learning principles and practices - Possess strong analytical skills with a focus on detail and accuracy - A proactive attitude towards learning and professional development - Good communication skills and the eagerness to collaborate within a team environment - Willingness to work from our Pune office for hands-on training and experience If you join us, you will receive benefits such as Private Health Insurance, Paid Time Off, Work From Home option after 3 to 6 months of training in the Pune office, and access to Training & Development opportunities.,

You will be responsible for applying advanced forecasting methodologies to estimate sales and revenue for newly launched and pipeline pharmaceutical products. This will involve incorporating financial modeling and corporate finance principles into forecasting frameworks to support long-term strategic planning. You will need to develop robust, data-driven models that consider market dynamics, patient behavior, and competitive intelligence to generate accurate and actionable forecasts. Collaboration with marketing, commercial, and research teams is essential to ensure alignment of forecasts with strategic objectives and product positioning. Additionally, leveraging statistical, machine learning, and deep learning techniques will help uncover insights that inform launch strategies and optimize product performance. You will also partner with key business stakeholders to identify, scope, and execute predictive analytics initiatives that address critical business needs and deliver measurable value. It is important to maintain a strong understanding of the pharmaceutical landscape to provide objective, data-driven input into strategic decisions. Collaboration within the analytics team is key, as sharing knowledge and seeking feedback enhances the quality and impact of analytical deliverables. Staying current with emerging techniques and tools in predictive analytics ensures methodological rigor and adaptability in approach. Comfort with varied data sources and types is necessary to ensure seamless integration and analysis across structured and unstructured datasets. - Masters or Bachelor in Statistics, Economics, Data Sciences, Engineering, or quantitative related field. - Minimum of 5 years of working experience as a Data Scientist in the industry. - Deep and broad knowledge of Data Science methods and tools including Simulation model building principles, Machine Learning, and best practices: - Point Forecasting and Probabilistic Forecasting. - Agent-based Simulation Model using Anylogic. - Any type of simulation model experience (Good to have). - Statistical Forecasting: ARIMA, THETA, Exponential Smoothing. - ML-based Forecasting: GBM, LightGBM, XGBoost, Linear Regression. - DL-based Forecasting: DeepAR, NBEATS, LSTM, RNN. - Hierarchical Forecasting. - Cross-Validation: Rolling-window, Expanding-window, K-fold, Hold-out. - MLOps is also good to have skills. - Exposure to LLM or GPT good to have skills. You are expected to be strong in Python and SQL, with R & Java as a good-to-have. Strong communication skills are essential to bring Analytics to life by giving it zeal and making it applicable to the business. Keeping up-to-date on analytical, computational, and scientific advances is crucial to maximize your impact. An insatiable desire to learn, innovate, and challenge yourself for the benefit of patients is highly encouraged.,

Role Overview: As a visionary Senior Data Scientist at PibyThree Consulting Services Pvt Ltd, you will excel in machine learning and predictive analytics. Your main responsibility will be to lead the design, development, deployment, and optimization of data-driven products that have a high business impact, such as forecasting the price/value of stocks, commodities, or consumer goods (e.g., apparel, retail). You should have a track record of successfully taking machine learning models from concept to production, iteratively improving them based on user feedback and real-world performance, and thriving on delivering measurable results. Key Responsibilities: - End-to-End Product Ownership: Lead the development of predictive models from exploration and prototype to full-scale production deployment. - Prediction: Build robust regression and/or time-series and/or deep learning models to predict prices/values of financial assets, oil, apparel, and other commodities. - Model Optimization: Continuously monitor and fine-tune models for accuracy, performance, and scalability using real-time data feedback. - ML Ops & Deployment: Collaborate with engineering to ensure successful deployment and monitoring of models in production environments. - Stakeholder Collaboration: Translate business problems into analytical frameworks, working closely with product, strategy, and business teams. - Data Strategy: Define and manage pipelines and feature stores using structured and unstructured data sources. Qualification Required: - 8+ years of experience in data science, with a strong background in predictive analytics and machine learning. - Proven experience building and scaling ML models in production environments (not just notebooks or PoCs). - Deep expertise in Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, LightGBM, TensorFlow/PyTorch). - Strong knowledge of regression techniques, time-series forecasting, and feature engineering. - Experience in domains such as finance, commodities, retail pricing, or demand prediction is highly preferred. - Experience working with cloud platforms (Azure, AWS or GCP), Azure ML or Sagemaker, tools like Airflow, Docker, and MLflow. - Ability to define success metrics, conduct A/B tests, and iterate based on measurable KPIs. - Excellent communication and storytelling skills with both technical and non-technical stakeholders.,

Role Overview: You are looking for a highly experienced and versatile Data Scientist with a minimum of 5 years of experience, specializing in Generative AI. In this dual-role position, you will be involved in advanced data science and AI projects, specifically focusing on applications of Generative AI. Additionally, you will play a crucial role in training programs, workshops, and knowledge-sharing sessions. Key Responsibilities: - Possess strong hands-on expertise in Generative AI - Teach and mentor others in the field - Build and deploy AI models - Design engaging educational experiences - Work on cutting-edge projects - Contribute to educational initiatives - Share knowledge with others in the field Qualifications Required: - Minimum of 5 years of experience in Data Science - Specialization in Generative AI - Proven ability to teach and mentor others - Comfortable with building and deploying AI models - Strong communication and knowledge-sharing skills,

Role Overview: At Smart Working, we believe in providing a job opportunity that not only aligns with your skills on paper but also makes you feel at home every day. This is not just any remote job - it's about helping you find where you truly belong, regardless of your location. As soon as you join us, you become part of a supportive community that prioritizes your personal and professional growth. As a DP-100 certified Azure Data Scientist at Smart Working, you will play a crucial role in applying Machine Learning to create impactful solutions for our clients within the Azure ecosystem. Your expertise in Azure Machine Learning, Python (especially pandas and scikit-learn), and Azure SDKs will be instrumental in enhancing our data and productivity capabilities. Key Responsibilities: - Collaborate with business stakeholders to develop end-to-end machine learning solutions that meet operational and governance standards - Prepare and transform datasets using Python and Azure-native tools to ensure data quality and consistency throughout the ML lifecycle - Build, evaluate, and deploy models using AutoML, MLflow, and custom pipelines with a focus on performance, scalability, and maintainability - Implement monitoring and retraining strategies to detect drift and uphold model accuracy over time - Uphold responsible AI principles such as fairness, explainability, and privacy in all stages of model development - Work with cross-functional teams to integrate ML and AI solutions into business workflows for improved decision-making and productivity - Assist clients in maintaining and optimizing Azure ML environments for reproducible experimentation and efficient deployment - Contribute to MLOps implementation, including CI/CD pipelines, model registry management, and environment setup across different stages - Utilize tools like Azure DevOps, GitHub Actions, Azure Storage, and Power BI/Fabric to ensure solutions are ready for production and easily observable - Stay updated with emerging Azure AI technologies to enhance the organization's machine learning practices Qualifications Required: - Microsoft Certified: Azure Data Scientist Associate (DP-100) is mandatory - Minimum of 2 years of experience in applied machine learning or data science, with a track record of delivering production-grade ML solutions - Hands-on experience in designing, training, and deploying models using Azure Machine Learning (AML), AutoML, and MLflow - Proficiency in Python, pandas, and scikit-learn for feature engineering, model training, and validation - Ability to deploy models to real-time REST endpoints and orchestrate batch inference pipelines - Experience with MLOps practices, including CI/CD pipelines, model registries, and automated retraining - Understanding of Azure cloud and data engineering concepts, including compute, storage, and orchestration services - Strong collaboration, communication, and problem-solving skills to work effectively with technical and non-technical teams - Knowledge of responsible and ethical AI frameworks to ensure transparency and compliance in model development Additional Details: Smart Working offers benefits such as fixed shifts, no weekend work, day 1 benefits including laptop and full medical insurance, mentorship, and a supportive community where your contributions are valued. Join Smart Working to be a part of a culture that celebrates integrity, excellence, and ambition. If you resonate with our values and are passionate about making a difference through applied Machine Learning, we look forward to hearing from you.,

As a Data Scientist- Analyst/Senior Analyst, your role involves conducting insight reviews through advanced analytics using internal and external data sources. You will utilize sophisticated predictive modeling to understand necessary changes for improvement and consider impacts from operational and client change requests for benefit realization. Your responsibilities include leading the insight direction to align with operational strategy, collaborating with shared services MI teams to consolidate disparate data sets, and providing intelligent insights through data analysis for business and client requirements. Additionally, you will support senior management in formulating management information and insight to inform business decisions and budget assumptions. Key Responsibilities: - Conducting insight reviews through advanced analytics - Utilizing predictive modeling for improvement understanding - Considering impacts from operational and client change requests - Leading insight direction to align with operational strategy - Collaborating with shared services MI teams for data consolidation - Providing intelligent insights for business and client requirements - Supporting senior management in formulating management information and insight - Leading projects by analyzing data and converting it into actionable insights - Working with BI teams to deliver services to clients in a robust and governed manner - Flexibility to work in rotational shifts Qualifications Required: - Bachelor's Degree - 2-8 years of experience as a Data Scientist - Skills in Data Science, AI, ML, Python, AWS - Industry experience in ITES/BPO/KPO Please note the Job Code: GO/JC/1116/2025. In case of any queries, you can reach out to the recruiter Marilakshmi S.,

As a Lead Data Scientist at Deutsche India, you will play a pivotal role in driving the full lifecycle of data science projects, particularly focusing on Generative AI initiatives. Your responsibilities will include: - **Strategic Problem Framing & Generative AI Opportunity Identification**: - Lead the definition and framing of complex business problems into actionable data science questions. - Identify opportunities for Generative AI, Large Language Models (LLMs), and Agentic AI. - Identify relevant data sources to address business problems effectively. - **Advanced Data Management & Preparation for AI**: - Oversee data collection, cleaning, and preprocessing from various sources. - Ensure data quality and readiness for both traditional ML and advanced Generative AI applications. - **Cutting-Edge Algorithm & Generative Model Development**: - Drive research and implementation of suitable ML algorithms. - Focus on Transformer-based architectures and Large Language Models (LLMs). - Lead exploratory data analysis and generative model development and evaluation. - **Experimentation & Impact Measurement**: - Design and execute experiments to measure the impact of data-driven and Generative AI solutions. - **Effective Communication & MLOps Leadership**: - Communicate findings and recommendations to diverse audiences. - Lead the deployment, maintenance, and monitoring of data science and Generative AI models. - **Continuous Innovation & Collaborative Leadership**: - Research new data science techniques and Generative AI models. - Share knowledge within the data science and AI community. - Lead Agile ceremonies and foster collaboration with cross-functional teams. **Qualifications Required**: - Academic Background: Bachelors, Masters, or PhD in a quantitative field. - Leadership: 13+ years of experience in data science with a track record of leading technical initiatives. - Technical Proficiency: Expertise in Python, SQL, and data visualization tools. - Generative AI Specialization: Deep knowledge of Generative AI, LLMs, Transformer architectures, and specific model experience like the Gemini Model. - Leadership Skills: Exceptional communication, problem-solving, and strategic leadership abilities. If you are passionate about leveraging AI to drive innovation and deliver exceptional value, Deutsche Bank offers a range of benefits including best in class leave policy, parental leaves, reimbursement under childcare assistance benefit, sponsorship for certifications, and more. Deutsche Bank fosters a culture of continuous learning and collaboration, empowering employees to excel together and celebrate shared successes. They promote a positive, fair, and inclusive work environment, welcoming applications from all individuals. Visit their [website](https://www.db.com/company/company.html) to learn more about their commitment to excellence and teamwork.,