5,874 Data Scientist Jobs in Pune

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.

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.

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. ResponsibilitiesIdentify valuable data sources and automate collection processesUndertake preprocessing of structured and unstructured dataAnalyze large amounts of information to discover trends and patternsBuild predictive models and machine-learning algorithmsCombine models through ensemble modelingPresent information using data visualization techniquesPropose solutions and strategies to business challengesCollaborate with engineering and product development teams Other DetailsSalary-41,000/- to 75,000/-Required Experience-0 To 4 YearsMinimum Age-18 RequirementsQualification Required-BCA,MCA,BBA.MBA,PHD,PGDM,All GraduateBachelors degree (or equivalent) in statistics, applied mathematics, or related disciplineWork Department-Data ScientistWork Industry-IT,Automation,Banking,Finance,Education,Telecom,Skills-Proficiency with data mining, mathematics, and statistical analysisfor more clarification contact to this number-7428595632 Also Share Your CV -renuka.mns53@gmail.com RegardsHR Placement Team

As a Customer-Facing Data Scientist at Aera Technology, you will play a crucial role in collaborating closely with customers to troubleshoot issues, enhance deployed models, and optimize ML/AI systems for real-world performance. Your responsibilities will include investigating complex datasets, conducting extensive Exploratory Data Analysis (EDA), acting as the primary technical contact for Data Science issues, fine-tuning hyperparameters, articulating technical findings clearly to customers, and collaborating with cross-functional teams to implement comprehensive solutions. Key Responsibilities: - Investigate complex datasets to diagnose issues like model degradation, unexpected patterns, and data quality problems. - Conduct extensive Exploratory Data Analysis (EDA) to identify patterns, validate assumptions, and provide data-backed answers to critical business inquiries. - Act as the primary technical contact for Data Science issues, ensuring prompt responses, clear communication, and end-to-end ownership of problem resolution. - Fine-tune hyperparameters, retrain models, and implement algorithmic adjustments based on analytical insights. - Articulate technical findings clearly to customers and internal stakeholders, fostering trust through transparent and responsive communication. - Collaborate with support, product, engineering, and partner teams to implement comprehensive solutions, enhance processes, and ensure a positive customer experience. Qualifications Required: - Bachelors or Masters degree in Engineering, Computer Science, Mathematics, Statistics, Data Science, or a related quantitative field preferred. Equivalent practical experience and demonstrated skills will also be considered. - 2+ years of experience in data science or data analysis. - Hands-on experience developing, deploying, and maintaining machine learning models in production environments. - Proficiency in Python, SQL, and relevant ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch). - Strong analytical and problem-solving skills, with the ability to conduct rigorous data analysis and communicate findings clearly. - Demonstrated ability to work collaboratively in cross-functional teams and directly with customers to solve business problems. - Experience with data visualization tools. - Excellent communication skills, both written and verbal.,

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: You will be a skilled Data Scientist with expertise in Artificial Intelligence (AI), AI Agent development, and hands-on experience using RapidMiner to drive transformative insights from complex datasets. Your main responsibility will be to design, develop, and deploy AI-driven solutions and agents to optimize decision-making, enhance predictive capabilities, automate workflows, and unlock actionable insights with a focus on market and competitive intelligence. Key Responsibilities: - Develop and implement predictive models, machine learning algorithms, and AI solutions, and AI agents to solve business challenges. - Clean, preprocess, and analyze large-scale datasets (structured and unstructured) to extract meaningful patterns. - Implement reinforcement learning (RL), natural language processing (NLP), and multi-agent systems to solve complex industrial challenges. - Translate business requirements into modular, reusable AI agent architectures. - Build end-to-end AI agent pipelines, including data ingestion, model training, validation, and deployment in production environments. - Conduct testing and performance monitoring of AI agents to ensure scalability and reliability. - Collaborate closely with software engineers, product managers, and business stakeholders to integrate AI solutions into products and operations. - Document methodologies, findings, and model performance comprehensively to ensure reproducibility, transparency, and knowledge sharing across the organization. Qualifications: - Strong statistical analysis and problem-solving skills. - Ability to translate business requirements into technical solutions. - Excellent communication and teamwork skills. - Strong understanding of multi-agent systems, decision optimization, and autonomous learning. - Ability to design scalable, fault-tolerant AI architectures. - Innately curious, highly adaptable, and possessing strong intellectual curiosity with a continuous learning mindset. - Proactive problem-solver with a knack for identifying opportunities to leverage data and AI for business value. - Proven ability to present complex analytical findings clearly and concisely to both technical and non-technical stakeholders, utilizing data visualization tools. - Degree in Data Science, Computer Science, AI, or related field. - 3-5+ years of experience in AI/ML model development and deployment. - Proven expertise in RapidMiner and/or similar solutions for data preparation, modeling, and automation. - Proficiency in programming languages (Python, R, SQL). - Experience with big data tools (Snowflake, Spark, Hadoop). - Familiarity with agent-based modeling tools (e.g., LangChain, AutoGen, RLlib). - Practical experience with version control systems (e.g., Git) for collaborative code development and model management. - Experience with cloud platforms (e.g., AWS, Azure, GCP) for data storage, processing, and model deployment. - Demonstrated experience in deploying and managing machine learning models in production environments (MLOps). (Note: Omitted the section "Any additional details of the company if present in JD" as it was not part of the provided job description.),

As a dynamic global technology company, Schaeffler offers you a partner to all major automobile manufacturers, aerospace, and industrial sectors, providing numerous development opportunities. Your Key Responsibilities: - Research and define analytical models based on given data/information for analytical ad hoc feasibility cases or software development. - Collaborate with internal and/or external clients to understand business requirements. - Compile, sort, and organize function-specific information and data for subsequent analyses. - Conduct routine and instant data cleaning and testing, identifying and resolving data quality issues with the team. - Analyze data for feasibility cases and proofs of concepts. - Contribute actively to research and define analytical models for product transfer. Your Qualifications: - Graduate Degree in Business Informatics, Applied Computer Science, Mathematics, Software Engineering, Machine Learning. - 3 to 5 years of experience. As a global company, Schaeffler values treating each other with respect, appreciating differences to inspire creativity and drive innovation to contribute to sustainable value creation for stakeholders and society. Exciting assignments and outstanding development opportunities await you to impact the future with innovation. Contact: SCHAEFFLER GLOBAL SERVICES INDIA PVT LTD Rimsha Shaikh +912068198407 For technical questions, please contact: technical-recruiting-support-AP@schaeffler.com Apply at www.schaeffler.com/careers. As a dynamic global technology company, Schaeffler offers you a partner to all major automobile manufacturers, aerospace, and industrial sectors, providing numerous development opportunities. Your Key Responsibilities: - Research and define analytical models based on given data/information for analytical ad hoc feasibility cases or software development. - Collaborate with internal and/or external clients to understand business requirements. - Compile, sort, and organize function-specific information and data for subsequent analyses. - Conduct routine and instant data cleaning and testing, identifying and resolving data quality issues with the team. - Analyze data for feasibility cases and proofs of concepts. - Contribute actively to research and define analytical models for product transfer. Your Qualifications: - Graduate Degree in Business Informatics, Applied Computer Science, Mathematics, Software Engineering, Machine Learning. - 3 to 5 years of experience. As a global company, Schaeffler values treating each other with respect, appreciating differences to inspire creativity and drive innovation to contribute to sustainable value creation for stakeholders and society. Exciting assignments and outstanding development opportunities await you to impact the future with innovation. Contact: SCHAEFFLER GLOBAL SERVICES INDIA PVT LTD Rimsha Shaikh +912068198407 For technical questions, please contact: technical-recruiting-support-AP@schaeffler.com Apply at www.schaeffler.com/careers.

As a Lead Data Scientist at YASH Technologies, you will play a crucial role in leading complex data science projects, mentoring junior data scientists, and developing innovative solutions to leverage data for achieving business objectives. Your expertise in machine learning, statistical modeling, and data analysis will be instrumental in extracting actionable insights and driving strategic decision-making. **Responsibilities:** - End-to-end delivery ownership of ML and GenAI use cases. - Architect RAG pipelines and build enterprise-scale GenAI accelerators. - Collaborate with architects and presales teams. - Ensure code modularity, testability, and governance. **Required Skills:** - Proficiency in LangChain, LangGraph, embedding techniques, and prompt engineering. - Experience with Classical ML algorithms such as XGBoost, Random Forest, and time-series forecasting. - Knowledge of Python ML stack and FastAPI. - Strong understanding of security and cloud optimization. At YASH Technologies, you will have the opportunity to shape your career in an inclusive team environment. The company values continuous learning and development, offering career-oriented skilling models to help you grow. The workplace is built on the principles of flexible work arrangements, free spirit, emotional positivity, agile self-determination, trust, transparency, open collaboration, and all necessary support to achieve business goals. Join us for stable employment in a great atmosphere with an ethical corporate culture.,

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.,

**Job Description** **Role Overview:** At Improzo, you will be part of a team that believes in improving life by empowering customers through quality-led commercial analytical solutions. Founded by seasoned industry leaders, the company is dedicated to delivering innovative solutions to clients in the life sciences sector. As a Data Scientist in Pune, you will drive insights for pharma clients using advanced ML, Gen AI, and LLMs on complex healthcare data. Your role will involve optimizing Pharma commercial strategies and improving patient outcomes through data-driven approaches. **Key Responsibilities:** - **Data Exploration & Problem Framing:** - Proactively engage with client/business stakeholders to understand their challenges and strategic objectives. - Explore, clean, and prepare large, complex datasets from various sources. - Translate business problems into well-defined data science questions. - **Advanced Analytics & Model Development:** - Design, develop, validate, and deploy robust statistical models and machine learning algorithms. - Analyze promotional effectiveness and patient persistency/adherence. - Build models for patient journey mapping, segmentation, treatment adherence prediction, disease progression modeling, and identifying drivers of patient outcomes. - **Generative AI & LLM Solutions:** - Extract insights from unstructured text data. - Summarize complex medical or commercial documents. - Develop intelligent search systems and apply techniques like prompt engineering and fine-tuning of LLMs. - **Insight Generation & Storytelling:** - Transform analytical findings into compelling narratives and actionable recommendations. - Create impactful data visualizations, dashboards, and presentations. - **Collaboration & Project Lifecycle Management:** - Collaborate with cross-functional teams including product managers, data engineers, and other data scientists. - Support the entire data science lifecycle from conceptualization to deployment and ongoing monitoring. **Qualifications:** - Master's or Ph.D. in Data Science, Statistics, Computer Science, or related field. - 4+ years of experience as a Data Scientist in the healthcare or life sciences industry. - Solid understanding of pharmaceutical commercial operations and experience with real-world patient data. - Strong programming skills in Python and/or R, expertise in SQL, and proficiency in data visualization tools. - Familiarity with machine learning frameworks, cloud platforms, and NLP techniques. - Experience with MLOps practices and knowledge of industry regulations. - Excellent communication, presentation, and interpersonal skills. *(Please note that the "About Improzo" section has been omitted as it does not contain specific job-related details.)*,

Role Overview: As a Manager - Technical Support at the Business Intelligent division of GSS team in Pune, India, you will be responsible for leading a talented team of data scientists. Your role will involve providing technical guidance, managing complex projects, and driving data-driven decision-making across the organization. You will mentor team members, define the data science roadmap, and translate business challenges into impactful data science solutions. Key Responsibilities: - Lead the Data Scientists team and oversee the day-to-day activities of technical teams - Promote continuous professional and personal development of team members - Provide guidance within established company policies and recommend changes if needed - Improve knowledge management, customer-centric mindset, and problem-solving capabilities of the team - Manage internal stakeholders" requirements and expectations related to data and Artificial Intelligence (AI) projects - Lead improvement initiatives on Customer Experience and Engagement department processes aligned with Business Intelligence team's expectations - Prepare a program plan for Business Intelligence programs, identify resources for collaboration, and assist with forecasting and capacity planning - Collaborate with Product Engineering, Business Units, Quality Engineering, Documentation group, Sales function, Solution Architects, and marketing teams as required Qualifications Required: - Proficiency in utilizing LLMs (e.g., Google Gemini) for various tasks - Hands-on experience in data science or machine learning role - Experience in a leadership or management capacity, directly managing a team of data scientists or analysts - Demonstrated success in delivering machine learning models that solve real-world business problems and generate measurable impact Additional Details about Red Hat: Red Hat is the world's leading provider of enterprise open source software solutions, utilizing a community-powered approach to deliver high-performing technologies. With associates working flexibly across various work environments, Red Hat encourages creativity, inclusivity, and innovation. The culture at Red Hat is built on open source principles of transparency, collaboration, and inclusion, empowering individuals from diverse backgrounds to contribute ideas and drive innovation. Inclusion at Red Hat: Red Hat values transparency, collaboration, and inclusion to empower individuals to share ideas, challenge the status quo, and drive innovation regardless of background. Red Hat is committed to providing equal opportunity and access to all individuals, celebrating diverse voices and experiences. Applicants from all backgrounds are welcomed and encouraged to contribute to Red Hat's inclusive culture.,

Role Overview: As a Data Scientist II, you will be responsible for utilizing your advanced analytical skills to extract insights from complex datasets. Your primary objective will be to develop and implement machine learning algorithms and statistical models to solve business problems effectively. By leveraging your expertise in data mining and visualization techniques, you will contribute to enhancing decision-making processes within the organization. Key Responsibilities: - Utilize advanced analytical skills to extract insights from complex datasets - Develop and implement machine learning algorithms and statistical models - Contribute to enhancing decision-making processes by leveraging data mining and visualization techniques - Work closely with cross-functional teams to gather requirements, conduct data analysis, and present findings - Communicate complex technical concepts to non-technical stakeholders to drive data-driven decision-making - Stay updated on the latest trends in data science and contribute innovative ideas to improve processes Qualifications Required: - Strong background in statistics, mathematics, and computer science - Proven track record of successfully applying machine learning techniques to real-world problems - Proficiency in programming languages such as Python, R, or SQL - Experience working with big data technologies like Hadoop or Spark (Note: No additional details about the company were present in the job description),

Role Overview: As a Data Scientist at GlobalLogic, you will be responsible for analyzing large financial datasets to identify trends and patterns, developing and deploying machine learning models for predictive analytics and decision support, working with product teams to understand requirements and develop data-driven solutions, translating business requirements into machine learning tasks, creating visualizations to communicate model results to non-technical stakeholders, and staying up-to-date with emerging AI/ML techniques and tools. Key Responsibilities: - Analyze large financial datasets to identify trends and patterns. - Develop and deploy machine learning models for predictive analytics and decision support. - Work with product teams to understand requirements and develop data-driven solutions. - Translate business requirements into machine learning tasks. - Create visualizations to communicate model results to non-technical stakeholders. - Stay up-to-date with emerging AI/ML techniques and tools. Qualification Required: - 6+ years of experience in data science, preferably in the finance industry. - Strong proficiency in Python, R, SQL, and machine learning libraries (e.g., Scikit-learn, TensorFlow). - Experience in statistical analysis, data modeling, and deep learning. - Familiarity with cloud-based data platforms (e.g., AWS, Azure, GCP). - Strong communication skills for presenting findings to stakeholders. At GlobalLogic, you will experience a culture of caring, continuous learning and development opportunities, interesting and meaningful work on impactful projects, balance and flexibility in work-life integration, and be part of a high-trust organization. Join GlobalLogic, a trusted digital engineering partner, and contribute to transforming businesses and redefining industries through intelligent products, platforms, and services.,

As a dynamic global technology company, Schaeffler values entrepreneurial spirit and long history of private ownership. Partnering with major automobile manufacturers, aerospace, and industrial sectors, Schaeffler offers numerous development opportunities. **Key Responsibilities:** - Research and define analytical models based on given data/information for analytical ad hoc feasibility cases, proofs of concepts, or software development towards deployable analytics solutions. - Collaborate with internal and/or external clients to understand business requirements. - Compile, sort, and organize function-specific information and data for subsequent analyses. - Conduct routine and instant data cleaning and testing, identify and resolve data quality issues with the team's cooperation. - Analyze data for feasibility cases and proofs of concepts. - Contribute actively to the research and definition of analytical models for eventual product transfer. **Qualifications:** - Graduate Degree in Business Informatics, Applied Computer Science, Mathematics, Software Engineering, Machine Learning. - 5 to 6 years of experience. As a global company, Schaeffler values respect, diversity, and creativity among employees worldwide. By appreciating differences, creativity is inspired, driving innovation and contributing to sustainable value creation for stakeholders and society. Schaeffler offers exciting assignments and outstanding development opportunities, impacting the future through innovation. For technical questions, please contact: Kalyani More Email: technical-recruiting-support-AP@schaeffler.com Apply at [Schaeffler Careers](www.schaeffler.com/careers),

In your role as a Machine Learning Engineer, you will be responsible for developing and deploying end-to-end Machine Learning models using Python, Classical ML algorithms, and scalable Databricks workflows such as PySpark, MLflow, and Delta Lake. Your key responsibilities will include: - Leading GenAI initiatives, which involve tasks such as LLM fine-tuning, RAG pipelines, prompt engineering, and vector database integrations. - Building robust data pipelines, performing feature engineering, and optimizing models for performance and production readiness. - Collaborating with cross-functional teams to translate business problems into ML/GenAI solutions with measurable outcomes. - Conducting advanced statistical analysis, experimental design, and model evaluation to ensure accuracy and reliability. - Driving best practices in MLOps, automation, and documentation for efficient model lifecycle management. Additionally, if there are any additional details about the company in the job description, please provide them.,

As a Data Scientist fresher with excellent communication skills, you have the opportunity to work on cutting-edge technologies and real-world data science projects at a leading MNC in Mumbai. This role is offered through a paid service-based opportunity provided by PAI Services. You will have the chance to collaborate on projects in the field of AI & Data Science and contribute to the company's success. **Key Responsibilities:** - Successfully complete the selection process including a Technical Aptitude Test, Technical Interview, and HR Interview. - Utilize your skills and knowledge to contribute to data science projects. - Work collaboratively with team members to achieve project goals. - Continuously learn and adapt to new technologies and methodologies in the field of data science. **Qualifications Required:** - B.E/B.Tech in Computer Science or IT - Year of Passing: 2023, 2024, 2025 - Data Science Certificate (preferred but not mandatory) As part of the team, you will benefit from: - Attractive salary package of 10 - 15 LPA. - Ongoing training, mentorship, and career growth opportunities. - Full-time employment with day shift schedule. Please note that this opportunity is available for in-person work in Mumbai. If you meet the eligibility criteria and are interested in working in a dynamic environment with a focus on AI & Data Science, we look forward to receiving your application.,

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.,

As an experienced data scientist, you will be responsible for leading the development of predictive models from exploration to full-scale production deployment. Your key responsibilities will include: - End-to-End Product Ownership: Taking charge of developing predictive models and ensuring their successful deployment in production environments. - Prediction: Building robust regression, time-series, and deep learning models to predict prices/values of various commodities like financial assets, oil, and apparel. - Model Optimization: Continuously fine-tuning models for accuracy, performance, and scalability using real-time data feedback. - ML Ops & Deployment: Collaborating with engineering teams to deploy and monitor models effectively. - Stakeholder Collaboration: Translating business problems into analytical frameworks by closely working with product, strategy, and business teams. - Data Strategy: Defining and managing pipelines and feature stores using structured and unstructured data sources. Qualifications required for this role include: - 8+ years of experience in data science with a focus on predictive analytics and machine learning. - Proven expertise in building and scaling ML models in production environments. - Deep knowledge of Python, SQL, and ML libraries such as scikit-learn, XGBoost, LightGBM, TensorFlow/PyTorch. - Strong understanding of regression techniques, time-series forecasting, and feature engineering. - Preferably experience in domains like finance, commodities, retail pricing, or demand prediction. - Familiarity with cloud platforms like Azure, AWS, or GCP, Azure ML or Sagemaker, and tools such as Airflow, Docker, and MLflow. - Ability to define success metrics, conduct A/B tests, and iterate based on measurable KPIs. - Excellent communication and storytelling skills for effective interaction with technical and non-technical stakeholders.,

As a Data Scientist joining our US Startup, you will have the opportunity to work remotely from any location with an internet connection, avoiding long commutes and in-person meetings. If you are passionate about designing and building machine learning solutions using Python, gaining experience in a Startup environment, and are ready to work hard and play harder, this position is tailored for you. **Key Responsibilities:** - Conduct empirical research using public and proprietary data under the guidance of senior researchers - Perform data gathering, cleaning, data modeling, and maintenance of datasets - Prepare and test data using Python (ETL) on a daily basis - Develop dashboards, charts, and visual aids to facilitate decision-making - Utilize statistical techniques to derive analytic insights and recommendations - Conduct ad hoc quantitative analyses and modeling using Python and SQL - Diagnose and resolve issues in production - Collaborate with development teams to enhance the company's technology suite - Assess and prioritize client feature requests **Qualifications Required:** - Pre-final year student in Statistics/Math, Computer Science, Finance/Economics, or related quantitative fields (Ph.D. candidates encouraged to apply) - Experience with ML libraries like Scikit-learn, caret, NLTK or spark MLlib - Proficiency in Python (Data Science stack) - Data Engineering experience/coursework and ability to integrate multiple data sources - Proficient in SQL, relational databases, and MS-Excel - Familiarity with data visualization tools such as Power BI, Tableau, etc. - Comfortable with UNIX Operating System - Knowledge of Docker and Git - Strong analytical, design, problem-solving, and troubleshooting skills - Ability to work independently in a home office without constant supervision **Additional Details:** - Candidates are required to complete a pre-screening behavioral assessment form as part of the application process. - The company has a zero-tolerance policy for plagiarism during the screening test. - Flexible hours and competitive stipend/salary are some of the benefits offered. If you are a highly quantitative individual who is reliable, independent, and enjoys collaboration, this is your chance to join a dynamic team where experimentation and innovation are encouraged. Please ensure to submit your assignment as a zip attachment via email to be considered for this exciting opportunity.,

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.,