5,798 Data Science 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.

About ExcelR: ExcelR is a leading edtech company founded by distinguished alumni of IIM and ISB, dedicated to transforming careers through world-class upskilling. Recognized twice with the Deloitte Fast 50 Award, ExcelR is one of Indias fastest-growing tech companies. With an employee size of 450+, we have a strong PAN India and USA presence. With a thriving community of 300,000+ learners, ExcelR delivers impactful learning experiences across the globe. We proudly collaborate with premier institutes like IIT Madras, IIT Jammu, IIT Roorkee, and BITS Pilani, offering cutting-edge programs. Job Title: Data science Trainer Job Description: We are looking for a seasoned professional with in-depth expertise as a Data scientist. The ideal candidate should have a proven track record of hands-on experience with related field technologies, including managing complex projects, mentoring teams, and driving operational excellence in the field. Strong grasp of Python/R, Machine Learning, and statistical modeling Experience with data preprocessing, EDA, and model building Familiarity with libraries like NumPy, pandas, scikit-learn, and TensorFlow Proficiency in deploying models and working with real-world datasets Key Responsibilities: Develop, deliver, and continuously enhance training content and educational programs. Mentor and train junior in-house trainers, ensuring high-quality instruction across teams. Supervise the planning, execution, and evaluation of internships, assignments, and training programs. Innovate and maintain cutting-edge educational materials and content. Ideal Candidate Profile Demonstrated expertise in the relevant domain with industry experience Excellent communication and presentation abilities to deliver impactful training Passion for teaching and mentoring aspiring professionals Qualifications Prior experience in training, mentoring, or educational roles Strong interpersonal and time management skills Ability to collaborate effectively in a team environment Certifications in relevant subject areas or instructional design If youre an innovative, highly skilled professional with a passion for both technology and education, wed love to hear from you! Conditions:  Batch Management: Handle 3 batches consecutively, with assignments based on business requirements. This could include weekday/weekend and classroom batches.  Demos & Webinars: Conducting demo sessions and webinars.  Doubts Clarification Sessions: Organizing sessions to address and clarify students' doubts.  Course Material Preparation: Develop various teaching materials including presentations, assignments, projects, quizzes, and other relevant content.  Project Mentoring: Offer guidance and mentor-ship for student projects.  Placement Preparation: Assist students in preparing for placements, including conducting mock interviews.  Customer Query Handling: Addressing queries from potential customers.  Additional Responsibilities: Need to undertake other tasks as per the business requirement.

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.

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.,

You are based in Pune and looking to hire interns for a data science internship program. Interns with skills in data science, machine learning, and Python are encouraged to join for College projects. You are offering a Hybrid internship where interns can work in person for 5 days a week. Upon completion, interns will receive an experience certificate and have the opportunity for job placement after the internship. - Skills required: - Data science - Machine learning - Python - Interns can join for College projects - Hybrid internship available - Interns work in person for 5 days a week - Experience certificate provided - Job placement opportunity after internship You are based in Pune and looking to hire interns for a data science internship program. Interns with skills in data science, machine learning, and Python are encouraged to join for College projects. You are offering a Hybrid internship where interns can work in person for 5 days a week. Upon completion, interns will receive an experience certificate and have the opportunity for job placement after the internship. - Skills required: - Data science - Machine learning - Python - Interns can join for College projects - Hybrid internship available - Interns work in person for 5 days a week - Experience certificate provided - Job placement opportunity after internship

As a Data Scientist at Eaton Corporation's Center for Intelligent Power, you will play a crucial role in designing and developing ML/AI algorithms to address power management challenges. Your responsibilities will include: - Developing ML/AI algorithms and ensuring their successful integration in edge or cloud systems using CI/CD and software release processes. - Demonstrating exceptional impact in delivering projects, from architecture to technical deliverables, throughout the project lifecycle. - Collaborating with experts in deep learning, machine learning, distributed systems, program management, and product teams to design, develop, and deliver end-to-end pipelines and solutions. - Implementing architectures for projects and products, working closely with data engineering and data science teams. - Participating in the architecture, design, and development of new intelligent power technology products and production-quality end-to-end systems. Qualifications for this role include: - Bachelors degree in Data Science, Electrical Engineering, Computer Science, or Electronics Engineering. - 0-1+ years of practical data science experience, with a focus on statistics, machine learning, and analytic approaches. Required Skills: - Strong Statistical background including Bayesian networks, hypothesis testing, etc. - Hands-on experience with ML/DL models such as time series modeling, anomaly detection, root cause analysis, diagnostics, prognostics, pattern detection, and data mining. - Knowledge of data visualization tools and techniques. - Programming proficiency in Python, R, Matlab, C/C++, Java, PySpark, SparkR. - Familiarity with Azure ML Pipeline, Databricks, MLFlow, and software development life-cycle processes and tools. Desired Skills: - Knowledge of Computer Vision, Natural Language Processing, Recommendation AI Systems. - Understanding of traditional and new data analysis methods for building statistical models and identifying patterns in data. - Familiarity with open source projects like OpenCV, Gstreamer, OpenVINO, ONNX, Tensorflow, Pytorch, and Caffe. - Experience with Tensorflow, Scikit, Keras, Spark ML, Numpy, Pandas. - Advanced degree or specialization in related disciplines (e.g., machine learning). - Excellent verbal and written communication skills for effective collaboration with virtual, global teams. - Strong interpersonal, negotiation, and conflict resolution skills. - Ability to comprehend academic research and apply new data science techniques. - Experience working in both large teams with established big data platform practices and smaller teams where you can make a significant impact. - Innate curiosity and a self-directed approach to learning and skill development. - Ability to work effectively as a team player in small, fast-moving teams. This job opportunity offers a dynamic environment where you can contribute your expertise in data science to drive innovation in intelligent power technologies.,

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,

As a Data Science / Data Analytics / AI Fresher / Trainee at our Pune location, you will be part of a dynamic team focused on leveraging data to derive insights and build predictive models in the fields of Data Science, Data Analytics, and Artificial Intelligence. **Key Responsibilities:** - Collect, clean, and preprocess structured and unstructured data. - Perform exploratory data analysis (EDA) using Python, SQL, and visualization tools. - Develop and test machine learning models for classification, regression, or clustering tasks. - Create dashboards and reports using Power BI, Tableau, or Excel. - Collaborate with senior data scientists and business analysts on live projects. - Present findings and actionable insights to internal teams. - Stay updated with new tools and trends in data science, AI, and analytics. **Required Skills:** - Proficiency in Python (Pandas, NumPy, Matplotlib, Scikit-learn). - Good knowledge of SQL and database handling. - Understanding of statistics, probability, and data interpretation. - Experience (academic or project) in Machine Learning and AI concepts. - Strong logical thinking and problem-solving skills. - Good communication and documentation abilities. In addition to the technical skills, we look for candidates with a B.E. / B.Tech / B.Sc / M.Sc / MCA / BCA in Computer Science, IT, Electronics, or related fields. Data Science / Analytics certification or training is preferred. The salary range for this position is 2.0 L - 4.5 L PA, depending on skills and performance. This is a full-time position requiring your presence at the office in person. As a Data Science / Data Analytics / AI Fresher / Trainee at our Pune location, you will be part of a dynamic team focused on leveraging data to derive insights and build predictive models in the fields of Data Science, Data Analytics, and Artificial Intelligence. **Key Responsibilities:** - Collect, clean, and preprocess structured and unstructured data. - Perform exploratory data analysis (EDA) using Python, SQL, and visualization tools. - Develop and test machine learning models for classification, regression, or clustering tasks. - Create dashboards and reports using Power BI, Tableau, or Excel. - Collaborate with senior data scientists and business analysts on live projects. - Present findings and actionable insights to internal teams. - Stay updated with new tools and trends in data science, AI, and analytics. **Required Skills:** - Proficiency in Python (Pandas, NumPy, Matplotlib, Scikit-learn). - Good knowledge of SQL and database handling. - Understanding of statistics, probability, and data interpretation. - Experience (academic or project) in Machine Learning and AI concepts. - Strong logical thinking and problem-solving skills. - Good communication and documentation abilities. In addition to the technical skills, we look for candidates with a B.E. / B.Tech / B.Sc / M.Sc / MCA / BCA in Computer Science, IT, Electronics, or related fields. Data Science / Analytics certification or training is preferred. The salary range for this position is 2.0 L - 4.5 L PA, depending on skills and performance. This is a full-time position requiring your presence at the office in person.

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 part of the team at Amdocs in India, Pune, you will play a crucial role in empowering service providers to innovate and excel in the communication and media industry. With our market-leading software products and services, you will contribute to unlocking our customers" innovative potential and enabling them to deliver next-generation experiences to end users and enterprise customers. **Key Responsibilities:** - Collaborate with cross-functional teams to accelerate service providers" migration to the cloud. - Support in enabling service providers to differentiate in the 5G era. - Assist in digitalizing and automating operations to enhance efficiency and effectiveness. **Qualifications Required:** - Bachelor's degree in a relevant field. - Prior experience in the communication or media industry would be advantageous. - Strong collaboration and communication skills to work effectively in cross-functional teams. At Amdocs, we believe in fostering a diverse and inclusive workforce where all backgrounds are welcome. As an equal opportunity employer, we are committed to creating a workplace where you can excel professionally and thrive personally. Join us to "Live Amazing, Do Amazing" every day and make a meaningful impact in the world.,

You will be responsible for delivering engaging, hands-on training sessions on Python, Machine Learning, and Power BI to students. Your role will involve curriculum delivery, student mentoring, and guidance on real-world projects. Additionally, you should have strong practical knowledge, real-world project exposure, and a passion for teaching. Key Responsibilities: - Delivering engaging and hands-on training sessions on Python, Machine Learning, and Power BI - Curriculum delivery and student mentoring - Guiding students on real-world projects Qualifications Required: - Experience in AI, ML, Data Science & Analytics - Strong practical knowledge and real-world project exposure - Passion for teaching Please note that the job type for this position is full-time, and the work location is in person.,

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.,

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 a Data Science off-shore Lead in the Life Sciences domain at Pune, your role involves leading and executing multiple tier-1 client projects using advanced Data Science techniques such as AI, ML, and GenAI. You will be responsible for managing end-to-end Data Science project lifecycle, from problem comprehension to final delivery. Your exceptional articulation skills will be crucial in effectively communicating technical concepts to both technical and business stakeholders. **Key Responsibilities:** - Lead data science efforts (AI, ML, GenAI, analytical formulation) for multiple client engagements in the Life Sciences domain. - Manage end-to-end Data Science project lifecycle from problem comprehension, analytical solution development to final delivery. - Act as primary point of contact for client interactions, presentations, and requirement elicitation. - Guide teams on advanced data science techniques ensuring alignment with business objectives. - Collaborate cross-functionally with domain experts, business stakeholders, and technical teams to deliver robust analytical solutions. **Qualifications Required:** - Bachelor's and master's degree in engineering/technology. **Additional Information:** The company's SPOC for this position is the Human Resources department. For further inquiries or to apply for this role, please send your details to careers@tcgdigital.com.,

As a Data Science Manager in Supply Chain & Manufacturing at ZS, you will be part of a passionate team dedicated to transforming ideas into impact by leveraging data, science, technology, and human ingenuity to deliver better outcomes worldwide. You will work side-by-side with experts to develop custom solutions and technology products that drive value and results for clients. **Role Overview:** - Drive client engagements and lead the development and deployment of AI/ML/data science solutions - Lead large scale client delivery engagements in AI projects for the Supply Chain & Manufacturing Industry - Architect and develop predictive models, optimization algorithms, and statistical analyses - Mentor a team of data scientists, providing guidance and support for successful project execution - Drive business development through project delivery and client relationship management - Play a key role in advancing data science capabilities and offerings **Key Responsibilities:** - PhD degree in Computer Science, Statistics, or related discipline - 8+ years of relevant work experience; 10+ years without a PhD - Hands-on experience in applying advanced analytics leveraging AI and ML techniques in Supply Chain areas - Experience leading teams across multiple projects - Proficiency in big data, claims analytics, and advanced analytics concepts - Strong programming background in Python/R - Proven track record in business development - Agile project planning and management experience - Excellent communication, critical thinking, and problem-solving skills **Qualifications Required:** - PhD in Computer Science, Statistics, or related discipline - 8+ years of relevant post-collegiate work experience; 10+ years without a PhD - Hands-on experience in applying advanced analytics leveraging techniques of AI, ML to Supply Chain areas like Demand Planning, Forecasting, Supply Planning, Inventory Management, Logistics - Experience leading a team of data scientists, data engineers, domain experts, LLM engineers, DevOps across multiple projects - Experience with big data, claims analytics, advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, Gen AI, proficiency with large language models etc.); - Relevant programming background (e.g. Python/R); - Proven track record of business development - Agile project planning and project management experience; - Team management and skill development experience; - Relevant domain knowledge preferred; (healthcare, pharma); - Excellent oral and written communication skills; - Strong attention to detail, with a research-focused mindset; - Excellent critical thinking and problem solving skills; By joining ZS, you will have access to a comprehensive total rewards package including health and well-being benefits, financial planning, annual leave, personal growth opportunities, and professional development programs. ZS fosters a collaborative culture that empowers individuals to thrive and grow within the organization. ZS believes in providing a flexible and connected work environment that allows employees to work from home and on-site at clients/ZS offices. This approach enables a balance between planned and spontaneous interactions that drive innovation and collaboration. ZS values diversity and inclusion, encouraging individuals from various backgrounds and experiences to contribute to the team's success. If you are eager to grow, contribute, and bring your unique self to the workplace, ZS welcomes your application. ZS is an equal opportunity employer committed to providing equal employment opportunities without regard to any class protected by applicable law. To apply, candidates must possess or be able to obtain work authorization for their intended country of employment. An online application with transcripts is required for consideration. For more information, visit www.zs.com.,

As a Senior Data Scientist at Medtronic's Diabetes business in the new Minimed India Hub, you will play a pivotal role in driving innovation and transforming commercial operations by leveraging cutting-edge data science and artificial intelligence (AI) techniques. Your key responsibilities will include: - Designing, developing, and implementing statistical models, machine learning/deep learning algorithms, and AI techniques to solve complex business problems such as analyzing sales data, patient data, and CRM data, and translating model results into actionable insights. - Collaborating closely with internal cross-functional teams (e.g., Finance, Marketing, IT, Sales) to understand business problems, ensure deliverables align with commercial requirements, and document and communicate solutions to stakeholders. - Optimizing and fine-tuning machine learning models for performance and accuracy, developing production-ready code using software design principles, and deploying models in production environments while continuously monitoring their performance. - Staying up to date with the latest advancements in data science, evaluating new technologies to bring new values to the company, and mentoring and guiding other junior data scientists. Qualifications required for this role include: - Bachelors degree in Data Science, Statistics, Computer Science, or a related quantitative field. - 5+ years of industry experience applying data science, AI, and advanced analytics to real-world business problems. - Strong proficiency in Python and popular data science ecosystem tools such as Spark MLlib, Keras, PyTorch, HuggingFace Transformers, scikit-learn, spacy, etc. - Experience with SQL, diverse machine learning algorithms, big data technologies (Spark, Hadoop), cloud platforms (AWS, Azure, GCP), and GenAI techniques. - Solid knowledge of software engineering best practices. Preferred qualifications for this role include: - Master's degree or PhD in Data Science, Machine Learning, Statistics, Computer Science, or a related quantitative field. - Industry experience with MLOps practices and tools, deploying large language models (LLMs), vector databases, and containerization technologies. - Track record of leading cross-functional data science projects with measurable business impact, contributions to open-source projects, research publications, or patents in relevant fields. - Experience mentoring junior data scientists and knowledge of data privacy/security best practices and regulations. At Medtronic, you have the opportunity to begin a life-long career of exploration and innovation in a mission-driven environment that promotes healthcare access and equity for all. Join a global team of passionate individuals working to alleviate pain, restore health, and extend life through bold healthcare technology solutions. Medtronic offers a competitive salary and flexible benefits package designed to support you at every career and life stage.,

**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 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.,

As an experienced AI and Data Scientist Engineer in Pune, your role will involve designing and implementing data-driven AI solutions that optimize safety, operational efficiency, and compliance for industrial environments. You will be responsible for applying advanced machine learning techniques, data modeling, and analytics to extract actionable insights and drive innovation. Key Responsibilities: - Design, develop, and deploy AI algorithms and machine learning models for safety systems, predictive analytics, and process optimization. - Implement computer vision and NLP solutions for AR/VR applications and industrial safety scenarios. - Collect, preprocess, and analyze large datasets from industrial systems and safety processes. - Build predictive models, recommendation systems, and clustering algorithms to solve business challenges. - Integrate AI/ML models into existing software systems, AR/VR platforms, and training simulators. - Develop APIs and tools to make AI capabilities accessible across platforms. - Create intuitive dashboards and visualizations to present data insights to stakeholders. - Generate detailed reports explaining analytical findings and model performance. - Explore and experiment with new AI technologies and frameworks to improve safety and operational efficiency. - Conduct feasibility studies for integrating emerging AI techniques into industrial solutions. - Work closely with software developers, AR/VR teams, and business stakeholders to align AI solutions with company goals. Qualifications And Skills: - Experience: 3-7 years in AI, data science, or related fields with proven experience deploying machine learning models in production. - Programming Skills: Proficiency in Python, R, or Java with experience using libraries like TensorFlow, PyTorch, Scikit-learn, or Keras. - Data Tools: Strong knowledge of SQL/NoSQL databases, Hadoop, Spark, or other big data platforms. - AI/ML Expertise: Hands-on experience with supervised, unsupervised, and deep learning techniques, as well as reinforcement learning.,