2562 Data Scientist Jobs - Page 45

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options c. Integrate model performance management tools into the current business infrastructure 3. Team Management a. Resourcing i. Support recruitment process to on-board right resources for the team b. Talent Management i. Support on boarding and training for the team members to enhance capability & effectiveness ii. Manage team attrition c. Performance Management i. Conduct timely performance reviews and provide constructive feedback to own direct reports ii. Be a role model to team for five habits iii. Ensure that the Performance Nxt is followed for the entire team d. Employee Satisfaction and Engagement i. Lead and drive engagement initiatives for the team Deliver No. Performance Parameter Measure 1. Demand generation Order booking 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management % trained on new skills, Team attrition % Mandatory Skills: AI Cognitive. Experience5-8 Years.

Key Responsibilities: Data Analysis : Analyze large datasets to identify trends, patterns, and insights that inform business decisions. Predictive Modeling : Develop and implement machine learning algorithms to predict future outcomes and optimize business processes. ( By LLM, AI / ML) Data Visualization : Create reports and visualizations to communicate findings to non-technical stakeholders. Collaboration : Work with cross-functional teams to develop data-driven strategies and implement solutions. Data Management : Ensure data quality, integrity, and compliance with data governance policies. Required Skills: Technical Skills : Proficiency in programming languages like Python and SQL, and experience with machine learning frameworks and tools. Data Science Techniques : Knowledge of statistical modeling, data mining, and machine learning algorithms, such as regression, clustering, and decision trees. Communication : Strong written and verbal communication skills to effectively convey insights to stakeholders. Minimum 5 years of experience in data science or a related field, with a proven track record of implementing data-driven solutions. Strong problem-solving skills with an emphasis on product development and process optimization. Experience working with large datasets and developing predictive models to drive business outcomes.

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options c. Integrate model performance management tools into the current business infrastructure 3. Team Management a. Resourcing i. Support recruitment process to on-board right resources for the team b. Talent Management i. Support on boarding and training for the team members to enhance capability & effectiveness ii. Manage team attrition c. Performance Management i. Conduct timely performance reviews and provide constructive feedback to own direct reports ii. Be a role model to team for five habits iii. Ensure that the Performance Nxt is followed for the entire team d. Employee Satisfaction and Engagement i. Lead and drive engagement initiatives for the team Deliver No. Performance Parameter Measure 1. Demand generation Order booking 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management % trained on new skills, Team attrition % Competencies Client Centricity Passion for Results Collaborative Working Problem Solving & Decision Making Effective communicationMandatory Skills: Python for Data Science. Experience8-10 Years.

7+ years of Software Development Experience with at least 3+ years of full-time data scientist, machine learning researcher, or machine learning engineerFluency in R, Python, and experience with common data science libraries, such as Pandas, numpy, and scikit-learn Experience using neural networks and/or Deep Learning techniques and relevant Python platforms/APIs such as Tensorflow, PyTorch, and Keras in a production settingKnowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc) and their real-world advantages/drawbacks Experience with NLP (especially sentiment analysis, entity recognition, and use of the SpaCy library)Experience with SQL databases and SQL queriesSelf-starting, with the interest and passion to contribute in a fast-paced start-up like environmentExperience working on or with cloud platforms (AWS, GCP, Azure)optionalSkills[] , "rolesBuild , deploy, monitor, and manage Machine Learning modelsIdentify valuable input features and implement a means for calculating them (feature engineering)Investigate, clean, analyze, and otherwise prepare new data sources for use in higher-order analysis or as input into model features Data analysis and presentation using data visualization techniques, sometimes to broader audiences within or outside of TeraweTransition models from research to production, working with Data Engineers Fine-tune model performance in a production setting using adaptive/incremental machine learning techniquesMap customer and/or product requirements to correct modeling, analysis, and/or visualization approaches Recommend ways to improve data reliability and quality and implement them Collaborate with Product development team to plan new featuresexperience"

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options c. Integrate model performance management tools into the current business infrastructure 3. Team Management a. Resourcing i. Support recruitment process to on-board right resources for the team b. Talent Management i. Support on boarding and training for the team members to enhance capability & effectiveness ii. Manage team attrition c. Performance Management i. Conduct timely performance reviews and provide constructive feedback to own direct reports ii. Be a role model to team for five habits iii. Ensure that the Performance Nxt is followed for the entire team d. Employee Satisfaction and Engagement i. Lead and drive engagement initiatives for the team Deliver No. Performance Parameter Measure 1. Demand generation Order booking 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management % trained on new skills, Team attrition % Mandatory Skills: Data Science. Experience5-8 Years.

Job Title: Senior Data Scientist About Trellix: Trellix, the trusted CISO ally, is redefining the future of cybersecurity and soulful work. Our comprehensive, GenAI-powered platform helps organizations confronted by today s most advanced threats gain confidence in the protection and resilience of their operations. Along with an extensive partner ecosystem, we accelerate technology innovation through artificial intelligence, automation, and analytics to empower over 53,000 customers with responsibly architected security solutions. We also recognize the importance of closing the 4-million-person cybersecurity talent gap. We aim to create a home for anyone seeking a meaningful future in cybersecurity and look for candidates across industries to join us in soulful work. More at https://www.trellix.com/ . Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist to join our innovative Data Science team. Reporting to the Data Science Director, you will contribute to the development of advanced Machine Learning (ML) solutions for cybersecurity challenges, including threat detection, malware analysis, and anomaly detection. Your expertise will help drive end-to-end ML product development, from data preparation to deployment, while ensuring seamless integration into our core products. What You Will Do: As a Senior Data Scientist, you will work in a team of smart data scientists reporting to the Data Science Director that does full-lifecycle full-stack Machine Learning product development, from feature engineering to model building and evaluation. Our teams use cases include but are not limited to threat detection, threat hunting, malware detection and anomaly detection, and MLOps. You will work with other Senior Data Scientists in the team to execute data science projects. You will identify issues with models running in production and resolve them. This may require retraining models from scratch, adding new features to model, set-up automated model training and deployment pipelines. These models will be integrated into popular products of the company to show maximum impact. About You: A Master Degree or Equivalent degree in Machine Learning, Computer Science, or Electrical Engineering, Mathematics, Statistics In-Depth understanding of all major Machine Learning and Deep learning algorithms, supervised and unsupervised both Passion for leveraging ML/AI to solve real-world business problems 4-7 years of industry experience in one or more machine/deep learning frameworks 4-7 years of industry experience with Python/Pyspark and SQL Experience solving multiple business problems using Machine Learning Experience with various public cloud services (such as AWS, Google, Azure) and ML automation platforms (such as MLFlow) Should be able to drive end-to-end machine learning project with limited guidance Solid computer science foundation Good written and verbal communication Ph.D in Cyber Security/Machine Learning or related field will be an added advantage 4-7 years of industry experience in the field of Data Science/Machine learning Prior experience in solving cyber security problems using machine learning Familiarity with Security Domain will be a plus Company Benefits and Perks: We believe that the best solutions are developed by teams who embrace each others unique experiences, skills, and abilities. We work hard to create a dynamic workforce where we encourage everyone to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees. Retirement Plans Medical, Dental and Vision Coverage Paid Time Off Paid Parental Leave Support for Community Involvement Were serious ab out our commitment to a workplace where everyone can thrive and contribute to our industry-leading products and customer support, which is why we prohibit discrimination and harassment based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

Senior Data Scientist Gen AI Experience: 3 - 6 Years Exp. Salary : INR 25-33 Lacs per annum Preferred Notice Period : Within 30 Days Shift : 10:00AM to 7:00PM IST Opportunity Type: Onsite (Hyderabad) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Gen AI Good to have skills : MDM platforms Blend360 (One of Uplers' Clients) is Looking for: Senior Data Scientist Gen AI who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description We are hiring a Senior Data Scientist (Generative AI) to spearhead the development of advanced AI-powered classification and matching systems on Databricks. You will contribute to flagship programs like the Diageo AI POC by building RAG pipelines, deploying agentic AI workflows, and scaling LLM-based solutions for high-precision entity matching and MDM modernization. Key Responsibilities Design and implement end-to-end AI pipelines for product classification, fuzzy matching, and deduplication using LLMs, RAG, and Databricks-native workflows. Develop scalable, reproducible AI solutions within Databricks notebooks and job clusters, leveraging Delta Lake, MLflow, and Unity Catalog. Engineer Retrieval-Augmented Generation (RAG) workflows using vector search and integrate with Python-based matching logic. Build agent-based automation pipelines (rule-driven + GenAI agents) for anomaly detection, compliance validation, and harmonization logic. Implement explainability, audit trails, and governance-first AI workflows aligned with enterprise-grade MDM needs. Collaborate with data engineers, BI teams, and product owners to integrate GenAI outputs into downstream systems. Contribute to modular system design and documentation for long-term scalability and maintainability. Qualifications Bachelors/Masters in Computer Science, Artificial Intelligence, or related field. 5+ years of overall Data Science experience with 2+ years in Generative AI / LLM-based applications. Deep experience with Databricks ecosystem: Delta Lake, MLflow, DBFS, Databricks Jobs & Workflows. Strong Python and PySpark skills with ability to build scalable data pipelines and AI workflows in Databricks. Experience with LLMs (e.g., OpenAI, LLaMA, Mistral) and frameworks like LangChain or LlamaIndex. Working knowledge of vector databases (e.g., FAISS, Chroma) and prompt engineering for classification/retrieval. Exposure to MDM platforms (e.g., Stibo STEP) and familiarity with data harmonization challenges. Experience with explainability frameworks (e.g., SHAP, LIME) and AI audit tooling. Preferred Skills Knowledge of agentic AI architectures and multi-agent orchestration. Familiarity with Azure Data Hub and enterprise data ingestion frameworks. Understanding of data governance, lineage, and regulatory compliance in AI systems. Interview Process Online Assessment Technical Screenings -2 Technical Interviews - 2 Project Review Client Interview How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Our Vision is to build a company of world-class people that helps our clients optimize business performance through data, technology and analytics. The company has two divisions: Data Science Solutions: We work at the intersection of data, technology and analytics. Talent Solutions: We live and breathe the digital and talent marketplace. About Uplers: Uplers is the #1 hiring platform for SaaS companies, designed to help you hire top product and engineering talent quickly and efficiently. Our end-to-end AI-powered platform combines artificial intelligence with human expertise to connect you with the best engineering talent from India. With over 1M deeply vetted professionals, Uplers streamlines the hiring process, reducing lengthy screening times and ensuring you find the perfect fit. Companies like GitLab, Twilio, TripAdvisor, and AirBnB trust Uplers to scale their tech and digital teams effectively and cost-efficiently. Experience a simpler, faster, and more reliable hiring process with Uplers today.

Total exp - ( 12 to 15 yrs ) Roles & Responsibilities Design and develop innovative AI/ML solutions to address business challenges. Create and implement AI strategies and long-term roadmaps for AI adoption. Develop and deploy AI models, ensuring alignment with business needs. Collaborate with teams to translate business requirements into AI solutions. Stay updated on the latest AI/ML technologies and practices. Mentor junior AI developers and conduct code reviews. Work with data scientists and engineers to preprocess and prepare data. Select suitable AI/ML algorithms and deploy models in production. Ensure data privacy, security, scalability, and performance of AI applications. Requirements . Qualifications Bachelor's or Master's degree in Computer Science, Data Science, or related field. Proficiency in programming languages like Python or Java. Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn). Expertise in data manipulation (Pandas, NumPy) and visualization (Matplotlib, Seaborn). Familiarity with cloud platforms (AWS, Azure, Google Cloud) and version control (Git). Knowledge of databases (SQL, NoSQL) and development tools (Jupyter Notebook, IDEs). Understanding of Agile methodologies (Scrum, Kanban). Nice to Have Proven experience in developing and deploying AI/ML solutions. Skills in NLP, computer vision, and deep learning. Proficiency in cloud tools like EC2, ASG, S3, RDS. Strong problem-solving, communication, and collaboration skills.

Job Description Introduction: A Career at HARMAN Lifestyle We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. As a member of HARMAN Lifestyle, you connect consumers with the power of superior sound. Contribute your talents to high-end, esteemed brands like JBL, Mark Levinson and Revel Unite your passion for audio innovation with high-tech product development Create pitch-perfect, cutting-edge technology that elevates the listening experience About The Role The person will be responsible for the end-to-end General Trade business of the defined territory. They will be responsible for implementing the overall strategic sales plan, targets, and tools to monitor sales achievements. What You Will Do B.Tech/M.Tech in Electronics/Computer Science At least 4 years work experience (B.Tech/MTech) in Computer Vision/Image Processing/Signal Processing/Machine Learning Strong fundamentals in Signal Processing/Computer Vision, Machine Learning, Deep Learning Strong proficiency in python , C++ , Linux Fluency in data structures, algorithms Knowledge of embedded realization of ML models is a plus Prior experience with Deep learning frameworks such as Tensorflow/Pytorch What You Need To Be Successful Develop novel algorithms for solving challenging 3D computer vision & Augmented Reality problems for enhancing Mobile Camera user experience Develop multi-view geometry related solutions , strong knowledge & debugging skill in camera ISP Use innovative ideas to continuously improve the solution to take them to the end-user Extensive quality evaluation and regression testing of the developed solution to meet strict quality guidelines Actively participate in design discussions to enhance end-t Bonus Points if You Have Bachelor’s degree required What Makes You Eligible Work Mode: Hybrid Work location: Bangalore. What We Offer Flexible work environment, allowing for full-time remote work globally for positions that can be performed outside a HARMAN or customer location Access to employee discounts on world-class Harman and Samsung products (JBL, HARMAN Kardon, AKG, etc.) Extensive training opportunities through our own HARMAN University Competitive wellness benefits Tuition reimbursement “Be Brilliant” employee recognition and rewards program An inclusive and diverse work environment that fosters and encourages professional and personal development You Belong Here HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you – all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want. About HARMAN: Where Innovation Unleashes Next-Level Technology Ever since the 1920s, we’ve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected. Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today’s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world’s ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other. If you’re ready to innovate and do work that makes a lasting impact, join our talent community today! HARMAN is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or Protected Veterans status. HARMAN offers a great work environment, challenging career opportunities, professional training, and competitive compensation. (www.harman.com

Overview: The Data Scientist supports the development and implementation of data models, focusing on Machine Learning, under the supervision of more experienced scientists, contributing to the team’s innovative projects. Job Description: Assist in the development of Machine Learning models and algorithms, contributing to the design and implementation of data-driven solutions. Perform data preprocessing, cleaning, and analysis, preparing datasets for modeling and supporting higher-level data science initiatives. Learn from and contribute to projects involving Deep Learning and General AI, gaining hands-on experience under the guidance of senior data scientists. Engage in continuous professional development, enhancing skills in Python, Machine Learning, and related areas through training and practical experience. Collaborate with team members to ensure the effective implementation of data science solutions, participating in brainstorming sessions and project discussions. Support the documentation of methodologies and results, ensuring transparency and reproducibility of data science processes. Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, with a strong interest in Machine Learning, Deep Learning, and AI. Experience in a data science role, demonstrating practical experience and strong Python programming skills. Exposure to Business Intelligence (BI) & Data Engineering concepts and tools. Familiarity with data platforms such as Dataiku is a bonus. Skills: Solid understanding of Machine Learning principles and practical experience in Python programming. Familiarity with data science and machine learning libraries in Python (e.g., scikit-learn, pandas, NumPy). Eagerness to learn Deep Learning and General AI technologies, with a proactive approach to acquiring new knowledge and skills. Strong analytical and problem-solving abilities, capable of tackling data-related challenges and deriving meaningful insights. Basic industry domain knowledge, with a willingness to deepen expertise and apply data science principles to solve real-world problems. Effective communication skills, with the ability to work collaboratively in a team environment and contribute to discussions. v4c.ai is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status. We believe in the power of diversity and strive to foster a culture where every team member feels valued and respected. We encourage applications from individuals of all backgrounds and experiences. If you are passionate about diversity and innovation and thrive in a collaborative environment, we invite you to apply and join our team.

Kovai.co is a catalyst, sparking a revolution in the world of enterprise software and B2B SaaS, we are a technology powerhouse delivering best-in-class enterprise software and game-changing SaaS solutions across industries. At Kovai.co , we're rewriting the B2B landscape by empowering over 2,500 businesses worldwide with our award-winning SaaS solutions. Our Products: Biztalk360 Turbo360 Document360 “UK headquarters. Indian innovation. Global impact.” Our journey has been nothing short of remarkable, having witnessed exponential growth and profitability right from our inception. We are on track towards $30 million in annual revenue – and we're just getting started. Kovai.co is fueled by a tribe of thoughtful helpers, obsessed with empowering customers, uplifting colleagues, and igniting our own journeys. Redefining tech is our game. Are you in? Join Kovai.co – where passion meets purpose. What's the job: Data Scientist What you’ll do on the job: Understand business problems and formulate hypothesis Collecting and interpreting data, analyzing results, identifying patterns and trends in large data sets Research and develop advanced statistical and machine learning models for analysis of large-scale, high-dimensional data Build custom machine learning models for various use-cases such as recommendation, insight generation, forecasting, anomaly detection, and so on Performing data quality checks for quality assurance Build data pipelines to supply quality data to machine learning model in production environment Supports innovative analytical thinking & solutions that results into improved business performance Writing reports based on insights gained from exploratory data analysis and able to articulate it to product owner Practice industry well-known Machine Learning Framework and best practices Who’ll be a good fit: Proven working experience of 2+ years as a Data Scientist Strong in mathematics - statistics, probability, linear algebra, time series Proficiency in working with large datasets and data wrangling using SQL (Structured Query Language) Familiar with tools such as JuPyteR, Tensorflow ,Python , Azure ML, Prophet (Open source software), MS SQL Server Working knowledge of applied machine learning techniques such as regression, clustering, forecasting of time-series data and Classification models Proficiency in LSTM, hypothesis testing and supervised learning / unsupervised learning. Familiarity with all aspects of the analytical cycle such as data wrangling and visualisation, feature engineering, and model building Write scalable scripts to fetch or modify data from API endpoints Exposure to cloud technology is preferred (Azure) Excellent critical thinking, verbal, and written communication skills Equal Opportunities: Kovai.co is committed to building a workforce that reflects the richness of our society. We believe in fostering a culture of belonging and respect for all. Kovai.co stands firmly against discrimination, ensuring equal opportunity for everyone to build a successful career.

We are looking for an experienced Senior Data Scientist to join our analytics team and lead high-impact projects. This role requires a deep understanding of statistical analysis, machine learning, and data-driven strategy, with a focus on developing and delivering innovative analytics solutions to meet complex business needs. The ideal candidate will have extensive hands-on experience, strong technical skills, and proven leadership capabilities to guide a team of data scientists and machine learning engineers. Key Responsibilities: Statistical Analysis & Use Case Identification: Utilize advanced statistical techniques to analyze large datasets, uncovering trends and patterns that support data-driven decision-making. Identify and define use cases to support business strategies, using insights from data to generate value and guide strategic direction. Data Analytics Maturity Assessment: Assess the organizations data analytics maturity, utilizing descriptive data analysis to evaluate current capabilities. Develop and propose use cases for advanced analytics, including diagnostic, predictive, and prescriptive models to enhance data utilization. Technical Expertise: Apply hands-on expertise in Python and data science, employing a variety of machine learning algorithms for tasks like regression, classification, natural language processing (NLP), and operational research. Implement, optimize, and maintain complex models, ensuring they are scalable and effective. Advanced Machine Learning: Leverage experience with large language models (LLMs) and Retrieval-Augmented Generation (RAG) models to build sophisticated applications, including chatbots and other NLP-based solutions. Communication & Presentation: Demonstrate excellent communication skills to convey complex analytics insights to stakeholders. Lead customer meetings, presenting analytical findings and recommending actionable, data-driven solutions. Solution Development: Develop solutions aligned with business objectives by translating business requirements into impactful, data-driven solutions. Foster a solution-oriented mindset within the team, focusing on delivering analytics solutions that enhance decision-making and drive value. Team Management: Lead a team of data scientists and machine learning engineers, providing mentorship, technical guidance, and project oversight. Ensure alignment of team projects with business goals, maintaining a focus on quality and timely delivery. Experience: At least 5-7 years of hands-on experience in data science, machine learning, and statistical analysis. Proven track record in managing and mentoring a team of data scientists and engineers. Extensive experience with Python and essential libraries (e.g., Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch). Skills: Strong knowledge of machine learning techniques, including regression, classification, NLP, and operational research. Experience with deep learning, LLMs, and RAG models for advanced applications like chatbot development is highly desirable. Exceptional problem-solving skills, with an emphasis on delivering actionable business insights. Excellent communication, presentation, and interpersonal skills. Ability to work both independently and collaboratively in a fast-paced, dynamic environment.

As five-star service provider for our internal divisions, Bosch Global Business Services offers End-to-End processes that ensure the best possible customer experience. Our long-term aim is to process all services from anywhere in the world and provide our solutions around the clock. Working with us means being part of a diverse team, with dynamic colleagues as digital innovation center for internal business processes driving success together. Join our team as Future-Makers, Solution Innovators and Design Thinkers and help us to offer services that empower people to create technology that is invented for life. Activities: As a Data Scientist you will work as part of our global Data Science team to provide data driven AI solutions for our internal customers using state-of-the-art Machine Learning methods and tools. In collaboration with other Bosch units, you will enhance and operate our existing cloud-based solutions including anomaly detection, forecasting, and retrieval-augmented generation systems as well as explore new potential Machine Learning use cases. As an employee of the global cross Business Intelligence team (xBI), you will work on the future steering of Bosch together with Data Modelers, Data Engineers, and Business Analysts. Last but not least, as part of the leading in-house provider for data and analytics-based solutions within Bosch, you will experience the start-up spirit with us and make your contribution through entrepreneurial thinking and acting

Roles & Responsibilities : Machine Learning & Data Science: Develop and implement advanced statistical models, predictive analytics, and optimization frameworks . Research, develop, and apply ML, Deep Learning, and AI techniques on large datasets. Conduct exploratory data analysis (EDA) and apply feature engineering techniques. Optimize and tune ML models for performance, scalability, and accuracy. Large Language Models (LLMs) & NLP: Fine-tune and customize LLMs (GPT, LLaMA, Falcon, etc. ) for enterprise use cases. Implement Retrieval Augmented Generation (RAG) pipelines for chatbots and knowledge retrieval. Work with vector databases for semantic search . Deploy LLM-powered applications for document summarization, sentiment analysis, and automation . AI & Data-Driven Business Insights: Translate complex AI/ML models into actionable business insights . Partner with stakeholders to define data requirements and ensure the right data is captured . Develop proof-of-concept solutions demonstrating AI and ML capabilities. Deployment & MLOps: Deploy AI/ML models using cloud technologies (Azure, AWS, GCP) . Work with Docker, Kubernetes, and CI/CD pipelines for scalable ML deployment. Continuous Learning & Innovation: Stay updated with the latest trends in AI, LLMs, GenAI, and cloud-based ML platforms .

Huron helps its clients drive growth, enhance performance and sustain leadership in the markets they serve. We help healthcare organizations build innovation capabilities and accelerate key growth initiatives, enabling organizations to own the future, instead of being disrupted by it. Together, we empower clients to create sustainable growth, optimize internal processes and deliver better consumer outcomes. Health systems, hospitals and medical clinics are under immense pressure to improve clinical outcomes and reduce the cost of providing patient care. Investing in new partnerships, clinical services and technology is not enough to create meaningful and substantive change. To succeed long-term, healthcare organizations must empower leaders, clinicians, employees, affiliates and communities to build cultures that foster innovation to achieve the best outcomes for patients. Joining the Huron team means you’ll help our clients evolve and adapt to the rapidly changing healthcare environment and optimize existing business operations, improve clinical outcomes, create a more consumer-centric healthcare experience, and drive physician, patient and employee engagement across the enterprise. Join our team as the expert you are now and create your future. A highly motivated and detail-oriented Associate - Data Scientist with a strong foundation in statistics, machine learning, classification, regression, clustering, recommendation, anomaly detection, Natural Language Processing (NLP) and healthcare data analytics. This role requires hands-on experience in building and deploying predictive models, conducting clustering and segmentation analysis, applying Market Basket Analysis (MBA) for root cause pattern discovery, and utilizing supervised and unsupervised ML techniques to uncover insights from complex datasets. Coordinate with the stakeholders to develop data-driven solutions that address challenges in denials, collections, write-offs, and payment forecasting. Job Title: Data Scientist Practice: Healthcare Level: Associate Location: Bangalore Key Responsibilities: Analyze large-scale healthcare claims and transaction data (charges, payments, denials, write-offs, etc.) Develop and implement predictive models, such as XGBoost, Random Forest, or Logistic Regression, for denial prediction, transaction classification, and payment forecasting Apply unsupervised learning techniques (e.g., clustering, MBA) to detect denial root causes, payer patterns, and operational inefficiencies. Identify trends and anomalies to support root cause analysis in denials and underpayments Build and validate machine learning models likw classification, forecasting, clustering for Denial prediction and pattern recognition, Cash collection forecasting and Write-off root cause analysis Use tools such as Python (scikit-learn, XGBoost, pandas), SQL, and AWS services like SageMaker, Athena Translate business problems into machine learning problems and deliver solutions with clear, measurable outcomes. Collaborate with business stakeholders to define use cases and translate them into analytical models and interactive insights Work with large datasets from AWS Redshift, S3, Oracle, SageMaker, Excel, and other sources to preprocess and prepare training datasets Provide statistical analysis and model validation to ensure accuracy and reliability on unseen RCM data Automate and replace manual Excel-based reports with AI-powered analytics and decision support tools Collaborate with data visualization teams to integrate model outputs into business-friendly dashboards using AWS QuickSight or Power BI Assist in integrating models into production environments and monitoring performance Work closely with domain experts, operations leaders, and client teams to translate business questions into analytical solutions Participate in brainstorming sessions for new use cases and innovations Required Qualifications & Skills: 5+ Yrs of experience in analytics and Data science Proficient in Python and SQL for data transformation and model building Hands-on experience with supervised and unsupervised ML techniques, including clustering, classification, and association rule mining Exposure to statistics, hypothesis testing, and model performance evaluation techniques (e.g., ROC-AUC, precision/recall, F1) Experience with AWS tools such as SageMaker, Redshift, Athena, S3; familiarity with Snowflake is a plus Preferred knowledge on Revenue Cycle Management Exposure to Python, SQL and data querying for extracting insights and Excel formulae Good communication skills and ability to work with business teams. Eagerness to learn cloud-based data tools (AWS, S3, Redshift, Snowflake, etc.) Position Level Associate Country India

- - - - - - - - - - - - KEY EXPECTED ACHIEVEMENTS The business need is understood and formalized in a descriptive datasheet or specifications The methods are clearly selected by their theoretical bases, advantages and drawbacks The data, its relevance and its source are described and prioritized The data are prepared (cleaned, enriched, mapped, agregated, …) and the approach is documented The data analysis is implemented and documented Machine Learning pipeline are built, tested and automatized for deployment The algorithms and models (descriptive and/or predictive) are developed and the approach is documented The results of the analysis or the models are presented to the customers with data visualisation tools indicating the performances and the limits. The source code is delivered and explained if necessary Models are validated and decisions deployment are taken, from roll-out-strategy Peer reviews are organized to ensure quality of delivering.

Experience Required: 3+ Years max 5 yrs Skills Required: Data Science, Python, Pandas, Matplotlibs Job Description: We are seeking a Data Scientist with strong expertise in data analysis, machine learning, and visualization. The ideal candidate should be proficient in Python, Pandas, and Matplotlib, with experience in building and optimizing data-driven models. Some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models would be a plus. Roles & Duties: Analyze and process large datasets using Python and Pandas. Develop and optimize machine learning models for predictive analytics. Create data visualizations using Matplotlib and Seaborn to support decision-making. Perform data cleaning, feature engineering, and statistical analysis. Work with structured and unstructured data to extract meaningful insights. Implement and fine-tune NER models for specific use cases (if required). Collaborate with cross-functional teams to drive data-driven solutions Required Skills & Qualifications: Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, etc.). Experience in data analysis, statistical modeling, and machine learning. Hands-on expertise in data visualization using Matplotlib and Seaborn. Understanding of SQL and database querying. Familiarity with NLP techniques and NER models is a plus. Strong problem-solving and analytical skills. Job Types: Full-time, Permanent Pay: ₹40,000.00 - ₹90,000.00 per month Benefits: Cell phone reimbursement Paid sick time Schedule: Day shift Monday to Friday Morning shift Work Location: In person

Key Responsibilities: - Gather and extract data from various databases and sources, ensuring data quality and consistency. - Perform detailed data analysis to uncover trends, patterns, and actionable insights that support business objectives. - Develop predictive models and algorithms to address complex business challenges and forecast outcomes. - Use statistical tools and machine learning techniques to optimize processes and inform strategic initiatives. To provide suggestions and research backed recommendations for adoption of newer tools and available products to enhance data productivity - Design and implement automated dashboards and reporting systems to streamline data insights and accessibility. - Develop automated alert mechanisms to promptly notify relevant stakeholders of significant changes or anomalies. - Collaborate with cross-functional customer experience teams to understand data needs and provide analytical support. - Present findings and recommendations to senior leadership in a clear, concise, and impactful manner. - Lead and manage data science projects from conception to completion, ensuring timely delivery and alignment with organizational goals. - Mentor and guide junior data scientists and analysts, fostering a culture of continuous learning and innovation. Qualifications: - Bachelors or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. - Experience in data science, analytics, or a similar role, with at least 4-5 years in a leadership or managerial position. - Proven experience in building and deploying machine learning models and automated solutions. Technical Skills: - Proficiency in programming languages such as Python, R, or Java. - Strong SQL skills and experience with data querying and transformation. - Familiarity with big data technologies like Hadoop, Spark, or AWS. - Experience with data visualization tools such as Tableau, Power BI, or similar. - Knowledge of statistical analysis and machine learning frameworks (e.g., scikit-learn, TensorFlow). Soft Skills: - Strong analytical and problem-solving abilities. - Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders. - Ability to work collaboratively in a team environment and lead projects with minimal supervision. Preferred Qualifications: - Experience in creating real-time data pipelines and automated alert systems. - Understanding of data governance and compliance practices. - Prior experience in aviation or a customer-centric or high-growth industry is a plus. "At IndiGo, we believe in the innate strength of an energetic, diverse, and inclusive workforce, where the viewpoints and life experiences of our employees help us foster strong connections with all our customers. Our diversity equity and inclusion efforts are designed to attract, nurture, and advance the lives of our employees and customers irrespective of their – but not limited to - gender, race, color, religion, caste, creed, ethnicity, origin, language, social and economic status, sexual orientation, differently-abled status, marital status, nationality, age, family status, and maternity status"

Data scientist role 6+yrs exp in Data Science & AI/ML designing, developing, and deploying scalable AI/ML solutions for Big Data GCP preferred, AWS/Azure a plus Gurgaon Call on 7042331616 or drop cv on supreetbakshi@imaginators.co

Job Description Potential candidates should have excellent depth and breadth of knowledge in machine learning, data mining, and statistical modeling. They should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The role is that of an individual contributor; however, the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis. Responsibilities Key Roles and Responsibilities of Position: Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness Qualifications Minimum Qualifications Bachelor’s degree in computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Plotly, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or QlikSense. 1+ years' experience in SQL programming language and relational databases. Create visualizations to connect disparate data, find patterns and tell engaging stories. This includes both scientific visualization as well as geographic using software such as Power BI. Preferred Qualifications An MS/PhD in Computer Science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. PhD strongly preferred. Experience working with Google Cloud Platform (GCP) services, leveraging its capabilities for ML model development and deployment. Experience with Git and GitHub for version control and collaboration. Besides Python, familiarity with one more additional programming language (e.g., C/C++/Java) Strong background and understanding of mathematical concepts relating to probabilistic models, conditional probability, numerical methods, linear algebra, neural network under the hood detail. Experience working with large language models such GPT-4, Google, Palm, Llama-2, etc. Excellent problem solving, communication, and data presentation skills.

Requirement : Bachelor's Degree in Computer Science, Operations Research, Statistics, or related field. Knowledge of R, or Python Knowledge of building regression and classification models Familiarity with any or all of, Regularization methods: Lasso, Ridge Ensemble methods: Random Forest, Boosting Time Series analysis: Auto-regression, moving average, etc. Graphs modeling Support Vector Machines Decision trees Preferred : Master's or higher degrees. Industry experience in the field of Data Science. Participation in competitions like Kaggle, Netflix Data Challenge. Open source contributions in areas of Data Science (Machine Learning, Deep Learning, Statistical Learning). Worked on Scala and/or Spark. Understanding of generative AI concepts, such as transformers, diffusion models, and LLMs

We are organizing a Virtual Hiring Drive on Saturday, 28th June 2025 across all Kanini locations Chennai, Coimbatore, Bangalore, and Pune Job Description: We are looking for an experienced and passionate Data Scientist with a strong background in Python programming and Azure services. The ideal candidate will have hands-on expertise in deploying GenAI/OpenAI-based solutions , working with FastAPI , vector databases , and RAG (Retrieval-Augmented Generation) architectures. Experience in CI/CD , NLP , computer vision (CV) , and deep learning is essential. Key Responsibilities: Design, develop, and deploy machine learning and GenAI solutions. Build and optimize RAG-based architectures using vector DBs, embeddings, and chunking techniques. Develop RESTful APIs using FastAPI and Django. Work with Azure services including Form Recognizer , Azure ML , and Data Storage . Integrate CI/CD pipelines for scalable deployment. Collaborate with cross-functional teams (Product, Engineering, DevOps). Handle structured and unstructured data from various sources including NoSQL databases. Implement NLP and Computer Vision solutions using pre-trained and custom models. Optimize performance and cost of deployed models in production. Primary Skills Proficient in Python programming with strong experience in FastAPI and Django frameworks Hands-on expertise with Microsoft Azure services , including Form Recognizer and Azure Machine Learning Experience in Generative AI , OpenAI APIs , and Large Language Models (LLMs) Skilled in building Retrieval-Augmented Generation (RAG) solutions Familiar with Vector Databases such as FAISS , ChromaDB , Pinecone , and Milvus Knowledge of embedding generation and text chunking techniques Experience in Natural Language Processing (NLP) and Computer Vision (CV) Strong understanding of Machine Learning and Deep Learning techniques Proficient in CI/CD pipeline tools like Jenkins and GitHub Actions Experience working with NoSQL databases , including MongoDB and Cassandra Location: Chennai, Coimbatore, Bangalore, Pune

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are looking for an AI/ML Specialist with expertise in clustering algorithms, dimension reduction algorithms, and anomaly detection techniques on large datasets. The ideal candidate will be well-versed in unsupervised learning techniques and have solid proficiency in Python and various ML modules such as PyTorch, TensorFlow, or Scikit-learn. Additionally, the candidate should have extensive knowledge of Snowflake, Databricks, and Azure services like Azure ML and AKS. Knowledge of healthcare and FHIR standards. Primary Responsibilities: Develop and implement clustering algorithms to analyze large datasets and detect anomalies Apply dimension reduction techniques to enhance data processing and model performance Utilize unsupervised learning techniques to uncover patterns and insights from data Select, write, train, and test AI/ML models to ensure optimal accuracy and performance Collaborate with cross-functional teams to integrate AI/ML solutions into existing systems Utilize Python and ML modules (PyTorch, TensorFlow, Scikit-learn) for model development and deployment Leverage Snowflake and Databricks for data warehousing and management Utilize Azure services such as Azure ML and AKS for model deployment and management Continuously monitor and refine models to improve their effectiveness Document processes and results, and present findings to stakeholders Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, or a related field Proven experience in developing and implementing clustering algorithms, dimension reduction techniques, and anomaly detection Experience with Azure services (Azure ML, AKS) Knowledge of Snowflake and Databricks Proficiency in Python and ML modules (PyTorch, TensorFlow, Scikit-learn) Solid understanding of unsupervised learning techniques Proven excellent problem-solving skills and attention to detail Proven ability to work independently and as part of a team. Proven solid communication skills to convey complex technical concepts to non-technical stakeholders At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

At Hashbrown Systems, we are dedicated to leveraging data to drive innovation and make informed business decisions. Our dynamic team is looking for a talented Data Scientist to join us and contribute to our mission. If you are passionate about data and have a solid foundation in quantitative analysis, we want to hear from you! Job Description: As a Data Scientist, you will work with our data science team to analyze data, build models, and provide actionable insights to support our business objectives. Your role will involve using statistical methods and machine learning techniques to solve complex problems and deliver data-driven solutions. Key Responsibilities: Analyse large datasets to identify trends, patterns, and insights. Apply statistical methods to solve business problems and inform decision-making. Develop predictive models using machine learning techniques. Assist in data cleaning, preparation, and exploratory data analysis. Collaborate with cross-functional teams to understand data needs and provide actionable insights. Present findings and recommendations to stakeholders in a clear and concise manner. Stay updated with the latest trends in data science, statistical methodologies, and large language models (LLMs). Qualifications: Bachelor’s or Master’s degree in Statistics, Mathematics, Data Science, or a related field. Minimum 1-3 years of experience in data analysis, statistical modelling, or machine learning projects. Strong understanding of statistical concepts and methodologies. Familiarity with programming languages such as Python or R. Basic knowledge of large language models (LLMs) and their applications. Experience with data visualization tools (e.g., Tableau, Power BI) is a plus. Basic knowledge of machine learning algorithms and techniques. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Preferred Qualifications: Experience with SQL and relational databases. Experience in statistical modelling and ML algorithms Hands on experience on R and Python Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹70,000.00 per month Benefits: Paid time off Schedule: Day shift Monday to Friday Morning shift Supplemental Pay: Performance bonus Experience: total work: 1 year (Preferred) Work Location: In person

Role & responsibilities 1. Research and develop statistical learning models for data analysis. 2. Collaborate with business, product management and engineering departments to understand business needs and devise possible solutions. 3. Implement new statistical or other mathematical methodologies as needed for specific models or analysis. 4. Optimize joint development efforts through appropriate database use and project design. 5. Communicate results and ideas to key decision makers 6. Bring an outside in view by constantly staying updated and engaged with developing industry standards Required Qualifications, Capabilities, and Skills: 1. Masters Degree in Computer Science, Statistics, Economics, Applied Math or related field. 2. 5+ years practical experience with Python, R, SQL, SAS, ETL, data processing, database programming and data analytics. 3. Rich experience in data mining and statistical analysis. Candidates with experience in the domain of banking would have an advantage. 4. Able to understand various data structures and common methods in data transformation. 5. Excellent in analysing and problem-solving using data. 6. Excellent pattern recognition and predictive modelling skills. 7. Experience with programming languages such as Java/C++ an asset. 8. The candidate must have an ability to establish strong, meaningful, and lasting relationships with others. He will be approachable and likable, inspiring trust and a feeling of dependability in others, bearing more credibility to his insights and directives in the view of collaborating with personnel, senior management, and his colleagues