Data Scientist Jobs

Role Overview Were hiring a Senior Data Scientist who can own end-to-end problem solving-from business discovery and hypothesis design to model deployment and post-production monitoring. You will partner with product, engineering, and client stakeholders to build production-grade ML/AI and GenAI solutions on AWS/Azure/GCP and mentor a small pod (2-5) of data scientists/ML engineers. Key Responsibilities Business & Problem Framing: Engage with client stakeholders to translate objectives into measurable DS/ML use cases, define success metrics (ROI, adoption, accuracy, latency), and create experiment plans. Data Strategy & Feature Engineering: Own data acquisition, quality checks, EDA, and feature pipelines across SQL/Spark/Databricks; collaborate with Data Engineering for robust ingestion and transformation (Airflow/dbt). Modeling: Build, tune, and compare models for supervised/unsupervised learning, time-series forecasting, NLP/CV, and GenAI (RAG, fine-tuning, prompt-engineering) using Python (pandas, NumPy, scikit-learn, XGBoost/LightGBM), PyTorch/TensorFlow, Hugging Face. MLOps & Deployment: Productionize via MLflow/DVC, model registry, CI/CD (GitHub/GitLab), containers (Docker/Kubernetes), and cloud ML platforms (SageMaker/Azure ML/Vertex AI). Expose services via FastAPI/Flask; implement monitoring for drift, data quality, and model performance. Experimentation & Causality: Design and analyze A/B tests, apply causal inference techniques (e.g., propensity scoring, DiD) to measure true impact. Explain ability, Fairness & Compliance: Apply model cards, SHAP/LIME, bias checks, PII handling, anonymization/pseudonymization, and align with applicable data privacy regulations (e.g., GDPR/DPDP). Visualization & Storytelling: Build insights dashboards (Tableau/Power BI/Plotly) and communicate recommendations to senior business and technical stakeholders. Collaboration & Leadership: Mentor juniors, conduct code and research reviews, contribute to standards, and support solutioning during pre-sales/POCs. Required Skills & Experience Experience: 7-10 years overall, with 5+ years in applied ML/Data Science delivering models to production for enterprise clients. Programming & Data: Expert Python, advanced SQL, and hands-on with Spark/Databricks. Strong software practices (testing, typing, packaging). ML/AI Stack: scikit-learn, XGBoost/LightGBM; PyTorch or TensorFlow; NLP (spaCy, Transformers, embeddings), vector DBs (FAISS/Pinecone), LangChain/LlamaIndex for RAG. Cloud & MLOps: Real-world deployments on AWS/Azure/GCP using SageMaker/Azure ML/Vertex AI; MLflow, model registry, feature store, Docker/K8s, and CI/CD. Experimentation & Analytics: A/B testing, Bayesian/ frequentist methods, causal inference, statistical rigor. Visualization & Communication: Storytelling with data; Tableau/Power BI/Plotly, executive-ready presentations. Domain Exposure (nice-to-have): BFSI risk/collections/CLV, retail demand/personalization, healthcare claims/clinical NLP, manufacturing quality/predictive maintenance. Bonus: Recommenders, time-series, graph ML, optimization (OR), reinforcement learning, geospatial analytics. Education & Certifications Bachelors/Masters in Computer Science, Data Science, Statistics, Applied Math, or related field. Preferred certifications: AWS/Azure/GCP ML, Databricks, TensorFlow or PyTorch.

Develop machine learning models perform data analysis and deliver predictive insights for business growth.send your cv to mohanrajs@cloudnausor.com Role-Data Scientist Location-Bangalore Experience-3-7 Years Salary-8,00,000-20,00,000Skills-Python ML TensorFlow

Key Responsibilities & Duties:Instruction & Curriculum: Deliver lessons on programming, software applications (MS Office), and web technologies, following CBSE curriculum.Practical Training: Guide students in computer lab sessions to develop hands-on skills in coding, hardware, and software troubleshooting.Assessment & Evaluation: Create, administer, and grade tests, assignments, and projects to monitor student progress.Lab Management: Maintain, update, and ensure the safety of computers, printers, and networking equipment.Technical Support: Support students in IT club activities, competitions, and technical projects.Communication: Conduct parent-teacher meetings to discuss student performance and provide progress reports.Required Qualifications & Skills:Education: Bachelors degree in Computer Science (B.Sc/BCA/B.Tech) or IT.Mandatory Training: B.Ed is generally required for TGT roles.Technical Skills: Proficiency in Python, HTML, Java, SQL, and database management.Soft Skills: Strong communication, classroom management, and ability to handle student queries.Experience: Usually 2-5 years of relevant teaching experience is preferred

Job Title: AI ML Internship Company : FinVise AI Tech Pvt LtdLocation: Nagpur (In-office)Type: Full-time InternshipAbout FinVise AI Tech Pvt LtdFinVise is an AI-powered, next-generation FinTech ecosystem transforming how individuals and businesses understand, manage, and grow their money.We are building an integrated financial platform that combines personal finance education, investment analysis, goal-based planning, taxation assistance, and AI-driven financial guidance. Our mission is to make finance simple, intelligent, and accessible through technology, automation, and data-driven insights.The platform leverages conversational AI, modern UI/UX, and intelligent workflows to deliver seamless financial experiences across assets including equities, mutual funds, digital assets, and emerging financial instruments.What youll work on :Develop and integrate AI chatbots across multiple application screensImplement AI-powered workflows within mobile and web applicationsBuild and improve NLP-based conversational systems for smarter user interactionsIntegrate AI APIs into mobile and web platformsOptimize chatbot responses for accuracy, relevance, and performanceCollaborate with product and engineering teams to enable AI capabilities across all app pagesContribute to scalable, AI-driven features powering FinVise productsYoull be a great fit if you have :Strong foundation in Python and backend developmentUnderstanding of Machine Learning and Natural Language Processing (NLP)Experience integrating REST APIsFamiliarity with OpenAI API or similar AI servicesKnowledge of integration testingSelf-learning mindset and ability to work in a fast-paced environmentInterest in building production-grade AI systemsEligibility Criteria:Available for a full-time, in-office internship in NagpurCurrently pursuing or recently completed Computer Science, AI/ML, Data Science, or related fieldsPrior experience with chatbots, AI APIs, or NLP projects is a plusWhat youll get:Certificate of completionLetter of recommendationFlexible work hours5-day work weekOpportunity for full-time job offer upon successful performance

Arque Technologies, a fast-growing EdTech company in the computer education sector, is looking for a passionate AI Trainer to join our team. We specialize in computer book publishing, AI Lab setup, Interactive Panels, and complete AI & STEM solutions for schools. The selected candidate will visit client schools where our AI labs are installed and deliver engaging AI training sessions to students during school hours. Candidates should have a background in Computer Science/IT/AI, basic knowledge of AI concepts, good communication skills, and willingness to travel for this field role. Freshers with strong interest in AI are welcome to apply. We offer competitive salary, travel allowance, and strong career growth opportunities.

A data analyst job description involves collecting, cleaning, and interpreting large datasets to identify trends and provide actionable insights for decision-making. Key responsibilities include preparing data, performing statistical analysis, and communicating findings through reports and dashboards to help businesses improve efficiency and strategy. Analysts use tools like SQL, Python, and Excel to transform raw data into understandable information for both technical and non-technical stakeholders.

Data Scientist, Focus on action-oriented insights through custom quantitative market research.concentration in pharma, biotech, healthcare industry.Candidates will support internal teams and drives strategic decisions by applying advanced analytics and machine learning concepts to solve business problems in pharmaceutical domain.

Nimblix Technologies is Hiring Fresher for Frontend Developer Roles, Interested Candidates Send Your Contact Details and Resume.

We are looking for an analytical and detail-oriented Data Scientist to join our team. The ideal candidate should have strong problem-solving skills, knowledge of data analysis techniques, and the ability to work with real-world datasets to generate meaningful insights.Key ResponsibilitiesCollect, clean, and preprocess structured and unstructured data.Perform data analysis using statistical techniques and machine learning models.Build predictive models using algorithms such as regression, classification, clustering, and time-series forecasting.Visualize data insights using tools like Power BI, Tableau, Matplotlib, or Seaborn.Work with big data tools such as Hadoop, Spark (good to have).Collaborate with cross-functional teams to identify business problems and propose data-driven solutions.Present insights and findings through dashboards, reports, and presentations.Deploy models into production using Python, APIs, or cloud platforms (AWS/Azure/GCP).Continuously evaluate and improve model performance.Required SkillsStrong knowledge of Python or R for data analysis and modeling.Proficiency in libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch (any).Understanding of statistics, probability, and mathematics.Ability to work with SQL databases (MySQL, PostgreSQL).Familiarity with data visualization tools (Power BI, Tableau).Knowledge of machine learning techniques and algorithms.Good communication and problem-solving skills.Contact Person: Rakesh HRContact Number: 9003745749Experience: 0 - 4+ Years Location: CoimbatoreTimings: 09.30 AM - 06.30 PM

About Netra LabsAt Netra Labs, we redefine enterprise AI with our groundbreaking platform, Ground Truth. Our platform transforms expertise into powerful AI agents, enabling businesses to automate complex tasks efficiently. With a user-friendly interface and seamless integration with any language model, Ground Truth empowers system integrators, innovators, and developers to rapidly build and deploy AI solutions. Our commitment to security, scalability, and ROI ensures our clients can trust us with their AI-driven workflows.Role OverviewWe are looking for a highly skilled Python Engineer to lead our backend team and drive the development of scalable, secure, and high-performance AI-powered applications. The ideal candidate will have expertise in data science, a deep understanding of backend development, and hands-on experience with cloud services and DevOps practices. You will work closely with cross-functional teams, ensuring seamless integration between AI models, data pipelines, and enterprise applications.Key Responsibilities Work with the backend development team, ensuring best practices in coding, architecture, and performance optimization. Design, develop, and maintain scalable backend services using Python and FastAPI. Architect and optimize databases, ensuring efficient storage and retrieval of data using MongoDB. Integrate AI models and data science workflows into enterprise applications. Implement and manage AWS cloud services, including Lambda, S3, EC2, and other AWS components. Automate deployment pipelines using Jenkins and CI/CD best practices. Ensure security and reliability, implementing best practices for authentication, authorization, and data privacy. Monitor and troubleshoot system performance, optimizing infrastructure and codebase. Collaborate with data scientists, front-end engineers, and product team to build AI-driven solutions. Stay up to date with the latest technologies in AI, backend development, and cloud computing.Required Skills & Qualifications 3+ years of experience in backend development with Python. Strong experience in FastAPI or other modern Python web frameworks. Proficiency in MongoDB or other NoSQL databases. Hands-on experience with AWS services (Lambda, S3, EC2, etc.). Experience with GitHub Actions and CI/CD pipelines. Data Science knowledge with experience integrating AI models and data pipelines. Strong understanding of RESTful API design, microservices, and event-driven architecture. Experience in performance tuning, caching, and security best practices. Proficiency in working with Docker and containerized applications. Excellent problem-solving skills and ability to lead a team. Strong communication skills to interact with stakeholders and cross-functional teams.Preferred Qualifications Experience with Machine Learning frameworks such as TensorFlow or PyTorch. Knowledge of GraphQL, WebSockets, or gRPC. Familiarity with Terraform or Kubernetes for infrastructure as code. Experience with big data processing frameworks such as Apache Spark.

The role: Earn up to $800 - $1,500 per month (depending on experience) as a Data Scientist at Venture Smarter, your trusted partner in navigating the complex landscape of business growth and transition.As a Data Scientist, you will leverage your skills and expertise in data science, machine learning, and artificial intelligence to extract valuable insights from large and complex data sets. You will work on various projects and initiatives that aim to improve our products and services, enhance customer experience, and drive business growth and innovation.Head on over to search on Google for Venture Smarter then go to our Career page from the homepage if you dare to aspire for better in your career!**** Given the high number of applications we receive, we will only respond to those who meet the qualifications for the positions applied for.Please note that we will not reply to job application inquiries sent to our social media accounts. All communication from us will be conducted via email.If you do not receive a response, you are welcome to re-apply after six months for another suitable position within our company. ****Venture Smarter has been featured in media outlets such as CBS News, Digital Journal, and Go Banking Rates. Check us out youll know were the place to be.What the job entails: Collect, clean, and preprocess data from various sources, such as databases, APIs, web scraping, or surveys Explore and analyze data to discover patterns, trends, and anomalies, and generate hypotheses and questions Build and test predictive models and machine learning algorithms, using tools such as TensorFlow, PyTorch, or Scikit-learn Evaluate and optimize the performance and accuracy of the models and algorithms, and fine-tune the parameters and features Deploy and integrate the models and algorithms into production systems and applications, using tools such as Flask, Docker, or Kubernetes Create and deliver data products and solutions, such as dashboards, reports, and visualizations, using tools such as Plotly, D3.js, or Shiny Communicate and explain complex data and findings to various stakeholders and audiences, using clear and compelling language and visuals Conduct research and experiments on new and emerging data science, machine learning, and artificial intelligence techniques and technologies, and apply them to business problems and opportunitiesJob Requirements: Master's or PhD degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; or equivalent work experience Minimum of 5 years of experience in data science, machine learning, or a similar role, preferably in a tech or consulting industry Expertise in data science, machine learning, and artificial intelligence concepts, methods, and techniques, such as regression, classification, clustering, natural language processing, computer vision, or deep learning Proficient in programming languages and frameworks, such as Python, R, Java, or C++ Proficient in data analysis and manipulation tools and libraries, such as SQL, Pandas, or NumPy Proficient in machine learning and deep learning tools and libraries, such as TensorFlow, PyTorch, Scikit-learn, or Keras Proficient in data visualization and presentation tools and libraries, as Plotly, D3.js, Shiny, or Matplotlib Excellent communication, presentation, and storytelling skills, with the ability to communicate effectively with diverse stakeholders and audiences Strong analytical, problem-solving, and creative thinking skills, with the ability to use data and logic to support decisions and recommendations Ability to work in a fast-paced, dynamic, and innovative environment, and manage multiple projects and deadlines Curiosity, passion, and enthusiasm for data science, machine learning, and artificial intelligence, and their applications and implications

Veltris is a Digital Product Engineering Services partner committed to driving technology-enabled transformation across enterprises, businesses, and industries. We specialize in delivering next-generation solutions for sectors including healthcare, technology, communications, manufacturing, and finance. With a focus on innovation and acceleration, Veltris empowers clients to build, modernize, and scale intelligent products that deliver connected, AI-powered experiences. Our experience-centric approach, agile methodologies, and exceptional talent enable us to streamline product development, maximize platform ROI, and drive meaningful business outcomes across both digital and physical ecosystems. In a strategic move to strengthen our healthcare offerings and expand industry capabilities, Veltris has acquired BPK Technologies. This acquisition enhances our domain expertise, broadens our go-to-market strategy, and positions us to deliver even greater value to enterprise and mid-market clients in healthcare and beyond. Position: Senior Data ScientistResponsibilities: Design predictive models for trajectory forecasting, traffic participants behavior, and crossing probabilities. Develop risk scoring mechanisms using time-shifted risk prediction and sliding time windows. Implement multi-agent reinforcement learning (MARL) frameworks to simulate and train cooperative behaviors. Work with simulation teams to integrate ground truth scenarios and replayable datasets. Build scoring algorithms for different data dimensions based on the severity and impact. Evaluate model performance using precision, recall, and event-level accuracy. Collaborate with data engineers to define feature pipelines and streaming inputs.Requirements:5+ years of experience in applied data science, preferably in real-time or simulation-based environments.Strong proficiency in Python, NumPy, Pandas, and deep learning frameworks like PyTorch or TensorFlow.Experience with time-series analysis, Bayesian models, or probabilistic forecasting.Understanding of reinforcement learning, especially in multi-agent settings.Knowledge of vehicle kinematics, trajectory forecasting, or intelligent transportation systems.Disclaimer: The information provided herein is for general informational purposes only and reflects the current strategic direction and service offerings of Veltris. While we strive for accuracy, Veltris makes no representations or warranties regarding the completeness, reliability, or suitability of the information for any specific purpose. Any statements related to business growth, acquisitions, or future plans, including the acquisition of BPK Technologies, are subject to change without notice and do not constitute a binding commitment. Veltris reserves the right to modify its strategies, services, or business relationships at its sole discretion. For the most up-to-date and detailed information, please contact Veltris directly.

Role: Research Programmer(Python)Industry Type: IT Services & ConsultingDepartment: Research & DevelopmentEmployment Type: Full Time, PermanentSalary: NegotiableJob Description:We are seeking a Machine Learning Research Assistant to support our Research and Development (R&D) projects in the field of AI and data-driven PhD research. The role involves developing, testing, and implementing machine learning models, data analysis, and assisting in the preparation of academic research papers and technical documentation.Key Responsibilities: Assist in designing and implementing machine learning algorithms and deep learning models for research applications. Conduct data preprocessing, feature engineering, and model evaluation. Perform literature reviews to identify trends and methods relevant to ongoing research projects. Support PhD researchers with technical coding assistance and research data analysis. Prepare research reports, documentation, and result visualizations. Collaborate with the R&D team to explore new technologies and research directions in AI and ML.Required Skills: Strong programming skills in Python, NumPy, Pandas, TensorFlow, or PyTorch. Knowledge of machine learning algorithms, data analytics, and model optimization. Experience with research writing or academic publications is a plus. Strong analytical, problem-solving, and communication skills.Best Regards,Anand Kumar LHRPanacorp Software Solutions

We are looking for 3 LAB Technician Posts in Kozhikode/Calicut, with deep knowledge in Soil Science, Technician Activities, Material Testing, Data Analysis, Sampling, Preparation, Equipment Maintenance, LAB Testing and Required Educational Qualification is : Other Bachelor Degree

Job Title: Data ScientistLocation: [Nagercoil]Job Type: Full-TimeExperience: 03 years (Freshers can apply if skilled)Salary: [1.5 - 2.5] LPAAbout the Role:We are seeking a skilled and analytical Data Scientist to join our team. You will work on extracting insights from large datasets, building predictive models, and supporting data-driven decisions. The ideal candidate has a strong foundation in statistics, machine learning, and programming.Responsibilities:Collect, clean, and analyze structured and unstructured dataDevelop and deploy machine learning models and algorithmsVisualize data and present insights using tools like Power BI, Tableau, or matplotlibCollaborate with teams to understand business needs and translate them into data solutionsConduct A/B testing and statistical analysis to evaluate strategiesMonitor model performance and maintain data pipelinesRequirements:Bachelor's/Master's in Computer Science, Data Science, Statistics, or related fieldProficiency in Python, R, or SQLExperience with ML frameworks (e.g., Scikit-learn, TensorFlow, Keras)Strong knowledge of statistics and data wranglingFamiliarity with databases and cloud services (e.g., AWS, GCP, Azure) is a plusGood communication and problem-solving skillsPreferred Skills:Knowledge of NLP, deep learning, or computer visionExperience with big data tools like Spark or HadoopHands-on with Git, Jupyter Notebooks, and APIsNote: Freshers with strong projects or certifications are welcome to apply.