Data Scientist Jobs

We are looking for a Data Scientist with 3 to 5 years of experience to join our team in Pune. The ideal candidate will be responsible for analyzing complex data sets to help drive business strategies and decisions.- **Data Collection and Preparation**: Gather and clean large data sets from various sources. This involves ensuring that the data is accurate and ready for analysis.- **Data Analysis**: Use statistical methods to interpret data and identify trends. This will help the business understand patterns and make informed decisions.- **Model Development**: Build predictive models using machine learning techniques. The models will be used to forecast outcomes and enhance business strategies.- **Visualization**: Create visual representations of data findings. Use tools and software to present data in a clear and engaging way to stakeholders.- **Collaboration**: Work closely with cross-functional teams, including engineers and business analysts. This collaboration is essential for integrating data insights into projects and strategies.- **Continuous Learning**: Stay updated with the latest data science trends and tools. This will ensure that the application of methods and technologies remains relevant and effective.The ideal candidate should possess strong programming skills in languages such as Python or R, experience in working with databases, and proficiency in statistical analysis. Strong problem-solving skills, attention to detail, and effective communication abilities are crucial for conveying complex data insights to non-technical audiences. A passion for data-driven decision-making and a proactive approach to challenges are expected.

Key ResponsibilitiesDesign, develop, and deliver training programs in Data Science, Machine Learning, Artificial Intelligence, and related technologies.Conduct instructor-led classroom, virtual, and blended learning sessions.Create training materials, presentations, assignments, assessments, and project work.Teach programming concepts using Python, R, SQL, and other relevant tools.Train learners on data analysis, data visualization, statistical modeling, and predictive analytics.Guide students through real-world case studies, capstone projects, and practical exercises.Evaluate learner progress and provide constructive feedback and mentoring.Stay updated with emerging trends, tools, and best practices in data science and AI.Collaborate with academic, corporate, or training teams to improve course content and delivery methods.Support learners with career guidance, interview preparation, and portfolio development.

Looking for AI Trainer for IT Institute with good practical knowledge and good in communication and personality.

GIIT Computer Education is hiring a full-time Computer Teacher for its Ghosi, Mau campus for immediate joining. Job OverviewRole: Computer Teacher / Faculty (Full-Time)Timings: 8:00 AM to 5:00 PMSalary:

We are looking for a Lead Data Scientist with 10 to 12 years of experience to join our team in Pune. This full-time position requires a strong background in data analysis and machine learning, along with excellent leadership skills.**Key Responsibilities:**- **Team Leadership:** Guide and mentor a team of data scientists to foster a collaborative environment and encourage skill development.- **Project Management:** Oversee data science projects from conception to completion, ensuring timely delivery and adherence to project goals.- **Data Analysis:** Analyze complex datasets to identify trends, patterns, and insights that can drive business decisions.- **Model Development:** Develop and deploy machine learning models that solve practical business problems and improve operational efficiency.- **Collaboration:** Work closely with cross-functional teams, including engineering and business units, to translate data findings into actionable strategies.- **Research and Innovation:** Stay updated with the latest industry trends and integrate cutting-edge techniques into the team's workflows.To succeed in this role, you should have advanced expertise in machine learning algorithms and statistical analysis. A Master's degree in a relevant field, such as M.Tech, is required. Strong programming skills in Python or R, along with experience in big data technologies, are essential. Excellent communication abilities are necessary to convey technical concepts to non-technical stakeholders. You should also possess strong problem-solving skills and a passion for data-driven decision-making.

We are Looking for a Trainer to Teach Data Science.Your Job Would Require Teaching Students the Skills that are Required to Get a Job in the It Industry.

We are seeking an Annotation Ops Manager to lead our annotation team in Bhubaneswar. This role is essential for ensuring high-quality data annotation processes for our projects. The ideal candidate should have 4-6 years of relevant experience and hold a Post Graduate Diploma, M.C.A, M.B.A/PGDM, MD/Medicine Doctor, or M.Tech.**Key Responsibilities:**- **Team Leadership:** Oversee and manage the annotation team, providing guidance and support to ensure high-quality output.- **Process Optimization:** Analyze current workflows and implement improvements to enhance efficiency and accuracy in annotation processes.- **Quality Control:** Establish and maintain quality assurance protocols to ensure that annotation standards are consistently met.- **Project Management:** Coordinate with cross-functional teams to align on project requirements and timelines, ensuring all annotations are delivered on schedule.- **Training and Development:** Conduct training sessions for the team to keep them updated on best practices and new technology in annotation.- **Performance Monitoring:** Track team performance metrics and provide feedback to motivate and improve individual contributions.**Required Skills and Expectations:**Candidates should have a strong background in data management and annotation, coupled with excellent leadership skills. Proficiency in project management tools and techniques is essential. The ability to analyze data and derive actionable insights is highly valued. Effective communication skills are necessary to liaise with team members and other stakeholders. Applicants should also demonstrate problem-solving capabilities and adaptability in a fast-paced work environment. A proactive approach to learning and applying new technologies will be a significant advantage in this role.

**Requirement of Faculty for B.Tech Computer Science & Engineering (CSE) Department**The Department of Computer Science & Engineering (CSE) requires qualified and competent faculty members to effectively conduct academic, laboratory, research, and mentoring activities of the B.Tech program. The department offers courses in core and emerging areas such as Programming, Data Structures, Database Management Systems, Operating Systems, Computer Networks, Artificial Intelligence, Machine Learning, Data Science, Cyber Security, Cloud Computing, and Internet of Things.The proposed faculty members shall be responsible for delivering lectures, conducting practical sessions, preparing course materials, evaluating student performance, guiding projects, and mentoring students. They will also contribute to curriculum development, research activities, industry interaction, innovation, and skill development programs. Faculty participation in accreditation processes, quality assurance activities, and university-related academic work is also essential.Candidates should possess qualifications as prescribed by AICTE and the affiliating university, with strong subject knowledge, effective communication skills, and a commitment to academic excellence. Preference may be given to candidates having research publications, industry experience, patents, funded projects, or expertise in emerging technologies.The appointment of additional faculty is necessary to maintain the prescribed student-faculty ratio, ensure effective teaching-learning processes, strengthen research and innovation activities, and support the overall academic growth and development of the B.Tech CSE Department.

Clustering, Python, SQL, Statistical Analysis, Qlik Sense, RAG, LLM, Evaluation Packages, PIP Installation, ability to create custom APIs, LangChain, Cognitive Layer, GCP, Chunking Strategy, Tokenization , Deployment.Spark and Alteryx

Full time trainer of Data analytics and data science

We are seeking a dedicated Software Trainee to join our dynamic team in Nagpur. This is an exciting opportunity for freshers who are eager to learn and grow in the field of software development.**Key Responsibilities:**- **Assist in Development Projects:** Collaborate with senior developers to maintain and develop software applications, gaining hands-on experience in coding and debugging. - **Participate in Code Reviews:** Engage in code review sessions to understand industry best practices and improve your coding skills under guidance. - **Conduct Software Testing:** Involve yourself in testing software applications for bugs or errors, helping to ensure that they meet quality standards before release. - **Documentation:** Document code changes and create user manuals to support further development and guide users in understanding the software. - **Learn New Technologies:** Stay updated with the latest software development trends and tools to bring innovative solutions to projects.**Required Skills and Expectations:**- **Educational Background:** A degree in Computer Science or a related field is preferred. - **Basic Programming Knowledge:** Familiarity with programming languages such as Java, C++, or Python is essential. - **Analytical Skills:** Strong problem-solving abilities and a keen interest in learning new technologies. - **Team Player:** Ability to work collaboratively within a team environment and engage in constructive discussions. - **Communication Skills:** Good verbal and written communication skills to effectively share ideas and collaborate with peers. - **Willingness to Learn:** A positive attitude towards learning and adapting to new challenges in a fast-paced environment.

An Associate Data Scientist (Fresher) assists in cleaning, analyzing, and modeling structured/unstructured data to derive business insights. They use Python/SQL, machine learning frameworks, and visualization tools (Tableau/Power BI) to build prototypes, under guidance, to address business problems, requiring strong analytical skills and a desire to learn.

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

A Data Science Trainer for freshers instructs learners in Python, SQL, machine learning, and data visualization via engaging classroom or online sessions. They develop curriculum, guide hands-on projects, provide feedback, and mentor students to industry readiness. Ideal candidates have strong technical fundamentals and excellent communication skills

We are looking for a motivated Data Scientist to join our team in a part-time capacity. This position allows you to work from home and is suitable for individuals with 0 to 2 years of experience. As a Data Scientist, your role will involve analyzing data to help guide business decisions.**Key Responsibilities:**- **Data Collection:** Gather data from various sources, ensuring it is relevant and accurate for analysis. This step is crucial to provide a solid foundation for your work.- **Data Cleaning:** Prepare the data by removing inaccuracies and duplicates, making it suitable for analysis. Clean data is essential for generating reliable results.- **Data Analysis:** Utilize statistical methods and tools to interpret complex data sets. The goal is to identify trends, patterns, and insights that can inform decision-making.- **Reporting Results:** Create clear and understandable reports to communicate your findings to team members and stakeholders. Good reporting ensures that valuable insights are effectively shared.- **Collaboration:** Work with other team members to understand their data needs and provide support. Collaboration enhances the overall quality of the analysis.**Required Skills and Expectations:**- Basic knowledge of data analysis tools and programming languages such as Python or R is preferred.- Strong analytical thinking and problem-solving skills to interpret data effectively.- Good communication skills to present information clearly.- Familiarity with statistical concepts and methodologies will be an advantage.- A proactive approach to learning and improving data skills is essential for success in this role.

We are looking for a motivated and detail-oriented Data Scientist to join our team part-time. This position is suitable for candidates with minimal experience, including fresh graduates or those with a passion for data analysis.**Key Responsibilities:**- **Data Collection:** Gather data from various sources to build a comprehensive dataset needed for analysis. This can involve working with databases, spreadsheets, and online data sources.- **Data Cleaning:** Ensure data quality by identifying and correcting errors or inconsistencies in the data. Proper cleaning is essential for accurate analysis and results.- **Data Analysis:** Use statistical techniques to analyze the collected data and uncover patterns or insights. This could involve generating reports or visualizations to communicate findings clearly.- **Model Development:** Assist in developing predictive models that can help in decision-making processes. This may include using machine learning algorithms to create models based on the analyzed data.- **Collaboration:** Work with team members to understand business needs and provide data-driven solutions. Effective communication and teamwork are important to align data insights with business goals.**Required Skills and Expectations:**Candidates should have a strong interest in data and analytics. Familiarity with programming languages such as Python or R is a plus. Basic understanding of statistics and experience with data analysis tools (like Excel or SQL) will be beneficial. The ideal candidate should be organized, detail-oriented, and able to work independently from home while managing their time effectively. Strong problem-solving skills and a willingness to learn new techniques are also essential to succeed in this role.

As an AI Engineer in Pune, you will be responsible for developing and implementing AI models and algorithms to solve complex problems. You will work closely with cross-functional teams to create innovative solutions that enhance the company's products and services.**Key Responsibilities:**- **Develop AI Models:** Create and deploy machine learning models that meet project requirements, utilizing frameworks like TensorFlow or PyTorch.- **Data Analysis and Processing:** Analyze large datasets to extract insights and preprocess data to ensure it is suitable for training AI models.- **Collaborate with Teams:** Work with software engineers and data scientists to integrate AI solutions into existing systems, ensuring seamless functionality.- **Performance Tuning:** Regularly evaluate the performance of AI models and tune them for better accuracy and efficiency based on feedback and evolving data.- **Stay Updated on Trends:** Keep abreast of the latest developments in artificial intelligence and machine learning to continually improve processes and techniques.**Required Skills and Expectations:**- A bachelor's or master's degree in Computer Science, Data Science, or a related field is essential.- A minimum of 3 to 5 years of experience in AI or related fields, demonstrating a strong understanding of machine learning concepts.- Proficiency in programming languages such as Python or Java, along with experience in machine learning libraries and tools.- Strong analytical skills with the ability to interpret data and provide actionable insights.- Excellent communication skills to explain complex AI concepts to non-technical stakeholders and collaborate effectively with teams.