2369 Matplotlib Jobs

Data Science Intern 📍 Location: Remote (Work From Home) 📅 Duration: 3 Months 💸 Stipend (Top Performers): ₹15,000 🎁 Perks: Internship Certificate | Letter of Recommendation | Full-Time Offer (Based on Performance) About INLIGHN TECH INLIGHN TECH provides hands-on, project-driven virtual internships that bridge the gap between academics and industry. The Data Science Internship is designed to help students and graduates apply machine learning, statistics, and programming to solve real-world problems. 🚀 Internship Overview As a Data Science Intern , you will gain experience in collecting, cleaning, analyzing, and modeling data to extract actionable insights. You’ll explore statistical methods, machine learning algorithms, and visualization techniques while working on real datasets. ✅ Qualifications Pursuing or recently completed a degree in Computer Science, Data Science, Statistics, Mathematics, or related fields Proficiency in Python (NumPy, Pandas, Matplotlib, Scikit-learn) Basic understanding of machine learning concepts Familiarity with SQL and data manipulation Knowledge of data visualization tools (Power BI, Tableau, or Python libraries) Strong analytical mindset and problem-solving skills 🎓 What You’ll Gain Practical exposure to data analysis, visualization, and machine learning Experience with real-world datasets and end-to-end projects Internship Certificate & Letter of Recommendation A portfolio of projects to showcase your data science skills Foundation for careers in Data Science, AI, and Machine Learning

Company: Pixeltalent Lab Location: Remote Duration: 1–3 Months Stipend: ₹15,000 (Fixed) Perks: Certificate | Letter of Recommendation | Hands-on Training About Pixeltalent Lab Pixeltalent Lab offers project-based internships designed to help aspiring tech professionals gain hands-on experience in real-world applications. Our Data Analyst Internship focuses on data cleaning, visualization, and actionable insights using Python-based tools and libraries. Role Overview As a Data Analyst Intern, you’ll work on collecting, processing, and analyzing datasets to uncover trends and support data-driven decision-making. You’ll gain practical exposure to tools like Pandas, NumPy, and Matplotlib, along with experience in SQL and dashboard creation. Key Responsibilities Clean, transform, and analyze structured and unstructured datasets Perform exploratory data analysis (EDA) to identify patterns and insights Create visualizations using Matplotlib, Seaborn, or Plotly Write SQL queries to extract and manipulate data from relational databases Document findings and present insights through reports or dashboards Collaborate with mentors to refine analytical approaches and improve data workflows Requirements Pursuing or recently completed a degree in Data Science, Computer Science, Statistics, or related field Proficiency in Python and familiarity with data libraries (Pandas, NumPy, etc.) Basic understanding of SQL and data querying techniques Exposure to data visualization tools and techniques Strong analytical thinking and attention to detail Ability to work independently and meet project deadlines What You’ll Gain Practical experience in data analysis and visualization Internship Completion Certificate Letter of Recommendation for top performers Exposure to real-world datasets and analytical workflows A portfolio of data projects and GitHub contributions

Company: Pixeltalent Lab Location: Remote Duration: 1–3 Months Stipend (Top Performers): ₹15,000 Perks: Certificate | Letter of Recommendation | Hands-on Training About Pixeltalent Lab Pixeltalent Lab offers project-based internships designed to equip aspiring data professionals with practical, industry-relevant experience. Our Data Science Internship focuses on solving real-world problems using data-driven approaches, preparing candidates for roles in analytics, machine learning, and business intelligence. Role Overview As a Data Science Intern, you’ll work with structured and unstructured datasets, apply statistical and machine learning techniques, and deliver insights that support data-informed decisions. This internship is ideal for candidates looking to build a strong foundation in applied data science. Key Responsibilities Collect, clean, and preprocess data for analysis Perform exploratory data analysis and feature engineering Build and evaluate models for classification, regression, and clustering Visualize data using Python libraries or BI tools Document findings and present insights to internal teams Collaborate on live projects with peers and mentors Requirements Pursuing or recently completed a degree in Data Science, Computer Science, Statistics, or a related field Proficiency in Python and libraries such as Pandas, NumPy, Matplotlib, Scikit-learn Familiarity with machine learning algorithms and model evaluation techniques Basic understanding of SQL and data querying Strong analytical mindset and attention to detail Willingness to learn and adapt in a fast-paced environment What You’ll Gain Hands-on experience with real datasets and tools Internship Completion Certificate Letter of Recommendation for top performers Exposure to collaborative data workflows A portfolio of completed data science projects

In this role, you will be responsible for: - Building & maintaining ETL/ELT pipelines to ensure data accuracy and quality. - Working with large datasets to collect, clean, and prepare data for analysis. - Designing & implementing predictive models and collaborating with Data Science teams. - Creating dashboards & reports using tools like Tableau, Power BI, matplotlib, and Seaborn. - Working with cloud platforms such as AWS, Azure, GCP, and databases like SQL, MongoDB, PostgreSQL, and MySQL. - Collaborating with cross-functional teams to solve business problems using data. Preferred Skills: - Proficiency in Big Data tools like Spark, Hadoop. - Experience with ML Frameworks such as TensorFlow, PyTorch, Scikit-learn. - Strong programming skills in Python/R, particularly with Pandas and NumPy. - Knowledge of data engineering & warehousing concepts. As for additional details of the company, there is a focus on employee well-being and growth opportunities, including: - Health Insurance - Occasional WFH options as per policy - Paid time-off for personal needs - Exposure to client interactions & real-world business challenges - Opportunity to work on cutting-edge cross-functional projects Please note that this is a full-time position with the work location being in person.,

As a Full Stack Developer AI/ML at our company located in Jodhpur, you will have the exciting opportunity to work on cutting-edge AI-powered applications, develop and deploy ML models, and integrate them into full-stack web solutions. Here's what you can expect in this role: Key Responsibilities: - Design, develop, and deploy AI/ML models for real-world applications. - Work with Python, TensorFlow, PyTorch, Scikit-Learn, and OpenCV for machine learning tasks. - Develop RESTful APIs to integrate AI models with web applications. - Implement and maintain backend services using Node.js, FastAPI, or Flask. - Build and enhance frontend UIs using React.js, Vue.js, or Angular. - Manage databases (SQL & NoSQL like PostgreSQL, MongoDB, Firebase) for storing model outputs. - Optimize AI models for performance, scalability, and deployment using Docker, Kubernetes, or cloud services (AWS, GCP, Azure). - Work on data preprocessing, feature engineering, and model evaluation. - Deploy models using MLOps pipelines (CI/CD, model versioning, monitoring). - Collaborate with cross-functional teams for AI integration into business applications. Required Skills & Qualifications: - 0-1 year of experience in AI/ML and full-stack development. - Strong proficiency in Python, TensorFlow, PyTorch, Scikit-Learn, Pandas, NumPy. - Experience with backend development (Node.js, FastAPI, Flask, or Django). - Knowledge of frontend frameworks (React.js, Vue.js, or Angular). - Familiarity with database management (SQL - PostgreSQL, MySQL | NoSQL - MongoDB, Firebase). - Understanding of machine learning workflows, model training, and deployment. - Experience with cloud services (AWS SageMaker, Google AI, Azure ML). - Knowledge of Docker, Kubernetes, and CI/CD pipelines for ML models. - Basic understanding of Natural Language Processing (NLP), Computer Vision (CV), and Deep Learning. - Familiarity with data visualization tools (Matplotlib, Seaborn, Plotly, D3.js). - Strong problem-solving and analytical skills. - Good communication and teamwork skills. Preferred Qualifications: - Experience with LLMs (GPT, BERT, Llama) and AI APIs (OpenAI, Hugging Face). - Knowledge of MLOps, model monitoring, and retraining pipelines. - Understanding of Reinforcement Learning (RL) and Generative AI. - Familiarity with Edge AI and IoT integrations. - Previous internship or project experience in AI/ML applications. In this role, you will receive a competitive salary package, hands-on experience with AI-driven projects, mentorship from experienced AI engineers, a flexible work environment (Remote/Hybrid), and career growth and learning opportunities in AI/ML.,

As a Data Scientist Engineer, your role involves designing scalable machine learning architectures and implementing data science solutions for complex business problems. You will be responsible for key tasks such as model development, data preprocessing, model training, evaluation & optimization, model deployment, cross-functional collaboration, research & innovation, and documentation. Key Responsibilities: - Design and implement machine learning models to address business challenges effectively. - Clean, preprocess, and analyze large-scale datasets for extracting insights and engineering model features. - Train and fine-tune ML models using deep learning, regression, classification, and ensemble techniques. - Evaluate model performance and improve accuracy, efficiency, and scalability. - Deploy ML models into production environments; monitor and retrain models as needed. - Collaborate with engineers, data scientists, and stakeholders to integrate ML solutions. - Stay current with the latest trends in AI/ML and contribute to knowledge sharing. - Maintain thorough documentation of models, workflows, and processes. Qualifications: - Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, or a related field - 6-10 years of industry experience in data science, machine learning, or related domains Must-Have Skills: - Experience in Time Series Forecasting, Regression, and Classification models - Proficient in Python, R, and Data Analysis - Strong experience with Pandas, NumPy, Matplotlib for large data handling - Version control tools like Git - ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Keras - Exposure to Cloud Platforms: AWS / Azure / GCP - Experience with Docker and Kubernetes - Hands-on in Data Collection, Feature Engineering, Model Selection, Evaluation, and Deployment Good to Have: - Exposure to Big Data tools such as Hadoop, Spark - BFSI / Banking domain experience - Familiarity with additional AI/ML libraries and tools beyond the mentioned frameworks In addition to the technical skills required for the role, you should be open to working on a contractual or temporary basis with a contract length of 6 months. You may be based in Noida with the requirement of working from the office twice a week and flexibility for travel as needed.,

As an Associate Consultant/Consultant, you will play a crucial role in designing and implementing AI/ML models and data-driven solutions to tackle intricate challenges in healthcare and life sciences. Your responsibilities will include analyzing large datasets to identify trends, generate insights, and support data-informed decision-making. Additionally, you will collaborate with consultants, data engineers, and scientists to establish end-to-end data pipelines and analytical workflows. Your key responsibilities will involve: - Designing and implementing AI/ML models and data-driven solutions for complex challenges in healthcare and life sciences - Analyzing large datasets to identify trends, generate insights, and support data-informed decision-making - Collaborating cross-functionally with consultants, data engineers, and scientists to build end-to-end data pipelines and analytical workflows - Engaging with clients through interviews, workshops, and presentations to contribute to deliverables and foster strong relationships - Communicating complex analyses into clear, actionable insights for both technical and non-technical stakeholders - Continuously learning about AI/ML advancements, contributing to research and proposals, and mentoring junior team members Qualifications required for this role include proficiency in Machine Learning, Python, Gen AI, and Consulting/Stakeholder Management. Desirable technical skills encompass proficiency in Python, experience with frameworks like TensorFlow, PyTorch, or scikit-learn, working with generative AI models such as GPT, BERT, LLaMA, or other transformer-based architectures, developing, testing, and deploying high-quality AI models and solutions, data manipulation, cleaning, and analysis proficiency, creating clear visualizations using tools like Matplotlib, Seaborn, or Tableau, and familiarity with cloud services like AWS, Google Cloud, or Azure for deploying AI solutions.,

Job Description AI Engineer We are seeking a motivated and curious Junior AI and Data Science Engineer to join our growing team. In this role, you will support the development and deployment of machine learning models, contribute to data analysis projects, and help build intelligent systems that drive business insights and innovation. This is an excellent opportunity for early-career professionals who are passionate about AI, machine learning, and data science, and are eager to grow their skills in a collaborative and fast-paced environment. Key Responsibilities Assist in designing, developing, and deploying machine learning models and AI solutions. Perform data cleaning, preprocessing, and exploratory data analysis (EDA). Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions. Support the development of data pipelines and model monitoring systems. Document processes, models, and findings clearly and concisely. Stay up to date with the latest trends and advancements in AI and data science. Responsibilities Requirements: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. 2+ years of experience in AI/ML development, with a strong focus on NLP and LLMs. Proven experience deploying AI/ML models in production environments. Proficiency in Python (e.g., NumPy, pandas, scikit-learn, TensorFlow or PyTorch). Familiarity with SQL and data visualization tools (e.g., Matplotlib, Seaborn, Power BI). Understanding of machine learning concepts and statistical analysis. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Qualifications Preferred Knowledge and Experience: Internship or project experience in AI, machine learning, or data science. Exposure to cloud platforms (e.g., AWS, Azure, GCP). Experience with version control systems like Git. Competencies: Self-motivated, able to multitask, prioritize, and manage time efficiently Strong problem-solving skills Data analysis skills. Ability to analyze complex data and turn it into actionable information Collaboration and teamwork across multiple functions and stakeholders around the globe Flexibility and adaptability About Us onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world’s most complex challenges and leads the way in creating a safer, cleaner, and smarter world. More details about our company benefits can be found here: https://www.onsemi.com/careers/career-benefits About The Team We are committed to sourcing, attracting, and hiring high-performance innovators, while providing all candidates a positive recruitment experience that builds our brand as a great place to work.

We are looking for a highly experienced Data Scientist to lead data-driven initiatives and deliver scalable machine learning solutions to complex business problems. The ideal candidate will combine technical depth in ML/AI with strong business acumen, driving impact through advanced analytics, feature engineering, and model deployment. Key Responsibilities Partner with stakeholders to understand business objectives and translate them into data science solutions. Lead the end-to-end lifecycle of data science projects — from problem framing, data exploration, and feature engineering to model development, validation, and production deployment. Apply advanced ML algorithms (XGBoost, LightGBM, CatBoost, etc.) to solve classification, regression, and forecasting problems. Conduct clustering and unsupervised learning (KMeans, DBSCAN, hierarchical clustering) for segmentation, anomaly detection, and pattern recognition. Optimize models for accuracy, interpretability, and scalability in production environments. Build reproducible, well-documented data science workflows and collaborate closely with engineering teams on deployment. Mentor and guide junior data scientists, setting best practices in experimentation, evaluation, and MLOps. Communicate findings and recommendations to technical and non-technical stakeholders through compelling visualizations and narratives. Required Skills & Qualifications 8–12 years of professional experience in Data Science, Machine Learning, or Applied AI. Strong expertise in ML algorithms (XGBoost, LightGBM, CatBoost, ensemble methods). Solid experience in feature engineering, data preprocessing, and statistical modeling. Proficiency in clustering (KMeans, DBSCAN, etc.) and unsupervised learning techniques. Hands-on programming skills in Python (pandas, scikit-learn, NumPy, matplotlib, seaborn). Familiarity with MLOps tools, cloud platforms (AWS, Azure, GCP), and version control. Strong problem-solving skills with the ability to link analytics outcomes to business impact. Excellent communication and leadership skills with experience leading cross-functional projects.

As a Data Scientist / Research Scientist, you will work on generating cohorts, and developing and validating machine learning models using EHR and clinical datasets. You will be responsible for data preprocessing, exploratory analysis, feature engineering, model development, and documentation of your findings. You’ll collaborate closely with domain experts, engineers, and stakeholders to deliver impactful AI solutions for disease prediction and personalized medicine. Key Responsibilities Execute end-to-end data science projects involving clinical data. Process and analyze complex datasets, including EHR and other real-world data sources. Develop predictive models using machine learning frameworks (e.g., BERT, CNN, etc.). Conduct exploratory data analysis and statistical hypothesis testing. Communicate findings via well-documented code, reports, and presentations. Collaborate with cross-functional teams, including clinicians, engineers, and product managers. Stay up-to-date with advances in machine learning, healthcare AI, and relevant research. Required Qualifications PhD or a Master’s degree (with 2–3 years of relevant experience) in Data Science, Biological Sciences, Computational Biology, or a related discipline. Candidates with a degree in Computer Science and demonstrated experience working with biological or clinical data are also encouraged to apply. Strong proficiency in Python, especially for data analysis (e.g., pandas, PyTorch, matplotlib, sci-kit-learn). Experience working with biological, clinical, or healthcare-related datasets in academia or industry. Solid understanding of statistical concepts and ability to apply them practically. Strong communication skills with an ability to document and explain technical work clearly. Preferred Qualifications (Nice to Have) Hands-on experience working with real-world or EHR data (structured/unstructured). Published or contributed to academic/industry research projects. Demonstrated use of programming/coding in research or work projects (GitHub, papers, or project links). Familiarity with healthcare data standards such as ICD, CPT, LOINC, HL7, or FHIR. Experience with ML pipelines and tools like scikit-learn, TensorFlow, PyTorch, or similar. Experience with Git or other version control systems.

Job Title: Data Science Intern - AI/ML Solutions Job Type: Internship (On-Site - West Delhi) Duration: 6 Months Location: Delhi Pre Placement Offer (Based on performance) To apply kindly Fill this form - https://forms.gle/ytAXm9wdaMcVT1XT6 At FloData Analytics, we’re seeking a versatile Data Science Intern with curiosity across Machine Learning, Computer Vision, and Generative AI. The ideal candidate should demonstrate curiosity and adaptability in exploring diverse AI applications, from classical ML algorithms to cutting-edge generative models and vision systems. You’ll work on real-world, cross-domain projects, combining analytical rigor with creative problem-solving and clear communication. We value self-motivation, continuous learning, and the ability to work both independently and collaboratively in a dynamic environment. Key Responsibilities Assist in developing end-to-end AI solutions across multiple domains - classical machine learning, computer vision, and generative AI applications, working with both structured and unstructured data Build robust data pipelines to preprocess, clean, and transform diverse data types (text, images, time-series), ensuring high-quality inputs for modeling; conduct in-depth exploratory data analysis (EDA) to uncover patterns Implement and optimize models, ranging from traditional algorithms to advanced architectures (e.g., CNNs, transformers), tailored to project requirements; benchmark and evaluate model performance to ensure scalability, accuracy, and efficiency. Exposure to advanced AI methodologies, including transfer learning, prompt engineering, and retrieval-augmented generation (RAG). Assist in deploying AI solutions using web frameworks (Streamlit/Flask/FastAPI) to create interactive applications with integrated AI capabilities Collaborate with senior data scientists on cross-functional projects combining vision, language, and predictive analytics components Skills Required Education: Pursuing a degree/Graduate in Data Science, Computer Science, Mathematics, or a related field Programming: Strong Python proficiency with NumPy, Pandas, Matplotlib/Seaborn; decent SQL expertise Machine Learning: Understanding of supervised/unsupervised algorithms, statistical concepts, probability distributions, hypothesis testing, and time series analysis Deep Learning: Experience with TensorFlow/PyTorch; Understanding of neural network architectures (CNNs, transformers) Computer Vision: Familiarity with OpenCV, object detection (YOLO), OCR, and segmentation techniques NLP & Generative AI: Knowledge of text preprocessing, embeddings, LLMs, prompt engineering, and RAG system Good to Have Experience with AI frameworks (LangChain, LamaIndex, Crew AI) Speech recognition models (OpenAI Whisper) Automation tools (n8n) and containerization (Docker) Portfolio demonstrating cross-domain AI projects Version control with Git Job Types: Full-time, Internship Contract length: 3 months Pay: ₹10,000.00 - ₹15,000.00 per month Work Location: In person

Job Title: Data Science Trainer Location: Jammu, J&K Job Type: Full Time About Roles and Responsibilities: Conduct engaging data science training sessions (in-person and/or online) for college students, covering fundamentals and advanced topics (programming, statistics, machine learning, data visualization, etc.). Manage and mentor industrial or capstone projects for students: liaise with industry partners, define project scope, plan tasks, and ensure timely, high-quality delivery of real-world projects. Provide one-on-one counseling and academic guidance to prospective and current students, including career advice, curriculum explanation, and addressing student queries. Handle the student enrollment process independently: follow up on leads, explain program details, and convert interested candidates into enrolled students, thereby contributing to revenue targets. Develop and update training materials and curriculum to reflect the latest data science tools, technologies, and industry trends. Assess student progress through evaluations, projects, and exams, providing constructive feedback and support for improvement. Collaborate with cross-functional teams (admissions, marketing, curriculum development) to align training objectives with company goals and student needs. Work autonomously without constant supervision, effectively managing your schedule and responsibilities while meeting training and enrollment milestones. Required Skills Proficiency in data science programming languages (e.g. Python, R, SQL) and experience with machine learning libraries/frameworks (e.g. scikit-learn, TensorFlow, PyTorch). Strong statistical knowledge and hands-on experience with data analysis techniques and data visualization tools (e.g. Matplotlib, Seaborn, Tableau). Proven project management and organizational skills, including planning, executing, and delivering projects on time and within scope. Excellent verbal and written communication and presentation skills; ability to explain complex technical concepts clearly and engagingly. Strong counseling and mentoring abilities; comfortable guiding and motivating students through their educational journey. Self-motivated and independent work style, with exceptional time management and problem-solving skills. Prior experience teaching or mentoring college-level students is preferred. Familiarity with educational technology and online teaching platforms (learning management systems, video conferencing tools, etc.) is a plus. Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. A minimum of 2 years of professional experience in data science, analytics, or a related industry role (training experience is a strong advantage). Prior experience in an educational or training environment (college/university level) is preferred. Strong academic track record or demonstrated project portfolio, and a passion for teaching and continuous learning. We look forward to Industry Best Talent joining us in our endeavours to be Leaders in the Technology Space. We welcome candidates with domain expertise and entrepreneurial mindsets, excellent analytical and problem-solving skills, and the ability to think strategically and provide practical recommendations. Job Type: Full-time Pay: ₹360,000.00 - ₹750,000.00 per year Benefits: Health insurance Ability to commute/relocate: Jammu, Jammu and Kashmir: Reliably commute or willing to relocate with an employer-provided relocation package (Preferred) Education: Bachelor's (Required) Experience: Data science: 2 years (Required) Training & development: 2 years (Preferred) Location: Jammu, Jammu and Kashmir (Required) Willingness to travel: 50% (Preferred) Work Location: In person

Dear Candidate, Greetings from TATA CONSULTANCY SERVICES LIMITED!!! Thank you for exploring career opportunities with Asia's largest IT company. Exciting # Job Opportunities for # Experienced Professionals TCS IS HIRING FOR DATA SCIENTIST Desired Experience Range: 8- 15 Mode of Interview: ONLINE Location: PAN INDIA Job Description R, Python, and database query languages like SQL, Hive, Pig is desirable. Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests,Multivariable Calculus and Linear Algebra, Data Visualization Tools like matplotlib, ggplot, d3.js.

Financial Analyst Intern (Python Knowledge Required) 💼 Are you interested in combining finance with data-driven decision-making ? This internship is ideal for students and freshers who want to explore financial analysis, business insights, and automation using Python . 🔎 Internship Details 🌍 Mode: Remote | Flexible Timings ⏳ Duration: 3-6 Months 📊 Projects: Real-world Finance & Analytics Projects 💰 Stipend: Performance-based (Top performers only) 📜 Certificate: Internship Certificate + Recommendation Letter (for outstanding performers) 🎯 Roles & Responsibilities As a Financial Analyst Intern , you will: Work with financial datasets using Python for analysis and reporting Perform data cleaning, statistical analysis, and trend forecasting Automate repetitive financial tasks with Python scripts Support in financial modeling, risk analysis, and forecasting Create dashboards & visualizations using Python libraries (Pandas, Matplotlib, Seaborn, Plotly) Collaborate with mentors to deliver insightful financial reports for real business cases 💡 What You Will Gain Strong hands-on experience with Python for Finance Skills in data analytics, visualization, and automation Deeper understanding of financial reporting & decision-making Internship Certificate + Letter of Recommendation (for top performers) Career readiness for roles like Financial Data Analyst, Quant Analyst, or Business Analyst 👉 If you’re a student or fresher with a background in Python and finance concepts , this internship is the right opportunity to sharpen your skills and build an industry-relevant portfolio. 📌 Apply today and step into the world of Financial Analytics powered by Python ! 📅 Deadline to Apply: 15th September 2025

Financial Analyst Intern (Python Knowledge Required) 💼 Are you interested in combining finance with data-driven decision-making ? This internship is ideal for students and freshers who want to explore financial analysis, business insights, and automation using Python . 🔎 Internship Details 🌍 Mode: Remote | Flexible Timings ⏳ Duration: 1-2Month 📊 Projects: Real-world Finance & Analytics Projects 💰 Stipend: Performance-based (Top performers only) 📜 Certificate: Internship Certificate + Recommendation Letter (for outstanding performers) 🎯 Roles & Responsibilities As a Financial Analyst Intern , you will: Work with financial datasets using Python for analysis and reporting Perform data cleaning, statistical analysis, and trend forecasting Automate repetitive financial tasks with Python scripts Support in financial modeling, risk analysis, and forecasting Create dashboards & visualizations using Python libraries (Pandas, Matplotlib, Seaborn, Plotly) Collaborate with mentors to deliver insightful financial reports for real business cases 💡 What You Will Gain Strong hands-on experience with Python for Finance Skills in data analytics, visualization, and automation Deeper understanding of financial reporting & decision-making Internship Certificate + Letter of Recommendation (for top performers) Career readiness for roles like Financial Data Analyst, Quant Analyst, or Business Analyst 👉 If you’re a student or fresher with a background in Python and finance concepts , this internship is the right opportunity to sharpen your skills and build an industry-relevant portfolio. 📌 Apply today and step into the world of Financial Analytics powered by Python ! 📅 Deadline to Apply: 15th September 2025

We seek trainers/teacher in Data Engineering/Science, Cloud Computing &DevOps(JaipurPreferred) . Role starts part-time, can be done with your current job. Industrial experience preferred; no prior teaching experience required. High earning potentia l.

Job Title: Data Science Trainer Location: Jammu, J&K Job Type: Full Time About Roles and Responsibilities: Conduct engaging data science training sessions (in-person and/or online) for college students, covering fundamentals and advanced topics (programming, statistics, machine learning, data visualization, etc.). Manage and mentor industrial or capstone projects for students: liaise with industry partners, define project scope, plan tasks, and ensure timely, high-quality delivery of real-world projects. Provide one-on-one counseling and academic guidance to prospective and current students, including career advice, curriculum explanation, and addressing student queries. Handle the student enrollment process independently: follow up on leads, explain program details, and convert interested candidates into enrolled students, thereby contributing to revenue targets. Develop and update training materials and curriculum to reflect the latest data science tools, technologies, and industry trends. Assess student progress through evaluations, projects, and exams, providing constructive feedback and support for improvement. Collaborate with cross-functional teams (admissions, marketing, curriculum development) to align training objectives with company goals and student needs. Work autonomously without constant supervision, effectively managing your schedule and responsibilities while meeting training and enrollment milestones. Required Skills Proficiency in data science programming languages (e.g. Python, R, SQL) and experience with machine learning libraries/frameworks (e.g. scikit-learn, TensorFlow, PyTorch). Strong statistical knowledge and hands-on experience with data analysis techniques and data visualization tools (e.g. Matplotlib, Seaborn, Tableau). Proven project management and organizational skills, including planning, executing, and delivering projects on time and within scope. Excellent verbal and written communication and presentation skills; ability to explain complex technical concepts clearly and engagingly. Strong counseling and mentoring abilities; comfortable guiding and motivating students through their educational journey. Self-motivated and independent work style, with exceptional time management and problem-solving skills. Prior experience teaching or mentoring college-level students is preferred. Familiarity with educational technology and online teaching platforms (learning management systems, video conferencing tools, etc.) is a plus. Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. A minimum of 2 years of professional experience in data science, analytics, or a related industry role (training experience is a strong advantage). Prior experience in an educational or training environment (college/university level) is preferred. Strong academic track record or demonstrated project portfolio, and a passion for teaching and continuous learning. We look forward to Industry Best Talent joining us in our endeavours to be Leaders in the Technology Space. We welcome candidates with domain expertise and entrepreneurial mindsets, excellent analytical and problem-solving skills, and the ability to think strategically and provide practical recommendations. Job Type: Full-time Pay: ₹360,000.00 - ₹750,000.00 per year Benefits: Health insurance Ability to commute/relocate: Jammu, Jammu and Kashmir: Reliably commute or willing to relocate with an employer-provided relocation package (Preferred) Education: Bachelor's (Required) Experience: Data science: 2 years (Required) Training & development: 2 years (Preferred) Location: Jammu, Jammu and Kashmir (Required) Willingness to travel: 50% (Preferred) Work Location: In person

Job role Job Requirements Personality traits To work on heavy data extraction, generation of reports, visualising data and putting analysis in discussed formatSQL & Advanced python knowledge with proven track record in python scripting using Numpy, pandas, seaborn, matplotlib, scikit learn etc Candidate must have excellent organizational skills, be level-headed, have good interpersonal skills Model building like classification, regression, recommendation systems etc SAS EG/Eminer knowledge is a plusNumerical skills - will need to acquire data and use it to target selected groups, as well as analyse the success or otherwise of campaigns The role holder will be responsible for data support, segmentation/scorecards, analytics and customer insights Past experience with deployment on cloud systems & API integration is preferredAt least 2-3 years of experience with data handling roles Must be excellent with Data visualisation He/ She should be comfortable working with heavy datasets and should have an analytical bent of mind Should have an active interest in data analysisHighly logical individuals with adaptable trait towards new technologiesAdhere to documented process and compliance requirements, assisting seniors on diversified projectsMotivated and determined candidate with a zeal to handle responsibilities and take initiativesStrong communication skills to effective interaction with business stakeholders

Who Are We Raptee.HV is a full- stack electric motorcycle startup with a very strong technical moat, founded in 2019 by four engineers from Chennai (Ex Tesla, Wipro), working on bringing a no-compromise upgrade motorcycle to an otherwise scooter- only EV market. Raptee is incubated at CIIC & ARAI. Role Overview We are seeking a highly motivated and talented Data Engineer Intern to play a pivotal role in establishing our data infrastructure. This is a unique greenfield opportunity to build our data practice from the ground up. The ideal candidate is a proactive problem-solver, passionate about transforming raw data into actionable insights, and excited by the challenge of working with complex datasets from IoT devices and user applications in the electric vehicle (EV) domain. You will be instrumental in creating the systems that turn data into intelligence. What You’ll Do ETL Pipeline Development: Design, build, and maintain foundational ETL (Extract, Transform, Load) processes to ingest and normalize data from diverse sources, including vehicle sensors, user applications, JSON/CSV files, and external APIs. Data Analysis & Trend Discovery: Perform exploratory data analysis to uncover trends, patterns, and anomalies in large datasets. Your insights will directly influence product strategy and development. Insight Visualization: Develop and manage interactive dashboards, reports, and data visualization applications to communicate key findings and performance metrics to both technical and non-technical stakeholders. Data Infrastructure: Assist in setting up and managing scalable data storage solutions, ensuring data integrity, security, and accessibility for analysis. Cross-Functional Collaboration: Work closely with engineering and product teams to understand data requirements and help integrate data-driven decision-making into all aspects of our operations. Who Can Apply? Strong proficiency in Python and its core data manipulation libraries (e.g., Pandas, NumPy). Solid understanding of SQL for querying and managing relational databases. Demonstrable experience in parsing and handling common data formats like JSON and CSV. Excellent analytical and problem-solving skills with a meticulous attention to detail. Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, or a related quantitative field. Preferred Qualifications (What Will Set You Apart) Hands-on experience with at least one major cloud platform (e.g., AWS, Google Cloud Platform). Familiarity with data visualization libraries (e.g., Matplotlib, Seaborn, Plotly) or business intelligence tools (e.g., Tableau, Power BI). Basic understanding of machine learning concepts. Previous experience working with REST APIs to retrieve data. A genuine interest in the electric vehicle (EV) industry, IoT data, or sustainable technology. What’s In It For You Invaluable hands-on experience building a data ecosystem from scratch in a high-growth, cutting-edge industry. The opportunity to apply your skills to real-world challenges by working with large-scale, complex datasets. A chance to develop a versatile skill set across the entire data lifecycle, from engineering and pipeline development to advanced analysis and visualization. The ability to make a direct and tangible impact on a product that is shaping the future of mobility.

About The Role We’re looking for a Python Developer to build, optimize, and scale applications that power our trading systems. You’ll work on automation, server clusters, and high-performance infrastructure in a fast-paced, tech-driven environment. What You’ll Do Build and test applications end-to-end. Automate workflows with scripts. Optimize system performance and reliability. Manage code versions and collaborate with peers. Work with clusters of 100+ servers. What We’re Looking For Strong Python fundamentals (OOP, data structures, algorithms). Experience with Linux commands, Bash scripting. Basics of Numpy, Matplotlib, and PostgreSQL. Hands-on with automation and scripting tools. Problem solver with a focus on scalability & optimization. Why Dolat? Work at the intersection of finance & tech. Opportunity to solve complex engineering problems. Learn and grow with a team of smart, collaborative engineers. Skills:- Data Structures, Algorithms, Linux/Unix, Bash, matplotlib and PostgreSQL

Hi, We have an excellent job opportunity for Sr Facilitator Data Science with one of our edtech client n Navi Mumbai. Work Location: Remote Job Title: Sr Facilitator – Data Science Please share your updated CV, motivational letter, and recorded video at the earliest. Position Overview: We are seeking a highly experienced and qualified individual to serve as the Senior Facilitator for the Data Science and Artificial Intelligence vertical. The ideal candidate will bring a combination of deep technical expertise and significant experience in academic leadership, with a focus on academic delivery, coordination, curriculum development and program management. Key responsibilities include, but are not limited to: Lead the academic delivery and management of Data Science and Artificial Intelligence programs within Digital Regenesys. Develop and revise course content to ensure it meets industry standards and student needs. Provide academic leadership to faculty and instructional staff. Ensure high-quality teaching methodologies are implemented across all modules of Data Science and Artificial Intelligence. Monitor student progress and address any concerns related to the program delivery. Collaborate with the technical team to ensure the learning platform meets academic requirements. Develop and manage a robust academic framework for the Data Science and Artificial Intelligence vertical. Collaborate with various departments to ensure efficient resource allocation and program delivery. Stay updated with the latest trends in Data Science and emerging technologies to keep the curriculum relevant. Represent the institution at academic and professional conferences, contributing to thought leadership in the Data Science / Artificial Intelligence field. Qualifications: M.Sc. (Computer Science), MCA (Master in Computer Application), or B.Tech/M.Tech (Computer Engineering/IT). Doctor of Philosophy (Optional) A minimum of 8-10 years of teaching experience in Data Science or related fields. Proven experience in managing large-scale academic programs or corporate training initiatives. Technical Skills: Programming Languages : Python. Database Knowledge : Experience with MySQL, Oracle, SQL Server, or PostgreSQL (any one). Data Science Expertise : Numpy, Pandas, Matplotlib, Seaborn, Exploratory Data Analysis (EDA). Machine Learning : Proficiency with Scikit-learn (Sklearn) and experience in ML models for regression, classification, and clustering problems. Big Data - PySpark ML, PySpark NLP, Apache Kafka MLOps - Git, Github, Docker, PyCaret, MLFlow. Additional Knowledge : Familiarity with Tableau or Power BI is advantageous. Desired Skills: Strong presentation skills. Strong leadership and collaboration skills, with experience working in cross-functional teams. Exceptional communication and problem-solving abilities. Please share your cv on riyap@dananda.net

Lead Simulation Engineer – Digital Twin Simulation & Network Optimization This position will be based in India – Bangalore/Pune Job Summary We are looking for a Lead Simulation Engineer to spearhead our efforts in Digital Twin Simulation and Network Optimization . In this senior role, you will architect, design, and oversee the development of advanced simulation and optimization models to enhance global logistics, warehouse operations, and supply chain network efficiency. You will lead a team of engineers, mentor junior members, and collaborate cross-functionally with product, data, and operations teams to deliver scalable, high-impact solutions. The ideal candidate combines deep technical expertise in simulation and optimization with leadership skills and a strategic mindset to drive innovation and operational excellence. Key Responsibilities Technical Leadership: Define the vision, architecture, and roadmap for simulation and optimization initiatives, ensuring scalability and alignment with business goals. Model Development: Lead the design and implementation of digital twin simulations for warehouse, logistics, and supply chain systems. Optimization Strategy: Drive the creation of advanced network optimization models to improve flows, resource allocation, and performance at scale. Collaboration & Integration: Partner with business stakeholders, data engineers, and operations teams to embed simulation-driven insights into decision-making and daily workflows. Mentorship & Guidance: Coach, mentor, and upskill junior simulation engineers, fostering technical excellence and innovation. Quality & Delivery: Establish best practices for coding, testing, and documentation to ensure robust and maintainable solutions. Insights & Communication: Present findings, optimizations, and recommendations to senior leadership in both technical and business terms. Innovation: Explore and evaluate emerging techniques (AI/ML-enhanced simulations, real-time twins, advanced heuristics) to push boundaries in simulation-driven decision support. Must-Have Technical Skills Python Expertise: Advanced proficiency in OOP, algorithms, data structures; writing scalable, modular, testable code. Data Handling & Computation: pandas, NumPy for large-scale data analysis and numerical simulations. Data Integration: Proficient in REST APIs (requests) and SQL for data ingestion. Discrete-Event Simulation: Expertise in DES principles with SimPy, modeling large, complex systems (warehousing, logistics, supply chains). Optimization & Operations Research: Strong background in LP/MIP, solving large-scale VRP/assignment problems with OR-Tools, Pyomo, or PuLP. Graph Analytics: Advanced use of NetworkX for analyzing supply chain topologies and flows. Software Engineering Practices: Git, CI/CD pipelines, Docker, and cloud-native development. API Development: Designing and deploying REST services (Flask, FastAPI) for scalable simulation integration. Visualization: Building dashboards/plots with Matplotlib, Seaborn, or Plotly to communicate insights effectively. Nice-to-Have Technical Skills Advanced Optimization: Commercial solvers (Gurobi, CPLEX) with Python APIs; heuristics and meta-heuristics for VRP and complex routing. ML-Enhanced Simulations: Using scikit-learn, TensorFlow, or PyTorch for predictive and adaptive modeling. Alternative Simulation Paradigms: Agent-based or hybrid modeling approaches. Streaming & IoT: Real-time data processing with Kafka, MQTT for live digital-twin updates. Geospatial Analytics: Tools like GeoPandas, Shapely, OSRM, Google Maps APIs for route optimization and visualization. Interactive Dashboards: Dash or Streamlit for simulation/optimization interfaces. 3D Visualization: PyVista, Vedo, or similar libraries for advanced digital-twin visualizations. Who You Are 10+ years of experience in simulation, optimization, or applied operations research, with at least 3+ years in a lead or managerial role. Proven success in leading cross-functional simulation/optimization projects that directly impacted operations or logistics. Strong problem-solving, analytical, and decision-making skills with the ability to balance technical depth and business impact. Excellent communication and leadership skills, with the ability to influence both technical teams and business stakeholders. Passionate about innovation, continuous improvement, and building next-generation digital twins for global-scale systems. Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

Job Description Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Senior Consultant Specialist In this role, you will: Improve and refactor existing codebases for performance, readability, and reusability. Handle large datasets and perform data aggregation, filtering, and transformation using Pandas and NumPy. Generate basic data visualizations using Matplotlib, Seaborn, or Plotly to support reporting and analysis. Interact with various data sources (CSV, Excel, REST APIs, JSON, Databases). Write clear, modular, and testable code with unit tests using pytest or unittest etc., Collaborate with cross-functional teams to understand business logic and automate manual tasks. Design and maintain CI/CD pipelines using Jenkins for Python-based tools and automations. Automate testing, code validation, and deployment processes by Integrating Jenkins with Git repositories Requirements To be successful in this role, you should meet the following requirements: Full stack Development with Python Agile methodology and DevOps CI/CD Development Environments/Tools: GIT, Maven, Jenkins, Ansible. CI/CD Project Management Tools: JIRA, Confluence Restful API Development Analytical skills, Communication Skills Cloud infrastructure development (good to have) Understanding of Monitoring and Alerting Domain (good to have) You’ll achieve more when you join HSBC. www.hsbc.com/careers HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued by – HSBC Software Development India

Job Title: Python Developer Job Summary: We are looking for a skilled Python Developer with 7 to 10 years of experience to design, develop, and maintain high-quality back-end systems and applications. The ideal candidate will have expertise in Python and related frameworks, with a focus on building scalable, secure, and efficient software solutions. This role requires a strong problem-solving mindset, collaboration with cross-functional teams, and a commitment to delivering innovative solutions that meet business objectives. Responsibilities Application and Back-End Development: Design, implement, and maintain back-end systems and APIs using Python frameworks such as Django, Flask, or FastAPI, focusing on scalability, security, and efficiency. Build and integrate scalable RESTful APIs, ensuring seamless interaction between front-end systems and back-end services. Write modular, reusable, and testable code following Python’s PEP 8 coding standards and industry best practices. Develop and optimize robust database schemas for relational and non-relational databases (e.g., PostgreSQL, MySQL, MongoDB), ensuring efficient data storage and retrieval. Leverage cloud platforms like AWS, Azure, or Google Cloud for deploying scalable back-end solutions. Implement caching mechanisms using tools like Redis or Memcached to optimize performance and reduce latency. AI/ML Development: Build, train, and deploy machine learning (ML) models for real-world applications, such as predictive analytics, anomaly detection, natural language processing (NLP), recommendation systems, and computer vision. Work with popular machine learning and AI libraries/frameworks, including TensorFlow, PyTorch, Keras, and scikit-learn, to design custom models tailored to business needs. Process, clean, and analyze large datasets using Python tools such as Pandas, NumPy, and PySpark to enable efficient data preparation and feature engineering. Develop and maintain pipelines for data preprocessing, model training, validation, and deployment using tools like MLflow, Apache Airflow, or Kubeflow. Deploy AI/ML models into production environments and expose them as RESTful or GraphQL APIs for integration with other services. Optimize machine learning models to reduce computational costs and ensure smooth operation in production systems. Collaborate with data scientists and analysts to validate models, assess their performance, and ensure their alignment with business objectives. Implement model monitoring and lifecycle management to maintain accuracy over time, addressing data drift and retraining models as necessary. Experiment with cutting-edge AI techniques such as deep learning, reinforcement learning, and generative models to identify innovative solutions for complex challenges. Ensure ethical AI practices, including transparency, bias mitigation, and fairness in deployed models. Performance Optimization and Debugging: Identify and resolve performance bottlenecks in applications and APIs to enhance efficiency. Use profiling tools to debug and optimize code for memory and speed improvements. Implement caching mechanisms to reduce latency and improve application responsiveness. Testing, Deployment, and Maintenance: Write and maintain unit tests, integration tests, and end-to-end tests using Pytest, Unittest, or Nose. Collaborate on setting up CI/CD pipelines to automate testing, building, and deployment processes. Deploy and manage applications in production environments with a focus on security, monitoring, and reliability. Monitor and troubleshoot live systems, ensuring uptime and responsiveness. Collaboration and Teamwork: Work closely with front-end developers, designers, and product managers to implement new features and resolve issues. Participate in Agile ceremonies, including sprint planning, stand-ups, and retrospectives, to ensure smooth project delivery. Provide mentorship and technical guidance to junior developers, promoting best practices and continuous improvement. Required Skills and Qualifications Technical Expertise: Strong proficiency in Python and its core libraries, with hands-on experience in frameworks such as Django, Flask, or FastAPI. Solid understanding of RESTful API development, integration, and optimization. Experience working with relational and non-relational databases (e.g., PostgreSQL, MySQL, MongoDB). Familiarity with containerization tools like Docker and orchestration platforms like Kubernetes. Expertise in using Git for version control and collaborating in distributed teams. Knowledge of CI/CD pipelines and tools like Jenkins, GitHub Actions, or CircleCI. Strong understanding of software development principles, including OOP, design patterns, and MVC architecture. Preferred Skills: Experience with asynchronous programming using libraries like asyncio, Celery, or RabbitMQ. Knowledge of data visualization tools (e.g., Matplotlib, Seaborn, Plotly) for generating insights. Exposure to machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) is a plus. Familiarity with big data frameworks like Apache Spark or Hadoop. Experience with serverless architecture using AWS Lambda, Azure Functions, or Google Cloud Run. Soft Skills: Strong problem-solving abilities with a keen eye for detail and quality. Excellent communication skills to effectively collaborate with cross-functional teams. Adaptability to changing project requirements and emerging technologies. Self-motivated with a passion for continuous learning and innovation.

Job Description: Data Science Faculty Position: Data Science Faculty / Trainer Location: Edappal Employment Type: Full-time / Part-time Role Overview We are seeking a passionate and knowledgeable Data Science Faculty to join our academic/training team. The ideal candidate should have strong expertise in data science concepts, tools, and real-world applications, along with the ability to inspire and mentor students. Key Responsibilities Deliver lectures, workshops, and practical sessions on Data Science, Machine Learning, Artificial Intelligence, and related subjects. Design and update curriculum, lesson plans, and course materials as per industry standards. Guide students through projects, case studies, and research work. Assess student performance through assignments, quizzes, and examinations. Provide mentorship and career guidance to students pursuing careers in Data Science and AI. Stay updated with the latest industry trends, tools, and technologies. Required Skills & Competencies Strong foundation in Mathematics, Statistics, and Probability . Proficiency in Python/R, SQL, Data Visualization (Power BI/Tableau/Matplotlib/Seaborn) . Hands-on experience with Machine Learning, Deep Learning, and AI frameworks (e.g., Scikit-learn, TensorFlow, Keras, PyTorch). Knowledge of Big Data tools (Hadoop, Spark) is an added advantage. Excellent communication, presentation, and mentoring skills. Qualifications Master’s / Degree. in Computer Science, Data Science, Statistics, or a related field. Prior teaching/training experience preferred (academic or corporate). Industry experience in data science projects is highly desirable. What We Offer Competitive salary and performance incentives. Opportunities for research, publications, and industry collaboration. Access to modern labs and resources for continuous learning. A dynamic academic environment encouraging innovation and growth. Job Types: Full-time, Fresher, Internship Contract length: 1 month Pay: ₹216,000.00 - ₹240,000.00 per year Work Location: In person