975 Pandas Jobs

**Job Description:** At Taxmann, we are seeking a talented Data Scientist who is proficient in GenAI, Python, Power BI, and SQL to join our team. As a Data Scientist, you will be responsible for collecting, analyzing, and interpreting complex data sets to aid in business decision-making. Additionally, you will work on creating APIs and web applications in Python, designing Python-based Rest APIs, developing Power BI dashboards, generating reports, and implementing data-driven strategies to improve organizational efficiency. **Key Responsibilities:** - Collect, process, and analyze large datasets to derive actionable insights. - Develop and enhance GenAI, Machine learning, and Natural Language Processing models for predictive modeling. - Create and optimize complex RAG projects for Chatbots. - Build and maintain RESTful APIs and web applications using Python frameworks such as Flask and FastAPI. - Utilize pandas and beautifulsoup for data extraction and manipulation. - Design and deploy Power BI dashboards and visualizations for real-time and ad hoc reporting needs. - Write efficient and scalable SQL queries for data extraction and analysis. - Collaborate with cross-functional teams to understand data requirements and deliver analytical solutions. - Present findings and recommendations to stakeholders in a clear and concise manner. - Ensure data accuracy, integrity, and governance throughout all analytics processes. - Automate data collection and reporting pipelines to enhance efficiency. **Qualifications Required:** - Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. - Minimum of 2 years of experience as a Data Scientist or in a similar analytical role. - Proficiency in Python for data manipulation, API development, and GenAI chatbot app creation. - Strong expertise in Power BI, including DAX and custom visual creation. - Advanced knowledge of SQL and relational databases. - Familiarity with tools like Pandas, NumPy, Scikit-learn, and other data analysis libraries. - Strong problem-solving and communication skills. - Experience with version control (e.g., Git) and deployment tools is advantageous. **Preferred Qualifications:** - Experience with cloud platforms such as Azure, AWS, or GCP. - Knowledge of machine learning techniques and model deployment. - Background in business intelligence, KPIs, and performance tracking. (Note: About Taxmann and any additional details of the company have been omitted as they were not present in the provided job description),

As an accomplished Project Lead Python & AI Developer, your role involves leading end-to-end delivery of AI-powered analytics and product development initiatives. You will be responsible for overseeing multiple high-impact projects, managing cross-functional teams, and ensuring timely delivery under tight deadlines and high-pressure conditions. Key Responsibilities: - Lead, plan, and deliver multiple AI and analytics product development projects simultaneously with full ownership. - Translate complex business requirements into scalable, intelligent, and production-ready solutions. - Manage end-to-end project lifecycle, ensuring adherence to delivery timelines and quality benchmarks. - Guide, mentor, and review work of Python developers, AI engineers, and data analysts. - Set and enforce coding standards, architectural best practices, and delivery protocols. - Thrive in a high-pressure environment, balancing priorities across concurrent projects and stakeholders. In your role, you will be involved in: - Architecting, designing, and implementing AI-driven Python applications and intelligent automation frameworks. - Building and optimizing ETL pipelines, real-time data workflows, and analytics utilities. - Designing predictive modeling systems to forecast market trends and operational performance. - Leading the development of Genetic AI models for automated reporting, pattern detection, and process optimization. - Integrating APIs, databases, and cloud-based AI solutions (AWS, Azure, GCP) into scalable architectures. - Utilizing libraries such as Pandas, NumPy, SQL, Flask/FastAPI, TensorFlow, PyTorch, and scikit-learn to deliver high-quality analytical outputs. Furthermore, you will: - Design and deploy AI/ML models for predictive insights, anomaly detection, and strategic decision-making. - Drive the adoption of Genetic AI modeling techniques to improve forecasting accuracy and reporting intelligence. - Collaborate with cross-functional teams to integrate AI outcomes with business intelligence tools and automated dashboards. Your qualifications should include: - 10+ years of experience in Python development and AI engineering, preferably within product-oriented analytics environments. - Proven track record of leading multiple concurrent projects with successful delivery under tight timelines. - Strong hands-on experience in architecting predictive and AI modeling systems. - Expertise in Pandas, NumPy, SQL, Flask/FastAPI, REST APIs, and workflow automation. - Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn). - Strong understanding of Genetic AI modeling, predictive analytics, and automated reporting pipelines. - Cloud experience on AWS, Azure, or GCP (any one mandatory). - Excellent debugging, optimization, and architectural design skills under demanding conditions. Good-to-Have Skills: - Experience with deep learning models, MLOps, and AI model lifecycle management. - Proficiency in Tableau, Power BI, or other BI and visualization tools. - Familiarity with DevOps (CI/CD, Docker, Jenkins, Git). - Experience in Agile/Scrum product development environments. Qualifications: - Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or an equivalent discipline.,

**Role Overview:** As a Data Engineer with 5 to 10 years of experience in Python, Pypark, Pandas, and Numpy, you will be responsible for handling data processing tasks efficiently. Your primary focus will be on utilizing Python and various data processing libraries to manipulate and analyze large datasets. You will play a key role in implementing data pipelines and ensuring the smooth flow of data within the organization. **Key Responsibilities:** - Utilize Python programming language to write efficient data processing scripts. - Implement data pipelines using Pypark for processing and transforming large datasets. - Use Pandas and Numpy libraries for data analysis and manipulation tasks. - Collaborate with cross-functional teams to understand data requirements and deliver solutions accordingly. - Optimize data processing algorithms to enhance performance and efficiency. **Qualifications Required:** - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - Proven experience of 5 to 10 years working as a Data Engineer with expertise in Python, Pypark, Pandas, and Numpy. - Strong understanding of data processing techniques and algorithms. - Excellent problem-solving skills and the ability to work in a fast-paced environment. Note: No additional details about the company were provided in the job description.,

Role Overview: As a Junior Gen AI Developer with 1 to 2.6 years of experience, you will be responsible for contributing to the development, training, and deployment of AI models. Your role will involve collaborating with senior developers to enhance AI-driven applications and staying updated with the latest trends in generative AI and machine learning. Key Responsibilities: - Assist in the development and implementation of generative AI models and algorithms. - Collaborate with senior developers to build, train, and fine-tune AI models using frameworks such as TensorFlow, PyTorch, or similar. - Integrate AI models into applications, ensuring performance and scalability. - Participate in data preprocessing, feature engineering, and model evaluation processes. - Support the deployment and monitoring of AI solutions in production environments. - Contribute to code reviews, debugging, and optimization of AI models. - Stay updated with the latest trends and advancements in generative AI and machine learning. Qualifications Required: - 1 to 2.6 years of experience in AI/ML development with a focus on generative AI. - Basic understanding of machine learning concepts, neural networks, and deep learning frameworks. - Proficiency in programming languages such as Python with exposure to libraries like TensorFlow, PyTorch, or Keras. - Experience with data manipulation tools such as Pandas, NumPy, and SQL. - Familiarity with version control systems like Git. - Strong problem-solving skills and a willingness to learn and adapt. - Good communication skills and ability to work in a collaborative environment. Please note: The company is based in Indore, MP, and the working model is on-site. You should be willing to work from the office and be open to working on-site at various locations in India and globally, including the USA, UK, Australia, and the Middle East.,

As a Machine Learning Scientist at Wayfair, you will be part of a dynamic team dedicated to building cutting-edge ML systems that drive real-world impact. You will collaborate with scientists, engineers, analysts, and product managers to design, deploy, and refine large-scale machine learning models to enhance customer experience and drive revenue. Your role will involve working on real-time Search type-ahead, content recommendations, and algorithmic customer understanding experience. **Key Responsibilities:** - Design, build, deploy, and refine large-scale machine learning models and algorithmic decision-making systems - Collaborate with commercial stakeholders to develop analytical solutions for business problems - Work closely with engineering, infrastructure, and ML platform teams to ensure best practices in building and deploying scalable ML services - Identify new opportunities and insights from data to improve models and project ROI - Maintain a customer-centric approach in problem-solving and decision-making **Qualifications Required:** - Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related field - 6-9 years of industry experience developing machine learning algorithms - Proficiency in Python or another high-level programming language - Hands-on experience deploying machine learning solutions into production - Strong theoretical understanding of statistical models and ML algorithms - Excellent written and verbal communication skills - Intellectual curiosity and enthusiasm for continuous learning **Nice to Have:** - Experience with Python ML ecosystem (numpy, pandas, sklearn, XGBoost) and/or Apache Spark Ecosystem - Familiarity with GCP, AWS, Azure, ML model development frameworks, and ML orchestration tools - Experience in information retrieval, query/intent understanding, search ranking, recommender systems - Familiarity with deep learning frameworks like PyTorch, Tensorflow Wayfair is committed to providing equal opportunities for individuals with disabilities and will make reasonable accommodations as needed. If you require assistance during the application or interview process, please complete the Accommodations for Applicants form. For technical assistance or more information about careers at Wayfair, visit the FAQ page on the website. Wayfair Inc. is a global online destination for home goods, committed to reinventing the way people shop for their homes through technology and creative problem-solving. Join our team for rapid growth, continuous learning, and dynamic challenges that will shape your career. Your personal data is processed in accordance with our Candidate Privacy Notice. For privacy-related inquiries, contact dataprotectionofficer@wayfair.com.,

Role Overview: As a Sr. Data Scientist at our company, you will be an integral part of our fast-growing data scientists team. We are seeking self-motivated individuals who are passionate about AI predictive image analytics and machine learning. Your primary responsibility will be to design and develop highly scalable machine learning solutions that have a significant impact on various aspects of our business. You will work on designing and developing Neural Network solutions, especially Convolution Neural Networks, based on our reference architecture leveraging big data, cloud technology, micro-service architecture, and high-performing compute infrastructure. Your daily activities will involve contributing to all phases of algorithm development, including ideation, prototyping, design, and production implementation. Key Responsibilities: - Designing and developing highly scalable machine learning solutions - Working on Neural Network solutions, especially Convolution Neural Networks - Contributing to all phases of algorithm development, including ideation, prototyping, design, and production implementation Qualifications Required: - Background in software engineering and data science with expertise in machine learning algorithms, statistical analysis tools, and distributed systems - Experience in building machine learning applications and broad knowledge of machine learning APIs, tools, and open source libraries - Strong coding skills and fundamentals in data structures, predictive modeling, and big data concepts - Experience in designing full stack ML solutions in a distributed compute environment - Proficiency in Python, Tensor Flow, Keras, Sci-kit, pandas, NumPy, AZURE, AWS GPU - Excellent communication skills with multiple levels of the organization (Note: Additional details of the company were not provided in the JD),

As a Data Science Engineer at V-Patrol AI, a fast-paced, innovative cybersecurity company, your role will involve designing, developing, and deploying advanced machine learning and deep learning models. You will be responsible for building scalable data pipelines and delivering impactful insights in real-time to combat cyber threats. Key Responsibilities: - Design & develop machine learning and deep learning models for cybersecurity use cases. - Build and manage data pipelines for structured/unstructured data such as network logs and threat feeds. - Develop and integrate APIs for model deployment and real-time data flow. - Collaborate with software engineers, analysts, and stakeholders to drive data-driven decisions. - Monitor model performance and optimize for production environments. - Communicate findings effectively through dashboards, reports, and visualizations. Qualification Required: - Bachelor's or Masters in Data Science, Computer Science, Statistics, or a related field. - Strong command over Python, pandas, scikit-learn, TensorFlow/PyTorch. - Experience with REST APIs, FastAPI/Flask, and data preprocessing techniques. - Knowledge of ML/DL models like XGBoost, LSTMs, Transformers, etc. - Exposure to cloud platforms (AWS/GCP), ETL tools, Docker/Kubernetes, etc. - Cybersecurity experience is a plus (e.g., threat detection, incident response). Join V-Patrol AI to work in a high-growth, innovative cybersecurity environment where you will have the opportunity to solve real-world cyber threat challenges with cutting-edge ML/DL models. Collaborate with talented engineers and data scientists in this full-time position. Please note that the work location is in person at Gurugram.,

Role Overview: You will be the Lead Trainer for the AI & Data Analytics program at the CSR backed AI/ML Learning Lab. Your primary responsibility will be conducting full-time weekday classes to educate underprivileged youth and community learners in Artificial Intelligence, Machine Learning, Python, Data Analytics, and related tools. Your role involves shaping students into job-ready AI/ML talent by delivering interactive sessions, providing mentorship, evaluating performance, and maintaining high-quality training standards in alignment with industry requirements. Key Responsibilities: - Conduct full-time weekday classes on AI, ML, Python, Data Analytics, and related tools. - Design and deliver lectures, practical sessions, hands-on labs, and assessments. - Ensure training content remains updated, industry-relevant, and easy to comprehend. - Provide mentorship and doubt-clearing support to students. - Prepare lesson plans, assignments, quizzes, and project guidelines. - Evaluate student progress through tests, projects, and performance reviews. - Support the Centre In-Charge in documentation, reporting, and training audits. - Maintain discipline, class engagement, and a positive learning environment. - Assist in mobilization and student selection when required. - Participate in faculty meetings, workshops, and upskilling sessions. Qualifications Required: - Bachelors or Masters degree in Computer Science, Engineering, Data Science, or related field. - Strong knowledge of Python, Machine Learning basics, Data Analytics, NumPy, Pandas, Visualization tools (Matplotlib, Power BI/Tableau preferred). - Minimum 2+ years of teaching/training experience in AI, Data Analytics, or related domain. - Excellent communication and classroom management skills. - Ability to explain complex concepts in simple, beginner-friendly language. - Passion for teaching and uplifting underprivileged learners. Additional Details: N/A,

You will be working on Python programming language with concepts like Multi-threading, Multi-Processing, Regular Expressions, Exception Handling, etc. You should be familiar with Python libraries such as Pandas, Scikit-Learn, Numpy, NLTK, Scipy, Requests, etc. Your role will involve Data Modelling and Data Transformation, Data Processing on Structured and Unstructured data, as well as working with Relational Databases. Query Optimization, Query building, and experience with ORMs like SQLAlchemy will be part of your responsibilities. Exposure to databases like MSSQL, Postgres, Oracle, etc. will be beneficial. Key Responsibilities: - Strong experience in Python - Proficiency in Python libraries like Pandas, Scikit-Learn, Numpy, NLTK, Scipy, Requests, etc. Qualifications Required: - Functional and Object Oriented Programming (OOPS) - Familiarity with Web services technologies (HTTP, SOAP, REST, XML, JSON) - Knowledge of AWS cloud services: EC2, S3, Batch, ECS, Secret Manager, EMR, etc. The company offers an opportunity to work on bleeding-edge projects, collaborate with a highly motivated and dedicated team, competitive salary, flexible schedule, benefits package including medical insurance, sports, corporate social events, professional development opportunities, and a well-equipped office. Please Note: The above qualifications and responsibilities are indicative and may be subject to change or modification based on business requirements.,

As an Associate Data Scientist at V4C.ai within the Astros division, you will be an integral part of our dynamic team, contributing to projects that push the boundaries of innovation and data analysis in the Astros domain. **Key Responsibilities:** - Support the collection, cleaning, and preprocessing of data to build robust datasets for analysis - Assist in the development and implementation of machine learning models and algorithms - Engage in exploratory data analysis to identify patterns and insights relevant to Astros projects - Collaborate with team members on various data science projects, contributing your fresh perspective and ideas - Participate in training sessions and workshops to further enhance your technical knowledge and skills - Provide support in documenting findings and presenting them to the team **Requirements:** - Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field - Knowledge of programming languages, particularly Python or R, is essential - Familiarity with data manipulation libraries such as Pandas and NumPy - Basic understanding of machine learning principles and practices - Possess strong analytical skills with a focus on detail and accuracy - A proactive attitude towards learning and professional development - Good communication skills and the eagerness to collaborate within a team environment - Willingness to work from our Pune office for hands-on training and experience If you join us, you will receive benefits such as Private Health Insurance, Paid Time Off, Work From Home option after 3 to 6 months of training in the Pune office, and access to Training & Development opportunities.,

As a Python Developer at Techlift, your role will involve designing systems for Predictive analysis and writing algorithms to handle financial data. You should have experience with web services and APIs such as REST and JSON, and be able to create and consume RESTful APIs. Proficiency in writing algorithms using Python, Pandas, and Numpy in tools like Jupyter and PyCharm is required. Experience with relational and NoSQL databases like MSSQL, MongoDB, and PostgreSQL is also essential. You will be responsible for implementing Machine Learning Models using Python/R for optimal performance and working with Time Series Data to analyze large datasets. Additionally, you will be implementing financial strategies in Python and generating reports to analyze the results. Key Responsibilities: - Designing systems for Predictive analysis and writing algorithms for financial data - Experience with web services and APIs like REST, JSON - Proficient in Python, Pandas, Numpy, Jupyter, PyCharm - Working with relational and NoSQL databases (MSSQL, MongoDB, PostgreSQL) - Implementing Machine Learning Models using Python/R - Analyzing Time Series Data and large datasets - Implementing financial strategies in Python and generating analytical reports Qualifications Required: - Highly skilled in SQL, Python, Pandas, Numpy, Machine Learning, Predictive Modelling, Algorithm Designing, OOPS concepts - 2 to 7 years of full-time experience in core SQL, Python roles (Non-Support) - Bachelors Degree in Engineering or equivalent Techlift is looking for a candidate who can utilize their expertise to contribute to product development and implementation. If you meet the requirements and are passionate about working in a dynamic environment, we encourage you to apply for this position.,

As a member of the data science team, you will have the opportunity to work on cutting-edge analytics technologies, develop predictive models, and contribute to data-driven decision making. The role focuses on end-to-end data science workflows, advanced statistical analysis, and real-world AI applications in business contexts. Key Responsibilities: - Conduct comprehensive data collection, cleaning, preprocessing, and exploratory data analysis using Python, R, and SQL frameworks. - Develop and implement machine learning models for classification, regression, clustering, and time-series forecasting applications. - Create advanced data visualizations and interactive dashboards using Tableau, Power BI, matplotlib, and seaborn libraries. - Perform statistical analysis, hypothesis testing, and A/B testing to derive actionable business insights. - Build and deploy predictive analytics models to support business strategy and operational optimization. - Collaborate with cross-functional teams to translate business requirements into analytical solutions and recommendations. - Document analytical processes, create technical reports, and present findings to stakeholders through compelling data storytelling. Qualifications Required: Must-Haves: - Bachelors or Masters degree in Data Science, Statistics, Computer Science, Mathematics, or related field (final year students or recent graduates). - Strong programming proficiency in Python with experience in NumPy, Pandas, Scikit-learn, and Jupyter Notebooks. - Solid understanding of statistical concepts including descriptive statistics, probability distributions, and inferential statistics. - Knowledge of SQL for database querying and data manipulation from various data sources. - Experience with data visualization tools and techniques for creating meaningful insights from complex datasets. Nice-to-Haves: - Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, or advanced scikit-learn applications. - Familiarity with cloud platforms (AWS, GCP, Azure) for data processing, model deployment, and distributed computing. - Knowledge of big data technologies including Spark, Hadoop, or NoSQL databases for large-scale data processing. - Experience with advanced analytics techniques including deep learning, NLP, or computer vision applications. - Previous internship experience or portfolio projects demonstrating real-world data science problem-solving capabilities.,

As an AI/ML Intern at our company, your responsibilities will include: - Assisting in building and training machine learning and deep learning models. - Preprocessing, cleaning, and analyzing structured and unstructured data. - Conducting experiments using popular ML libraries and frameworks. - Supporting the team in model evaluation, optimization, and deployment. - Creating and maintaining documentation for models, code, and results. - Collaborating with cross-functional teams to integrate ML models into applications. To qualify for this role, you should have: - A basic understanding of Python and libraries like NumPy, Pandas, Matplotlib, etc. - Familiarity with machine learning algorithms such as regression, classification, and clustering. - Hands-on experience with scikit-learn, TensorFlow, or PyTorch (beginner level acceptable). - Knowledge of data preprocessing techniques and model evaluation metrics. - Strong analytical and problem-solving skills. - Eagerness to learn and apply AI/ML concepts to practical use cases. Bonus Skills (Nice to Have): - Experience with NLP, Computer Vision, or Time Series Analysis. - Familiarity with Jupyter Notebooks, Google Colab, or Kaggle. - Exposure to ML Ops, model deployment, or cloud platforms (AWS/GCP/Azure). - Participation in AI/ML competitions or academic projects. This is a full-time position located in person.,

As a Senior Engineer/Lead Senior Engineer in Data Analytics and ML Model Development, you will be part of a dedicated team that applies cutting-edge AI and ML technologies to address complex challenges in chip design, qualification, and debug engineering processes. The primary goal is to improve engineering efficiency by implementing intelligent automation, leveraging data-driven insights, and creating innovative tools. **Key Responsibilities:** - Design and implement comprehensive data analytics workflows tailored for semiconductor engineering applications. - Develop, train, and optimize ML models using various techniques including supervised, unsupervised, and deep learning. - Conduct feature engineering, model evaluation, and hyperparameter tuning to enhance model performance. - Build scalable data pipelines for ingestion and transformation using Python and cloud-native tools. - Utilize statistical analysis and visualization methods to extract valuable insights from extensive datasets. - Perform time series analysis employing techniques like ANOVA and other statistical methods. - Explore GenAI platforms, LLMs, and RAG techniques to enhance model capabilities. - Collaborate with cross-functional teams to integrate ML models into engineering workflows and tools. - Document methodologies and offer technical guidance to internal teams. **Qualifications Required:** - Master's degree in Computer Science, Data Science, or a related field. - Proficient in programming with Python or C++. - Strong grasp of data structures, algorithms, and software design principles. - Excellent analytical and problem-solving skills. - Hands-on experience with supervised and unsupervised learning techniques. - Familiarity with deep neural network architectures such as RNNs and Transformers. - Proficiency with ML frameworks like scikit-learn, TensorFlow, or PyTorch. - Knowledge in GenAI, LLMs, and RAG Optimization, as well as LLM Finetuning and Distillation. - Skilled in data analysis using Pandas, NumPy, and Matplotlib. - Understanding of statistical analysis, visualization, feature engineering, and model evaluation. - Knowledge of GPU, CUDA, and high-performance computing frameworks and methods. **Additional Company Details:** The company offers benefits such as food provision, health insurance, internet reimbursement, life insurance, paid time off, and provident fund. This is a full-time, permanent position requiring in-person work. Ensure you have a Master's degree in Computer Science, Data Science, or a related field with at least 2 years of experience in machine learning. If you have a Ph.D. or extensive experience in large model development and training from scratch, familiarity with time series analysis, SQL databases, ETL frameworks, cloud platforms, LLM integration frameworks, distributed computing, and cloud-scale data processing, it would be considered a plus. Join our team to contribute to the advancement of chip design and engineering processes through innovative data analytics and machine learning solutions.,

As a Python Quant Developer at Variance Technologies Private Limited, you will play a crucial role in developing and maintaining Python-based algorithmic trading systems. Your responsibilities will include integrating with brokers and exchanges using REST and WebSocket APIs, working with real-time and historical candlestick data, implementing risk controls, and building internal services and APIs using FastAPI. Your passion for markets, data, and clean backend code will be well utilized in this role. Key Responsibilities: - Develop and maintain Python-based algorithmic trading systems - Integrate with brokers and exchanges using REST and WebSocket APIs - Work with real-time and historical candlestick data - Implement risk controls such as stoploss and takeprofit - Build and manage internal services and APIs using FastAPI - Support and enhance backtesting and performance monitoring tools - Collaborate with traders and developers to optimize strategy logic - Contribute to trading infrastructure with a focus on speed and reliability - Understand and work within the market microstructure and strategy lifecycle Qualifications Required: - Minimum 1 year of experience as a Quant Developer or similar role - Proficiency in Python programming - Hands-on experience with FastAPI for building high-performance APIs - Experience working with REST and WebSocket APIs - Solid understanding of core financial/trading concepts: Stocks, Futures, Options, Candlesticks, Stoploss, Takeprofit - Familiarity with Python libraries like pandas, NumPy, etc. - Strong debugging, analytical, and problem-solving skills Variance Technologies Private Limited is a fintech company that specializes in building smart, scalable, and efficient algorithmic trading systems. They focus on data-driven strategies and modern financial infrastructure. If you are looking for a fast-paced learning environment with real-world exposure to live algorithmic trading systems, this is the place for you. To apply for the Quant Developer role at Variance Technologies Private Limited, send your resume and GitHub/portfolio to careers@variancefintech.com with the subject "Job Application for Quant Developer Role". Join us in this full-time remote position and be part of our dynamic team.,

Job Description: As a Data Analyst in Europe, you will be responsible for Business Intelligence tasks. Your role will involve utilizing DataPrep skills along with various BI tools such as Power BI, SQL, Tableau, Periscope, PostgreSQL, BigQuery, Pandas, and Data prep. Key Responsibilities: - Utilize DataPrep skills in conjunction with BI tools - Work with Power BI, SQL, Tableau, Periscope, PostgreSQL, BigQuery, Pandas, and Data prep for data analysis Qualifications Required: - 4 to 9 years of experience in Data Analysis - Must have at least a medior level of expertise Please Note: This position requires immediate availability and is based in Europe.,

Role Overview: As a Data Analyst Intern at Inlighnx Global, you will be responsible for analyzing diverse datasets, creating dashboards, conducting exploratory data analysis, and supporting data-driven decisions. This internship will help you develop strong analytical thinking skills and provide hands-on experience with industry-standard tools. Key Responsibilities: - Collect, clean, and organize data from various sources. - Perform Exploratory Data Analysis (EDA) to uncover patterns and insights. - Build dashboards and data visualizations using tools like Power BI, Tableau, or Python. - Write SQL queries to extract and manipulate data. - Prepare reports and presentations to communicate insights clearly. - Collaborate with the team on data-driven projects and deliverables. Qualifications Required: - Currently enrolled in or recently graduated from a relevant program such as Data Science, Computer Science, Statistics, IT, or related disciplines. - Strong knowledge of MS Excel, including Pivot Tables, VLOOKUP, and Charts. - Familiarity with SQL for querying databases. - Basic understanding of Python libraries like Pandas, NumPy, and Matplotlib is a plus. - Interest in data visualization and analytics tools. - Strong communication skills, analytical thinking, and attention to detail. Inlighnx Global offers students and graduates a platform to gain real-world data analytics experience. The internship focuses on helping individuals strengthen their skills in data cleaning, visualization, report building, and insight generation using modern tools and industry practices. Benefits of this internship include a stipend ranging from 7,500 to 15,000 (performance-based), hands-on experience with real-world analytics projects, a Certificate of Internship, a Letter of Recommendation, and the opportunity to build a strong portfolio with dashboards, reports, and EDA case studies. You will also gain learning exposure to industry-standard tools and best practices. For more information about the company, you can visit their website at [Inlighnx Global](https://www.inlighntech.com/).,

As an AI Intern at our company, you will be expected to have completed your degree and possess a deep understanding of the following concepts: - RAG, LLM, Vector Database, LangChain, and Ollama - Agentic Programming - Advanced Python Programming with knowledge of DSA and Libraries like Numpy and Pandas - External Reader and Writers such as File Handling, PDF, Excel, Markdown - Crawlers & Spiders using Requests, Beautiful Soups, etc. Please note that this position is only open to candidates who are already located in Bengaluru. This is a 6-month paid internship, and it is essential that you are able to commit to the entire duration. Before applying, make sure to update your Git account. If you meet the above requirements and are ready to commit to a 6-month internship, we encourage you to apply. The stipend for this position is Rs. 8000 per month. Location: Sanjay Nagar, Bengaluru, Karnataka Work Location: In person,

As a Python Developer Intern at our company, you will have the opportunity to work on real-world projects and gain hands-on experience in software development. Your main responsibilities will include: - Assisting senior developers in designing, developing, and testing Python applications. - Writing clean, efficient, and well-documented code that meets project specifications. - Participating in code reviews and contributing to improving code quality and best practices. - Debugging and troubleshooting software issues to ensure smooth functionality. - Learning and applying best practices for software development. - Contributing to the development of internal tools and libraries. - Potentially working with web frameworks such as Django. - Participating in team meetings and contributing to discussions on project development. To qualify for this role, you should have: - A basic understanding of Python programming concepts. - Familiarity with data structures and algorithms. - Knowledge of object-oriented programming (OOP) principles. - Strong ability to learn new technologies quickly. - Excellent problem-solving and analytical skills. - Strong communication and teamwork skills. - Basic understanding of version control systems (e.g., Git) is a plus. - Familiarity with Python libraries like Pandas, NumPy, or Flask/Django is a plus. - Currently pursuing or recently completed a degree in Computer Science, Software Engineering, or a related field. This internship will provide you with: - Practical experience in Python development. - Exposure to real-world software development projects. - Mentorship from experienced developers. - Opportunity to learn and apply industry best practices. - Valuable experience to enhance your resume. - Possible future employment opportunities with the company.,

**Role Overview:** As a Data Engineer with 5 to 10 years of experience, you will be responsible for developing and maintaining data pipelines using Python, Pyspark, Pandas, and Numpy. Your main focus will be on ensuring efficient data processing and analysis. **Key Responsibilities:** - Develop and maintain data pipelines using Python, Pyspark, Pandas, and Numpy. - Ensure the scalability and efficiency of data processing tasks. - Collaborate with the data science team to understand requirements and deliver solutions. - Troubleshoot and optimize existing data pipelines for improved performance. - Implement data quality checks and ensure data integrity throughout the pipeline. **Qualifications Required:** - 5 to 10 years of experience in data engineering. - Proficiency in Python, Pyspark, Pandas, and Numpy. - Strong understanding of data processing and analysis techniques. - Experience in optimizing data pipelines for performance and scalability. - Excellent problem-solving skills and attention to detail. Kindly let me know if you need any further information.,