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Work Level : Individual Core : Communication Skills, Problem Solving, Execution Leadership : Decisive, Team Alignment, Working Independently Industry Type : IT Services & Consulting Function : Data Analyst Key Skills : MySQL,Python,Bigdata,Data Science,Data Analytics,Data Analysis,Cloud,AWS,Business Intelligence (BI),Statistical Modeling,R,Big Data Platforms,Tableau Education : Graduate Note: This is a requirement for one of the Workassist Hiring Partner Primary Responsibility: Collect, clean, and analyze data from various sources. Assist in creating dashboards, reports, and visualizations. We are looking for a highly motivated Data Analyst Intern to join our team remotely. As a Data Analyst Intern, you will work closely with our data team to collect, clean, analyze, and visualize data to provide actionable insights. This internship is an excellent opportunity to gain hands-on experience in data analytics while working on real-world projects. Responsibilities: This is a Remote Position. Collect, clean, and preprocess data from various sources. Perform exploratory data analysis (EDA) to identify trends and patterns. Develop dashboards and reports using tools like Excel, Power BI, or Tableau. Use SQL to query and manipulate large datasets. Assist in building predictive models and performing statistical analyses. Present insights and recommendations based on data findings. Collaborate with cross-functional teams to support data-driven decision-making. Company Description Workassist is an online recruitment and employment solution platform based in Lucknow, India. We provide relevant profiles to employers and connect job seekers with the best opportunities across various industries. With a network of over 10,000+ recruiters, we help employers recruit talented individuals from sectors such as Banking & Finance, Consulting, Sales & Marketing, HR, IT, Operations, and Legal. We have adapted to the new normal and strive to provide a seamless job search experience for job seekers worldwide. Our goal is to enhance the job seeking experience by leveraging technology and matching job seekers with the right employers. For a seamless job search experience, visit our website: https://bit.ly/3QBfBU2 (Note: There are many more opportunities apart from this on the portal. Depending on the skills, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 30th June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 30th June 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field) 🧠 Knowledge of machine learning concepts and algorithms 💻 Proficiency in Python or R (preferred) 🤝 Strong analytical and teamwork skills Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds.

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python or R for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 30th June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 30th June 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds.

Job Description Design and develop machine learning models tailored to mechanical engineering challenges, including predictive modelling, simulation optimisation, and failure analysis. Utilise deep learning and other advanced ML techniques to improve the accuracy and efficiency of CAE simulations. Preprocess and analyse large datasets from CAE simulations, experimental tests, and manufacturing processes for modelling. Train, validate, and fine-tune machine learning models using real-world engineering data. Optimise models for performance, scalability, and robustness in production environments. Collaborate with CAE engineers to integrate ML models into existing simulation workflows (e.g., FEA, CFD, structural analysis). Automate repetitive simulation tasks and enable predictive analytics for design optimisation. Work closely with mechanical engineers, data scientists, and software developers to identify business challenges and develop data-driven solutions. Deploy machine learning models into production environments and monitor their performance. Maintain and update models to ensure reliability and continuous improvement. Stay abreast of the latest advancements in machine learning, AI, and CAE technologies. Apply innovative approaches to solve complex engineering problems. Requirements Bachelor’s or Master’s degree in Mechanical Engineering, Computer Science, or a related field Proven 2-3 years of experience in developing and deploying machine learning models, preferably in mechanical engineering or CAE domain Hands-on experience with CAE tools such as ANSYS, Abaqus, or similar FEA/CFD software Strong programming skills in Python, R, or Java Proficiency in machine learning frameworks (TensorFlow, PyTorch, scikit-learn) Experience with data preprocessing, feature engineering, and statistical analysis Solid understanding of mathematics, statistics, and problem-solving skills Excellent analytical thinking and ability to tackle complex engineering challenges Strong communication and teamwork skills to collaborate across disciplines Preferred: Experience with physics-informed machine learning and digital twin technologies Preferred: Familiarity with automation of CAE workflows and predictive modelling for product design Benefits Challenging job and a chance to team up with a young and dynamic professional group Chance to build yourself as WE grow. Remuneration that stays competitive and attractive to retain the best. Opportunity to join an organization experiencing year on year growth check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#6875E2;border-color:#6875E2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">

Description ISP Data Science - Analyst Role Profile Location: Bangalore, India Purpose of Role We are seeking a highly skilled and data-driven Data Science - Analyst to join our team. The ideal candidate will leverage advanced data analytics and AI techniques along with business heuristics to analyse student enrolment and retention data, identify trends, and provide actionable insights to support ISP and its schools’ enrolment goals. This role is critical for improving student experiences, optimising resource allocation, and enhancing overall enrolment and retention performance. The successful candidate will bring strong expertise in Python or equivalent-based statistical modelling (including propensity modelling), experience with Azure Databricks for scalable data workflows, and advanced skills in Power BI to build high-impact visualisations and dashboards. The role requires both technical depth and the ability to translate complex insights into strategic recommendations. ISP Principles Begin with our children and students. Our children and students are at the heart of what we do. Simply, their success is our success. Wellbeing and safety are both essential for learners and learning. Therefore, we are consistent in identifying potential safeguarding and Health & Safety issues and acting and following up on all concerns appropriately. Treat everyone with care and respect. We look after one another, embrace similarities and differences and promote the well-being of self and others. Operate effectively. We focus relentlessly on the things that are most important and will make the most difference. We apply school policies and procedures and embody the shared ideas of our community. Are financially responsible. We make financial choices carefully based on the needs of the children, students and our schools. Learn continuously. Getting better is what drives us. We positively engage with personal and professional development and school improvement. ISP Data Science - Analyst Key Responsibilities Data Analysis: Collect, clean, and preprocess, enrolment, retention, and customer satisfaction data from multiple sources. Analyse data to uncover trends, patterns, and factors influencing enrolment, retention, and customer satisfaction. AI and Machine Learning Implementation: Expertise in developing and deploying propensity models to support customer acquisition and retention activities and strategy. Experience with Azure, Databricks (and other equivalent platforms) for scalable data engineering and machine learning workflows. Develop and implement AI models, such as predictive analytics and propensity models to forecast enrolment patterns and retention risks. Use machine learning algorithms to identify high-risk student populations and recommend intervention strategies. Support lead scoring model development on HubSpot CRM. Collaborate with key colleagues to understand and define the most impactful use cases for AI and Machine Learning. Analyse cost/benefit of deploying systems and provide recommendations. Reporting and Visualisation: Create relevant dashboards on MS Power BI, reports, and visualisations to communicate key insights to stakeholders. Present findings in a clear and actionable manner to support decision-making. Collaboration: Work closely with key Group and Regional colleagues to understand challenges and opportunities related to enrolment and retention. Partner with IT and data teams to ensure data integrity and accessibility. Continuous Improvement: Monitor the performance of AI models and analytics tools, making necessary adjustments to improve accuracy and relevance. Stay updated with the latest advancements in AI, data analytics, and education trends. Skills, Qualifications and Experience Education: Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field (Master’s preferred). Experience: At least 2 years’ experience in data analytics, preferably in education or a related field Experience in implementing predictive models - propensity models and interpreting their results. Strong Python skills for statistical modelling, including logistic regression, clustering, and decision trees. Hands-on experience with Azure Databricks is highly preferred. Strong working knowledge of Power BI for building automated and interactive dashboards. Hands-on experience with AI/ML tools and frameworks and currently employed in an AI/ML role. Proficiency in SQL, Python, R, or other data analytics languages. Skills and preferred attributes: Strong understanding of statistical methods and predictive analytics. Proficiency in data visualization tools (e.g., Tableau, Power BI, or similar). Excellent problem-solving, critical thinking, and communication skills. Ability to work collaboratively with diverse teams. Experience in education technology or student success initiatives. Familiarity with CRM or student information systems. Knowledge of ethical considerations in AI and data privacy laws. ISP Commitment to Safeguarding Principles ISP is committed to safeguarding and promoting the welfare of children and young people and expects all staff and volunteers to share this commitment. All post holders are subject to appropriate vetting procedures, including an online due diligence search, references and satisfactory Criminal Background Checks or equivalent covering the previous 10 years’ employment history. ISP Commitment to Diversity, Equity, Inclusion, and Belonging ISP is committed to strengthening our inclusive culture by identifying, hiring, developing, and retaining high-performing teammates regardless of gender, ethnicity, sexual orientation and gender expression, age, disability status, neurodivergence, socio-economic background or other demographic characteristics. Candidates who share our vision and principles and are interested in contributing to the success of ISP through this role are strongly encouraged to apply.

Position Title: AI/ML Developer (Tamil Nadu, India) Open Period: 28 June 2025 – 12 July 2025 Background: The Regional Integrated Multi-Hazard Early Warning System for Africa and Asia (RIMES) is an international and intergovernmental institution, owned and managed by its Member States, for the generation and application of early warning information. RIMES evolved from the efforts of countries in Africa and Asia, in the aftermath of the 2004 Indian Ocean tsunami, to establish a regional early warning system within a multi-hazard framework for the generation and communication of early warning information, and capacity building for preparedness and response to trans-boundary hazards. RIMES was established on 30 April 2009, and was registered with the United Nations on 1 July 2009. RIMES operates from its regional early warning center located at the campus of the Asian Institute of Technology in Pathumthani. Position Description: The AI/ML Developer is to develop, train, validate, and deploy AI and ML models that meet the project's analytical needs, ensuring accuracy, scalability, and efficiency. Contract Type: Full-Time Contract Duty station: TNSDMA office at Chennai, Tamil Nada, India Minimum Qualifications: Knowledge Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.. Experience Minimum 3 years of experience in machine learning or AI development Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn. Experience with data preprocessing, feature engineering, and model evaluation. Experience with cloud services (AWS, Azure, GCP) for AI model deployment, good understanding of data structures, algorithms, and software engineering practices Experience with database systems (SQL, NoSQL) and big data tools (e.g., Spark, Hadoop) is a plus. Personal qualities Strong analytical and problem-solving skills. Excellent programming and debugging abilities. Ability to communicate technical concepts to non-technical stakeholders. Attention to detail and commitment to reproducible research/code. Strong teamwork and collaborative mindset. Major Duties and Responsibilities: 1. Data Processing & Analysis Collect, clean, and preprocess structured and unstructured data. Conduct exploratory data analysis to identify trends and patterns. 2. Model Development Design, train, validate, and fine-tune machine learning models using frameworks such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face. Develop and optimize deep learning architectures for classification, regression, NLP, or computer vision tasks. 3. Deployment & Integration Deploy models using tools like Docker, FastAPI, Flask, or TensorFlow Serving. Integrate models into existing applications, pipelines, or APIs. Implement monitoring and performance evaluation of deployed models. 4. Documentation & Collaboration Write clear and comprehensive documentation for models, data pipelines, and APIs. Work collaboratively with data engineers, software developers, and domain experts to ensure alignment with project objectives. 5. Innovation & Research Stay up to date with the latest AI/ML research and tools. Contribute to prototyping and innovation initiatives within the organization. 6. Deliverables: Clean, well-documented code and model scripts. Trained and validated AI/ML models with performance reports. Data pipelines and preprocessing scripts. Deployment-ready models integrated with APIs or platforms. Monthly progress reports on development and outcomes. Final report with documentation on model architecture, datasets, results, and recommendations. How to Apply: Interested candidates should send your application letter, resume, salary expectation and 2 references in PDF format to rimeshra@rimes.int by midnight of 12 July 2025, Bangkok time. Please state “AI/ML Developer (Tamil Nadu, India): Your Name “ the Subject line of the email. Only short-listed applicants will be contacted. Ms. Dusadee Padungkul Head, Department of Operational Support Regional Integrated Multi-Hazard Early Warning System AIT Campus, 58 Moo 9 Paholyothin Rd., Klong 1, Klong Luang, Pathumthani 12120 Thailand. RIMES promotes diversity and inclusion in the workplace. Well-qualified applicants particularly women are encouraged to apply. Job Type: Full-time Schedule: Monday to Friday Ability to commute/relocate: Triplicane, Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): Do you have any prior work experience with Non-Profit Organizations, International Organizations, or Inter-Governmental Organizations? If not, are you interested in working in such environments? Please elaborate briefly. Education: Bachelor's (Required) Experience: AI development: 3 years (Preferred) Machine learning: 3 years (Preferred) Python: 3 years (Preferred) Hadoop: 3 years (Preferred) TensorFlow: 3 years (Preferred) Data preprocessing : 3 years (Preferred) Data structures: 3 years (Preferred) Spark: 3 years (Preferred) Scikit-learn : 3 years (Preferred) Language: English (Required) Location: Triplicane, Chennai, Tamil Nadu (Required)

AI & ML Intern Join us as an AI/ML Intern and work on real-world projects across the full ML lifecycle - from data preprocessing to model deployment. You'll team up with skilled engineers and data scientists to develop intelligent solutions for business challenges. Key Responsibilities: Clean, preprocess, and analyze datasets. Apply ML algorithms (supervised & unsupervised) using tools like TensorFlow, PyTorch, or Keras. Tune models and evaluate performance using metrics like F1-score, ROC-AUC, etc. Build deployment-ready pipelines using tools like Flask, FastAPI, or Streamlit. Document experiments and collaborate via Git. Present findings and learn from regular mentor reviews. Preferred Skills: Python, SQL Strong grasp of ML concepts & model evaluation techniques Experience with deep learning frameworks and deployment tools Familiarity with Git/version control Benefits: Hands-on project experience with real business impact Mentorship from industry experts Flexible work hours Internship certificate and recommendation letter Opportunity for pre-placement offer (PPO) Job Types: Part-time, Fresher, Internship Contract length: 3 months Pay: ₹12,000.00 - ₹25,000.00 per month Benefits: Flexible schedule Schedule: Day shift Monday to Friday Rotational shift Weekend only Supplemental Pay: Performance bonus Work Location: In person

Job Description - We are seeking a Machine Learning Engineer to assist in developing and implementing object detection and AI-based predictions. You will have the opportunity to work on real-world applications and contribute to the development of novel algorithms. As a ML engineer, you’ll collaborate with our team and works various applied AI/ML tasks. Key Responsibilities - Assist in training and fine-tuning ML models for real-time AI-based tasks. Work with large datasets to prepare, annotate, preprocess, and augment data for training purposes. Implement and test model architectures to improve accuracy, speed, and performance. Help analyze and optimize model performance based on results and metrics. Document research and findings, contributing to team knowledge and project reports. Participate in code reviews and contribute to software development best practices. Stay updated with the latest trends and research in computer vision and applied ML. Qualifications - Bachelor's or master's degree program in Computer Science, Electrical Engineering, Data Science, or a related field. Solid understanding of AI/ML concepts, data cleaning, synthetic data generation and other relevant concepts. Hands-on experience with MLOps. Hands-on experience with YOLO or similar deep learning object detection frameworks (e.g., Faster R-CNN, SSD). Proficiency in programming languages such as Python Experience with OpenCV and Pytorch is a must. Experience with Statistical Analysis and modeling is a plus. Experience with CUDA and GPU acceleration is a plus. Experience with ROS and C++ is also a huge plus. Strong problem-solving skills, attention to detail, and a collaborative mindset. Preferred Skills - Knowledge of data cleaning techniques and data preprocessing methods. Familiarity with version control systems like Git . Experience in deploying models into production environments (optional). Exposure to ROS and OpenCV in C++.

🧠 Data Science Intern (Remote) Company: Coreline Solutions Type: Internship (3 to 6 Months) Mode: 100% Remote Stipend: Unpaid (Full-time opportunity may be offered upon successful completion) 🌐 About Us Coreline Solutions is a digital consulting and tech company focused on building smart, data-driven solutions for modern businesses. From AI integration to analytics platforms, we empower companies through technology, data science, and intelligent systems. Our team believes in continuous learning, transparency, and innovation — and we’re looking for passionate interns to grow with us. 🎯 About the Internship We’re seeking a Data Science Intern who is eager to explore real-world applications of machine learning, data analysis, and automation. You’ll be working alongside our engineering and analytics team to contribute to projects that improve business processes, insights, and outcomes. This internship is entirely remote, giving you the flexibility to learn and contribute from wherever you are. 📌 Key Responsibilities Collect, clean, and preprocess structured and unstructured data Perform exploratory data analysis (EDA) to extract insights Build and evaluate predictive models using Python and ML libraries Visualize data through tools such as matplotlib, seaborn, or Power BI Support teams with statistical analysis, feature engineering, and reporting Document models, results, and learnings in a collaborative environment ✅ What We’re Looking For Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, or a related field Good understanding of Python, NumPy, pandas, scikit-learn, and basic ML algorithms Familiarity with SQL and data visualization tools Analytical thinking and a curiosity for solving complex problems Ability to work independently and meet project deadlines remotely 💡 Bonus Skills (Preferred but Not Required) Exposure to cloud services (AWS, GCP, or Azure) Basic knowledge of Git/GitHub for version control Interest in NLP, deep learning, or data engineering 🎁 What You’ll Gain Hands-on experience with live data projects and business use-cases Mentorship from experienced data scientists and tech leads Internship Certificate upon completion Letter of Recommendation for high-performing interns Possibility of full-time placement based on performance and company needs 🤝 Our Commitment We are proud to be an equal opportunity organization. Coreline Solutions values diversity and is committed to creating an inclusive space where all team members, interns, and applicants feel respected and supported. All internship communications and personal data will be handled responsibly and securely, in alignment with LinkedIn’s Privacy Policy and Professional Community Policies. 📬 How to Apply To apply, send your updated resume and a brief introduction to: 📩 hr@corelinesolutions.in Use the subject line: "Application – Data Science Intern – [Your Full Name]" 📌 Before applying, make sure your LinkedIn profile reflects your latest skills and projects.

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 29th June 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds.

About the Company Over the last twenty years, 32nd has delivered 2.4 million square-feet of award-winning commercial, co-working, hospitality and retail space across India. Through decades of working with the world's leading brands, artists and restaurateurs, 32nd has become a pioneering Lifestyle Real- Estate company that blends together the most sought after locations, with visionary architecture and design, industry-defining standards in operations and management, and strong, collaborative partnerships. Find out more on: 32nd.com About the Role We are on a lookout for a Data Analyst with 3+ years of experience to join our team. This opportunity will provide hands-on experience in analyzing and interpreting data to drive business decisions. You will work closely with the team to extract insights from various datasets and assist in the development of data-driven solutions. What You Will Be Doing Clean, preprocess, and analyze large datasets to identify trends, patterns, and correlations Assist in the development and implementation of data models and algorithms Create visualizations and dashboards to present findings to stakeholders Collaborate with cross-functional teams to gather requirements and understand business needs Support ad hoc analysis and reporting requests from various departments Contribute to ongoing projects and initiatives to improve data quality and efficiency What You Bring To The Table Exceptional Python and SQL skills Familiarity with data visualization tools such as Tableau, Power BI, or matplotlib A degree in Computer Science, Statistics, Mathematics, Economics, or related field Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders What Really Wows Us Understanding and keenness to learn new things Creative approach to solve real-time problems instead of relying on a process that was laid out a while back Entrepreneurial DNA and a high-ownership approach towards challenges The Fine Print 32nd is committed to equal employment opportunities regardless of race, colour, national origin, gender, sexual orientation, age, religion, and veteran status. We embrace diversity as a strength, and our hiring and promotion decisions are based solely on qualifications and merit. We are proud to be an equal opportunity employer, dedicated to building a more equitable and inclusive future for all.

Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 29th June 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field) 🧠 Knowledge of machine learning concepts and algorithms 💻 Proficiency in Python or R (preferred) 🤝 Strong analytical and teamwork skills Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds.

Position Title: AI/ML Developer (Tamil Nadu, India) Open Period: 28 June 2025 – 12 July 2025 Background: The Regional Integrated Multi-Hazard Early Warning System for Africa and Asia (RIMES) is an international and intergovernmental institution, owned and managed by its Member States, for the generation and application of early warning information. RIMES evolved from the efforts of countries in Africa and Asia, in the aftermath of the 2004 Indian Ocean tsunami, to establish a regional early warning system within a multi-hazard framework for the generation and communication of early warning information, and capacity building for preparedness and response to trans-boundary hazards. RIMES was established on 30 April 2009, and was registered with the United Nations on 1 July 2009. RIMES operates from its regional early warning center located at the campus of the Asian Institute of Technology in Pathumthani. Position Description: The AI/ML Developer is to develop, train, validate, and deploy AI and ML models that meet the project's analytical needs, ensuring accuracy, scalability, and efficiency. Contract Type: Full-Time Contract Duty station: TNSDMA office at Chennai, Tamil Nada, India Minimum Qualifications: Knowledge Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.. Experience Minimum 3 years of experience in machine learning or AI development Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn. Experience with data preprocessing, feature engineering, and model evaluation. Experience with cloud services (AWS, Azure, GCP) for AI model deployment, good understanding of data structures, algorithms, and software engineering practices Experience with database systems (SQL, NoSQL) and big data tools (e.g., Spark, Hadoop) is a plus. Personal qualities Strong analytical and problem-solving skills. Excellent programming and debugging abilities. Ability to communicate technical concepts to non-technical stakeholders. Attention to detail and commitment to reproducible research/code. Strong teamwork and collaborative mindset. Major Duties and Responsibilities: 1. Data Processing & Analysis Collect, clean, and preprocess structured and unstructured data. Conduct exploratory data analysis to identify trends and patterns. 2. Model Development Design, train, validate, and fine-tune machine learning models using frameworks such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face. Develop and optimize deep learning architectures for classification, regression, NLP, or computer vision tasks. 3. Deployment & Integration Deploy models using tools like Docker, FastAPI, Flask, or TensorFlow Serving. Integrate models into existing applications, pipelines, or APIs. Implement monitoring and performance evaluation of deployed models. 4. Documentation & Collaboration Write clear and comprehensive documentation for models, data pipelines, and APIs. Work collaboratively with data engineers, software developers, and domain experts to ensure alignment with project objectives. 5. Innovation & Research Stay up to date with the latest AI/ML research and tools. Contribute to prototyping and innovation initiatives within the organization. 6. Deliverables: Clean, well-documented code and model scripts. Trained and validated AI/ML models with performance reports. Data pipelines and preprocessing scripts. Deployment-ready models integrated with APIs or platforms. Monthly progress reports on development and outcomes. Final report with documentation on model architecture, datasets, results, and recommendations. How to Apply: Interested candidates should send your application letter, resume, salary expectation and 2 references in PDF format to rimeshra@rimes.int by midnight of 12 July 2025, Bangkok time. Please state “AI/ML Developer (Tamil Nadu, India): Your Name “ the Subject line of the email. Only short-listed applicants will be contacted. Ms. Dusadee Padungkul Head, Department of Operational Support Regional Integrated Multi-Hazard Early Warning System AIT Campus, 58 Moo 9 Paholyothin Rd., Klong 1, Klong Luang, Pathumthani 12120 Thailand. RIMES promotes diversity and inclusion in the workplace. Well-qualified applicants particularly women are encouraged to apply. Job Type: Full-time Schedule: Monday to Friday Ability to commute/relocate: Triplicane, Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): Do you have any prior work experience with Non-Profit Organizations, International Organizations, or Inter-Governmental Organizations? If not, are you interested in working in such environments? Please elaborate briefly. Education: Bachelor's (Required) Experience: AI development: 3 years (Preferred) Machine learning: 3 years (Preferred) Python: 3 years (Preferred) Hadoop: 3 years (Preferred) TensorFlow: 3 years (Preferred) Data preprocessing : 3 years (Preferred) Data structures: 3 years (Preferred) Spark: 3 years (Preferred) Scikit-learn : 3 years (Preferred) Language: English (Required) Location: Triplicane, Chennai, Tamil Nadu (Required)

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 29th June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python or R for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 29th June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

About the Role: This opportunity is for final-year B.Tech student looking to kickstart your career in AI and ML with a 6-months paid internship. Join us as an AI/ML Intern and work alongside our core engineering team to build real-world AI applications across NLP, computer vision, generative AI, and more. You will get hands-on exposure to building chatbots, working with large language models, and implementing end-to-end ML pipelines that power intelligent applications. What You’ll Work On: Collect, clean, and preprocess data for ML model training Support training, evaluation, and deployment of machine learning models Work on embeddings, vector databases, and LLM APIs (e.g., OpenAI, Claude, Mistral) Assist in developing chatbots, RAG systems, and automation agents Participate in brainstorming sessions, technical reviews, and POCs What We’re Looking For: Final-year B.Tech student (2025 pass-out) in CS, AI/ML, Data Science, or related fields Basic understanding of Python and ML libraries (e.g., scikit-learn, PyTorch, TensorFlow) Familiarity with generative AI concepts, LLMs, or chatbot projects is a plus Eagerness to learn and contribute in a fast-moving, collaborative environment Good communication skills and attention to detail Dedication in work to support our projects and build your career in AI/ML What You’ll Get: Paid internship with industry exposure Mentorship from experienced AI engineers from IIT/IIM background Opportunity to work on real client and internal projects Potential full-time offer based on internship performance 📩 Interested? Apply on linked-in or send your resume to : contact@techificial.ai

: SYSTRA is one of the world's leading engineering and consulting groups specializing in public transport and mobility solutions. For over 65 years, the Group has been committed to helping cities and regions develop by creating, improving and modernizing their transport infrastructure and systems. Context: In India, SYSTRA is an international consulting and engineering company operating in the fields of Metros, High Speed Rail, Railways, Roads, Buildings, Urban planning, and Water & Environment for public and private organizations. Our engineers work with passion to deliver the most reliable, cost-effective and made-to measures solutions allowing end users to move seamlessly. SYSTRA’s unique expertise is backed with a reputation built through technical excellence delivered on projects. Thanks to our know-how of our employees spread across India, we are present at all stages from upstream studies to operation and maintenance. We provide a comprehensive solution to manage all kinds of missions: Detailed Design Consultant, Project Management, Independent checking services. SYSTRA India’s comprehensive know-how and expertise in Railways provides a wide spectrum of solutions for any challenge (Building a new rail link, doubling the capacity, gauge conversion, upgrading a network, improving the performance of existing lines, etc.). Our extensive experience encompasses, Bridges, station buildings, Depots, Earthwork & Track Works, Power Supply and Transmission, Signaling & Telecommunications, Rolling Stock, Utilities diversion and yard re-modelling etc. Our services cover the entire life cycle of the project implementation. Currently, we are bidding for Urban Planning projects across India. The position of Remote Sensing Expert is the key position in these BIDs. Missions/Main Duties: Acquire, preprocess, and analyze remote sensing data from satellite, aerial, and drone platforms. Perform image classification, change detection, and feature extraction to support land use, environmental, and infrastructure planning. Integrate remote sensing outputs with GIS datasets for spatial modeling and scenario development. Collaborate with GIS analysts, planners, and environmental experts to ensure data accuracy and relevance. Maintain geospatial databases and metadata documentation. Prepare technical reports, maps, and visualizations for internal teams and external stakeholders. Stay current with emerging remote sensing technologies, sensors, and analytical techniques. Profile/Skills: Masters in Geo- Informatics/ Geomatics/ Remote Sensing from recognized university He/She should have 5 years’ experience He/She should have handled at least Three (03) projects of GIS based master plans. : We commit to put people who join us at the heart of improving transportation and urban infrastructure efficiency. As we are growing, this is time to be a part of this challenging adventure. It’s not a job - it’s a career!

Company Description Derangula Consulting Inc. offers business intelligence, IT consultancy & support, and staffing services tailored to meet your business needs. Our team of experts is committed to helping you maximize the benefits of our services and support your business growth. Looking for a Python Developer for Time Series Forecasting (10 Years of Historical Data) We are seeking an experienced Python developer with a strong background in data analysis and forecasting to work on a key component of our Business Intelligence (BI) system. Project Overview: You will be working with 10 years of historical data to develop a forecasting model that captures underlying trends and seasonality. The forecasted data will be integrated into our existing BI reports to enhance strategic decision-making. Requirements: • Proficiency in Python, especially with data science libraries like pandas, NumPy, scikit-learn, statsmodels, Prophet, or similar • Experience with time series analysis and forecasting techniques • Ability to clean, preprocess, and analyze historical data • Build and validate forecasting models based on previous trends • Generate forecasted datasets that align with business metrics and timelines • Deliver output suitable for integration into BI tools such as Power BI, Qlik, or Tableau 🎯 Deliverables: • A Python-based forecasting pipeline or script • Forecasted data for relevant KPIs • Documentation on the model used and how to update it in the future • Optional: visualizations or charts demonstrating forecasting accuracy/trends 🧠 Nice to Have: • Familiarity with BI tools or experience working alongside BI teams • Understanding of domain-specific KPIs (e.g., finance, sales, operations, etc.) If you’re passionate about turning historical data into actionable insights and have a track record of delivering reliable forecasts, we’d love to hear from you Feel free to call us -9390571086 Mail-derangulamahesh61@gmail.com

We are looking for a Healthcare Data Analyst to gather and analyze healthcare data from multiple sources (e.g. insurance processing, clinical operations, patient behavior) to extract trends and business insights. To succeed in this role, you should be analytical and resourceful. You should also be an excellent communicator who’s able to tell the story behind raw data to non-technical audiences. If you also have experience in the healthcare industry, we’d like to meet you. Your goal will be to help us operate profitably and streamline our processes to keep patients and employees satisfied. Responsibilities Understand health care operations and systems Create and validate record-keeping processes Pull and integrate data from disparate sources (e.g. cost and claims or clinical data) Evaluate and preprocess raw information Delve into data to discover discrepancies and patterns Build models that capture a wide range of health care operations Present and explain information in an accessible way (e.g budgeting reports) Suggest ways to both increase healthcare quality and reduce costs (e.g. money spent in R&D) Collaborate with management and internal teams to implement and evaluate improvements Job Types: Full-time, Fresher Pay: ₹11,489.33 - ₹39,200.27 per month Benefits: Health insurance Provident Fund Schedule: Day shift Rotational shift Supplemental Pay: Performance bonus Yearly bonus Work Location: In person

Data Analyst Intern (Remote | 3 Months) Company: INLIGHN TECH Location: Remote Duration: 3 Months Stipend (Top Performers): ₹15,000 Perks: Certificate | Letter of Recommendation | Hands-on Training About INLIGHN TECH INLIGHN TECH empowers students and recent graduates through hands-on, project-based internships. Our Data Science Internship is designed to enhance your technical skills while solving real-world data challenges, equipping you for the industry. Role Overview As a Data Analyst Intern , you’ll dive deep into real datasets, apply machine learning techniques, and generate insights that support informed decision-making. This internship provides the perfect launchpad for aspiring data professionals. Key Responsibilities Collect, clean, and preprocess data for analysis Apply statistical and machine learning techniques Build models for classification, regression, and clustering tasks Develop dashboards and visualizations using Python or Power BI Present actionable insights to internal stakeholders Collaborate with a team of peers on live data projects Requirements Currently pursuing or recently completed a degree in Computer Science, Data Science, Mathematics, or a related field Solid understanding of Python and key libraries: Pandas, NumPy, Scikit-learn Familiarity with machine learning algorithms and SQL Strong analytical and problem-solving abilities Eagerness to learn and grow in a fast-paced environment What You’ll Gain Real-world experience with industry-standard tools and datasets Internship Completion Certificate Letter of Recommendation for outstanding contributors Potential for full-time opportunities A portfolio of completed data science projects

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 28th June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 28th June 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field) 🧠 Knowledge of machine learning concepts and algorithms 💻 Proficiency in Python or R (preferred) 🤝 Strong analytical and teamwork skills Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds.

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 28th June 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds.