704 Matplotlib Jobs - Page 7

Company: Haris & Co Academy Location: Calicut, Kerala Experience: 1yr Job Summary: Haris & Co Academy is seeking a passionate and knowledgeable Data Analyst Mentor to train and support aspiring data professionals. In this role, you will lead sessions on data tools and techniques including Excel, SQL, Python, Python Libraries, Power BI, and Tableau, while guiding students through real-world projects and preparing them for careers in the data analytics field. You’ll also assist in maintaining academic quality, fostering practical skills, and supporting operational needs. Key Responsibilities: Mentorship: Provide one-on-one and group mentorship to students, helping them understand core data concepts. Curriculum Delivery: Deliver sessions on Excel, SQL, Python for Data Analysis, Tableau, and Power BI. Facilitate hands-on exercises and real-time case studies to reinforce learning. Industry Insights: Share practical use cases, industry trends, and tools used in modern data analytics roles. Skills Development: Train students in data collection, cleaning, analysis, visualization, and dashboard creation. Strengthen skills in storytelling with data and data-driven decision-making. Project Review: Evaluate student projects and dashboards for clarity, accuracy, and presentation standards. Career Support: Guide students in portfolio creation, LinkedIn optimization, and interview preparation. Provide insights into hiring trends and job roles in data analytics. Operational Support: Support academic and office-related tasks as needed to ensure smooth operations. Qualifications: Technical Skills: Proficient in Microsoft Excel, SQL, Python (Pandas, NumPy, Matplotlib, Seaborn), Power BI, and Tableau. Prefer Knowledge in Machine Learning Libraries. Solid understanding of data analytics workflows, statistics, and data storytelling. Communication & Mentorship: Strong communication and interpersonal skills. Passion for mentoring and teaching aspiring data professionals. Preferred: Familiarity with Jupyter Notebooks, Git/GitHub. Exposure to basic machine learning concepts is a plus. Prior teaching, training, or mentoring experience in an academic or bootcamp environment. Job Types: Full-time, Permanent Schedule: Day shift Work Location: In person

Job Title Data Science - Intern Division WBS - Data Tower Location Remote Work Arrangement Hybrid Purpose of Role A Data Science Intern in a mining manufacturing organization like Weir plays a pivotal role in bridging academic knowledge with real-world data challenges. By applying analytical techniques, building predictive models, and uncovering actionable insights that support strategic decision-making, the intern contributes to the organization's data-driven transformation. Why Choose Weir Be part of a global organization dedicated to building a better future: At Weir, we constantly reinvent, adapt, and find sustainable ways to access essential resources. Each of us contributes to this mission, making it an exciting challenge. An opportunity to grow your own way: Weir offers a dynamic environment where you can take on new challenges, explore new areas, and tailor your career path with support and freedom. Feel empowered to be yourself and belong: Weir is inclusive and values each individual's contribution. We focus on people and their well-being, promoting fairness, honesty, transparency, and authenticity. Key Responsibilities Perform exploratory data analysis (EDA) to uncover insights. Targeted capability testing of Data Platforms such as Microsoft Fabric and Databricks. Creating and developing evaluation framework for Agentic Systems. Assist in data developing frameworks for creation of reusable patterns in Generative AI product development. Collaborate with cross-functional teams to understand business requirements. Document findings, methodologies, and code for reproducibility. Demonstrate 100% commitment to our zero harm behaviors in support of our drive towards developing a world class safety culture. Job Knowledge/Education And Qualifications Basic understanding of statistics and machine learning concepts. Proficiency in Python (Pandas, NumPy, Scikit-learn, etc.). Familiarity with data visualization tools (e.g., Matplotlib, Seaborn). Experience with SQL is a plus. Exposure of Generative AI is a plus Strong analytical and problem-solving skills. Good communication and teamwork abilities. Currently pursuing a Bachelor's or master's degree in engineering. Availability for a full-time internship for 2 months Founded in 1871, Weir is a world leading engineering business with a purpose to make mining operations smarter, more efficient and sustainable. Thanks to Weir’s technology, our customers can produce essential metals and minerals using less energy, water and waste at lower cost. With the increasing need for metals and minerals for climate change solutions, Weir colleagues are playing their part in powering a low carbon future. We are a global family of 11,000 uniquely talented people in over 60 counties, inspiring each other to do the best work of our lives. For additional information about what it is like to work at Weir, please visit our Career Page and LinkedIn Life Page. Weir is committed to an inclusive and diverse workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, veteran status, disability, age, or any other legally protected status. Show more Show less

Senior Applied & Data scientist Hyderabad, Telangana, India Date posted Jun 16, 2025 Job number 1830452 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Data Science Employment type Full-Time Overview Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. The Defender Experts (DEX) Research team is at the forefront of Microsoft’s threat protection strategy, combining world-class hunting expertise with AI-driven analytics to protect customers from advanced cyberattacks. Our mission is to move protection left—disrupting threats early, before damage occurs—by transforming raw signals into intelligence that powers detection, disruption, and customer trust. We’re looking for a passionate and curious Data Scientist to join this high-impact team. In this role, you'll partner with researchers, hunters, and detection engineers to explore attacker behavior, operationalize entity graphs, and develop statistical and ML-driven models that enhance DEX’s detection efficacy. Your work will directly feed into real-time protections used by thousands of enterprises and shape the future of Microsoft Security. This is an opportunity to work on problems that matter—with cutting-edge data, a highly collaborative team, and the scale of Microsoft behind you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field 6+ years of experience applying data science or machine learning in a real-world setting, preferably in security, fraud, risk, or anomaly detection Proficiency in Python and/or R, with hands-on experience in data manipulation (e.g., Pandas, NumPy), modeling (e.g., scikit-learn, XGBoost), and visualization (e.g., matplotlib, seaborn) Strong foundation in statistics, probability, and applied machine learning techniques Experience working with large-scale datasets, telemetry, or graph-structured data Ability to clearly communicate technical insights and influence cross-disciplinary teams Demonstrated ability to work independently, take ownership of problems, and drive solutions end-to-end Responsibilities Design and develop data-driven models and algorithms to identify emerging attacker behavior, anomalies, and threat patterns at scale Build and operationalize statistical/ML systems that power early-stage detection, disruption scoring, and alert prioritization within DEX workflows Analyze high-dimensional security telemetry (e.g., token usage, entity relationships, campaign data) to derive signal enrichment and protection insights Collaborate closely with security researchers, threat hunters, and engineers to translate hypotheses into deployable detection logic Lead data investigations on false positives, missed threats, or campaign-level attack patterns to inform detection strategy and service improvement Contribute to the design of entity-based graph pipelines and verdict propagation mechanisms for pre-breach signal interpretation Drive experimentation and model explainability to ensure robustness, interpretability, and operational relevance of developed systems Communicate technical findings to cross-functional stakeholders and influence product and detection roadmap decisions Author internal whitepapers, prototypes, or publications to push the boundaries of applied data science in security Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Gurugram, Haryana Work Type: Full Time ABOUT US: Paxcom a leading Digital Solution Provider is a part of Paymentus now, a leading electronic bill payment provider. PaymentUs leads the North American marketplace in electronic bill payment solutions and have recently signed a partnership with Paypal and Alexa. Recognized by Deloitte as one of the fastest growing companies in North America, Paymentus is the premier provider of innovative, reliable, and secure electronic bill presentment and payment services for more than 1300 clients leading the Utility, Telecom, Auto Finance, Insurance, Consumer Finance, and Health industries. Our comprehensive eBilling and Payment Platform allows our clients to provide a unified customer bill-pay experience that includes online, mobile, IVR, text, kiosk, and agent-assisted channels, as well as a full range of customer communication options. For more details, please visit www.paymentus.com Job Location: Gurugram Job Type: Permanent Interview process: Coding challenge >> Round 1 (Technical Webcam>> Managerial webcam round (Tech + Managerial) Join our team as an AI/ML Specialist and contribute to the delivery of cutting-edge capabilities by leveraging the latest technologies. In this role, you will collaborate closely with stakeholders and technical team members to drive impactful solutions. Requirements: Minimum of 4 years of relevant experience in Data Science, Machine Learning, and AI techniques, with a strong background in open source technologies. Exposure to Gen AI models such as Falcon, Llama 2, GPT 3.5 & 4, and Prompt Engineering. Experience in creating basic RAG pipelines. Familiarity with cloud services such as AWS (EC2, S3, ECR). Expertise in at least one of the following areas: Time Series Analysis, Standard Machine Learning Algorithms, or Deep Learning. Experience with statistical analysis, data mining, temporal and pattern analysis, correlation of events, predictive modeling, and pattern recognition for various use cases. Area of expertise: In-depth knowledge and hands-on experience with at least one object detection framework including TFOD, Detectron, and YOLO, operating within a large-scale distributed platform. Or, Solid understanding of Deep Learning fundamentals (CNN, RNN, attention/memory) and extensions (Transformer, LSTM, ResNet, etc.). Or, Knowledge of state-of-the-art ML algorithms such as BERT, ELMo, GPT, GPT-2, XLNET, T5, LSTMs, CRFs, etc., APIs, ONNX, and open-source methods. Strong experience with data science tools including Python scripting, CUDA, numpy, scipy, matplotlib, scikit-learn, bash scripting, and Linux environment. on-making and the ability to justify actions effectively. Why Join Us? Empowerment to focus on pivotal tasks. Embrace a flexible and laid-back work atmosphere. Prioritize work-life balance. Appreciate collaborating with a goal-driven team. Interact with an approachable, supportive, and accomplished management team. Competitive compensation package. Engage with cutting-edge technologies as they emerge in the market. Witness the direct impact of your code on the lives of millions of customer.

Chicmic Studios Job Role: Data Scientist Experience Required: 3+ Years Skills Required: Data Science, Python, Pandas, Matplotlibs Job Description: We are seeking a Data Scientist with strong expertise in data analysis, machine learning, and visualization. The ideal candidate should be proficient in Python, Pandas, and Matplotlib, with experience in building and optimizing data-driven models. Some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models would be a plus. Roles & Duties: Analyze and process large datasets using Python and Pandas. Develop and optimize machine learning models for predictive analytics. Create data visualizations using Matplotlib and Seaborn to support decision-making. Perform data cleaning, feature engineering, and statistical analysis. Work with structured and unstructured data to extract meaningful insights. Implement and fine-tune NER models for specific use cases (if required). Collaborate with cross-functional teams to drive data-driven solutions Required Skills & Qualifications: Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, etc.). Experience in data analysis, statistical modeling, and machine learning. Hands-on expertise in data visualization using Matplotlib and Seaborn. Understanding of SQL and database querying. Familiarity with NLP techniques and NER models is a plus. Strong problem-solving and analytical skills. Contact: 9875952836 Office Address: F273, Phase 8B industrial Area, Mohali, Punjab. Job Type: Full-time Schedule: Day shift Monday to Friday Work Location: In person

Red & White Education Pvt Ltd , founded in 2008, is Gujarat's leading educational institute. Accredited by NSDC and ISO, we focus on Integrity, Student-Centricity, Innovation, and Unity. Our goal is to equip students with industry-relevant skills and ensure they are employable globally. Join us for a successful career path. Job Description: Faculties guide students, deliver course materials, conduct lectures, assess performance, and provide mentorship. Strong communication skills and a commitment to supporting students are essential. Key Responsibilities: Deliver high-quality lectures on AI, Machine Learning, and Data Science . Design and update course materials, assignments, and projects. Guide students on hands-on projects, real-world applications, and research work. Provide mentorship and support for student learning and career development. Stay updated with the latest trends and advancements in AI/ML and Data Science. Conduct assessments, evaluate student progress, and provide feedback. Participate in curriculum development and improvements. Skills & Tools: Core Skills: ML, Deep Learning, NLP, Computer Vision, Business Intelligence, AI Model Development, Business Analysis. Programming: Python, SQL (Must), Pandas, NumPy, Excel. ML & AI Tools: Scikit-learn (Must), XGBoost, LightGBM, TensorFlow, PyTorch (Must), Keras, Hugging Face. Data Visualization: Tableau, Power BI (Must), Matplotlib, Seaborn, Plotly. NLP & CV: Transformers, BERT, GPT, OpenCV, YOLO, Detectron2. Advanced AI: Transfer Learning, Generative AI, Business Case Studies. Education & Experience Requirements: Bachelor's/Master’s/Ph.D. in Computer Science, AI, Data Science, or a related field. Minimum 1+ years of teaching or industry experience in AI/ML and Data Science. Hands-on experience with Python, SQL, TensorFlow, PyTorch, and other AI/ML tools. Practical exposure to real-world AI applications, model deployment, and business analytics. Additional Skills: Confident body language and clear communication. Strong classroom management and discipline skills. Punctual, prepared, and passionate about teaching. Open to learning and professional development. Proficient in verbal and written communication. Strong problem-solving, leadership, and decision-making abilities. Positive attitude and ability to work independently. For further information, please feel free to contact 7862813693 us via email at career@rnwmultimedia.edu.in Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹35,000.00 per month Benefits: Cell phone reimbursement Flexible schedule Leave encashment Paid sick time Paid time off Schedule: Day shift Morning shift Supplemental Pay: Performance bonus Yearly bonus Application Question(s): Current Salary? Experience: Teaching / Mentoring: 1 year (Required) AI: 1 year (Required) ML: 1 year (Required) Data science: 1 year (Required) Location: Ahmedabad, Gujarat (Required) Work Location: In person

Job Title: Data Scientist – Financial Analytics Location: Onsite – Okhla Vihar, New Delhi Experience: 2-3 Years About the Role: We are seeking a passionate and results-driven Data Scientist to join our analytics team at our Okhla Vihar office. This role is ideal for someone with 2–3 years of hands-on experience in applying data science techniques to financial datasets, with a strong foundation in Python, SQL, and time series forecasting. You will play a key role in analyzing complex financial data, building predictive models, and delivering actionable insights to support critical business decisions. Key Responsibilities: Analyze large volumes of structured and unstructured financial data to extract meaningful insights. Build and evaluate predictive models using machine learning techniques (e.g., Scikit learn). Perform time series analysis and forecasting for financial indicators (e.g., market trends, portfolio performance, cash flows). Design and implement robust feature engineering pipelines to improve model accuracy. Develop risk modeling frameworks to assess financial risk (e.g., credit risk, market risk). Write complex and optimized SQL queries for data extraction and transformation. Leverage Python libraries like Pandas, NumPy, and SciPy for data preprocessing and manipulation. Create clear and insightful data visualizations using Matplotlib, Seaborn, or Plotly to communicate findings. Work closely with finance and strategy teams to translate business needs into data-driven solutions. Monitor and fine-tune models in production to ensure continued relevance and accuracy. Document models, assumptions, and methodologies for auditability and reproducibility. Required Skills & Experience: 2–3 years of experience as a Data Scientist, preferably in a financial services or fintech environment. Proficient in Python (Pandas, Scikit-learn, NumPy, SciPy, etc.). Strong experience in SQL for querying large datasets. Deep understanding of time series modeling (ARIMA, SARIMA, Prophet, etc.). Experience with feature selection, feature transformation, and data imputation techniques. Solid understanding of financial concepts such as ROI, risk/return, volatility, portfolio analysis, and pricing models. Exposure to risk modeling (credit scoring, stress testing, scenario analysis). Strong analytical and problem-solving skills with attention to detail. Experience with data visualization tools – Matplotlib, Seaborn, or Plotly. Ability to interpret model outputs and convey findings to both technical and non technical stakeholders. Excellent communication and collaboration skills. Preferred Qualifications: Bachelor’s or Master’s degree in Data Science, Statistics, Finance, Economics, Computer Science, or a related field. Experience working with financial time series datasets (e.g., stock prices, balance sheets, trading data). Understanding of regulatory frameworks and compliance in financial analytics. Familiarity with cloud platforms (AWS, GCP) is a plus. Experience working in agile teams. What We Offer: Competitive salary and performance incentives Onsite role at a modern office located in Okhla Vihar, New Delhi A collaborative and high-growth work environment Opportunities to work on real-world financial data challenges Exposure to cross-functional teams in finance, technology, and business strategy How to Apply: If you’re excited to work at the intersection of data science and finance, and want to be part of a dynamic team solving real-world financial challenges, we’d love to hear from you. Please send your resume, portfolio (if applicable), and a brief note about why you're a great fit to [your email/HR contact here]. Job Type: Full-time Pay: ₹600,000.00 - ₹1,200,000.00 per year Schedule: Morning shift Work Location: In person

Hi Please find the below JD for Facilitator – Data Science role with Regensys. Work Days : Mon – Sat Work Location : Work From Home www.digitalregenesys.com Job Description for Data Science facilitator Position Overview: We are searching for a highly skilled and proficient Data Science Facilitator for online upskilling courses in the field of data science. The facilitator will play a pivotal role in delivering comprehensive modules on cutting-edge data science topics, including machine learning, artificial intelligence, deep learning, web development, and more. The ideal candidate should possess a strong grasp of data science principles, technologies, and practical applications, coupled with exceptional communication and instructional abilities. Staying updated with the latest advancements in data science and effectively communicating these concepts to course participants is a fundamental aspect of this role. Responsibilities: Curriculum Development and Delivery: Develop and present engaging training modules that cover advanced data science topics, catering to learners' varying levels of proficiency. Deliver insightful content on subjects such as machine learning algorithms, artificial intelligence frameworks, deep learning architectures, and web development techniques. Technical skills: Programming Language: Python AI & Data analysis Packages/Framework: Numpy, Pandas, Seaborn, Sklearn, TensorFlow & Keras Knowledge of Natural Language Processing /Computer Vision will add an advantage. Customization of Learning Material: Tailor existing course materials or create new content to align with the specific learning requirements and skill levels of diverse participants, spanning from novice learners to experienced data science professionals. Stay Abreast of Industry Trends: Continuously research and monitor the dynamic landscape of data science, including emerging technologies, methodologies, and industry best practices, to ensure that training content remains relevant and up to date. Individualized Mentorship: Provide personalized guidance and support to participants, addressing their inquiries and assisting them in overcoming challenges encountered while mastering data science methodologies. Qualification 1. M Sc (Computer Science) or 2. MCA (Master in Computer Application) or 3. B Tech or M Tech in Computer Engineering or IT Technical Skills 1. Programming Language: Python 2. Database: MySQL/Oracle/SQL Server/PostgreSQL SQL (any one) 3. Data Science: Numpy, Pandas, Matplotlib, Seaborn, EDA 4. Machine Learning: Sklearn, ML models for regression, classification, and clustering problems 5. Additional knowledge of the following will be an advantage: Tableau/Power BI Work Experience[1] Minimum 5 years of teaching experience in relevant domain, however it can be lowered to 3 years for an exceptional candidate. Proven expertise and hands-on experience in data science, particularly in advanced areas like machine learning, artificial intelligence, deep learning, and web development. Exceptional presentation and facilitation skills, with the ability to engage and inspire learners in an online environment. Outstanding verbal and written communication skills, enabling the clear and concise explanation of intricate concepts to diverse audiences. In-depth comprehension of data science principles, tools, techniques, and industry standards. Capability to adapt instructional content based on participants' varying levels of familiarity with data science. Experience in online teaching, curriculum design, and the application of interactive learning tools will be advantageous. Relevant certifications (e.g., Certified Data Scientist, Google TensorFlow Developer, AWS Machine Learning Specialty) would be a plus. Effective problem-solving skills and the ability to address participants' inquiries and obstacles in a constructive manner. High level of professionalism, commitment to maintaining confidentiality, and adherence to ethical standards. Autonomous and collaborative work ethic, proficiently managing time and tasks. Keenness to continually enhance personal knowledge and skills within the evolving realm of data science. Please share your cv on riyap@dananda.net Show more Show less

Role Expectations: Data Collection and Cleaning: Collect, organize, and clean large datasets from various sources (internal databases, external APIs, spreadsheets, etc.). Ensure data accuracy, completeness, and consistency by cleaning and transforming raw data into usable formats. Data Analysis: Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies. Conduct statistical analysis to support decision-making and uncover insights. Use analytical methods to identify opportunities for process improvements, cost reductions, and efficiency enhancements. Reporting and Visualization: Create and maintain clear, actionable, and accurate reports and dashboards for both technical and non-technical stakeholders. Design data visualizations (charts, graphs, and tables) that communicate findings effectively to decision-makers. Worked on PowerBI , Tableau and Pythoin Libraries for Data visualization like matplotlib , seaborn , plotly , Pyplot , pandas etc Experience in generating the Descriptive , Predictive & prescriptive Insights with Gen AI using MS Copilot in PowerBI. Experience in Prompt Engineering & RAG Architectures Prepare reports for upper management and other departments, presenting key findings and recommendations. Collaboration: Work closely with cross-functional teams (marketing, finance, operations, etc.) to understand their data needs and provide actionable insights. Collaborate with IT and database administrators to ensure data is accessible and well-structured. Provide support and guidance to other teams regarding data-related questions or issues. Data Integrity and Security: Ensure compliance with data privacy and security policies and practices. Maintain data integrity and assist with implementing best practices for data storage and access. Continuous Improvement: Stay current with emerging data analysis techniques, tools, and industry trends. Recommend improvements to data collection, processing, and analysis procedures to enhance operational efficiency. Qualifications: Education: Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field. A Master's degree or relevant certifications (e.g., in data analysis, business intelligence) is a plus. Experience: Proven experience as a Data Analyst or in a similar analytical role (typically 7+ years). Experience with data visualization tools (e.g., Tableau, Power BI, Looker). Strong knowledge of SQL and experience with relational databases. Familiarity with data manipulation and analysis tools (e.g., Python, R, Excel, SPSS). Worked on PowerBI , Tableau and Pythoin Libraries for Data visualization like matplotlib , seaborn , plotly , Pyplot , pandas etc Experience with big data technologies (e.g., Hadoop, Spark) is a plus. Technical Skills: Proficiency in SQL and data query languages. Knowledge of statistical analysis and methodologies. Experience with data visualization and reporting tools. Knowledge of data cleaning and transformation techniques. Familiarity with machine learning and AI concepts is an advantage (for more advanced roles). Soft Skills: Strong analytical and problem-solving abilities. Excellent attention to detail and ability to identify trends in complex data sets. Good communication skills to present data insights clearly to both technical and non-technical audiences. Ability to work independently and as part of a team. Strong time management and organizational skills, with the ability to prioritize tasks effectively. Show more Show less

Position: Data Analyst Intern (Full-Time) Company: Lead India Location: Remote Stipend: ₹25,000/month Duration: 1–3 months (Full-Time Internship) About Lead India: Lead India is a forward-thinking technology company that helps businesses make smarter decisions through data. We provide meaningful internship opportunities for emerging professionals to gain real-world experience in data analysis, reporting, and decision-making. Role Overview: We are seeking a Data Analyst Intern to support our data and product teams in gathering, analyzing, and visualizing business data. This internship is ideal for individuals who enjoy working with numbers, identifying trends, and turning data into actionable insights. Key Responsibilities: Analyze large datasets to uncover patterns, trends, and insights Create dashboards and reports using tools like Excel, Power BI, or Tableau Write and optimize SQL queries for data extraction and analysis Assist in data cleaning, preprocessing, and validation Collaborate with cross-functional teams to support data-driven decisions Document findings and present insights to stakeholders Skills We're Looking For: Strong analytical and problem-solving skills Basic knowledge of SQL and data visualization tools (Power BI, Tableau, or Excel) Familiarity with Python for data analysis (pandas, matplotlib) is a plus Good communication and presentation skills Detail-oriented with a willingness to learn and grow What You’ll Gain: ₹25,000/month stipend Real-world experience in data analysis and reporting Mentorship from experienced analysts and developers Remote-first, collaborative work environment Potential for a Pre-Placement Offer (PPO) based on performance Show more Show less

Job Title: Data Analyst Trainee Location: Remote Job Type: Internship (Full-Time) Duration: 1–3 Months Stipend: ₹25,000/month Department: Data & Analytics Job Summary: We are seeking a motivated and analytical Data Analyst Trainee to join our remote analytics team. This internship is perfect for individuals eager to apply their data skills in real-world projects, generate insights, and support business decision-making through analysis, reporting, and visualization. Key Responsibilities: Collect, clean, and analyze large datasets from various sources Perform exploratory data analysis (EDA) and generate actionable insights Build interactive dashboards and reports using Excel, Power BI, or Tableau Write and optimize SQL queries for data extraction and manipulation Collaborate with cross-functional teams to understand data needs Document analytical methodologies, insights, and recommendations Qualifications: Bachelor’s degree (or final-year student) in Data Science, Statistics, Computer Science, Mathematics, or a related field Proficiency in Excel and SQL Working knowledge of Python (Pandas, NumPy, Matplotlib) or R Understanding of basic statistics and analytical methods Strong attention to detail and problem-solving ability Ability to work independently and communicate effectively in a remote setting Preferred Skills (Nice to Have): Experience with BI tools like Power BI, Tableau, or Google Data Studio Familiarity with cloud data platforms (e.g., BigQuery, AWS Redshift) Knowledge of data storytelling and KPI measurement Previous academic or personal projects in analytics What We Offer: Monthly stipend of ₹25,000 Fully remote internship Mentorship from experienced data analysts and domain experts Hands-on experience with real business data and live projects Certificate of Completion Opportunity for a full-time role based on performance Show more Show less

Company Description CoachX.Live is the ultimate online learning platform providing transformative educational experiences through live learning sessions. We offer comprehensive certificate courses in diverse subjects, from advanced technologies to business essentials. Our experienced mentors ensure you gain the right knowledge to excel, with additional benefits such as LMS access for two years, doubt-solving support, resume and LinkedIn profile guidance, and placement assistance. Join CoachX.Live and unlock your potential with confidence. About the Role: We are looking for a passionate and experienced Data Science Trainer to join our team full-time. In this role, you will be responsible for delivering high-quality training sessions in data science, machine learning, and AI to students or working professionals in an offline mode. Your goal is to equip learners with the skills and knowledge to thrive in data-driven roles. Key Responsibilities: Deliver live and offline classroom based - instructor-led training sessions on topics such as Excel, Power BI, Python, SQL, Data Analysis, Machine Learning, Deep Learning, NLP, and AI. Create engaging training materials, assignments, quizzes, and capstone projects. Mentor learners through 1-on-1 or 1-to- many doubt-solving sessions and project guidance. Stay up to date with the latest trends and technologies in data science and incorporate them into the curriculum. Assess learner performance, assignments, conduct mock interviews and provide feedback for improvement. Contribute to curriculum design and development based on industry needs. Qualifications: Bachelor’s or master’s degree in computer science, Statistics, Mathematics, or a related field. 3+ years of hands-on experience in data science, analytics, or a related domain. Prior experience in teaching/training (online or classroom) is needed. Proficiency in Excel, SQL, Power BI, Tableau, Python, Pandas, NumPy, scikit-learn, Matplotlib, Seaborn, SQL, and ML concepts. Strong communication and presentation skills. Experience working on industry projects or consulting in data science is a plus. Ability to explain complex concepts in a simple and relatable manner. Show more Show less

You will lead the development of predictive machine learning models for Revenue Cycle Management analytics, along the lines of: 1 Payer Propensity Modeling - predicting payer behavior and reimbursement likelihood 2 Claim Denials Prediction - identifying high-risk claims before submission 3 Payment Amount Prediction - forecasting expected reimbursement amounts 4 Cash Flow Forecasting - predicting revenue timing and patterns 5 Patient-Related Models - enhancing patient financial experience and outcomes 6 Claim Processing Time Prediction - optimizing workflow and resource allocation Additionally, we will work on emerging areas and integration opportunities—for example, denial prediction + appeal success probability or prior authorization prediction + approval likelihood models. You will reimagine how providers, patients, and payors interact within the healthcare ecosystem through intelligent automation and predictive insights, ensuring that providers can focus on delivering the highest quality patient care. VHT Technical Environment 1 Cloud Platform: AWS (SageMaker, S3, Redshift, EC2) 2 Development Tools: Jupyter Notebooks, Git, Docker 3 Programming: Python, SQL, R (optional) 4 ML/AI Stack: Scikit-learn, TensorFlow/PyTorch, MLflow, Airflow 5 Data Processing: Spark, Pandas, NumPy 6 Visualization: Matplotlib, Seaborn, Plotly, Tableau Show more Show less

We are looking for a highly skilled and motivated Data Scientist with deep experience in building recommendation systems to join our team. This role demands expertise in deep learning, embedding-based retrieval, and the Google Cloud Platform (GCP). You will play a critical role in developing intelligent systems that enhance user experiences through personalized content discovery. Key Responsibilities: Develop, train, and deploy recommendation models using two-tower, multi-tower, and cross-encoder architectures . Generate and utilize text/image embeddings (e.g., CLIP , BERT , Sentence Transformers ) for content-based recommendations. Design semantic similarity search pipelines using vector databases (FAISS, ScaNN, Qdrant, Matching Engine). Create and manage scalable ML pipelines using Vertex AI , Kubeflow Pipelines , and GKE . Handle large-scale data preparation and feature engineering using Dataproc (PySpark) and Dataflow . Implement cold-start strategies leveraging metadata and multimodal embeddings. Work on user modeling , temporal personalization , and re-ranking strategies . Run A/B tests and interpret results to measure real-world impact. Collaborate with cross-functional teams (Engineering, Product, DevOps) for model deployment and monitoring. Must-Have Skills: Strong command of Python and ML libraries: pandas, polars, numpy, scikit-learn, matplotlib, tensorflow, torch, transformers. Deep understanding of modern recommender systems and embedding-based retrieval . Experience with TensorFlow , Keras , or PyTorch for building deep learning models. Hands-on with semantic search , ANN search , and real-time vector matching . Proven experience with Vertex AI , Kubeflow on GKE , and ML pipeline orchestration. Familiarity with vector DBs such as Qdrant , FAISS , ScaNN , or Matching Engine on GCP. Experience in deploying models via Vertex AI Online Prediction , TF Serving , or Cloud Run . Knowledge of feature stores , embedding versioning , and MLOps practices (CI/CD, monitoring). Preferred / Good to Have: Experience with ranking models (e.g., XGBoost , LightGBM , DLRM ) for candidate scoring. Exposure to LLM-powered personalization or hybrid retrieval systems. Familiarity with streaming pipelines using Pub/Sub , Dataflow , Cloud Functions . Hands-on with multi-modal retrieval (text + image + tabular data). Strong grasp of cold-start problem solving , using enriched metadata and embeddings. GCP Stack You’ll Work With: ML & Pipelines: Vertex AI, Vertex Pipelines, Kubeflow on GKE Embedding & Retrieval: Matching Engine, Qdrant, FAISS, ScaNN, Milvus Processing: Dataproc (PySpark), Dataflow Ingestion & Serving: Pub/Sub, Cloud Functions, Cloud Run, TF Serving CI/CD & Automation: GitHub Actions, GitLab CI, Terraform Show more Show less

We are seeking a data scientist with strong technical expertise in machine learning and statistical analysis to develop and deploy impactful data solutions. The role involves designing and implementing predictive models (e.g., regression, classification, NLP, time series), collaborating with stakeholders to solve business problems, and driving strategic decisions through experimentation and data-driven insights Job Description: Key responsibilities: Modeling & Machine Learning Design and implement robust machine learning solutions (e.g., regression, classification, NLP, time series, recommendation systems). Evaluate and tune models using appropriate metrics (AUC, RMSE, precision/recall, etc.). Work on feature engineering, model interpretability, and performance optimization. Data-Driven Business Strategy Partner with stakeholders to identify key opportunities where data science can drive business value. Translate business problems into data science projects with clearly defined deliverables and success metrics. Provide actionable recommendations based on data analysis and model outputs. Analytics and Experimentation Conduct deep-dive exploratory analysis to uncover trends and insights. Apply statistical methods to test hypotheses, forecast trends, and measure campaign effectiveness Design and analyze A/B tests and other experiments to support product and marketing decisions. Automate data pipelines and dashboards for ongoing monitoring of model and business performance. Technical Skills: Languages: Proficient in Python, MySQL. Libraries/Frameworks: scikit-learn, Pandas, NumPy, Time series, ARIMA, Bayesian model, Market Mix model, Regression, XGBoost, LightGBM, TensorFlow, PyTorch. Statistical Method: Proficient in statistical techniques such as hypothesis testing, regression analysis, time-series analysis Databases : PostgreSQL, BigQuery, MySQL. Visualization: Plotly, Seaborn, Matplotlib. Deployment: Experience in Gitlab, CI/CD pipelines(Good to have). Cloud Platforms: Familiarity with AWS, GCP, or Azure services(Good to have). Location: Chennai Brand: Paragon Time Type: Full time Contract Type: Permanent Show more Show less

Red & White Education Pvt Ltd , founded in 2008, is Gujarat's leading educational institute. Accredited by NSDC and ISO, we focus on Integrity, Student-Centricity, Innovation, and Unity. Our goal is to equip students with industry-relevant skills and ensure they are employable globally. Join us for a successful career path. Job Description: Faculties guide students, deliver course materials, conduct lectures, assess performance, and provide mentorship. Strong communication skills and a commitment to supporting students are essential. Key Responsibilities: Deliver high-quality lectures on AI, Machine Learning, and Data Science . Design and update course materials, assignments, and projects. Guide students on hands-on projects, real-world applications, and research work. Provide mentorship and support for student learning and career development. Stay updated with the latest trends and advancements in AI/ML and Data Science. Conduct assessments, evaluate student progress, and provide feedback. Participate in curriculum development and improvements. Skills & Tools: Core Skills: ML, Deep Learning, NLP, Computer Vision, Business Intelligence, AI Model Development, Business Analysis. Programming: Python, SQL (Must), Pandas, NumPy, Excel. ML & AI Tools: Scikit-learn (Must), XGBoost, LightGBM, TensorFlow, PyTorch (Must), Keras, Hugging Face. Data Visualization: Tableau, Power BI (Must), Matplotlib, Seaborn, Plotly. NLP & CV: Transformers, BERT, GPT, OpenCV, YOLO, Detectron2. Advanced AI: Transfer Learning, Generative AI, Business Case Studies. Education & Experience Requirements: Bachelor's/Master’s/Ph.D. in Computer Science, AI, Data Science, or a related field. Minimum 1+ years of teaching or industry experience in AI/ML and Data Science. Hands-on experience with Python, SQL, TensorFlow, PyTorch, and other AI/ML tools. Practical exposure to real-world AI applications, model deployment, and business analytics. Additional Skills: Confident body language and clear communication. Strong classroom management and discipline skills. Punctual, prepared, and passionate about teaching. Open to learning and professional development. Proficient in verbal and written communication. Strong problem-solving, leadership, and decision-making abilities. Positive attitude and ability to work independently. For further information, please feel free to contact 7862813693 us via email at career@rnwmultimedia.edu.in Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹35,000.00 per month Benefits: Cell phone reimbursement Flexible schedule Leave encashment Paid sick time Paid time off Schedule: Day shift Morning shift Supplemental Pay: Performance bonus Yearly bonus Application Question(s): Current Salary? Experience: Teaching / Mentoring: 1 year (Required) AI: 1 year (Required) ML: 1 year (Required) Data science: 1 year (Required) Location: Ahmedabad, Gujarat (Required) Work Location: In person

Chicmic Studios Job Role: Data Scientist Experience Required: 3+ Years Skills Required: Data Science, Python, Pandas, Matplotlibs Job Description: We are seeking a Data Scientist with strong expertise in data analysis, machine learning, and visualization. The ideal candidate should be proficient in Python, Pandas, and Matplotlib, with experience in building and optimizing data-driven models. Some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models would be a plus. Roles & Duties: Analyze and process large datasets using Python and Pandas. Develop and optimize machine learning models for predictive analytics. Create data visualizations using Matplotlib and Seaborn to support decision-making. Perform data cleaning, feature engineering, and statistical analysis. Work with structured and unstructured data to extract meaningful insights. Implement and fine-tune NER models for specific use cases (if required). Collaborate with cross-functional teams to drive data-driven solutions Required Skills & Qualifications: Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, etc.). Experience in data analysis, statistical modeling, and machine learning. Hands-on expertise in data visualization using Matplotlib and Seaborn. Understanding of SQL and database querying. Familiarity with NLP techniques and NER models is a plus. Strong problem-solving and analytical skills. Contact: 9875952836 Office Address: F273, Phase 8B industrial Area, Mohali, Punjab. Job Type: Full-time Schedule: Day shift Monday to Friday Work Location: In person

What's the role? We are seeking a highly skilled and motivated Senior GIS Data Analyst/Engineer to join our innovative team in India. This role will leverage advanced expertise in GIS, data science, and programming to extract actionable insights from geospatial data, driving impactful business outcomes through cutting-edge visualization and analytical tools. Responsibilities Data Analysis and Management Conduct advanced spatial data analysis using GIS software (ArcGIS, QGIS) to derive meaningful insights. Manage, manipulate, and analyze large geospatial datasets to produce high-quality maps and actionable reports. Ensure data accuracy and integrity through rigorous quality control measures and regular audits. Programming and Automation Develop and implement Python scripts for data processing, analysis, and automation, with proficiency in SQL for querying and managing databases. Apply machine learning and AI techniques, including Generative AI, to enhance data accuracy and predictive capabilities in GIS applications. Visualization and Reporting Create compelling visualizations and interactive dashboards using Tableau, PowerBI, Matplotlib, and Seaborn to communicate complex spatial insights effectively. Leverage advanced Excel for data manipulation and reporting. Develop and maintain high-quality maps to support stakeholder presentations and decision-making. Process Efficiency and Development Design and implement efficient data analysis workflows to optimize processing and analysis tasks. Translate process efficiency concepts into development strategies, achieving significant time and effort savings. Continuously evaluate and enhance workflows to improve performance and scalability. Tool and Application Development Develop custom GIS tools and applications to address diverse business requirements. Utilize FME (Feature Manipulation Engine) for advanced data transformation and integration tasks (knowledge preferred). Look into scalable data storage, processing, and analytics. Collaboration and Support Collaborate with cross-functional teams to translate data insights into strategic business solutions. Provide technical support and training to team members on GIS tools, visualization platforms, and data analysis methodologies. Contribute to team and company objectives aligned with Business goals. Continuous Learning Stay updated on the latest advancements in GIS, data science, machine learning, Generative AI, and visualization technologies. Who are you? Bachelor’s or master’s degree in Geography, GIS, Data Science, Computer Science, or a related field. Minimum 5+ years of experience in a GIS or data analysis role. Advanced proficiency in ArcGIS and QGIS software. Strong programming skills in Python and proficiency in SQL. Proven expertise in data visualization and reporting using Tableau, PowerBI, Matplotlib, Seaborn, and advanced Excel. Hands-on experience with AWS services for data management and analytics. Familiarity with machine learning, AI, and Generative AI applications in GIS environments. Knowledge of FME (Feature Manipulation Engine) is an advantage. Exceptional analytical, problem-solving, and decision-making skills. Excellent communication, collaboration, and teamwork abilities. Ability to work independently, prioritize tasks, and manage multiple projects in a fast-paced environment. Job location: Gurgaon HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics. Who are we? HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel. Show more Show less

Gurugram, Haryana Work Type: Full Time ABOUT US: Paxcom a leading Digital Solution Provider is a part of Paymentus now, a leading electronic bill payment provider. PaymentUs leads the North American marketplace in electronic bill payment solutions and have recently signed a partnership with Paypal and Alexa. Recognized by Deloitte as one of the fastest growing companies in North America, Paymentus is the premier provider of innovative, reliable, and secure electronic bill presentment and payment services for more than 1300 clients leading the Utility, Telecom, Auto Finance, Insurance, Consumer Finance, and Health industries. Our comprehensive eBilling and Payment Platform allows our clients to provide a unified customer bill-pay experience that includes online, mobile, IVR, text, kiosk, and agent-assisted channels, as well as a full range of customer communication options. For more details, please visit www.paymentus.com Job Location: Gurugram Job Type: Permanent Interview process: Coding challenge >> Round 1 (Technical Webcam>> Managerial webcam round (Tech + Managerial) Join our team as an AI/ML Specialist and contribute to the delivery of cutting-edge capabilities by leveraging the latest technologies. In this role, you will collaborate closely with stakeholders and technical team members to drive impactful solutions. Requirements: Minimum of 4 years of relevant experience in Data Science, Machine Learning, and AI techniques, with a strong background in open source technologies. Exposure to Gen AI models such as Falcon, Llama 2, GPT 3.5 & 4, and Prompt Engineering. Experience in creating basic RAG pipelines. Familiarity with cloud services such as AWS (EC2, S3, ECR). Expertise in at least one of the following areas: Time Series Analysis, Standard Machine Learning Algorithms, or Deep Learning. Experience with statistical analysis, data mining, temporal and pattern analysis, correlation of events, predictive modeling, and pattern recognition for various use cases. Area of expertise: In-depth knowledge and hands-on experience with at least one object detection framework including TFOD, Detectron, and YOLO, operating within a large-scale distributed platform. Or, Solid understanding of Deep Learning fundamentals (CNN, RNN, attention/memory) and extensions (Transformer, LSTM, ResNet, etc.). Or, Knowledge of state-of-the-art ML algorithms such as BERT, ELMo, GPT, GPT-2, XLNET, T5, LSTMs, CRFs, etc., APIs, ONNX, and open-source methods. Strong experience with data science tools including Python scripting, CUDA, numpy, scipy, matplotlib, scikit-learn, bash scripting, and Linux environment. on-making and the ability to justify actions effectively. Why Join Us? Empowerment to focus on pivotal tasks. Embrace a flexible and laid-back work atmosphere. Prioritize work-life balance. Appreciate collaborating with a goal-driven team. Interact with an approachable, supportive, and accomplished management team. Competitive compensation package. Engage with cutting-edge technologies as they emerge in the market. Witness the direct impact of your code on the lives of millions of customer.

Senior Applied & Data scientist Hyderabad, Telangana, India Date posted Jun 16, 2025 Job number 1830452 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Data Science Employment type Full-Time Overview Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. The Defender Experts (DEX) Research team is at the forefront of Microsoft’s threat protection strategy, combining world-class hunting expertise with AI-driven analytics to protect customers from advanced cyberattacks. Our mission is to move protection left—disrupting threats early, before damage occurs—by transforming raw signals into intelligence that powers detection, disruption, and customer trust. We’re looking for a passionate and curious Data Scientist to join this high-impact team. In this role, you'll partner with researchers, hunters, and detection engineers to explore attacker behavior, operationalize entity graphs, and develop statistical and ML-driven models that enhance DEX’s detection efficacy. Your work will directly feed into real-time protections used by thousands of enterprises and shape the future of Microsoft Security. This is an opportunity to work on problems that matter—with cutting-edge data, a highly collaborative team, and the scale of Microsoft behind you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field 6+ years of experience applying data science or machine learning in a real-world setting, preferably in security, fraud, risk, or anomaly detection Proficiency in Python and/or R, with hands-on experience in data manipulation (e.g., Pandas, NumPy), modeling (e.g., scikit-learn, XGBoost), and visualization (e.g., matplotlib, seaborn) Strong foundation in statistics, probability, and applied machine learning techniques Experience working with large-scale datasets, telemetry, or graph-structured data Ability to clearly communicate technical insights and influence cross-disciplinary teams Demonstrated ability to work independently, take ownership of problems, and drive solutions end-to-end Responsibilities Design and develop data-driven models and algorithms to identify emerging attacker behavior, anomalies, and threat patterns at scale Build and operationalize statistical/ML systems that power early-stage detection, disruption scoring, and alert prioritization within DEX workflows Analyze high-dimensional security telemetry (e.g., token usage, entity relationships, campaign data) to derive signal enrichment and protection insights Collaborate closely with security researchers, threat hunters, and engineers to translate hypotheses into deployable detection logic Lead data investigations on false positives, missed threats, or campaign-level attack patterns to inform detection strategy and service improvement Contribute to the design of entity-based graph pipelines and verdict propagation mechanisms for pre-breach signal interpretation Drive experimentation and model explainability to ensure robustness, interpretability, and operational relevance of developed systems Communicate technical findings to cross-functional stakeholders and influence product and detection roadmap decisions Author internal whitepapers, prototypes, or publications to push the boundaries of applied data science in security Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Job Information Date Opened 06/16/2025 Job Type Full time Industry Education Work Experience Fresher Salary ₹20,000 - ₹30,000 City Ahmedabad State/Province Gujarat Country India Zip/Postal Code 380060 About Us Fireblaze AI School is a part of Fireblaze Technologies which was started in April 2018 with a Vision to Up-Skill and Train in emerging technologies. Mission Statement “To Provide Measurable & Transformational Value To Learners Career” Vision Statement ““To Be The Most Successful & Respected Job-Oriented Training Provider Globally.” We Focus widely on creating a huge digital impact. Hence Our Strong Presence over Digital Platforms are a must have thing for use. Job Description Job Title : Data Analyst Location: Ahmedabad Employment Type: Full-Time (Night Shift) Salary: As per the interview Job Summary: We are looking for a detail-oriented and analytical Data Analyst who is proficient in Python, Machine Learning, SQL, Power BI, and Advanced Excel. The ideal candidate will be responsible for data wrangling, statistical modeling, visualization, and reporting to support data-driven decision-making. Key Responsibilities: Collect, process, and clean large datasets from multiple sources. Perform exploratory data analysis (EDA) to identify trends and patterns. Develop and deploy Machine Learning models for predictive and classification tasks. Write optimized SQL queries to extract and manipulate data. Create interactive dashboards and reports using Power BI. Utilize Advanced Excel functions (Pivot Tables, VLOOKUP, Macros, etc.) for data analysis and reporting. Present findings to stakeholders in a clear and concise manner. Collaborate with cross-functional teams to understand business requirements and translate them into data solutions. Requirements Required Skills & Qualifications: Proficiency in Python with libraries such as Pandas, NumPy, Matplotlib, Scikit-learn. Strong knowledge of Machine Learning algorithms (Regression, Classification, Clustering, etc.). Experience with SQL for data extraction, joins, and performance tuning. Hands-on experience in building dashboards and reports using Power BI. Advanced knowledge of MS Excel including formulas, data modeling, and automation. Good problem-solving and communication skills.

🤖 Job Opening: AI/ML Engineer – Fresher 📍 Location : Remote 🏢 Company : Appzime Technologies 💰 Salary : ₹25,000 – ₹30,000/month 🕒 Experience : 0–1 year (Fresher) 🧠 About the Role Are you passionate about Artificial Intelligence and Machine Learning? Do you dream in algorithms and live for model accuracy? At Appzime Technologies , we're inviting freshers to kickstart their career in AI/ML development and be a part of cutting-edge projects across multiple industries — from automation to predictive analytics. 🔬 Key Responsibilities Assist in developing and training ML models using Python and ML libraries (Scikit-learn, TensorFlow, PyTorch). Work on datasets — cleaning, preprocessing, feature extraction, and exploratory data analysis (EDA). Collaborate with data scientists and backend developers to integrate ML models into live systems. Contribute to AI-based automation, NLP tools, recommendation engines, and more. Stay updated with the latest in AI/ML research, tools, and best practices. ✅ Requirements B.Tech / BCA / MCA or equivalent in Computer Science, AI/ML, Data Science, or related field. Good understanding of ML algorithms (Linear Regression, Decision Trees, SVM, KNN, etc.). Hands-on experience in Python and libraries like NumPy , Pandas , Matplotlib , Scikit-learn . Familiar with deep learning concepts and frameworks (TensorFlow/Keras or PyTorch). Strong problem-solving attitude and a hunger to learn new tools. Bonus: Academic or personal ML projects, GitHub profile, or Kaggle participation. 🌟 Why Join Appzime? Opportunity to work on real-world AI/ML deployments from Day 1. Learn directly from experienced engineers and data scientists. Startup-style ownership, innovation, and fast learning curve. Expopsure to client work and cross-domain AI applications. Flexible work setup and access to premium AI tools & resources. 📧 Apply Now : careers@appzime.com Contact Person: https://www.linkedin.com/in/harshit2904/ Show more Show less

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: 17th 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! 🚀 Show more Show less

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 17th 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. Show more Show less

Job Title: Data Analyst Intern Company: NovaNectar Services Pvt. Ltd. Location: GMS Road Near By Kamla Palace Chowk Dehradun Job Type: Internship (3–6 Months) About NovaNectar Services Pvt. Ltd.: NovaNectar Services Pvt. Ltd. is a forward-thinking technology company delivering data-driven solutions and innovative digital services. We help businesses unlock insights from data to drive smarter decisions and optimize operations across industries. Internship Overview: We are looking for a detail-oriented and analytical Data Analyst Intern to join our data team. This internship provides an excellent opportunity to develop your skills in data collection, analysis, visualization, and reporting using real business data. Key Responsibilities: Collect, clean, and organize raw data from various sources. Assist in analyzing datasets to identify trends, patterns, and insights. Create visualizations, dashboards, and reports to communicate findings effectively. Support data validation and quality assurance processes. Collaborate with cross-functional teams to understand data needs and deliver actionable insights. Use statistical techniques and tools to interpret data and support decision-making. Stay updated on the latest data analysis tools and methodologies. Requirements: Currently pursuing or recently completed a degree/diploma in Statistics, Mathematics, Computer Science, Economics, Data Science, or a related field. Basic knowledge of data analysis tools such as Excel, SQL, Python, or R. Familiarity with data visualization tools like Tableau, Power BI, or matplotlib is a plus. Strong analytical, problem-solving, and critical thinking skills. Attention to detail and ability to work with large datasets. Good communication skills to explain technical information clearly. Eagerness to learn and work collaboratively in a team environment. What You'll Gain: Hands-on experience analyzing real business data and solving practical problems. Mentorship from experienced data analysts and data scientists. Exposure to industry-standard tools and best practices. Certificate of completion and letter of recommendation based on performance. Potential opportunity for full-time employment after internship. Job Type: Internship Contract length: 3 months Pay: ₹2,000.00 - ₹4,000.00 per month Job Types: Full-time, Permanent, Fresher, Internship Contract length: 3 months Pay: ₹2,000.00 - ₹4,000.00 per year Benefits: Paid sick time Work from home Schedule: Day shift Work Location: In person