1481 Matplotlib Jobs - Page 40

Requisition Number: 100603 AI/ML Technical Lead Location- Delhi NCR, Bangalore, Pune, Hyderabad Shifts- 2:00 PM IST – 11:00 PM IST Insight at a Glance 14,000+ engaged teammates globally with operations in 25 countries across the globe. Received 35+ industry and partner awards in the past year $9.2 billion in revenue #20 on Fortune’s World's Best Workplaces™ list #14 on Forbes World's Best Employers in IT – 2023 #23 on Forbes Best Employers for Women in IT- 2023 $1.4M+ total charitable contributions in 2023 by Insight globally Now is the time to bring your expertise to Insight. We are not just a tech company; we are a people-first company. We believe that by unlocking the power of people and technology, we can accelerate transformation and achieve extraordinary results. As a Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organizations through complex digital decisions About The Role As a AI ML Technical Lead with Insight , we are seeking a highly skilled AI/ML led engineer to join our team and contribute to lead, design, development, and deployment of artificial intelligence solutions. As a Team Lead, you will be responsible for overseeing the end-to-end lifecycle of AI/ML projects, mentoring engineers, and collaborating with cross-functional teams to drive innovation and business impact. The ideal candidate will have a strong background in machine learning, deep learning, NLP and computer vision and data science, with the ability to build and integrate AI models that solve complex business problems. About The Team Join us at the Data & AI Division, where we're not just another tech Division—we're the driving force behind empowering businesses to unlock the full potential of their data. Our mission is crystal clear: to harness the power of data through scalable solutions and repeatable processes, revolutionizing decision-making and problem-solving across industries. What We Do Dynamic Data Insights: Delve into the realm of data analytics and gain invaluable insights that fuel informed decision-making, empowering businesses to tackle challenges faster and more effectively. Cutting-Edge Platforms: Step into the forefront of innovation with our modern data platforms, cloud solutions, and infrastructure, laying the groundwork for unleashing untapped business potential and maximizing ROI. AI-Powered Advancements: Embrace the future with predictive analytics and AI-driven trend forecasting, equipping organizations to seize new opportunities and gain a competitive edge in today's fast-paced markets. Automation Revolution: Lead the charge in automation solutions, revolutionizing workflows and boosting productivity, enabling teams to concentrate on high-value tasks and propel business growth. Optimization Expertise: Harness our advanced analytics capabilities to optimize processes and elevate performance, ensuring steadfast operations and continual improvement. Comprehensive Business Intelligence: Provide comprehensive views of data through our business intelligence solutions, empowering organizations to address critical questions and navigate a path toward future success. Join our team and be part of a transformative journey where your contributions will shape the future of AI integration, driving real-world impact and propelling businesses toward success. Key Responsibilities Lead and mentor a team of AI/ML engineers, ensuring best practices in model development and deployment. Design, develop, and implement scalable machine learning models and AI-driven solutions. Collaborate with data scientists, software engineers, and product managers to integrate AI models into applications. Optimize and fine-tune machine learning models for performance, accuracy, and efficiency. Stay up-to-date with the latest advancements in AI/ML technologies and incorporate them into the team’s workflow. Conduct code reviews, provide technical guidance, and improve development processes. Manage project timelines, deliverables, and ensure alignment with business objectives. Work with cloud-based and on-premises AI/ML platforms to deploy and monitor models in production. Ensure compliance with ethical AI principles, data privacy regulations, and best security practices. Collaborate with DevOps teams to ensure seamless integration of AI models into existing systems and workflows. Document AI processes, model architectures, and development practices to ensure knowledge sharing and scalability. Provide technical leadership and mentorship to junior AI engineers and data scientists. Be Ambitious : This opportunity is not just about what you do today but also about where you can go tomorrow. As a AI ML Lead, you are positioned for swift advancement within our organization through a structured career path. When you bring your hunger, heart, and harmony to Insight, your potential will be met with continuous opportunities to upskill, earn promotions, and elevate your career. Required Skills And Qualifications Bachelor’s or master’s degree in computer science, Artificial Intelligence, Machine Learning, Data Science, or a related field. 8 to 12 years of experience in AI, machine learning, or data science roles, with a strong portfolio of successfully deployed AI solutions along with at least 2 years in leading the AI/ML team. Strong proficiency in Python, TensorFlow, Py-Torch, Py-Spark and other ML frameworks. Strong understanding of machine learning algorithms, deep learning architectures (e.g., CNNs, RNNs, GANs), NLP, Computer Vision, Generative AI and AI model development. Knowledge on MLOps practices and tools for model deployment, monitoring, and scaling. Experience with data preprocessing, feature engineering, and working with large datasets in cloud environments (e.g., AWS, Google Cloud, Azure). Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Power BI or Tableau) and experience in interpreting and communicating model results. Strong problem-solving skills, with the ability to translate business requirements into AI solutions. Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Experience with version control systems (e.g., Git) and Agile development practices. Other Skills Experience with reinforcement learning, and Agentic AI will add advantage. Knowledge of ethical AI practices and considerations in AI model development. Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) for AI model deployment. What You Can Expect We’re legendary for taking care of you, your family and to help you engage with your local community. We want you to enjoy a full, meaningful life and own your career at Insight. Some of our benefits include: Freedom to work from another location—even an international destination—for up to 30 consecutive calendar days per year. Medical Insurance Health Benefits Professional Development: Learning Platform and Certificate Reimbursement Shift Allowance But what really sets us apart are our core values of Hunger, Heart, and Harmony, which guide everything we do, from building relationships with teammates, partners, and clients to making a positive impact in our communities. Join us today, your ambitious journey starts here. Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. At Insight, we celebrate diversity of skills and experience so even if you don’t feel like your skills are a perfect match - we still want to hear from you! Today's talent leads to tomorrow's success. Learn more about Insight: https://www.linkedin.com/company/insight/ Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law. Insight India Location:Level 16, Tower B, Building No 14, Dlf Cyber City In It/Ites Sez, Sector 24 &25 A Gurugram Gurgaon Hr 122002 India Show more Show less

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology Your Role And Responsibilities As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In Your Role, You May Be Responsible For Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Preferred Education Master's Degree Required Technical And Professional Expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred Technical And Professional Experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Show more Show less

At Valtech, We’ve Got Opportunities To Offer You — For Growth, For Leadership, For Big, World-changing Impact And For, Dare We Say It, Fun. We Are a Global Workforce That Is Committed To Building a World That Works Better For Everyone. And That Starts With Our Kin. That’s Why We’re Proud Of The role Ideal candidates will have strong quantitative backgrounds and analytical discipline. While they will have some demonstrated ability to write code, they will not have learned programming languages for the sake of building their resume, but rather as a means to express their intellectual curiosity and analytical voice. Valtech will provide a platform and training to help them reach their full potential. Valtech is looking to hire a Business Intelligence Analyst / Data Engineer to join our growing capabilities team. If you are innovative, passionate about data and AI technologies, and look to continually learn and enjoy sharing expertise, read on! Role Responsibilities Analyze a collection of raw data sets to create meaningful impact to large enterprise clients while maintaining a high degree of scientific rigor and discipline. Engineer data pipelines and products to help stakeholders make and execute data driven decisions. Communicate analytical findings in an intuitive and visually compelling way. Creating highly visual and interactive dashboards via Tableau, PowerBI, or custom web applications Conducting deep dive analysis and designing KPIs to help guide business decisions and measure success Engineering data infrastructure, software libraries, and APIs supporting BI and ML data pipelines Architecting cloud data platform components enabling the above Building and tracking project timelines, dependences, and risks Gathering stakeholder requirements and conducting technical due diligence toward designing pragmatic data-driven business solutions Minimum Qualifications We want all new hires to succeed in their roles at Valtech. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Minimum Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply. Proven industry experience executing data engineering, analytics, and/or data science projects or Bachelors/Masters degree in quantitative studies including Engineering, Mathematics, Statistics, Computer Science or computation-intensive Sciences and Humanities. Proficiency (can execute data ingestion to insight) in programmatic languages such as SQL, Python, and R. Preferred Qualifications Proficiency in visualization/reporting tools such as Tableau and PowerBI or programmatic visualization library such as R ggplot2, Python matplotlib/seaborn/bokeh, Javascript D3. Proficiency in big data environments and tools such as Spark, Hive, Impala, Pig, etc. Proficiency with cloud architecture components (AWS, Azure, Google) Proficiency with data pipeline software such as Airflow, Luigi, or Prefect Ability to turn raw data and ambiguous business questions into distilled findings and recommendations for action Experience with statistical and machine learning libraries along with the ability to apply them appropriately to business problems Experience leading and managing technical data/analytics/machine learning projects What We Offer You’ll join an international network of data professionals within our organisation. We support continuous development through our dedicated Academy. If you're looking to push the boundaries of innovation and creativity in a culture that values freedom and responsibility, we encourage you to apply. At Valtech, we’re here to engineer experiences that work and reach every single person. To do this, we are proactive about creating workplaces that work for every person at Valtech. Our goal is to create an equitable workplace which gives people from all backgrounds the support they need to thrive, grow and meet their goals (whatever they may be). You can find out more about what we’re doing to create a Valtech for everyone here. Please do not worry if you do not meet all of the criteria or if you have some gaps in your CV. We’d love to hear from you and see if you’re our next member of the Valtech team! Show more Show less

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Title: Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics Purpose of the role We are looking for a highly skilled and motivated Data Scientist with 3+ of professional experience to join our dynamic team. The ideal candidate will excel in data analytics, working with complex datasets, and applying machine learning and deep learning techniques to solve real-world problems. If you are passionate about leveraging data to drive insights and innovation, this is the role for you. Key tasks & accountabilities Analyze and interpret complex datasets to uncover actionable insights. Design, develop, and implement machine learning and deep learning models using tools and frameworks such as Pandas, Scikit-learn, TensorFlow, Keras, PyTorch, etc. Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions. Create and maintain scalable data pipelines and workflows. Use statistical techniques to test hypotheses and validate models. Optimize machine learning algorithms for efficiency and scalability. Communicate insights and model performance to stakeholders via data visualization and presentations. Stay up-to-date with the latest advancements in data science, machine learning, and big data technologies. Qualifications, Experience, Skills Level Of Educational Attainment Required B. Tech in Computer Science, or Background in Statistics, Economics, Mathematics. Previous Work Experience & Skills Required Data Analytics: Proficiency in statistical analysis and deriving insights from data. Business Exposure: Experience in building optimization model, Marketing mix model. Machine Learning & Deep Learning Frameworks: Strong working knowledge of libraries like Pandas, Scikit-learn, TensorFlow, Keras, and PyTorch. Programming: Proficiency in Python and experience using GitHub for version control. Databases: Expertise in working with structured and unstructured data using databases. Cloud Platforms: Hands-on experience with Azure infrastructure for data storage, Azure DataBricks processing, and deployment. Data Visualization: Ability to create compelling visualizations using tools like Matplotlib, Seaborn, or Power BI. Complex Datasets: Exposure to working with large and intricate datasets in various domains. Version Control: Experience using GitHub for version control, collaboration, and managing repositories effectively And above all of this, an undying love for beer! We dream big to create future with more cheer Show more Show less

Position-Azure Data Engineer Location- Pune Mandatory Skills- Azure Databricks, pyspark Experience-5 to 9 Years Notice Period- 0 to 30 days/ Immediately Joiner/ Serving Notice period Must have Experience: Strong design and data solutioning skills PySpark hands-on experience with complex transformations and large dataset handling experience Good command and hands-on experience in Python. Experience working with following concepts, packages, and tools, Object oriented and functional programming NumPy, Pandas, Matplotlib, requests, pytest Jupyter, PyCharm and IDLE Conda and Virtual Environment Working experience must with Hive, HBase or similar Azure Skills Must have working experience in Azure Data Lake, Azure Data Factory, Azure Databricks, Azure SQL Databases Azure DevOps Azure AD Integration, Service Principal, Pass-thru login etc. Networking – vnet, private links, service connections, etc. Integrations – Event grid, Service Bus etc. Database skills Oracle, Postgres, SQL Server – any one database experience Oracle PL/SQL or T-SQL experience Data modelling Thank you Show more Show less

We are looking for an experienced faculty member to deliver our DATA SCIENCE with MACHINE LEARNING &AI course. This program equips learners with real-world skills in data handling, analytics,and AI technologies. Tools & Technologies Taught: Programming & Libraries: Python, NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, Keras Data Handling & Visualization: Tableau, Power BI, SQL, Django Other Tools (as applicable): Git/GitHub (version control), Excel (for basic data manipulation). Job Type: Full-time Pay: ₹8,086.00 - ₹12,000.00 per month Schedule: Day shift Work Location: In person

Data Science and AI Developer **Job Description:** We are seeking a highly skilled and motivated Data Science and AI Developer to join our dynamic team. As a Data Science and AI Developer, you will be responsible for leveraging cutting-edge technologies to develop innovative solutions that drive business insights and enhance decision-making processes. **Key Responsibilities:** 1. Develop and deploy machine learning models for predictive analytics, classification, clustering, and anomaly detection. 2. Design and implement algorithms for data mining, pattern recognition, and natural language processing. 3. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. 4. Utilize advanced statistical techniques to analyze complex datasets and extract actionable insights. 5. Implement scalable data pipelines for data ingestion, preprocessing, feature engineering, and model training. 6. Stay updated with the latest advancements in data science, machine learning, and artificial intelligence research. 7. Optimize model performance and scalability through experimentation and iteration. 8. Communicate findings and results to stakeholders through reports, presentations, and visualizations. 9. Ensure compliance with data privacy regulations and best practices in data handling and security. 10. Mentor junior team members and provide technical guidance and support. **Requirements:** 1. Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. 2. Proven experience in developing and deploying machine learning models in production environments. 3. Proficiency in programming languages such as Python, R, or Scala, with strong software engineering skills. 4. Hands-on experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, or Spark MLlib. 5. Solid understanding of data structures, algorithms, and computer science fundamentals. 6. Excellent problem-solving skills and the ability to think creatively to overcome challenges. 7. Strong communication and interpersonal skills, with the ability to work effectively in a collaborative team environment. 8. Certification in Data Science, Machine Learning, or Artificial Intelligence (e.g., Coursera, edX, Udacity, etc.). 9. Experience with cloud platforms such as AWS, Azure, or Google Cloud is a plus. 10. Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) is an advantage. Data Manipulation and Analysis : NumPy, Pandas Data Visualization : Matplotlib, Seaborn, Power BI Machine Learning Libraries : Scikit-learn, TensorFlow, Keras Statistical Analysis : SciPy Web Scrapping : Scrapy IDE : PyCharm, Google Colab HTML/CSS/JavaScript/React JS Proficiency in these core web development technologies is a must. Python Django Expertise: In-depth knowledge of e-commerce functionalities or deep Python Django knowledge. Theming: Proven experience in designing and implementing custom themes for Python websites. Responsive Design: Strong understanding of responsive design principles and the ability to create visually appealing and user-friendly interfaces for various devices. Problem Solving: Excellent problem-solving skills with the ability to troubleshoot and resolve issues independently. Collaboration: Ability to work closely with cross-functional teams, including marketing and design, to bring creative visions to life. interns must know about how to connect front end with datascience Also must Know to connect datascience to frontend **Benefits:** - Competitive salary package - Flexible working hours - Opportunities for career growth and professional development - Dynamic and innovative work environment Job Type: Full-time Pay: ₹8,000.00 - ₹12,000.00 per month Schedule: Day shift Ability to commute/relocate: Thiruvananthapuram, Kerala: Reliably commute or planning to relocate before starting work (Preferred) Work Location: In person

The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization.The candidate should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The role is that of an individual contributor; however, the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis. Master's degree in computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. Proficient in querying and analyzing large datasets using BigQuery on GCP. Strong Python skills for data wrangling and automation. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or QlikSense. 1+ years' experience in SQL programming language and relational databases. Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making by FCSD business team Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness

Python Bootcamp Instructor Position Overview We are seeking an experienced Python developer and educator to lead our intensive 9-session Python Live Bootcamp program. This hands-on teaching role requires someone who can guide students from zero programming experience to advanced Python development through practical, project-based learning. The ideal candidate will combine deep technical expertise with exceptional teaching abilities and a passion for helping others learn to code. Key Responsibilities Instructional Delivery Conduct live, interactive 2-hour teaching sessions for the Python bootcamp (18 total hours of instruction) Demonstrate coding concepts through real-time development of practical projects Guide students through building increasingly complex applications, from simple calculators to full-featured systems Facilitate the capstone session by live-coding a complete Personal Finance Dashboard application Technical Instruction Teach Python fundamentals through hands-on project development including: Interactive programs and basic I/O operations Control flow and decision-making logic Data structures (lists, dictionaries, tuples, sets) Functions, modules, and code organization File handling and data persistence Object-oriented programming concepts External library integration Advanced techniques (decorators, generators, multithreading) Debug student code in real-time and explain problem-solving approaches Demonstrate professional coding practices and clean architecture principles Student Support Provide clear explanations of complex concepts using practical examples Adapt teaching pace based on student comprehension Answer technical questions during and between sessions Offer constructive feedback on student projects Create an encouraging learning environment for beginners Required Qualifications Technical Expertise Minimum 3-5 years of professional Python development experience Strong proficiency in Python 3.x and its standard library Hands-on experience with: Object-oriented programming and design patterns File I/O operations (text, CSV, JSON) Exception handling and debugging Popular Python libraries (requests, matplotlib) RESTful APIs and web scraping Basic multithreading and performance optimization Teaching Experience Previous experience teaching programming (classroom, bootcamps, or workshops) Ability to explain technical concepts to complete beginners Experience with live coding demonstrations Comfort with project-based and practical learning approaches Project Development Skills Portfolio demonstrating various Python applications Experience building: CLI applications with user interaction Data processing and analysis tools Applications with external API integration Object-oriented systems with multiple components Preferred Qualifications Experience teaching in coding bootcamps or intensive programs Background in curriculum development for technical training Familiarity with additional Python frameworks ( FastAPI) Experience with data science libraries (pandas, numpy) Industry certifications in Python or related technologies Essential Skills Communication : Ability to explain complex concepts in simple terms Patience : Comfortable working with students at different skill levels Problem-solving : Quick debugging and troubleshooting abilities Adaptability : Flexibility to adjust teaching methods based on student needs Enthusiasm : Genuine passion for Python and teaching others to code Organization : Ability to manage time effectively during live sessions Presentation : Comfortable with live demonstrations and public speaking Session Commitment Duration : 9 sessions over 5 weeks (June 21 - July 19, 2025) Schedule : Saturdays: June 21, 22, 28, 29, July 5, 6, 12, 13, 19 2 hours per session (8-10pm IST) Format : Live, interactive instruction with hands-on coding, Remote What We Offer Competitive hourly/session rate Opportunity to shape the next generation of Python developers Flexible remote teaching option Access to teaching resources and support materials Potential for ongoing & future instructor opportunities Application Requirements Please submit: Resume highlighting Python development and teaching experience GitHub profile or portfolio showcasing Python projects Optional: teaching demonstration video Please submit all these requirements to vipul@businessanalyticsinstitute.com Deadline - 15th June 2025 ; 11:59pm Show more Show less

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

Job Title: Data Analyst - Python Job Classification : Full-Time Work Location : Work-From-Office (Hyderabad) Education : BE-BCS, B-Tech-IT, MCA or Equivalent Experience Level : 3 Years (2+ years’ Data Analysis experience) Company Description Team Geek Solutions (TGS) is a global technology partner based in Texas, specializing in AI and Generative AI solutions, custom software development, and talent optimization. TGS offers a range of services tailored to industries like BFSI, Telecom, FinTech, Healthcare, and Manufacturing. With expertise in AI/ML development, cloud migration, software development, and more, TGS helps businesses achieve operational efficiency and drive innovation. Position Description We are looking for a Data Analyst to analyze large amounts of raw information to find patterns that will help improve our products. We will rely on you to build data models to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Your task is to gather and prepare data from multiple sources, run statistical analyses, and communicate your findings in a clear and objective way. Your goal will be to help our company analyze trends to make better decisions. Qualifications/Skills Required 2+years’ experience in Python, with knowledge of packages such as pandas, NumPy, SciPy, Scikit-learn, Flask Proficiency in at least one data visualization tool, such as Matplotlib, Seaborn and Plotly Experience with popular statistical and machine learning techniques, such as clustering, SVM, KNN, decision trees, etc. Experience with databases, such as SQL and MongoDB Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Knowledge of python libraries OpenCVand TensorFlow is a plus Job Responsibilities /Essential Functions Identify, analyze, and interpret trends or patterns in complex data sets Explore and visualize data Use machine learning tools to select features, create and optimize classifiers Clearly communicate the findings from the analysis to turn information into something actionable through reports, dashboards, and/or presentations. Skills: pandas,business insights,numpy,plotly,scipy,python,mongodb,analytical skills,tensorflow,statistics,machine learning,sql,data,opencv,seaborn,data visualization,matplotlib,scikit-learn,flask Show more Show less

AI and Machine Learning Intern Company: INLIGHN TECH Location: Remote (100% Virtual) Duration: 3 Months Stipend for Top Interns: ₹15,000 Certificate Provided | Letter of Recommendation | Full-Time Offer Based on Performance About the Company: INLIGHN TECH empowers students and fresh graduates with real-world experience through hands-on, project-driven internships. The AI and Machine Learning Internship is crafted to provide practical exposure to building intelligent systems, enabling interns to bridge theoretical knowledge with real-world applications. Role Overview: As an AI and Machine Learning Intern, you will work on projects involving data preprocessing, model development, and performance evaluation. This internship will strengthen your skills in algorithm design, model optimization, and deploying AI solutions to solve real-world problems. Key Responsibilities: Collect, clean, and preprocess datasets for training machine learning models Implement machine learning algorithms for classification, regression, and clustering Develop deep learning models using frameworks like TensorFlow or PyTorch Evaluate model performance using metrics such as accuracy, precision, and recall Collaborate on AI-driven projects, such as chatbots, recommendation engines, or prediction systems Document code, methodologies, and results for reproducibility and knowledge sharing Qualifications: Pursuing or recently completed a degree in Computer Science, Data Science, Artificial Intelligence, or a related field Strong foundation in Python and understanding of libraries such as Scikit-learn, NumPy, Pandas, and Matplotlib Familiarity with machine learning concepts like supervised and unsupervised learning Experience or interest in deep learning frameworks (TensorFlow, Keras, PyTorch) Good problem-solving skills and a passion for AI innovation Eagerness to learn and contribute to real-world ML applications Internship Benefits: Hands-on experience with real-world AI and ML projects Certificate of Internship upon successful completion Letter of Recommendation for top performers Build a strong portfolio of AI models and machine learning solutions Show more Show less

📊 Data Analyst Intern 📍 Location: Remote (100% Virtual) 📅 Duration: 3 Months 💸 Stipend for Top Interns: ₹15,000 🎁 Perks: Certificate | Letter of Recommendation | Full-Time Offer (Based on Performance) About INLIGHN TECH INLIGHN TECH is an edtech startup focused on delivering industry-aligned, project-based virtual internships . Our Data Analyst Internship is designed to equip students and recent graduates with the analytical skills and practical tools needed to work with real-world data and support business decisions. 🚀 Internship Overview As a Data Analyst Intern , you will work on live projects involving data collection, cleaning, analysis, and visualization . You will gain hands-on experience using tools like Excel, SQL, Python , and Power BI/Tableau to extract insights and create impactful reports. 🔧 Key Responsibilities Gather, clean, and organize raw data from multiple sources Perform exploratory data analysis (EDA) to uncover patterns and trends Write efficient SQL queries to retrieve and manipulate data Create interactive dashboards and visual reports using Power BI or Tableau Use Python (Pandas, NumPy, Matplotlib) for data processing and analysis Present findings and recommendations through reports and presentations Collaborate with mentors and cross-functional teams on assigned projects ✅ Qualifications Pursuing or recently completed a degree in Data Science, Computer Science, IT, Statistics, Economics , or a related field Basic knowledge of Excel, SQL , and Python Understanding of data visualization and reporting concepts Strong analytical and problem-solving skills Detail-oriented, with good communication and documentation abilities Eagerness to learn and apply analytical techniques to real business problems 🎓 What You’ll Gain Practical experience in data analysis, reporting, and business intelligence Exposure to industry tools and real-life data scenarios A portfolio of dashboards and reports to showcase in interviews Internship Certificate upon successful completion Letter of Recommendation for top performers Opportunity for a Full-Time Offer based on performance Show more Show less

Job Description Bachelor’s degree in computer science or data analytics 2+ years of professional software development experience Comfortable in a collaborative, agile development environment Proven experience in using data to drive insights and influence business decisions. Strong expertise in Python, particularly for solving data analytics-related challenges. Hands-on experience with data visualization tools and techniques (e.g„ Matplotlib, Tableau, PowerBI, or similar). Solid understanding of data pipelines, analysis workflows, and process automation. Strong problem-solving skills with an ability to work in ambiguous, fast-paced environments Responsibilities Design, develop, and maintain data analytics tooling to monitor, analyze, and improve system performance and stability. Use data to extract meaningful insights and translate them into actionable business decisions. Automate processes and workflows to enhance performance and customer experience. Collaborate with cross-functional teams (engineering, product, operations) to identify and address critical issues using data. Create intuitive and impactful data visualizations that simplify complex technical problems. Continuously evolve analytics frameworks to support real-time monitoring and predictive capabilities. Qualifications Career Level - IC3 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Job Description Bachelor’s degree in computer science or data analytics 2+ years of professional software development experience Comfortable in a collaborative, agile development environment Proven experience in using data to drive insights and influence business decisions. Strong expertise in Python, particularly for solving data analytics-related challenges. Hands-on experience with data visualization tools and techniques (e.g„ Matplotlib, Tableau, PowerBI, or similar). Solid understanding of data pipelines, analysis workflows, and process automation. Strong problem-solving skills with an ability to work in ambiguous, fast-paced environments Responsibilities Design, develop, and maintain data analytics tooling to monitor, analyze, and improve system performance and stability. Use data to extract meaningful insights and translate them into actionable business decisions. Automate processes and workflows to enhance performance and customer experience. Collaborate with cross-functional teams (engineering, product, operations) to identify and address critical issues using data. Create intuitive and impactful data visualizations that simplify complex technical problems. Continuously evolve analytics frameworks to support real-time monitoring and predictive capabilities. Qualifications Career Level - IC3 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Job Description Bachelor’s degree in computer science or data analytics 2+ years of professional software development experience Comfortable in a collaborative, agile development environment Proven experience in using data to drive insights and influence business decisions. Strong expertise in Python, particularly for solving data analytics-related challenges. Hands-on experience with data visualization tools and techniques (e.g„ Matplotlib, Tableau, PowerBI, or similar). Solid understanding of data pipelines, analysis workflows, and process automation. Strong problem-solving skills with an ability to work in ambiguous, fast-paced environments Responsibilities Design, develop, and maintain data analytics tooling to monitor, analyze, and improve system performance and stability. Use data to extract meaningful insights and translate them into actionable business decisions. Automate processes and workflows to enhance performance and customer experience. Collaborate with cross-functional teams (engineering, product, operations) to identify and address critical issues using data. Create intuitive and impactful data visualizations that simplify complex technical problems. Continuously evolve analytics frameworks to support real-time monitoring and predictive capabilities. Qualifications Career Level - IC3 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Job Description Bachelor’s degree in computer science or data analytics 2+ years of professional software development experience Comfortable in a collaborative, agile development environment Proven experience in using data to drive insights and influence business decisions. Strong expertise in Python, particularly for solving data analytics-related challenges. Hands-on experience with data visualization tools and techniques (e.g„ Matplotlib, Tableau, PowerBI, or similar). Solid understanding of data pipelines, analysis workflows, and process automation. Strong problem-solving skills with an ability to work in ambiguous, fast-paced environments Responsibilities Design, develop, and maintain data analytics tooling to monitor, analyze, and improve system performance and stability. Use data to extract meaningful insights and translate them into actionable business decisions. Automate processes and workflows to enhance performance and customer experience. Collaborate with cross-functional teams (engineering, product, operations) to identify and address critical issues using data. Create intuitive and impactful data visualizations that simplify complex technical problems. Continuously evolve analytics frameworks to support real-time monitoring and predictive capabilities. Qualifications Career Level - IC3 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Job Description Bachelor’s degree in computer science or data analytics 2+ years of professional software development experience Comfortable in a collaborative, agile development environment Proven experience in using data to drive insights and influence business decisions. Strong expertise in Python, particularly for solving data analytics-related challenges. Hands-on experience with data visualization tools and techniques (e.g„ Matplotlib, Tableau, PowerBI, or similar). Solid understanding of data pipelines, analysis workflows, and process automation. Strong problem-solving skills with an ability to work in ambiguous, fast-paced environments Responsibilities Design, develop, and maintain data analytics tooling to monitor, analyze, and improve system performance and stability. Use data to extract meaningful insights and translate them into actionable business decisions. Automate processes and workflows to enhance performance and customer experience. Collaborate with cross-functional teams (engineering, product, operations) to identify and address critical issues using data. Create intuitive and impactful data visualizations that simplify complex technical problems. Continuously evolve analytics frameworks to support real-time monitoring and predictive capabilities. Qualifications Career Level - IC3 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Job Description Bachelor’s degree in computer science or data analytics 2+ years of professional software development experience Comfortable in a collaborative, agile development environment Proven experience in using data to drive insights and influence business decisions. Strong expertise in Python, particularly for solving data analytics-related challenges. Hands-on experience with data visualization tools and techniques (e.g„ Matplotlib, Tableau, PowerBI, or similar). Solid understanding of data pipelines, analysis workflows, and process automation. Strong problem-solving skills with an ability to work in ambiguous, fast-paced environments Responsibilities Design, develop, and maintain data analytics tooling to monitor, analyze, and improve system performance and stability. Use data to extract meaningful insights and translate them into actionable business decisions. Automate processes and workflows to enhance performance and customer experience. Collaborate with cross-functional teams (engineering, product, operations) to identify and address critical issues using data. Create intuitive and impactful data visualizations that simplify complex technical problems. Continuously evolve analytics frameworks to support real-time monitoring and predictive capabilities. Qualifications Career Level - IC3 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Company Description Ditansource aims to deliver a comprehensive solution through an innovative freelancing platform, ensuring exceptional quality at an optimal price. Our mission is to build a user-friendly platform that fosters global connections and empowers young talent. We enable professionals to showcase and refine their skills in their chosen fields while offering clients access to a diverse pool of talented individuals from around the world. Role Description Ditansource is offering a remote, paid internship or freelance opportunity for students, recent graduates, or self-taught professionals interested in Data Science. Selected candidates will work on real-world data-driven projects, developing models, generating insights, and improving decision-making across platforms such as www.ditansource.com and associated client applications. This is a hands-on opportunity to apply your analytical skills and grow in a collaborative, fast-paced environment. Qualifications • Proficiency in Python or R for data analysis • Familiarity with data science libraries (e.g., Pandas, NumPy, Matplotlib, Scikit-learn, TensorFlow/PyTorch optional) • Ability to clean, manipulate, and analyze structured and unstructured data • Understanding of basic statistical concepts and machine learning algorithms • Experience with SQL and working with databases • Ability to communicate insights through visualizations (using tools like Power BI, Tableau, or Python libraries) • Introductory knowledge of data pipelines, APIs, or web scraping is a plus • Portfolio of previous data science or analytics work (personal, academic, or professional) • Strong problem-solving, logical thinking, and communication skills • Comfortable using collaboration tools like Jupyter, GitHub, Notion, Slack, or Trello Key Responsibilities • Collect, clean, and analyze datasets from internal or external sources • Build predictive models and machine learning algorithms to solve business problems • Visualize key trends and metrics to support data-driven decision-making • Conduct exploratory data analysis (EDA) and summarize findings • Work closely with developers and product teams to translate insights into features • Prepare detailed reports and dashboards for internal or client use • Continuously test, validate, and improve models based on feedback and new data • Maintain data documentation and collaborate in a version-controlled environment Application Process • Submit Your Application (via LinkedIn Easy Apply) • Paid Technical Challenge (complete a short data analysis or modeling task) • Interview Rounds (Portfolio Review + Technical Interview + HR Interview) Terms • Paid remote internship or freelance work • Work on the live platform: www.ditansource.com • Formal onboarding via Ditanbiz India Private Limited (our affiliated company) Show more Show less

Data Analytics Internship – Skillytixs 📍 Location: Remote ⏳ Duration: 1 Month 💸 Compensation: Unpaid 🎓 Eligibility: Open to 1st – 4th Year Students and Recent Graduates About Us: Skillytixs is an emerging upskilling platform committed to bridging the gap between academic learning and industry expectations. We provide hands-on internship opportunities in Data Analytics , helping students and freshers gain real-world experience through practical projects, guided tasks, and personalized mentoring. About the Internship: We’re looking for passionate and curious learners who want to dive into the world of Data Analytics . As a Data Analyst Intern , you’ll work with real datasets, analyze trends, and build your project portfolio to showcase your skills to future employers. Your Responsibilities: Analyze and clean real-world datasets using Python (pandas, numpy) Perform Exploratory Data Analysis (EDA) to uncover hidden insights Create visualizations using Matplotlib , Seaborn , Power BI , or Tableau Build dashboards and performance reports for business use cases Document and communicate findings in a professional format What You’ll Learn: End-to-end data analytics process : from raw data to actionable insights How to present data-driven decisions effectively Gain real project experience to build a job-ready portfolio Exposure to industry-relevant tools and techniques Eligibility Criteria: Students (1st to 4th year) and recent graduates from any stream Basic knowledge of Python and Excel Eagerness to learn and solve real-world problems Good communication skills and a proactive mindset Ability to work independently and meet deadlines Perks & Benefits: Certificate of Internship Completion Letter of Recommendation (Performance-based) Top Performer Badge (Top 10 interns) LinkedIn Profile Optimization Support Opportunity to be featured on Skillytixs’ social media Tools & Technologies You'll Work With: Python (pandas, numpy, matplotlib, seaborn) Power BI / Tableau MySQL / PostgreSQL / SQL Server Basics of Machine Learning (optional) 💡 Ready to upskill and kickstart your analytics journey? Apply now and join our internship community of future data professionals. Show more Show less

Data Science and AI Developer **Job Description:** We are seeking a highly skilled and motivated Data Science and AI Developer to join our dynamic team. As a Data Science and AI Developer, you will be responsible for leveraging cutting-edge technologies to develop innovative solutions that drive business insights and enhance decision-making processes. **Key Responsibilities:** 1. Develop and deploy machine learning models for predictive analytics, classification, clustering, and anomaly detection. 2. Design and implement algorithms for data mining, pattern recognition, and natural language processing. 3. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. 4. Utilize advanced statistical techniques to analyze complex datasets and extract actionable insights. 5. Implement scalable data pipelines for data ingestion, preprocessing, feature engineering, and model training. 6. Stay updated with the latest advancements in data science, machine learning, and artificial intelligence research. 7. Optimize model performance and scalability through experimentation and iteration. 8. Communicate findings and results to stakeholders through reports, presentations, and visualizations. 9. Ensure compliance with data privacy regulations and best practices in data handling and security. 10. Mentor junior team members and provide technical guidance and support. **Requirements:** 1. Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. 2. Proven experience in developing and deploying machine learning models in production environments. 3. Proficiency in programming languages such as Python, R, or Scala, with strong software engineering skills. 4. Hands-on experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, or Spark MLlib. 5. Solid understanding of data structures, algorithms, and computer science fundamentals. 6. Excellent problem-solving skills and the ability to think creatively to overcome challenges. 7. Strong communication and interpersonal skills, with the ability to work effectively in a collaborative team environment. 8. Certification in Data Science, Machine Learning, or Artificial Intelligence (e.g., Coursera, edX, Udacity, etc.). 9. Experience with cloud platforms such as AWS, Azure, or Google Cloud is a plus. 10. Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) is an advantage. Data Manipulation and Analysis : NumPy, Pandas Data Visualization : Matplotlib, Seaborn, Power BI Machine Learning Libraries : Scikit-learn, TensorFlow, Keras Statistical Analysis : SciPy Web Scrapping : Scrapy IDE : PyCharm, Google Colab HTML/CSS/JavaScript/React JS Proficiency in these core web development technologies is a must. Python Django Expertise: In-depth knowledge of e-commerce functionalities or deep Python Django knowledge. Theming: Proven experience in designing and implementing custom themes for Python websites. Responsive Design: Strong understanding of responsive design principles and the ability to create visually appealing and user-friendly interfaces for various devices. Problem Solving: Excellent problem-solving skills with the ability to troubleshoot and resolve issues independently. Collaboration: Ability to work closely with cross-functional teams, including marketing and design, to bring creative visions to life. interns must know about how to connect front end with datascience Also must Know to connect datascience to frontend **Benefits:** - Competitive salary package - Flexible working hours - Opportunities for career growth and professional development - Dynamic and innovative work environment Job Type: Full-time Pay: ₹8,000.00 - ₹12,000.00 per month Schedule: Day shift Ability to commute/relocate: Thiruvananthapuram, Kerala: Reliably commute or planning to relocate before starting work (Preferred) Work Location: In person

Location : Ahmedabad Experience : 4-6 years Title : Data Scientist Job Description Primary Responsibilities : Analyze large and complex datasets to identify trends, patterns, and insights. Develop and implement machine learning models for prediction, classification, and clustering tasks using Python libraries like scikit-learn, TensorFlow, or PyTorch. Perform statistical analysis and hypothesis testing to validate findings and draw meaningful conclusions. Design and implement data visualization dashboards and reports using Python libraries like Matplotlib, Seaborn, or Plotly to communicate insights effectively. Collaborate with cross-functional teams to understand business requirements and translate them into data science solutions. Build and deploy scalable data pipelines using Python and related tools. Stay up-to-date with the latest advancements in data science, machine learning, and Python libraries. Communicate complex data insights and findings to both technical and non-technical audiences. What You'll Bring Proven experience as a Data Scientist or similar role. Strong programming skills in Python, with experience in relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn). Solid understanding of statistical concepts, machine learning algorithms, and data modeling techniques. Experience with data visualization using Python libraries (e.g., Matplotlib, Seaborn, Plotly). Ability to work with large datasets and perform data cleaning, preprocessing, and feature engineering. Strong problem-solving and analytical skills. Excellent communication and presentation abilities. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data science services. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Knowledge of database technologies (SQL and NoSQL). Experience with deploying machine learning models into production. (ref:hirist.tech) Show more Show less

Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Meet the Team We are a dynamic and innovative team of Data Engineers, Data Architects, and Data Scientists based in Bangalore, India. Our mission is to harness the power of data to provide actionable insights that empower executives to make informed, data-driven decisions. By analyzing and interpreting complex datasets, we enable the organization to understand the health of the business and identify opportunities for growth and improvement. Your Impact We are seeking a highly experienced and skilled Senior Data Scientist to join our dynamic team. The ideal candidate will possess deep expertise in machine learning models, artificial intelligence (AI), generative AI, and data visualization. Proficiency in Tableau and other visualization tools is essential. This role requires hands-on experience with databases such as Snowflake and Teradata, as well as advanced knowledge in various data science and AI techniques. The successful candidate will play a pivotal role in driving data-driven decision-making and innovation within our organization. Key Responsibilities Design, develop, and implement advanced machine learning models to solve complex business problems. Apply AI techniques and generative AI models to enhance data analysis and predictive capabilities. Utilize Tableau and other visualization tools to create insightful and actionable dashboards for stakeholders. Manage and optimize large datasets using Snowflake and Teradata databases. Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions. Stay updated with the latest advancements in data science, machine learning, and AI technologies. Mentor and guide junior data scientists, fostering a culture of continuous learning and development. Communicate complex analytical concepts and results to non-technical stakeholders effectively. Key Technologies & Skills: Machine Learning ModelsSupervised learning, unsupervised learning, reinforcement learning, deep learning, neural networks, decision trees, random forests, support vector machines (SVM), clustering algorithms, etc. AI TechniquesNatural language processing (NLP), computer vision, generative adversarial networks (GANs), transfer learning, etc. Visualization ToolsTableau, Power BI, Matplotlib, Seaborn, Plotly, etc. DatabasesSnowflake, Teradata, SQL, NoSQL databases. Programming LanguagesPython (essential), R, SQL. Python LibrariesTensorFlow, PyTorch, scikit-learn, pandas, NumPy, Keras, SciPy, etc. Data ProcessingETL processes, data warehousing, data lakes. Cloud PlatformsAWS, Azure, Google Cloud Platform. Minimum Qualifications Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. Minimum of [X] years of experience as a Data Scientist or in a similar role. Proven track record in developing and deploying machine learning models and AI solutions. Strong expertise in data visualization tools, particularly Tableau. Extensive experience with Snowflake and Teradata databases. Excellent problem-solving skills and the ability to work independently and collaboratively. Exceptional communication skills with the ability to convey complex information clearly. Preferred Qualifications (Provide up to five (5) bullet points these can include soft skills) Excellent communication and collaboration skills to work effectively in cross-functional teams. Ability to translate business requirements into technical solutions. Strong problem-solving skills and the ability to work with complex datasets. Experience in statistical analysis and machine learning techniques. Understanding of business domains such as sales, financials, marketing, and telemetry.

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 15th 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