es
Feedback
Data Science Jobs

Data Science Jobs

Ir al canal en Telegram

Join this channel to get job & internship updates related to data science, machine learning data engineering, artificial intelligence & data analytics fields.

Mostrar más
8 160
Suscriptores
-324 horas
+157 días
+15830 días
Archivo de publicaciones
𝗖𝗶𝘀𝗰𝗼 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍 Upgrade Your Tech Skills in 2025—For FREE! 🔹 Introduction t
𝗖𝗶𝘀𝗰𝗼 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍 Upgrade Your Tech Skills in 2025—For FREE! 🔹 Introduction to Cybersecurity 🔹 Networking Essentials 🔹 Introduction to Modern AI 🔹 Discovering Entrepreneurship 🔹 Python for Beginners 𝐋𝐢𝐧𝐤 👇:- https://pdlink.in/4chn8Us Enroll For FREE & Get Certified 🎓

L&T Finance hiring AI/ML Scientist https://www.linkedin.com/jobs/view/4178430877

photo content

𝟰 𝗙𝗥𝗘𝗘 𝗦𝗤𝗟 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍 - Introduction to SQL (Simplilearn) - Intro to SQL (Kaggle) -
𝟰 𝗙𝗥𝗘𝗘 𝗦𝗤𝗟 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍 - Introduction to SQL (Simplilearn)  - Intro to SQL (Kaggle)  - Introduction to Database & SQL Querying  - SQL for Beginners – Microsoft SQL Server  Start Learning Today – 4 Free SQL Courses 𝐋𝐢𝐧𝐤 👇:- https://pdlink.in/42nUsWr Enroll For FREE & Get Certified 🎓

ShareChat is hiring Product Analyst Intern 🚀 Qualification : Bachelor's degree Experience : Freshers / Experienced Location : Bangalore Apply link : Check out this job at ShareChat: https://www.linkedin.com/jobs/view/4197858780

𝗕𝗿𝗲𝗮𝗸 𝗜𝗻𝘁𝗼 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 – 𝗡𝗼 𝗘𝘅𝗰𝘂𝘀𝗲𝘀!😍 Want to learn Data Analytics, Python
𝗕𝗿𝗲𝗮𝗸 𝗜𝗻𝘁𝗼 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 – 𝗡𝗼 𝗘𝘅𝗰𝘂𝘀𝗲𝘀!😍 Want to learn Data Analytics, Python, Power BI, and Machine Learning without spending a single rupee? Here’s your golden ticket! 🎟️ 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3DMG9S5 🔗 Bookmark & Share This With Someone Who Needs It!

Repost from Data Analyst Jobs
Company name: Portcast Role: Data Science Intern Batch Eligible: 2025 & 2026 graduates Location: Remote Apply Link: https://jobs.lever.co/portcast/7ec43ef0-d521-4df3-9f51-58e72a839538 👉WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226 👉Telegram Link: https://t.me/addlist/4q2PYC0pH_VjZDk5 All the best 👍👍

🎓 𝗙𝗿𝗲𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗳𝗿𝗼𝗺 𝗢𝗽𝗲𝗻 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆 – 𝗟𝗲𝗮𝗿𝗻, 𝗚𝗿𝗼𝘄 & 𝗨𝗽𝘀𝗸𝗶𝗹𝗹!😍 If you’re just s
🎓 𝗙𝗿𝗲𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗳𝗿𝗼𝗺 𝗢𝗽𝗲𝗻 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆 – 𝗟𝗲𝗮𝗿𝗻, 𝗚𝗿𝗼𝘄 & 𝗨𝗽𝘀𝗸𝗶𝗹𝗹!😍 If you’re just starting your learning journey or looking to level up your skills—this is your golden opportunity! 🌟 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4cuo73X ⏳ Don’t miss out—bookmark this for later!

PhonePe hiring Data Scientists https://www.linkedin.com/jobs/view/4176129589

©How fresher can get a job as a data scientist?© Job market is highly resistant to hire data scientist as a fresher. Everyone out there asks for at least 2 years of experience, but then the question is where will we get the two years experience from? The important thing here to build a portfolio. As you are a fresher I would assume you had learnt data science through online courses. They only teach you the basics, the analytical skills required to clean the data and apply machine learning algorithms to them comes only from practice. Do some real-world data science projects, participate in Kaggle competition. kaggle provides data sets for practice as well. Whatever projects you do, create a GitHub repository for it. Place all your projects there so when a recruiter is looking at your profile they know you have hands-on practice and do know the basics. This will take you a long way. All the major data science jobs for freshers will only be available through off-campus interviews. Some companies that hires data scientists are: Siemens Accenture IBM Cerner Creating a technical portfolio will showcase the knowledge you have already gained and that is essential while you got out there as a fresher and try to find a data scientist job. Credits: https://t.me/datasciencefun

𝟱 𝗙𝗥𝗘𝗘 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍 Whether you’re a complete beginner or lo
𝟱 𝗙𝗥𝗘𝗘 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍 Whether you’re a complete beginner or looking to level up, these courses cover Excel, Power BI, Data Science, and Real-World Analytics Projects to make you job-ready. 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3DPkrga All The Best 🎊

𝗧𝗼𝗽 𝗰𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗢𝗳𝗳𝗲𝗿𝗶𝗻𝗴 𝗙𝗥𝗘𝗘 𝘃𝗶𝗿𝘁𝘂𝗮𝗹 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝘀😍 Want to work on re
𝗧𝗼𝗽 𝗰𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗢𝗳𝗳𝗲𝗿𝗶𝗻𝗴 𝗙𝗥𝗘𝗘 𝘃𝗶𝗿𝘁𝘂𝗮𝗹 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝘀😍 Want to work on real industry tasks, develop in-demand skills, and boost your resume—all for FREE?   Your dream career starts with real experience—grab this opportunity today! 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4bCyUIM 💡 No experience required—just learn, upskill & build your portfolio! 🚀

Creating a data science portfolio is a great way to showcase your skills and experience to potential employers. Here are some steps to help you create a strong data science portfolio: 1. Choose relevant projects: Select a few data science projects that demonstrate your skills and interests. These projects can be from your previous work experience, personal projects, or online competitions. 2. Clean and organize your code: Make sure your code is well-documented, organized, and easy to understand. Use comments to explain your thought process and the steps you took in your analysis. 3. Include a variety of projects: Try to include a mix of projects that showcase different aspects of data science, such as data cleaning, exploratory data analysis, machine learning, and data visualization. 4. Create visualizations: Data visualizations can help make your portfolio more engaging and easier to understand. Use tools like Matplotlib, Seaborn, or Tableau to create visually appealing charts and graphs. 5. Write project summaries: For each project, provide a brief summary of the problem you were trying to solve, the dataset you used, the methods you applied, and the results you obtained. Include any insights or recommendations that came out of your analysis. 6. Showcase your technical skills: Highlight the programming languages, libraries, and tools you used in each project. Mention any specific techniques or algorithms you implemented. 7. Link to your code and data: Provide links to your code repositories (e.g., GitHub) and any datasets you used in your projects. This allows potential employers to review your work in more detail. 8. Keep it updated: Regularly update your portfolio with new projects and skills as you gain more experience in data science. This will show that you are actively engaged in the field and continuously improving your skills. By following these steps, you can create a comprehensive and visually appealing data science portfolio that will impress potential employers and help you stand out in the competitive job market.

𝟭𝟬𝟬% 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍 Master Python, Machine Learning, SQL, and Data Visualization wit
𝟭𝟬𝟬% 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍 Master Python, Machine Learning, SQL, and Data Visualization with hands-on tutorials & real-world datasets? 🎯 This 100% FREE resource from Kaggle will help you build job-ready skills—no fluff, no fees, just pure learning! 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3XYAnDy Perfect for Beginners ✅️

Insta Astro is hiring Product Analyst 🚀 Experience : 0-1 Years Location : Noida Apply link : Check out this job at InstaAstro: https://www.linkedin.com/jobs/view/4191533201

Gartner is hiring Data Analyst 🚀 Experience : 0-3 Years Location : Bangalore Apply link : https://gartner.wd5.myworkdayjobs.com/EXT/job/Gurgaon/Data-Analyst-Associate-Data-Analyst_94692-1/apply?source=JB-10120

𝗧𝗼𝗽 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗛𝗶𝗿𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁𝘀 & 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁𝘀 😍 AIRBUS :- https://pdlink.
𝗧𝗼𝗽 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗛𝗶𝗿𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁𝘀 & 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁𝘀 😍 AIRBUS :- https://pdlink.in/3DQkisS Hitachi :- https://pdlink.in/4hOKGRN TESCO :- https://pdlink.in/41VS2OR BlackRock :- https://pdlink.in/41OY6Zq Astrazen :- https://pdlink.in/4c9UKDI Revolut :- https://pdlink.in/42cIHkC Aon :- https://pdlink.in/3DGQzmd Apply before the link expires 💫

Some useful telegram channels to learn data analytics & data science Python interview books 👇👇 https://t.me/dsabooks Data Analyst Interviews 👇👇 https://t.me/DataAnalystInterview SQL for data analysis 👇👇 https://t.me/sqlanalyst Data Science &  Machine Learning 👇👇 https://t.me/datasciencefun Data Science Projects 👇👇 https://t.me/pythonspecialist Python for data analysis 👇👇 https://t.me/pythonanalyst Excel for data analysis 👇👇 https://t.me/excel_analyst Power BI/ Tableau 👇👇 https://t.me/PowerBI_analyst Data Analysis Books 👇👇 https://t.me/learndataanalysis