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- Tasks: Dive into Data Analytics with real projects like fraud detection and sentiment analysis.
- Company: Join Oeson, a global leader in IT and Ed-tech services, dedicated to innovation.
- Benefits: Enjoy a flexible remote work environment and collaborate with a global team.
- Why this job: Gain hands-on experience while learning from data science experts in a supportive culture.
- Qualifications: Pursuing any degree with strong communication skills and a passion for teamwork.
- Other info: This is an unpaid internship, perfect for building your resume and skills.
About the Company:
Oeson is a leading IT corporation globally recognized for its expertise in providing top-notch IT and Ed-tech services. Specializing in digital marketing, data science, data analytics, UI-UX design, web development, and app development, we are dedicated to innovation, excellence, and empowering talents worldwide. Learn More: www.oesonlearning.com
About the Role:
Oeson is seeking enthusiastic individuals who are looking to learn with us in the field of Data Analytics while working on live projects internationally. We are not just offering a flexible work environment but also offering to work with people in a global team.
Projects You Will Work On:
- Finance Fraud Detection: Develop advanced fraud detection algorithms leveraging financial data analysis.
- Recommender System: Contribute to personalized recommendation systems, enhancing user experiences across platforms.
- Sentiment Analysis: Explore sentiment analysis to extract insights from textual data, shaping user sentiment understanding.
- Chatbots: Engage in intelligent chatbot development, revolutionizing customer interactions and support.
- Image/Audio Video Classification: Push boundaries with multimedia technology by working on image and audio video classification projects.
- Text Analysis: Uncover hidden patterns in textual data through sophisticated text analysis techniques.
Roles & Responsibilities:
- Collaborate with our esteemed data science experts to collect, clean, and analyze extensive datasets, honing skills in data preprocessing and visualization.
- Contribute to the development of predictive models and algorithms, employing cutting-edge machine learning techniques to solve real-world challenges.
- Work closely with team members to design, implement, and evaluate experiments, fostering a collaborative and innovative environment.
- Stay updated with the latest industry trends and best practices in data science, applying newfound knowledge to enhance project outcomes.
Qualifications:
- Currently pursuing any degree showcasing a strong commitment to continuous learning and professional growth.
- Exceptional written and verbal communication skills, vital for effective collaboration and articulation of complex ideas.
- Demonstrated ability to work both independently and as part of a cohesive team, highlighting adaptability and strong teamwork capabilities.
Note:
This position is unpaid. After submitting your application, our team will contact you to proceed with the application details and joining process.
Location:
Remote, Glasgow, Scotland, United Kingdom
Data Analytics Training & Internship employer: Oeson™
Contact Detail:
Oeson™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Training & Internship
✨Tip Number 1
Familiarize yourself with the latest tools and technologies in data analytics. Being knowledgeable about platforms like Python, R, or SQL can give you an edge when discussing your skills during the interview.
✨Tip Number 2
Engage with online communities and forums related to data analytics. Networking with professionals in the field can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Prepare to discuss real-world applications of data analytics. Think of examples where data-driven decisions have made a significant impact, as this shows your understanding of the field.
✨Tip Number 4
Show enthusiasm for learning and collaboration. Highlight any past experiences where you worked in teams or took initiative to learn new skills, as this aligns with Oeson's values.
We think you need these skills to ace Data Analytics Training & Internship
Some tips for your application 🫡
Understand the Company: Familiarize yourself with Oeson and its services in IT and Ed-tech. Highlight your understanding of their projects and how they align with your interests in data analytics.
Tailor Your CV: Customize your CV to emphasize relevant skills and experiences related to data analytics, machine learning, and teamwork. Make sure to include any coursework or projects that showcase your analytical abilities.
Craft a Compelling Cover Letter: Write a cover letter that expresses your enthusiasm for the internship and outlines your commitment to learning. Mention specific projects at Oeson that excite you and how you can contribute to them.
Showcase Communication Skills: Since exceptional communication is vital for this role, ensure your application materials are clear, concise, and free of errors. Use examples to demonstrate your ability to articulate complex ideas effectively.
How to prepare for a job interview at Oeson™
✨Show Your Passion for Data Analytics
Make sure to express your enthusiasm for data analytics during the interview. Share any relevant projects or coursework that demonstrate your interest and commitment to learning in this field.
✨Prepare for Technical Questions
Be ready to discuss technical concepts related to data analytics, such as data preprocessing, machine learning techniques, and data visualization tools. Brush up on these topics to showcase your knowledge and readiness to contribute.
✨Highlight Teamwork Experience
Since collaboration is key in this role, be prepared to share examples of how you've successfully worked in teams. Discuss your adaptability and how you can contribute to a cohesive team environment.
✨Stay Updated on Industry Trends
Demonstrate your commitment to continuous learning by discussing recent trends or advancements in data analytics. This shows that you're proactive and eager to apply new knowledge to real-world challenges.
