Refonte Learning AI Offers A Wide Range Of Career Opportunities Of Diverse Multiple Roles In European Economic Area

Data Science Intern

What You’ll Gain:

• This internship provides practical, hands-on experience in AI, Data Science, DevOps, and Cloud Technologies. As an intern, you’ll:
  • Collaborate with cross-functional teams to create and maintain AI-driven solutions.
  • Work on high-impact projects with a direct contribution to the development of innovative tech.
  • Gain exposure to cloud platforms, machine learning, data analytics, and automation.

Responsibilities:

• Work with teams to design, deploy, and support AI solutions.
• Collect, clean, and analyze data to generate meaningful insights.
• Build and maintain scalable data pipelines for AI model training and deployment.
• Integrate machine learning models into production using DevOps best practices.
• Optimize CI/CD pipelines for efficient deployment on cloud platforms.
• Configure and monitor cloud infrastructure using platforms like AWS, Azure, or Google Cloud.
• Translate business requirements into technical solutions in collaboration with data scientists and engineers.
• Research emerging tools in AI, Data Science, DevOps, and Cloud, keeping projects at the cutting edge.

Data Analytics Internship

Roles & Responsibilities:

• Collaborate with our esteemed data science experts to collect, clean, and analyze extensive datasets, honing skills in data preprocessing and visualization.
• Utilize machine learning and data mining techniques to extract insights from large datasets, including Excel interface structure identification.
• Apply Python programming skills for Exploratory Data Analysis (EDA) in real business scenarios, focusing on risk analytics in banking and financial services.
• Design scientific tests and optimize model performance using the latest modeling technologies like no-code databases and data mining.
• Collaborate with a team of experts to build machine learning pipelines for diverse use cases in commerce, financial markets, and procurement.
• Work with internal stakeholders to explore and understand business data, formulate hypotheses, and measure the impact of strategies using techniques like T-tests.
• Solve specific challenges and develop innovative solutions by adapting modeling technologies like bike share systems.

AI & Data Science Internship

Key Responsibilities:

• AI Solution Development: Work alongside cross-functional teams to design, deploy, and refine AI-driven solutions.
• Data Collection & Analysis: Help gather, process, and interpret data to uncover meaningful insights.
• Data Pipeline Implementation: Assist in creating scalable data pipelines to support model training and deployment.
• Machine Learning Model Integration: Collaborate with DevOps teams to bring ML models into production environments effectively.
• CI/CD Pipeline Optimization: Develop and fine-tune CI/CD pipelines for efficient testing and deployment of AI models on cloud platforms.

Digital Marketing Study & Internship

Roles & Responsibilities:

• Collaborate with our esteemed digital marketing experts and team in a global setup.
• Work live on website On-Page and Off-Page SEO.
• Rank the website in SERP.
• Work on paid ads like YouTube, Display networks.
• Run live email marketing campaigns using Mailchimp, Mailgun, and other platforms.
• Work on building social media presence like Facebook Pages, LinkedIn Business Profile, and Twitter account.

DevSecOp & Cyber Security Intern

Key Responsibilities:

• CI/CD Security: Design, develop, and manage secure CI/CD pipelines using DevSecOps practices for Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST), and Interactive Application Security Testing (IAST).
• Application Security: Implement OWASP standards to identify and mitigate vulnerabilities within applications.
• System Security and Assessment: Build secure systems, perform vulnerability assessments, and gain experience in infrastructure protection and web presence security.
• Threat Modeling & Risk Analysis: Conduct threat modeling and risk assessment for web applications, analyzing potential security risks and preparing countermeasures.

Business Analyst Intern

Qualifications:

• Education: Currently pursuing or recently completed a degree in Business Analytics, Data Science, Economics, Statistics, or related field.
• Analytical Skills: Strong ability to interpret and manipulate data sets using Excel, SQL, or similar tools.
• Technical Skills: Familiarity with data visualization tools (e.g., Tableau, Power BI) and basic knowledge of Python or R is a plus.
• Problem-Solving Mindset: Eager to tackle complex business problems and generate actionable insights.
• Communication Skills: Strong written and verbal communication skills, with the ability to present data insights clearly.

Why Join Refonte?

• Hands-on Experience: Gain valuable, real-world experience in business analytics within a supportive team.
• Mentorship & Growth: Work alongside experienced professionals and receive mentorship to develop your career.
• Impactful Work: Contribute to projects that directly influence business outcomes and make a difference.
• Innovative Culture: Be part of a culture that values new ideas, innovation, and continuous learning.