Predictive Analytics & AI Intern - Remote Job

Job Overview

Location
Queensferry, Scotland, United Kingdom
Job Type
Full Time

Additional Details

Job ID
4407
Job Views
15

Job Description

Job Summary

Fresher Jobs Hub is seeking a dynamic and motivated Predictive Analytics & AI Intern to join our innovative team remotely. This internship is an exciting opportunity for individuals passionate about data science, artificial intelligence, and predictive modeling. You will work closely with experienced professionals on cutting-edge projects that will enhance your technical capabilities and provide exposure to real-world applications of AI and analytics within a fast-paced and collaborative environment.

Key Responsibilities

  • Assist in designing, developing, and implementing predictive models and machine learning algorithms to solve business challenges.
  • Analyze large datasets to extract actionable insights and present findings to the data science and business teams.
  • Collaborate with cross-functional teams, including engineering, marketing, and product management, to integrate AI solutions into company operations.
  • Support the creation of dashboards, reports, and visualization tools to communicate complex data findings clearly.
  • Conduct research on emerging AI and machine learning trends to support innovation initiatives.
  • Assist in testing and validating models to ensure accuracy, scalability, and robustness.
  • Participate in brainstorming sessions, team meetings, and project planning discussions.

Required Skills and Qualifications

  • Currently pursuing or recently completed a Bachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Solid understanding of predictive analytics, AI, and machine learning principles.
  • Proficiency in programming languages such as Python or R, with experience in relevant libraries (e.g., scikit-learn, TensorFlow, pandas).
  • Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Ability to work independently and as part of a remote, collaborative team.
  • Excellent written and verbal communication skills.

Experience

  • Prior internship or project experience in data analysis, AI, or machine learning is highly desirable but not mandatory.
  • Experience with cloud platforms (AWS, Azure, or GCP) is a plus.
  • Exposure to data engineering concepts or tools is an added advantage.

Working Hours

  • Flexible working hours (15-20 hours per week), with the ability to coordinate with team members in various time zones.
  • Fully remote position.

Knowledge, Skills, and Abilities

  • Strong foundation in statistical analysis and mathematical modeling.
  • Ability to interpret data trends and translate them into actionable recommendations.
  • Detail-oriented with a proactive attitude towards learning new technologies.
  • Adaptability to work on multiple projects simultaneously in a fast-paced environment.
  • Strong organizational and project management skills.

Benefits

  • Gain hands-on experience working on impactful AI and predictive analytics projects.
  • Mentorship from experienced data scientists and AI professionals.
  • Access to industry-standard tools, platforms, and learning resources.
  • Flexible schedule with remote work environment.
  • Certificate of completion and letter of recommendation upon successful internship completion.
  • Potential opportunity for a full-time role based on performance.

Why Join Fresher Jobs Hub?

At Fresher Jobs Hub, we are dedicated to empowering young talent and fostering innovation in the AI and analytics space. You will be part of a diverse and inclusive team that values creativity, learning, and collaboration. Here, your contributions will directly impact real-world business decisions, helping you build a solid foundation for a successful career in data science and AI.

How to Apply

If you are excited about using data and AI to solve complex problems and drive business outcomes, we would love to hear from you! Please submit your updated resume along with a brief cover letter explaining your interest in the role to us. Applications will be reviewed on a rolling basis.

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