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AI-Powered Job Summary
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This role is designed for recent Computer Science graduates or early-career professionals aiming to gain practical experience in data science and analytics. You will work on real-world projects, developing and deploying machine learning models, performing data analysis, and creating actionable insights from structured and unstructured data. The position emphasizes hands-on experience with tools and platforms like Python, SQL, Tableau, Power BI, and cloud services. Mentorship, project guidance, and interview preparation are included, allowing you to build a strong portfolio and increase employability. This role offers a supportive environment for bridging the gap between academic knowledge and industry-ready skills.
Accountabilities:
- Analyze datasets to uncover patterns, trends, and actionable insights for business and operational decisions
- Develop and validate machine learning and statistical models to solve real-world problems
- Assist in data preprocessing, feature engineering, and data visualization to support project objectives
- Collaborate with cross-functional teams to understand requirements and translate them into technical solutions
- Build and maintain dashboards, reports, and presentations to communicate findings to stakeholders
- Contribute to code repositories, follow best practices, and participate in mentorship and code reviews
- Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
- Proficiency in Python and/or R for data analysis and modeling
- Familiarity with SQL and relational databases
- Exposure to data visualization tools such as Tableau, Power BI, or similar platforms
- Strong analytical and problem-solving skills with the ability to learn new technologies quickly
- Effective communication and collaboration skills for working in team environments
- Open to candidates with gaps in employment or limited professional experience
- Knowledge of machine learning libraries (e.g., Scikit-Learn, TensorFlow, PyTorch)
- Experience with cloud platforms (AWS, Azure) or DevOps practices
- Exposure to big data tools like Databricks or Snowflake
- Experience creating portfolios or GitHub projects showcasing technical work
- Hands-on experience with real-world data science projects
- Personalized mentorship, mock interviews, and career guidance
- Support in certification and skill development (Java, AWS, Power BI, TensorFlow, etc.)
- Flexible remote or hybrid work arrangements
- Opportunities for placement with top tech companies
- Competitive salary and potential for rapid career growth
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly:
- 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements
- 📊 It compares your profile to the job's core requirements and past success factors to determine your match score
- 🎯 Based on this analysis, the 3 candidates with the highest match to the role are automatically shortlisted
- 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed
Thank you for your interest!
Key Skills
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