Data Science Trainer


<\/p>

Location:<\/span><\/b> Ojodu Berger, Hybrid <\/span>
<\/div>
Employment Type:<\/span><\/b> Contract (Maternity Cover)<\/span>
<\/div>
Start Date:<\/span><\/b> Immediate<\/span>
<\/div>


<\/p>

We are seeking a highly skilled and experienced <\/span>Data Science Trainer<\/span><\/b> to join our team on a maternity cover basis. This is an urgent requirement for a professional who is passionate about data science and enjoys imparting knowledge to learners.<\/span>
<\/p>

Key Responsibilities<\/span>
<\/h2>
  • Deliver engaging and practical training sessions in Data Science and related fields.<\/span>
    <\/li>
  • Develop and update training materials, lesson plans, and assessments.<\/span>
    <\/li>
  • Provide mentorship and support to learners throughout their learning journey.<\/span>
    <\/li>
  • Evaluate learner performance and provide constructive feedback.<\/span>
    <\/li>
  • Stay up to date with industry trends, tools, and best practices in Data Science.<\/span>
    <\/li>
  • Collaborate with internal stakeholders to ensure training objectives are met.<\/span>
    <\/li><\/ul>

    <\/div><\/span>

    Requirements<\/h3>
    • Bachelor's Degree or HND in Computer Science, Data Science, Statistics, Mathematics, Information Technology, or a related field.<\/span>
      <\/li>
    • Relevant professional certifications in Data Science, Machine Learning, Artificial Intelligence, Data Analytics, or related disciplines will be an added advantage.<\/span>
      <\/li>
    • Proven experience delivering training in Data Science.<\/span>
      <\/li>
    • Strong understanding of statistical analysis, data visualization, and machine learning concepts.<\/span>
      <\/li>
    • Excellent presentation, communication, and facilitation skills.<\/span>
      <\/li>
    • Experience using industry\-standard tools such as Python, Jupyter Notebook, Pandas, NumPy, Scikit\-learn, Power BI, Tableau, or similar tools.<\/span>
      <\/li><\/ul>

      Preferred Skills<\/span>
      <\/h2>
      • Hands\-on industry experience in Data Science.<\/span>
        <\/li>
      • Ability to simplify complex technical concepts for learners with varying levels of experience.<\/span>
        <\/li>
      • Experience in curriculum development and learner assessment.<\/span>
        <\/li><\/ul>

        Why Join Us?<\/span>
        <\/h2>
        • Opportunity to impact and develop future data professionals.<\/span>
          <\/li>
        • Dynamic and collaborative work environment.<\/span>
          <\/li>
        • Immediate start for the right candidate.<\/span>
          <\/li><\/ul>

          <\/div><\/span>