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Tenders are invited for Data Science Trainer Closing Date: Thursday, 12. Jun 2025 Intervention Sector(s): Training & Capacity Building As part of the Tech Pour Tous initiative, MDSF is implementing a specialized Data Science training program. This training is targeted at young women between the ages of 15 and 35 who have limited exposure to technology. Before starting the Data Science track, all participants will complete a foundational digital literacy course. The training aims to provide participants with practical Data Science skills and prepare them for real-world projects and freelancing opportunities. Upon completion of the 5-month training, learners will transition into a 2-month internship program where they will apply their newly acquired skills in a professional setting. This structured internship component ensures that the training is practice-driven and employment-oriented. Objective The objective is to deliver 120 hours of Data Science training to one group of learners over a five-month period, enabling them to gain practical competencies in data analysis and introductory machine learning using industry-relevant tools. Scope of Work The Trainer will: Deliver 120 hours of structured Data Science training, divided over 5 months, with 2 sessions per week (3 hours each) Develop and execute a progressive curriculum covering: Python programming fundamentals Data structures and data wrangling using Pandas Exploratory data analysis and data visualization with Matplotlib and Seaborn Statistical analysis and probability concepts Introduction to supervised and unsupervised machine learning using Scikit-learn Real-world data project planning, cleaning, modeling, and evaluation Incorporate hands-on exercises, case studies, and industry-relevant datasets throughout the program Guide participants in developing a capstone project simulating an end-to-end data science workflow Integrate collaborative learning activities and peer reviews to enhance project-based experience Conduct pre- and post-assessments to benchmark skill acquisition Provide individual feedback, track learner progress, and adjust pace/content as needed Support internship readiness by reinforcing problem-solving, communication, and documentation skills Target Group: Women aged 1535 with low tech backgrounds who will complete Digital Literacy training prior to starting this course. Deliverables The selected trainer is expected to deliver the following: A comprehensive curriculum and training plan tailored to beginners Detailed session plans and interactive teaching materials Delivery of 120 instructional hours Administration of pre-tests and post-tests to assess learning outcomes Regular evaluation of participant progress Compilation of learner portfolios and practical project work Attendance and engagement reports Mid-training and final reports with performance summaries and internship placement recommendations Duration of Assignment The assignment will be completed within 5 months from the start date. Start Date: 01 July 2025 End Date: 30 November 2025 Trainer Qualifications The selected trainer should meet the following criteria: 1. A bachelors degree or higher in Data Science, Computer Science, Statistics, or a related field 2. Minimum of 3 years of professional experience in data science, data analysis, or machine learning 3. Prior teaching or training experience in data science or programming concepts, preferably in community or youth based programs 4. Strong working knowledge of Python, Pandas, Matplotlib/Seaborn, and basic machine learning frameworks 5. Experience in using learner-centered and project-based training methodologies 6. Strong communication, facilitation, and mentorship skills, particularly for working with entry-level learners 7. Capacity to monitor learner progress and adapt instruction accordingly Location The training sessions will be delivered at Michel Daher Social Foundation, Ferzol, Bekaa, Lebanon. How to apply Step 1: Prepare your Bid Documents Submit the following: Technical Proposal: Course outline, content, tools used, and learning outcomes. Financial Proposal: Provide a breakdown of your total offer in USD, including session rates, expenses, and taxes. Outline the payment structure based on milestones tied to deliverables. (fill attached Annex 1) Legal Documents: MOF certificate, ID, registration Step 2: Submit Your Bid Email your complete bid to procurement@daherfoundation.org Subject Line: TOR - Data Science Training - Tech Pour Tous Deadline: 12 June 2025 Required Documents: Financial proposal (Annex 1) Technical proposal Legal Documents (MOF, ID, Registration Certificate) Step 3: Offer Validity Your offer must remain valid for 60 days from the submission deadline. You may be contacted for clarifications or further discussions during this time. Step 4: Payment Terms Payment will be made via bank transfer or Telegraphic Transfer (TT) within 15 working days after service completion. Payment will be processed after deliverables are met. Note: Without a valid MOF certificate, tax deductions of 3.4% on goods and 8.5% on services will apply, according to the articles number 41 and 42 of the income tax law. Step 5: Evaluation Proposals will be evaluated based on: Technical (60%): curriculum, delivery approach, and qualifications. Financial (40%): Cost-effectiveness and competitiveness Tender Link : https://daleel-madani.org/civil-society-directory/michel-daher-social-foundation/calls/data-science-trainer-0
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