Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Lead Data Scientist at BasiGo.
Kenya Jobs Expertini

Urgent! Lead Data Scientist at BasiGo Job Opening In Kenya, Kenya – Now Hiring Confidential

Lead Data Scientist at BasiGo



Job description

Job Description

BasiGo is an e-mobility start-up looking to revolutionize the public transportation sector by providing public transport bus owners with a cost-effective electric alternative to diesel.

Headquartered in Nairobi, Kenya, our team is strategically composed of seasoned entrepreneurs who have spent over a decade working and innovating within electric vehicle t…


Lead Data Scientist

About the Role: 


We’re looking for a Lead Data Scientist to join our team.

The Lead Data Scientist will work within the data team, reporting to the Head of Software, and build cutting-edge technology and data-driven insights to optimise our operations, manage risk, and deliver exceptional value to our customers.


Key Responsibilities:

Data Strategy & Leadership:

  • Develop and execute a comprehensive data strategy aligned with the company’s business objectives for global operations, focusing on areas such as credit scoring, fleet optimisation, predictive maintenance, customer behaviour analysis, business insights, and market forecasting.

  • Build, mentor, and lead a high-performing team of data scientists and analysts as the company scales.

  • Champion data-driven decision-making across all departments in BasiGo, fostering a culture of experimentation and continuous improvement.

  • Identify and prioritise key business problems that can be solved through data science, translating them into actionable projects.
  • Model Development & Deployment:

  • Design, develop, validate, and deploy robust machine learning models for critical business functions, including but not limited to: Credit Risk Assessment: Building sophisticated credit scoring models for matatu operators and drivers based on traditional and alternative data sources (e.g., M-Pesa transactions, driving behaviour, operational history).
    Predictive Maintenance: Forecasting maintenance needs for electric vehicles to minimise downtime and optimise servicing schedules.
    Route and Schedule Optimisation: Analysing passenger demand patterns and route characteristics to inform efficient bus scheduling, route planning, and resource allocation.
    Fleet Optimisation: Analysing vehicle utilisation, route efficiency, and charging patterns to optimise fleet deployment and profitability.
    Driver scoring: Building a driver scoring model that analyses driver behaviour based on driving efficiency, acceleration and braking behaviour, customer feedback, reported incidents, e.t.c
    Demand Forecasting: Predicting demand for electric vehicle leases in various public transport routes.


  • Implement MLOps best practices for model versioning, deployment, monitoring, and retraining.

  • Ensure the ethical and responsible use of data and algorithms, with a focus on fairness and transparency.
  • Data Analysis & Insights:

  • Conduct in-depth exploratory data analysis to uncover trends, patterns, and insights that inform business strategy.

  • Develop dashboards and reporting tools to visualise key performance indicators (KPIs) and communicate data-driven insights to stakeholders.

  • Building the analytical capacities of all necessary departments to decentralise business insights and embed a culture of data for decision making.

  • Perform ad-hoc analysis to support strategic initiatives and troubleshoot operational challenges.
  • Data Infrastructure & Governance (in collaboration with engineering):

  • Work closely with the engineering team to define data requirements, build scalable data pipelines, and ensure data quality and integrity.

  • Advise on data architecture, data warehousing, and data lake solutions.

  • Establish and enforce data governance policies, ensuring compliance with relevant data protection regulations (e.g., GDPR, Kenyan data protection laws).
  • Qualifications:

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.

  • 5+ years of experience in a data science role, with at least 2 years in a leadership or senior capacity, preferably within the financial services, fintech, or mobility sectors.

  • Proven track record of building and deploying machine learning models in a production environment.

  • Strong proficiency in Python (e.g., scikit-learn, TensorFlow, Keras, PyTorch, Pandas, NumPy) and SQL.

  • Experience with the AWS cloud platform and big data technologies is highly desirable.

  • Solid understanding of statistical modelling, machine learning algorithms, and experimental design.

  • Experience with credit scoring models and alternative data sources is a significant advantage.

  • Familiarity with the Kenyan public transport sector (matatu industry) and local market dynamics is a strong plus.

  • Excellent communication and presentation skills, with the ability to translate complex analytical findings into clear, actionable insights for non-technical stakeholders.

  • Strong problem-solving abilities and a strategic mindset.

  • Ability to thrive in a fast-paced, dynamic startup environment.
  • Attitude and Approach:

  • A proactive approach to work, the ability to handle multiple tasks, and to maintain a high-quality standard when working under time pressure.

  • Growth mindset, excited to learn and not scared of asking questions.

  • Self-motivated and a great team player.

  • Required Skill Profession

    Other General



    Your Complete Job Search Toolkit

    ✨ Smart • Intelligent • Private • Secure

    Start Using Our Tools

    Join thousands of professionals who've advanced their careers with our platform

    Rate or Report This Job
    If you feel this job is inaccurate or spam kindly report to us using below form.
    Please Note: This is NOT a job application form.


      Unlock Your Lead Data Potential: Insight & Career Growth Guide


    • Real-time Lead Data Jobs Trends in Kenya, Kenya (Graphical Representation)

      Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Lead Data in Kenya, Kenya using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 387 jobs in Kenya and 207 jobs in Kenya. This comprehensive analysis highlights market share and opportunities for professionals in Lead Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.

    • Are You Looking for Lead Data Scientist at BasiGo Job?

      Great news! is currently hiring and seeking a Lead Data Scientist at BasiGo to join their team. Feel free to download the job details.

      Wait no longer! Are you also interested in exploring similar jobs? Search now: .

    • The Work Culture

      An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Confidential adheres to the cultural norms as outlined by Expertini.

      The fundamental ethical values are:
      • 1. Independence
      • 2. Loyalty
      • 3. Impartiality
      • 4. Integrity
      • 5. Accountability
      • 6. Respect for human rights
      • 7. Obeying Kenya laws and regulations
    • What Is the Average Salary Range for Lead Data Scientist at BasiGo Positions?

      The average salary range for a varies, but the pay scale is rated "Standard" in Kenya. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

    • What Are the Key Qualifications for Lead Data Scientist at BasiGo?

      Key qualifications for Lead Data Scientist at BasiGo typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.

    • How Can I Improve My Chances of Getting Hired for Lead Data Scientist at BasiGo?

      To improve your chances of getting hired for Lead Data Scientist at BasiGo, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

    • Interview Tips for Lead Data Scientist at BasiGo Job Success
      Confidential interview tips for Lead Data Scientist at BasiGo

      Here are some tips to help you prepare for and ace your job interview:

      Before the Interview:
      • Research: Learn about the Confidential's mission, values, products, and the specific job requirements and get further information about
      • Other Openings
      • Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.
      • Dress Professionally: Choose attire appropriate for the company culture.
      • Prepare Questions: Show your interest by having thoughtful questions for the interviewer.
      • Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.
      During the Interview:
      • Be Punctual: Arrive on time to demonstrate professionalism and respect.
      • Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.
      • Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.
      • Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.
      • Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.
      • Follow Up: Send a thank-you email to the interviewer within 24 hours.
      Additional Tips:
      • Be Yourself: Let your personality shine through while maintaining professionalism.
      • Be Honest: Don't exaggerate your skills or experience.
      • Be Positive: Focus on your strengths and accomplishments.
      • Body Language: Maintain good posture, avoid fidgeting, and make eye contact.
      • Turn Off Phone: Avoid distractions during the interview.
      Final Thought:

      To prepare for your Lead Data Scientist at BasiGo interview at Confidential, research the company, understand the job requirements, and practice common interview questions.

      Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Confidential's products or services and be prepared to discuss how you can contribute to their success.

      By following these tips, you can increase your chances of making a positive impression and landing the job!

    • How to Set Up Job Alerts for Lead Data Scientist at BasiGo Positions

      Setting up job alerts for Lead Data Scientist at BasiGo is easy with Kenya Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!