1). Data Science Intern
Location: Nigeria
Employment Type: Full-time
About the Role
- As a Data Science Intern, you will have the opportunity to gain hands-on experience in the field of credit risk assessment and contribute to real-world projects.
- You will work closely with experienced data scientists and analysts to analyze data, develop models, and help us make data-driven decisions in the credit domain.
Job Responsibilities
- Assist in the collection, cleaning, and exploratory analysis of credit-related datasets to identify trends, patterns, and insights.
- Collaborate with data scientists to develop and fine-tune credit risk models, including machine learning and statistical models.
- Support model validation efforts by conducting performance evaluation, model testing, and validation exercises.
- Help identify and engineer relevant features from diverse data sources to enhance model accuracy and predictive power.
- Create data visualizations and dashboards to communicate results and insights effectively to stakeholders.
- Document your work, including data preprocessing steps, model development processes, and key findings, for knowledge sharing and future reference.
- Stay updated with the latest developments in data science and credit risk assessment and propose innovative solutions to enhance our credit risk modeling efforts.
- Work closely with cross-functional teams, including data engineers, business analysts, and risk management professionals, to understand business requirements and contribute to solving complex credit-related challenges.
Required Experience and Qualifications
- Strong analytical and problem-solving skills.
- Proficiency in programming languages such as Python or R.
- Basic knowledge of machine learning algorithms and statistical methods.
- Familiarity with data manipulation libraries (e.g., pandas, numpy) and data visualization tools (e.g., Matplotlib, Seaborn).
- Excellent communication and teamwork skills.
- A strong desire to learn and a passion for data science and credit risk assessment.
- Relevant coursework or projects related to data analysis, machine learning, or credit risk modeling.
- Experience with data science libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch) is a plus.
- Previous internship or project experience in data analysis, data science, or related fields.
- Knowledge of financial concepts and credit risk fundamentals.
Deadline: Not Specified.
How to Apply: Interested and qualified candidates should use the link below to apply:
2). Software Engineer Intern
Location: Nigeria
Employment Type: Full-time
About the Role
- To be successful as a Software Engineer Intern, you should have a working knowledge of software development.
- Ultimately, the Software Engineer Intern should be result-driven, have good communication skills, and up-to-date knowledge of software programming.
Core Responsibilities
- Supporting the software engineers with the design implementation and shadowing their duties to understand the processes more effectively.
- Developing applications(coding, programming)
- Debugging and test code
- Documenting and testing new software applications
- Researching, investigating and fixing a wide range of technical issues
- Collaborating with senior leaders
- Approaching problems and creating solutions
- Proactively learning about new technologies.
Qualifications
- At least 1 year of experience writing code.
- Familiarity with one of the following programming languages: typescript, python, php, golang.
- Familiarity with MySQL is a plus.
- Experience with Docker, Gitlab CI, Bitbucket CI is a plus.
- Ability to work in a fast-paced environment with minimal supervision.
- Sense of ownership and pride in your performance and its impact on the company’s success.
- Critical thinker and problem-solving skills.
- Team player.
- Good time-management skills.
Deadline: Not Specified.
How to Apply: Interested and qualified candidates should use the link below to apply:
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Important Notes
- The above statements are intended to describe the general nature and level of work to be performed by those assigned to this function.
- It should not be construed as an exhaustive list of all responsibilities, tasks and skills required of persons so classified.
- All employees may be required to undertake other responsibilities in addition to those specified from time to time, as required.
- We do not charge any application, processing, training, interview, testing or any other fees in connection with the application or recruitment process. If you receive a fee request, please ignore it.
- Also, please note that logos, slogans, names and titles are easily copied and reproduced. Therefore, particular care should be taken when submitting personal information on the web.
- We are an equal opportunity employer that values inclusiveness and diversity. We do not discriminate on the basis of color, race, nationality, religion, age, ethnic origin, disability, gender, marital status or orientation gender in our employment practices
- Our employees are all equally talented in unique ways: we come from diverse traditions, personal experiences and perspectives. And we want to include your ideas, are you ready to inspire us with your ideas?
- We encourage all applicants to apply and do not discriminate in any recruitment process.
- Applications submitted after the deadline will not be considered.
- Due to the necessity of the position, we are entitled to appoint a candidate who matches the required profile before the above deadline
- Only qualified candidates will be invited for an interview
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