Data Scientist

**Company Description**
iKhokha is a place where chance takers become change makers. At iKhokha, we believe in better. As you'd expect, our pace is fast-moving and ever-changing. We like it that way. As one of the fastest growing Fintech's in Africa we've built a team of global change-makers who want to make an impact. If you believe in a better future, be a chance-taker and help us empower small businesses in South Africa.

Are you a data wizard eager to harness the power of analytics to drive impactful decisions?

Dive into our cutting-edge environment as a Data Scientist, and help our iKTribe shape the future of the FinTech industry

**So, what will you do?**

As a Data Scientists your purpose will be to extract valuable insights and knowledge from vast amounts of data.

Your goal will be to derive actionable insights from data that can drive informed decision-making, optimize processes, improve products or services, and uncover new opportunities for the businesses.

**In addition to the above, you will**:

- Ensure the accuracy and reliability of their analyses and models while interpreting the results appropriately.
- Responsible for preparing and cleaning the data. This involves handling missing values, outliers, data inconsistencies, and ensuring data quality.
- Be accountable for designing and building machine learning models or algorithms that solve specific business problems.
- Evaluate the performance of these models using appropriate metrics and ensure that the models are valid and robust.
- Document and maintain technical specifications, system configurations, and data flow diagrams.
- Implement and monitor data governance and security measures to ensure data privacy and compliance with relevant regulations.
- Collaborate with various stakeholders, including business managers, domain experts, and IT teams. They need to effectively communicate technical concepts, present and translating their findings into Business insights, and understand the requirements and objectives of the stakeholders.

**Qualifications**
- BSc Applied Mathematics / Statistics or Data Science. (mandatory)

**Deal Breakers**:
3-5 years’ experience in a Data Science role with the following:

- Experience working directly with Data teams (Including BI analysts, Data Analysts, Data engineers and Business Analysts) and have good exposure to various business functions.
- Excellent Statistical Analysis and mathematics skills, solid understanding of Mathematical foundations (statistical techniques, hypothesis testing, regression analysis, and probability theory).
- Excellent Machine Learning and Data Mining Skills: Specifically in Supervised learning.
- Solid Experience in Data wrangling, Data Cleaning and Data Visualization.
- Excellent experience in both: Python and SQL.
- Knowledge of Agile Scrum development principles and methodologies such as Scrum and Kanban.
- Participation and active engagement in the defined internal processes such as SDLC.

**In addition to the above, the following will make you a frontrunner for the role**:

- Solid Experience working with PowerBI, highly advantageous.
- Experience In Cloud platform technologies such as Azure or Snowflake, highly advantageous.
- Previous industry experience in financial services and / or Data Science or Data Analytics environment would be an advantage.
- General Knowledge as well as some understanding and exposure to the DMBOK framework would be advantageous.
- Problem solving and critical thinking ability.
- Data Quality and Governance should be at the top of the agenda.
- Attention to detail and quality.
- Has worked previously in a data warehouse environment would be advantageous.
- Good understanding of the Data Science and Machine learning landscape.
- Good understanding of how SDLC works in a data driven environment.
- A good understanding of how various functional areas within a business work such as Sales, Marketing, Finance, HR, Logistics and Operations.
- A good understanding of how card transactions and the online payment industry works.
- A very good understanding of the data and product management domain.

**Additional Information** Perks of joining the Tribe?**
- Work in a high-growth company with tangible results you're accountable for.
- Enjoy hybrid, remote, and in office work models.
- Competitive remuneration and benefits, including Medical Aid and Group Risk scheme contributions.
- Be guided by visionary leadership.
- Seize the opportunity for study leave.
- Access to on-demand learning and development.
- Experience a friendly, collaborative culture with a team of all-round-lekker humans (it’s true, we surveyed our Employees and they told us so).
- If you find yourself at HQ, coffee on tap and a selection of hot beverages provided by our very own onsite Barista.