Interswitch is an integrated digital payments and commerce company with a focus on Africa that makes it easier for people and organizations to exchange value and move money electronically in a timely and reliable manner. We began as an electronic payments processing and transaction switching company in 2002, but we have since developed into an integrated payment services provider that builds and manages payment infrastructure and offers cutting-edge payment products and transactional services across the African continent. We at Interswitch provide exceptional employment prospects for anyone who can contribute to a creative and enjoyable work environment and perform important roles.
We are hiring to cover the following position:
Title of Position: Head of Data Science
Where: Lagos
Overview of the Job
- To oversee and direct a productive group of machine learning engineers and data scientists in order to consistently produce outcomes.
- To oversee the full lifecycle of data science products and portfolios, promote the creation of new machine learning capabilities, and use advanced analytics to provide business value.
Principal Duties
Team management and leadership:
- Oversee, guide, and motivate a group of data scientists by offering advice on statistical modeling, machine learning, and data-driven decision-making best practices.
- Encourage professional advancement and cultivate an environment where team members are always learning and trying new things.
Cooperation and Interdepartmental Partnership:
- Act as the technical counterpart to promote data-driven partnerships by closely collaborating with business development teams to investigate new prospects for data solutions.
- To guarantee the smooth integration of data science solutions, work with product managers to specify technical needs for new features and improvements.
Research and Development:
- Keep abreast on the most recent developments in AI, data engineering, and machine learning.
- Oversee research and development activities for cutting-edge methods including reinforcement learning, natural language processing, and predictive modeling to guarantee ongoing enhancements to product offerings.
Management of Products:
- To improve current data science products, work together with product management, business development, and other stakeholders.
- Manage the product lifecycle actively, making sure that it is in line with customer needs and corporate goals.
- Ensure scalability and robustness by supervising the implementation and upkeep of machine learning models in production.
Innovation and Development of Solutions:
- To satisfy changing company needs, design and develop innovative data-driven goods and services that make use of AI, machine learning, and sophisticated analytics.
- Investigate cutting-edge data science applications to provide more value to our platform.
- Enhance workflow accuracy and efficiency by integrating machine learning capabilities into operational procedures.
Performance Tracking and Enhancement:
- For any data science project, set up and monitor key performance indicators (KPIs) to guarantee quantifiable effects on operational effectiveness and business expansion.
- Encourage infrastructure development and MLOPS best practices for all ML/DS projects.
- Encourage ongoing enhancements to deployed models’ performance, focusing on speed, accuracy, and interpretability.
Requirements
Academic Qualifications (s):
Bachelor’s degree in computer science, engineering, or a similar discipline
Professional Qualifications(s):
Not mandatory.
Experience (Number of relevant years):
- 7 years or more of experience in data science, machine learning, and advanced analytics, ideally in the banking, telco, or fintech industries.
- Managing junior data scientists for two to three years.
- Demonstrated expertise in creating, developing, and implementing data science solutions in real-world settings.
How to Apply
Interested and qualified candidates should:
Click here to apply
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