Job Opportunities at Interswitch

Discover opportunities for product development, business and process optimization from internal and external datasets using Data Science techniques.

Responsibilities

• Provide data science functions across the group
• Extending company’s data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleaning, and verifying the integrity of data used for analysis
• Develop machine learning and AI models to increase and optimize customer experiences, revenue generation, KPI and other business outcomes
• Doing ad-hoc analysis and presenting results in a clear manner
• Provide support as required to assist clients in applying the generated insights to their business
• Ensure proper configuration management and change controls are implemented as regards acquired data and working documents used for analysis and modelling
• Create/use automated anomaly detection systems and constantly tracking of its performance
• Building your knowledge and learning new skills by attending workshops, seminars and conferences or self-learning materials
• Research and identify new initiative opportunities and process improvements
• Contribute to in-house data science tools

Requirements

• Good first degree in Computer Science/ Statistics/ related field
• Minimum of 2 years experience in a Data Science role

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Discover opportunities for product development and process optimization from large datasets using Data Science techniques. Build, test, and deploy models, as well as maintain the underlying infrastructure. Create data initiative roadmaps from company strategies.

Responsibilities

• Provide data science functions across the group
• Extending company’s data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleaning, and verifying the integrity of data used for analysis
• Develop machine learning and AI models to increase and optimize customer experiences, revenue generation, KPI and other business outcomes
• Doing ad-hoc analysis and presenting results in a clear manner
• Provide support as required to assist clients in applying the generated insights to their business
• Ensure proper configuration management and change controls are implemented as regards acquired data and working documents used for analysis and modelling
• Create/use automated anomaly detection systems and constantly tracking of its performance
• Building your knowledge and learning new skills by attending workshops, seminars and conferences or self-learning materials
• Research and identify new initiative opportunities and process improvements
• Contribute to in-house data science tools
• Build, test, and deploy models, as well as maintain the underlying infrastructure
• Mentor team members and provide leadership
• Create data initiative roadmaps from company strategies

Requirements

• Minimum of 5 years in a Data Science role and experience a number crunching role for reporting purpose such as operations reporting, statistics etc

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To work on the collecting, storing, processing, and analyzing of huge sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. You will also be responsible for integrating them with the architecture used across the company. You are at the intersection of data, engineering and product.

Responsibilities

• Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities
• Implementing ETL processes
• Design, build, maintain and test robust data pipelines for different types of data streams
• Monitoring performance and advising any necessary infrastructure changes
• Analyzing data and defining data retention policies

Requirements

• BSc in Computer Science/Engineering or related field
• Big Data related certifications/qualifications
• Minimum of 3+ years of industry experience in a big data role

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To enable effective decision making based on insights delivered to the business. Build, manage and steer a team of data analysts, data scientists and data engineers. Plan, direct and coordinate the delivery of analytics services/data products to the business. Cocreate value with other business lines and service teams within the business to drive profitability and improve customer experience.

Responsibilities

• Achieve Level 5 Data Maturity Score by defining, planning, and implementing roadmap to close the identified gaps
• Participate in business analysis activities to gather insight requirements
• Translate the requirements into specifications that will be used to analysis the specified data
• Work with the business lines and service team to source for and acquire data where required
• Effectively plan tasks across multiple projects simultaneously with different requirements, needs, and priorities
• Mentor team member and provide leadership and vision to the team
• Work with Data & Analytics Excellence to achieve compliance with the stipulated best practices and standard regarding data analytics
• Provide support as required to assist the business in applying the generated insights
• Ensure proper configuration management and change controls are implemented as regards acquired data and working documents used for analysis and generating actionable insights
• Provide technical assistance to team members
• Provide insights that will improve Purepay’s products, services, marketing, and customer experience
• Provide training and assistance to users for ad hoc reports
• Design and implement best practices, guidelines, and repeatable processes as it relates to job functions

Requirements

• Academic Qualification(s): Good first degree in Computer Engineering / Science/ Statistics/ related field
• Professional Qualification(s): Relevant Certifications in analytics tools such as Tableau, Power Bi and any data engineering/science tools is an added advantage
• Professional knowledge of state-of-the art tools and methodologies
• Proven leadership skills in managing a team
• Experience (Number of relevant years): Minimum of 10 years in an Analytics role inclusive of 5 years in related roles for data driven purpose such as business analysis, operations reporting, statistics, project management reporting, etc and at least 3 years in a Managerial position