Data Scientist at Interswitch Group

Interswitch is an Africa-focused integrated digital payments and commerce company that facilitates the electronic circulation of money as well as the exchange of value between individuals and organisations on a timely and consistent basis. We started operations in 2002 as a transaction switching and electronic payments processing, and have progressively evolved into an integrated payment services company, building and managing payment infrastructure as well as delivering innovative payment products and transactional services throughout the African continent. At Interswitch, we offer unique career opportunities for individuals capable of playing key roles and adding value in an innovative and fun environment.

We are recruiting to fill the position below:

Job Title: Data Scientist

Location: Lagos

Job Purpose

• We are currently seeking an experienced Data Scientist to work on big data and data science projects that gather and integrate large volumes of data, perform analysis, interpret results and patterns and develop actionable insights and recommendations to inform decision making and enhance Interswitch’s products and platforms.
• To act as a strategic thought partner for cross-functional teams to both generate and evaluate the viability and impact of new data models and initiatives.

Responsibilities

• Consult and educate stakeholders on methods for streamlining and standardizing data recording to ensure quality and accuracy.
• Build and maintain the Interswitch’s data warehouse to support reporting, analysis, dimensional modelling and data development for internal and external stakeholders.
• Empower key stakeholders to access reliable, clean, business data by emphasizing quality and best practices, identifying and implementing improvements to Interswitch’s data pipeline such as better documentation, anomaly detection, alerting and instrumentation.
• Support creation of machine learning algorithms by applying standard statistical analysis or data preparation methods.
• Analyze Interswitch’s payment processing funnels, identify areas of improvement and brainstorm ways to leverage user experience, conversion and profitability.
• Collate and analyze data using pre-set tools, methods and formats.
• Work cross-functionally to understand and convert business needs into data science solutions and new innovative products that will deliver on the payment processing agenda in line with Interswitch business requirements and strategy.
• Perform deep dive data science and data analysis to understand drivers of products and platforms performance and customers’ behaviors, to identify investment opportunities for growth, to expand and sustain Interswitch’s user base and to shape ongoing and future enhancements.
• Conduct industry benchmarking to identify improvement opportunities, data science, artificial intelligence and machine learning related trends and best practices and implement them to optimize revenue growth and brand preference.
• Help others get the most out of internal communications systems by offering support and advice.
• Serve as an advocate for data-driven product design, evangelize insights on what is working and what is not to help drive incremental gains in pipeline and revenue.
• Act as a mentor and coach to team members while fostering an environment of mutual respect and trust among senior-level team members.
• Resolve complex queries from internal or external customers or suppliers by providing information on policies and procedures, referring to the most complex issues with others.
• Assist in building and prototype analysis pipelines iteratively, including analytics algorithms, business enablers and models related to predictive analytics, acquisition, lifecycle stage, purchase propensity, customer segmentation, marketing attribution models and forecast, experimentation metrics, data acquisition processes.
• Harness data is applied to products that need to respond with payment processing analytics.
• Interface with business functions sharing actionable insights based upon multiple data sources to inform and assist decision makers in the most expedient ways to improve and optimize products and platforms performance in cost, quality, delivery and user experience.

Requirements

• University First Degree in Computer Science, Information Technology, Statistics, Mathematics, Finance or related fields.
• At least 5 years' relevant experience in Analytical roles ideally within financial or FinTech institutions, including a minimum of 3 years in data science.

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online

Note: Due to the high volume of applications, only shortlisted candidates will be contacted. Thank you.