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
Employment Type: Permanent
Department: Paymate - Digital Commerce & Merchant Acquiring

Job Purpose

• 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
Data Architecture:

• Consult and educate stakeholders on methods for streamlining and standardising 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 emphasising quality and best practices, identifying and implementing improvements to Interswitch’s data pipeline such as better documentation, anomaly detection, alerting and instrumentation.

Performance Improvement through Business Intelligence:

• Support creation of machine learning algorithms by applying standard statistical analysis or data preparation methods.
• Analyse Interswitch’s payment processing funnels, identify areas of improvement and brainstorm ways to leverage user experience, conversion and profitability.

Data Collection and Analysis:

• Collate and analyse 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’ behaviours, to identify investment opportunities for growth, to expand and sustain Interswitch’s user base and to shape ongoing and future enhancements.

Benchmarking and Identifying Opportunities:

• Conduct industry benchmarking to identify improvement opportunities, data science, artificial intelligence and machine learning related trends and best practices and implement them to optimise revenue growth and brand preference.

 Internal Communications:

• Help others get the most out of internal communications systems by offering support and advice.
• Serve as an advocate for data-driven product design, evangelise 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.

Information and Business Advice:

• Resolve complex queries from internal or external customers or suppliers by providing information on policies and procedures, referring the most complex issues to 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 that are 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 on the most expedient ways to improve and optimise products and platforms performance in cost, quality, delivery and user experience.

Requirements
General Education:

• University First Degree in Computer Science, Information Technology, Statistics, Mathematics, Finance or related fields.

General Experience:

• At least 5 years' relevant experience in Analytical roles ideally within financial or FinTech institutions, including a minimum of 3 years in data science.

Skills
Data Collection, Analysis and Control:

• Works without supervision and provides technical guidance when required on analysing data trends for use in reports to help guide decision making.
• Works without supervision and provides technical guidance when required on acquiring, organising, protecting and processing data to fulfill business objectives.

Business Requirements Analysis:

• Works without supervision and provides technical guidance when required on analysing the business requirements that IT solutions must meet.
• Determine acceptance and evaluation criteria; Prioritisation; Observation; Focus groups; Analysis Skills.

Policy, Procedures and Compliance Management:

• Works without supervision and provides technical guidance when required on developing, monitoring, interpreting and understanding policies and procedures, while making sure they match organisational strategies and objectives.
• Works without supervision and provides technical guidance when required on achieving full compliance with applicable rules and regulations in management and operations.

Application Development:

• Works without supervision and provides technical guidance when required on developing software using programming languages.

Verbal and Written Communication:

• Uses clear and effective verbal and written communications skills without supervision and provides technical guidance when required on expressing ideas, requesting actions and formulating plans or policies.

Architecture:

• Works without supervision and provides technical guidance when required on designing architectures that meet system and service requirements.

Presentation skills:

• Needs guidance (but not supervision) to communicate with other people by speaking in a clear, concise and compelling manner.

Planning and Organising:

• Works without supervision and provides technical guidance when required on planning, organising, prioritising and overseeing activities to efficiently meet business objectives.

Review and Reporting:

• Works without supervision and provides technical guidance when required on reviewing and creating relevant, lucid and effective reports.

Data Mining and Machine Learning:

• Works with full competence to extract patterns from large amounts of data.
• Typically works without supervision and may provide technical guidance.

Customer Service Delivery:

• Works without supervision while providing technical guidance as needed on meeting high customer service standards.

Project Management:

• Works with guidance (but not constant supervision) to manage projects and Programmes within desired cost, time and quality parameters.
• Project Change Log / Register; Project Change Management Plan; Project Charter; Project Management Plan; Project Requirements Management Plan; Project Requirements Verification Plan; Project Resource Management Plan;
• Project Schedule; Project Schedule Baseline; Project Scope Statement.

Workflow Management:

• Works with full competence to orient work in a workflow to plan, organise, and execute the steps it takes to achieve a goal to achieve higher efficiencies.
• Typically works without supervision and may provide technical guidance.
• Kanban Board (Workflow Management); Workflow Management.

Business Data Modeling:

• Works with full competence to conduct activities to collect, analyse, diagram (model), and report information and data flow, including state changes, to help make strategic decisions, achieve major goals, and solve complex problems.
• Typically works without supervision and may provide technical guidance.

Metadata Management:

• Works with full competence to create and manage metadata systems and solutions to ensure information can be adequately found, shared, and maintained across an organisation.
• Typically works without supervision and may provide technical guidance.

Database User Interfaces and Queries:

• Works with full competence to create and run queries and interact with various database interfaces and query languages.
• Typically works without supervision and may provide technical guidance.

Application Closing Date
24th June, 2023.

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