Interswitch Group is currently recruiting interested and qualified applicants for the position of Data Scientist in Nigeria. Learn about the job responsibilities, qualifications/eligibility and how to apply.
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.
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.
Education
General Education - University First Degree in Computer Science, Information Technology,
Statistics, Mathematics, Finance or related fields.
Experience
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.
Method
of Application
Interested and
qualified applicants should follow the link below to submit CV and application
letter.
Department:
Purepay - Transaction Switching & Payment Processing
Location:
Lagos Office   | Permanent, Nigeria
Application
Deadline: June 24, 2023
>> CLICK HERE TO
APPLY ONLINE
 
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