Data Scientist Job vacancy is open at Stanbic IBTC Bank Limited. The Data Scientist job vacancy is for those that are interested in working with Stanbic IBTC Bank limited and those graduates must base or their location is in Lagos Nigeria. Details of the job are explained below
- Compny: Stanbic IBTC Bank
- Location: Lagos, Nigeria
- Posted Date: Oct 18, 2017
- Job Type: Full time Banking
Data Scientist Job Description
Stanbic IBTC Bank ongoing recruitment for suitable and qualified applicants to fill the position of Data Scientist .
The Position is based in Nigeria.
Job ID: 28192
Location: Lagos Island, Lagos
Job Sector: Information Technology and Services
Data Scientist Job Details
Information Technology: systems development, business analysis, architecture, project management, data warehousing, infrastructure, maintenance and production
Data Scientist Job Purpose
To create and deliver data-driven measurement, analytics, insights and analysis to provide value to a portfolio of business areas, including next-best action, segmentation, churn, life time value, or loyalty analysis and modelling in order to enable optimal decision making.
To analyse, model and predict key parameters, trends and customer behaviours, taking into account the economic environment, seasonality, business cycles, knowledge of clientele, pricing and key business strategies.
To create high-quality leads by building analytical models to predict individual customer needs, preferences, behaviour, risk and other key parameters.
Data Scientist Key Responsibilities/Accountabilities
Interpret data, analyse results using statistical techniques and modelling:
Selecting features, building and optimizing classifiers using machine learning techniques
Data mining using state-of-the-art methods
Enhancing data collection procedures to include information that is relevant for building analytic systems
Processing, cleansing, and verifying the integrity of data used for analysis
Doing ad-hoc analysis and presenting results in a clear manner
Creating automated anomaly detection systems and constant tracking of its performance
Adopt analytic models and create actionable insights:
Cross / up-sell modelling
Retention/churn/attrition analysis and modelling
Income estimation modelling.
Customer life time value modelling
Channel preference modelling
Manage the end-to-end process of individual model development, from initial consultation with the relevant business units to delivery of final presentation and implementation of regular scoring of customers
Data management and Critical business support:
Provide critical support to business using other data-driven analytics, such as data-based customer segmentation and identification of key trends in customer behaviour across channel, product and segment
Keep abreast of latest developments in predictive modelling and optimization
Business area: SIBTC Group
Job: Provide Service
Nature of relationship: Provide and receive a service
Sphere of influence: Impact the whole Group
Description or examples: Financial and customer data modelling
Role type of external contact: Vendors
Nature of relationship: Manage the relationship
Description or examples: Third Party Service
Preferred Qualification and Experience
Minimum of B.Sc/B.Com Honours degree in Statistics, Mathematics, Operations Research, Mathematics of Finance or equivalent Actuarial degree, or subject with appropriate statistical content
Masters or higher degrees preferred
Job Family: Analyst
3-4 years experience in knowledge discovery and data-mining, In-depth involvement in propensity, attrition, next-
Job Function: Business Support:
Job Family: Business
3-4 years experience in customer intelligence role (within a financial institution, or other business-to-business environments dealing with large business units).
Experience in translating models into deliverables and insights and implementing them in an operational environment
Competency Description: SAS or equivalent data/analytic software systems (expert). SAS certification or extensive experience (3+ years) is desirable
Competency Description: Ability to combine conceptual/abstract thinking with a practical sensibility to ensure that projects add value to business stakeholders
Competency Description: Ability to prioritise activities within allocated time frames
Competency Description: Quick to assimilate and integrate new information. Supports internal stakeholders in making business decisions by providing the necessary analytics.