Specialist Data Scientist - Johannesburg, South Africa - Absa Bank Limited

Absa Bank Limited

Verified Company

Johannesburg, South Africa

1 week ago

Posted by:

Thabo Mthembu

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Description

Bring your possibility to life Define your career with us

With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.

Job Summary

Leverage deep data science expertise in advanced statistics, data wrangling, data mining, data analysis, feature engineering &predictive modeling, storytelling, distributed computing & data visualisation, machine learning tools & data intuition to define, build, operationalize & continuously improve data solutions that deliver relevant, quality assured, accurate & commercially impactful data to the business.

Job Description:

BRIEF OVERVIEW OF THE SPECIFIC BUSINESS UNIT:

Absa Vehicle and Asset Finance has been on a healthy growth trajectory to reclaim its leadership spot in the vehicle finance space.

The analytics team, working alongside strategy, has been playing an active role in shaping the
_how_ of bringing this possibility to life.

The team is currently engaged in several initiatives in the exploratory and advanced analytics space, to leverage the data that our engineering team has worked tirelessly to store in an easier to access format - hence enabling you to do what you do best

BRIEF OVERVIEW OF THE ROLE:
While we have a healthy book of work and plenty of problems to intellectually challenge our newest team member, we maintain much-needed flexibility for analysts to take on projects that they identify in the business as well

KEY RESPONSIBILITIES:

Participate in design thinking processes to determine & confirm hypotheses and priority questions / data challenges & related metrics to be solved for
Translate business questions to be solved into data requirements & define a data solutions to deliver against these requirements
Proactively partner with the data engineering team to refine the data requirements deliver raw data to Data Science teams for interpretation & analysis
Design fit for purpose data interpretation & analysis approaches & create customized data models, algorithms, machine learning tools and recommendation engines to achieve the desired business outcomes
Use advanced data science skills to mine & interpret data.

These include but are not limited to:
advanced statistics, data wrangling, data mining, data analysis, feature engineering & predictive modeling, distributed computing, machine learning tools & data intuition

Analyse & interpret complex data sets
Produce business insights and recommendations based on data analysis & modeling concluded & where relevant with knowledge and experience of e.g. Python, R, Hadoop & Apache Spark
Use storytelling and data visualization techniques to maximize impact & deliver a user friendly product to business
Contribute to the consolidation of data solutions into viable end products (in the language of business) that can be leveraged on an ongoing basis e.g. dashboards, reports etc.
Present data analysis (trends, insights, forecasts) & findings to business & show tangible business impact to be derived from the data science process
Facilitate peer reviews & feedback on data solutions
Refine data analysis based on business & peer reviews
Contribute to the assessments of the effectiveness and accuracy of new data sources & data gathering techniques
Promote data literacy with your business stakeholders by sharing best practices and showing tangible business impact & recommendations as a direct result of the the data solutions provided
Stay ahead of the curve on data science trends & leading practice data science tools and techniques & transition the organisation to advanced methods for the continuous optimization of data

Accountability:
People