Data Scientist

2 weeks ago

Sandton, South Africa Discovery Ltd. Full time

Business Unit:
Discovery Central Services
Function:Data Sciences
Date:12-Apr-2023
Job Details

Job Title

  • Data Scientist

Department

Location

  • Sandton

Discovery Track

  • Specialist Generalist/Management

Discovery Job Level

  • Specialist

Job Family

Date of Job Profile

  • Feb 2018

Job Profile Status

  • Final

Job Code

FAIS Job Code

  • Not Applicable

Employment Class

  • Permanent

About Discovery
Discovery's core purpose is to make people healthier and to enhance and protect their lives.

We seek out and invest in exceptional individuals who understand and support our core purpose, and whose own values align with those of Discovery.

Our fast-paced and dynamic environment enables smart, self-driven people to be their best.

As global thought leaders, Discovery is passionate about innovating in order to not only achieve financial success, but to ignite positive and meaningful change within our society.


About Discovery Bank


Discovery's intention is to expand our business model into banking and to establish a brilliant, innovative full-service retail bank in South Africa.

We have recently received our banking licence and are now registered as Discovery Bank.


We are looking for smart, energetic, experienced and dynamic achievers who take initiative and ownership, are passionate about dazzling clients, and who thrive on constant challenges and high-speed change to join us on this journey.


Job Purpose

  • The
-
Data Scientist provides a range of analytical solutions and results to business & key-stakeholders by correctly interpreting the results and the data and translating that to business.
  • Key Outcomes may include but are not limited to:
  • Identifies appropriate models / algorithms to mine large datasets and develop rich insights into member behaviour. Data decoration.
  • Identifies key trends in large datasets and interacts with business to understand the impact of these trends and identifies possible actions to mitigate or take advantage of the trends identified. Sources and provides customized data to the business.
  • Performs analyses to understand member behaviour, financial risks and profitability.
  • Analyses and presents data in a way that provides actionable insights, by presenting findings in a practical and interpretable way for the business. Improves processes and databases where opportunities arise.
  • Researches new technologies and methods that are relevant to the business.

Special Conditions

Special Requirements

  • None
  • Person Details
    Work Experience

Required

  • At least 1 to 3 years working experience in an analytical, quantitative or data science team in financial or Research & Development industry.
**Preferred

  • At least 1 to 5 working in financial services would be advantageous.

Education / Qualifications / Accreditations with Professional Body

Required

  • Master's Degree in either Data Science, Statistics, Economics or Maths and Finance. Other analytical qualifications will also be considered such as Computer Science or Engineering.

Preferred (would be advantageous)

  • None

Technical Skills or Knowledge

Required

  • Advanced SQL
  • MS Office with advanced Excel
  • Python, Java, R or other freeware with advanced Visualisation techniques and Text analysis

Preferred (would be advantageous)

  • Knowledge of machine learning preferable
  • Basic Scala, Spark or Java skills are preferable.
  • Above average ability to work with, analyse and report on data.
  • Ability to source data from both structured and unstructured sources with some understanding of workings of Hadoop and/or Casandra and Kafka.
  • EMPLOYMENT EQUITY
The Company's approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.

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