Mid-level Information technology, software development, data jobs in Ngewa, Kenya

18 jobs found

Family Bank Kenya

Data Scientist

Nairobi Kenya
Closed for applications
Smoothtel Kenya

ICT Security & Structured Cabling Technician

Nairobi Kenya
Closed for applications
Aga Khan Hospitals

Field Data Supervisor, LOSHAK, Population Health

Nairobi Kenya
Closed for applications
Prime Bank

SOC Manager

Nairobi Kenya
Closed for applications
Prime Bank

SOC Analyst

Nairobi Kenya
Closed for applications
Prime Bank

Security Architect

Nairobi Kenya
Closed for applications
Fireside Group Ltd

OSP Technicia- Nairobi

Nairobi Kenya
Closed for applications
Kenyatta University

Information Systems Auditor

Nairobi Kenya
Closed for applications
Oasis Outsourcing

Network Operations Center (NOC) Engineer – Tier 3

Nairobi Kenya
Closed for applications

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UNEP

Digital Project Manager/ Coordinator, Nairobi, Kenya

Nairobi Kenya
Closed for applications

Country / Region

Seniority (Information technology, software development, data)

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Family Bank Kenya

Banking + 2 more

Data Scientist

Closed for applications
Job details

Contract Type

Description

The Person:

  • The ideal candidate must possess the following:

Qualifications/Experience:

  • Graduate degree in Computer Science, Mathematics, Physics, Statistics, Engineering, Informatics, Information Systems or another quantitative.
  • Advanced working SQL knowledge and experience working with relational databases, query authoring
  • (SQL) as well as working familiarity with a variety of databases
  • Experience with Python or R.
  • Experience with object-oriented/object function scripting languages.
  • 2-5 years’ experience in technology/data analytics


Responsibilities
  • Enterprise level data hub: Collaborate with Engineering to develop and enrich enterprise level analytical platform.
  • Analytical Models: Design and launch innovative and complex analytical models to drive optimization and improvement of product development, Marketing techniques, risk management and business strategies.
  • Machine learning algorithm development: Understand of machine learning algorithms and their applications in areas banking.
  • Any other official duty that may be allocated from time to time.


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