Jobs at Safaricom Kenya

JOB DESCRIPTION

• Reporting to the Software Engineering Lead - Apps, the position holder will be required to develop and publish enterprise mobile applications in Android. They will collaborate with internal teams to develop functional mobile applications while working in a fast-paced environment, keeping up to date with new concepts and best practices for developing mobile applications, adopting Agile in DevOps and, team delivery.

RESPONSIBILITIES

• Architect, build and maintain excellent mobile applications with clean code
• Release applications to Google Play and Huawei App stores
• Design and implement user interface components for mobile applications using from prototypes and wireframes
• Write unit, UI, integration and automated tests to ensure error-free code, performance and quality
• Integration to RESTful APIs
• Work with Coroutines to improve performance of the mobile apps
• Identify, plan and implement new mobile products, applications and protocols
• Creating efficient data queries and communicating to back-end developers on API issues
• Build reusable code and libraries for future use
• Implement clean, modern, smooth animations and transitions that provide an excellent user experience
• Work with modern tools including Confluence, Jira, Slack, GitHub etc
• Reviewing application requirements and interface designs
• Documenting application changes and developing updates
• Collecting user feedback and optimization of operational experience
• On-going app support, debug and enhancement
• Remain up to date with the technologies, concepts, best practices and news of mobile applications development
• Work closely with colleagues to constantly innovate app functionality and design
• Communicate with users to understand their needs and experiences

QUALIFICATIONS

Qualifications

• Bachelor’s Degree in Computer Science or related field
• 3+ years of professional experience working with Android
• 4+ years of professional software development experience
• A very good understanding about mobile applications and programming languages such as Kotlin, Java, SqlLite, XML together with their mainstream IDEs such as Android Studio. 
• Knowledge in Swift, React Native, Flutter, Kotlin Multiplatform and Xcode is an added advantage
• A strong understanding on Single Activity and MVVM architecture patterns and Jetpack components like Navigation
• Experience in RESTful API integrations, Version Control (Git) and DevOps
• An understanding on Security Principles with regard to mobile applications and tech platforms
• Experience in developing Android applications
• A strong desire to learn and figure out how to create market leading user-friendly mobile applications
• Quick to adopt and willingness to work/deliver in a short period
• Ability to quickly absorb technical concepts and communicate them to a non-technical audience
• Passionate about robust code design
• Knowledge of UI/UX designs and wireframes
• Ability to create and maintain continuous integration and delivery of Android applications

Technical Skills

• Knowledge of functional and object-oriented programming
• Significant experience working with Kotlin along with tools like Dagger Hilt, Ktlint, Espresso and SonarQube
• Strong knowledge of Android fundamentals such as MVVM and Clean architectures, Paging, Navigation and LiveData
• Good knowledge of Architecture using Library and Dynamic Feature modules
• Ability to write well-documented, clean Kotlin code
• Understanding of Dependency Management using Version Catalog
• Familiarity with build tools like Gradle, Dexguard and Proguard
• Understanding of secure REST APIs, Websocket Connections, offline storage, and working with third-party libraries
• A complete understanding of the full mobile app development lifecycle right from prototyping
• Knowledge of type checking, unit testing and code debugging
• Knowledge of user interface design, responsive designs, animations and accessibility support
• Well-versed in a variety of Android software and technologies such as ESLint
• Experience with Firebase products and services
• Good troubleshooting skills

Non-Technical Skills

• A positive mindset and continuous-learning attitude
• Ability to solve issues and contribute to libraries as and when needed
• Experience working in an agile development environment
• Strong verbal and written communication skills to communicate strategy
• A collaborative approach to build apps and solve complex problems
• Attention to detail and problem-solving skills
• Client-focused approach with a goal of creating user-centric designs
• Good interpersonal, communication, and collaboration skills

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JOB DESCRIPTION

• The Cyber Security Architect role is responsible for defining, analyzing and periodically reviewing the cyber security strategy and roadmap based on the ever-evolving threat landscape and ensure risks identified are adequately mitigated. He/she will also architect and design cyber security systems in line with best practices to ensure they meet all requirements including adequate security, capacity and performance.
• Reporting to the Senior Manager, Cyber Security Strategy & Design, the successful candidate will lend support in ensuring all new and existing systems/products/services are designed and implemented in a secure manner to avoid or mitigate any risks/security threats encountered.

RESPONSIBILITIES

• Define, analyze and periodically review the cyber security strategy and roadmap based on the evolving threat landscape and ensure risks identified are mitigated
• Architect and design cyber security systems in line with best practices to ensure they meet user requirements including adequate security, capacity and performance.
• Define cyber security requirements and acceptance criteria for new systems
• Draft and evaluate RFIs/RFPs
• Liaise with Supply Chain in the procurement process
• Do the technical evaluations and PoCs (Ops team should also be involved in this)
• Select the best solution and present to the investment governance board
• Ensure all vendors have up-to-date contracts (contract management)
• Implement, Test, Deploy and Commission new systems                         
• Ensure proper change management and system handover processes are followed
• Recommend major upgrades where required and liaise with the operations team when doing the upgrades especially if it affects the design/architecture of the system
• Ensure all security technology and processes implemented are continually improved to maximize on their returns/benefits
• Manage all aspects of projects and vendor related issues in line with best practices
• Define metrics and report periodically that clearly demonstrate return on security investment (ROSI)
• Conduct research and development on new areas in security and present on them for sensitization and knowledge transfer to other team members/staff                                               
• Ensure all security systems implemented have high availability and disaster recovery in accordance with best practices

QUALIFICATIONS

• Degree in Information Security/Computer Science/Information Technology or other relevant Technical Degree
• Information security certifications e.g. CISSP, CISM, CISA, Comptia Security+
• Advanced Networking certifications e.g. CCNA, CCNP, Comptia Network+
• Certifications in Microsoft Windows and Linux/Unix Operating Systems e.g. Redhat, LPI, Comptia Linux+
• Demonstrate competency in the implementation and administration of various security tools e.g. Firewalls, Intrusion Prevention systems, Web application firewalls, Anti-DDOS, Antivirus, DLP etc…

Skills and Experience

• Minimum of 2 years’ experience in implementing and administering Cyber Security tools – e.g. Firewalls, Intrusion Prevent Systems, Web Application Firewalls, Content Filters, Endpoint protection, Data Leakage Prevention etc…
• Minimum of 2 years’ experience in IT Networks e.g.  Cisco, Fortinet, Checkpoint, Huawei etc…
• Minimum of 2 years’ experience with various Operating Systems e.g. Windows, Linux, Unix etc…
• Working knowledge of web technologies e.g. cPanel, Apache, PHP, Joomla, Wordpress and ASP will be an added advantage
• Working knowledge of databases e.g. Oracle, MSSQL, MySQL, Postgress SQL will be an added advantage
• Working knowledge of Virtualization Technologies e.g. VMWare, Openshift, Open Stack will be an added advantage
• Working knowledge and experience in DevOps and Microservices technologies i.e. Docker, Kubernetes, Jenkins, Gitlab/Github etc… will be an added advantage
• Working knowledge of Mobile and GSM technologies e.g. Android, IOS, 2G, 3G, LTE, USSD etc… will be an added advantage
• Working knowledge of encryption technologies e.g. PKI, HSM, PGP will be an added advantage

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JOB DESCRIPTION

• We are pleased to announce the Data Scientist, Gen AI vacancy in the AI tribe. In keeping with our current business needs, we are looking for a person who meets the criteria indicated below.

Brief Posting Description                

• The role holder will be responsible for building scalable AI systems and contribute to the democratization of AI across Safaricom. They will deliver the use-cases identified, while also building data science capacity within organization and business clusters they support. 
• The ideal candidate will be well versed with building AI  systems especially GenAI.

RESPONSIBILITIES

Below are the key skills and competencies required to be successful in this role:

Automated AI Modelling:

• Ability to creatively solve business problems by building AI systems.
• Ability to Constructively disrupt current business practices using Generative AI (GenAI).
• Designing and developing scaled (Gen)AI solutions.
• Show a propensity to collaboratively work with the larger team in the AI tribe to productionize AI algorithms.
• Being able & willing to stretch yourself to work on other multiple data science projects.
• Ability to test hypotheses from raw data sets, draw meaningful conclusions, and effectively communicate results verbally, in writing, and through effective visualization 
• Quantify improvements in business areas resulting from the use of algorithms and modelling through A/B testing

Statistical & ML Modelling:

• Demonstrate competency in utilizing advanced statistical and machine learning methods and technologies to deliver best-in-class models to support risk decision making.
• Developing code and automated processes to manipulate high volume, high dimensional data sources, including alternative data, to extract informative patterns, perform exploratory analyses and engineer useful features.
• Ability to develop machine learning & deployment of models and algorithms from large volumes of structured and/or unstructured data in a commercial /consumer environment in order solve real business problems, taking account of user needs and technology and operational landscape
• Identifying new analytics trends and opportunities to drive the innovation agenda across business functions 

Programming Languages and Big Data Technologies: 

Along with a strong knowledge of Big Data Technologies, the candidate should have:

• Practical skills in GIT version control.
• Strong hands-on programming skills in Python. Knowledge of SQL, Hadoop/Hive, Spark, and/or Scala.
• Proficient in  AI libraries in Python (e.g. H2O, SciPy and NLTK, PyTorch etc.) 
• Familiar with leading visualisation tools (e.g. Tableau, Qliksense, QuickSight)
• Cloud computing, especially AWS 

Behavioural Competencies:

• Ability to work cross functional teams to translate business issues into potential analytics solutions
•  Excellent communication skills with the ability to document solutions effectively.
• An analytical mindset to identify patterns and insights from data and business processes.
• The ability to collaborate with cross-functional teams to assess business needs and develop AI solutions.
• A self-driven and creative mindset to apply AI methods to solve real issues.
• Ability to provide effective leadership and guidance to junior data scientists
• A problem-solving aptitude.

QUALIFICATIONS

Experience & Education you should possess:

• A degree in Statistics, Mathematics, Data Science, Computer Science, or a related field.
• An MSc in a data science related discipline like Mathematics, Statistics, Computer Scientist or Engineering will be an added advantage.
• 5+ years of experience relevant to this role 
• Proven work experience in advanced Gen (AI) techniques, including prompt engineering, LLM implementation, and agent development, with a fundamental knowledge of inner workings.
• Experience in cloud technologies, generative AI techniques, will be an added advantage.
• Significant experience in machine learning & deployment of models and algorithms from large volumes of structured and/or unstructured data in a commercial /consumer environment 

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JOB DESCRIPTION

• We are pleased to announce the Data Scientist, Credit vacancy in the Big Data & Analytics Chapter. In keeping with our current business needs, we are looking for a person who meets the criteria indicated below.

Brief Posting Description                

• The role holder will be responsible for building scalable ML-based credit scorecards and AI systems to solve real-world problems within the credit risk space. The position will report to the Lead data scientist, receiving support to grow their craft and learn from industry experts.

RESPONSIBILITIES

Below are the key skills and competencies required to be successful in this role:

Automated AI Modelling:

• Ability to creatively solve business problems by building AI systems.
• Leverage understanding of credit processes (including credit origination, portfolio monitoring, credit line assignment, loss forecasting, and others) to design flexible, scalable, and automated modelling solutions.
• Show a propensity to collaboratively work with the larger team in the AI tribe to productionize AI algorithms.
• Being able & willing to stretch yourself to work on other data science projects outside of the credit space.
• Proactively disrupt current credit risk practices using Generative AI (GenAI).

Statistical & ML Modelling:

• Demonstrate competency in utilizing advanced statistical and machine learning methods and technologies to deliver best-in-class models to support risk decision making.
• Developing code and automated processes to manipulate high volume, high dimensional data sources, including alternative data, to extract informative patterns, perform exploratory analyses and engineer useful features.
• Experience computing and modelling PD, LGD, EAD, ECLs and general credit risk modelling and validation for IFRS 9

Programming Languages and Big Data Technologies: 

• Strong hands-on programming skills in Python and/or R.
• Solid hands-on knowledge of SQL
• Practical skills in GIT version control.
• Knowledge Hadoop/Hive, Spark, and/or Scala is a plus.
• Experience building data visualizations with be an added advantage.
• Experience in cloud technologies, generative AI techniques, will be an added advantage.

Behavioural Competencies:

• Proactively identify and communicate challenges, opportunities, and risks associated with project work to ensure timely completion of the entire product.
• A self-driven and creative mindset to apply AI methods to solve real issues.
• Ability to provide effective leadership and guidance to junior data scientists.
• Excellent communication skills with the ability to document solutions effectively.
• An analytical mindset to identify patterns and insights from data and business processes.
• The ability to collaborate with cross-functional teams to assess business needs and develop AI solutions.
• A problem-solving aptitude.

QUALIFICATIONS

Experience & Education you should possess:

• A degree in Statistics, Mathematics, Data Science, Computer Science, or a related field.
• At least 4 years of experience in building credit scorecards, AI systems within the credit risk space.
• Experience in cloud technologies, generative AI techniques, will be an added advantage.
• An MSc in a data science related discipline will be an added advantage.
• Work experience in a lending environment or fintech environment will be desirable