Career Opportunities at Safaricom

We are pleased to announce the following opportunity in the Big Data and Business Analytics Department within the Strategy and Innovation Division.   In keeping with our current business needs, we are looking for persons who meets the criteria indicated below.

Brief Description

Reporting to the Head of Big Data & Business Analytics, the position holder will lead the data science team to create value from Safaricom’s vast amount and variety of data using advance analytical and statistical methods and models to answer complex business questions. This will serve to aid in decision making, unlock new revenue opportunities and areas to create efficiency through deep insights. The role requires deployment of Artificial Intelligence driven by Safaricom’s data to create Machine learning models and solutions to deliver specific business relevant use cases.  Safaricom is investing heavily in big data and this will be a truly exciting role in view of the organizations unique data set and position in this region.

Key Responsibilities

• Data mining using state-of-the-art methods
• Selecting features, building and optimizing classifiers using machine learning techniques
• Processing, cleansing, and verifying the integrity of data used for analysis
• Collaborate with business units and engineering teams to understand and prioritize company needs and devise possible solutions based on business use cases
• Create various machine learning-based tools or processes within the company, such as recommendation engines or automated lead scoring systems to drive revenue or create cost efficiencies
• Create visualizations using state of the art visualization tools
• Lead and manage data science team

Qualifications

• BSC. or MS. in Computer Science, Statistics, Mathematics or equivalent practical experience
• 5 – 8 years data science working experience and with a leadership role.
• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests
• Experience with common data science toolkits, such as R, Weka, NumPy, MatLab
• Experience with data visualization tools, such as D3.js, GGplot
• Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
• Good applied statistics skills, such as distributions, statistical testing, regression
• Good scripting and programming skills
• Good understanding of big data technologies like Hadoop
• Strong communications and interpersonal skills and quick grasps to understand business problems

Additional Information

As part of our recruitment process we will request the below documentation which will be required as soft copies at a later stage of the process;

• An updated CV with a confirmation of three referees- 2 must be professional and must have supervised you at some point, the other referee can be a colleague in the same professional field. If the referees are within the same organization that you are working with, you will need to confirm to us that it’s okay to contact them in writing (via email). This also includes all references within the Human Resources department.
• Scanned copy of certificate of good conduct from the CID (Less than 1 year old) – Applicable to Kenyans Only
• Scanned copy of certificate from Credit Reference Bureau (CRB) – Applicable to Kenyans Only
• Scanned copy of University Certificate or letter from the University requesting for internship
• Scanned copy of your National ID / Passport –  Legal Form of Identification

go to method of application »

We are pleased to announce the following vacancy in the Distribution Channel department within the Regional Sales Operations Division. In keeping with our current
business needs, we are looking for a person who meets the criteria indicated below.

Reporting to the Senior Manager; Dealer management, the individual will champion Dealer Channel sell-in and Relationship Management to ensure sustained Dealer channel productivity and growth. This by extension includes influencing dealer investments and support to meet the diverse needs of our customers. The Individual will also support the regional teams in championing Dealers engagements.

Job Responsibilities

• Deliver airtime sales revenue targets (or any other product assigned to the dealers through assign Dealer.
• Develop, train & motivate Assigned dealers to enhance effective distribution practices in the market
• Ensure compliance of dealer operating standards and contracts.
• Drive Channel Development through effective growth plans for both product sales and Distribution resources (Dealer Outlets/ Motorbikes and DSAs).
• Manage Safaricom Relationship with the assigned dealers to ensure optimum channel Support, productivity and long term sustainability.
• Ensure highest level of integrity especially in dealing with dealers through reinforcing high ethical and compliance standards in the sales and distribution process
• Ensure accurate and prompt communication with Dealers on issues affecting them or impacting our customers.
• Drive adoption of any programs/ Products assigned to dealers.
• Monitor and manage dealer performance.
• End to End management of Dealer head offices including driving any changes and developments required of the dealer.

Job Qualifications

• Degree in a business related discipline
• Work experience of 4-5 years preferably in a Business Development role
• Experience working with Dealers and M-PESA agents will be an added advantage
• Strong relationship building skills.
• Strong Business development and Sales Skills
• Demonstrated record of Business Development & Sales Planning
• Ability to deliver results, meet and surpass targets.
• Ability to resolve Partner Issues and maintain high engagement during and after.
• Solution Selling capability
• Negotiation Skills
• Find’s creative ways to exploit opportunities and solve problems
• Responds flexibly to changing situations and manages the business to drive performance
• Ability to Focus on achieving maximum performance and driving continuous improvement

go to method of application »

We are pleased to announce the following opportunity in the Big Data and Business Analytics Department within the Strategy and Innovation Division. In keeping with our current business needs, we are looking for persons who meets the criteria indicated below.

Brief Description

Reporting to the Lead Data Scientist, the position holder will create value from Safaricom’s vast amount and variety of data using advance analytical and statistical methods and models to answer complex business questions. This will serve to aid in decision making, unlock new revenue opportunities and areas to create efficiency. The role requires deployment of Artificial Intelligence driven by Safaricom’s data to create Machine learning models and solutions to deliver specific business relevant use cases. Safaricom is investing heavily in big data and this will be a truly exciting role in view of the organizations unique data set and position in this region.

Key Responsibilities

• Data mining using state-of-the-art methods
• Selecting features, building and optimizing classifiers using machine learning techniques
• Processing, cleansing, and verifying the integrity of data used for analysis
• Collaborate with business units and engineering teams to understand and prioritize company needs and devise possible solutions based on business use cases
• Create various machine learning-based tools or processes within the company, such as recommendation engines or automated lead scoring systems to drive revenue or create cost efficiencies
• Create visualizations using state of the art visualization tools
• BSC. in Computer Science, Statistics, Mathematics or equivalent practical experience
• 1 – 2 years data science working experience and with a leadership role.
• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests
• Experience with common data science toolkits, such as R, Weka, NumPy, MatLab
• Experience with data visualization tools, such as D3.js, GGplot
• Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
• Good applied statistics skills, such as distributions, statistical testing and regression
• Good scripting and programming skills
• Good understanding of big data technologies like Hadoop
• Strong communications and interpersonal skills and quick grasps to understand business problems

Additional Information

As part of our recruitment process we will request the below documentation which will be required as soft copies at a later stage of the process:

• An updated CV with a confirmation of three referees- 2 must be professional and must have supervised you at some point, the other referee can be a colleague in the same professional field. If the referees are within the same organization that you are working with, you will need to confirm to us that it’s okay to contact them in writing (via email). This also includes all references within the Human Resources department.
• Scanned copy of certificate of good conduct from the CID (Less than 1 year old) – Applicable to Kenyans Only
• Scanned copy of certificate from Credit Reference Bureau (CRB) – Applicable to Kenyans Only
• Scanned copy of University Certificate or letter from the University requesting for internship
• Scanned copy of your National ID / Passport – Legal Form of Identification