
Vodafone
Specialist: Big Data and AI Project
Location: Iringa, Tanzania, United Republic of
Location flexibility: Office based
Job Description
Role Purpose & Key Responsibilities
Role purpose:
- Creating AI systems for product monetization, productivity and customer service excellence.
- Implementing big data projects and data science initiatives.
- Delivering actionable insights to support and contribute toward the delivery of business objectives and targets.
- Contributing to the wider AI community to support and advance Machine Learning capability across Vodafone globally
Key accountabilities and decision ownership
- Identify, analyse and interpret trends and patterns in complex data sets.
- Support the extraction of data (ETL) from multiple sources to build domain-oriented lakehouses.
- Manage E2E go to market execution of big data, AI and special projects initiatives.
- Implement machine learning models for various areas of the business on MLOPs.
Communicate analytics and ML model use cases and results to business users
Qualifications, Competencies, Knowledge and Experience
- 2+ years of experience in similar big data and data science role.
- Degree in quantitative fields like Mathematics, Statistics, Economics, Actuarial science, Computer Science or Engineering, Artificial Intelligence or related fields.
- Knowledge of customer driven marketing techniques and processes
- Proficiency in Python and associated data Science ecosystem, Machine Learning and Experiments Design.
- Expertise in data manipulation: use of structured data tools (e.g., SQL) and unstructured data tools and platforms (e.g., Hadoop, Spark)
- Project knowledge and experience would be advantageous.
- Excellent analytical and causal reasoning skills.
- Excellent communication and presentation skills
- Strong data management skills
- Ability to anticipate customer, competitor and market dynamics and propose commercial actions proactively.
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Working at Vodafone

2 office days / week

A little flex time
Company benefits
UK (28), India (22), Egypt (21), Hungary (20), Romania (20), Albania (22), Turkey (14) days annual leave + bank holidays
Work from anywhere scheme – work for up to 20 days/year abroad (dependant on country)
Annual bonus – dependant on company performance
Employee discounts
Personal development days – once per quarter
Learning platform – access to Harvard Business Publishing, MIT Horizon and Skillsoft
Enhanced maternity leave – 16 weeks (paid) with a phased return to work over 6 months
Enhanced paternity leave – 16 weeks (paid) with a phased return to work over 6 months
Volunteer days – up to 5 days
Coaching – access to a free certified internal pool of coaches
Mentoring
Carer’s leave
Adoption leave – 16 weeks (paid) with a phased return to work over 6 months
Enhanced sick days
Mental health platform access
Mental health first aiders
Employee assistance programme
Complimentary Medical Services – 24/7 online doctor service
Compassionate leave
Home office set up
Buddy scheme
Referral bonus
Early finish Fridays
Buy or sell annual leave
Cycle to work scheme
Life insurance
Sabbaticals
Salary sacrifice
Share options
Teambuilding days
Faith rooms
Enhanced pension match/contribution
Learning license
