You will
- Develops Machine Learning and AI models that are scaled and replicated across markets
- Use a variety of datasets to test the hypothesis, discover hidden relationships and provide actionable insights
- Design, develop and test analytical models to industrialise insight into operations
- Use data visualisation to engage audiences in a compelling way
- Contributes to the development of self and others across the global community
It would be nice if you have…
- Professional and/or academic experience in machine learning & deployment of models and algorithms to solve real-world problems
- Deep statistical modelling expertise
- Experience manipulating and analysing large and complex datasets
- Experience in visualisation and in creating interactive displays of data that clearly communicate insight
- Good interpersonal and presentation skills and ability to work in a fast-paced environment across multinational teams
You must have…
- Bachelor’s or Master’s Degree in a quantitative field
- Expertise in data manipulation: use of structured data tools (e.g., SQL), & unstructured data tools and platforms (e.g., Hadoop, Spark, NoSQL)
- Proficiency in Python and one more language would it preferred
- Expertise in major statistical modelling software packages and multivariate techniques (e.g. clustering, regression, classification, time-series forecasting)
- Familiarity with visualisation tools (e.g. Tableau, Qlik, D3)
What’s in it for you?
- 28 days holiday (with the option to buy or sell 5 days) plus public holidays
- Flexible working
- Pension matching scheme of up to 10%
- 5 paid days leave for charity projects
- MyChoices portal – cycle to work scheme, 100’s of retail discounts, shares and salary sacrifice schemes
- Vodafone family and friends discount
- Interest-free commuter loan
- An enhanced Parental leave policy for non-birthing partners coming by April 2021includes 16 weeks fully paid leave and upon returning to work, new parents can work part-time hours for 6 months whilst be paid their full-time salary
- Access to Vodafone University and LinkedIn Learning
Their commitment
Vodafone is committed to attracting, developing and retaining the best people by offering a flexible, motivating and inclusive workplace in which talent is truly recognised, developed and rewarded. They believe that diversity plays an important role in the success of their business and they are committed to creating an inclusive work environment which respects, values, celebrates and makes the most of people’s individual differences – they are not only multinational but multicultural too.
Get to know them better here and find out what life at Vodafone could be like for you.
https://careers.vodafone.com/content/Life-at-Vodafone/
Please contact group.resourcing@vodafone.com for any application-related enquiries.
The future is exciting. Ready?
#groupresourcing
Job Responsibilities
- Influences strategic decision making related to key predictive models, statistical models and machine learning-based tools and supports senior managers in the delivery of data science solutions for complex commercial requirements;
- Ensures Big Data solutions comply with data privacy laws;
- Leads the delivery of key packages of work, on time and in a collaborative manner to meet the needs of business customers ;
- Leads monitoring and optimizing the performance of developed models by driving experiments, benchmarking, etc;
- Leads colleagues in using a variety of datasets to test hypotheses, discover hidden relationships and provide actionable insights to Vodafone’s businesses;
- Leads colleagues in using data visualisation to engage the audience in a compelling way, enabling effective storytelling;
- Provides deep technical analytics and data expertise to the business and other Data Scientists, using a wide variety of available data, to solve complex business problems;
- Uses advanced analytical thought to model techniques, algorithms and tune, modify and implement changes to address complex and different business problems/questions;
- Builds strong relations and interacts closely with stakeholders across the business to advise and help solve complex problems, including Engineering teams, Technology partners, Business Intelligence and Legal;
- Demonstrates strong communication skills, influencing the exchange of ideas and information in a concise and logical way to reach the desired solutions;
- May mentor junior staff;
- May have accountability for the budget in the area;
Skills
Data Modelling
Data Visualisation
Data Analytics and Insights
Data Management and Transformation
AI – Deep and Machine Learning
