Job Description
In our world, things change by the millisecond. We build the technology that creates amazing moments and better connects our customers.
Working towards the same shared goal of better connectivity, our tech teams enjoy a high degree of autonomy. We love hearing ideas and seeing them come to life.
Key Responsibilities:
* Create and work with large digital datasets to extract value and insights
* Use statistical and data science techniques to explore data and identify patterns and trends
* Process, join and analyse data sources to create features which feed into analytical and machine learning pipelines
* Build predictive models and data science solutions
* Collaborate with various teams to understand their data needs and help them make informed decisions based on data insights
* Conduct deep dive analyses and make recommendations to help with business decision-making
* Create dashboards to visualise insights for stakeholders
Requirements:
* Degree in a quantitative discipline such as Mathematics, Statistics, Computer Science
* Solid understanding of statistics, machine learning and data science principles
* Experience in processing, analysing and extracting value from large datasets containing both structured and unstructured data
* Proven experience in Python and SQL
* Experience working with web analytics data (Adobe/Google Analytics) is desirable
* Familiarity with reporting and visualisation tools (e.g. Tableau, Power BI, Cognos)
* Excellent communication and stakeholder & project management skills
* Ability to explain technical concepts to non-technical audiences
Benefits:
* Flexible working with our new Hybrid model, our employees will enjoy more flexibility working from home and our office locations (2/3 days per week office based)
* Competitive salary, annual performance bonus & pension contribution
* 25 days holidays plus 2.5 company days Annual Leave buy or sell (buy or sell up to 5 days AL each year)
* Healthcare Insurance through our flexible benefits programme
* Life assurance, phone & laptop, subsidized canteen
* Access to learning & development tools such as Linked In Learning
* Free on-site parking