Business Analyst acting as a critical link between business and technical teams at Vodafone. Involves gathering requirements and ensuring technical specifications in telecom projects.
About the role
- Associate Data Scientist developing data science models for water optimisation and supporting data-driven decision-making across the business. Collaborating with data scientists and analysts to create actionable insights.
Responsibilities
- Develop Data Science Models (40%)
- Work alongside data scientists, analysts, and subject matter experts to build statistical and predictive models
- Carry out exploratory analysis, including data mining, univariate analysis and empirical data analysis, to understand business problems
- Apply machine learning techniques such as linear/logistic regression, decision trees and neural networks
- Validate models using appropriate performance and accuracy metrics
- Turn complex data into clear, engaging insights and visualisations tailored to your audience
- Data Engineering & Manipulation (40%)
- Identify, clean and prepare datasets for use in data science products
- Build reusable processes and automated checks for repeatable data preparation tasks
- Create and maintain data pipelines for developing and testing operational data science products
- Work closely with Enterprise Data Engineers to promote proven products into production environments
- Grow Your Data Science Capability (20%)
- Take responsibility for your development by staying curious, researching new data science methods, and asking the right questions
- Learn and adopt data science norms and best practices
- Build your capability in programming, analytics, and data products through hands-on experience and mentoring
Requirements
- A foundational understanding of data science techniques and tools
- Experience working with datasets, cleaning and manipulating data, and building basic models
- Skills in Python, R or similar programming languages
- Experience working with cloud-based data platforms such as Azure & Databricks
- A keen eye for detail and strong problem-solving abilities
- The ability to translate data into meaningful insights through visualisation
- A growth mindset and an eagerness to learn from others
- A BSc or MSc in Data Science, Computer Science, Statistics, Mathematics or a related discipline, or equivalent relevant work experience is required
Benefits
- Full private healthcare with no excess
- 26 days leave, rising with service + Bank Holidays, with the option to swap Christmas and Easter holidays for those celebrated by your religion
- A flexible working culture
- Competitive pension scheme – we double-match your contributions up to 6%
- Life Assurance at eight times your salary
- Personal Accident cover – up to 5x your salary
- Bonus Scheme
- Lots of great discounts
- Flexible benefits to support your wellbeing and lifestyle
- Paid time off when you’re physically and mentally unwell
- An excellent Family Leave package – to help you support your family
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