Market Related - Market Related
Data Scientist Digital Care must be available immediately to work on a fixed term contract.
Bachelor’s or Master’s Degree in quantitative fields like Mathematics, Statistics, Economics, Computer Science
Engineering, Artificial Intelligence, Social Sciences, Data Journalism, or related fields essential and
A minimum of 3 years relevant experience in Data Science.
Experience in data manipulation: use of structured data tools (e.g., SQL), and platforms (e.g., Hadoop, Spark, NoSQL)
Proficiency in at least one relevant programming language: Python, R
Experience in major machine learning modelling libraries (e.g., H2O, scikit-learn, PyTorch) and techniques (e.g. random
forest, gradient boosting, k-means segmentation, multiple regression, factor analysis, time-series forecasting)
Familiarity with visualisation tools (e.g. Tableau, Qlik, D3)
Exposure/interest in machine learning
Professional and/or academic experience in Bi g Data analytics & deployment of models and algorithms to solve real-world
Working with senior data scientists to create Advanced Analytics products that provide actionable business insight to its stakeholders.
Developing predictive models with senior data scientists with large and varied datasets, working with a community of colleagues across Advanced Analytics, technology, and data and customer functions.
Contributing to the wider community to enable an Advanced analytics capability across globally.
Development of machine learning models for various areas of the business on the Big Data Platform
Development of prototype code in e .g. PySpark for automated training and scoring of the machine learning models
Machine Learning Model performance tracking and reporting using e.g. Qlik
Uses data visualisation to engage audience in a compelling way, enabling effective storytelling
Work with senior data scientist to deliver key packages of work to meet the needs of business customers
Works in partnership with Big Data Engineering for data ingestion to support use cases
Works in partnership with Big Data Production Data Engineering for model automation and productionising
Vacancy Type: Temporary