Data Scientist, Python

As a Data Scientist, youll bring together statistical, mathematical, machine-learning and software engineering skills to consider multiple solutions, techniques and algorithms to develop and implement ethically sound models end-to-end. Well look to you to understand the needs of business stakeholders, form hypotheses and identify suitable data and analytics solutions to meet those needs in order to support the achievement of our business strategy.

Youll also be:

• Using data translation skills to work closely with business stakeholders to define detailed business questions, problems or opportunities which can be supported through analytics
• Applying a software engineering and product development lens to business problems, creating, scaling and deploying software driven products and services
• Working in an Agile way within multi-disciplinary data and analytics teams to achieve agreed project and scrum outcomes
• Selecting, building, training and testing machine learning models considering model valuation, model risk, governance and ethics, making sure that models are ready to implement and scale
• Iteratively building and prototyping data analysis pipelines to provide insights that will ultimately lead to production deployment

Youll need a strong academic background in a STEM discipline such as Mathematics, Physics, Engineering or Computer Science. Youll have experience with statistical modelling and machine learning techniques.

You'll need at least five years of experience in Python, NLP and SQL. You'll also need experience in machine and deep learning and experience in at least one of the algorithms like Logistic Regression or KNN or Random Forest.

Youll also demonstrate:

• The ability to use data to solve business problems from hypotheses through to resolution
• Experience using programming language and software engineering fundamentals
• Experience of Cloud applications and options
• Experience in synthesising, translating and visualising data and insights for key stakeholders
• Experience of exploratory data analysis
• Good communication skills with the ability to proactively engage with a wide range of stakeholders