Data Scientist

Join us as a Data Scientist

In this role, you’ll drive and embed the design and implementation of data science tools and methods, which harness our data to drive market-leading purpose customer solutions

Day-to-day, you’ll act as a subject matter expert and articulate advanced data and analytics opportunities, bringing them to life through data visualisation

If you’re ready for a new challenge, and are interested in identifying opportunities to support external customers by using your data science expertise, this could be the role for you

What you’ll do

We’re looking for someone to understand the requirements and needs of our business stakeholders. You’ll develop good relationships with them, form hypotheses, and identify suitable data and analytics solutions to meet their needs and to achieve our business strategy.

You’ll be maintaining and developing external curiosity around new and emerging trends within data science, keeping up to date with emerging trends and tooling and sharing updates within and outside of the team.

You’ll also be responsible for:

Developing complex Machine Learning and Natural Language Processing (NLP) models

Participating in Generative AI experiments

Proactively bringing together statistical, mathematical, machine-learning and software engineering skills to consider multiple solutions, techniques, and algorithms

Implementing ethically sound models end-to-end and applying software engineering and a product development lens to complex business problems

Working with and leading both direct reports and wider teams in an Agile way within multi-disciplinary data to achieve agreed project and Scrum outcomes

Using your data translation skills to work closely with business stakeholders to define business questions, problems or opportunities that can be supported through advanced analytics

The skills you’ll need

To be successful in this role, you’ll need evidence of project implementation and work experience gained in a data-analysis-related field as part of a multi-disciplinary team. We’ll also expect you to hold an undergraduate or a master’s degree in a quantitative discipline, or evidence of equivalent practical experience.

You’ll also need experience with statistical software, database languages, big data technologies, cloud environments and machine learning on large data sets. And we’ll look to you to bring the ability to demonstrate leadership, self-direction and a willingness to both teach others and learn new techniques. Experience within a cloud data science environment, such as AWS Sagemaker would be beneficial

Additionally, you’ll need:

Proficiency with Python and commonly used data science libraries such as pandas, scikit-learn and, langchain

Significant experience with SQL

In-depth knowledge of NLP algorithms such as topic detection, sentiment analysis and, generative models

Experience of deploying machine learning models into a production environment

Experience of articulating and translating business questions and using statistical techniques to arrive at an answer using available data

Effective verbal and written communication skills and the ability to adapt communication style to a specific audience

Extensive work experience, including expertise with statistical data analysis, such as linear models, multivariate analysis, stochastic models, and sampling methods