Data Scientist (6710)

No matter where you are in your career – or where you want to be – we’re here to create a great place to work where you can grow, perform and love what you do. At Cromwell, we’re all individuals, with unique backgrounds and personalities. But we have one thing in common: delivering exceptional service for our customers. And we do this through our purpose of Keeping Industry Working .

We now have a fantastic opportunity available to join us as a Data Scientist within our Data department.

As a problem solver with a creative approach to data solutions & who is passionate about developing successful data solutions, the Data Scientist will work with business stakeholders to implement data-driven projects & workflows within the business.

A successful candidate will have creative approach to data solutions and is passionate about applying data solutions & workflows to enable strategic business decision-making by working with key business stakeholders. This role is perfect for someone who has a proven track-record in the application of data science techniques in a business setting & wants to enhance their skills in a fast-paced business environment.

Role Responsibilities

As a Data Scientist you will be responsible for:

Driving data within Cromwell
Data set generation, feature engineering & developing ML models that are repeatable, dynamic, and scalable.
Developing, monitoring & maintaining AI-driven processes within the business
Supporting with monitoring & maintaining productionised models, identifying, and developing long-term processes, frameworks, tools, methods, and standards.
Developing ML models, visualisation tools & analytics to support the business strategy.
Advocate and educate on the value of data driven decision making focusing on the “how and why” of solving problems.
Managing relationships
Engaging with business stakeholders to problem solve with data.
Collaborating with the data engineering team to improve data accessibility.
Supporting analytics teams to effectively present data-driven insights and recommendations to stakeholders.

Role Requirements

Experience and Knowledge:

Degree (or equivalent) Post graduate degree are welcomed.
Proficiency in SQL / PostgreSQL / Microsoft SQL / Oracle
Proficient in Python or R
Proven business experience (1+ years) within a data scientist role, solving problems through data.
Good understanding of machine learning modelling techniques & proven experience deploying these within a business
Adept in in statistics and experience of using statistical techniques
Experience of analysing large datasets and communicating complex algorithms and methodologies to key technical and non-technical stakeholders.
A detail oriented, highly logical, and creative problem solver with a passion for overcoming complex challenges.
Proficient in writing clear, maintainable code

Highly Desirable

Knowledge & experience using version control software.
Knowledge of containerisation software.
Experience developing data visualisations for stakeholders through a BI platform (Power BI / Qlik / Tableau or similar).
Experience in utilising LLMs within a business setting

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