Lead Data Scientist in Cheshire, Warrington

A rapidly growing software house in the heart of Manchester is seeking a Senior Data Scientist to spearhead innovation within their Data & Analytics function. If you're a seasoned data science professional looking for a role where you can have significant impact, mentor a developing team, and contribute to cutting-edge analytics solutions, this could be the perfect opportunity.

Role Overview

As a Senior Data Scientist, you'll be a pivotal member of a cross-functional team, leading the enhancement and development of state-of-the-art features for the platform. You'll be responsible for guiding the entire modelling lifecycle, from data preparation and analysis to the development of robust machine learning models and the creation of impactful, actionable visualisations. You'll also have the opportunity to shape the team's technical direction and mentor junior colleagues.

Key Responsibilities

• Architecting and overseeing data preparation, cleansing, and structuring processes for advanced model development.
• Leading investigations into patterns, trends, and anomalies within complex datasets, guiding the team to uncover key insights.
• Designing, building, and enhancing machine learning algorithms, providing technical leadership and guidance to junior data scientists.
• Communicating complex findings to both technical and non-technical audiences, presenting actionable recommendations with clarity and authority.
• Writing and optimising complex SQL queries for advanced data manipulation and retrieval, ensuring data integrity and efficiency.
• Collaborating with colleagues across the business to meet objectives, providing thought leadership and innovative approaches to problem-solving.
• Driving the research and development of innovative solutions, pushing the boundaries of what's possible with data science.
• Establishing and enforcing best practices for data science methodologies and documentation to facilitate team learning and knowledge sharing.
• Mentoring junior data scientists, fostering their professional development and technical expertise.
• Proactively developing new skills and staying abreast of cutting-edge methodologies in data science and analytics, sharing knowledge with the team.

Required Experience

• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field (PhD preferred).
• Deep understanding of probability, statistics, and linear algebra, with the ability to apply these concepts to real-world problems.
• Extensive proficiency in Python, including mastery of libraries like scikit-learn, pandas, seaborn, and matplotlib.
• Significant experience writing and optimising complex SQL queries for data retrieval and manipulation in large-scale databases.
• Strong experience of Azure Data Stack (Databricks/Data Factory).

Desirable Experience

• Exceptional ability to communicate complex insights effectively to stakeholders at all levels.
• A strong portfolio of Data Science projects demonstrating the ability to solve complex problems with innovative solutions.
• Demonstrated leadership experience within a data science team, mentoring junior colleagues and driving technical direction.
• Experience working with Agile methodologies in a collaborative team setting.
• Extensive experience with big data tools, such as Hadoop and Spark, for managing and processing large-scale datasets.
• Extensive experience with cloud platforms, particularly Microsoft Azure, for building and deploying data science solutions.

Why Join?

You’ll be joining a super collaborative culture offering a great balance of impact, ownership, support, and coaching. You’ll have a superb chance to contribute to cutting-edge projects and shape the future of the sector, whilst making a tangible impact on the development of a growing data science team.

Diversity & Inclusion

Mirai believes in the power of diversity and the importance of an inclusive culture. We welcome applications from individuals of all backgrounds, understanding that a range of perspectives strengthens both the team and partners' teams.