Data Scientist - Spectrum IT Recruitment : Job Details

Data ScientistMaidenhead, 3 days Onsite, HybridUp to £64,000 + Benefits

Our client is a global leader in enterprise management software solutions, specialising in helping businesses across the retail and consumer services sectors to optimise operations, manage data, and drive customer loyalty.They are seeking a talented Data Scientist (Level 2) to analyse complex data sets, develop predictive models, and deliver actionable insights that support their cutting-edge solutions.This is an exciting opportunity to work with a forward-thinking organisation that values collaboration, innovation, and the impact of data-driven decision-making on a global scale.

Key Responsibilities:

• Analyse large data sets to identify trends and generate actionable insights.
• Develop and optimise machine learning models to address business challenges.
• Collaborate with data engineering teams to ensure data quality and efficiency.
• Present findings to both technical and non-technical audiences.
• Mentor junior team members and contribute to the growth of the data science team.

Qualifications:

• Bachelor's degree in Data Science, Statistics, Mathematics, or a related field.
• 2+ years of experience in a data science or analytics role.
• Proficiency in Python or R, SQL, and data visualisation tools.
• Experience with machine learning models and statistical analysis.

Preferred Skills:

• Familiarity with AWS and experiment design.
• Strong problem-solving and communication skills.

What's on Offer:Join a global leader driving innovation and efficiency in a dynamic industry. This role offers the chance to make a meaningful impact on leading brands and millions of customers worldwide, while advancing your career in a collaborative and innovative environment.

How to Apply:If you're ready to take your data science career to the next level and thrive in a global organisation, apply today!

Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.