Data Scientist
eMFusion Global
Brighton and Hove, UK
12 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
£58,037.0
Working hours
Regular working hours
Job source
Tech stack
Amazon Web Services
Data Analysis
Microsoft Azure
Cloud Computing
Data Governance
Statistical Hypothesis Testing
Python (Programming Language)
Machine Learning
SQL Databases
Cloud Platform System
Deep Learning
Programming Languages
Job description
Are you a visionary data enthusiast eager to transform complex datasets into game-changing insights? As a Data Scientist you will play a critical role in shaping strategic pricing initiatives and delivering impactful predictive models that fuel our clients growth and innovation.
We’re looking for someone with a passion for solving complex problems, a talent for extracting meaningful insights from data, and a knack for communicating those insights to drive business decisions. Your Impact
- Innovate and Lead: Design, develop, and deploy predictive models using advanced machine learning and statistical techniques to solve real-world challenges.
- Empower Decision-Making: Build models that predict customer demand, optimise pricing strategies, and inform key commercial decisions.
- Collaborate for Success: Work closely with cross-functional teams in Protection, Distribution, and Product to ensure business initiatives are powered by data-driven insights.
- Drive Automation: Develop and deploy sophisticated analytical processes to enhance efficiency and deliver actionable insights at scale.
- Data Champion: Clean, process, and manage data to support future modeling and analytics efforts while driving data literacy across the organisation.
Requirements
- Technical Expertise: Proficiency in machine learning, predictive modeling, and programming languages such as Python and SQL.
- Analytical Mastery: Deep understanding of statistical methodologies, hypothesis testing, and data modeling techniques.
- Mathematical Savvy: Solid knowledge of algebra, probability theories, regression models, and time-series analysis.
- Cloud Knowledge: Experience working in cloud environments like AWS or Azure DevOps.
- Commercial Mindset: Understanding of retail pricing models, customer behavior analytics, and market dynamics.
- Effective Communication: Ability to translate complex data into clear, actionable insights for technical and non-technical stakeholders.
- Data Governance: Knowledge of GDPR and data protection best practices.
Your Attributes
- Innovative Problem-Solver: Always looking for new ways to harness data for commercial impact.
- Collaborative and Curious: Thrive in team environments and enjoy mentoring others.
- Self-Motivated Leader: Take ownership of projects with confidence and accountability.
- Passionate Data Enthusiast: Relentlessly curious about data trends and the latest technologies.
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