Role: Data Scientist, Associate Principal

Location: London, UK- Hybrid

Salary: Associate Principal- DOE

Clutch Creative is a rapidly growing staffing agency. We support our clients by identifying unreachable talent that helps their businesses grow.

Our candidates work with us because they know we have the best opportunities available to them and will help them navigate their next career move.

We care, we're honest, and we hustle—that's what makes us Clutch.

Clutch is looking for a Data Scientist at the Associate Principal level with experience in the CPG space.

Responsibilities:

• Lead and shape the strategic direction of data science initiatives, aligning them with client business objectives.
• Apply advanced statistical techniques, machine learning algorithms, and data mining methodologies to extract valuable insights from complex datasets.
• Design, develop, and deploy innovative data-driven solutions, including predictive models, recommendation systems, and optimization algorithms.
• Build strong relationships with clients, understand their business challenges, and translate complex technical concepts into actionable insights.
• Mentor and guide junior data scientists, fostering a culture of innovation and continuous learning.
• Stay abreast of emerging trends in data science and analytics, contributing to thought leadership initiatives and publications.
• Collaborate with data engineers to design and implement robust data pipelines and infrastructure.
• Oversee the deployment of data science models into production environments, ensuring scalability and reliability.

Requirements:

• Advanced Degree: Ph.D. or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Operations Research, or a related field).
• 10+ Years of Experience: Proven track record of leading complex data science projects in a consultancy environment preferred.
• Expertise in a variety of data science tools and techniques, including Python, R, SQL, machine learning frameworks and cloud platforms.
• Strong understanding of industry-specific data challenges and opportunities.
• Excellent written and verbal communication skills to effectively convey technical concepts to both technical and non-technical audiences.
• Ability to break down complex problems, identify root causes, and develop innovative solutions.
• Proven leadership abilities to inspire and motivate teams, foster collaboration, and drive results.

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