Data Scientist

Datatech Analytics; City Of London; Hybrid; GBP 65,000 - 75,000; Full time

Job summary

A leading analytics firm in the UK is seeking a Data Scientist to develop predictive models that enhance customer experiences. This hybrid role offers a salary of £65,000 - £75,000 and requires strong skills in machine learning and Python. The ideal candidate will have experience in customer marketing data science and excellent communication skills. This position requires full UK working rights and does not offer sponsorship.

Qualifications

• Relevant experience in Customer Marketing Data Science including applied statistics and machine learning techniques.
• Experience in a global or multi-regional context is a plus.

Responsibilities

• Develop and implement predictive models to understand drivers of customer behaviour.
• Transform analytical solutions into production-ready code.
• Translate complex analytical findings into clear, actionable insights.

Skills

Customer Marketing Data Science experience

Python proficiency

Experience with ML libraries (pandas, numpy, etc.)

Familiarity with cloud platforms (GCP, AWS, Azure)

Experience with ML Ops

Excellent communication skills

Tools

Dataiku

Databricks

Job description

Data Scientist

Salaries in the region of £65,000 - £75,000. Hybrid working 2 days central London office. Job Reference J13031. Full UK working rights required, no sponsorship available.

Customer Science

• Develop and implement predictive models to understand drivers of customer behaviour, including purchase patterns, customer lifetime events and sentiment analysis.
• Create sophisticated customer segmentation using behavioural, transactional, and demographic data.
• Design and build predictive models to enhance personalized customer experiences across all channels.
• Collaborate on design of test & learn methods to measure CRM initiatives' effectiveness.
• Monitor and optimise model performance through continuous improvement cycles.

Technical Implementation

• Transform analytical solutions into production-ready code.
• Implement models within our existing technology stack.
• Ensure scalability and efficiency of deployed solutions.

Stakeholder Communication & Collaboration

• Translate complex analytical findings into clear, actionable insights.
• Create compelling data visualisations to effectively communicate patterns and insights.
• Partner with cross-functional teams to enhance CRM strategies.
• Provide data-driven recommendations to improve customer engagement metrics.

Skills

• Relevant experience in Customer Marketing Data Science including applied statistics and machine learning techniques (supervised and unsupervised learning, natural language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc).
• Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch.
• Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku, Databricks.
• Experience with ML Ops, including model deployment, monitoring, and retraining pipelines.
• Ability to work cross-functionally with marketing, CRM, and engineering teams.
• Excellent communication skills.
• Experience in a global or multi-regional context is a plus.

If you would like to hear more, please do get in touch.