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Data Scientist
Posted 1 day 15 hours ago by Datatech Analytics
Permanent
Full Time
Other
England, United Kingdom
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.
- Transform analytical solutions into production-ready code.
- Implement models within our existing technology stack.
- Ensure scalability and efficiency of deployed solutions.
- 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.
- 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.
Datatech Analytics
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