Data Scientist

Guaranteed Tenants Ltd; City of London; On-site; GBP 65,000 - 75,000; Full time

Job summary

A dynamic technology company in the UK is looking for a Data Scientist to develop predictive models and improve customer engagement metrics. The role requires proficiency in Python and experience in Customer Marketing Data Science. You will collaborate with cross-functional teams and translate analytical findings into actionable insights. A hybrid work model is available, with office time in central London.

Benefits

Referral schemes

Gift/voucher scheme

Qualifications

• Relevant experience in Customer Marketing Data Science including applied statistics and machine learning techniques.
• Familiarity with cloud platforms and tools.
• Ability to work cross-functionally with marketing, CRM, and engineering teams.

Responsibilities

• Develop and implement predictive models to understand drivers of customer behaviour.
• Create sophisticated customer segmentation using data.
• Translate complex analytical findings into clear insights.

Skills

Customer Marketing Data Science

Applied statistics

Machine learning techniques

Proficiency in Python

ML libraries (pandas, numpy, etc.)

Cloud platforms (GCP, AWS, Azure)

ML Ops

Excellent communication skills

Tools

Dataiku

Databricks

Job description

Data Scientist – Guaranteed Tenants Ltd

Salaries: £65,000 – £75,000 (region). Hybrid working: 2 days in central London office. Job Reference: J13031. Working Rights: Full UK working rights required; no sponsorship available. Immediate requirement: strong leadership skills.

THE ROLE

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.

Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.