Senior Data Scientist -CRM

Datatech Analytics; Cardiff; On-site; GBP 80,000 - 130,000; Full time

Job summary

Datatech Analytics, in partnership with a global lifestyle brand, seeks a Senior Data Scientist/Manager to lead CRM personalization and advanced recommender systems across markets. You will build predictive models and embeddings to drive engagement and revenue, shaping data science delivery across teams.

Take ownership of the full ML lifecycle—from design to deployment and monitoring—while collaborating with CRM, IT, and regional marketing to align with campaign goals.

Qualifications

• Proven experience in ML with personalization and recommender systems.
• Strong Python skills and hands-on ML ops experience.
• Ability to lead cross-functional teams including CRM and marketing.

Responsibilities

• Lead personalization efforts within the CRM ecosystem and global markets.
• Develop predictive models and recommendation systems to improve engagement.
• Own the end-to-end ML lifecycle from design to deployment and monitoring.
• Collaborate with engineering, data teams, and regional marketing teams to align with goals.

Skills

ML / machine learning

Deep learning

Python

Stakeholder management

Cross-functional collaboration

Campaign alignment

Tools

TensorFlow

PyTorch

Dataiku

Scikit-learn

Cloud platforms (GCP AWS Azure)

Job description

We are super excited to be partnering with one of the largest global lifestyle brands at a pivotal stage in their data journey. As they bring CRM and customer insight capability 'in house' and roll out a new customer data platform, this role will be central to shaping how data science is delivered, working closely with Data Science teams and IT partners to build for the future, not maintain the past. They are looking for a passionate and experienced Senior Data Scientist / Manager to lead personalization efforts within their CRM ecosystem. You'll develop predictive models and recommendation systems that enhance customer engagement across global markets., Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural networks and deep learnings, incorporating product embeddings and other advanced features to improve relevance and performance. Collaborate with CRM and regional marketing teams to align with campaign goals and customer segmentation strategies Own the full ML lifecycle-from model design to deployment and monitoring. Partner with engineering and data teams to ensure scalable solutions. Continuously monitor and improve model performance using data insights and feedback.

Proven experience in machine learning, particularly in recommendation systems and deep learning architectures. Strong understanding of two-tower neural networks, embedding techniques, and ranking models. 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. Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. Ability to work cross-functionally with marketing, CRM, and engineering teams. Excellent communication and stakeholder management skills

• Experience in a global or multi-regional context is a plus