Senior Data Scientist -CRM in London

Energy Jobline ZR; City Of London; Hybrid; GBP 63,000 - 75,000; Full time

Job summary

A leading energy recruitment firm is seeking a Senior Data Scientist to lead machine learning solutions for CRM personalization. The role entails developing predictive models and recommendation systems to enhance customer engagement. Ideal candidates should have strong experience in recommendation systems, proficiency in Python, and familiarity with cloud platforms. This position offers a hybrid working model in London with a competitive salary package.

Qualifications

• Proven experience in machine learning, particularly in recommendation systems and deep learning architectures.
• Strong understanding of two-tower neural networks and embedding techniques.
• Ability to work cross-functionally with marketing, CRM, and engineering teams.

Responsibilities

• Lead development of machine learning solutions for CRM personalization.
• Build and optimize recommendation engines using neural networks.
• Own the full ML lifecycle—from model design to deployment.

Skills

Machine learning expertise

Recommendation systems experience

Deep learning architectures knowledge

Python proficiency

Familiarity with ML libraries

Cloud platforms experience

ML Ops understanding

Cross-functional teamwork

Communication skills

Tools

TensorFlow

PyTorch

Dataiku

Job description

Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.

We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.

Job Description

Job Title Senior Data Scientist - CRM

Location London – hybrid working (2/3 days in City offices)

Salary To c£75,000 negotiable DoE

Job Reference J13015

POSITION OVERVIEW

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.

THE ROLE

• 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.

REQURIED SKILLS & EXPERIENCE

• 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.

If this sounds like the role for you then please apply today!

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.

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.