Senior Data Scientist

Datatech Analytics; Greater London; Hybrid; GBP 70,000 - 85,000; Full time

Job summary

A leading recruitment agency in analytics is seeking a Senior Data Scientist to lead the development of machine learning solutions focused on CRM personalization. This role involves building and optimizing recommendation engines and collaborating with cross-functional teams. The ideal candidate has proven experience in machine learning, particularly in recommendation systems, and proficiency in Python. The position offers a hybrid working model based in central London, with a salary range of £70,000 - £85,000 depending on experience.

Benefits

Referral scheme

Competitive salary

Qualifications

• 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 such as pandas, numpy, scipy, scikit‑learn, TensorFlow, PyTorch.

Responsibilities

• Lead development of machine learning solutions for CRM personalization.
• Build and optimize recommendation engines using neural networks and deep learning.
• Collaborate with CRM and marketing teams.

Skills

Machine learning experience

Recommendation systems

Deep learning architectures

Python proficiency

ML libraries (pandas, numpy, etc.)

Cloud platforms (GCP, AWS, Azure)

ML Ops experience

Cross-functional collaboration

Communication skills

Job description

Senior Data Scientist - Customer Data

Salaries in the region of £70,000 - £85,000 DoE.

Hybrid working – 2/3 days central London office.

Job Reference J13015.

Full UK working rights required / no sponsorship available.

Immediate requirement – strong leadership skills.

The role

• Lead development of machine learning solutions for CRM personalization.
• Build and optimize recommendation engines using neural networks and deep learning, 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.

Skills

• 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 such as 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 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.

Datatech is one of the UK's leading recruitment agencies in the field of analytics and hosts the critically acclaimed event, Women in Data. For more information, visit our website: www.datatech.org.uk.