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Senior Data Scientist Customer Data

Datatech

City Of London

Hybrid

GBP 63,000 - 75,000

Full time

Yesterday
Be an early applicant

Job summary

A leading data analytics firm is looking for a Senior Data Scientist to leverage technical expertise and data analysis to drive business insights. This hybrid role focuses on building predictive models, collaborating with teams, and utilizing advanced machine learning techniques. Ideal candidates will possess strong Python skills and experience in customer analytics. Join us to make a meaningful impact in data-driven decision-making.

Benefits

Referral schemes

Qualifications

  • Experience as a Data Scientist in customer analytics or CRM environments.
  • Strong coding skills in Python and familiarity with ML libraries.
  • Understanding of machine learning methods including NLP and deep learning.

Responsibilities

  • Use technical expertise to uncover insights for business decisions.
  • Build and deploy predictive models regarding customer behavior.
  • Communicate analytical findings using data visualization techniques.

Skills

Data analysis
Machine Learning
Python
Data visualization
Collaboration

Tools

AWS
GCP
Azure
Databricks
Dataiku
Job description
Overview

Job Title: Senior Data Scientist – Customer Data

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

Salary: To c£75,000 negotiable DoE

Job Reference: J13020

Role
  • As a Data Scientist, you\'ll use your technical expertise and curiosity to uncover insights that inform key business decisions. Your day-to-day responsibilities will include:
  • Building and deploying predictive models to anticipate customer behaviour, from purchasing patterns to life events and brand engagement.
  • Partnering closely with CRM, marketing, engineering, and data teams to design scalable, data-led solutions that deliver measurable results.
  • Applying best practices in A/B testing and experimentation to evaluate new initiatives and identify performance improvements.
  • Leading key projects that translate complex data into clear, actionable insights to guide strategic direction.
  • Leveraging advanced data visualisation techniques to communicate analytical findings in a compelling and accessible way.
  • Monitoring and fine-tuning model performance to ensure continuous accuracy and reliability.
  • Using advanced machine learning techniques (including NLP, deep learning, and time-series forecasting) to solve complex business challenges.
  • Contributing to the development of robust MLOps processes for deployment, monitoring, and retraining of models.
About You

You\'re a curious, detail-oriented problem solver who thrives on uncovering insights and translating them into meaningful business impact. You enjoy collaboration, experimentation, and continuous learning. To be successful, you\'ll bring:

  • Proven experience as a Data Scientist, ideally within customer analytics, marketing, or CRM environments.
  • Strong coding skills in Python, with deep familiarity across ML and data libraries (pandas, numpy, scipy, scikit-learn, tensorflow, pytorch).
  • A broad understanding of machine learning and statistical methods, including NLP, deep learning, Bayesian inference, time-series forecasting, and recommendation systems.
  • Hands-on experience with cloud platforms such as AWS, GCP, or Azure, and exposure to tools like Databricks or Dataiku.
  • Practical knowledge of MLOps frameworks for deploying, monitoring, and retraining predictive models.
  • Excellent communication and storytelling skills, with the ability to simplify complex concepts for non-technical audiences.
  • A collaborative and innovative mindset, with strong stakeholder management skills and a passion for using data to solve business problems.
  • Previous experience in a global or multi-regional organisation 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

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