Senior CRM Data Scientist

BettingJobs
London, England
11 months ago
Applications closed

Related Jobs

View all jobs

Associate Director of Demand Generation Marketing

Cambridge Consultants United Kingdom
On-site

Senior Partner Solutions Engineer

PolyAI United Kingdom

Senior Decision Scientist

Love Finance Birmingham, United Kingdom
£70,000 – £95,000 pa Hybrid

Senior Data Engineer

Ageas Insurance Limited Reigate, RH2 0AA, United Kingdom
£70,000 – £85,000 pa Hybrid

Senior Python Developer

Randstad Technologies Dublin, Alba / Scotland, IV17 0YF, United Kingdom
€60,872 – €62,611 pa Hybrid

Senior Data Scientist

Harnham - Data & Analytics Recruitment Manchester, United Kingdom
£70,000 – £90,000 pa On-site
Posted
6 Jun 2025 (11 months ago)

Job Description

BettingJobs is currently recruiting for CRM Data Scientist for a leading gambling provider based in London.


Key Responsibilities:

  • Analyze large datasets to uncover patterns and insights related to customer behavior.
  • Develop predictive models to forecast customer activities and trends.
  • Collaborate with cross-functional teams to implement data-driven strategies.
  • Define and track key performance indicators (KPIs).
  • Utilize machine learning techniques to optimize CRM strategies, especially related to automated campaign optimization.
  • Communicate findings and recommendations to stakeholders in a clear and concise manner.


Requirements:

  • Master's or PhD degree in a quantitative field.
  • Proven experience of large-scale data analysis and hypothesis testing.
  • Strong proficiency in statistical analysis and predictive modeling.
  • Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse / data.table), along with SQL.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication skills with the ability to present complex data insights to non-technical stakeholders.
  • Willingness to take ownership of analytics projects and be the engine driving them from ideation phase till bringing out the product to customers, and be...

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.