Lead Data Scientist
other jobs Harnham - Data & Analytics Recruitment
Added before 6 Days
- England,London,City of London
- Full Time, Contract
- £450 - £480 per day
Job Description:
Lead Data Scientist
England£450-£480 Outside IR35RemoteThe Company
They are a specialist organisation working at the forefront of AI-driven customer engagement. Their focus is on enabling highly personalised, real-time decisions across digital channels using advanced analytics and machine learning. The business combines deep domain expertise with strong delivery capability, supporting enterprise clients across multiple sectors.The Role and Deliverables
You will take ownership of end-to-end data science delivery, from problem definition through to deployment in live environments.
* Design, build, and deploy machine learning models within Pega-based decisioning platforms.
* Lead model development across feature engineering, training, validation, and ongoing performance monitoring.
* Work closely with application and logic developers to embed models into operational decision workflows.
* Develop statistical and machine learning models for personalisation, propensity scoring, and next-best-action use cases.
* Design and run experiments, including A/B testing, to quantify business impact.
* Provide technical leadership and mentoring to other data scientists, while engaging confidently with client stakeholders.Your Skills and Experience
* Strong experience delivering data science solutions in client-facing or consulting environments.
* Advanced capability in Python and or R, with hands-on use of modern machine learning libraries.
* Deep understanding of statistical modelling, experimentation, and model evaluation techniques.
* Experience deploying and operating models on cloud platforms such as AWS, GCP, or Azure.
* Proven ability to communicate complex technical concepts to non-technical audiences.
* Experience with Pega Customer Decision Hub and Adaptive Decision Manager in production environments is highly desirable.
* Exposure to real-time decisioning, customer engagement, or personalisation use cases is advantageous.
* Familiarity with MLOps practices and model monitoring frameworks is beneficial.How to Apply
If you are looking for a senior data science role where you can combine technical depth with real client impact, apply now to learn more.
England£450-£480 Outside IR35RemoteThe Company
They are a specialist organisation working at the forefront of AI-driven customer engagement. Their focus is on enabling highly personalised, real-time decisions across digital channels using advanced analytics and machine learning. The business combines deep domain expertise with strong delivery capability, supporting enterprise clients across multiple sectors.The Role and Deliverables
You will take ownership of end-to-end data science delivery, from problem definition through to deployment in live environments.
* Design, build, and deploy machine learning models within Pega-based decisioning platforms.
* Lead model development across feature engineering, training, validation, and ongoing performance monitoring.
* Work closely with application and logic developers to embed models into operational decision workflows.
* Develop statistical and machine learning models for personalisation, propensity scoring, and next-best-action use cases.
* Design and run experiments, including A/B testing, to quantify business impact.
* Provide technical leadership and mentoring to other data scientists, while engaging confidently with client stakeholders.Your Skills and Experience
* Strong experience delivering data science solutions in client-facing or consulting environments.
* Advanced capability in Python and or R, with hands-on use of modern machine learning libraries.
* Deep understanding of statistical modelling, experimentation, and model evaluation techniques.
* Experience deploying and operating models on cloud platforms such as AWS, GCP, or Azure.
* Proven ability to communicate complex technical concepts to non-technical audiences.
* Experience with Pega Customer Decision Hub and Adaptive Decision Manager in production environments is highly desirable.
* Exposure to real-time decisioning, customer engagement, or personalisation use cases is advantageous.
* Familiarity with MLOps practices and model monitoring frameworks is beneficial.How to Apply
If you are looking for a senior data science role where you can combine technical depth with real client impact, apply now to learn more.
Job number 3731045
Increase your exposure to recruiters with ProJobs
Thousands of recruiters are looking for you in the Job Master profile database, increase your exposure 4 times with a ProJob subscription
You can cancel your subscription at any time.
metapel
Company Details:
Harnham - Data & Analytics Recruitment
Company size: 250–499 employees
Industry: Recruitment Consultancy
Harnham are the global leaders in Data & Analytics recruitment.Harnham provides specialist Data & Analytics recruitment staffing services and talent s...