What Predictive Analytics Jobs are in London?

Showing 967 Predictive Analytics jobs in London

Hybrid Data Scientist: Predictive Analytics in the Cloud

Posted 2 days ago

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Job Description

Data Scientist
Rate: up to £450/day Outside IR35
Contract Length: 6 Months + Likely Extension
Location: Hybrid - 1 day per week onsite in Central London
Working Hours: 37.5/week

An established organisation is seeking a Data Scientist to join a forward-thinking data function focused on advanced analytics predictive modelling plus data-driven decision support. This role offers the opportunity to work on complex high-value problems using modern data science tooling within a collaborative delivery-focused environment.

The Data Scientist role suits a hands-on Data Scientist who is comfortable working across the full lifecycle from data exploration through to model development validation plus deployment support.

Responsibilities for the Data Scientist:

  • Develop statistical models machine learning solutions analytical frameworks to address complex business problems
  • Explore large structured semi-structured datasets to identify patterns trends predictive signals
  • Build test refine models using modern data science libraries within cloud-based platforms
  • Translate analytical outputs into clear insights recommendations for technical non-technical stakeholders
  • Work closely with data engineers analysts to ensure models are production-ready scalable
  • Validate model performance manage bias ensure outputs are robust explainable reliable
  • Contribute to continuous improvement of data science practices tooling governance

Essential Skills for the Data Scientist:

  • Strong experience in data science using Python with libraries such as Pandas NumPy scikit-learn or similar
  • Solid grounding in statistics probability machine learning techniques
  • Proven experience working within cloud environments such as AWS Azure or GCP
  • Experience working with SQL large analytical datasets
  • Ability to clearly communicate complex analytical concepts to a broad audience
  • Strong problem-solving skills with a delivery-focused mindset
  • Relevant academic qualifications in Data Science Statistics Mathematics Computer Science or a related quantitative discipline

Desirable Skills for the Data Scientist:

  • Experience with deep learning frameworks advanced modelling techniques
  • Familiarity with MLOps concepts model monitoring deployment pipelines
  • Exposure to tools such as Databricks MLflow feature stores
  • Experience working in Agile product-led delivery environments
  • Understanding of data governance ethics model explainability
  • Relevant professional certifications relating to cloud data platforms machine learning or analytics

If you are a Data Scientist with strong technical depth plus cloud experience relevant qualifications plus a track record of delivering real-world analytical solutions who is looking for a high-impact Outside IR35 contract please apply in the immediate instance.

Data Scientist

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Growth Data Scientist - Predictive Analytics for Growth

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Posted 3 days ago

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Capital on Tap is seeking a skilled individual to join our Growth Team in London. This hybrid role involves developing predictive models to enhance customer acquisition and retention. The ideal candidate will have experience in statistical modeling and data analysis, with a strong quantitative degree.

We offer a dynamic work environment with numerous perks, including private healthcare, a generous holiday allowance, and a dog-friendly office.

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SAS Model Architect - Predictive Analytics & Deployment

Posted 3 days ago

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TXP Technology x People is seeking a SAS Model Developer based in London for a 3-month rolling contract. This hybrid role requires 2 days onsite per week and offers a rate of £400/day. The successful candidate will focus on designing, developing, and enhancing SAS-based statistical models.

To excel in this position, strong hands-on SAS programming experience and familiarity with the full model development lifecycle are essential. You will collaborate closely with data engineering teams to support model deployment and governance.

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CRM Data Scientist — Predictive Analytics for Campaigns

Posted 5 days ago

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A leading gaming solutions provider is seeking a Data Scientist to analyze customer behavior and develop predictive models. The ideal candidate should have a Master’s or Ph.D. in a quantitative field and experience in statistical analysis, alongside proficiency in Python and SQL. Responsibilities include collaborating with teams to implement data-driven strategies and communication of insights. The position offers hybrid work options and several benefits aimed at employee well-being.
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Growth Data Scientist — Predictive Analytics for Growth

Posted 10 days ago

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Capital on Tap is looking for a Growth Team member to develop predictive models to enhance customer acquisition and retention. The role involves analyzing complex datasets and collaborating with stakeholders to implement solutions effectively.

The ideal candidate has strong analytical skills, 2+ years of experience in Python and SQL, and a relevant degree. Benefits include private healthcare, generous holiday, and a supportive work environment.

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Growth Data Scientist — Predictive Analytics for Acquisition

Posted 6 days ago

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Capital On Tap is looking for a Growth Team member to enhance customer acquisition and retention using data science. Based in London, this hybrid role requires strong analytical skills and experience in Python and SQL.

Your responsibilities include developing predictive models, analyzing datasets, and collaborating with diverse stakeholders. An excellent degree in a quantitative field and at least 2 years of relevant experience are required.

The company offers benefits like private healthcare, a pension scheme, and generous holiday allowances.

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Senior Data Scientist: Predictive Analytics for Insurance

Posted 5 days ago

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IC Resources is seeking a Senior Data Scientist to enhance their rapidly growing analytics team in London. You will develop predictive models and collaborate with various technical teams to improve data-driven decision-making.

Ideal candidates have strong data science experience, proficiency in Python or R, and excellent communication skills. Knowledge of machine learning, statistics, and large datasets is essential, while experience in finance or insurance is a plus.

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CRM Data Scientist: Predictive Analytics for Engagement

Posted 5 days ago

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A leading gaming solutions provider in London is seeking a skilled Data Scientist specializing in CRM and customer behavior analysis. In this role, you will analyse large datasets to extract meaningful insights, develop predictive models, and collaborate with cross-functional teams to enhance engagement strategies. Applicants should hold a Master's or PhD in a quantitative field and have strong skills in statistical analysis, Python, and SQL. The position offers a hybrid work model and excellent career growth opportunities.
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Senior Data Scientist | Lead Predictive Analytics

Posted 6 days ago

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Merlin Entertainments is seeking a Senior Data Scientist to join their London/Hybrid team. This role involves building and deploying predictive models, ensuring quality and performance, and mentoring junior data scientists.

Applicants should have at least 4 years of experience in data science, strong skills in machine learning, and familiarity with cloud platforms. A degree in Computer Science, Mathematics, or Engineering is required. Competitive salary and multiple benefits await the right candidate.

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Data Science Manager: Predictive Analytics Leader

Posted 6 days ago

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Arch Insurance (UK) is seeking a Data Science Manager located in London, UK. The role involves working closely with business partners to solve problems, developing predictive models, and offering thought leadership in analytics. Ideal candidates will have a strong background in statistical modeling and advanced analytics, particularly within the insurance industry.

Successful applicants will design and implement solutions, mentor team members, and guide analytics practices within the organization. A degree in a quantitative field is essential.

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