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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

Nexus Analytics Solutions
London
Salary Estimate
GBP 85.000 – GBP 120.000
Live Update
16 Mei 2026
Deadline
17 Mei 2027

Job Description

Are you passionate about turning raw data into strategic business intelligence? Nexus Analytics Solutions is seeking a highly skilled Senior Data Scientist to join our elite London team. In this pivotal role, you will leverage cutting-edge machine learning techniques and statistical analysis to drive product innovation and optimize our clients' operational efficiency.

We offer a competitive salary, a dynamic work environment, and the opportunity to work with some of the most complex datasets in the industry.

Responsibilities

  • Design, develop, and deploy end-to-end machine learning models and predictive analytics solutions.
  • Collaborate with cross-functional teams of engineers, product managers, and stakeholders to translate business requirements into technical specifications.
  • Perform exploratory data analysis (EDA) to uncover hidden trends and patterns within large, complex datasets.
  • Optimize data pipelines and ensure the scalability, reliability, and security of data infrastructure.
  • Communicate complex findings and model performance metrics to non-technical audiences through clear visualizations and reports.
  • Stay abreast of the latest advancements in AI, Deep Learning, and Big Data technologies.

Qualifications

  • Master’s or PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Proven experience (5+ years) in Data Science, Machine Learning, or a similar analytical role.
  • Expert proficiency in programming languages such as Python, R, or Scala.
  • Strong command of SQL and experience working with large-scale data warehouses (e.g., Snowflake, BigQuery).
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Excellent problem-solving skills and the ability to work independently in a fast-paced startup environment.

Required Skills

Python SQL Machine Learning Predictive Analytics Data Visualization AWS Communication Statistics Big Data Deep Learning

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