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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

Nexus Finance
London
Salary Estimate
GBP 70.000 – GBP 95.000
Live Update
29 Mei 2026
Deadline
29 Mei 2027

Job Description

Join Nexus Finance and Shape the Future of Fintech

Nexus Finance is at the forefront of the digital revolution, leveraging data to drive financial inclusion and innovation. We are currently seeking a highly skilled and visionary Senior Data Scientist to join our London-based team. In this pivotal role, you will translate complex datasets into actionable insights that power our core products and strategy. If you are passionate about the intersection of mathematics, technology, and business, we want to hear from you.

Why Join Us?

  • Work with cutting-edge technologies in a collaborative, high-performance environment.
  • Competitive salary and comprehensive benefits package.
  • Opportunity to mentor junior talent and drive technical innovation.

Responsibilities

  • Model Development: Design, develop, and deploy end-to-end machine learning pipelines and predictive models to solve complex business problems.
  • Data Analysis: Perform exploratory data analysis (EDA) on large, unstructured datasets to identify trends, patterns, and anomalies.
  • Collaboration: Work closely with cross-functional teams including product managers, engineers, and stakeholders to translate business requirements into technical solutions.
  • Optimization: Continuously monitor, evaluate, and optimize existing models to improve accuracy, performance, and scalability.
  • Communication: Present technical findings and data-driven recommendations to non-technical audiences in a clear and compelling manner.
  • Research: Stay abreast of the latest advancements in AI/ML research and apply best practices to the team.

Qualifications

  • Education: Master’s or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Experience: Proven track record of 5+ years of experience in Data Science or Machine Learning.
  • Programming: Strong proficiency in Python (pandas, NumPy, Scikit-learn) or R.
  • Databases: Expert knowledge of SQL and experience working with big data technologies (Spark, Hadoop).
  • Frameworks: Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Communication: Excellent written and verbal communication skills with the ability to influence stakeholders.

Required Skills

Python SQL Machine Learning Deep Learning TensorFlow PyTorch Data Visualization Statistics A/B Testing Cloud Computing AWS Data Pipelines

Ready to Take on This Challenge?

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