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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist - Machine Learning Specialist

Nexus Data Solutions
London
Salary Estimate
GBP 70.000 – GBP 90.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

About Nexus Data Solutions

We are a leading technology consultancy driving digital transformation for Fortune 500 clients. We believe in the power of data to unlock human potential. As a Senior Data Scientist, you will join a world-class team of engineers, data scientists, and product designers working on cutting-edge AI solutions.

The Role

In this role, you will be responsible for designing, developing, and deploying scalable machine learning models. You will work closely with product managers and engineers to translate business requirements into robust technical solutions. If you are passionate about solving complex problems and have a knack for uncovering insights from massive datasets, we want to hear from you.

What We Offer

  • Competitive salary and performance bonuses.
  • Flexible working arrangements and remote-first culture.
  • Generous pension scheme and health benefits.
  • Continuous learning and development budget.

Responsibilities

  • Design and implement end-to-end machine learning pipelines using Python, TensorFlow, and PyTorch.
  • Conduct exploratory data analysis (EDA) to identify trends, patterns, and opportunities for optimization.
  • Collaborate with cross-functional teams to define product requirements and translate them into technical models.
  • Optimize algorithms for speed, scalability, and accuracy in production environments.
  • Present complex data insights and model performance metrics to non-technical stakeholders.
  • Stay abreast of the latest research in Deep Learning and Natural Language Processing.

Qualifications

  • Master’s or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 5+ years of professional experience in Data Science or Machine Learning Engineering.
  • Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL.
  • Proven experience with deep learning frameworks (TensorFlow, Keras, or PyTorch).
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Excellent communication skills with the ability to articulate technical concepts to diverse audiences.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch SQL Data Analysis Big Data AWS GCP Statistics Predictive Modeling

Ready to Take on This Challenge?

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