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Senior Data Scientist - AI & ML - London

Apex Data Innovations
London
Salary Estimate
GBP 85.000 – GBP 120.000
Latest
Live Update
28 Mei 2026
Deadline
28 Mei 2027

Job Description

We are seeking a visionary Senior Data Scientist to join our elite team in the heart of London. At Apex Data Innovations, we don't just analyze data; we architect the future of AI-driven decision-making for Fortune 500 clients. If you possess a deep technical acumen and a passion for transforming raw datasets into strategic gold, we want to hear from you.

In this pivotal role, you will lead high-impact projects, mentoring junior talent and pushing the boundaries of what's possible with predictive analytics and deep learning. You will work in a collaborative, agile environment alongside world-class engineers and product managers.

Why Join Us?

  • Competitive salary and equity package.
  • Flexible hybrid working model.
  • Access to the latest hardware and cloud resources.
  • Professional development and certification budget.

Responsibilities

  • Model Development: Design, build, and deploy scalable machine learning models and deep learning algorithms to solve complex business problems.
  • Data Engineering: Collaborate with data engineers to optimize data pipelines and ensure the integrity, quality, and availability of large-scale datasets.
  • Strategic Insight: Translate technical findings into actionable business insights for executive stakeholders, driving data-informed decision-making.
  • Research: Stay at the forefront of industry trends by conducting cutting-edge research in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
  • Mentorship: Guide and mentor junior data scientists and data analysts, fostering a culture of continuous learning and technical excellence.

Qualifications

  • Education: Master’s or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Technical Skills: Strong proficiency in Python (PyTorch, TensorFlow, Scikit-learn) and SQL.
  • Experience: Minimum of 5+ years of professional experience in data science, analytics, or machine learning engineering.
  • Big Data: Experience with distributed computing frameworks such as Apache Spark, Hadoop, or cloud data warehouses (Snowflake, BigQuery).
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical audiences clearly and persuasively.
  • Problem Solving: Proven track record of end-to-end project ownership from data ingestion to model deployment.

Required Skills

Python SQL Machine Learning Deep Learning PyTorch TensorFlow Apache Spark AWS Data Visualization Statistical Analysis

Ready to Take on This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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