Data Scientist

Inside IR35 Data Scientist / Hybrid London 3 days Onsite, 2 days remote / 6-12 months / Start ASAP

Experience: 8+ years

Key responsibilities:

• Oversee the management of data pipelines and data storage systems required for model training and inference.
• Optimize ML infrastructure for scalability and cost-effectiveness.
• Enforce security best practices to safeguard both the models and the data they process.
• Ensure compliance with industry regulations and data protection standards.
• Work closely with data scientists, software engineers, and other stakeholders to understand model requirements and system constraints.
• Collaborate with DevOps teams to align MLOps practices with broader organizational goals.
• Continuously optimize and fine-tune ML models for better performance.

Key Skills:

• Demonstrate a proven ability to successfully manage data engineering and analytics projects from conception to deployment.
• Must have extensive agile based delivery experience.
• Applied knowledge of data technologies, Cloud and relevant data science or engineering framework such as (e.g. Hadoop, Spark, Google Vertex AI, scikit-learn, TensorFlow, Spark, etc)
• Data Preparation (e.g. SQL, ETL), Programming (e.g. Python, PySpark) and Modelling (e.g. machine learning, text analytics, or NLP)
• Excellent organisational & communication skills

Seniority level

Mid-Senior level

Employment type

Contract

Job function

Information Technology

Industries

IT Services and IT Consulting