Remote Matplotlib Jobs in the South East

4 of 4 Remote Matplotlib Jobs in the South East

Data Science Developer

Hertfordshire, South East, United Kingdom
Hybrid / WFH Options
Queen Square Recruitment Limited
. Strong grasp of LLMs, GenAI, and AI system architectures. Experienced with large-scale datasets and preprocessing pipelines. Skilled in statistical modelling and data visualization tools (e.g., Tableau, Seaborn, Matplotlib). Able to independently lead complex projects from design to deployment. Desirable: Experience with big data tools (Hadoop, Spark) and cloud platforms (AWS, GCP, Azure). MSc or PhD in More ❯
Employment Type: Contract
Rate: Unspecified Competitive Day Rate Inside IR35
Posted:

Senior Data Scientist - Product Innovation

Maidenhead, England, United Kingdom
Hybrid / WFH Options
Informatica Corp
find the best fit for use cases. Effective technical communication skills to advocate solutions and explain them clearly to non-experts. Proficiency in Python, including libraries like pandas, PyTorch, matplotlib, and Seaborn, with experience in data science and engineering. Experience with cloud service technologies and enterprise tools such as Databricks, Snowflake, AWS Bedrock, SageMaker, Azure ML, and Google Vertex AI. More ❯
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Technical Business Analyst/Data Technician

London, South East, England, United Kingdom
Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
both technical teams and business users. A self-starter who is proactive, detail-oriented, and committed to delivering value. Nice to Have: Some experience in Python (e.g., pandas, seaborn, matplotlib). Familiarity with cloud platforms (AWS, Azure). Previous exposure to transport/rail industry data or commercial systems. If you are interested in this role, please apply. To follow More ❯
Employment Type: Full-Time
Salary: £45,000 - £50,000 per annum
Posted:

Senior Credit Risk Manager

London, South East, England, United Kingdom
Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
or consumer lending preferred). Strong quantitative background (degree in Maths, Engineering, Physics, or similar). Experience building and maintaining predictive credit models. Fluency in Python (Pandas, NumPy, SciPy, Matplotlib) and SQL. Experience with advanced modelling techniques (e.g., Monte Carlo, Bayesian modelling) is a plus. Strong communicator. Commercial mindset and strong instincts around risk and return. Experience mentoring or managing More ❯
Employment Type: Full-Time
Salary: £80,000 - £100,000 per annum
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