Data Scientist

Salary: £45,000 - 55,000 per year

Requirements:

• Strong proficiency in our Python for data science stack, including Pandas, NumPy, and Scikit-learn.
• Experience with machine learning algorithms and model evaluation.
• Solid understanding of statistics and data analysis techniques.
• Experience with SQL and relational databases.
• Experience working with large datasets and data pipelines.
• Familiarity with data visualization tools such as Matplotlib, Seaborn, Plotly, Tableau, or Power BI.
• Preferred experience in data analytics: 1 year.
• Good to have experience with Generative AI / LLM APIs such as OpenAI or Anthropic.
• Good to have familiarity with LangChain or AI workflow tools.
• Good to have experience with cloud platforms such as AWS, GCP, or Azure.
• Good to have experience with deep learning frameworks such as TensorFlow or PyTorch.
• Good to have experience with MLOps or model deployment pipelines.

Responsibilities:

• Analyze large datasets to identify patterns, trends, and insights.
• Build and deploy machine learning models for prediction and optimization.
• Use our Python stack, including Pandas, NumPy, and Scikit-learn, for data analysis and modeling.
• Work with SQL and data warehouses to extract and transform data.
• Develop data visualizations and dashboards to communicate insights.
• Experiment with Generative AI and LLMs to enhance data analysis workflows.
• Collaborate with product, engineering, and business teams to translate data into decisions.
• Design experiments and evaluate model performance.
• Complete a challenge assessment to progress to further interview rounds.

Technologies:

• AI
• AWS
• Azure
• Cloud
• GCP
• LLM
• Machine Learning
• Power BI
• PyTorch
• Python
• SQL
• Tableau
• TensorFlow
• numpy
• pandas

More:

We are hiring a Data Scientist to transform data into actionable insights and build intelligent models that drive business decisions. This is a remote role with a salary of £45,000.00-£55,000.00 per year. We work with large datasets, machine learning, Python, SQL, and Generative AI tools, and we offer a challenge assessment as part of our hiring process for top performers to progress to further rounds.

last updated 31 week of 2026