PyTorch, scikit-learn) - Skilled in handling large datasets, data wrangling, and statistical modelling - Comfortable working independently on end-to-end ML pipelines - Experienced in visualisation tools (e.g. Matplotlib, Seaborn, Tableau) Desirable: - Exposure to cloud platforms (AWS, GCP, Azure) and big data tools (Hadoop, Spark) - MSc/PhD in Computer Science, AI, Data Science, or related field More ❯
models and algorithms. Data Manipulation & Analysis: Proficient in data manipulation and analysis using tools like Pandas, NumPy, and Jupyter Notebooks. Experience with datavisualization tools such as Matplotlib, Seaborn, or Tableau to communicate insights effectively. Our offer: Cash: Depends on experience Equity: Generous equity package, on a standard vesting schedule Impact & Exposure: Work at the leading edge of More ❯
reduction, LLM. Proficiency in Python for developing machine learning models and conducting statistical analyses. Strong understanding of datavisualization tools and techniques (e.g., Python libraries such as Matplotlib, Seaborn, Plotly) and the ability to present data effectively. Specific technical requirements: Data Science or AI/ML strategy. Data Science or AI/ML solution architecture. Proficiency in development More ❯
Mathematics, Statistics, Business Administration or related field Advanced knowledge of SQL (joins, aggregations, CTEs and window functions) Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy , sklearn ) Familiarity with what is happening under the hood of popular Machine Learning algorithms Strong problem-solving skills and attention to detail Strong communication and collaboration skills Ability More ❯
knowledge of data science fundamentals (Machine Learning methods, Statistics). Fluent in common analytics tools (Python, Pandas, Numpy, ScikitLearn, SQL, etc.) Comfortable to use datavisualization libraries (e.g. Seaborn, Matplotlib) Demonstrated initiative, judgment and discretion while handling sensitive information Preferred Qualifications: If you have the following characteristics, it would be a plus: PhD - in a STEM subject and More ❯
Bachelor's degree in Computer Science, Mathematics, Statistics, Business Administration or related field Advanced knowledge of SQL Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy, sklearn) Familiarity with what is happening under the hood of popular Machine Learning algorithms Strong problem-solving skills and attention to detail Strong communication and collaboration skills Ability More ❯
Toolkit, Tabular Editor, DAX Studio, Measure Killer) Proficiency in other data visualisation tools beyond Power BI (e.g., Tableau, Looker, ThoughtSpot), as well as data visualisation libraries (e.g., Matplotlib, Seaborn, Plotly, ggplot2, D3.js, Kepler.gl, Apache Superset, Streamlit). Expertise in data storytelling techniques and the ability to translate data into actionable insights through compelling narratives. Strong understanding of design More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Datatech Analytics
looking for someone who: Has a Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field Brings advanced SQL skills and strong experience with Python (pandas, sklearn, seaborn, etc.) Understands the mechanics behind ML algorithms—not just how to run them Enjoys solving problems and improving processes Has hands-on experience developing underwriting or behavioural credit models More ❯
looking for someone who: Has a Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field Brings advanced SQL skills and strong experience with Python (pandas, sklearn, seaborn, etc.) Understands the mechanics behind ML algorithms—not just how to run them Enjoys solving problems and improving processes Has hands-on experience developing underwriting or behavioural credit models More ❯
statistics, with experience extracting insights from heterogeneous multi-dimensional datasets. Ability to apply machine learning techniques (e.g., scikit-learn, PyTorch, TensorFlow) and present complex data visually using Matplotlib, seaborn, or Streamlit. Fluent in Python, with experience working with data processing libraries such as Pandas. Strong SQL skills, a good understanding of Linux, parallel computing tools, and experience with More ❯
metadata management, vector databases, relational/object databases. Experience with Kubernetes. Understanding of computational geometry (meshes, boundary representations). Ability to analyze data using tools like Pandas, Matplotlib, Seaborn, Plotly, R. Familiarity with Autodesk or similar CAD/CAE/CAM products. Knowledge of data lake architectures, data provenance, and lineage. Understanding of computational geometry and industry-specific More ❯
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. More ❯
