PyTorch Practical experience with Generative AI and exposure to leading LLM platforms (Anthropic, Meta, Amazon , OpenAI) Proficiency with essential data science libraries including Pandas, NumPy, scikit-learn, Plotly/Matplotlib, and Jupyter Notebooks Knowledge of ML-adjacent technologies, including AWS SageMaker and Apache Airflow. Strong skills in data preprocessing, wrangling, and augmentation techniques Experience deploying scalable AI solutions on cloud More ❯
with emerging trends and technologies in the field of data science. Requirements Proven experience as a data scientist using Python and a range of libraries (Numpy, Pandas, Scikit-Learn, Matplotlib, Plotly etc.). Strong expertise in statistical modelling, machine learning, and data mining techniques. Experience in computer vision is essential. Data engineering (pipelines, databases, infrastructure), ideally with AWS experience would More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Intellect Group
communication skills, with the ability to explain technical findings in simple terms Nice to Have: Experience with SQL or databases Exposure to data visualisation tools (e.g., Tableau, Power BI, matplotlib, seaborn) Understanding of cloud platforms (AWS, GCP, or Azure) Previous internship or project work in data science or analytics If you’re excited to grow your career in data science More ❯
communication skills, with the ability to explain technical findings in simple terms Nice to Have: Experience with SQL or databases Exposure to data visualisation tools (e.g., Tableau, Power BI, matplotlib, seaborn) Understanding of cloud platforms (AWS, GCP, or Azure) Previous internship or project work in data science or analytics If you’re excited to grow your career in data science More ❯
london, south east england, united kingdom Hybrid / WFH Options
Intellect Group
communication skills, with the ability to explain technical findings in simple terms Nice to Have: Experience with SQL or databases Exposure to data visualisation tools (e.g., Tableau, Power BI, matplotlib, seaborn) Understanding of cloud platforms (AWS, GCP, or Azure) Previous internship or project work in data science or analytics If you’re excited to grow your career in data science More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Intellect Group
communication skills, with the ability to explain technical findings in simple terms Nice to Have: Experience with SQL or databases Exposure to data visualisation tools (e.g., Tableau, Power BI, matplotlib, seaborn) Understanding of cloud platforms (AWS, GCP, or Azure) Previous internship or project work in data science or analytics If you’re excited to grow your career in data science More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Intellect Group
s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large datasets A passion for solving complex More ❯
s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large datasets A passion for solving complex More ❯
london, south east england, united kingdom Hybrid / WFH Options
Intellect Group
s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large datasets A passion for solving complex More ❯
slough, south east england, united kingdom Hybrid / WFH Options
Intellect Group
s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large datasets A passion for solving complex More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Intellect Group
s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large datasets A passion for solving complex More ❯
Skills & Experience: 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 ❯
in Python and SQL. • Knowledge of Large Language Models (LLMs) and their application to real-world problems. • Hands-on experience with Python data science and visualization packages (Pandas, NumPy, Matplotlib, Seaborn). • Experience with Excel VBA for specialized analysis. More ❯
numpy, scikit-learn) and writing clear, modular, reusable code with error handling and logging data visualisation : ability to build interactive dashboards and reports using tools such as Plotly, Dash, Matplotlib or Streamlit cloud and tooling : experience with AWS (S3, Lambda, Bedrock, Athena, or SNS), or other cloud services Azure, or GCP; and familiarity with version control (Git/GitHub), command More ❯
numpy, scikit-learn) and writing clear, modular, reusable code with error handling and logging data visualisation : ability to build interactive dashboards and reports using tools such as Plotly, Dash, Matplotlib or Streamlit cloud and tooling : experience with AWS (S3, Lambda, Bedrock, Athena, or SNS), or other cloud services Azure, or GCP; and familiarity with version control (Git/GitHub), command More ❯
numpy, scikit-learn) and writing clear, modular, reusable code with error handling and logging data visualisation : ability to build interactive dashboards and reports using tools such as Plotly, Dash, Matplotlib or Streamlit cloud and tooling : experience with AWS (S3, Lambda, Bedrock, Athena, or SNS), or other cloud services Azure, or GCP; and familiarity with version control (Git/GitHub), command More ❯
related field). 3+ years of experience writing production-grade Python code. 3+ years of hands-on experience with core Python data libraries (e.g., pandas, numpy, sklearn, tensorflow, pytorch, matplotlib). At least 1 year of experience deploying machine learning models in production environments. 1-2 years of experience working with SQL/NoSQL databases (e.g., Elasticsearch, graph databases). More ❯
Statistical Methodology: In-depth knowledge of GLMs and other machine learning algorithms Data Tools: Familiarity with cloud-based data platforms (we're on AWS) and data visualisation tools (Looker, matplotlib, seaborn) Software Engineering: Experience with version control systems (e.g., Git) and software development best practices in a data-intensive environment Care about documentation and reproducibility Soft Skills: Curiosity and a More ❯
Statistical Methodology: In-depth knowledge of GLMs and other machine learning algorithms Data Tools: Familiarity with cloud-based data platforms (we're on AWS) and data visualisation tools (Looker, matplotlib, seaborn) Software Engineering: Experience with version control systems (e.g., Git), CI/CD pipelines, and software development best practices in a data-intensive environment Ability to balance architecture thinking with More ❯
command line operations in one or more operating systems: o Windows and/or Linux (command line) Experience with two or more visualization tools packages: o e.g. (ggplot, Plotly, matplotlib, D3, Tableau, bokeh) Experience connecting to two or more database and web data sources: o Database: e.g. Postgres, Oracle, SQLite, and/or Arc SDE o Web: e.g API's More ❯
CTEs, window functions, optimization techniques) Advanced skills in Microsoft Excel (pivot tables, lookups, data analysis toolpak, macros a plus) Experience writing Python for data manipulation, automation, or visualization (pandas, matplotlib, seaborn) Hands-on experience working with BigQuery or other cloud-based data warehouses (Redshift, Snowflake, etc.) and JSON data structures Strong team player and desire to support work of team More ❯
Deep proficiency in SQL (joins, CTEs, optimization) and experience working with large-scale datasets in BigQuery, Snowflake, or Redshift Strong Python skills for analytics, automation, and data manipulation (pandas, matplotlib, seaborn) Strong understanding of data modeling, governance, and performance tuning in cloud-based environments Proven ability to lead teams, define strategy, and influence cross-functional stakeholders across technical and non More ❯
West London, London, England, United Kingdom Hybrid / WFH Options
Bond Williams
findings in a clear, concise manner. Collaborate with the data engineering team to maintain good data hygiene and integration. Essential Requirements Proficiency in Python for data analysis (pandas, NumPy, matplotlib/seaborn). Solid foundation in statistics: distributions, hypothesis testing, confidence intervals, regression. Experience working with structured datasets Ability to produce clear, well-commented code and visual outputs (e.g. plots More ❯
