control systems (Git/GitHub), Python package management, unit testing, and code reviews Hands-on experience with data exploration and visualization tools like Pandas, Matplotlib, Bokeh, Plotly, or Tableau Exposure to cloud platforms such as AWS Experience working collaboratively in multidisciplinary teams alongside machine learning and software engineers Contract Terms More ❯
similar. Technical knowledge of relevant ML performance metrics and how to apply them to monitor models. Strong knowledge of Python (such as numpy, pandas, matplotlib, streamlit, and opencv). Strong knowledge of modern programming paradigms (OOP, functional programming etc). Ability to write clean, robust, readable, error handling and error More ❯
data analysis and visualization a meticulous coder with an eye for readability, with experience in python and industry standard data science packages (numpy, pandas, matplotlib, sqlite, or others). Able to use SQL syntax writing and workflows. You have good familiarity with file/data formats, such as markdown, json More ❯
developing and deploying machine learning models in production. Strong programming skills in Python and SQL. Proficiency with data visualization tools (e.g., Tableau, Power BI, matplotlib) and cloud platforms (preferably AWS). Expertise in statistics and machine learning frameworks (e.g., PyTorch, scikit-learn). Familiarity with Git and collaborative workflows, such More ❯
work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a More ❯
work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a More ❯
work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a More ❯
markets - over the last 3-5 years - in an investment context. Fluent in Python 3.11+, the standard library, and external libraries like numpy, pandas, matplotlib, and scikit-learn. Confident in SQL Server or similar; experience with Azure and Docker is a positive. An understanding of machine learning processes and their More ❯
work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a More ❯
work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a More ❯
work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a More ❯
work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a More ❯
£2.5 million seed funded Startup utilising Machine Learning
and React on the Frontend. Tech & Data Science stack: Kubernetes & Docker on Google Cloud Python 3: Pandas, RabbitMQ, Celery, Flask, SciPy, NumPy, Dash, Plotly, Matplotlib Javascript, React, Redux PostgreSQL, Redis Prometheus, Alert Manager, DataDog If you joined the company in a Data Science role you would be working on sophisticated More ❯
and modern Deep Learning algorithms (e.g. BERT, LSTM, etc) Solid knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib, etc) Understanding of model evaluation, data pre-processing techniques, such as standardisation, normalisation, and handling missing data Solid understanding of summary, robust, and nonparametric statistics More ❯
and modern Deep Learning algorithms (e.g., BERT, LSTM, etc.) Solid knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib, etc.) Understanding of model evaluation, data pre-processing techniques, such as standardisation, normalisation, and handling missing data Solid understanding of summary, robust, and nonparametric statistics More ❯
and modern Deep Learning algorithms (e.g., BERT, LSTM, etc.) Solid knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib, etc.) Understanding of model evaluation, data pre-processing techniques, such as standardisation, normalisation, and handling missing data Solid understanding of summary, robust, and nonparametric statistics More ❯
Newcastle Upon Tyne, Tyne And Wear, United Kingdom Hybrid / WFH Options
LeoVegas Group
to maintaining and improving analytical processes and deliverables across the team. Fluent in English. NICE TO HAVES Familiarity with advanced data visualization techniques (e.g., Matplotlib, Seaborn, Plotly). Experience in behavioural analytics software (Google Analytics or similar) Experience in Python, R, or advanced statistical analysis (e.g., A/B testing More ❯
Leeds, Yorkshire, United Kingdom Hybrid / WFH Options
LeoVegas Group
to maintaining and improving analytical processes and deliverables across the team. Fluent in English. NICE TO HAVES Familiarity with advanced data visualization techniques (e.g., Matplotlib, Seaborn, Plotly). Experience in behavioural analytics software (Google Analytics or similar). Experience in Python, R, or advanced statistical analysis (e.g., A/B More ❯
support the integration and application of data science approaches Desired requirements for the role are: Experience working with sophisticated data visualisation libraries such as Matplotlib and Plotly in Python Experience in a consultancy role Experience with data science related tools (e.g. Shiny, D3, AWS, dbt) Experience with statistical/analytical More ❯
support the integration and application of data science approaches Desired requirements for the role are: Experience working with sophisticated data visualisation libraries such as Matplotlib and Plotly in Python Experience in a consultancy role Experience with data science related tools (e.g. Shiny, D3, AWS, dbt) Experience with statistical/analytical More ❯
Job Description Data Scientist (Expertise in Databricks, Neo4j) - London - Remote Role - up to £90K - for a global management consultancy. We are looking for a skilled Data Scientist for a Global Management consulting Client. We are seeking a Data Scientist with More ❯
Data Scientist (Expertise in Databricks, Neo4j) - Remote Role - up to £90K We are looking for a skilled Sr. Data Scientist. We are seeking a Data Scientist with expertise in Databricks, SQL, cloud platforms, and machine learning to develop and implement More ❯
london, south east england, united kingdom Hybrid / WFH Options
Careerwise
Data Scientist (Expertise in Databricks, Neo4j) - Remote Role - up to £90K We are looking for a skilled Sr. Data Scientist. We are seeking a Data Scientist with expertise in Databricks, SQL, cloud platforms, and machine learning to develop and implement More ❯
and extend existing Commodities trading and research infrastructure together with Researchers and Support Engineers. Requirements: Comfortable in Python, in particular numerical libraries - numpy, pandas, matplotlib, etc. Basic knowledge of AWS. Basic knowledge of databases (e.g. SQL). Development practices - version control with Git, unit testing, etc. A quantitative mindset. Team More ❯
materials, or assessments. Requirements Data Analytics Expertise - Expertise with the software, tools, and techniques of data analysis. (We use Python, SQL, Tableau, StatsModels, SKLearn, Matplotlib, BeautifulSoup, Google Cloud. We can provide upskilling in required areas) Workshop Facilitation- Experience with delivering high quality engaging and accessible workshops. Personal Development Coaching Experience More ❯