comply with data security and governance standards. Data Scientist experience we’re looking for – Proven experience in a commercial Data Science role. Strong proficiency in Python (including libraries like pandas, scikit-learn, TensorFlow or PyTorch). Solid understanding of machine learning algorithms, data modelling, and statistical analysis. Hands-on experience working with large datasets and data wrangling techniques. Familiarity with More ❯
macro trading. Proficient in Python development, Devops, and Linux environments. Expert experience data pipeline development, specifically ETL/ELT pipelines. Familiarity with data analytics tools and libraries, such as Pandas and NumPy. Skilled with relational and non-relational database management. Ability and willingness to collaborate with traders and analysts in a real time environment. Strong analytical and problem-solving abilities. More ❯
e.g., Matplotlib, Seaborn, Tableau). Ability to work independently and lead projects from inception to deployment. Desirable Skills: 5+ years experience in data science Data science libraries (e.g., NumPy, pandas, scikit-learn). Proficiency in working with large datasets, data wrangling, and data preprocessing. Experience in data science, statistical modelling, and data analytics techniques. Experience with big data technologies (e.g. More ❯
Databricks, Unity Catalog, Python, Git, MLFlow, Delta tables, Azure DevOps. Hands-on development experience using Python, particularly with TensorFlow, PyTorch, scikit-learn, boto3, and the Python Data Science stack (pandas, numpy, etc.). Strong analytical and problem-solving skills, with the ability to work with large-scale, complex datasets. Experience in automation, CI/CD, and Agile development environments. Implementing More ❯
positions). Develop and enhance an agentic analysis solution capable of performing multi-step financial analysis and processing, including data querying, variance analysis, data quality analysis, and Python/Pandas code generation and execution. Enable the chatbot to request and pull data, perform calculations, and create visual representations like pie charts to demonstrate data effectively. Develop and refine a robust More ❯
positions). Develop and enhance an agentic analysis solution capable of performing multi-step financial analysis and processing, including data querying, variance analysis, data quality analysis, and Python/Pandas code generation and execution. Enable the chatbot to request and pull data, perform calculations, and create visual representations like pie charts to demonstrate data effectively. Develop and refine a robust More ❯
systems (e.g. Red Hat, Ubuntu) Experience working within a variety of development frameworks and practices e.g. DevOps, DevSecOps, SCRUM, MLOps, XP. Experience with data analysis and manipulation tools (e.g. Pandas) Experience of a broad section of the Software Development Lifecycle (SDLC) with specific focus on: Design(Architecting, High-Level Design and Low-Level Design) Development Testing Deployment & Maintenance Experience of More ❯
positions). Develop and enhance an agentic analysis solution capable of performing multi-step financial analysis and processing, including data querying, variance analysis, data quality analysis, and Python/Pandas code generation and execution. Enable the chatbot to request and pull data, perform calculations, and create visual representations like pie charts to demonstrate data effectively. Develop and refine a robust More ❯
systems (e.g. Red Hat, Ubuntu) Experience working within a variety of development frameworks and practices e.g. DevOps, DevSecOps, SCRUM, MLOps, XP. Experience with data analysis and manipulation tools (e.g. Pandas) Experience of a broad section of the Software Development Lifecycle (SDLC) with specific focus on: Design(Architecting, High-Level Design and Low-Level Design) Development Testing Deployment & Maintenance Experience of More ❯
systems (e.g. Red Hat, Ubuntu) Experience working within a variety of development frameworks and practices e.g. DevOps, DevSecOps, SCRUM, MLOps, XP. Experience with data analysis and manipulation tools (e.g. Pandas) Experience of a broad section of the Software Development Lifecycle (SDLC) with specific focus on: Design(Architecting, High-Level Design and Low-Level Design) Development Testing Deployment & Maintenance Experience of More ❯
Bristol, Stoke Gifford, Gloucestershire, United Kingdom
Synoptix
systems (e.g. Red Hat, Ubuntu) Experience working within a variety of development frameworks and practices e.g. DevOps, DevSecOps, SCRUM, MLOps, XP. Experience with data analysis and manipulation tools (e.g. Pandas) Experience of a broad section of the Software Development Lifecycle (SDLC) with specific focus on: Design(Architecting, High-Level Design and Low-Level Design) Development Testing Deployment & Maintenance Experience of More ❯
Bristol, Stoke Gifford, Gloucestershire, United Kingdom
Synoptix
systems (e.g. Red Hat, Ubuntu) Experience working within a variety of development frameworks and practices e.g. DevOps, DevSecOps, SCRUM, MLOps, XP. Experience with data analysis and manipulation tools (e.g. Pandas) Experience of a broad section of the Software Development Lifecycle (SDLC) with specific focus on: Design(Architecting, High-Level Design and Low-Level Design) Development Testing Deployment & Maintenance Experience of More ❯
Experience deploying and managing applications using Azure and Docker. Familiarity with frameworks such as LangChain and expertise in Retrieval-Augmented Generation (RAG) models for AI-driven applications. Proficiency with pandas for data manipulation. Full Stack Developer - What's in it for you? Salary Reviews: Twice a year to recognise your contributions. Generous Annual Leave: Enjoy 25 days plus three days More ❯
language modeling, and semantic similarity. Strong proficiency in Python, including use of ML libraries such as TensorFlow, PyTorch, or similar. Experience with data science tools and platforms (e.g., Jupyter, Pandas, NumPy, MLFlow). Familiarity with cloud-based AI tools and infrastructure, especially within the AWS ecosystem. Strong understanding of data structures, algorithms, and statistical analysis. Experience working with ETL pipelines More ❯
language modeling, and semantic similarity. Strong proficiency in Python, including use of ML libraries such as TensorFlow, PyTorch, or similar. Experience with data science tools and platforms (e.g., Jupyter, Pandas, NumPy, MLFlow). Familiarity with cloud-based AI tools and infrastructure, especially within the AWS ecosystem. Strong understanding of data structures, algorithms, and statistical analysis. Experience working with ETL pipelines More ❯
About You Bachelor's Degree in a STEM subject, preferably from a Russell Group University. Strong mathematical and statistical background; expertise in Python and R, including libraries like Numpy, Pandas, Pytorch and Scikit-learn. Demonstrable experience in data science and a proven track record in developing predictive models. Experience contributing to a software project/product. Experience with databases. In More ❯
similar. Machine Learning: Solid understanding of supervised and unsupervised learning, deep learning (CNNs, RNNs, GANs), and reinforcement learning. Data Handling: Proficient in data manipulation and analysis using tools like Pandas, NumPy, and SQL. Experience working with large datasets. Category: Software About the Organization: ioMosaic is an integrated process safety and risk management consulting firm focused on helping you manage and More ❯
the platform and our technical approach Requirements Fluent in Python 3 Strong affinity for data, data cleansing and transformation/data wrangling and analysis, both visually and with Python (Pandas, Numpy) Confident use of REST APIs, JSON, SQL (ideally Snowflake) Strong coding standards and practices - clean code, testing, code reviews, version control (git) Experience with Machine Learning libraries would be More ❯
the platform and our technical approach Requirements Fluent in Python 3 Strong affinity for data, data cleansing and transformation/data wrangling and analysis, both visually and with Python (Pandas, Numpy) Confident use of REST APIs, JSON, SQL (ideally Snowflake) Strong coding standards and practices - clean code, testing, code reviews, version control (git) Experience with Machine Learning libraries would be More ❯
Experience deploying and managing applications using Azure and Docker. Familiarity with frameworks such as LangChain and expertise in Retrieval-Augmented Generation (RAG) models for AI-driven applications. Proficiency with pandas for data manipulation. Full Stack Developer - What's in it for you? Salary Reviews: Twice a year to recognise your contributions. Generous Annual Leave: Enjoy 25 days plus three days More ❯
the platform and our technical approach Requirements Fluent in Python 3 Strong affinity for data, data cleansing and transformation/data wrangling and analysis, both visually and with Python (Pandas, Numpy) Confident use of REST APIs, JSON, SQL (ideally Snowflake) Strong coding standards and practices - clean code, testing, code reviews, version control (git) Experience with Machine Learning libraries would be More ❯
science related field (e.g. machine learning, statistics, mathematics) Proficiency in statistical data modelling techniques. Proficiency with Python, including experience with statistics/machine learning packages such as scikit-learn, pandas, numpy, etc. Good SQL/data manipulation skills required including cleaning and managing data. Experience in data visualisation and communication. Experience with working with raw datasets and perform data wrangling More ❯
and statistics Excellent communication skills through written reports and presentations Organisational skills (e.g. planning, time management) Excellent Python, including relevant libraries for data analysis and machine learning (e.g. sklearn, Pandas, NumPy) and at least one deep learning framework Strong SQL for data analysis and manipulation Strong problem-solving and analytical skills, with high attention to detail Ability to think strategically More ❯
strong foundation in statistics, probability, and machine learning fundamentals - either through a STEM degree, formal training, or self-study. Fluency in Python and SQL, including experience with libraries like Pandas, Scikit-learn, or equivalent. Demonstrated ability to solve real-world problems pragmatically using data. Clear, structured communication - especially the ability to explain complex topics simply. A growth mindset: curious, driven More ❯
academic field Strong python programming skills as evidenced by earlier work in data science or software engineering. An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of More ❯
