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. Data engineering (pipelines, databases, infrastructure), ideally with AWS experience would be an advantage. Experience with data analysis More ❯
City of London, London, United Kingdom Hybrid/Remote Options
83zero Limited
Analytical Skills Hands-on experience with large data sets and data profiling. Proficiency in data tools: Power BI, Excel, SQL, Python, Databricks. Familiarity with tools like Great Expectations, Pandas, Plotly, or MS Power Automate is a plus. Able to work collaboratively and independently in a fast-paced environment. Ready to Apply? If you're excited by the opportunity to shape More ❯
London, Cordwainer, United Kingdom Hybrid/Remote Options
83zero Ltd
Analytical Skills Hands-on experience with large data sets and data profiling. Proficiency in data tools: Power BI, Excel, SQL, Python, Databricks. Familiarity with tools like Great Expectations, Pandas, Plotly, or MS Power Automate is a plus. Able to work collaboratively and independently in a fast-paced environment. Ready to Apply? If you're excited by the opportunity to shape More ❯
Employment Type: Permanent
Salary: £80000 - £90000/annum Bonus, Pension, PH, LA
Experience in commodities, energy trading, or shipping economics Familiarity with optimisation frameworks (MILP/LP) Exposure to cloud data streaming (Kafka, AWS Kinesis, or similar) Experience building dashboards (React, Plotly, Dash) Comfortable working across research, modelling, and implementation 💰 Salary & Benefits Competitive salary – expected range £70,000 – £90,000 , depending on experience Hybrid or fully remote working within the UK (occasional More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Insight Commodities
Experience in commodities, energy trading, or shipping economics Familiarity with optimisation frameworks (MILP/LP) Exposure to cloud data streaming (Kafka, AWS Kinesis, or similar) Experience building dashboards (React, Plotly, Dash) Comfortable working across research, modelling, and implementation 💰 Salary & Benefits Competitive salary – expected range £70,000 – £90,000 , depending on experience Hybrid or fully remote working within the UK (occasional More ❯
to driving business growth and success. The successful candidate will have a strong grasp of modern data modelling practices, analytics tooling, and interactive dashboard development in Power BI and Plotly/Dash (or similar). Key responsibilities Design and implement scalable data architectures and systems to support business intelligence and analytics needs. Develop, optimize, and maintain ETL pipelines for efficient … design. Enthusiasm for clean systems, including documentation, logging, and reproducibility. Experience working with AWS S3, Athena, ECS, Cloud Formation, Lambdas & Cloudwatch. Familiar with analytics tools such as Power BI, Plotly/Dash, or similar for building interactive and impactful visualizations. Passion for TDD. More ❯
City of London, London, United Kingdom Hybrid/Remote Options
OTA Recruitment
to driving business growth and success. The successful candidate will have a strong grasp of modern data modelling practices, analytics tooling, and interactive dashboard development in Power BI and Plotly/Dash (or similar). Key responsibilities Design and implement scalable data architectures and systems to support business intelligence and analytics needs. Develop, optimize, and maintain ETL pipelines for efficient … design. Enthusiasm for clean systems, including documentation, logging, and reproducibility. Experience working with AWS S3, Athena, ECS, Cloud Formation, Lambdas & Cloudwatch. Familiar with analytics tools such as Power BI, Plotly/Dash, or similar for building interactive and impactful visualizations. Passion for TDD. More ❯
