326 to 350 of 836 Statistics Jobs in the UK

Data pipeline, Python, SQL, AWS Centralising data stored in RDBMS, Data Ingestion, and Uploading data into the database. Education: Bachelor's degree in quantitative field like Computer Science, Engineering, Statistics, Mathematics or related field required. Advanced degree is a strong plus More ❯

ISL (Rec.) Qualifications: To be considered for this Lead Data Scientist role you will need to have: - A Masters or PhD in a relevant discipline such as Computer Science, Statistics, Applied Mathematics, or Engineering - Strong experience with Python and R - A strong understanding of a number of the tools across the Hadoop ecosystem such as Spark, Hive, Impala & Pig - An More ❯

programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or PhD in a quantitative field (e.g., Mathematics, Computer Science, Physics, Engineering, Statistics) Excellent communication skills and ability to work in a collaborative, performance-driven environment More ❯

programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or PhD in a quantitative field (e.g., Mathematics, Computer Science, Physics, Engineering, Statistics) Excellent communication skills and ability to work in a collaborative, performance-driven environment More ❯

EXPERIENCE: A successful Data Scientist will have the following skills and experience: MSc or PhD level of education Strong Python skills and experience with Pandas A solid foundation in Statistics and ML. Experience with pricing THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary there are some fantastic More ❯

EXPERIENCE: A successful Data Scientist will have the following skills and experience: MSc or PhD level of education Strong Python skills and experience with Pandas A solid foundation in Statistics and ML. Experience with pricing THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary there are some fantastic More ❯

EXPERIENCE: A successful Data Scientist will have the following skills and experience: MSc or PhD level of education Strong Python skills and experience with Pandas A solid foundation in Statistics and ML. Experience with pricing THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary there are some fantastic More ❯

and academic research. Skills & Experience: Proficiency in at least one scripting language (Python, Matlab, R), with a strong preference for Python. Master's degree (or equivalent) in Economics, Finance, Statistics, Applied Mathematics, Computer Science, or a related STEM field. PhD research experience/publications in relevant fields are a plus. Strong problem-solving skills with an analytical and abstract reasoning More ❯

Azure preferred) Present findings clearly to non-technical stakeholders Support data governance and model lifecycle management What We're Looking For Solid background in data science, analytics, or applied statistics Proficiency in Python, SQL, and data visualisation tools (e.g. Power BI) Experience working in cross-functional teams in a commercial environment Knowledge of Azure ML, Databricks, or equivalent platforms Comfortable More ❯

controls Collaborate with Commercial Pricing to align models to business goals Mentor and support junior analysts and team members What We’re Looking For: Degree (graduate or postgraduate) in Statistics , Mathematics , or a related analytical field Experience in a pricing or actuarial role in general insurance Hands-on experience with Earnix or Radar Proficient in Python or R for data More ❯

teams to solve problems and identify opportunities Required Qualifications, Capabilities, and Skills: You have an advanced graduate degree (MS or PhD) or equivalent, in a quantitative field (Mathematics, Physics, Statistics, Engineering, Quantitative Finance, Computer Science) You demonstrate experience with advanced math models and their efficient implementation You have experience in a front-office trading environment You have experience in derivatives More ❯

technical skills and a passion for problem-solving with an intense curiosity about financial markets and human behaviour. About You: PhD or PhD candidate in machine learning, computer science, statistics, or a related field. Superb analytical and quantitative skills, along with a healthy streak of creativity. Demonstrated ability to conduct independent research utilizing large data sets. Curiosity about financial markets. More ❯

technical skills and a passion for problem-solving with an intense curiosity about financial markets and human behaviour. About You: PhD or PhD candidate in machine learning, computer science, statistics, or a related field. Superb analytical and quantitative skills, along with a healthy streak of creativity. Demonstrated ability to conduct independent research utilizing large data sets. Curiosity about financial markets. More ❯

teams to solve problems and identify opportunities Required Qualifications, Capabilities, and Skills: You have an advanced graduate degree (MS or PhD) or equivalent, in a quantitative field (Mathematics, Physics, Statistics, Engineering, Quantitative Finance, Computer Science) You demonstrate experience with advanced math models and their efficient implementation You have experience in a front-office trading environment You have experience in derivatives More ❯

Collaboration: Contribute to cross-asset initiatives and research projects, working alongside peers from other quantitative functions across the platform. Requirements & Qualifications Degree in a quantitative field such as Mathematics, Statistics, Engineering, Physics, or Computer Science (advanced degree such as a Master’s or PhD preferred). Proven experience developing financial models in Python and bringing code into production environments. Strong More ❯

Collaboration: Contribute to cross-asset initiatives and research projects, working alongside peers from other quantitative functions across the platform. Requirements & Qualifications Degree in a quantitative field such as Mathematics, Statistics, Engineering, Physics, or Computer Science (advanced degree such as a Master’s or PhD preferred). Proven experience developing financial models in Python and bringing code into production environments. Strong More ❯

tech-driven company, we’d love to hear from you. Experience Required: Educated to degree level in a relevant subject such as Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Statistics, Physics, Chemistry, Engineering etc. Strong programming skills with Python, building algorithms and models, and working with large, messy, complex data sets to model optimised process and performance. A deep background More ❯

tech-driven company, we’d love to hear from you. Experience Required: Educated to degree level in a relevant subject such as Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Statistics, Physics, Chemistry, Engineering etc. Strong programming skills with Python, building algorithms and models, and working with large, messy, complex data sets to model optimised process and performance. A deep background More ❯

skills, especially with large datasets. Good understanding of Office365 tools (Excel, PowerPoint, Word, SharePoint, Teams). Knowledge of model-driven apps and JavaScript. Proficiency in SQL, R, Python, GIS, statistics, or databases. Understanding of cloud services like Azure or AWS. Why SZC? Contribute to a major UK infrastructure project, shaping the future of energy in a supportive, innovative, and sustainable More ❯

and automated data processes to inform business decision making. • Proactively develop new metrics and studies to quantify customer behavior and reduce customer churn. BASIC QUALIFICATIONS - Bachelor's degree in statistics, business analytics, data analytics, data science, computer science or related field - Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. - Experience with one or more industry analytics visualization More ❯

skills, especially with large datasets. Good understanding of Office365 tools (Excel, PowerPoint, Word, SharePoint, Teams). Knowledge of model-driven apps and JavaScript. Proficiency in SQL, R, Python, GIS, statistics, or databases. Understanding of cloud services like Azure or AWS. Why SZC? Contribute to a major UK infrastructure project, shaping the future of energy in a supportive, innovative, and sustainable More ❯

skills, especially with large datasets. Good understanding of Office365 tools (Excel, PowerPoint, Word, SharePoint, Teams). Knowledge of model-driven apps and JavaScript. Proficiency in SQL, R, Python, GIS, statistics, or databases. Understanding of cloud services like Azure or AWS. Why SZC? Contribute to a major UK infrastructure project, shaping the future of energy in a supportive, innovative, and sustainable More ❯

multiple priorities in a fast-paced setting A collaborative mindset with the ability to turn complex data into clear strategic direction Degree in a quantitative field such as Maths, Statistics, Data Science, or Economics Certifications in analytics tools (e.g. GA4, Power BI, Tableau) are a plus Apply Now You can apply for the Data Analyst position now by sending us More ❯

libraries and frameworks (e.g., TensorFlow, Keras, Spark, LangChain) Strong software engineering foundations, including experience delivering code through CI/CD pipelines in cloud environments Solid grounding in linear algebra, statistics, and mathematics A natural problem-solver - curious, analytical, and impact-driven Proven ability to work collaboratively with engineering and product teams in cross-functional settings What would push your application More ❯

actively and document processes clearly. Enhance automation within data systems and software platforms. Support data quality improvement initiatives. Required Skills and Experience Advanced knowledge of data analysis. Proficiency in statistics, research methods, and data analysis. Excellent knowledge of programming languages such as SQL, Python, R. Experience with Power BI and other data visualization tools (desirable), and familiarity with cloud platforms More ❯