6 of 6 Statistical Modelling Jobs in Lancashire

or areas for improvement Grow the impact of Data Science across the Group, increase the number of deployed solutions, identify previously unexplored areas of modelling or analysis Role model best practice, with focuses on efficiency and long term success Monitor the latest techniques and solutions being utilised in the … standards/regulations at all times. Any other reasonable duties Experience & knowledge Extensive hands-on experience applying data science techniques to general insurance predictive modelling problems Strong track record of stakeholder management, modelling projects and successful deployment Deep understanding and familiarity with a variety of statistical models … able to recruit and develop a strong team Good communication skills, both verbal and written Good time management and organisation skills Proven analytical and statistical modelling skills Degree in Data Science or other quantitative field Behaviours Self-motivated and enthusiastic with the desire to meet or exceed targets More ❯

bias towards action in resolving issues and operate in a high-energy, fast-paced environment Hands on experience in A/B testing and statistical modeling/forecasting Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees More ❯

AI, Data Science and Analytics, with a proven track record of successfully delivered work across the ML lifecycle with a strong foundation in applying statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies. Keen to demonstrate the potential that Gen AI has More ❯

of SQL, data warehousing concepts, and database management. ETL Processes: Experience with Extract, Transform, Load (ETL) processes (e.g. SSIS, AWS Glue, DBT). Data Modelling: Ability to create and manage data models. Data Analysis: Advanced data analysis and modelling skills, including statistical analysis and predictive modelling. Modern More ❯

independence and responsibility. Stay up-to-date with technological developments, research, and emerging trends in machine learning, AI, and data science. Apply expertise in statistical modeling, forecasting, optimization, and advanced analytics to address customer needs. Communicate complex data insights clearly and effectively to both technical and non-technical audiences. … Work with various datasets, utilizing tools like R, Python, SQL, and statistical software to derive actionable insights. Contribute to data visualization efforts and support decision-making by translating data into business value. Continuously seek opportunities to expand your role and impact as UiPath grows. What you'll bring to … Python, or similar tools being a plus. Familiarity with relational databases and intermediate-level SQL knowledge. A solid understanding of a broad range of statistical techniques and data analysis methods. Excellent verbal and written communication skills, with the ability to explain complex concepts to non-technical stakeholders. Personal attributes More ❯

Proactive, adaptable, and results-focused; committed to data quality and able to perform in fast-paced environments. Analytical: Strong analytical skills with expertise in statistical analysis, predictive modelling, and interpreting complex data to deliver actionable insights. Communication: Clear and confident communicator with the ability to explain technical concepts … to non-technical stakeholders and influence through data-driven insights. Technical: Proficient in Alteryx, Power BI, SAP Analytics Cloud; experienced with Snowflake and data modelling; familiarity with R and Python highly desirable. Financial Services: Experience working in a Finance firm, preferably Wealth Manager/Private Bank/Hedge Fund. More ❯