26 to 47 of 47 PySpark Jobs in the North West

outputs Contribute to strategy and best practice for the long-term development of the data science function Requirements Experience in a data science leadership position Expert use of Python, PySpark, and PyTorch Strong experience with AI and ML best practice and development Databricks and GCP experience Strong business and commercial acumen Excellent stakeholder management My client have already began More ❯

outputs Contribute to strategy and best practice for the long-term development of the data science function Requirements Experience in a data science leadership position Expert use of Python, PySpark, and PyTorch Strong experience with AI and ML best practice and development Databricks and GCP experience Strong business and commercial acumen Excellent stakeholder management My client have already began More ❯

outputs Contribute to strategy and best practice for the long-term development of the data science function Requirements Experience in a data science leadership position Expert use of Python, PySpark, and PyTorch Strong experience with AI and ML best practice and development Databricks and GCP experience Strong business and commercial acumen Excellent stakeholder management My client have already began More ❯

development of our Configurable Integrated Processing & Assurance System (CIPAS) and its associated management application. This work will involve using a range of modern open-source tools, such as: Python PySpark R Flask CSS Familiarity with all of these tools is not required to get the role, but Python and PySpark will be the main technologies you use day More ❯

predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW’s Radar and Emblem software is preferred Proficient at communicating results in More ❯

predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar and Emblem software is preferred Proficient at communicating results in More ❯

environment (e.g., retail, healthcare, logistics).Strong leadership capabilities with experience mentoring, developing, and managing high-performing analytics teams.Advanced analytical and problem-solving skills, with hands-on expertise in Python, PySpark, and SQL for data analysis and transformation.Proficiency in Power BI, with experience building intuitive dashboards and working within the Microsoft Fabric ecosystem.Demonstrated ability to work with large, complex datasets More ❯

Data Engineer Pay up to £38,373 , plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. As a Data Engineer you will be working within a high-performing team of engineers, developing data-centric solutions More ❯

Data Engineer Pay up to £38,373 , plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance. As a Data Engineer you will be working within a high-performing team of engineers, developing data-centric solutions More ❯

Clustering. Knowledge of the technical differences between different packages for some of these model types would be advantageous. Experience in statistical and data science programming languages (e.g., R, Python, PySpark, SAS, SQL). Experience of WTW’s Radar software is preferred. Proficient at communicating results concisely both verbally and in writing. Behaviours: Good communication and people management skills. Self More ❯

Knowledge of the technical differences between different packages for some of these model types would be an advantage. Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar software is preferred Proficient at communicating results in a concise More ❯

project leadership Proficiency in predictive modelling techniques such as Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets, and Clustering Strong skills in R, Python, PySpark, SAS, or SQL Proven ability to interpret performance data and make commercial recommendations Experience with WTW's Radar and Emblem software is preferred Excellent communication skills, with the ability More ❯

predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW’s Radar software is preferred Proficient at communicating results in a concise More ❯

predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Proven experience of modelling using WTW toolkit (Emblem and Radar) Proficient at communicating results in More ❯

tasks. Using specialist software to monitor trends and review impact of pricing proposals. Key Skills and Experience: Previous experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL). A quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science). Experience of WTW s Radar software is preferred, but not essential. Proficient at communicating More ❯

tasks. Using specialist software to monitor trends and review impact of pricing proposals. Key Skills and Experience: Previous experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL). A quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science). Experience of WTW's Radar software is preferred, but not essential. Proficient at communicating More ❯

project leadership Proficiency in predictive modelling techniques such as Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets, and Clustering Strong skills in R, Python, PySpark, SAS, or SQL Proven ability to interpret performance data and make commercial recommendations Experience with WTW’s Radar and Emblem software is preferred Excellent communication skills, with the ability More ❯

project leadership Proficiency in predictive modelling techniques such as Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets, and Clustering Strong skills in R, Python, PySpark, SAS, or SQL Proven ability to interpret performance data and make commercial recommendations Experience with WTW's Radar and Emblem software is preferred Excellent communication skills, with the ability More ❯

project leadership Proficiency in predictive modelling techniques such as Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets, and Clustering Strong skills in R, Python, PySpark, SAS, or SQL Proven ability to interpret performance data and make commercial recommendations Experience with WTW's Radar and Emblem software is preferred Excellent communication skills, with the ability More ❯

predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar software is preferred Proficient at communicating results in a concise More ❯

predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar software is preferred Proficient at communicating results in a concise More ❯

predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar software is preferred Proficient at communicating results in a concise More ❯