Salt Search
Salt Search
Data Scientist My client is a leading Global Hedge Fund & Financials company looking for a Data Scientist to join on an initial 6 - 12 Month contract. The role will focus heavily on Machine Learning and Data Pipelining. Experience - R or Python programming skills Snowflake AWS Experience in the financial industry is a plus Creative and analytical thought process and aptitude for problem solving; Post Graduate qualifications (quantitative MSc/PhD) in Software Engineering, Statistics, Applied Mathematics, Econometrics, Electronic Engineering or any other relevant quantitative discipline At least 5 years of post-qualification experience of working in relevant Software Engineering or Analytics field. Any experience with Machine Learning and Data Pipelining a plus This job ad was posted by Salt. To find out more about Salt's Privacy Policy and how your application is processed, please visit our website https://privacy-policy/.
Feb 15, 2019
Salt Search
Salt Search
Data Scientist My client is a leading Global Hedge Fund & Financials company looking for a Data Scientist to join on an initial 6 - 12 Month contract. The role will focus heavily on Machine Learning and Data Pipelining. Experience - R or Python programming skills Snowflake AWS Experience in the financial industry is a plus Creative and analytical thought process and aptitude for problem solving; Post Graduate qualifications (quantitative MSc/PhD) in Software Engineering, Statistics, Applied Mathematics, Econometrics, Electronic Engineering or any other relevant quantitative discipline At least 5 years of post-qualification experience of working in relevant Software Engineering or Analytics field. Any experience with Machine Learning and Data Pipelining a plus This job ad was posted by Salt. To find out more about Salt's Privacy Policy and how your application is processed, please visit our website https://privacy-policy/.
Salt Search
Data Scientist My client is a leading Global Hedge Fund & Financials company looking for a Data Scientist to join on an initial 6 - 12 Month contract. The role will focus heavily on Machine Learning and Data Pipelining. Experience - R or Python programming skills Snowflake AWS Experience in the financial industry is a plus Creative and analytical thought process and aptitude for problem solving; Post Graduate qualifications (quantitative MSc/PhD) in Software Engineering, Statistics, Applied Mathematics, Econometrics, Electronic Engineering or any other relevant quantitative discipline At least 5 years of post-qualification experience of working in relevant Software Engineering or Analytics field. Any experience with Machine Learning and Data Pipelining a plus This job ad was posted by Salt. To find out more about Salt's Privacy Policy and how your application is processed, please visit our website https://privacy-policy/.
Feb 15, 2019
Salt Search
Data Scientist My client is a leading Global Hedge Fund & Financials company looking for a Data Scientist to join on an initial 6 - 12 Month contract. The role will focus heavily on Machine Learning and Data Pipelining. Experience - R or Python programming skills Snowflake AWS Experience in the financial industry is a plus Creative and analytical thought process and aptitude for problem solving; Post Graduate qualifications (quantitative MSc/PhD) in Software Engineering, Statistics, Applied Mathematics, Econometrics, Electronic Engineering or any other relevant quantitative discipline At least 5 years of post-qualification experience of working in relevant Software Engineering or Analytics field. Any experience with Machine Learning and Data Pipelining a plus This job ad was posted by Salt. To find out more about Salt's Privacy Policy and how your application is processed, please visit our website https://privacy-policy/.
Calling all Data Scientists: My client, one of the largest health and beauty retailers in the world are currently seeking a Data Scientist to join their London office. The Data Scientist will be responsible for translating the delivery of the company’s global group customer strategy. As a Senior Data Scientist, you will be using customer’s data and insight through the evolving data landscape.
Core competencies
• Stakeholder management – clear communication across businesses and functions to management agreed expectations
• Result-Orientated – focused on measurement and areas to improve results
• Innovative – Recommend changes based on scientific understanding of customers
• Insights and Impact – ability to apply insights to maximise impact and opportunities
• Collaborative - Works collaboratively across businesses and functions to share best practice and specialist expertise within the CRM team, the BU, and out to Group
• Expertise - Can demonstrate expertise in analytics and provide thought leadership in CRM and analytics.
• Knowledge of direct marketing metrics and tools.
• Minimum of 3 years of relevant marketing experience in customer insights analytics, segmentation or commercial analyst role
• University graduate or equivalent with strong analytical skills. Background in Operations Research, Marketing Science, Economics, Quantitative Psychology, Applied Mathematics, and related quantitative fields.
• Experience with data related tools
- Analytics, Database and Data mining skills in either SAS, Oracle, or SQL
- Advanced Excel skills (e.g. v-lookups, pivot tables, VB macro scripting)
• Retail Analytics. Strong Retail / FMCG experience at an International level
• Experience of working with a high volume of SKU level transactional and customer data across multiple databases
• Experience in loyalty, direct marketing, and marketing analytics
• Strong presentation skills and experience in generating and sharing meaningful customer insights across business categories and multiple stakeholders (up to director level) to drive business decisions and trading plans
• Expert in managing multiple stakeholders and driving action from insights shared
• Evidence of mentoring of other analysts and line-management
• Multilingual. Ability to discuss business topics on CRM analytics, ideally native French speaker
• Excellent project management and time management skills. Ability to multi-task and keep calm under pressure.
If you have the above and are looking for your next move, please click apply for immediate consideration
Sep 09, 2016
Calling all Data Scientists: My client, one of the largest health and beauty retailers in the world are currently seeking a Data Scientist to join their London office. The Data Scientist will be responsible for translating the delivery of the company’s global group customer strategy. As a Senior Data Scientist, you will be using customer’s data and insight through the evolving data landscape.
Core competencies
• Stakeholder management – clear communication across businesses and functions to management agreed expectations
• Result-Orientated – focused on measurement and areas to improve results
• Innovative – Recommend changes based on scientific understanding of customers
• Insights and Impact – ability to apply insights to maximise impact and opportunities
• Collaborative - Works collaboratively across businesses and functions to share best practice and specialist expertise within the CRM team, the BU, and out to Group
• Expertise - Can demonstrate expertise in analytics and provide thought leadership in CRM and analytics.
• Knowledge of direct marketing metrics and tools.
• Minimum of 3 years of relevant marketing experience in customer insights analytics, segmentation or commercial analyst role
• University graduate or equivalent with strong analytical skills. Background in Operations Research, Marketing Science, Economics, Quantitative Psychology, Applied Mathematics, and related quantitative fields.
• Experience with data related tools
- Analytics, Database and Data mining skills in either SAS, Oracle, or SQL
- Advanced Excel skills (e.g. v-lookups, pivot tables, VB macro scripting)
• Retail Analytics. Strong Retail / FMCG experience at an International level
• Experience of working with a high volume of SKU level transactional and customer data across multiple databases
• Experience in loyalty, direct marketing, and marketing analytics
• Strong presentation skills and experience in generating and sharing meaningful customer insights across business categories and multiple stakeholders (up to director level) to drive business decisions and trading plans
• Expert in managing multiple stakeholders and driving action from insights shared
• Evidence of mentoring of other analysts and line-management
• Multilingual. Ability to discuss business topics on CRM analytics, ideally native French speaker
• Excellent project management and time management skills. Ability to multi-task and keep calm under pressure.
If you have the above and are looking for your next move, please click apply for immediate consideration
Calling all Data Scientists: My client, one of the largest health and beauty retailers in the world are currently seeking a Data Scientist to join their London office. The Data Scientist will be responsible for translating the delivery of the company’s global group customer strategy. As a Senior Data Scientist, you will be using customer’s data and insight through the evolving data landscape.
Core competencies
• Stakeholder management – clear communication across businesses and functions to management agreed expectations
• Result-Orientated – focused on measurement and areas to improve results
• Innovative – Recommend changes based on scientific understanding of customers
• Insights and Impact – ability to apply insights to maximise impact and opportunities
• Collaborative - Works collaboratively across businesses and functions to share best practice and specialist expertise within the CRM team, the BU, and out to Group
• Expertise - Can demonstrate expertise in analytics and provide thought leadership in CRM and analytics.
• Knowledge of direct marketing metrics and tools.
• Minimum of 3 years of relevant marketing experience in customer insights analytics, segmentation or commercial analyst role
• University graduate or equivalent with strong analytical skills. Background in Operations Research, Marketing Science, Economics, Quantitative Psychology, Applied Mathematics, and related quantitative fields.
• Experience with data related tools
- Analytics, Database and Data mining skills in either SAS, Oracle, or SQL
- Advanced Excel skills (e.g. v-lookups, pivot tables, VB macro scripting)
• Retail Analytics. Strong Retail / FMCG experience at an International level
• Experience of working with a high volume of SKU level transactional and customer data across multiple databases
• Experience in loyalty, direct marketing, and marketing analytics
• Strong presentation skills and experience in generating and sharing meaningful customer insights across business categories and multiple stakeholders (up to director level) to drive business decisions and trading plans
• Expert in managing multiple stakeholders and driving action from insights shared
• Evidence of mentoring of other analysts and line-management
• Multilingual. Ability to discuss business topics on CRM analytics, ideally native French speaker
• Excellent project management and time management skills. Ability to multi-task and keep calm under pressure.
If you have the above and are looking for your next move, please click apply for immediate consideration
Sep 09, 2016
Calling all Data Scientists: My client, one of the largest health and beauty retailers in the world are currently seeking a Data Scientist to join their London office. The Data Scientist will be responsible for translating the delivery of the company’s global group customer strategy. As a Senior Data Scientist, you will be using customer’s data and insight through the evolving data landscape.
Core competencies
• Stakeholder management – clear communication across businesses and functions to management agreed expectations
• Result-Orientated – focused on measurement and areas to improve results
• Innovative – Recommend changes based on scientific understanding of customers
• Insights and Impact – ability to apply insights to maximise impact and opportunities
• Collaborative - Works collaboratively across businesses and functions to share best practice and specialist expertise within the CRM team, the BU, and out to Group
• Expertise - Can demonstrate expertise in analytics and provide thought leadership in CRM and analytics.
• Knowledge of direct marketing metrics and tools.
• Minimum of 3 years of relevant marketing experience in customer insights analytics, segmentation or commercial analyst role
• University graduate or equivalent with strong analytical skills. Background in Operations Research, Marketing Science, Economics, Quantitative Psychology, Applied Mathematics, and related quantitative fields.
• Experience with data related tools
- Analytics, Database and Data mining skills in either SAS, Oracle, or SQL
- Advanced Excel skills (e.g. v-lookups, pivot tables, VB macro scripting)
• Retail Analytics. Strong Retail / FMCG experience at an International level
• Experience of working with a high volume of SKU level transactional and customer data across multiple databases
• Experience in loyalty, direct marketing, and marketing analytics
• Strong presentation skills and experience in generating and sharing meaningful customer insights across business categories and multiple stakeholders (up to director level) to drive business decisions and trading plans
• Expert in managing multiple stakeholders and driving action from insights shared
• Evidence of mentoring of other analysts and line-management
• Multilingual. Ability to discuss business topics on CRM analytics, ideally native French speaker
• Excellent project management and time management skills. Ability to multi-task and keep calm under pressure.
If you have the above and are looking for your next move, please click apply for immediate consideration
Calling all Data Scientists: My client, one of the largest health and beauty retailers in the world are currently seeking a Data Scientist to join their London office. The Data Scientist will be responsible for translating the delivery of the company’s global group customer strategy. As a Senior Data Scientist, you will be using customer’s data and insight through the evolving data landscape.
Core competencies
• Stakeholder management – clear communication across businesses and functions to management agreed expectations
• Result-Orientated – focused on measurement and areas to improve results
• Innovative – Recommend changes based on scientific understanding of customers
• Insights and Impact – ability to apply insights to maximise impact and opportunities
• Collaborative - Works collaboratively across businesses and functions to share best practice and specialist expertise within the CRM team, the BU, and out to Group
• Expertise - Can demonstrate expertise in analytics and provide thought leadership in CRM and analytics.
• Knowledge of direct marketing metrics and tools.
• Minimum of 3 years of relevant marketing experience in customer insights analytics, segmentation or commercial analyst role
• University graduate or equivalent with strong analytical skills. Background in Operations Research, Marketing Science, Economics, Quantitative Psychology, Applied Mathematics, and related quantitative fields.
• Experience with data related tools
- Analytics, Database and Data mining skills in either SAS, Oracle, or SQL
- Advanced Excel skills (e.g. v-lookups, pivot tables, VB macro scripting)
• Retail Analytics. Strong Retail / FMCG experience at an International level
• Experience of working with a high volume of SKU level transactional and customer data across multiple databases
• Experience in loyalty, direct marketing, and marketing analytics
• Strong presentation skills and experience in generating and sharing meaningful customer insights across business categories and multiple stakeholders (up to director level) to drive business decisions and trading plans
• Expert in managing multiple stakeholders and driving action from insights shared
• Evidence of mentoring of other analysts and line-management
• Multilingual. Ability to discuss business topics on CRM analytics, ideally native French speaker
• Excellent project management and time management skills. Ability to multi-task and keep calm under pressure.
If you have the above and are looking for your next move, please click apply for immediate consideration
Sep 09, 2016
Calling all Data Scientists: My client, one of the largest health and beauty retailers in the world are currently seeking a Data Scientist to join their London office. The Data Scientist will be responsible for translating the delivery of the company’s global group customer strategy. As a Senior Data Scientist, you will be using customer’s data and insight through the evolving data landscape.
Core competencies
• Stakeholder management – clear communication across businesses and functions to management agreed expectations
• Result-Orientated – focused on measurement and areas to improve results
• Innovative – Recommend changes based on scientific understanding of customers
• Insights and Impact – ability to apply insights to maximise impact and opportunities
• Collaborative - Works collaboratively across businesses and functions to share best practice and specialist expertise within the CRM team, the BU, and out to Group
• Expertise - Can demonstrate expertise in analytics and provide thought leadership in CRM and analytics.
• Knowledge of direct marketing metrics and tools.
• Minimum of 3 years of relevant marketing experience in customer insights analytics, segmentation or commercial analyst role
• University graduate or equivalent with strong analytical skills. Background in Operations Research, Marketing Science, Economics, Quantitative Psychology, Applied Mathematics, and related quantitative fields.
• Experience with data related tools
- Analytics, Database and Data mining skills in either SAS, Oracle, or SQL
- Advanced Excel skills (e.g. v-lookups, pivot tables, VB macro scripting)
• Retail Analytics. Strong Retail / FMCG experience at an International level
• Experience of working with a high volume of SKU level transactional and customer data across multiple databases
• Experience in loyalty, direct marketing, and marketing analytics
• Strong presentation skills and experience in generating and sharing meaningful customer insights across business categories and multiple stakeholders (up to director level) to drive business decisions and trading plans
• Expert in managing multiple stakeholders and driving action from insights shared
• Evidence of mentoring of other analysts and line-management
• Multilingual. Ability to discuss business topics on CRM analytics, ideally native French speaker
• Excellent project management and time management skills. Ability to multi-task and keep calm under pressure.
If you have the above and are looking for your next move, please click apply for immediate consideration