Location: London, Potters Bar, Bristol or Isle of Man (hybrid working options available) As Data Science lead you will manage a team of high functioning Data Scientists to help with our growth strategy. You will ensure that your team are contributing to both the short- and long-term decision making of the business, as you help to embed the utilisation of data as a product, this could range from building propensity modelling, LTV predictions, incremental testing, segmentation modelling, econometrics in addition to guiding each team member to set ambitious strategies, working towards these in a data driven way. Good customer and commercial outcomes will be executed through your analytics. Proven incremental benefit through well-structured data science, analytics, and modelling, will help promote the benefits of the function. You will work collaboratively with Proposition and Pricing teams, Marketing, Risk, Finance, Customer Service, and IT & Change to set out and deliver a long-term strategy for growth using data. You will share this vision and progress with the senior leadership team and the Executive. You will create and maintain a series of use cases, which showcase the use of data science, artificial intelligence, and machine learning. You will have substantial management experience, confident working with senior leaders, Executive and Board members. In addition to management experience, marketing experience is important, with a track record of driving growth using multiple levers and a strong ability of being able to drive decisions with data and history of management. You will be responsible for influencing product, marketing, and business outcomes, having the autonomy to make things happen and must obsess about having business impact. You will drive a high standard of work and hold a high bar for impact. You will help to support the requirements of a modern data platform to underpin the company's growth through data services, ensuring standards and technologies create efficient analysis for transactional and strategic modelling. You will drive innovative data science techniques into the business, utilising AI & ML technologies. You will be working collaboratively across a Data Council to deliver strategic data driven initiatives. You'll have the opportunity to make a difference with your skills and you'll mentor team members to help them develop, both through direct and matrix management. You will have a direct impact on increasing data literacy within CLUK. This role requires a deep understanding of data science techniques and services. The role is a technical role and as such you will have a wealth of experience in driving data-driven decision-making across the organisation. You will be able to tackle complex problems using a range of methods, guiding your team through a constant test and learn culture, helping to raise the bar and to help innovate. Duties/Responsibilities Data Science strategy, vision, and roadmap Support the Head of Data & Insight by defining and communicating the data science strategy, vision, and roadmap. Identifying use cases that support the long-term customer and commercial strategy within the business. Prioritising cases based on good customer outcomes, business objectives and customer experience. Business requirements and data development through Data Science Collaborating with business stakeholders and Data Council to gather and document detailed requirements for data science use cases, including defining use cases, acceptance criteria and functional specifications. Working closely with the IT and change functions in an agile environment, participating in sprints, backlog and daily stand-ups, as well as provide data science oversight to the product owner SMEs. You will be expected to provide guidance and clarification on product requirements, review and approve deliverables and ensure timely and high-quality product releases for the business. Managing a team of Data Scientists Day-to-day management of a team of data science specialists. Helping the team to determine the best route for tackling use cases (which might be determined by understanding the scope, identifying possible techniques and approaches, and outlining both the business and technical advantages or drawbacks to each). Improving data literacy across the business Engage with both technical and non-technical audiences to explain the business value of a data science projects. Project delivery You will be required to build innovative and effective approaches to solving analytics problems and communicating clear and relevant results and methodologies to internal stakeholders. Will include business as usual as well as special projects. Knowledge, Skills and Experience Extensive experience of managing multidisciplinary data teams (including data science, software development, research) Experience of "in the field" practitioner experience of various analytical methods including Machine Learning & Articifical Intelligence Experience of Business Analytics, Experience stakeholder management, including senior leaders, Executives and Board members. Marketing experience, with a track record of achieving growth using data driven reasoning
Apr 10, 2024
Full time
Location: London, Potters Bar, Bristol or Isle of Man (hybrid working options available) As Data Science lead you will manage a team of high functioning Data Scientists to help with our growth strategy. You will ensure that your team are contributing to both the short- and long-term decision making of the business, as you help to embed the utilisation of data as a product, this could range from building propensity modelling, LTV predictions, incremental testing, segmentation modelling, econometrics in addition to guiding each team member to set ambitious strategies, working towards these in a data driven way. Good customer and commercial outcomes will be executed through your analytics. Proven incremental benefit through well-structured data science, analytics, and modelling, will help promote the benefits of the function. You will work collaboratively with Proposition and Pricing teams, Marketing, Risk, Finance, Customer Service, and IT & Change to set out and deliver a long-term strategy for growth using data. You will share this vision and progress with the senior leadership team and the Executive. You will create and maintain a series of use cases, which showcase the use of data science, artificial intelligence, and machine learning. You will have substantial management experience, confident working with senior leaders, Executive and Board members. In addition to management experience, marketing experience is important, with a track record of driving growth using multiple levers and a strong ability of being able to drive decisions with data and history of management. You will be responsible for influencing product, marketing, and business outcomes, having the autonomy to make things happen and must obsess about having business impact. You will drive a high standard of work and hold a high bar for impact. You will help to support the requirements of a modern data platform to underpin the company's growth through data services, ensuring standards and technologies create efficient analysis for transactional and strategic modelling. You will drive innovative data science techniques into the business, utilising AI & ML technologies. You will be working collaboratively across a Data Council to deliver strategic data driven initiatives. You'll have the opportunity to make a difference with your skills and you'll mentor team members to help them develop, both through direct and matrix management. You will have a direct impact on increasing data literacy within CLUK. This role requires a deep understanding of data science techniques and services. The role is a technical role and as such you will have a wealth of experience in driving data-driven decision-making across the organisation. You will be able to tackle complex problems using a range of methods, guiding your team through a constant test and learn culture, helping to raise the bar and to help innovate. Duties/Responsibilities Data Science strategy, vision, and roadmap Support the Head of Data & Insight by defining and communicating the data science strategy, vision, and roadmap. Identifying use cases that support the long-term customer and commercial strategy within the business. Prioritising cases based on good customer outcomes, business objectives and customer experience. Business requirements and data development through Data Science Collaborating with business stakeholders and Data Council to gather and document detailed requirements for data science use cases, including defining use cases, acceptance criteria and functional specifications. Working closely with the IT and change functions in an agile environment, participating in sprints, backlog and daily stand-ups, as well as provide data science oversight to the product owner SMEs. You will be expected to provide guidance and clarification on product requirements, review and approve deliverables and ensure timely and high-quality product releases for the business. Managing a team of Data Scientists Day-to-day management of a team of data science specialists. Helping the team to determine the best route for tackling use cases (which might be determined by understanding the scope, identifying possible techniques and approaches, and outlining both the business and technical advantages or drawbacks to each). Improving data literacy across the business Engage with both technical and non-technical audiences to explain the business value of a data science projects. Project delivery You will be required to build innovative and effective approaches to solving analytics problems and communicating clear and relevant results and methodologies to internal stakeholders. Will include business as usual as well as special projects. Knowledge, Skills and Experience Extensive experience of managing multidisciplinary data teams (including data science, software development, research) Experience of "in the field" practitioner experience of various analytical methods including Machine Learning & Articifical Intelligence Experience of Business Analytics, Experience stakeholder management, including senior leaders, Executives and Board members. Marketing experience, with a track record of achieving growth using data driven reasoning
My client is looking for a Data Analyst within their Integrated Marketing Group who will work as part of a small team developing analytical services and will help to identify how technical solutions solve real-world problems and creative thinking. My client are experts in all thing's consumer and location, bringing together cutting-edge analytical techniques, creative thinking and diverse perspectives to drive growth for their clients. They build some of the most highly regarded, innovative datasets in the market and their people are the best at manipulating that data to provide insight to their clients. As part of the wider Marketing Solutions Divisions, you will be joining a 250 strong team working in over 50 markets globally. My client is a growing and dynamic group of analysts, data scientists and commercially savvy business development consultants who also provide thought leadership and creative thinking. Key Responsibilities: Developing an in-depth understanding of my clients data and in-house systems Coding and profiling their client's consumer databases Delivering off-the-shelf and bespoke datasets to aid client's understanding of their customers Contributing to innovation initiatives within the team, which constantly seek to improve efficiencies, develop new propositions, and research new ideas Supporting the delivery of a wide range of bespoke data science projects and tools using a range of different environments and languages Working alongside a variety of teams, from sales and account managers, through to statisticians and database technicians Adhering to my clients core values at all times: Transparency, Honesty, and integrity - we always do what's right and what is best for our clients The position offers an opportunity to acquire and develop skills in current analytics methodologies and technologies, and opportunities to progress into a variety of roles Skills You are personable, adaptable, inquisitive and willing to learn Attention to details Logical thinker with strong problem-solving skills Strong organisational and multitasking skills You are a team player
Sep 22, 2022
Full time
My client is looking for a Data Analyst within their Integrated Marketing Group who will work as part of a small team developing analytical services and will help to identify how technical solutions solve real-world problems and creative thinking. My client are experts in all thing's consumer and location, bringing together cutting-edge analytical techniques, creative thinking and diverse perspectives to drive growth for their clients. They build some of the most highly regarded, innovative datasets in the market and their people are the best at manipulating that data to provide insight to their clients. As part of the wider Marketing Solutions Divisions, you will be joining a 250 strong team working in over 50 markets globally. My client is a growing and dynamic group of analysts, data scientists and commercially savvy business development consultants who also provide thought leadership and creative thinking. Key Responsibilities: Developing an in-depth understanding of my clients data and in-house systems Coding and profiling their client's consumer databases Delivering off-the-shelf and bespoke datasets to aid client's understanding of their customers Contributing to innovation initiatives within the team, which constantly seek to improve efficiencies, develop new propositions, and research new ideas Supporting the delivery of a wide range of bespoke data science projects and tools using a range of different environments and languages Working alongside a variety of teams, from sales and account managers, through to statisticians and database technicians Adhering to my clients core values at all times: Transparency, Honesty, and integrity - we always do what's right and what is best for our clients The position offers an opportunity to acquire and develop skills in current analytics methodologies and technologies, and opportunities to progress into a variety of roles Skills You are personable, adaptable, inquisitive and willing to learn Attention to details Logical thinker with strong problem-solving skills Strong organisational and multitasking skills You are a team player
JOB TITLE: Pricing and data analytics scientist
Grade: 3
LOCATION: London
Purpose: To develop and apply data science, machine learning and other statistical techniques to draw insights on insurance products, customers and operational processes and shape the strategic direction of data usage within the business
A talented Data Science Analyst to work within the technical pricing team. The purpose is to provide valuable insight and analytical services over diverse large scale data for the purposes of pricing in the first instance, but also a variety of other functions including: marketing, operations and counter fraud.
Working closely with technical pricing analysts and other data analysts elsewhere in the business, you will be responsible for expanding our data processing and technical modelling framework; establishing efficient ways of implementing segmentation and predictive models; and ensuring that our reusable data assets build smoothly on a regular basis.
Need for exceptionally strong academic background combined with a passion for innovation, outstanding technical skills in a variety of programming languages and modern statistical analytics tools, and exceptional statistical expertise. A technically focussed person who learns new programming languages for fun and can deliver robust solutions.
Key Responsibilities
* Develop, operate, support and continually optimise a common data analytical platform that can support rapid discovery and deployment of data products and enables a community of any data scientists and actuaries to easily obtain insight
* Take responsibility for the delivery of specific pieces of Data Science work, managing the overall process of delivery and taking responsibility for data, modelling and communication of analysis to stakeholders; including clear and actionable insight through advanced analysis and interpretation of multiple complex data sets
* Develop sophisticated and innovative data products that will have considerable and measurable impact; either in price determination, cost reduction, revenue increase or enable new business opportunities
* Adhering to a culture of "agile emergent design", work closely with the product deployment teams to enable the smooth and rapid transitioning of prototype data products and predictive models into robust product assets to be deployed into the business or market.
* Establish credibility and thought leadership in the area of data science and to engage with the business intelligence and MI teams to ensure best practice, influence and contribute to the development of strategic vision for data usage within the company.
Product & Technical Knowledge
* Strong academic background, e.g. expect a Masters Degree in computer science, physics or maths based or equivalent
* Advanced SQL for data manipulation or experience of managing large-scale data sets within an analytical function
* Advanced experience of commercial data science or analytics software (e.g. R, SAS, SPSS, MATLAB etc.)
* Advanced experience in supporting coding languages, such as C++, Python and/or Java
* Advanced working knowledge of development-like environments, including shell scripting, version control etc.
* Strong analytical, quantitative, problem-solving, and critical thinking skills
* Good written, verbal and presentation communication skills
* Ability to work collaboratively with other business units in order to achieve common objectives
* Organised self-starter, with drive and commitment; able to finish work with little supervision.
* Excellent interpersonal skills and the ability to maintain effective working relationships
* Exceptional statistical skills, experience of building predictive models using a wide variety of tools and techniques (including: neural network, linear or logistic regression, random forest, gradient boosted machines, LASSO)
May 02, 2017
JOB TITLE: Pricing and data analytics scientist
Grade: 3
LOCATION: London
Purpose: To develop and apply data science, machine learning and other statistical techniques to draw insights on insurance products, customers and operational processes and shape the strategic direction of data usage within the business
A talented Data Science Analyst to work within the technical pricing team. The purpose is to provide valuable insight and analytical services over diverse large scale data for the purposes of pricing in the first instance, but also a variety of other functions including: marketing, operations and counter fraud.
Working closely with technical pricing analysts and other data analysts elsewhere in the business, you will be responsible for expanding our data processing and technical modelling framework; establishing efficient ways of implementing segmentation and predictive models; and ensuring that our reusable data assets build smoothly on a regular basis.
Need for exceptionally strong academic background combined with a passion for innovation, outstanding technical skills in a variety of programming languages and modern statistical analytics tools, and exceptional statistical expertise. A technically focussed person who learns new programming languages for fun and can deliver robust solutions.
Key Responsibilities
* Develop, operate, support and continually optimise a common data analytical platform that can support rapid discovery and deployment of data products and enables a community of any data scientists and actuaries to easily obtain insight
* Take responsibility for the delivery of specific pieces of Data Science work, managing the overall process of delivery and taking responsibility for data, modelling and communication of analysis to stakeholders; including clear and actionable insight through advanced analysis and interpretation of multiple complex data sets
* Develop sophisticated and innovative data products that will have considerable and measurable impact; either in price determination, cost reduction, revenue increase or enable new business opportunities
* Adhering to a culture of "agile emergent design", work closely with the product deployment teams to enable the smooth and rapid transitioning of prototype data products and predictive models into robust product assets to be deployed into the business or market.
* Establish credibility and thought leadership in the area of data science and to engage with the business intelligence and MI teams to ensure best practice, influence and contribute to the development of strategic vision for data usage within the company.
Product & Technical Knowledge
* Strong academic background, e.g. expect a Masters Degree in computer science, physics or maths based or equivalent
* Advanced SQL for data manipulation or experience of managing large-scale data sets within an analytical function
* Advanced experience of commercial data science or analytics software (e.g. R, SAS, SPSS, MATLAB etc.)
* Advanced experience in supporting coding languages, such as C++, Python and/or Java
* Advanced working knowledge of development-like environments, including shell scripting, version control etc.
* Strong analytical, quantitative, problem-solving, and critical thinking skills
* Good written, verbal and presentation communication skills
* Ability to work collaboratively with other business units in order to achieve common objectives
* Organised self-starter, with drive and commitment; able to finish work with little supervision.
* Excellent interpersonal skills and the ability to maintain effective working relationships
* Exceptional statistical skills, experience of building predictive models using a wide variety of tools and techniques (including: neural network, linear or logistic regression, random forest, gradient boosted machines, LASSO)
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
Data Scientist - Industry Leading Retailer
We have a really exciting role available for a driven data scientist to be responsible for driving the value of data and in turn the commercial performance and customer user experience. Working from the office in Bradford, you will be working in a small team along with an Online manager and Insight and online specialist.
Location: Bradford
Salary: to £65K + Bonus!
Type: Permanent
Key responsibilities
You will be responsible for the online teams data strategy to ensure the customer experience is improved through personalization incentives, you will also be required to shape and improve data science and CRM agenda.
Your main responsibilities will lie within 4 sectors:
Customer
Colleague
Operational
Sales, Profit and Cash
As such, this is a varied role which will provide the right candidate with full ownership.
Person specification
Experience in Google Analytics and Google Big Query is desirable, you will understand relational databases and will be a fantastic communicator able to build relationships with IT, Marketing and trading departments.
You will be skilled in data analysis and modelling in Python or any other suitable tool and will be able to use data analysis to generate actionable insights and improve return on investment.
Next Steps
Don't hesitate to get in touch with us ASAP, this position is to start in the next couple of weeks!
CONTACT
N: Ashley Loofe
E:
T: (Apply online only)
MRJ Recruitment is a niche Recruiter, challenging the norm. With offices in Manchester and London we have grown to become a trusted Recruitment partner to some of the leading names across the Retail and Digital industries since we were formed 5 years ago. For more information on MRJ and for a list of our current vacancies, please visit us today at (url removed)
Sep 09, 2016
Data Scientist - Industry Leading Retailer
We have a really exciting role available for a driven data scientist to be responsible for driving the value of data and in turn the commercial performance and customer user experience. Working from the office in Bradford, you will be working in a small team along with an Online manager and Insight and online specialist.
Location: Bradford
Salary: to £65K + Bonus!
Type: Permanent
Key responsibilities
You will be responsible for the online teams data strategy to ensure the customer experience is improved through personalization incentives, you will also be required to shape and improve data science and CRM agenda.
Your main responsibilities will lie within 4 sectors:
Customer
Colleague
Operational
Sales, Profit and Cash
As such, this is a varied role which will provide the right candidate with full ownership.
Person specification
Experience in Google Analytics and Google Big Query is desirable, you will understand relational databases and will be a fantastic communicator able to build relationships with IT, Marketing and trading departments.
You will be skilled in data analysis and modelling in Python or any other suitable tool and will be able to use data analysis to generate actionable insights and improve return on investment.
Next Steps
Don't hesitate to get in touch with us ASAP, this position is to start in the next couple of weeks!
CONTACT
N: Ashley Loofe
E:
T: (Apply online only)
MRJ Recruitment is a niche Recruiter, challenging the norm. With offices in Manchester and London we have grown to become a trusted Recruitment partner to some of the leading names across the Retail and Digital industries since we were formed 5 years ago. For more information on MRJ and for a list of our current vacancies, please visit us today at (url removed)
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