dunnhumby

dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail – one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First. Job Title: Senior Engineer - (Multiple positions available) Job Location: 3825 Edwards Road, Suite 600, Cincinnati, OH 45209 (May work remotely) Job Duties: WHY I DO MY JOB | Job purpose To contribute to the success of the engineering team by autonomously delivering on the development and deployment of new technology products and/or platforms that drive excellent solutions for clients in order to enable dunnhumby to grow. May work remotely from home office within U.S., consistent with dunnhumby’s remote work policy. WHAT I DO | Key accountabilities - Deliver autonomously on development and deployment of complex applications, components, software, platforms or services that are used at scale. - Conduct requirements analysis, balance different requirements and make technical trade off decisions at application level (e.g. component design). - Lead exciting end-to-end projects of certain complexity and ensure Service Level Agreements are successfully delivered. - Define and develop solutions to technical problems that arise. - Provide advice and guidance to junior colleagues as required to resolve specific challenges they are having and conduct design and code reviews. - Identify and advise on improvement opportunities and automate and simplify test and operations processes. - Use your expertise to input into reengineering and design. - Act as a subject matter expert for focus areas across the technology space. Job requirements: - Bachelor’s degree or higher (or foreign educational equivalent) in Computer Science, Mathematics, Physics, Electronics, Engineering or related field. In addition to the degree, must have at least 5 years of experience in each of the following: - Software development using Agile; - Software testing and debugging; - Cloud infrastructure, management and hosting; and - Infrastructure as code / DevOps using Kubernetes. Within this, must have at least 4 years of experience in each of the following: - Data analysis and modelling; - Working with big data using Hadoop/HDFS; and - Utilizing at least 2 of the following programming languages: Scala, C#/C++, Javascript / React, SQL, Python, PHP. What you can expect from us We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)

dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail – one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First. Job Title: Senior Applied Data Scientist Job Location: 3825 Edwards Road, #600, Cincinnati, OH 45209 (May work remotely) Job Duties: WHY I DO MY JOB | Job purpose To lead and execute projects to distil complex problems into compelling insights, using the best of dunnhumby science and making recommendations that resonate with clients and lead them to action. May telecommute 100% of the time from their home office, consistent with dunnhumby’s remote work policy. WHAT I DO | Key accountabilities - Build strong relationships with internal contacts & external clients to ensure full understanding of client challenges, growth strategy and agreed measures of success for the project. - Investigate and implement the most appropriate analytical technique for each project, role modelling the re-use & further development of global solutions or code written by others. - Deploy data science algorithms and market products on chosen tech stack for efficient and cost-effective delivery. - Identify opportunities to grow client engagement by proactively solving client’s strategic questions, using a mix of products and advanced data science techniques that support executive decision making and calls to action. - Participate in client meetings as required to present methodology and solutions through effective story telling techniques. - Work closely with global products team to provide market feedback for enhancing an existing product offering or augmenting the catalogue with a market-based product that can become global offering. - Ensure smooth running of your data analytics projects and support junior team members with their projects. - Lead by example by following dunnhumby Quality Assurance processes, ways of working and coding standards. - Provide advice and support to colleagues to resolve challenges and support code reviews. Job requirements: - Bachelor’s degree (or foreign educational equivalent) in Computer Science, Mathematics, Applied Statistics, Engineering or related field. - In addition to the degree, must have at least 4 years of experience in each of the following: - Software development, utilizing methodologies and tools such as Agile (Scrum Master) and Code Merge, and programming in languages including PySpark, Python, Flask/Dash, C++, and HTML; and - Quality Assurance (QA) and Testing, including the development, execution, and maintenance of automated and manual testing frameworks. Within this, must have at least 2 years of experience in each of the following: - Handling large data volumes with modern data processing tools, e.g. by using Hadoop, Spark, SQL, and Python; - Data Interpretation and Insight Analysis; performing data interpretation, insight generation, and analytical analysis to support business and technical decision-making; - Programming experience on any standard data mining and modelling packages such as Python and R; and - Applying advanced statistical models and machine learning algorithms to develop and implement solutions to complex analytical and business problems. What you can expect from us We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)

dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail – one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First. Job Title: Senior Engineer - (Multiple positions available) Job Location: 3825 Edwards Road, Suite 600, Cincinnati, OH 45209 (May work remotely) Job Duties: WHY I DO MY JOB | Job purpose To contribute to the success of the engineering team by autonomously delivering on the development and deployment of new technology products and/or platforms that drive excellent solutions for clients in order to enable dunnhumby to grow. May work remotely from home office within U.S., consistent with dunnhumby’s remote work policy. WHAT I DO | Key accountabilities - Deliver autonomously on development and deployment of complex applications, components, software, platforms or services that are used at scale. - Conduct requirements analysis, balance different requirements and make technical trade off decisions at application level (e.g. component design). - Lead exciting end-to-end projects of certain complexity and ensure Service Level Agreements are successfully delivered. - Define and develop solutions to technical problems that arise. - Provide advice and guidance to junior colleagues as required to resolve specific challenges they are having and conduct design and code reviews. - Identify and advise on improvement opportunities and automate and simplify test and operations processes. - Use your expertise to input into reengineering and design. - Act as a subject matter expert for focus areas across the technology space. Job requirements: - Bachelor’s degree or higher (or foreign educational equivalent) in Computer Science, Mathematics, Physics, Electronics, Engineering or related field. In addition to the degree, must have at least 5 years of experience in each of the following: - Software development using Agile; - Software testing and debugging; - Cloud infrastructure, management and hosting; and - Infrastructure as code / DevOps using Kubernetes. Within this, must have at least 4 years of experience in each of the following: - Data analysis and modelling; - Working with big data using Hadoop/HDFS; and - Utilizing at least 2 of the following programming languages: Scala, C#/C++, Javascript / React, SQL, Python, PHP. What you can expect from us We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)

dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail – one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First. Job Title: Senior Applied Data Scientist Job Location: 3825 Edwards Road, #600, Cincinnati, OH 45209 (May work remotely) Job Duties: WHY I DO MY JOB | Job purpose To lead and execute projects to distil complex problems into compelling insights, using the best of dunnhumby science and making recommendations that resonate with clients and lead them to action. May telecommute 100% of the time from their home office, consistent with dunnhumby’s remote work policy. WHAT I DO | Key accountabilities - Build strong relationships with internal contacts & external clients to ensure full understanding of client challenges, growth strategy and agreed measures of success for the project. - Investigate and implement the most appropriate analytical technique for each project, role modelling the re-use & further development of global solutions or code written by others. - Deploy data science algorithms and market products on chosen tech stack for efficient and cost-effective delivery. - Identify opportunities to grow client engagement by proactively solving client’s strategic questions, using a mix of products and advanced data science techniques that support executive decision making and calls to action. - Participate in client meetings as required to present methodology and solutions through effective story telling techniques. - Work closely with global products team to provide market feedback for enhancing an existing product offering or augmenting the catalogue with a market-based product that can become global offering. - Ensure smooth running of your data analytics projects and support junior team members with their projects. - Lead by example by following dunnhumby Quality Assurance processes, ways of working and coding standards. - Provide advice and support to colleagues to resolve challenges and support code reviews. Job requirements: - Bachelor’s degree (or foreign educational equivalent) in Computer Science, Mathematics, Applied Statistics, Engineering or related field. - In addition to the degree, must have at least 4 years of experience in each of the following: - Software development, utilizing methodologies and tools such as Agile (Scrum Master) and Code Merge, and programming in languages including PySpark, Python, Flask/Dash, C++, and HTML; and - Quality Assurance (QA) and Testing, including the development, execution, and maintenance of automated and manual testing frameworks. Within this, must have at least 2 years of experience in each of the following: - Handling large data volumes with modern data processing tools, e.g. by using Hadoop, Spark, SQL, and Python; - Data Interpretation and Insight Analysis; performing data interpretation, insight generation, and analytical analysis to support business and technical decision-making; - Programming experience on any standard data mining and modelling packages such as Python and R; and - Applying advanced statistical models and machine learning algorithms to develop and implement solutions to complex analytical and business problems. What you can expect from us We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)