RSMB is looking for an enthusiastic Data Scientist/Statistician who has an interest in media research to join their team based in Central London. You will join them on a full-time, permanent basis, and in return, you will receive a competitive salary of £28,000 per annum for graduate entry level, rising to £35,000 depending on degree of relevant post-graduate experience. RSMB is a leading company specialising in media measurement solutions. We work with various clients, including industry measurement bodies like Barb (UK TV audience measurement) and RAJAR (radio audience measurement), to help them understand, plan, and measure consumer behaviour across media. We focus on statistics and data science in media, developing models and methodologies for audience and viewer measurement. Our team of around 50 people operates in a hybrid working environment based in Holborn, London. The Data Scientist/Statistician role: RSMB is looking for a Data Scientist/Statistician to join our team working on some of the UK s most interesting media measurement projects like Barb, RAJAR, CFlight and TouchPoints. Whether you re a recent graduate or have a few years of experience in stats, data science, or media analytics, this is a great opportunity to work with big datasets, solve real-world problems, and help shape how the UK media industry understands audiences. Benefits you will receive as their Data Scientist/Statistician: Pension scheme 25 days holiday per annum (rising to 30 days) Private medical insurance Season ticket loan Group life and permanent health insurance. Key responsibilities as their Data Scientist/Statistician will include: Providing statistical expertise across RSMB s work, gaining in depth knowledge of methodologies used in media measurement services such as Barb, RAJAR, and TouchPoints. Developing complex methodologies to deliver cross-platform measurement solutions, including contributions to projects like CFlight. Running data fusion processes to support comprehensive audience insights, particularly for projects such as TouchPoints. Evaluating third-party methodologies through rigorous audits, to validate and ensure the integrity and reliability of data sources and analytical approaches. Utilizing programming skills in PL/SQL, R and Python to extract, manipulate and analyse large datasets effectively. Communicating technical methodologies and insights clearly through written reports and presentations, contributing to both internal discussions and client-facing meetings. What they are looking for in their Data Scientist/Statistician: The Data Scientist/Statistician should have broad knowledge of statistical/mathematical techniques. Ideally the candidate should possess the following skills: Education: At least a 2:1 Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. If applying with a predicted grade, any job offer will be subject to achieving this grade. Technical Skills: Competent with Microsoft packages including Excel. Analytical Skills: Numerate with the ability to interpret and present complex data. Strong problem-solving skills and ability to think critically. Communication: Excellent verbal and written communication skills, with the ability to present data findings clearly and convey technic Personal Attributes? Strong interpersonal skills and the ability to liaise with people at all levels. Self-motivated and confident to manage their own projects as well as working within teams for larger projects. Excellent attention to detail and superb organisational skills. Able to use initiative to work independently with the ability to manage own time and organise priorities. Flexible and adaptable the needs of the job may change from week to week. Collaborative team player, committed to the collective success of the company. The ability to manage client relationships effectively, ensuring client satisfaction and addressing any concerns promptly. Please note: Applicants must be eligible to work in the UK & we are not accepting agency applications for this role. If you feel you have the skills and experience to become a Data Scientist/Statistician in this exciting role, then please click apply now They d love to hear from you!
13/05/2025
Full time
RSMB is looking for an enthusiastic Data Scientist/Statistician who has an interest in media research to join their team based in Central London. You will join them on a full-time, permanent basis, and in return, you will receive a competitive salary of £28,000 per annum for graduate entry level, rising to £35,000 depending on degree of relevant post-graduate experience. RSMB is a leading company specialising in media measurement solutions. We work with various clients, including industry measurement bodies like Barb (UK TV audience measurement) and RAJAR (radio audience measurement), to help them understand, plan, and measure consumer behaviour across media. We focus on statistics and data science in media, developing models and methodologies for audience and viewer measurement. Our team of around 50 people operates in a hybrid working environment based in Holborn, London. The Data Scientist/Statistician role: RSMB is looking for a Data Scientist/Statistician to join our team working on some of the UK s most interesting media measurement projects like Barb, RAJAR, CFlight and TouchPoints. Whether you re a recent graduate or have a few years of experience in stats, data science, or media analytics, this is a great opportunity to work with big datasets, solve real-world problems, and help shape how the UK media industry understands audiences. Benefits you will receive as their Data Scientist/Statistician: Pension scheme 25 days holiday per annum (rising to 30 days) Private medical insurance Season ticket loan Group life and permanent health insurance. Key responsibilities as their Data Scientist/Statistician will include: Providing statistical expertise across RSMB s work, gaining in depth knowledge of methodologies used in media measurement services such as Barb, RAJAR, and TouchPoints. Developing complex methodologies to deliver cross-platform measurement solutions, including contributions to projects like CFlight. Running data fusion processes to support comprehensive audience insights, particularly for projects such as TouchPoints. Evaluating third-party methodologies through rigorous audits, to validate and ensure the integrity and reliability of data sources and analytical approaches. Utilizing programming skills in PL/SQL, R and Python to extract, manipulate and analyse large datasets effectively. Communicating technical methodologies and insights clearly through written reports and presentations, contributing to both internal discussions and client-facing meetings. What they are looking for in their Data Scientist/Statistician: The Data Scientist/Statistician should have broad knowledge of statistical/mathematical techniques. Ideally the candidate should possess the following skills: Education: At least a 2:1 Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. If applying with a predicted grade, any job offer will be subject to achieving this grade. Technical Skills: Competent with Microsoft packages including Excel. Analytical Skills: Numerate with the ability to interpret and present complex data. Strong problem-solving skills and ability to think critically. Communication: Excellent verbal and written communication skills, with the ability to present data findings clearly and convey technic Personal Attributes? Strong interpersonal skills and the ability to liaise with people at all levels. Self-motivated and confident to manage their own projects as well as working within teams for larger projects. Excellent attention to detail and superb organisational skills. Able to use initiative to work independently with the ability to manage own time and organise priorities. Flexible and adaptable the needs of the job may change from week to week. Collaborative team player, committed to the collective success of the company. The ability to manage client relationships effectively, ensuring client satisfaction and addressing any concerns promptly. Please note: Applicants must be eligible to work in the UK & we are not accepting agency applications for this role. If you feel you have the skills and experience to become a Data Scientist/Statistician in this exciting role, then please click apply now They d love to hear from you!
You will need to login before you can apply for a job. Business Intel Engineer, EU Customer Behavior and Marketing Analytics and Data Science DESCRIPTION The position can be based in Luxembourg, London or Amsterdam. Are you passionate about giving customers the richest, most inspiring experience in their shopping journey? Do you like to dive deep to understand how customer-centric solutions drive measurable results? Do you enjoy working closely with the business, scientists and software engineers to build scalable products? You are in the right place! Come join our Prime & Marketing Analytics and Science (PRIMAS) team, where your actions will have direct impact to millions of customers! The EU Marketing & Prime organization is looking for a Business Intelligence Engineer. The PRIMAS team provides a comprehensive understanding of customer segments, affinities and lifetime value. We use the latest data science tools and advanced analytical techniques to study customer purchase and engagement behaviors and generate actionable insights on where, when and how we provide products and programs to our customers to meet their needs and to delight them. We help to increase customer engagement, sales and marketing efficiency. Our systems are built entirely in-house and on the cutting-edge in automated large-scale analytics systems. You will generate insights, design/deliver/measure experiments and strategies across marketing channels (SEM/SEO, Affiliates, Display, Social, Mobile, Email, Onsite, etc.), engagement products and customer segments. You will improve our understanding of Customer behavior and engagement, design and conduct rigorous experiments on the effectiveness and efficiency of different marketing actions that will inform long term strategy. You will have the opportunity to work on the forefront of consumer analytics tackling some of the most difficult problems in the industry with some of the best scientists, statisticians and software engineers in the field. Key job responsibilities In this role you will be: Working on complex loosely defined analytics problems and defining the team's Business Intelligence (BI) strategy. Delivering independently, and influencing the organization's BI architecture. Providing analytics solutions for complex business problems. Building analyses/solutions that are robust, extensible and scalable. Communicating effectively with management audiences (e.g., narratives, inputs into Business Reviews). Refining Business Intelligence strategies that cross teams and making technical trade-offs for long term/short-term needs. Designing and implementing technical solutions with an appropriate analytics strategy and data set design. Understanding system limitations, scaling factors, boundary conditions, and/or the reasons for technical decisions. Providing analyses, frameworks and solutions that inform multiple teams' business decisions and highlight new opportunities. Driving best practices in operational excellence, data modelling, and analysis. BASIC QUALIFICATIONS Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. Experience with data visualization using Tableau, Quicksight, or similar tools. Experience with data modeling, warehousing and building ETL pipelines. Experience in Statistical Analysis packages such as R, SAS and Matlab. Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling. Experience in the data/BI space. PREFERRED QUALIFICATIONS Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift. Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates.
08/05/2025
Full time
You will need to login before you can apply for a job. Business Intel Engineer, EU Customer Behavior and Marketing Analytics and Data Science DESCRIPTION The position can be based in Luxembourg, London or Amsterdam. Are you passionate about giving customers the richest, most inspiring experience in their shopping journey? Do you like to dive deep to understand how customer-centric solutions drive measurable results? Do you enjoy working closely with the business, scientists and software engineers to build scalable products? You are in the right place! Come join our Prime & Marketing Analytics and Science (PRIMAS) team, where your actions will have direct impact to millions of customers! The EU Marketing & Prime organization is looking for a Business Intelligence Engineer. The PRIMAS team provides a comprehensive understanding of customer segments, affinities and lifetime value. We use the latest data science tools and advanced analytical techniques to study customer purchase and engagement behaviors and generate actionable insights on where, when and how we provide products and programs to our customers to meet their needs and to delight them. We help to increase customer engagement, sales and marketing efficiency. Our systems are built entirely in-house and on the cutting-edge in automated large-scale analytics systems. You will generate insights, design/deliver/measure experiments and strategies across marketing channels (SEM/SEO, Affiliates, Display, Social, Mobile, Email, Onsite, etc.), engagement products and customer segments. You will improve our understanding of Customer behavior and engagement, design and conduct rigorous experiments on the effectiveness and efficiency of different marketing actions that will inform long term strategy. You will have the opportunity to work on the forefront of consumer analytics tackling some of the most difficult problems in the industry with some of the best scientists, statisticians and software engineers in the field. Key job responsibilities In this role you will be: Working on complex loosely defined analytics problems and defining the team's Business Intelligence (BI) strategy. Delivering independently, and influencing the organization's BI architecture. Providing analytics solutions for complex business problems. Building analyses/solutions that are robust, extensible and scalable. Communicating effectively with management audiences (e.g., narratives, inputs into Business Reviews). Refining Business Intelligence strategies that cross teams and making technical trade-offs for long term/short-term needs. Designing and implementing technical solutions with an appropriate analytics strategy and data set design. Understanding system limitations, scaling factors, boundary conditions, and/or the reasons for technical decisions. Providing analyses, frameworks and solutions that inform multiple teams' business decisions and highlight new opportunities. Driving best practices in operational excellence, data modelling, and analysis. BASIC QUALIFICATIONS Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. Experience with data visualization using Tableau, Quicksight, or similar tools. Experience with data modeling, warehousing and building ETL pipelines. Experience in Statistical Analysis packages such as R, SAS and Matlab. Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling. Experience in the data/BI space. PREFERRED QUALIFICATIONS Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift. Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates.
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
22/09/2022
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
itarle AG is looking to employ an experienced technologist to further develop its Best Execution Technology suite. This encompasses Algorithmic Trading, Smart Routing and Transaction Cost Analysis. The successful candidate will be responsible for developing the next generation of products, in addition to leveraging cutting edge technologies, development of methodologies and processes to maintain and build on itarle’s market leading position. This is an ideal role for a senior developer currently working in a bank, trading firm, fintech, or trading venue who is keen to further their career in a small, agile environment where the focus is building world-class technology.
The engineering team consists of statisticians, data scientists and technologists who are responsible for building and maintaining the itarle product suite.
Duties
Implementing the technology strategy for itarle, maintaining the existing code base and developing new products.
Actively developing high quality production code for algorithmic trading, Smart Order Routing and Transaction Cost Analysis.
Delivering well-thought out, clean code, helping us scale to support business growth, and expanding DevOps capabilities to further improve service quality to our clients.
Required technical expertise
5+ years experience of writing high performance Java 1.8, including concurrency and distributed systems.
Strong knowledge and experience in unit- and integration testing, working in a CI/CD environment, and using distributed version control systems.
Object-oriented design and reactive programming.
Good working knowledge of Linux and Docker.
Experience in Maven, Spring, and JMS, and a desire to reduce the footprint of these technologies by migrating to Gradle, Kafka, and smaller, lightweight services that can largely do away with Spring.
Relational databases.
Desirable technical skills
ELK stack.
Prometheus / Grafana / Opentracing.
C++ / Python / Groovy / Kotlin.
Actor frameworks (e.g. Akka).
Javascript/HTML5.
Atlassian workflow & productivity tools.
Ansible.
28/09/2018
Full time
itarle AG is looking to employ an experienced technologist to further develop its Best Execution Technology suite. This encompasses Algorithmic Trading, Smart Routing and Transaction Cost Analysis. The successful candidate will be responsible for developing the next generation of products, in addition to leveraging cutting edge technologies, development of methodologies and processes to maintain and build on itarle’s market leading position. This is an ideal role for a senior developer currently working in a bank, trading firm, fintech, or trading venue who is keen to further their career in a small, agile environment where the focus is building world-class technology.
The engineering team consists of statisticians, data scientists and technologists who are responsible for building and maintaining the itarle product suite.
Duties
Implementing the technology strategy for itarle, maintaining the existing code base and developing new products.
Actively developing high quality production code for algorithmic trading, Smart Order Routing and Transaction Cost Analysis.
Delivering well-thought out, clean code, helping us scale to support business growth, and expanding DevOps capabilities to further improve service quality to our clients.
Required technical expertise
5+ years experience of writing high performance Java 1.8, including concurrency and distributed systems.
Strong knowledge and experience in unit- and integration testing, working in a CI/CD environment, and using distributed version control systems.
Object-oriented design and reactive programming.
Good working knowledge of Linux and Docker.
Experience in Maven, Spring, and JMS, and a desire to reduce the footprint of these technologies by migrating to Gradle, Kafka, and smaller, lightweight services that can largely do away with Spring.
Relational databases.
Desirable technical skills
ELK stack.
Prometheus / Grafana / Opentracing.
C++ / Python / Groovy / Kotlin.
Actor frameworks (e.g. Akka).
Javascript/HTML5.
Atlassian workflow & productivity tools.
Ansible.
Jobs - Frequently Asked Questions
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