Job Description: This is a transformation role with an end date of December 2026 Pet Nutrition is currently embarking on an unprecedented Digital Transformation agenda, Digital First, that will touch every function and operating entity across our business. The Commercial (aka Procurement) digital transformation makes up a significant piece of the Digital First scope, with its focus on creating scaled value in service of our mission to make A Better World for Pets. Our purpose in Commercial Digital First is to create step-change value creation for pets and pet parents by digitalising commercial to accelerate decision making, deliver superior propositions and fuel an integrated supply chain, with increased agility and reduced cost. Commercial encompasses digital products spanning across Sourcing, Operations, SQA and Resilience. This program will not only create and implement critical new D&A capabilities but also drive the accelerated digitalization of our Commercial & Supply teams. The purpose of the role is to work in partnership with the wider D&A and Commercial teams to deliver the D&A capabilities and maintain them. Partnerships with other teams such as Supply, Manufacturing & R&D are also key to ensure process alignment and shared value creation. As a Data Engineer in the Commercial team, your key responsibilities are as follows: 1. Technical Proficiency: Collaborate in hands-on development using Python, PySpark, and other relevant technologies to create and maintain data assets and reports for business insights. Assist in engineering and managing data models and pipelines within a cloud environment, utilizing technologies like Databricks, Spark, Delta Lake, and SQL. Contribute to the maintenance and enhancement of our progressive tech stack, which includes Python, PySpark, Logic Apps, Azure Functions, ADLS, Django, and ReactJs. Support the implementation of DevOps and CI/CD methodologies to foster agile collaboration and contribute to building robust data solutions. Develop code that adheres to high-quality standards, promoting a scalable and maintainable data platform. 2. Learning and Growth; Contribution to Solutions: Collaborate with the team to learn and apply the best practices in data engineering. Actively participate in engineering projects, gaining experience in developing high-quality, scalable, and sustainable data solutions. Stay updated with emerging technologies and trends in data engineering, contributing to the team's knowledge base by sharing insights and ideas. Assist in the development of data solutions within the Pet Nutrition data platform, working on challenging aspects under the guidance of senior team members. Contribute to the management of data from various divisions to generate valuable data assets related to pets and pet owners. Support the maintenance of the medallion data layers to contribute to the comprehensive leadership of the data solution within the environment. 3. Collaboration and Communication: Collaborate closely with analysts, data scientists, and team members to understand their requirements and assist in translating them into actionable data solutions. Maintain effective communication with the Data Engineering Lead, actively participating in team discussions and sharing ideas to improve platform excellence. As a Data Engineer in the Commercial team, your key responsibilities are as follows: 1. Technical Proficiency: Collaborate in hands-on development using Python, PySpark, and other relevant technologies to create and maintain data assets and reports for business insights. Assist in engineering and managing data models and pipelines within a cloud environment, utilizing technologies like Databricks, Spark, Delta Lake, and SQL. Contribute to the maintenance and enhancement of our progressive tech stack, which includes Python, PySpark, Logic Apps, Azure Functions, ADLS, Django, and ReactJs. Support the implementation of DevOps and CI/CD methodologies to foster agile collaboration and contribute to building robust data solutions. Develop code that adheres to high-quality standards, promoting a scalable and maintainable data platform. 2. Learning and Growth; Contribution to Solutions: Collaborate with the team to learn and apply the best practices in data engineering. Actively participate in engineering projects, gaining experience in developing high-quality, scalable, and sustainable data solutions. Stay updated with emerging technologies and trends in data engineering, contributing to the team's knowledge base by sharing insights and ideas. Assist in the development of data solutions within the Pet Nutrition data platform, working on challenging aspects under the guidance of senior team members. Contribute to the management of data from various divisions to generate valuable data assets related to pets and pet owners. Support the maintenance of the medallion data layers to contribute to the comprehensive leadership of the data solution within the environment. 3. Collaboration and Communication: Collaborate closely with analysts, data scientists, and team members to understand their requirements and assist in translating them into actionable data solutions. Maintain effective communication with the Data Engineering Lead, actively participating in team discussions and sharing ideas to improve platform excellence. What are we looking for? Great experience as a Data Engineer. Experience with PySpark, SQL and Databricks. Proficiency in working with the cloud environment and various platforms, including Azure, SQL Server. NoSQL databases is good to have. Hands-on experience with data pipeline development, ETL processes, and big data technologies (e.g., Hadoop, Spark, Kafka). Experience with DataOps practices and tools, including CI/CD for data pipelines. Experience in medallion data architecture and other similar data modelling approaches. Experience with data visualization tools (e.g., PowerBI). Strong analytical and problem-solving skills, with a focus on driving actionable insights from complex data sets. Keen interest in the latest trends and tools in data engineering and analytics. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
22/06/2025
Full time
Job Description: This is a transformation role with an end date of December 2026 Pet Nutrition is currently embarking on an unprecedented Digital Transformation agenda, Digital First, that will touch every function and operating entity across our business. The Commercial (aka Procurement) digital transformation makes up a significant piece of the Digital First scope, with its focus on creating scaled value in service of our mission to make A Better World for Pets. Our purpose in Commercial Digital First is to create step-change value creation for pets and pet parents by digitalising commercial to accelerate decision making, deliver superior propositions and fuel an integrated supply chain, with increased agility and reduced cost. Commercial encompasses digital products spanning across Sourcing, Operations, SQA and Resilience. This program will not only create and implement critical new D&A capabilities but also drive the accelerated digitalization of our Commercial & Supply teams. The purpose of the role is to work in partnership with the wider D&A and Commercial teams to deliver the D&A capabilities and maintain them. Partnerships with other teams such as Supply, Manufacturing & R&D are also key to ensure process alignment and shared value creation. As a Data Engineer in the Commercial team, your key responsibilities are as follows: 1. Technical Proficiency: Collaborate in hands-on development using Python, PySpark, and other relevant technologies to create and maintain data assets and reports for business insights. Assist in engineering and managing data models and pipelines within a cloud environment, utilizing technologies like Databricks, Spark, Delta Lake, and SQL. Contribute to the maintenance and enhancement of our progressive tech stack, which includes Python, PySpark, Logic Apps, Azure Functions, ADLS, Django, and ReactJs. Support the implementation of DevOps and CI/CD methodologies to foster agile collaboration and contribute to building robust data solutions. Develop code that adheres to high-quality standards, promoting a scalable and maintainable data platform. 2. Learning and Growth; Contribution to Solutions: Collaborate with the team to learn and apply the best practices in data engineering. Actively participate in engineering projects, gaining experience in developing high-quality, scalable, and sustainable data solutions. Stay updated with emerging technologies and trends in data engineering, contributing to the team's knowledge base by sharing insights and ideas. Assist in the development of data solutions within the Pet Nutrition data platform, working on challenging aspects under the guidance of senior team members. Contribute to the management of data from various divisions to generate valuable data assets related to pets and pet owners. Support the maintenance of the medallion data layers to contribute to the comprehensive leadership of the data solution within the environment. 3. Collaboration and Communication: Collaborate closely with analysts, data scientists, and team members to understand their requirements and assist in translating them into actionable data solutions. Maintain effective communication with the Data Engineering Lead, actively participating in team discussions and sharing ideas to improve platform excellence. As a Data Engineer in the Commercial team, your key responsibilities are as follows: 1. Technical Proficiency: Collaborate in hands-on development using Python, PySpark, and other relevant technologies to create and maintain data assets and reports for business insights. Assist in engineering and managing data models and pipelines within a cloud environment, utilizing technologies like Databricks, Spark, Delta Lake, and SQL. Contribute to the maintenance and enhancement of our progressive tech stack, which includes Python, PySpark, Logic Apps, Azure Functions, ADLS, Django, and ReactJs. Support the implementation of DevOps and CI/CD methodologies to foster agile collaboration and contribute to building robust data solutions. Develop code that adheres to high-quality standards, promoting a scalable and maintainable data platform. 2. Learning and Growth; Contribution to Solutions: Collaborate with the team to learn and apply the best practices in data engineering. Actively participate in engineering projects, gaining experience in developing high-quality, scalable, and sustainable data solutions. Stay updated with emerging technologies and trends in data engineering, contributing to the team's knowledge base by sharing insights and ideas. Assist in the development of data solutions within the Pet Nutrition data platform, working on challenging aspects under the guidance of senior team members. Contribute to the management of data from various divisions to generate valuable data assets related to pets and pet owners. Support the maintenance of the medallion data layers to contribute to the comprehensive leadership of the data solution within the environment. 3. Collaboration and Communication: Collaborate closely with analysts, data scientists, and team members to understand their requirements and assist in translating them into actionable data solutions. Maintain effective communication with the Data Engineering Lead, actively participating in team discussions and sharing ideas to improve platform excellence. What are we looking for? Great experience as a Data Engineer. Experience with PySpark, SQL and Databricks. Proficiency in working with the cloud environment and various platforms, including Azure, SQL Server. NoSQL databases is good to have. Hands-on experience with data pipeline development, ETL processes, and big data technologies (e.g., Hadoop, Spark, Kafka). Experience with DataOps practices and tools, including CI/CD for data pipelines. Experience in medallion data architecture and other similar data modelling approaches. Experience with data visualization tools (e.g., PowerBI). Strong analytical and problem-solving skills, with a focus on driving actionable insights from complex data sets. Keen interest in the latest trends and tools in data engineering and analytics. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
Job Description: This is a transformation role with an end date of December 2026 Pet Nutrition is currently embarking on an unprecedented Digital Transformation agenda, Digital First, that will touch every function and operating entity across our business. The Commercial (aka Procurement) digital transformation makes up a significant piece of the Digital First scope, with its focus on creating scaled value in service of our mission to make A Better World for Pets. Our purpose in Commercial Digital First is to create step-change value creation for pets and pet parents by digitalising commercial to accelerate decision making, deliver superior propositions and fuel an integrated supply chain, with increased agility and reduced cost. Commercial encompasses digital products spanning across Sourcing, Operations, SQA and Resilience. This program will not only create and implement critical new D&A capabilities but also drive the accelerated digitalization of our Commercial & Supply teams. The purpose of the role is to work in partnership with the wider D&A and Commercial teams to deliver the D&A capabilities and maintain them. Partnerships with other teams such as Supply, Manufacturing & R&D are also key to ensure process alignment and shared value creation. As a Data Engineer in the Commercial team, your key responsibilities are as follows: 1. Technical Proficiency: Collaborate in hands-on development using Python, PySpark, and other relevant technologies to create and maintain data assets and reports for business insights. Assist in engineering and managing data models and pipelines within a cloud environment, utilizing technologies like Databricks, Spark, Delta Lake, and SQL. Contribute to the maintenance and enhancement of our progressive tech stack, which includes Python, PySpark, Logic Apps, Azure Functions, ADLS, Django, and ReactJs. Support the implementation of DevOps and CI/CD methodologies to foster agile collaboration and contribute to building robust data solutions. Develop code that adheres to high-quality standards, promoting a scalable and maintainable data platform. 2. Learning and Growth; Contribution to Solutions: Collaborate with the team to learn and apply the best practices in data engineering. Actively participate in engineering projects, gaining experience in developing high-quality, scalable, and sustainable data solutions. Stay updated with emerging technologies and trends in data engineering, contributing to the team's knowledge base by sharing insights and ideas. Assist in the development of data solutions within the Pet Nutrition data platform, working on challenging aspects under the guidance of senior team members. Contribute to the management of data from various divisions to generate valuable data assets related to pets and pet owners. Support the maintenance of the medallion data layers to contribute to the comprehensive leadership of the data solution within the environment. 3. Collaboration and Communication: Collaborate closely with analysts, data scientists, and team members to understand their requirements and assist in translating them into actionable data solutions. Maintain effective communication with the Data Engineering Lead, actively participating in team discussions and sharing ideas to improve platform excellence. As a Data Engineer in the Commercial team, your key responsibilities are as follows: 1. Technical Proficiency: Collaborate in hands-on development using Python, PySpark, and other relevant technologies to create and maintain data assets and reports for business insights. Assist in engineering and managing data models and pipelines within a cloud environment, utilizing technologies like Databricks, Spark, Delta Lake, and SQL. Contribute to the maintenance and enhancement of our progressive tech stack, which includes Python, PySpark, Logic Apps, Azure Functions, ADLS, Django, and ReactJs. Support the implementation of DevOps and CI/CD methodologies to foster agile collaboration and contribute to building robust data solutions. Develop code that adheres to high-quality standards, promoting a scalable and maintainable data platform. 2. Learning and Growth; Contribution to Solutions: Collaborate with the team to learn and apply the best practices in data engineering. Actively participate in engineering projects, gaining experience in developing high-quality, scalable, and sustainable data solutions. Stay updated with emerging technologies and trends in data engineering, contributing to the team's knowledge base by sharing insights and ideas. Assist in the development of data solutions within the Pet Nutrition data platform, working on challenging aspects under the guidance of senior team members. Contribute to the management of data from various divisions to generate valuable data assets related to pets and pet owners. Support the maintenance of the medallion data layers to contribute to the comprehensive leadership of the data solution within the environment. 3. Collaboration and Communication: Collaborate closely with analysts, data scientists, and team members to understand their requirements and assist in translating them into actionable data solutions. Maintain effective communication with the Data Engineering Lead, actively participating in team discussions and sharing ideas to improve platform excellence. What are we looking for? Great experience as a Data Engineer. Experience with PySpark, SQL and Databricks. Proficiency in working with the cloud environment and various platforms, including Azure, SQL Server. NoSQL databases is good to have. Hands-on experience with data pipeline development, ETL processes, and big data technologies (e.g., Hadoop, Spark, Kafka). Experience with DataOps practices and tools, including CI/CD for data pipelines. Experience in medallion data architecture and other similar data modelling approaches. Experience with data visualization tools (e.g., PowerBI). Strong analytical and problem-solving skills, with a focus on driving actionable insights from complex data sets. Keen interest in the latest trends and tools in data engineering and analytics. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
22/06/2025
Full time
Job Description: This is a transformation role with an end date of December 2026 Pet Nutrition is currently embarking on an unprecedented Digital Transformation agenda, Digital First, that will touch every function and operating entity across our business. The Commercial (aka Procurement) digital transformation makes up a significant piece of the Digital First scope, with its focus on creating scaled value in service of our mission to make A Better World for Pets. Our purpose in Commercial Digital First is to create step-change value creation for pets and pet parents by digitalising commercial to accelerate decision making, deliver superior propositions and fuel an integrated supply chain, with increased agility and reduced cost. Commercial encompasses digital products spanning across Sourcing, Operations, SQA and Resilience. This program will not only create and implement critical new D&A capabilities but also drive the accelerated digitalization of our Commercial & Supply teams. The purpose of the role is to work in partnership with the wider D&A and Commercial teams to deliver the D&A capabilities and maintain them. Partnerships with other teams such as Supply, Manufacturing & R&D are also key to ensure process alignment and shared value creation. As a Data Engineer in the Commercial team, your key responsibilities are as follows: 1. Technical Proficiency: Collaborate in hands-on development using Python, PySpark, and other relevant technologies to create and maintain data assets and reports for business insights. Assist in engineering and managing data models and pipelines within a cloud environment, utilizing technologies like Databricks, Spark, Delta Lake, and SQL. Contribute to the maintenance and enhancement of our progressive tech stack, which includes Python, PySpark, Logic Apps, Azure Functions, ADLS, Django, and ReactJs. Support the implementation of DevOps and CI/CD methodologies to foster agile collaboration and contribute to building robust data solutions. Develop code that adheres to high-quality standards, promoting a scalable and maintainable data platform. 2. Learning and Growth; Contribution to Solutions: Collaborate with the team to learn and apply the best practices in data engineering. Actively participate in engineering projects, gaining experience in developing high-quality, scalable, and sustainable data solutions. Stay updated with emerging technologies and trends in data engineering, contributing to the team's knowledge base by sharing insights and ideas. Assist in the development of data solutions within the Pet Nutrition data platform, working on challenging aspects under the guidance of senior team members. Contribute to the management of data from various divisions to generate valuable data assets related to pets and pet owners. Support the maintenance of the medallion data layers to contribute to the comprehensive leadership of the data solution within the environment. 3. Collaboration and Communication: Collaborate closely with analysts, data scientists, and team members to understand their requirements and assist in translating them into actionable data solutions. Maintain effective communication with the Data Engineering Lead, actively participating in team discussions and sharing ideas to improve platform excellence. As a Data Engineer in the Commercial team, your key responsibilities are as follows: 1. Technical Proficiency: Collaborate in hands-on development using Python, PySpark, and other relevant technologies to create and maintain data assets and reports for business insights. Assist in engineering and managing data models and pipelines within a cloud environment, utilizing technologies like Databricks, Spark, Delta Lake, and SQL. Contribute to the maintenance and enhancement of our progressive tech stack, which includes Python, PySpark, Logic Apps, Azure Functions, ADLS, Django, and ReactJs. Support the implementation of DevOps and CI/CD methodologies to foster agile collaboration and contribute to building robust data solutions. Develop code that adheres to high-quality standards, promoting a scalable and maintainable data platform. 2. Learning and Growth; Contribution to Solutions: Collaborate with the team to learn and apply the best practices in data engineering. Actively participate in engineering projects, gaining experience in developing high-quality, scalable, and sustainable data solutions. Stay updated with emerging technologies and trends in data engineering, contributing to the team's knowledge base by sharing insights and ideas. Assist in the development of data solutions within the Pet Nutrition data platform, working on challenging aspects under the guidance of senior team members. Contribute to the management of data from various divisions to generate valuable data assets related to pets and pet owners. Support the maintenance of the medallion data layers to contribute to the comprehensive leadership of the data solution within the environment. 3. Collaboration and Communication: Collaborate closely with analysts, data scientists, and team members to understand their requirements and assist in translating them into actionable data solutions. Maintain effective communication with the Data Engineering Lead, actively participating in team discussions and sharing ideas to improve platform excellence. What are we looking for? Great experience as a Data Engineer. Experience with PySpark, SQL and Databricks. Proficiency in working with the cloud environment and various platforms, including Azure, SQL Server. NoSQL databases is good to have. Hands-on experience with data pipeline development, ETL processes, and big data technologies (e.g., Hadoop, Spark, Kafka). Experience with DataOps practices and tools, including CI/CD for data pipelines. Experience in medallion data architecture and other similar data modelling approaches. Experience with data visualization tools (e.g., PowerBI). Strong analytical and problem-solving skills, with a focus on driving actionable insights from complex data sets. Keen interest in the latest trends and tools in data engineering and analytics. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
Explore AI/ML solutions to tough physics problems in the Defence domain This research team is looking for an experienced engineer or post-doctoral scientist to help them explore the use of modern ML techniques for solving problems across defence related domains such as RF, edge AI and AI security. They work collaboratively within their team as well as with other teams working on similar problems spread across the country. Their work is highly experimental, and it is understood that not all projects succeed, even failed projects contain valuable insights. You will be building upon cutting-edge ML techniques such as transformers and reinforcement learning to create novel multi-modal solutions. Examples include sensor fusion systems, physics-informed neural networks for simulations, and multi-purpose autonomous robots. Projects will be defence focused but may include offensive capabilities. Please note, as projects are defence related, you will need to qualify for UK security clearance to be considered for this role. Requirements: PhD or equivalent professional experience in a field that demonstrates significant understanding of both computer science and advanced statistical or numerical methods Practical experience applying ML techniques to solve real-world problems Knowledgeable in conducting and publishing (as first author) high-quality research for academic journals Team leadership experience While not required, both a good understanding of RF physics and previous involvement in defence related research projects would be highly beneficial. This team has an academic and welcoming work environment where ideas are judged on merit and good work rewarded fairly. Due to the research heavy nature of projects, the team can often work from home and be in the office as little as one day each week. The office itself is located in central London very close to major public transport links making it an easy commute from either within London or the surrounding area. Initially this is an 18-month contract with the expectation of extending this as more funding is released. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27404 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
22/06/2025
Full time
Explore AI/ML solutions to tough physics problems in the Defence domain This research team is looking for an experienced engineer or post-doctoral scientist to help them explore the use of modern ML techniques for solving problems across defence related domains such as RF, edge AI and AI security. They work collaboratively within their team as well as with other teams working on similar problems spread across the country. Their work is highly experimental, and it is understood that not all projects succeed, even failed projects contain valuable insights. You will be building upon cutting-edge ML techniques such as transformers and reinforcement learning to create novel multi-modal solutions. Examples include sensor fusion systems, physics-informed neural networks for simulations, and multi-purpose autonomous robots. Projects will be defence focused but may include offensive capabilities. Please note, as projects are defence related, you will need to qualify for UK security clearance to be considered for this role. Requirements: PhD or equivalent professional experience in a field that demonstrates significant understanding of both computer science and advanced statistical or numerical methods Practical experience applying ML techniques to solve real-world problems Knowledgeable in conducting and publishing (as first author) high-quality research for academic journals Team leadership experience While not required, both a good understanding of RF physics and previous involvement in defence related research projects would be highly beneficial. This team has an academic and welcoming work environment where ideas are judged on merit and good work rewarded fairly. Due to the research heavy nature of projects, the team can often work from home and be in the office as little as one day each week. The office itself is located in central London very close to major public transport links making it an easy commute from either within London or the surrounding area. Initially this is an 18-month contract with the expectation of extending this as more funding is released. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27404 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
A small and rapidly growing Consultancy are looking for a Lead Data Scientist to join their growing team - this is a hybrid role, requiring around 2-3 days per week either in the office or on client site, depending on requirements. Many of their clients are in the Public Sector, meaning you must be eligible for SC Clearance in order to apply for this role. In this role, you will lead on client projects and provide them with subject matter expertise - you'll proactively identify opportunities for data science to be used to help solve their unique challenges, and will action this appropriately. . This will involve working with varied data sources, and designing and implementing various data science and machine learning techniques and algorithms, both on-premises and on the cloud, depending on the client's environment. You'll communicate your findings and insight to the client, getting involved in presentations to uncover the "story" the data is telling, and therefore what action can be taken. This role would be well-suited to someone who has experience (or is keen to get experience) in a client-facing environment, and who enjoys the challenge of working on technically demanding and diverse projects. Requirements Experience leading on data science projects Experience working on cloud-based infrastructure e.g. Azure, AWS, GCP Extensive coding skills in languages such as Python and SQL Experience working with various forms of data (e.g. structured, unstructured; text, time-series and image) and appropriately modelling these Experience with various statistical-based techniques to uncover data insight Experience developing machine learning algorithms Excellent communication and requirements gathering skills Eligibility for SC Clearance Benefits Salary up to 75,000 depending on experience Discretionary bonus 5% pension Training budget allowance Flexible working hours Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check. Tenth Revolution Group / Nigel Frank are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, and the London Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at (url removed)
22/06/2025
Full time
A small and rapidly growing Consultancy are looking for a Lead Data Scientist to join their growing team - this is a hybrid role, requiring around 2-3 days per week either in the office or on client site, depending on requirements. Many of their clients are in the Public Sector, meaning you must be eligible for SC Clearance in order to apply for this role. In this role, you will lead on client projects and provide them with subject matter expertise - you'll proactively identify opportunities for data science to be used to help solve their unique challenges, and will action this appropriately. . This will involve working with varied data sources, and designing and implementing various data science and machine learning techniques and algorithms, both on-premises and on the cloud, depending on the client's environment. You'll communicate your findings and insight to the client, getting involved in presentations to uncover the "story" the data is telling, and therefore what action can be taken. This role would be well-suited to someone who has experience (or is keen to get experience) in a client-facing environment, and who enjoys the challenge of working on technically demanding and diverse projects. Requirements Experience leading on data science projects Experience working on cloud-based infrastructure e.g. Azure, AWS, GCP Extensive coding skills in languages such as Python and SQL Experience working with various forms of data (e.g. structured, unstructured; text, time-series and image) and appropriately modelling these Experience with various statistical-based techniques to uncover data insight Experience developing machine learning algorithms Excellent communication and requirements gathering skills Eligibility for SC Clearance Benefits Salary up to 75,000 depending on experience Discretionary bonus 5% pension Training budget allowance Flexible working hours Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check. Tenth Revolution Group / Nigel Frank are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, and the London Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at (url removed)
Our client a London based Technology and Data Engineering leader have an opportunity in a high growth AI Lab for an AI Engineering Researcher' A UK based 'Enterprise' Artificial Intelligence organisation, focussing on helping accelerate their clients journey towards becoming 'AI-Optimal' - starting with significantly enhancing its abilities in leveraging AI & machine intelligence to outperform traditional competition. The firm builds upon its rapidly expanding research team of exceptional PhD computer scientists, software engineers, mathematicians & physicists, to use a unique multi-disciplinary approach to solving enterprise-AI problems. Principal Activities of role: Data Pipeline Development: • Design, develop, and maintain ETL processes to efficiently ingest data from various sources into data warehouses or data lakes. • Data Integration and Management: Integrate data from disparate sources, ensuring data quality, consistency, and security across systems. Implement data governance practices and manage metadata. • System Architecture: Design robust, scalable, and high-performance data architectures using cloud-based platforms (e.g., AWS, Google Cloud, Azure). • Performance Optimization: Monitor, troubleshoot, and optimize data processing workflows to improve performance and reduce latency. Typical background: Bachelor s or Master s degree in computer science/engineering/Math/Physics, plus one or more of the following: Proficiency in programming languages such as Python, Java, or Scala. Strong experience with SQL and database technologies (incl. various Vector Stores and more traditional technologies e.g. MySQL, PostgreSQL, NoSQL databases). Hands-on experience with data tools and frameworks such as Hadoop, Spark, or Kafka - advantage Familiarity with data warehousing solutions and cloud data platforms. Background in building applications wrapped around AI/LLM/mathematical models Ability to scale up algorithms to production Key Proposition: - This role offers the opportunity to be part of creating world-class engineered solutions within Artificial Intelligence / Machine Learning, with a steep learning curve and an unmatched research experience. Time Commitments: 100% (average 40 hours per week)
21/06/2025
Full time
Our client a London based Technology and Data Engineering leader have an opportunity in a high growth AI Lab for an AI Engineering Researcher' A UK based 'Enterprise' Artificial Intelligence organisation, focussing on helping accelerate their clients journey towards becoming 'AI-Optimal' - starting with significantly enhancing its abilities in leveraging AI & machine intelligence to outperform traditional competition. The firm builds upon its rapidly expanding research team of exceptional PhD computer scientists, software engineers, mathematicians & physicists, to use a unique multi-disciplinary approach to solving enterprise-AI problems. Principal Activities of role: Data Pipeline Development: • Design, develop, and maintain ETL processes to efficiently ingest data from various sources into data warehouses or data lakes. • Data Integration and Management: Integrate data from disparate sources, ensuring data quality, consistency, and security across systems. Implement data governance practices and manage metadata. • System Architecture: Design robust, scalable, and high-performance data architectures using cloud-based platforms (e.g., AWS, Google Cloud, Azure). • Performance Optimization: Monitor, troubleshoot, and optimize data processing workflows to improve performance and reduce latency. Typical background: Bachelor s or Master s degree in computer science/engineering/Math/Physics, plus one or more of the following: Proficiency in programming languages such as Python, Java, or Scala. Strong experience with SQL and database technologies (incl. various Vector Stores and more traditional technologies e.g. MySQL, PostgreSQL, NoSQL databases). Hands-on experience with data tools and frameworks such as Hadoop, Spark, or Kafka - advantage Familiarity with data warehousing solutions and cloud data platforms. Background in building applications wrapped around AI/LLM/mathematical models Ability to scale up algorithms to production Key Proposition: - This role offers the opportunity to be part of creating world-class engineered solutions within Artificial Intelligence / Machine Learning, with a steep learning curve and an unmatched research experience. Time Commitments: 100% (average 40 hours per week)
A small and rapidly growing Consultancy are looking for a Lead Data Scientist to join their expanding team - this is a hybrid role, requiring around 2-3 days per week either in the office or on client site, depending on requirements. Many of their clients are in the Public Sector, meaning you must be eligible for SC Clearance in order to apply for this role. In this role, you will lead on client projects and provide them with subject matter expertise - you'll proactively identify opportunities for data science to be used to help solve their unique challenges, and will action this appropriately. This will involve working with varied data sources, and designing and implementing various data science and machine learning techniques and algorithms, both on-premises and on the cloud, depending on what's best for each particular client. You'll communicate your findings and insight to the client, getting involved in presentations to uncover the "story" the data is telling, and therefore what action can be taken. This role would be well-suited to someone who has experience (or is keen to get experience) in a client-facing environment, and who enjoys the challenge of working on technically demanding and diverse projects. Requirements Experience leading on data science projects Experience working on cloud-based infrastructure e.g. Azure, AWS, GCP Extensive coding skills in languages such as Python and SQL Experience working with various forms of data (e.g. structured, unstructured; text, time-series and image) and appropriately modelling these Experience with various statistical-based techniques to uncover data insight Some experience with Data Engineering e.g. building data pipelines Experience developing machine learning algorithms Excellent communication and requirements gathering skills Eligibility for SC Clearance Benefits Salary up to 75,000 depending on experience Discretionary bonus 5% pension Training budget allowance Flexible working hours Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check. Tenth Revolution Group / Nigel Frank are the go-to recruiter for Data & AI roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, and the London Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at (url removed)
20/06/2025
Full time
A small and rapidly growing Consultancy are looking for a Lead Data Scientist to join their expanding team - this is a hybrid role, requiring around 2-3 days per week either in the office or on client site, depending on requirements. Many of their clients are in the Public Sector, meaning you must be eligible for SC Clearance in order to apply for this role. In this role, you will lead on client projects and provide them with subject matter expertise - you'll proactively identify opportunities for data science to be used to help solve their unique challenges, and will action this appropriately. This will involve working with varied data sources, and designing and implementing various data science and machine learning techniques and algorithms, both on-premises and on the cloud, depending on what's best for each particular client. You'll communicate your findings and insight to the client, getting involved in presentations to uncover the "story" the data is telling, and therefore what action can be taken. This role would be well-suited to someone who has experience (or is keen to get experience) in a client-facing environment, and who enjoys the challenge of working on technically demanding and diverse projects. Requirements Experience leading on data science projects Experience working on cloud-based infrastructure e.g. Azure, AWS, GCP Extensive coding skills in languages such as Python and SQL Experience working with various forms of data (e.g. structured, unstructured; text, time-series and image) and appropriately modelling these Experience with various statistical-based techniques to uncover data insight Some experience with Data Engineering e.g. building data pipelines Experience developing machine learning algorithms Excellent communication and requirements gathering skills Eligibility for SC Clearance Benefits Salary up to 75,000 depending on experience Discretionary bonus 5% pension Training budget allowance Flexible working hours Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check. Tenth Revolution Group / Nigel Frank are the go-to recruiter for Data & AI roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, and the London Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at (url removed)
AI Engineer Location: London, UK Company: Shivom Consultancy Ltd A bout Us We're a forward-thinking tech company on a mission to build intelligent, scalable solutions that solve real-world problems. Our team is made up of engineers, designers, and innovators who thrive on collaboration, experimentation, and continuous learning. Whether we're developing cutting-edge software, architecting cloud infrastructure, or launching user-centric products, we're united by a shared passion for impactful technology and clean, elegant code. We believe in autonomy with accountability, flexible work environments, and creating space for every team member to grow and lead. If you're excited by meaningful challenges and want to build things that matter, we'd love to meet you. Role Overview We're looking for a skilled and curious AI Engineer to join our growing team. In this role, you'll design, develop, and deploy machine learning models and AI-driven systems that power our products and services. You'll work closely with data scientists, software engineers, and product teams to bring intelligent features to life-whether that's building NLP pipelines, optimizing recommendation systems, or applying cutting-edge research to real-world challenges. This is a hands-on role where you'll contribute across the entire ML life cycle, from data preprocessing and model training to production deployment and performance tuning. If you're excited about solving complex problems with AI and thrive in a fast-paced, collaborative environment, we'd love to hear from you. Responsibilities: Model Development: Design, develop, and deploy AI and machine learning models to solve business challenges. Data Analysis: Work with large datasets to extract insights and train machine learning models. Algorithm Implementation: Implement and optimize algorithms for AI applications, ensuring efficiency and scalability. Research: Stay up-to-date with the latest advancements in AI and machine learning, and apply these to ongoing projects. Collaboration: Collaborate with data scientists, software engineers, and other stakeholders to integrate AI solutions into products and services. Testing and Validation: Test and validate AI models to ensure accuracy, robustness, and reliability. Deployment: Manage the deployment of AI models in production environments, monitoring performance and making necessary adjustments. Documentation: Document AI models, processes, and findings for future reference and reproducibility. Performance Monitoring: Continuously monitor and evaluate AI models to improve their performance over time. Innovation: Identify opportunities to innovate and improve existing AI solutions and processes. Essential criteria: Educational Background: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience: Minimum of 3 years of experience in AI engineering or a related role. Technical Skills: Proficiency in programming languages such as Python, R, or Java. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Machine Learning Knowledge: Strong understanding of machine learning algorithms, neural networks, and deep learning techniques. Analytical Skills: Excellent analytical and problem-solving skills, with the ability to work with complex datasets. Communication Skills: Strong written and verbal communication skills, with the ability to explain AI concepts to non-technical stakeholders. Team Collaboration: Proven experience working in a collaborative, team-oriented environment. Project Management: Ability to manage multiple projects and meet deadlines effectively. Attention to Detail: High level of accuracy and attention to detail. Desired Criteria Advanced Expertise: Experience with deploying AI models in production environments and optimizing for scalability and performance. Innovative Mindset: Passion for staying up-to-date with the latest AI research and emerging technologies, and applying them creatively to solve business challenges. Data Engineering: Familiarity with data pipelines, ETL processes, and working knowledge of databases and big data technologies. Software Development Practices: Experience with version control (eg, Git), containerization (Docker), and CI/CD pipelines in an AI context. Domain Knowledge: Exposure to industry-specific applications of AI (eg, healthcare, finance, or E-commerce) is a plus. Mentorship: Ability and willingness to mentor junior engineers and contribute to a culture of continuous learning. Problem Framing: Strong skills in translating ambiguous business problems into clear AI-driven solutions. Adaptability: Comfortable working in a fast-paced, agile environment with evolving priorities. Ethical AI Awareness: Understanding of AI ethics, bias mitigation, and responsible AI deployment principles. Progression Opportunities As an AI Engineer, you'll have a well-supported growth path with opportunities to deepen your technical expertise and expand your impact across projects and teams. Depending on your interests, you can progress into more advanced roles such as Senior AI Engineer, AI Solutions Architect, Machine Learning Lead, or Technical Product Owner for AI initiatives. You'll be encouraged to take ownership of increasingly complex systems, contribute to strategic AI decisions, and mentor junior team members. We support certifications, attendance at industry events, and the freedom to explore new tools and approaches that shape the future of our AI capabilities. Company Culture Our culture is built on openness, learning, and shared purpose. We encourage collaboration across disciplines and believe diverse thinking leads to stronger, more innovative outcomes. Everyone here contributes to our direction, and we aim to make sure every voice is heard and valued. Benefits: Competitive salary Health and wellness benefits Professional development opportunities Collaborative and innovative work environment Application Process: Interested candidates are invited to submit their CV and cover letter to (see below) Shivom Consultancy Ltd is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
20/06/2025
Full time
AI Engineer Location: London, UK Company: Shivom Consultancy Ltd A bout Us We're a forward-thinking tech company on a mission to build intelligent, scalable solutions that solve real-world problems. Our team is made up of engineers, designers, and innovators who thrive on collaboration, experimentation, and continuous learning. Whether we're developing cutting-edge software, architecting cloud infrastructure, or launching user-centric products, we're united by a shared passion for impactful technology and clean, elegant code. We believe in autonomy with accountability, flexible work environments, and creating space for every team member to grow and lead. If you're excited by meaningful challenges and want to build things that matter, we'd love to meet you. Role Overview We're looking for a skilled and curious AI Engineer to join our growing team. In this role, you'll design, develop, and deploy machine learning models and AI-driven systems that power our products and services. You'll work closely with data scientists, software engineers, and product teams to bring intelligent features to life-whether that's building NLP pipelines, optimizing recommendation systems, or applying cutting-edge research to real-world challenges. This is a hands-on role where you'll contribute across the entire ML life cycle, from data preprocessing and model training to production deployment and performance tuning. If you're excited about solving complex problems with AI and thrive in a fast-paced, collaborative environment, we'd love to hear from you. Responsibilities: Model Development: Design, develop, and deploy AI and machine learning models to solve business challenges. Data Analysis: Work with large datasets to extract insights and train machine learning models. Algorithm Implementation: Implement and optimize algorithms for AI applications, ensuring efficiency and scalability. Research: Stay up-to-date with the latest advancements in AI and machine learning, and apply these to ongoing projects. Collaboration: Collaborate with data scientists, software engineers, and other stakeholders to integrate AI solutions into products and services. Testing and Validation: Test and validate AI models to ensure accuracy, robustness, and reliability. Deployment: Manage the deployment of AI models in production environments, monitoring performance and making necessary adjustments. Documentation: Document AI models, processes, and findings for future reference and reproducibility. Performance Monitoring: Continuously monitor and evaluate AI models to improve their performance over time. Innovation: Identify opportunities to innovate and improve existing AI solutions and processes. Essential criteria: Educational Background: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience: Minimum of 3 years of experience in AI engineering or a related role. Technical Skills: Proficiency in programming languages such as Python, R, or Java. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Machine Learning Knowledge: Strong understanding of machine learning algorithms, neural networks, and deep learning techniques. Analytical Skills: Excellent analytical and problem-solving skills, with the ability to work with complex datasets. Communication Skills: Strong written and verbal communication skills, with the ability to explain AI concepts to non-technical stakeholders. Team Collaboration: Proven experience working in a collaborative, team-oriented environment. Project Management: Ability to manage multiple projects and meet deadlines effectively. Attention to Detail: High level of accuracy and attention to detail. Desired Criteria Advanced Expertise: Experience with deploying AI models in production environments and optimizing for scalability and performance. Innovative Mindset: Passion for staying up-to-date with the latest AI research and emerging technologies, and applying them creatively to solve business challenges. Data Engineering: Familiarity with data pipelines, ETL processes, and working knowledge of databases and big data technologies. Software Development Practices: Experience with version control (eg, Git), containerization (Docker), and CI/CD pipelines in an AI context. Domain Knowledge: Exposure to industry-specific applications of AI (eg, healthcare, finance, or E-commerce) is a plus. Mentorship: Ability and willingness to mentor junior engineers and contribute to a culture of continuous learning. Problem Framing: Strong skills in translating ambiguous business problems into clear AI-driven solutions. Adaptability: Comfortable working in a fast-paced, agile environment with evolving priorities. Ethical AI Awareness: Understanding of AI ethics, bias mitigation, and responsible AI deployment principles. Progression Opportunities As an AI Engineer, you'll have a well-supported growth path with opportunities to deepen your technical expertise and expand your impact across projects and teams. Depending on your interests, you can progress into more advanced roles such as Senior AI Engineer, AI Solutions Architect, Machine Learning Lead, or Technical Product Owner for AI initiatives. You'll be encouraged to take ownership of increasingly complex systems, contribute to strategic AI decisions, and mentor junior team members. We support certifications, attendance at industry events, and the freedom to explore new tools and approaches that shape the future of our AI capabilities. Company Culture Our culture is built on openness, learning, and shared purpose. We encourage collaboration across disciplines and believe diverse thinking leads to stronger, more innovative outcomes. Everyone here contributes to our direction, and we aim to make sure every voice is heard and valued. Benefits: Competitive salary Health and wellness benefits Professional development opportunities Collaborative and innovative work environment Application Process: Interested candidates are invited to submit their CV and cover letter to (see below) Shivom Consultancy Ltd is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. As a Data Scientist Intern, you'll be part of our rapidly growing team. You'll have the chance to apply data science methods and analytics to real-world business situations across a variety of industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, scrappy, and communicative. We are looking for talented individuals with a passion for data science, statistics, operations research and transforming organizations into AI led innovative companies. Successful candidates possess the following: Comfortable in a client-facing role with the ambition to lead teams Likes to distill complex results or processes into simple, clear visualizations Explain sophisticated data science concepts in an understandable manner Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients Have strong project management skills What You'll Bring Currently enrolled in a university Master's or PhD degree program in Computer Research Science, Data Science, Statistics, Operations Research, or related field TECHNOLOGIES: Programming Languages: Python Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
20/06/2025
Full time
Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. As a Data Scientist Intern, you'll be part of our rapidly growing team. You'll have the chance to apply data science methods and analytics to real-world business situations across a variety of industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, scrappy, and communicative. We are looking for talented individuals with a passion for data science, statistics, operations research and transforming organizations into AI led innovative companies. Successful candidates possess the following: Comfortable in a client-facing role with the ambition to lead teams Likes to distill complex results or processes into simple, clear visualizations Explain sophisticated data science concepts in an understandable manner Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients Have strong project management skills What You'll Bring Currently enrolled in a university Master's or PhD degree program in Computer Research Science, Data Science, Statistics, Operations Research, or related field TECHNOLOGIES: Programming Languages: Python Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Job Description: Chief Data Office (CDO) is a Mars Wrigley program that harnesses the power of data and insights to solve some of the critical business-wide problems we face - unlocking quality growth and operational excellence. Through CDO, we deliver connected insights across the entire Snacking ecosystem. We empower our Associates with the right data, tools and capabilities so they can take decisive action, maximizing value and making a meaningful impact on our consumers, our customers and our business. This position will play a key role in leading the Mars Snacking ecosystem into the ever-evolving world of Generative AI. This role will lead Gen AI projects in planning and execution across varying types of use cases (creative and processionary). They will create and define frameworks, guidelines and standards to make sure that Mars Snacking is taking full advantage of this field. They will also be expected to play hands-on when required and be able to guide the broader Data Science community through complex Gen AI and LLMOps projects. What are we looking for? 7+ years of experience working in a quantitative role preferably in the CPG, or retail industry. 4+ years of experience managing a team of data scientists, product analysts or data analysts Proven track record of delivering value through AI/ Data Science products in a fast-paced, agile environment using a scalable and reusable codebase and models to address business problems effectively. Partner with business leadership across functions to identify business challenges and opportunities and translate them unto actionable, integrated, data-driven solutions. An expert understanding of LLMs, ML Ops, LLM Ops and pertinent design architecture elements. An understanding of product management principles such as product definition, roadmap building and management, and product releases and commercialization Hands on experience in building Agents and leveraging emerging technologies within Microsoft and Google to design an agentic ecosystem. A strong customer centric mindset especially within an internal customer base with the purpose of driving value creation, adoption and use Strategic thinking, problem solving and innovation, with the ability to anticipate and navigate challenges and opportunities. Ensure compliance with analytics standards, including tailoring methodologies to specific use case needs such as ML, AI, and descriptive analytics. Ability to translate business needs into analytical frameworks & superior verbal and written communication skills Proficiency and hands-on experience in advanced analytics techniques and machine learning algorithms, including NLP, time-series analysis and other relevant methods and willingness to coach data scientists tactically Working understanding of ML Ops and DevOps frameworks Working expertise of OpenAI Endpoints, Google Vertex, Google Model Garden and Microsoft Suite of AI Models. What will be your key responsibilities? Serve as the key lead for Gen AI and LLM Ops in the Mars Snacking Community Applies strong expertise in AI through use of machine learning, data mining, and statistical models to design, prototype and build next generation ML engines and services Design, architect and review technical architecture of data science solutions Plan and lead data science projects that cover a diverse range of business problems Serve as key point of contact with Data Engineering and DevOps teams, for solution architecture and infrastructure design Review work of team members identifying optimum methodologies, advising on implementation, and checking business logic Use machine learning techniques, visualizations, & statistical analysis to gain insight into various data sets - some readily available, and some you create and curate yourself Collaborate with internal and external teams to ensure we focus on product and service recommendations and be a key player in our network of talent Contribute to a high performing data science function Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products Performance Monitoring: Define key performance indicators (KPIs) and implement monitoring systems for deployed data platforms and products to ensure efficient operations data operations, effective support services and incident management. Solution ideation and Development: Guide a team of data scientists to create fit for purpose solutions using cutting edge analytical and AI methodologies. Focus on setting up a Data Science AI program and delivery methodology: Entails, recruiting and forming a team to solve a specific problem; elaborating on a programmatic mindset and tracking value delivery What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
20/06/2025
Full time
Job Description: Chief Data Office (CDO) is a Mars Wrigley program that harnesses the power of data and insights to solve some of the critical business-wide problems we face - unlocking quality growth and operational excellence. Through CDO, we deliver connected insights across the entire Snacking ecosystem. We empower our Associates with the right data, tools and capabilities so they can take decisive action, maximizing value and making a meaningful impact on our consumers, our customers and our business. This position will play a key role in leading the Mars Snacking ecosystem into the ever-evolving world of Generative AI. This role will lead Gen AI projects in planning and execution across varying types of use cases (creative and processionary). They will create and define frameworks, guidelines and standards to make sure that Mars Snacking is taking full advantage of this field. They will also be expected to play hands-on when required and be able to guide the broader Data Science community through complex Gen AI and LLMOps projects. What are we looking for? 7+ years of experience working in a quantitative role preferably in the CPG, or retail industry. 4+ years of experience managing a team of data scientists, product analysts or data analysts Proven track record of delivering value through AI/ Data Science products in a fast-paced, agile environment using a scalable and reusable codebase and models to address business problems effectively. Partner with business leadership across functions to identify business challenges and opportunities and translate them unto actionable, integrated, data-driven solutions. An expert understanding of LLMs, ML Ops, LLM Ops and pertinent design architecture elements. An understanding of product management principles such as product definition, roadmap building and management, and product releases and commercialization Hands on experience in building Agents and leveraging emerging technologies within Microsoft and Google to design an agentic ecosystem. A strong customer centric mindset especially within an internal customer base with the purpose of driving value creation, adoption and use Strategic thinking, problem solving and innovation, with the ability to anticipate and navigate challenges and opportunities. Ensure compliance with analytics standards, including tailoring methodologies to specific use case needs such as ML, AI, and descriptive analytics. Ability to translate business needs into analytical frameworks & superior verbal and written communication skills Proficiency and hands-on experience in advanced analytics techniques and machine learning algorithms, including NLP, time-series analysis and other relevant methods and willingness to coach data scientists tactically Working understanding of ML Ops and DevOps frameworks Working expertise of OpenAI Endpoints, Google Vertex, Google Model Garden and Microsoft Suite of AI Models. What will be your key responsibilities? Serve as the key lead for Gen AI and LLM Ops in the Mars Snacking Community Applies strong expertise in AI through use of machine learning, data mining, and statistical models to design, prototype and build next generation ML engines and services Design, architect and review technical architecture of data science solutions Plan and lead data science projects that cover a diverse range of business problems Serve as key point of contact with Data Engineering and DevOps teams, for solution architecture and infrastructure design Review work of team members identifying optimum methodologies, advising on implementation, and checking business logic Use machine learning techniques, visualizations, & statistical analysis to gain insight into various data sets - some readily available, and some you create and curate yourself Collaborate with internal and external teams to ensure we focus on product and service recommendations and be a key player in our network of talent Contribute to a high performing data science function Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products Performance Monitoring: Define key performance indicators (KPIs) and implement monitoring systems for deployed data platforms and products to ensure efficient operations data operations, effective support services and incident management. Solution ideation and Development: Guide a team of data scientists to create fit for purpose solutions using cutting edge analytical and AI methodologies. Focus on setting up a Data Science AI program and delivery methodology: Entails, recruiting and forming a team to solve a specific problem; elaborating on a programmatic mindset and tracking value delivery What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
Spearheading the integration of machine learning into cutting-edge electronics This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create new classes of products and radically alter the shape, performance and effectiveness of existing ones. As industry goes through a machine learning revolution you can be here, leading the charge. You will work across the whole machine learning development lifecycle from initial concepts through data collection, cleaning and preparation to prototyping, testing and evaluation. With your models integrated with leading edge electronics, the final products are fully functional prototypes and demonstrator units manufactured at small scale. What s special about this group is they do this dozens of times per year working across multiple domains. You can be working on computer vision for one project and generative models for the next. Requirements: Strong knowledge of Python and its use in machine learning including hands-on experience building products with modern ML frameworks such as TensorFlow and PyTorch Broad knowledge of machine learning techniques across multiple domains and the ability to transition into new domains quickly A top degree in a STEM subject UK national While not required, experience deploying machine learning onto a range of hardware from resource constrained embedded systems through to edge computing is desirable. As is any knowledge of GPU programming languages and frameworks (CUDA, ROCm, etc). Your future colleagues will be similarly highly skilled, with experience across industry and the drive to innovate. You will find yourself in a low-management work environment that encourages teamwork and respect for individuals expertise. Benefits include private medical insurance, generous pension scheme and access to local social and sports clubs. Please note, you are required to be onsite full-time for this position. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call (phone number removed) or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27413 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
18/06/2025
Full time
Spearheading the integration of machine learning into cutting-edge electronics This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create new classes of products and radically alter the shape, performance and effectiveness of existing ones. As industry goes through a machine learning revolution you can be here, leading the charge. You will work across the whole machine learning development lifecycle from initial concepts through data collection, cleaning and preparation to prototyping, testing and evaluation. With your models integrated with leading edge electronics, the final products are fully functional prototypes and demonstrator units manufactured at small scale. What s special about this group is they do this dozens of times per year working across multiple domains. You can be working on computer vision for one project and generative models for the next. Requirements: Strong knowledge of Python and its use in machine learning including hands-on experience building products with modern ML frameworks such as TensorFlow and PyTorch Broad knowledge of machine learning techniques across multiple domains and the ability to transition into new domains quickly A top degree in a STEM subject UK national While not required, experience deploying machine learning onto a range of hardware from resource constrained embedded systems through to edge computing is desirable. As is any knowledge of GPU programming languages and frameworks (CUDA, ROCm, etc). Your future colleagues will be similarly highly skilled, with experience across industry and the drive to innovate. You will find yourself in a low-management work environment that encourages teamwork and respect for individuals expertise. Benefits include private medical insurance, generous pension scheme and access to local social and sports clubs. Please note, you are required to be onsite full-time for this position. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call (phone number removed) or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27413 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
Data Scientist Investment Birmingham or London £50,000 £60,000 + benefits 5 days per week in the office Ideal for graduates or professionals with 1 3 years experience Company Overview Our client is a market-leading UK real estate investor and developer, focused on large-scale retail assets such as shopping centres and retail parks. They're transforming how data shapes investment and asset strategy and this is your chance to be part of that journey. The Role As an Investment Analyst / Data Scientist, you ll play a key role in evaluating and reshaping high-value real estate assets. Your analysis will feed directly into investment decisions, asset repositioning strategies, and financial performance tracking. This is a rare opportunity to blend data science, commercial thinking, and financial modelling in a single role. You ll work across investment, asset management, and tenant strategy, developing insights that directly impact deal execution and long-term portfolio direction. What We're Looking For A degree in Finance, Economics, Data Science, Engineering, or a similar discipline Strong numerical and analytical skills Some experience or a strong interest in real estate, investment, or consulting Familiarity with Excel and Python; experience with financial models (DCF, NPV) is a plus A curious mindset, strong attention to detail, and a genuine enthusiasm for data You don t need to tick every box if you're bright, inquisitive, and eager to learn, you ll thrive here. What s On Offer Salary: £50,000 £60,000 depending on experience Benefits: Gym membership, mobile allowance, private healthcare A high-impact, cross-functional role with real exposure from day one A team committed to your personal and professional growth
18/06/2025
Full time
Data Scientist Investment Birmingham or London £50,000 £60,000 + benefits 5 days per week in the office Ideal for graduates or professionals with 1 3 years experience Company Overview Our client is a market-leading UK real estate investor and developer, focused on large-scale retail assets such as shopping centres and retail parks. They're transforming how data shapes investment and asset strategy and this is your chance to be part of that journey. The Role As an Investment Analyst / Data Scientist, you ll play a key role in evaluating and reshaping high-value real estate assets. Your analysis will feed directly into investment decisions, asset repositioning strategies, and financial performance tracking. This is a rare opportunity to blend data science, commercial thinking, and financial modelling in a single role. You ll work across investment, asset management, and tenant strategy, developing insights that directly impact deal execution and long-term portfolio direction. What We're Looking For A degree in Finance, Economics, Data Science, Engineering, or a similar discipline Strong numerical and analytical skills Some experience or a strong interest in real estate, investment, or consulting Familiarity with Excel and Python; experience with financial models (DCF, NPV) is a plus A curious mindset, strong attention to detail, and a genuine enthusiasm for data You don t need to tick every box if you're bright, inquisitive, and eager to learn, you ll thrive here. What s On Offer Salary: £50,000 £60,000 depending on experience Benefits: Gym membership, mobile allowance, private healthcare A high-impact, cross-functional role with real exposure from day one A team committed to your personal and professional growth
Barton Peveril is a thriving Sixth Form College with excellent outcomes for students and outstanding facilities. We have an exciting opportunity for a Data Analyst Degree Apprentice to join our MIS team. You will work with the MIS team to deliver reports, data analysis, and other data solutions. This will involve working with stakeholders to produce bespoke reports and solutions. You will take a lead on the research and deployment of Looker Studio. You will complete one of the following degree apprenticeships. Discussions will be held with successful applicants to determine the most suitable option and you will need to meet the entry requirements of the university: Data Scientist Degree Apprenticeship with Chichester University Digital and Technology Solutions Professional Degree Apprenticeship (Data Analyst specialism) with the Open University
18/06/2025
Seasonal
Barton Peveril is a thriving Sixth Form College with excellent outcomes for students and outstanding facilities. We have an exciting opportunity for a Data Analyst Degree Apprentice to join our MIS team. You will work with the MIS team to deliver reports, data analysis, and other data solutions. This will involve working with stakeholders to produce bespoke reports and solutions. You will take a lead on the research and deployment of Looker Studio. You will complete one of the following degree apprenticeships. Discussions will be held with successful applicants to determine the most suitable option and you will need to meet the entry requirements of the university: Data Scientist Degree Apprenticeship with Chichester University Digital and Technology Solutions Professional Degree Apprenticeship (Data Analyst specialism) with the Open University
Chief Data Scientist 120k - 150k - London Would you like to join an organisation where data is at the core of the business? Do you want to join a company where you will be backed by the founder to innovate? This company uses models that predict consumer behaviour for B2B consumption. Their success is built on data that isn't available anywhere else. They use their own sources of data to produce highly accurate predictions that nobody else in their sector can achieve. They want you to bring new ideas and use your experience to make their product even better. You will work closely with the senior management team to deliver the overall strategy and roadmap of the company, with the goal of adding value to the data. You will lead a team of data scientists and work with them to manage the full data science lifecycle. If this sounds like the start of something you would like to be part of, please apply.
18/06/2025
Full time
Chief Data Scientist 120k - 150k - London Would you like to join an organisation where data is at the core of the business? Do you want to join a company where you will be backed by the founder to innovate? This company uses models that predict consumer behaviour for B2B consumption. Their success is built on data that isn't available anywhere else. They use their own sources of data to produce highly accurate predictions that nobody else in their sector can achieve. They want you to bring new ideas and use your experience to make their product even better. You will work closely with the senior management team to deliver the overall strategy and roadmap of the company, with the goal of adding value to the data. You will lead a team of data scientists and work with them to manage the full data science lifecycle. If this sounds like the start of something you would like to be part of, please apply.
Data Science & Machine Learning - Elite Talent Wanted Top End Salary (D.O.E) We're hiring on behalf of a prestigious client seeking exceptional AI and Data Science professionals . If you hold a top-tier degree from a world-class university and thrive on solving complex problems with cutting-edge technology, we want to hear from you. What We're Looking For First-Class Degree from a leading institution (e.g., Oxbridge, St Andrews, Ivy League, top global universities) Strong foundation in AI, machine learning, or data science Background in mathematics, statistics, computer science , or a related field Proficiency in Python, R, or similar languages and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) is a plus Analytical mindset with a passion for innovation and problem-solving Willingness to relocate to Glasgow What You'll Do Work on high-impact AI projects with real-world applications Collaborate with a team of elite scientists and engineers Contribute to the development of cutting-edge models and algorithms Help shape the future of AI in a fast-paced, intellectually stimulating environment Why Join? Be part of a world-class team at the forefront of AI innovation Access to state-of-the-art tools and infrastructure Career-defining opportunities and rapid progression In Technology Group Ltd is acting as an Employment Agency in relation to this vacancy.
18/06/2025
Full time
Data Science & Machine Learning - Elite Talent Wanted Top End Salary (D.O.E) We're hiring on behalf of a prestigious client seeking exceptional AI and Data Science professionals . If you hold a top-tier degree from a world-class university and thrive on solving complex problems with cutting-edge technology, we want to hear from you. What We're Looking For First-Class Degree from a leading institution (e.g., Oxbridge, St Andrews, Ivy League, top global universities) Strong foundation in AI, machine learning, or data science Background in mathematics, statistics, computer science , or a related field Proficiency in Python, R, or similar languages and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) is a plus Analytical mindset with a passion for innovation and problem-solving Willingness to relocate to Glasgow What You'll Do Work on high-impact AI projects with real-world applications Collaborate with a team of elite scientists and engineers Contribute to the development of cutting-edge models and algorithms Help shape the future of AI in a fast-paced, intellectually stimulating environment Why Join? Be part of a world-class team at the forefront of AI innovation Access to state-of-the-art tools and infrastructure Career-defining opportunities and rapid progression In Technology Group Ltd is acting as an Employment Agency in relation to this vacancy.
Data Scientist Duration: 6 Months Location: Warwick / Remote Are you ready to make a significant impact in the utilities sector? Join our client's dynamic Data Science team as a Data Scientist, where your expertise will drive data-driven solutions that enhance decision-making for asset management and energy system operations. Dive into exciting projects that support regulatory commitments and contribute to our ongoing business-as-usual initiatives! What You'll Do: As a Data Scientist, you will lead the charge in developing innovative data science use cases. Your role will involve: optimising Decision-Making: Develop and deliver data-driven solutions for gas transmission system operations and asset management. Collaborative Engagement: Work closely with internal stakeholders to identify opportunities and refine data-driven strategies. Data Management: Identify, collect, clean, and process relevant datasets, ensuring seamless handover to Data Engineers. Model Development: Create and deploy predictive and prescriptive models using Azure ML Studio and Azure DevOps. Effective Communication: Present findings clearly through visualisation and reporting, including interactive dashboards and web applications using Power BI, R Shiny, or Python Flask. MLOps Maintenance: Maintain and enhance MLOps pipelines, focusing on model robustness and performance. Project Tracking: Manage code and project tracking using Git and Azure DevOps Boards, aligned with Scaled Agile Framework (SAFe) practises. Cross-Functional Collaboration: Partner with data engineers, system operators, and other business users to ensure seamless integration of solutions. What You Bring: We're looking for a candidate with a blend of essential skills and experience, including: Hands-On Experience: Proven experience in data science and machine learning model deployment, preferably with Azure ML Studio. MLOps Proficiency: Strong understanding of pipeline management and model versioning. Data Manipulation Skills: Expertise in data extraction, transformation, and reshaping using SQL, R/Tidyverse, and Python/Pandas. visualisation Expertise: Experience with data visualisation tools and frameworks such as Power BI, R Shiny, and Python Flask. Agile Methodology: Familiarity with Git and Azure DevOps for version control and agile task management. Statistical Acumen: Solid understanding of statistical methods and machine learning algorithms. Effective Communication: Ability to convey complex technical concepts to both technical and non-technical audiences. Problem-Solving Attitude: Strong proactive approach to identifying and resolving challenges. Preferred Qualifications: While not mandatory, the following will set you apart: Experience in the energy or utilities sector, particularly in asset management optimisation and supply-demand forecasting. Understanding of SAFe practises, including PI Planning and Retrospectives. Experience working in hybrid team structures, collaborating with contractors and external partners. Qualifications: A degree in a quantitative field (STEM Bachelor's/Master's) with strong foundations in Linear Algebra, Calculus, and Statistics, plus 2+ years as a Data Scientist. Alternatively, substantial industry experience combined with recognised certifications in Data Science demonstrating hands-on implementation. Why Join Us? This is more than just a job; it's a chance to contribute to a sustainable future while advancing your career in a supportive and innovative environment. If you're passionate about data science and eager to tackle meaningful challenges, we'd love to hear from you! Apply Now! Take the next step in your career and help shape the future of the utilities industry with us. Your journey starts here! Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
17/06/2025
Contractor
Data Scientist Duration: 6 Months Location: Warwick / Remote Are you ready to make a significant impact in the utilities sector? Join our client's dynamic Data Science team as a Data Scientist, where your expertise will drive data-driven solutions that enhance decision-making for asset management and energy system operations. Dive into exciting projects that support regulatory commitments and contribute to our ongoing business-as-usual initiatives! What You'll Do: As a Data Scientist, you will lead the charge in developing innovative data science use cases. Your role will involve: optimising Decision-Making: Develop and deliver data-driven solutions for gas transmission system operations and asset management. Collaborative Engagement: Work closely with internal stakeholders to identify opportunities and refine data-driven strategies. Data Management: Identify, collect, clean, and process relevant datasets, ensuring seamless handover to Data Engineers. Model Development: Create and deploy predictive and prescriptive models using Azure ML Studio and Azure DevOps. Effective Communication: Present findings clearly through visualisation and reporting, including interactive dashboards and web applications using Power BI, R Shiny, or Python Flask. MLOps Maintenance: Maintain and enhance MLOps pipelines, focusing on model robustness and performance. Project Tracking: Manage code and project tracking using Git and Azure DevOps Boards, aligned with Scaled Agile Framework (SAFe) practises. Cross-Functional Collaboration: Partner with data engineers, system operators, and other business users to ensure seamless integration of solutions. What You Bring: We're looking for a candidate with a blend of essential skills and experience, including: Hands-On Experience: Proven experience in data science and machine learning model deployment, preferably with Azure ML Studio. MLOps Proficiency: Strong understanding of pipeline management and model versioning. Data Manipulation Skills: Expertise in data extraction, transformation, and reshaping using SQL, R/Tidyverse, and Python/Pandas. visualisation Expertise: Experience with data visualisation tools and frameworks such as Power BI, R Shiny, and Python Flask. Agile Methodology: Familiarity with Git and Azure DevOps for version control and agile task management. Statistical Acumen: Solid understanding of statistical methods and machine learning algorithms. Effective Communication: Ability to convey complex technical concepts to both technical and non-technical audiences. Problem-Solving Attitude: Strong proactive approach to identifying and resolving challenges. Preferred Qualifications: While not mandatory, the following will set you apart: Experience in the energy or utilities sector, particularly in asset management optimisation and supply-demand forecasting. Understanding of SAFe practises, including PI Planning and Retrospectives. Experience working in hybrid team structures, collaborating with contractors and external partners. Qualifications: A degree in a quantitative field (STEM Bachelor's/Master's) with strong foundations in Linear Algebra, Calculus, and Statistics, plus 2+ years as a Data Scientist. Alternatively, substantial industry experience combined with recognised certifications in Data Science demonstrating hands-on implementation. Why Join Us? This is more than just a job; it's a chance to contribute to a sustainable future while advancing your career in a supportive and innovative environment. If you're passionate about data science and eager to tackle meaningful challenges, we'd love to hear from you! Apply Now! Take the next step in your career and help shape the future of the utilities industry with us. Your journey starts here! Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Site Reliability Engineer - Graduate Considered We are excited to be able to offer this Site Reliability Engineer role working for an industry-leading software company in Cambridge. This company has won several awards and is pioneering in their machine-learning technology. Founded 8 years ago, with a team of 150 brilliant engineers, they are already renowned as having game-changing technology within their industry, with exciting scope for expansion into further industries. This role is looking for a Graduate or experienced SRE professional to work within the SRE team responsible for incident response and issue resolution. Location: Cambridge Salary: £32,000 - £70,000 per annum + excellent benefits including private healthcare (could be more available for an experienced SRE) Requirements for Site Reliability Engineer - Graduate Considered: Excellent academics including 2.1 or 1st class honours degree from a leading international University in a STEM subject A minimum of AAB at A-Level or international equivalent if applying at Graduate level Any experience working an incident response or technical support environment would be beneficial (could be as intern/year in industry etc) Brilliant communication skills - this role is a highly interactive role Ideally, you will have knowledge of modern infrastructure and operational tooling within cloud-based architectures It would be beneficial if you have an understanding of how web-based software applications are designed and function, utilising technologies like node.js, PostgreSQL, or Elasticsearch. You enjoy a variety of work and love the idea of a role involving lots of problem solving identifying the root causes of issues. Good logical reasoning You are keen on pursuing a career in Site Reliability Engineering in the knowledge this role will not lead to a role in the R&D/Software teams Responsibilities for Site Reliability Engineer - Graduate Considered: Working within the SRE team you will be responsible for the architecture of a mission-critical cloud platform for an industry-leading software company. You will diagnose issues within complex systems, identify root causes of issues, and propose and implement structural improvements. On a daily basis, you will be working with a range of programming, cloud computing, configuration tools, database technologies such as AWS, Linux, Python, nodeJS, PostGresSQL, ansible and Elasticsearch What this offers: Joining a company at the forefront of innovation who are well versed in training and developing STEM graduates An exciting and varied tech stack A wealth of career progression opportunities this is an expanding company and opportunities are in abundance Applications: If you would like to apply for this unique opportunity, we would love to hear from you. Please send an up to date CV via the relevant link. We're committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by emailing (if this email address has been removed by the job-board, full details for contact are available on our website). RedTech Recruitment Ltd focus on finding roles for Engineers and Scientists . Even if the above role isn t of interest, please visit our website to see our other opportunities. We are an equal opportunity employer and value diversity at RedTech. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
17/06/2025
Full time
Site Reliability Engineer - Graduate Considered We are excited to be able to offer this Site Reliability Engineer role working for an industry-leading software company in Cambridge. This company has won several awards and is pioneering in their machine-learning technology. Founded 8 years ago, with a team of 150 brilliant engineers, they are already renowned as having game-changing technology within their industry, with exciting scope for expansion into further industries. This role is looking for a Graduate or experienced SRE professional to work within the SRE team responsible for incident response and issue resolution. Location: Cambridge Salary: £32,000 - £70,000 per annum + excellent benefits including private healthcare (could be more available for an experienced SRE) Requirements for Site Reliability Engineer - Graduate Considered: Excellent academics including 2.1 or 1st class honours degree from a leading international University in a STEM subject A minimum of AAB at A-Level or international equivalent if applying at Graduate level Any experience working an incident response or technical support environment would be beneficial (could be as intern/year in industry etc) Brilliant communication skills - this role is a highly interactive role Ideally, you will have knowledge of modern infrastructure and operational tooling within cloud-based architectures It would be beneficial if you have an understanding of how web-based software applications are designed and function, utilising technologies like node.js, PostgreSQL, or Elasticsearch. You enjoy a variety of work and love the idea of a role involving lots of problem solving identifying the root causes of issues. Good logical reasoning You are keen on pursuing a career in Site Reliability Engineering in the knowledge this role will not lead to a role in the R&D/Software teams Responsibilities for Site Reliability Engineer - Graduate Considered: Working within the SRE team you will be responsible for the architecture of a mission-critical cloud platform for an industry-leading software company. You will diagnose issues within complex systems, identify root causes of issues, and propose and implement structural improvements. On a daily basis, you will be working with a range of programming, cloud computing, configuration tools, database technologies such as AWS, Linux, Python, nodeJS, PostGresSQL, ansible and Elasticsearch What this offers: Joining a company at the forefront of innovation who are well versed in training and developing STEM graduates An exciting and varied tech stack A wealth of career progression opportunities this is an expanding company and opportunities are in abundance Applications: If you would like to apply for this unique opportunity, we would love to hear from you. Please send an up to date CV via the relevant link. We're committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by emailing (if this email address has been removed by the job-board, full details for contact are available on our website). RedTech Recruitment Ltd focus on finding roles for Engineers and Scientists . Even if the above role isn t of interest, please visit our website to see our other opportunities. We are an equal opportunity employer and value diversity at RedTech. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
My client is based in the London area are currently looking to recruit for an experienced Lead GCP Data Architect to join their team. They are one of the leaders within the consulting space and are currently going through a period of growth and are looking for an experienced Lead Data Architect to join their team.They are backed by a huge Multi National equity firm who are looking to bolster my clients financial position. They are expected to see year on year growth, which will allow them to implement and utilise the most in demand and cutting edge technology on the market right now. They have just implemented Gen AI within their organisation are looking to utilise the newest technologies on the market. Your role will include: Enterprise Architecture & Delivery: Spearhead the design and implementation of scalable data ecosystems-spanning data lakes, lakehouses, and warehouses-leveraging platforms such as GCP, BigQuery Snowflake, Synapse, or Microsoft Fabric. Cloud Transformation Strategy: Lead cloud adoption and modernization initiatives across GCP, utilizing infrastructure-as-code (e.g., Terraform), CI/CD automation (e.g., Azure DevOps, GitHub), and DevSecOps best practices. Data Architecture & Modeling: Bring deep technical expertise in enterprise-grade data modeling using tools like ERwin, PowerDesigner, or ER/Studio, ensuring models are optimized for performance, scalability, and long-term maintainability. Data Integration & Pipeline Engineering: Design and implement resilient ETL/ELT workflows using technologies such as BigQuery, Dataflow, Informatica, or IBM DataStage, supporting both real-time and batch data processing. Governance & Data Quality Management: Establish comprehensive data governance frameworks, including metadata management and quality assurance, using platforms like Unity Catalog, Alation, Profisee, or DQ Pro. Strategic Advisory & Stakeholder Engagement: Serve as a strategic partner to executive stakeholders (e.g., CDOs, CIOs, Heads of Data), shaping data strategies, roadmaps, and business cases through in-depth assessments and advisory engagements. Leadership & Talent Development: Guide and mentor global, cross-functional teams of data professionals-architects, engineers, analysts, and scientists-fostering a culture of innovation, excellence, and continuous learning. The right candidate will: Have extensive knowledge of writing codes, building data pipelines and doing digital transformation and ingestion within a certain tech suite and extensive experience in implementing solutions around the GCP cloud environment, In depth understanding of Presales Activities, Workshops, Buds, Proposals etc, Excellent understanding of Data Modelling (Physical, Logical, Conceptual), An understanding of Enterprise Level Architetcure, Strong hands-on experience in Data Warehouse and Data Lake technologies preferably around GCP. My client is providing access to; Hybrid 2 days (London), 28 Days Holiday, Plus Bank Holiday Private Medical Health Pension Scheme And More This role is an urgent requirement, there are limited interview slots left, if interested send an up to date CV to Shoaib Khan - (url removed) or call (phone number removed) for a catch up in complete confidence. TRG's Data Teams offer more opportunities across the UK than any other recruiter We're the proud sponsor and supporter of SQLBits, AWS RE:Invent, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group
17/06/2025
Full time
My client is based in the London area are currently looking to recruit for an experienced Lead GCP Data Architect to join their team. They are one of the leaders within the consulting space and are currently going through a period of growth and are looking for an experienced Lead Data Architect to join their team.They are backed by a huge Multi National equity firm who are looking to bolster my clients financial position. They are expected to see year on year growth, which will allow them to implement and utilise the most in demand and cutting edge technology on the market right now. They have just implemented Gen AI within their organisation are looking to utilise the newest technologies on the market. Your role will include: Enterprise Architecture & Delivery: Spearhead the design and implementation of scalable data ecosystems-spanning data lakes, lakehouses, and warehouses-leveraging platforms such as GCP, BigQuery Snowflake, Synapse, or Microsoft Fabric. Cloud Transformation Strategy: Lead cloud adoption and modernization initiatives across GCP, utilizing infrastructure-as-code (e.g., Terraform), CI/CD automation (e.g., Azure DevOps, GitHub), and DevSecOps best practices. Data Architecture & Modeling: Bring deep technical expertise in enterprise-grade data modeling using tools like ERwin, PowerDesigner, or ER/Studio, ensuring models are optimized for performance, scalability, and long-term maintainability. Data Integration & Pipeline Engineering: Design and implement resilient ETL/ELT workflows using technologies such as BigQuery, Dataflow, Informatica, or IBM DataStage, supporting both real-time and batch data processing. Governance & Data Quality Management: Establish comprehensive data governance frameworks, including metadata management and quality assurance, using platforms like Unity Catalog, Alation, Profisee, or DQ Pro. Strategic Advisory & Stakeholder Engagement: Serve as a strategic partner to executive stakeholders (e.g., CDOs, CIOs, Heads of Data), shaping data strategies, roadmaps, and business cases through in-depth assessments and advisory engagements. Leadership & Talent Development: Guide and mentor global, cross-functional teams of data professionals-architects, engineers, analysts, and scientists-fostering a culture of innovation, excellence, and continuous learning. The right candidate will: Have extensive knowledge of writing codes, building data pipelines and doing digital transformation and ingestion within a certain tech suite and extensive experience in implementing solutions around the GCP cloud environment, In depth understanding of Presales Activities, Workshops, Buds, Proposals etc, Excellent understanding of Data Modelling (Physical, Logical, Conceptual), An understanding of Enterprise Level Architetcure, Strong hands-on experience in Data Warehouse and Data Lake technologies preferably around GCP. My client is providing access to; Hybrid 2 days (London), 28 Days Holiday, Plus Bank Holiday Private Medical Health Pension Scheme And More This role is an urgent requirement, there are limited interview slots left, if interested send an up to date CV to Shoaib Khan - (url removed) or call (phone number removed) for a catch up in complete confidence. TRG's Data Teams offer more opportunities across the UK than any other recruiter We're the proud sponsor and supporter of SQLBits, AWS RE:Invent, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group
FULL STACK DEVELOPER LONDON HYBRID 50,000 - 60,000 Our Client, a Top 20 Accountancy firm who have an excellent reputation in their space, are looking for a React/Full Stack Developer to join their team on a permanent, full time basis. This person MUST be experienced in Python , Django and .react They are seeking an experienced Full Stack Developer to join their Transformation team to contribute to the development of innovative products that aim to revolutionise the way auditors and accountants work. This role involves accelerating the creation of the companies core product suite, helping to automate repetitive tasks and enable accountants to focus on data-driven insights and analytics. This position provides a fantastic opportunity to work in a small, focused and confident team, with mentorship from experienced developers and data scientists that will enable you to develop your skills and offers a chance for career progression as the role evolves. Full Stack Developer - Responsibilities Collaborate with a small team of developers, contributing to daily code reviews and merge requests. Develop across the entire product stack, including: Frontend interface Backend API layer Analytics/data processing engine Lead projects independently, from requirements gathering through to deployment. Mentor junior developers to support their technical growth. Solve complex challenges related to data and presentation in accountancy. Full Stack Developer - Experience Required A minimum of 3 years of experience as a full-stack developer, delivering robust production-ready solutions. Proficiency in the following technologies: - Backend: Python, Django - Frontend: JavaScript, React, Next.js - Version control: Git Comfortable working with Python and JavaScript professionally, with experience in Django and React. Ability to build data-intensive applications and manage complex backend logic, including external API integrations. Experience in creating responsive user interfaces that function across browsers and mobile devices. Capable of working independently and taking ownership of technical projects. Strong analytical skills and problem-solving abilities. Effective time management and prioritisation skills under tight deadlines. Bonus Skills & Expertise Experience deploying and managing applications using Azure and Docker. Familiarity with frameworks such as LangChain and expertise in Retrieval-Augmented Generation (RAG) models for AI-driven applications. Proficiency with pandas for data manipulation. Full Stack Developer - What's in it for you? Salary Reviews: Twice a year to recognise your contributions. Generous Annual Leave: Enjoy 25 days plus three days off at Christmas. Flexible Working Comprehensive Wellbeing Support: Access to Digicare+, Employee Assistance Programme, and more! Private Medical Insurance Professional Subscriptions: Invest in your growth and development. Seniority Level Associate Industry Accounting Employment Type Full-time Job Functions Information Technology Skills React.js Django Stack Code Review Data Manipulation Full-Stack Development May & Stephens Ltd is acting as an Employment Agency in relation to this vacancy.
17/06/2025
Full time
FULL STACK DEVELOPER LONDON HYBRID 50,000 - 60,000 Our Client, a Top 20 Accountancy firm who have an excellent reputation in their space, are looking for a React/Full Stack Developer to join their team on a permanent, full time basis. This person MUST be experienced in Python , Django and .react They are seeking an experienced Full Stack Developer to join their Transformation team to contribute to the development of innovative products that aim to revolutionise the way auditors and accountants work. This role involves accelerating the creation of the companies core product suite, helping to automate repetitive tasks and enable accountants to focus on data-driven insights and analytics. This position provides a fantastic opportunity to work in a small, focused and confident team, with mentorship from experienced developers and data scientists that will enable you to develop your skills and offers a chance for career progression as the role evolves. Full Stack Developer - Responsibilities Collaborate with a small team of developers, contributing to daily code reviews and merge requests. Develop across the entire product stack, including: Frontend interface Backend API layer Analytics/data processing engine Lead projects independently, from requirements gathering through to deployment. Mentor junior developers to support their technical growth. Solve complex challenges related to data and presentation in accountancy. Full Stack Developer - Experience Required A minimum of 3 years of experience as a full-stack developer, delivering robust production-ready solutions. Proficiency in the following technologies: - Backend: Python, Django - Frontend: JavaScript, React, Next.js - Version control: Git Comfortable working with Python and JavaScript professionally, with experience in Django and React. Ability to build data-intensive applications and manage complex backend logic, including external API integrations. Experience in creating responsive user interfaces that function across browsers and mobile devices. Capable of working independently and taking ownership of technical projects. Strong analytical skills and problem-solving abilities. Effective time management and prioritisation skills under tight deadlines. Bonus Skills & Expertise Experience deploying and managing applications using Azure and Docker. Familiarity with frameworks such as LangChain and expertise in Retrieval-Augmented Generation (RAG) models for AI-driven applications. Proficiency with pandas for data manipulation. Full Stack Developer - What's in it for you? Salary Reviews: Twice a year to recognise your contributions. Generous Annual Leave: Enjoy 25 days plus three days off at Christmas. Flexible Working Comprehensive Wellbeing Support: Access to Digicare+, Employee Assistance Programme, and more! Private Medical Insurance Professional Subscriptions: Invest in your growth and development. Seniority Level Associate Industry Accounting Employment Type Full-time Job Functions Information Technology Skills React.js Django Stack Code Review Data Manipulation Full-Stack Development May & Stephens Ltd is acting as an Employment Agency in relation to this vacancy.
Job Title: Data Solutions Architect - Consulting; Banking & Finance Location: London (Hybrid - 2 days/week in office) Employment Type: Permanent Salary: Up to 126,000 + 15% Annual Bonus + Benefits Start Date: ASAP (Short notice preferred) A leading global data consultancy is seeking a highly experienced Data Solutions Architect to join its Data Management practice, supporting clients in the Banking and Financial Services sector. This is a strategic, client-facing role with a strong emphasis on solution design and advisory , rather than hands-on implementation. The Role This position is ideal for a technically adept professional with deep domain expertise in banking and broader finance , who can confidently engage with senior stakeholders to shape data strategies, modernise platforms, and drive cloud transformation initiatives. You will lead the design of enterprise data architectures, support pre-sales and RFPs, and guide delivery teams - acting as a trusted advisor to CDOs, CIOs, and Heads of Data. As such, strong communication, consulting, and leadership skills are essential. You will be responsible for architecting and leading the delivery of enterprise-scale data platforms, with a focus on Google Cloud - though occasionally you may also work with Microsoft / Azure and AWS technologies. This will involve leading and mentoring global teams of Data Engineers, Analysts and Data Scientists. You will be encouraged to stay up-to-date with emerging trends in the Data and AI space, contributing to internal innovation and capability development. Candidate Profile Experience designing enterprise data solutions on the Google Cloud Platform (GCP) Enterprise data modelling experience Proven experience leading and developing high-performing teams Experience in the banking domain (e.g. commercial, investment, or retail banking) Experience with DevOps tools (e.g. Terraform, Azure DevOps, GitHub) Excellent communication, stakeholder management and engagement skills What's on Offer Salary up to 126,000 per annum 15% annual performance bonus Private healthcare, critical illness cover, life assurance, and income protection Generous pension scheme Extensive learning and development opportunities Inclusive and diverse work environment Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check. Tenth Revolution Group / Nigel Frank is the UK's leading recruiter for Data and AI roles. We proudly sponsor SQLBits and the London Power BI User Group . For a confidential discussion about this role or your job search, contact (url removed)
17/06/2025
Full time
Job Title: Data Solutions Architect - Consulting; Banking & Finance Location: London (Hybrid - 2 days/week in office) Employment Type: Permanent Salary: Up to 126,000 + 15% Annual Bonus + Benefits Start Date: ASAP (Short notice preferred) A leading global data consultancy is seeking a highly experienced Data Solutions Architect to join its Data Management practice, supporting clients in the Banking and Financial Services sector. This is a strategic, client-facing role with a strong emphasis on solution design and advisory , rather than hands-on implementation. The Role This position is ideal for a technically adept professional with deep domain expertise in banking and broader finance , who can confidently engage with senior stakeholders to shape data strategies, modernise platforms, and drive cloud transformation initiatives. You will lead the design of enterprise data architectures, support pre-sales and RFPs, and guide delivery teams - acting as a trusted advisor to CDOs, CIOs, and Heads of Data. As such, strong communication, consulting, and leadership skills are essential. You will be responsible for architecting and leading the delivery of enterprise-scale data platforms, with a focus on Google Cloud - though occasionally you may also work with Microsoft / Azure and AWS technologies. This will involve leading and mentoring global teams of Data Engineers, Analysts and Data Scientists. You will be encouraged to stay up-to-date with emerging trends in the Data and AI space, contributing to internal innovation and capability development. Candidate Profile Experience designing enterprise data solutions on the Google Cloud Platform (GCP) Enterprise data modelling experience Proven experience leading and developing high-performing teams Experience in the banking domain (e.g. commercial, investment, or retail banking) Experience with DevOps tools (e.g. Terraform, Azure DevOps, GitHub) Excellent communication, stakeholder management and engagement skills What's on Offer Salary up to 126,000 per annum 15% annual performance bonus Private healthcare, critical illness cover, life assurance, and income protection Generous pension scheme Extensive learning and development opportunities Inclusive and diverse work environment Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check. Tenth Revolution Group / Nigel Frank is the UK's leading recruiter for Data and AI roles. We proudly sponsor SQLBits and the London Power BI User Group . For a confidential discussion about this role or your job search, contact (url removed)
Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. As a Data Scientist Intern, you'll be part of our rapidly growing team. You'll have the chance to apply data science methods and analytics to real-world business situations across a variety of industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, scrappy, and communicative. We are looking for talented individuals with a passion for data science, statistics, operations research and transforming organizations into AI led innovative companies. Successful candidates possess the following: Comfortable in a client-facing role with the ambition to lead teams Likes to distill complex results or processes into simple, clear visualizations Explain sophisticated data science concepts in an understandable manner Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients Have strong project management skills What You'll Bring Currently enrolled in a university Master's or PhD degree program in Computer Research Science, Data Science, Statistics, Operations Research, or related field TECHNOLOGIES: Programming Languages: Python Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
17/06/2025
Full time
Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. As a Data Scientist Intern, you'll be part of our rapidly growing team. You'll have the chance to apply data science methods and analytics to real-world business situations across a variety of industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, scrappy, and communicative. We are looking for talented individuals with a passion for data science, statistics, operations research and transforming organizations into AI led innovative companies. Successful candidates possess the following: Comfortable in a client-facing role with the ambition to lead teams Likes to distill complex results or processes into simple, clear visualizations Explain sophisticated data science concepts in an understandable manner Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients Have strong project management skills What You'll Bring Currently enrolled in a university Master's or PhD degree program in Computer Research Science, Data Science, Statistics, Operations Research, or related field TECHNOLOGIES: Programming Languages: Python Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
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