Senior Development Executive - Mathematical, Physical, and Life Sciences (MPLS) University of Oxford Location: Oxford, UK with some hybrid working options Duration: Permanent and full-time role Salary: Grade 8 role with a salary range of £49,119 - £58,265 pa, with possible extension to £65,336 (including an Oxford University Weighting of £1,730 per year, pro rata) Have you ever wondered how the universe was first formed - or how the Earth works today, from earthquakes and volcanoes to climate systems and oceans? What about how technology and AI will change the world of the future - from healthcare diagnostics and drug discovery, to the next generations of batteries, cleaner energy, and resilient infrastructure? The University of Oxford's nine academic departments within MPLS span the full spectrum of the mathematical, computational, physical, engineering and life sciences, and undertake both fundamental research and cutting edge applied work. Research in MPLS tackles major societal and technological challenges - whether developing new energy solutions or improving cancer treatments, understanding climate change processes, or helping to preserve biodiversity. The Division is proud to be the home of some of the most creative and innovative scientific thinkers and leaders. As Senior Development Executive, you would deliver philanthropic support that helps to fund breakthroughs in this research and exploration, that will have a positive impact on the world we live in and beyond. Oxford will shortly be embarking on the public phase of a multi billion campaign - the most ambitious in higher education outside North America, so this opportunity comes up at a career defining moment in the UK. If this sounds like the kind of challenge you've been looking for, please read on. The opportunity Philanthropy has played a key role in enabling the ambitions of the MPLS Division and wider University, and we are seeking a talented fundraiser who is excited by the opportunity to raise money to support ground breaking academics and research tackling the world's hardest challenges, and enabling talented students from all backgrounds to study at Oxford. This could be your opportunity to help the brightest students, academics and researchers develop solutions that protect and improve our lives on this planet and beyond. Working closely with the Head of Development - MPLS, as well as some of the most inspiring scientists in the world, you will forge relationships with existing and new donors. You will have the support of excellent colleagues across the sciences at Oxford as well as the wider Development & Alumni Engagement office - the leading higher education fundraising team outside North America. About you You are an accomplished philanthropic fundraiser with a proven track record of securing major gifts and a confident and collegiate approach to achieving results. Creative, strategic and relationship driven, you bring the ability to engage, inspire and influence donors, enabling you to be successful in major gift fundraising in the £100k-£1m+ range across individuals, trusts and corporate partners. You will play a central role in building and stewarding meaningful relationships, working closely with a diverse community of donors and collaborating with colleagues and stakeholders across the MPLS Division. Your success is underpinned by your: strong record of quickly establishing credibility and trust with senior internal and external stakeholders; intellectual curiosity and an active interest in the world around you; collaborative mindset, combined with an entrepreneurial and proactive approach; ability to work confidently in the detail while maintaining a clear focus on strategic objectives; high emotional intelligence and excellent interpersonal skills, enabling you to connect with people from all backgrounds. An interest in science is essential, but you do not need an academic or professional background in the field. Above all, we are seeking a passionate advocate for philanthropy - who believes in the impact it can have, knows and implements best practices to achieve results, AND is motivated to enable world changing discoveries. In return Your happiness and wellbeing at work matters to us, so we offer a range of family friendly and financial benefits including: Flexible hybrid working An excellent contributory pension scheme 38 days annual leave Training and development opportunities Membership of CASE A comprehensive range of childcare services Family leave schemes Cycle loan scheme Membership of a variety of social and sports clubs Discounted bus travel and Season Ticket travel loan You could be helping to deliver philanthropic support that funds breakthroughs in science and improve lives around the world. If this sounds like the kind of challenge you've been looking for, we'd love to hear from you. We are partnering with Richmond Associates for this search. To request a copy of the candidate information pack and to apply, please visit or contact them at or (0). Closing date for applications is 12noon Thursday, 26 March 2026 Interviews with the University of Oxford are scheduled to take place from mid April 2026. The University of Oxford Development and Alumni Engagement Office is committed to having a team that is made up of diverse skills and experiences, and reflects the community that we serve. We encourage applicants from all sectors of the community and are especially keen to encourage candidates from under represented groups to apply.
Mar 23, 2026
Full time
Senior Development Executive - Mathematical, Physical, and Life Sciences (MPLS) University of Oxford Location: Oxford, UK with some hybrid working options Duration: Permanent and full-time role Salary: Grade 8 role with a salary range of £49,119 - £58,265 pa, with possible extension to £65,336 (including an Oxford University Weighting of £1,730 per year, pro rata) Have you ever wondered how the universe was first formed - or how the Earth works today, from earthquakes and volcanoes to climate systems and oceans? What about how technology and AI will change the world of the future - from healthcare diagnostics and drug discovery, to the next generations of batteries, cleaner energy, and resilient infrastructure? The University of Oxford's nine academic departments within MPLS span the full spectrum of the mathematical, computational, physical, engineering and life sciences, and undertake both fundamental research and cutting edge applied work. Research in MPLS tackles major societal and technological challenges - whether developing new energy solutions or improving cancer treatments, understanding climate change processes, or helping to preserve biodiversity. The Division is proud to be the home of some of the most creative and innovative scientific thinkers and leaders. As Senior Development Executive, you would deliver philanthropic support that helps to fund breakthroughs in this research and exploration, that will have a positive impact on the world we live in and beyond. Oxford will shortly be embarking on the public phase of a multi billion campaign - the most ambitious in higher education outside North America, so this opportunity comes up at a career defining moment in the UK. If this sounds like the kind of challenge you've been looking for, please read on. The opportunity Philanthropy has played a key role in enabling the ambitions of the MPLS Division and wider University, and we are seeking a talented fundraiser who is excited by the opportunity to raise money to support ground breaking academics and research tackling the world's hardest challenges, and enabling talented students from all backgrounds to study at Oxford. This could be your opportunity to help the brightest students, academics and researchers develop solutions that protect and improve our lives on this planet and beyond. Working closely with the Head of Development - MPLS, as well as some of the most inspiring scientists in the world, you will forge relationships with existing and new donors. You will have the support of excellent colleagues across the sciences at Oxford as well as the wider Development & Alumni Engagement office - the leading higher education fundraising team outside North America. About you You are an accomplished philanthropic fundraiser with a proven track record of securing major gifts and a confident and collegiate approach to achieving results. Creative, strategic and relationship driven, you bring the ability to engage, inspire and influence donors, enabling you to be successful in major gift fundraising in the £100k-£1m+ range across individuals, trusts and corporate partners. You will play a central role in building and stewarding meaningful relationships, working closely with a diverse community of donors and collaborating with colleagues and stakeholders across the MPLS Division. Your success is underpinned by your: strong record of quickly establishing credibility and trust with senior internal and external stakeholders; intellectual curiosity and an active interest in the world around you; collaborative mindset, combined with an entrepreneurial and proactive approach; ability to work confidently in the detail while maintaining a clear focus on strategic objectives; high emotional intelligence and excellent interpersonal skills, enabling you to connect with people from all backgrounds. An interest in science is essential, but you do not need an academic or professional background in the field. Above all, we are seeking a passionate advocate for philanthropy - who believes in the impact it can have, knows and implements best practices to achieve results, AND is motivated to enable world changing discoveries. In return Your happiness and wellbeing at work matters to us, so we offer a range of family friendly and financial benefits including: Flexible hybrid working An excellent contributory pension scheme 38 days annual leave Training and development opportunities Membership of CASE A comprehensive range of childcare services Family leave schemes Cycle loan scheme Membership of a variety of social and sports clubs Discounted bus travel and Season Ticket travel loan You could be helping to deliver philanthropic support that funds breakthroughs in science and improve lives around the world. If this sounds like the kind of challenge you've been looking for, we'd love to hear from you. We are partnering with Richmond Associates for this search. To request a copy of the candidate information pack and to apply, please visit or contact them at or (0). Closing date for applications is 12noon Thursday, 26 March 2026 Interviews with the University of Oxford are scheduled to take place from mid April 2026. The University of Oxford Development and Alumni Engagement Office is committed to having a team that is made up of diverse skills and experiences, and reflects the community that we serve. We encourage applicants from all sectors of the community and are especially keen to encourage candidates from under represented groups to apply.
At Audible, we believe stories have the power to transform lives. It's why we work with some of the world's leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us. ABOUT THIS ROLE As a Senior Business Intelligence Engineer within the Content Analytics team at Audible, you'll serve as a data-driven decision enabler for our senior Content leadership team, as well as the analytics conduit for European Content teams. You'll be responsible for designing, implementing, and optimizing the reporting processes that deliver critical KPIs and business insights across our organization. Working with loosely defined problems, you'll transform complex data into clear, actionable narratives. Your deep expertise in the Content business (audiobooks, physical books, and/or other digital media) will help anticipate leadership questions before they're asked. Your role will be pivotal in maintaining data governance standards while making insights readily accessible through efficient, self-service data solutions. ABOUT YOU You're a data storyteller who balances technical expertise with strong business acumen, particularly in the world of content. You excel at working cross-functionally, translating business requirements into robust analytical frameworks. You're naturally curious, with an ability to look beyond immediate data requests to identify the underlying strategic questions that drive our Content business forward. You thrive in ambiguous situations, delivering independently with minimal guidance while continuously improving data processes. Your communication skills are exceptional, allowing you to distill complex analyses into compelling insights for both technical and executive audiences. You establish strong relationships with your stakeholders that earn trust and influence decision-making. As a Senior Business Intelligence Engineer, you will - Design, implement, and optimize BI solutions that effectively track KPIs and provide insights for business reviews and executive reporting, as well as develop dashboards that enable self-serve access to data, ensuring speed, reliability, and scalability - Break down high-level business metrics into constituent components and leading indicators that provide actionable insights for leadership as part of monthly and quarterly business reviews - Be a proactive thought partner, anticipating leadership questions and developing analyses and visualizations that address emerging business needs - Automate the identification of key contributing dimensions to metric variance, enabling faster root cause analysis - Develop concise, impactful data visualizations that communicate complex trends and insights effectively to executive audiences - Bridge analyses with your knowledge of content businesses (including production, distribution, engagement), all while keeping your finger on the pulse of micro and macro industry trends in the book and digital media spaces - Develop clear documentation that bridges technical implementation with business context, enabling both technical and non-technical stakeholders to understand reporting methodologies - Communicate findings and insights to stakeholders in a clear, concise, and actionable manner - Balance stakeholder requirements with technical constraints while maintaining a focus on long-term solutions - Serve as a data governance advocate, ensuring consistency in metrics definitions and data quality - Partner with data scientists, engineers, product managers, and business leaders to align reporting with strategic objectives - Invest in stakeholder relationships that build trust and enable insights to influence business decision-making - Serve as the analytics conduit for European Content teams, facilitating analyses and insights to the Global team ABOUT AUDIBLE Audible is the leading producer and provider of audio storytelling. We spark listeners' imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home. BASIC QUALIFICATIONS - Experience with data analysis tools such as Advanced Excel, SQL, Tableau, Python - 7+ years equivalent relevant experience in a data driven/analytical role or 5+ years with an advanced/technical degree in Analytics, Business, Operations Research, Economics, Mathematics, Statistics, Engineering, Sciences (Political or Natural) or similar field - 2+ years of relevant Content-related experience, ideally with audiobooks, physical books, and/or other digital media - Experience running projects across multiple functions with diverse stakeholder groups (cross functional, cross-geo) PREFERRED QUALIFICATIONS - Experience supporting executive reporting and business reviews - Ability to work in ambiguous situations with limited guidance - Ability to work an adjusted or flexible schedule that meets the occasional needs of US meeting times - Understanding of data governance principles and practices - Track record of process improvement initiatives that enhanced data accessibility or quality - Strong interpersonal skills with ability to build relationships Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Mar 23, 2026
Full time
At Audible, we believe stories have the power to transform lives. It's why we work with some of the world's leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us. ABOUT THIS ROLE As a Senior Business Intelligence Engineer within the Content Analytics team at Audible, you'll serve as a data-driven decision enabler for our senior Content leadership team, as well as the analytics conduit for European Content teams. You'll be responsible for designing, implementing, and optimizing the reporting processes that deliver critical KPIs and business insights across our organization. Working with loosely defined problems, you'll transform complex data into clear, actionable narratives. Your deep expertise in the Content business (audiobooks, physical books, and/or other digital media) will help anticipate leadership questions before they're asked. Your role will be pivotal in maintaining data governance standards while making insights readily accessible through efficient, self-service data solutions. ABOUT YOU You're a data storyteller who balances technical expertise with strong business acumen, particularly in the world of content. You excel at working cross-functionally, translating business requirements into robust analytical frameworks. You're naturally curious, with an ability to look beyond immediate data requests to identify the underlying strategic questions that drive our Content business forward. You thrive in ambiguous situations, delivering independently with minimal guidance while continuously improving data processes. Your communication skills are exceptional, allowing you to distill complex analyses into compelling insights for both technical and executive audiences. You establish strong relationships with your stakeholders that earn trust and influence decision-making. As a Senior Business Intelligence Engineer, you will - Design, implement, and optimize BI solutions that effectively track KPIs and provide insights for business reviews and executive reporting, as well as develop dashboards that enable self-serve access to data, ensuring speed, reliability, and scalability - Break down high-level business metrics into constituent components and leading indicators that provide actionable insights for leadership as part of monthly and quarterly business reviews - Be a proactive thought partner, anticipating leadership questions and developing analyses and visualizations that address emerging business needs - Automate the identification of key contributing dimensions to metric variance, enabling faster root cause analysis - Develop concise, impactful data visualizations that communicate complex trends and insights effectively to executive audiences - Bridge analyses with your knowledge of content businesses (including production, distribution, engagement), all while keeping your finger on the pulse of micro and macro industry trends in the book and digital media spaces - Develop clear documentation that bridges technical implementation with business context, enabling both technical and non-technical stakeholders to understand reporting methodologies - Communicate findings and insights to stakeholders in a clear, concise, and actionable manner - Balance stakeholder requirements with technical constraints while maintaining a focus on long-term solutions - Serve as a data governance advocate, ensuring consistency in metrics definitions and data quality - Partner with data scientists, engineers, product managers, and business leaders to align reporting with strategic objectives - Invest in stakeholder relationships that build trust and enable insights to influence business decision-making - Serve as the analytics conduit for European Content teams, facilitating analyses and insights to the Global team ABOUT AUDIBLE Audible is the leading producer and provider of audio storytelling. We spark listeners' imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home. BASIC QUALIFICATIONS - Experience with data analysis tools such as Advanced Excel, SQL, Tableau, Python - 7+ years equivalent relevant experience in a data driven/analytical role or 5+ years with an advanced/technical degree in Analytics, Business, Operations Research, Economics, Mathematics, Statistics, Engineering, Sciences (Political or Natural) or similar field - 2+ years of relevant Content-related experience, ideally with audiobooks, physical books, and/or other digital media - Experience running projects across multiple functions with diverse stakeholder groups (cross functional, cross-geo) PREFERRED QUALIFICATIONS - Experience supporting executive reporting and business reviews - Ability to work in ambiguous situations with limited guidance - Ability to work an adjusted or flexible schedule that meets the occasional needs of US meeting times - Understanding of data governance principles and practices - Track record of process improvement initiatives that enhanced data accessibility or quality - Strong interpersonal skills with ability to build relationships Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our client is a multi-award winning, fast growing, service orientated independent insight agency. They pride themselves on innovative research solutions and excellent client service and have an enviable list of clients and ambitious growth plans. They are now hiring experienced researchers at a variety of levels - Senior Research Executive, Research Manager and Senior Research to help them to conti click apply for full job details
Mar 23, 2026
Full time
Our client is a multi-award winning, fast growing, service orientated independent insight agency. They pride themselves on innovative research solutions and excellent client service and have an enviable list of clients and ambitious growth plans. They are now hiring experienced researchers at a variety of levels - Senior Research Executive, Research Manager and Senior Research to help them to conti click apply for full job details
Graduate Sales Development Representative Hoxton Square, London £30k base salary + Genuine uncapped £60k OTE Private Health/Dental Care + Generous Stock Options + Smart Pension + Cycle to Work scheme Are you a highly ambitious, competitive and money hungry young graduate wanting to launch a career in technology sales with one of the fastest growing and innovative AI companies in Europe? Our client is a cutting-edge AI start-up backed by Tier 1 investors and industry leaders from DeepMind, OpenAI, and Datadog. They're transforming how inventors, scientists, and R&D teams manage intellectual property (IP) - using AI-driven tools that accelerate patent searches, filings, and innovation analysis. This is a unique opportunity to join a high-growth company at the intersection of AI, IP, and innovation, helping the world's most forward-thinking organisations - from Fortune 500 companies to global patent leaders - protect and develop their ideas faster. What You'll Do Identify and engage potential customers across cutting-edge tech and innovation sectors Research and target IP and R&D professionals, driving creative outreach via email, linkedin, and calls Qualify new business opportunities and set up high-quality meetings for the sales team Experiment with messaging, contribute to the sales strategy, and help shape go-to-market plans Collaborate directly with a world-class founding team from Palantir, Amazon, and BCG What We're Looking For Graduate or of graduate calibre (STEM, legal or top university background ideal) Strong interest in technology, AI, innovation, or intellectual property Ambitious, curious, and confident in communicating with senior professionals Thrives in a fast-paced, results-driven environment and enjoys taking ownership What's On Offer Competitive £30k base salary plus a genuine OTE of £60k A host of corporate benefits such as Bupa Health/Dental Care, Stock Options, Smart Pension and Cycle to Work scheme Potential opportunities for international travel - including to the US - as the company continues to grow and expand globally. Fast-track career progression and hands-on experience with cutting-edge AI tech Work with global clients shaping the future of patent and innovation management Collaborative London office (Hoxton Square) with a close-knit, high-performing team If you're hungry to learn, excited by technology, and want to help drive innovation worldwide - this is your chance to start your career with one of London's most exciting AI start-ups. Apply now to join a mission that's redefining how the world protects and powers innovation.
Mar 23, 2026
Full time
Graduate Sales Development Representative Hoxton Square, London £30k base salary + Genuine uncapped £60k OTE Private Health/Dental Care + Generous Stock Options + Smart Pension + Cycle to Work scheme Are you a highly ambitious, competitive and money hungry young graduate wanting to launch a career in technology sales with one of the fastest growing and innovative AI companies in Europe? Our client is a cutting-edge AI start-up backed by Tier 1 investors and industry leaders from DeepMind, OpenAI, and Datadog. They're transforming how inventors, scientists, and R&D teams manage intellectual property (IP) - using AI-driven tools that accelerate patent searches, filings, and innovation analysis. This is a unique opportunity to join a high-growth company at the intersection of AI, IP, and innovation, helping the world's most forward-thinking organisations - from Fortune 500 companies to global patent leaders - protect and develop their ideas faster. What You'll Do Identify and engage potential customers across cutting-edge tech and innovation sectors Research and target IP and R&D professionals, driving creative outreach via email, linkedin, and calls Qualify new business opportunities and set up high-quality meetings for the sales team Experiment with messaging, contribute to the sales strategy, and help shape go-to-market plans Collaborate directly with a world-class founding team from Palantir, Amazon, and BCG What We're Looking For Graduate or of graduate calibre (STEM, legal or top university background ideal) Strong interest in technology, AI, innovation, or intellectual property Ambitious, curious, and confident in communicating with senior professionals Thrives in a fast-paced, results-driven environment and enjoys taking ownership What's On Offer Competitive £30k base salary plus a genuine OTE of £60k A host of corporate benefits such as Bupa Health/Dental Care, Stock Options, Smart Pension and Cycle to Work scheme Potential opportunities for international travel - including to the US - as the company continues to grow and expand globally. Fast-track career progression and hands-on experience with cutting-edge AI tech Work with global clients shaping the future of patent and innovation management Collaborative London office (Hoxton Square) with a close-knit, high-performing team If you're hungry to learn, excited by technology, and want to help drive innovation worldwide - this is your chance to start your career with one of London's most exciting AI start-ups. Apply now to join a mission that's redefining how the world protects and powers innovation.
Who We Are BCG Expand is a specialist firm providing unique data-driven business intelligence as a trusted advisor to senior executives across the world's leading financial services firms to help them to operate more effectively. Expand's activities are focused on data benchmarking in technology, operations, FinTech and market data, with expertise around strategic cost and human resourcing benchmarking in wholesale finance. Founded in 2001 as an independent research boutique, Expand is a wholly owned subsidiary of the Boston Consulting Group, headquartered in London and with offices in Singapore and New York. At Expand we're proud of our friendly, inclusive and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and maintain our professional, supportive and entrepreneurial working culture that we all enjoy. What You'll Do We're looking for a highly skilled Principal Engineer with a passion for data, cloud technologies, and building robust, scalable solutions - who also brings strategic product thinking and cross-functional leadership . In this role, you'll not only lead the design and implementation of the data infrastructure that powers advanced analytics and data science across our platforms, but also contribute to the strategic direction, roadmap, and execution of data products in collaboration with senior stakeholders. Architect & Build Scalable Data Solutions Collaborate closely with senior product stakeholders to understand data needs and architect end-to-end ingestion pipelines Design and build robust ETL/ELT processes and data architectures using modern tools and techniques Lead database design, data modelling, and integration strategies to support analytics at scale Drive Data Integration & Management Design and implement secure, scalable, and efficient data ingestion frameworks across structured, semi-structured, and unstructured data Partner with product owners and engineers to develop data exchange protocols, ensuring best practices in data governance and security Create and manage hybrid cloud data environments and support data pipelines for big data platforms Product Strategy & Execution Contribute to the strategy and vision for our data products, helping to define and evolve product roadmaps from launch through scale Oversee day-to-day execution of product initiatives across cross-functional teams Lead by example to help foster a high-performing, collaborative, and agile culture Proactively identify and mitigate business, operational, and governance risks Provide clear, data-driven updates on product performance and technical milestones to stakeholders Collaborate Across Disciplines Work together with data scientists to understand analytical needs and curate high-quality data sets Map data fields to business hypotheses, wrangle data, and ensure datasets are model-ready Contribute to a cross-functional engineering culture with a focus on quality, automation, and continuous improvement Ensure Secure & Compliant Practices Apply strong knowledge of information security principles to ensure compliant handling of sensitive client data Build and deploy solutions with security, maintainability, and scalability top of mind What You'll Bring An ideal candidate will have: Proven experience in a hands-on technical role delivering impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging, monitoring, and release management Ability to extract insights from complex and disparate data sets and communicate clearly with stakeholders Hands-on experience with cloud platforms such as AWS, Azure, or GCP Familiarity with traditional ETL tools (e.g., Informatica, Talend, Pentaho, DataStage) and data warehousing concepts Strong understanding of data security, compliance , and governance best practices Experience leading or influencing cross-functional teams in a product or platform environment Strong stakeholder management and communication skills Additional info At Expand we're proud of our inclusive, diverse and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and create a welcoming culture for us all to enjoy. Studies have shown that women and people of colour are less likely to apply for jobs unless they meet every single qualification, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. If you're a quick learner, conscientious and friendly, you might be just the person we're looking for. 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.
Mar 23, 2026
Full time
Who We Are BCG Expand is a specialist firm providing unique data-driven business intelligence as a trusted advisor to senior executives across the world's leading financial services firms to help them to operate more effectively. Expand's activities are focused on data benchmarking in technology, operations, FinTech and market data, with expertise around strategic cost and human resourcing benchmarking in wholesale finance. Founded in 2001 as an independent research boutique, Expand is a wholly owned subsidiary of the Boston Consulting Group, headquartered in London and with offices in Singapore and New York. At Expand we're proud of our friendly, inclusive and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and maintain our professional, supportive and entrepreneurial working culture that we all enjoy. What You'll Do We're looking for a highly skilled Principal Engineer with a passion for data, cloud technologies, and building robust, scalable solutions - who also brings strategic product thinking and cross-functional leadership . In this role, you'll not only lead the design and implementation of the data infrastructure that powers advanced analytics and data science across our platforms, but also contribute to the strategic direction, roadmap, and execution of data products in collaboration with senior stakeholders. Architect & Build Scalable Data Solutions Collaborate closely with senior product stakeholders to understand data needs and architect end-to-end ingestion pipelines Design and build robust ETL/ELT processes and data architectures using modern tools and techniques Lead database design, data modelling, and integration strategies to support analytics at scale Drive Data Integration & Management Design and implement secure, scalable, and efficient data ingestion frameworks across structured, semi-structured, and unstructured data Partner with product owners and engineers to develop data exchange protocols, ensuring best practices in data governance and security Create and manage hybrid cloud data environments and support data pipelines for big data platforms Product Strategy & Execution Contribute to the strategy and vision for our data products, helping to define and evolve product roadmaps from launch through scale Oversee day-to-day execution of product initiatives across cross-functional teams Lead by example to help foster a high-performing, collaborative, and agile culture Proactively identify and mitigate business, operational, and governance risks Provide clear, data-driven updates on product performance and technical milestones to stakeholders Collaborate Across Disciplines Work together with data scientists to understand analytical needs and curate high-quality data sets Map data fields to business hypotheses, wrangle data, and ensure datasets are model-ready Contribute to a cross-functional engineering culture with a focus on quality, automation, and continuous improvement Ensure Secure & Compliant Practices Apply strong knowledge of information security principles to ensure compliant handling of sensitive client data Build and deploy solutions with security, maintainability, and scalability top of mind What You'll Bring An ideal candidate will have: Proven experience in a hands-on technical role delivering impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging, monitoring, and release management Ability to extract insights from complex and disparate data sets and communicate clearly with stakeholders Hands-on experience with cloud platforms such as AWS, Azure, or GCP Familiarity with traditional ETL tools (e.g., Informatica, Talend, Pentaho, DataStage) and data warehousing concepts Strong understanding of data security, compliance , and governance best practices Experience leading or influencing cross-functional teams in a product or platform environment Strong stakeholder management and communication skills Additional info At Expand we're proud of our inclusive, diverse and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and create a welcoming culture for us all to enjoy. Studies have shown that women and people of colour are less likely to apply for jobs unless they meet every single qualification, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. If you're a quick learner, conscientious and friendly, you might be just the person we're looking for. 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.
Global R&D Director, PLM Ecosystems City: Kingston upon Hull We are Reckitt Home to the world's best loved and trusted hygiene, health, and nutrition brands. Our purpose defines why we exist: to protect, heal and nurture in the relentless pursuit of a cleaner, healthier world. We are a global team united by this purpose.Join us in our fight to make access to the highest quality hygiene, wellness, and nourishment a right and not a privilege. Research & Development In Research and Development we're full of highly skilled talents that include Scientists, Engineers, Medical, Clinical and Regulatory professionals - all working to create a cleaner, healthier world. With nine Centres of Excellence, we continually seek out new opportunities by using science, our entrepreneurial flare and our fearless innovation to develop and enhance our existing portfolio, never compromising on quality or performance. We do the right thing, always, by ensuring we act with responsibility and integrity, by complying with regulatory legislation across the globe, whilst ensuring our products are safe for our consumers and are to the highest quality. The size of our organisation means you'll have the opportunity to learn and work in different functions within Research and Development, giving you exposure to different disciplines, teams and environments. You will also have access to our Research and Development Academy, designed to develop our team and allow you to grow in our great organisation. About the role This role provides the business leadership for Reckitt's largest-ever digital transformation: the execution of a next generation Product Lifecycle Management (PLM) and connected compliance ecosystem. You will take a well defined strategic blueprint and turn it into an operational reality - leveraging enterprise platforms, data, process design, organisational change and governance to deliver immediate value while building long term capability. At its core, this transformation connects specifications, data and workflows across functions and geographies, enabled by multiple product centric applications. You will own the strategy and lead the enterprise-wide programme that strengthens consumer safety and compliance, with specification management as the foundation for broader value creation in simplification, portfolio optimisation and product stewardship. This includes direct leadership of global PLM platforms across the end to product lifecycle, and deep collaboration with R&D, Supply, Quality, Regulatory and Data Governance to align systems, data flows and processes. You will represent the business in key governance forums, partnerships and cross functional initiatives - ensuring that Reckitt's PLM and compliance ecosystem becomes a connected, scalable and future ready capability. Your responsibilities Lead the execution and operationalisation of Reckitt's global PLM transformation, delivering against plan and driving enterprise wide adoption. Own the transition from legacy processes to new, standardised ways of working, leading both states until the transformation is fully embedded. Deliver the long term strategy for a connected compliance ecosystem in partnership with IT&D and senior leaders across R&D, Supply, Quality and Regulatory. Build alignment and engagement across global functions through strong stakeholder management and effective governance forums. Partner with IT&D to shape technology roadmaps and business transformation plans that enable the PLM and compliance strategy. Collaborate with Data Governance & Analytics to embed robust data standards, ownership models and lifecycle management across functions. Apply PLM best practice to system design, process architecture and integration across core PLM and the wider connected ecosystem. Drive continuous improvement through innovation, benchmarking and data driven insights, ensuring compliance and consumer safety remain central. Establish clear prioritisation mechanisms with Global Functions and IT&D to focus resources on the highest value initiatives. Own the team budget and contribute to broader functional budget planning, investment decisions and delivery accountability. Lead and develop a global team of 30 functional experts, building capability and driving adoption of new ways of working. Simplify, standardise and connect processes and data flows across the compliance ecosystem and key business operations. The experience we're looking for Deep expertise in Product Lifecycle Management (PLM) technologies and their deployment within large, complex consumer goods, healthcare, or manufacturing organisations. Proven ability to design and execute PLM transformation strategies, moving from concept to full enterprise adoption. Demonstrated track record delivering end to end PLM transformations across innovation, R&D, manufacturing, quality, regulatory and distribution. Strong knowledge of regulatory, quality and compliance requirements within Healthcare and CPG environments. Clear understanding of risk profiles, consumer safety requirements and compliance obligations across the product lifecycle. Broad appreciation of R&D and Manufacturing interdependencies, and how data, specifications and processes must connect to ensure safe, compliant products. Deep experience with data standards, governance frameworks and cross functional data flows in large enterprises. Ability to navigate and simplify complex technical ecosystems, identifying opportunities for long term connection, leverage and simplification. Broad operational understanding of core R&D and Supply functions and how they interact within a global product lifecycle. Advanced change leadership and influencing skills, with experience driving behavioural and process change across diverse stakeholder groups. Strong programme management capability, delivering large scale, multi year transformation programmes. Experience leading large, geographically dispersed teams, both through direct line management and influence. Strong collaborator who builds trust and alignment across cross functional teams and senior stakeholders. Demonstrated leadership grounded in integrity and "doing the right thing," especially in compliance critical environments. Inspires teams with a clear vision and brings people with them through complex change. Communicates complex, technical or politically sensitive issues with clarity and confidence to diverse audiences. Creates and sustains a culture of innovation, continuous improvement and simplification. Genuine passion for digital transformation, value creation and building capabilities that endure. Deep experience in R&D operations, ideally within pharma, healthcare or FMCG. Understanding of CSV requirements. Experience leading global systems development and implementation, ideally including platforms such as Optiva, SSPLM, Oracle or Siemens. Ability to travel as part of the role What we offer With inclusion at the heart of everything we do, working alongside our four global Employee Resource Groups, we support our people at every step of their career journey, helping them to succeed in their own individual way. We invest in the wellbeing of our people through parental benefits, an Employee Assistance Program to promote mental health, and life insurance for all employees globally. We have a range of other benefits in line with the local market. Through our global share plans we offer the opportunity to save and share in Reckitt's potential future successes. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. You will be rewarded in line with Reckitt's pay for performance philosophy. Equality We recognise that in real life, great people don't always 'tick all the boxes'. That's why we hire for potential as well as experience. Even if you don't meet every point on the job description, if this role and our company feels like a good fit for you, we still want to hear from you. All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship and national origin; religion, faith; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law.
Mar 22, 2026
Full time
Global R&D Director, PLM Ecosystems City: Kingston upon Hull We are Reckitt Home to the world's best loved and trusted hygiene, health, and nutrition brands. Our purpose defines why we exist: to protect, heal and nurture in the relentless pursuit of a cleaner, healthier world. We are a global team united by this purpose.Join us in our fight to make access to the highest quality hygiene, wellness, and nourishment a right and not a privilege. Research & Development In Research and Development we're full of highly skilled talents that include Scientists, Engineers, Medical, Clinical and Regulatory professionals - all working to create a cleaner, healthier world. With nine Centres of Excellence, we continually seek out new opportunities by using science, our entrepreneurial flare and our fearless innovation to develop and enhance our existing portfolio, never compromising on quality or performance. We do the right thing, always, by ensuring we act with responsibility and integrity, by complying with regulatory legislation across the globe, whilst ensuring our products are safe for our consumers and are to the highest quality. The size of our organisation means you'll have the opportunity to learn and work in different functions within Research and Development, giving you exposure to different disciplines, teams and environments. You will also have access to our Research and Development Academy, designed to develop our team and allow you to grow in our great organisation. About the role This role provides the business leadership for Reckitt's largest-ever digital transformation: the execution of a next generation Product Lifecycle Management (PLM) and connected compliance ecosystem. You will take a well defined strategic blueprint and turn it into an operational reality - leveraging enterprise platforms, data, process design, organisational change and governance to deliver immediate value while building long term capability. At its core, this transformation connects specifications, data and workflows across functions and geographies, enabled by multiple product centric applications. You will own the strategy and lead the enterprise-wide programme that strengthens consumer safety and compliance, with specification management as the foundation for broader value creation in simplification, portfolio optimisation and product stewardship. This includes direct leadership of global PLM platforms across the end to product lifecycle, and deep collaboration with R&D, Supply, Quality, Regulatory and Data Governance to align systems, data flows and processes. You will represent the business in key governance forums, partnerships and cross functional initiatives - ensuring that Reckitt's PLM and compliance ecosystem becomes a connected, scalable and future ready capability. Your responsibilities Lead the execution and operationalisation of Reckitt's global PLM transformation, delivering against plan and driving enterprise wide adoption. Own the transition from legacy processes to new, standardised ways of working, leading both states until the transformation is fully embedded. Deliver the long term strategy for a connected compliance ecosystem in partnership with IT&D and senior leaders across R&D, Supply, Quality and Regulatory. Build alignment and engagement across global functions through strong stakeholder management and effective governance forums. Partner with IT&D to shape technology roadmaps and business transformation plans that enable the PLM and compliance strategy. Collaborate with Data Governance & Analytics to embed robust data standards, ownership models and lifecycle management across functions. Apply PLM best practice to system design, process architecture and integration across core PLM and the wider connected ecosystem. Drive continuous improvement through innovation, benchmarking and data driven insights, ensuring compliance and consumer safety remain central. Establish clear prioritisation mechanisms with Global Functions and IT&D to focus resources on the highest value initiatives. Own the team budget and contribute to broader functional budget planning, investment decisions and delivery accountability. Lead and develop a global team of 30 functional experts, building capability and driving adoption of new ways of working. Simplify, standardise and connect processes and data flows across the compliance ecosystem and key business operations. The experience we're looking for Deep expertise in Product Lifecycle Management (PLM) technologies and their deployment within large, complex consumer goods, healthcare, or manufacturing organisations. Proven ability to design and execute PLM transformation strategies, moving from concept to full enterprise adoption. Demonstrated track record delivering end to end PLM transformations across innovation, R&D, manufacturing, quality, regulatory and distribution. Strong knowledge of regulatory, quality and compliance requirements within Healthcare and CPG environments. Clear understanding of risk profiles, consumer safety requirements and compliance obligations across the product lifecycle. Broad appreciation of R&D and Manufacturing interdependencies, and how data, specifications and processes must connect to ensure safe, compliant products. Deep experience with data standards, governance frameworks and cross functional data flows in large enterprises. Ability to navigate and simplify complex technical ecosystems, identifying opportunities for long term connection, leverage and simplification. Broad operational understanding of core R&D and Supply functions and how they interact within a global product lifecycle. Advanced change leadership and influencing skills, with experience driving behavioural and process change across diverse stakeholder groups. Strong programme management capability, delivering large scale, multi year transformation programmes. Experience leading large, geographically dispersed teams, both through direct line management and influence. Strong collaborator who builds trust and alignment across cross functional teams and senior stakeholders. Demonstrated leadership grounded in integrity and "doing the right thing," especially in compliance critical environments. Inspires teams with a clear vision and brings people with them through complex change. Communicates complex, technical or politically sensitive issues with clarity and confidence to diverse audiences. Creates and sustains a culture of innovation, continuous improvement and simplification. Genuine passion for digital transformation, value creation and building capabilities that endure. Deep experience in R&D operations, ideally within pharma, healthcare or FMCG. Understanding of CSV requirements. Experience leading global systems development and implementation, ideally including platforms such as Optiva, SSPLM, Oracle or Siemens. Ability to travel as part of the role What we offer With inclusion at the heart of everything we do, working alongside our four global Employee Resource Groups, we support our people at every step of their career journey, helping them to succeed in their own individual way. We invest in the wellbeing of our people through parental benefits, an Employee Assistance Program to promote mental health, and life insurance for all employees globally. We have a range of other benefits in line with the local market. Through our global share plans we offer the opportunity to save and share in Reckitt's potential future successes. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. You will be rewarded in line with Reckitt's pay for performance philosophy. Equality We recognise that in real life, great people don't always 'tick all the boxes'. That's why we hire for potential as well as experience. Even if you don't meet every point on the job description, if this role and our company feels like a good fit for you, we still want to hear from you. All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship and national origin; religion, faith; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law.
Senior Research Scientist - Recruiting on Behalf of TKMS ATLAS UK Morson is proud to be recruiting on behalf of TKMS ATLAS UK for a Senior Scientific Research professional to join their Research and Innovation Division in Dorset. This role requires the successful candidate to hold DV clearance (or be eligible to obtain it) and to work onsite 4 days per week click apply for full job details
Mar 20, 2026
Full time
Senior Research Scientist - Recruiting on Behalf of TKMS ATLAS UK Morson is proud to be recruiting on behalf of TKMS ATLAS UK for a Senior Scientific Research professional to join their Research and Innovation Division in Dorset. This role requires the successful candidate to hold DV clearance (or be eligible to obtain it) and to work onsite 4 days per week click apply for full job details
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. 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 Are you passionate about developing socially and ethically responsible AI systems? Are you excited by the prospect of supporting projects that apply cutting-edge AI and GenAI models to solve real-world problems? Imagine working with BCG 's Responsible AI team, where you will develop and apply innovative tools for testing and evaluating new GenAI products. Your daily work would involve designing and implementing testing and evaluation frameworks to help improve product quality and ensure AI systems are safe, secure, and equitable . Join a team dedicated to exploring creative solutions and pioneering advancements in Responsible AI. Your work will influence the development of GenAI applications, focusing on transparency, accountability, and trustworthiness. On the team, you'll collaborate with brilliant minds and make a tangible impact on shaping the future of AI, ensuring it meets the highest standards for responsibility and effectiveness. You will have the opportunity to support a wide variety of projects, spanning use cases, technologies, industries, and clients. Embrace the challenge of working at the intersection of cutting-edge technology, ethical innovation, and real-world applications. The Responsible AI Applied Scientist plays a critical role supporting BCG 's testing and evaluation efforts, working in conjunction with our AI and GenAI product teams to ensure alignment with our Responsible AI policy, principles, and standards, and to support the design, continuous improvement, and execution of the overall Responsible AI program at BCG. The Responsible AI Applied Sci entist will work with a diverse set of stakeholders to: Ensure responsible development of GenAI and AI products by providing Responsible AI expert support to GenAI and AI product teams, including conducting independent assessment of product -level risks and owning product evaluations Engage indep endently and directly with BCG product teams to sup port Responsible AI-related nee ds across the entire software development lifecycle of GenAI or AI product s Work with and support technical teams executing risk assessment and testing and evaluation o f GenAI and AI products Train and mentor technical teams on testing and evaluation approaches for GenAI products Remain up - to - date on emerging frameworks, standards, and technical approaches, and related issues , by participating in workshops, reading professional publications, maintaining personal networks, and participating in professional organizations What You'll Bring 3-5+ years of experience in Responsible AI, including directly engaging with AI product teams 3+ years of industry experience in building or evaluating Generative AI models Experience in program/project management and team leadership Strong programming skills in Python and deep learning frameworks ( PyTorch , TensorFlow) Demonstrable knowledge of Responsible AI issues, trends, frameworks, and best practices Working knowledge of emerging AI regulatory and legal frameworks across the globe Excellent written and verbal communication skills across technical and non-technical audiences Ability to explain sophisticated data science concepts to non-technical audiences and translate analytical results into business implications Ability to think critically about ethical, social, and business risks posed by GenAI and AI systems Passion for building things and comfort working with modern data science development tools Experience designing and analyzing experiments using advanced statistical methods Experience and enthusiasm for working with Ge n AI technologies Technical Skills Must - have experience: Advanced degree (MS or PhD) in Computer Science, Software Engineering, or equivalent research/work experience Strong research background in empirical evaluation, experimental design, or benchmarking Deep familiarity with software engineering workflows and developer tools Experience working with or evaluating AI/ML models, preferably LLMs Strong analytical and communication skills, including the ability to write clear testing result reports Nice - to - have experience: Experience with quantitative social science research Familiarity with software engineering practices (e.g., unit testing, CI/CD ) Exposure to cloud platforms (AWS, Azure, GCP) or SQL databases Knowledge of AI risk management frameworks (e.g., NIST AI RMF) Experience with d eveloper tools , including IDEs (e.g., VSCode , Pycharm ) and environment management (e.g., P yenv , C onda , P oetry , D ocker) Demonstrable contribution to open-source evaluations of GenAI Who You'll Work With You'll work in a fast-paced, intellectually challenging, product-oriented environment where we advance our thinking about and operationalization of Responsible AI. You'll engage with a diverse set of stakeholders, including senior executives, A I and G enAI product teams , legal, compliance, and security teams, BCG's Chief AI Ethics Officer, the Director of the Responsible AI team, and other members of the Responsible AI team. 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.
Mar 20, 2026
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. 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 Are you passionate about developing socially and ethically responsible AI systems? Are you excited by the prospect of supporting projects that apply cutting-edge AI and GenAI models to solve real-world problems? Imagine working with BCG 's Responsible AI team, where you will develop and apply innovative tools for testing and evaluating new GenAI products. Your daily work would involve designing and implementing testing and evaluation frameworks to help improve product quality and ensure AI systems are safe, secure, and equitable . Join a team dedicated to exploring creative solutions and pioneering advancements in Responsible AI. Your work will influence the development of GenAI applications, focusing on transparency, accountability, and trustworthiness. On the team, you'll collaborate with brilliant minds and make a tangible impact on shaping the future of AI, ensuring it meets the highest standards for responsibility and effectiveness. You will have the opportunity to support a wide variety of projects, spanning use cases, technologies, industries, and clients. Embrace the challenge of working at the intersection of cutting-edge technology, ethical innovation, and real-world applications. The Responsible AI Applied Scientist plays a critical role supporting BCG 's testing and evaluation efforts, working in conjunction with our AI and GenAI product teams to ensure alignment with our Responsible AI policy, principles, and standards, and to support the design, continuous improvement, and execution of the overall Responsible AI program at BCG. The Responsible AI Applied Sci entist will work with a diverse set of stakeholders to: Ensure responsible development of GenAI and AI products by providing Responsible AI expert support to GenAI and AI product teams, including conducting independent assessment of product -level risks and owning product evaluations Engage indep endently and directly with BCG product teams to sup port Responsible AI-related nee ds across the entire software development lifecycle of GenAI or AI product s Work with and support technical teams executing risk assessment and testing and evaluation o f GenAI and AI products Train and mentor technical teams on testing and evaluation approaches for GenAI products Remain up - to - date on emerging frameworks, standards, and technical approaches, and related issues , by participating in workshops, reading professional publications, maintaining personal networks, and participating in professional organizations What You'll Bring 3-5+ years of experience in Responsible AI, including directly engaging with AI product teams 3+ years of industry experience in building or evaluating Generative AI models Experience in program/project management and team leadership Strong programming skills in Python and deep learning frameworks ( PyTorch , TensorFlow) Demonstrable knowledge of Responsible AI issues, trends, frameworks, and best practices Working knowledge of emerging AI regulatory and legal frameworks across the globe Excellent written and verbal communication skills across technical and non-technical audiences Ability to explain sophisticated data science concepts to non-technical audiences and translate analytical results into business implications Ability to think critically about ethical, social, and business risks posed by GenAI and AI systems Passion for building things and comfort working with modern data science development tools Experience designing and analyzing experiments using advanced statistical methods Experience and enthusiasm for working with Ge n AI technologies Technical Skills Must - have experience: Advanced degree (MS or PhD) in Computer Science, Software Engineering, or equivalent research/work experience Strong research background in empirical evaluation, experimental design, or benchmarking Deep familiarity with software engineering workflows and developer tools Experience working with or evaluating AI/ML models, preferably LLMs Strong analytical and communication skills, including the ability to write clear testing result reports Nice - to - have experience: Experience with quantitative social science research Familiarity with software engineering practices (e.g., unit testing, CI/CD ) Exposure to cloud platforms (AWS, Azure, GCP) or SQL databases Knowledge of AI risk management frameworks (e.g., NIST AI RMF) Experience with d eveloper tools , including IDEs (e.g., VSCode , Pycharm ) and environment management (e.g., P yenv , C onda , P oetry , D ocker) Demonstrable contribution to open-source evaluations of GenAI Who You'll Work With You'll work in a fast-paced, intellectually challenging, product-oriented environment where we advance our thinking about and operationalization of Responsible AI. You'll engage with a diverse set of stakeholders, including senior executives, A I and G enAI product teams , legal, compliance, and security teams, BCG's Chief AI Ethics Officer, the Director of the Responsible AI team, and other members of the Responsible AI team. 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.
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full time position in our Kidlington and Harwell offices. Our flexible working policy enables all full time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Senior Cloud Backend Software Engineer to design and build scalable backend services that power both internal platform infrastructure and externally facing systems for our quantum technologies. This role focuses on developing cloud native microservice architectures, distributed APIs, and reliable backend systems that support experiment orchestration, data pipelines, device control workflows, and internal developer platforms. You will build and operate services that form the backbone of our quantum software platform, enabling scientists, engineers, and external users to interact with quantum hardware and experimentation workflows through robust, scalable infrastructure. The ideal candidate is comfortable building API driven services, asynchronous systems, and scalable data infrastructure deployed in containerised and orchestrated cloud environments. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and operate cloud native backend services and microservice architectures supporting both internal engineering platforms and externally accessible APIs. Build Python based backend systems using modern frameworks such as FastAPI and SQLAlchemy to implement scalable, maintainable services. Architect and implement distributed systems that support experiment orchestration, telemetry collection, data ingestion, and device interaction workflows. Design backend systems with strong focus on reliability, scalability, observability, and fault tolerance, including monitoring, logging, tracing, and graceful degradation. Deploy and operate services using Docker containers, local development environments with Docker Compose, and production orchestration using Kubernetes. Collaborate with interdisciplinary teams including physicists, hardware engineers, and research scientists to translate experimental workflows into scalable software systems. Mentor junior engineers and promote best practices in backend architecture, distributed systems design, reliability engineering, and software development. Lead architecture discussions, design reviews, and code reviews to maintain high engineering standards and system maintainability. Contribute to platform reliability and operational excellence, diagnosing production issues, improving system performance, and strengthening infrastructure resilience. Bachelor's degree in Computer Science, Engineering, Applied Mathematics, Physics, or related field with 3+ years of professional software engineering experience. Strong experience developing backend systems in Python, particularly using modern frameworks such as FastAPI, SQLAlchemy, or similar tools. Experience designing and implementing and deploying distributed systems or microservice architectures, using tools including Docker, Docker Compose & Kubernetes. Experience designing systems for reliability, scalability, and operational robustness and using CI/CD pipelines, automated testing infrastructure, and deployment automation. Strong understanding of software engineering best practices, including testing, version control, debugging, observability, documentation, and maintainability. Strong communication and collaboration skills, with the ability to work effectively across interdisciplinary teams. Desirable Skills or Knowledge Experience building distributed systems in cloud environments (AWS, GCP, Azure, or similar). Experience with message queues and event driven architectures (e.g., Kafka, RabbitMQ, NATS, or similar). Experience with database systems and data infrastructure, including relational databases, time series databases, and large scale data pipelines. Experience building Python packages with native extensions (Rust/C/C++). EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. In addition to your base compensation, we offer a generous Total Rewards program which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
Mar 20, 2026
Full time
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full time position in our Kidlington and Harwell offices. Our flexible working policy enables all full time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Senior Cloud Backend Software Engineer to design and build scalable backend services that power both internal platform infrastructure and externally facing systems for our quantum technologies. This role focuses on developing cloud native microservice architectures, distributed APIs, and reliable backend systems that support experiment orchestration, data pipelines, device control workflows, and internal developer platforms. You will build and operate services that form the backbone of our quantum software platform, enabling scientists, engineers, and external users to interact with quantum hardware and experimentation workflows through robust, scalable infrastructure. The ideal candidate is comfortable building API driven services, asynchronous systems, and scalable data infrastructure deployed in containerised and orchestrated cloud environments. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and operate cloud native backend services and microservice architectures supporting both internal engineering platforms and externally accessible APIs. Build Python based backend systems using modern frameworks such as FastAPI and SQLAlchemy to implement scalable, maintainable services. Architect and implement distributed systems that support experiment orchestration, telemetry collection, data ingestion, and device interaction workflows. Design backend systems with strong focus on reliability, scalability, observability, and fault tolerance, including monitoring, logging, tracing, and graceful degradation. Deploy and operate services using Docker containers, local development environments with Docker Compose, and production orchestration using Kubernetes. Collaborate with interdisciplinary teams including physicists, hardware engineers, and research scientists to translate experimental workflows into scalable software systems. Mentor junior engineers and promote best practices in backend architecture, distributed systems design, reliability engineering, and software development. Lead architecture discussions, design reviews, and code reviews to maintain high engineering standards and system maintainability. Contribute to platform reliability and operational excellence, diagnosing production issues, improving system performance, and strengthening infrastructure resilience. Bachelor's degree in Computer Science, Engineering, Applied Mathematics, Physics, or related field with 3+ years of professional software engineering experience. Strong experience developing backend systems in Python, particularly using modern frameworks such as FastAPI, SQLAlchemy, or similar tools. Experience designing and implementing and deploying distributed systems or microservice architectures, using tools including Docker, Docker Compose & Kubernetes. Experience designing systems for reliability, scalability, and operational robustness and using CI/CD pipelines, automated testing infrastructure, and deployment automation. Strong understanding of software engineering best practices, including testing, version control, debugging, observability, documentation, and maintainability. Strong communication and collaboration skills, with the ability to work effectively across interdisciplinary teams. Desirable Skills or Knowledge Experience building distributed systems in cloud environments (AWS, GCP, Azure, or similar). Experience with message queues and event driven architectures (e.g., Kafka, RabbitMQ, NATS, or similar). Experience with database systems and data infrastructure, including relational databases, time series databases, and large scale data pipelines. Experience building Python packages with native extensions (Rust/C/C++). EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. In addition to your base compensation, we offer a generous Total Rewards program which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
Title: Director of Data Science, AI & Research Reporting To: Chief Executive Officer Location: Hybrid, working from home and our office based in West London Salary: £95,000 - £100,000 per annum, dependant on experience We aim to be transparent about remuneration at MHI. As a charitable organisation, salaries for this role are predetermined and not negotiable. Please consider the advertised salary before applying. Hours of Work: 40 hours per week, inclusive of a daily 1 hour paid lunch break Contract: Permanent Benefits: 25 days annual leave per year, plus public holidays; Company electronic devices; Enhanced salary sacrifice pension scheme; Private health insurance after completion of probation; Eligibility for a Blue Light discount card Closing Date: 2nd April 2026. We will be interviewing on a rolling basis and reserve the right to close the job advert early if we receive a high number of applicants Job Purpose The Director of Data Science, AI and Research leads our outstanding Data Insights Team which has expertise across data engineering, analytics, data science, machine learning, generative AI, and psychology, and works to provide insights which enhance our services and which we share with others in the sector, policy makers and politicians, service users and the general public. The Director of Data Science, AI and Research works directly with the CEO and plays a central role in leading the strategy and development of the organisation, and is responsible for key external relationships across government, the mental health sector, funders, and researchers. Key Responsibilities Developing and leading MHI's long-term data insights strategy, including developing and managing external data insights partnerships with academic researchers (e.g., IGHI at Imperial College London), government (e.g., Department of Health and Social Care), and other stakeholders in the sector (e.g., CTL, and other mental health charities), and policy makers. Member of the Senior Management Team, contributing to development and delivery of organisational strategy, and acting as MHI spokesperson/representative where relevant. Leading many of MHI s key external relationships, including those with key supporters and funders such as The Jensen and Lori Huang Family Foundation, Google, the Wellcome Trust, and AWS. Recruiting, retaining, and managing members of the Data Insights Team Analysis and reporting of service data and data insights, to support decision making within MHI, to help develop new products, and for external use (e.g., media, funders, keyword partners). Writing funding applications to support the data insights work, and managing relationships with funders including annual reporting and updates. Managing relationships with external contractors who support the Data Insights Team (e.g., AWS, AWS suppliers, AI and data engineering support). Person Specification Essential Strong experience with recruiting, retaining, and managing data professionals / scientists. Experience with developing data and organisational strategy at a senior level. Deep understanding of data analytics, data science, AI and machine learning, and qualitative approaches. Experience engaging with a broad range of senior internal and external stakeholders. Demonstrable knowledge and experience in mental health / psychology / neuroscience. Excellent attention to detail, rigour, and thoroughness. This role is subject to eligibility to work in the UK, plus satisfactory background and reference checks. We understand that AI is increasingly part of everyday life, and you might choose to use it when putting together your application. While AI can be a helpful tool, we ask that anything you submit reflects your own skills, experiences, and perspective. We value authenticity and integrity, and we want to see what you uniquely bring to our team and why our mission resonates with you personally.
Mar 20, 2026
Full time
Title: Director of Data Science, AI & Research Reporting To: Chief Executive Officer Location: Hybrid, working from home and our office based in West London Salary: £95,000 - £100,000 per annum, dependant on experience We aim to be transparent about remuneration at MHI. As a charitable organisation, salaries for this role are predetermined and not negotiable. Please consider the advertised salary before applying. Hours of Work: 40 hours per week, inclusive of a daily 1 hour paid lunch break Contract: Permanent Benefits: 25 days annual leave per year, plus public holidays; Company electronic devices; Enhanced salary sacrifice pension scheme; Private health insurance after completion of probation; Eligibility for a Blue Light discount card Closing Date: 2nd April 2026. We will be interviewing on a rolling basis and reserve the right to close the job advert early if we receive a high number of applicants Job Purpose The Director of Data Science, AI and Research leads our outstanding Data Insights Team which has expertise across data engineering, analytics, data science, machine learning, generative AI, and psychology, and works to provide insights which enhance our services and which we share with others in the sector, policy makers and politicians, service users and the general public. The Director of Data Science, AI and Research works directly with the CEO and plays a central role in leading the strategy and development of the organisation, and is responsible for key external relationships across government, the mental health sector, funders, and researchers. Key Responsibilities Developing and leading MHI's long-term data insights strategy, including developing and managing external data insights partnerships with academic researchers (e.g., IGHI at Imperial College London), government (e.g., Department of Health and Social Care), and other stakeholders in the sector (e.g., CTL, and other mental health charities), and policy makers. Member of the Senior Management Team, contributing to development and delivery of organisational strategy, and acting as MHI spokesperson/representative where relevant. Leading many of MHI s key external relationships, including those with key supporters and funders such as The Jensen and Lori Huang Family Foundation, Google, the Wellcome Trust, and AWS. Recruiting, retaining, and managing members of the Data Insights Team Analysis and reporting of service data and data insights, to support decision making within MHI, to help develop new products, and for external use (e.g., media, funders, keyword partners). Writing funding applications to support the data insights work, and managing relationships with funders including annual reporting and updates. Managing relationships with external contractors who support the Data Insights Team (e.g., AWS, AWS suppliers, AI and data engineering support). Person Specification Essential Strong experience with recruiting, retaining, and managing data professionals / scientists. Experience with developing data and organisational strategy at a senior level. Deep understanding of data analytics, data science, AI and machine learning, and qualitative approaches. Experience engaging with a broad range of senior internal and external stakeholders. Demonstrable knowledge and experience in mental health / psychology / neuroscience. Excellent attention to detail, rigour, and thoroughness. This role is subject to eligibility to work in the UK, plus satisfactory background and reference checks. We understand that AI is increasingly part of everyday life, and you might choose to use it when putting together your application. While AI can be a helpful tool, we ask that anything you submit reflects your own skills, experiences, and perspective. We value authenticity and integrity, and we want to see what you uniquely bring to our team and why our mission resonates with you personally.
Senior Optimisation Data Scientist London, Hybrid Inside IR35 This is a contract opportunity to deliver high impact optimisation solutions within a major operational environment. You will work on complex, real world logistical and resource planning challenges where your models will be used directly in live decision making. The Company They are a large international organisation with extensive operational networks across multiple business units. Their central AI and Data Science function is growing and plays a key role in solving high value optimisation problems. The team partners closely with operational stakeholders to develop practical solutions that improve efficiency and reduce disruption across the organisation. The Role and Deliverables Build production ready optimisation or simulation models in Python. Take ownership of operational optimisation problems from framing through to delivery. Translate stakeholder requirements into structured optimisation approaches. Develop solutions focused on logistics planning, supply chain optimisation and resource allocation. Collaborate closely with operational teams to refine constraints and validate outputs. Provide clear technical recommendations to support decision making. Your Skills and Experience Strong experience delivering optimisation or simulation solutions in production environments. Solid background in operations research or mathematical optimisation. Experience working on logistics, supply chain or resource allocation problems. Ability to convert business problems into practical optimisation models. Advanced Python modelling skills. Confident engaging with operational stakeholders. How to Apply If this contract sounds like a strong fit, submit your details to discuss the project further.
Mar 19, 2026
Contractor
Senior Optimisation Data Scientist London, Hybrid Inside IR35 This is a contract opportunity to deliver high impact optimisation solutions within a major operational environment. You will work on complex, real world logistical and resource planning challenges where your models will be used directly in live decision making. The Company They are a large international organisation with extensive operational networks across multiple business units. Their central AI and Data Science function is growing and plays a key role in solving high value optimisation problems. The team partners closely with operational stakeholders to develop practical solutions that improve efficiency and reduce disruption across the organisation. The Role and Deliverables Build production ready optimisation or simulation models in Python. Take ownership of operational optimisation problems from framing through to delivery. Translate stakeholder requirements into structured optimisation approaches. Develop solutions focused on logistics planning, supply chain optimisation and resource allocation. Collaborate closely with operational teams to refine constraints and validate outputs. Provide clear technical recommendations to support decision making. Your Skills and Experience Strong experience delivering optimisation or simulation solutions in production environments. Solid background in operations research or mathematical optimisation. Experience working on logistics, supply chain or resource allocation problems. Ability to convert business problems into practical optimisation models. Advanced Python modelling skills. Confident engaging with operational stakeholders. How to Apply If this contract sounds like a strong fit, submit your details to discuss the project further.
Summer Intern - Trainee Patent Attorney STEM Discipline: Mechanical Engineering / Electrical and Electronic Engineering Location: Bath Duration: 2 week full time internship Timing: 29th June for 2 weeks Paid Opportunity EIP is pleased to offer a two week Summer Internship for individuals interested in gaining first hand insight into the work of a patent attorney. This programme provides a valuable opportunity to explore what a career in patent law involves and to help you assess whether it's the right path for you. Interns who perform strongly during the programme may also be considered for a permanent Patent Scientist / Trainee Patent Attorney position for the following September. What To Expect As an Intern at EIP, you will: Take part in induction sessions introducing you to the firm Attend training sessions covering topics such as the basics of patent protection, the role of a patent attorney, life as a trainee, and key IP rights and laws, and then shadow your mentor and support them with tasks designed to give you a realistic insight into patent attorney work You will be assigned both a mentor (typically a patent scientist, associate, or senior associate) and a supervisor (usually a partner), each aligned with your technical background and interests. This ensures tailored guidance and meaningful exposure throughout your time with us. Who We're Looking For We welcome applications from individuals who are curious about intellectual property and enthusiastic about exploring a career in patents. Successful candidates will be currently in the penultimate year of a bachelor's degree, master's degree or PhD in Mechanical Engineering / Electrical and Electronic Engineering and demonstrate: Professional and personable approach Excellent written and verbal communication skills Confidence working with people at all levels Ability to work under pressure Strong research and presentation skills Self motivation and effective workload management Meticulous attention to detail and strong analytical ability Initiative and the ability to work independently Who We Are EIP is an award winning firm specialising in high value and complex patent matters, with offices across Europe and the US. Our multidisciplinary team brings together patent attorneys, litigators, and commercial IP lawyers across major patent markets including the UK, Europe, and the USA. We work with a diverse and growing client base-from major multinationals to innovative scale ups and cutting edge start ups-helping them protect and maximise the value of their intellectual property.
Mar 18, 2026
Full time
Summer Intern - Trainee Patent Attorney STEM Discipline: Mechanical Engineering / Electrical and Electronic Engineering Location: Bath Duration: 2 week full time internship Timing: 29th June for 2 weeks Paid Opportunity EIP is pleased to offer a two week Summer Internship for individuals interested in gaining first hand insight into the work of a patent attorney. This programme provides a valuable opportunity to explore what a career in patent law involves and to help you assess whether it's the right path for you. Interns who perform strongly during the programme may also be considered for a permanent Patent Scientist / Trainee Patent Attorney position for the following September. What To Expect As an Intern at EIP, you will: Take part in induction sessions introducing you to the firm Attend training sessions covering topics such as the basics of patent protection, the role of a patent attorney, life as a trainee, and key IP rights and laws, and then shadow your mentor and support them with tasks designed to give you a realistic insight into patent attorney work You will be assigned both a mentor (typically a patent scientist, associate, or senior associate) and a supervisor (usually a partner), each aligned with your technical background and interests. This ensures tailored guidance and meaningful exposure throughout your time with us. Who We're Looking For We welcome applications from individuals who are curious about intellectual property and enthusiastic about exploring a career in patents. Successful candidates will be currently in the penultimate year of a bachelor's degree, master's degree or PhD in Mechanical Engineering / Electrical and Electronic Engineering and demonstrate: Professional and personable approach Excellent written and verbal communication skills Confidence working with people at all levels Ability to work under pressure Strong research and presentation skills Self motivation and effective workload management Meticulous attention to detail and strong analytical ability Initiative and the ability to work independently Who We Are EIP is an award winning firm specialising in high value and complex patent matters, with offices across Europe and the US. Our multidisciplinary team brings together patent attorneys, litigators, and commercial IP lawyers across major patent markets including the UK, Europe, and the USA. We work with a diverse and growing client base-from major multinationals to innovative scale ups and cutting edge start ups-helping them protect and maximise the value of their intellectual property.
About Echobox: We are a fast-growing, research-driven company building an artificial intelligence that helps online publishers overcome the challenges they face every day. Using novel AI, we are revolutionising the publishing industry and have a track record of building things that others have ruled out as impossible. Leading names from around the world rely on our product every day, including The Times, Le Monde, The Guardian, Vogue and many more. About the Role: You will work closely with our Product team and Data Scientists to define and execute on the future path for our products. Key Responsibilities: Work closely with senior engineers to design, build, and maintain back-end services and systems that support our AI-powered products, all whilst meeting launch deadlines. Assist in the development and optimization of scalable, high-performance systems to support large volumes of data and machine learning models. Write clean, efficient, and maintainable code while following best practices and coding standards. Contribute to the deployment and integration of back-end services, ensuring that they work seamlessly with front-end and data science systems. Help improve the architecture and functionality of our back-end systems, focusing on performance, reliability, and scalability. Assist with debugging and troubleshooting technical issues, providing solutions to enhance system performance. Collaborate with cross-functional teams to identify system needs and contribute to continuous improvements. Continuously learn and apply new technologies and techniques to improve back-end infrastructure and processes. Requirements: A degree in Computer Science, Engineering, or a related field (or equivalent practical experience). 3-5 years of experience in back-end development or related field, with a focus on server-side technologies. Strong knowledge of programming languages such as Python, Java, or Node.js, and experience with back-end frameworks. Familiarity with databases (SQL and NoSQL) and experience in building and optimizing data storage solutions. Understanding of RESTful APIs, microservices architecture, and best practices for back-end development. Familiarity with version control systems such as Git. Experience working with cloud platforms (AWS, GCP, or Azure) and deploying applications in a cloud environment. A passion for solving problems with technology and working to deliver efficient, scalable solutions. A proactive, results-driven mindset with the ability to work independently and learn quickly. Preferred Requirements: Experience in a fast-paced SaaS or tech environment, focusing on building and scaling back-end systems. Understanding of security best practices for back-end development. Knowledge of machine learning concepts and the ability to collaborate with data scientists to optimize AI models. Strong communication skills and the ability to work effectively within cross-functional teams. Benefits: Our employees enjoy free breakfast every day, coffee, drinks and snacks all day, everyday. Every Monday, Wednesday and Friday, we order food for our weekly team lunches where everyone gets together for an hour of fun. We have regular team events (dinner, bowling, karting, poker nights, board-games etc.) for our team to get to know each other outside of work. Professionally, we host in-house conferences and an annual summer camp for all our global employees who are flown to and hosted in London. We ensure that all our employees also get pension contributions, the latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill.
Mar 18, 2026
Full time
About Echobox: We are a fast-growing, research-driven company building an artificial intelligence that helps online publishers overcome the challenges they face every day. Using novel AI, we are revolutionising the publishing industry and have a track record of building things that others have ruled out as impossible. Leading names from around the world rely on our product every day, including The Times, Le Monde, The Guardian, Vogue and many more. About the Role: You will work closely with our Product team and Data Scientists to define and execute on the future path for our products. Key Responsibilities: Work closely with senior engineers to design, build, and maintain back-end services and systems that support our AI-powered products, all whilst meeting launch deadlines. Assist in the development and optimization of scalable, high-performance systems to support large volumes of data and machine learning models. Write clean, efficient, and maintainable code while following best practices and coding standards. Contribute to the deployment and integration of back-end services, ensuring that they work seamlessly with front-end and data science systems. Help improve the architecture and functionality of our back-end systems, focusing on performance, reliability, and scalability. Assist with debugging and troubleshooting technical issues, providing solutions to enhance system performance. Collaborate with cross-functional teams to identify system needs and contribute to continuous improvements. Continuously learn and apply new technologies and techniques to improve back-end infrastructure and processes. Requirements: A degree in Computer Science, Engineering, or a related field (or equivalent practical experience). 3-5 years of experience in back-end development or related field, with a focus on server-side technologies. Strong knowledge of programming languages such as Python, Java, or Node.js, and experience with back-end frameworks. Familiarity with databases (SQL and NoSQL) and experience in building and optimizing data storage solutions. Understanding of RESTful APIs, microservices architecture, and best practices for back-end development. Familiarity with version control systems such as Git. Experience working with cloud platforms (AWS, GCP, or Azure) and deploying applications in a cloud environment. A passion for solving problems with technology and working to deliver efficient, scalable solutions. A proactive, results-driven mindset with the ability to work independently and learn quickly. Preferred Requirements: Experience in a fast-paced SaaS or tech environment, focusing on building and scaling back-end systems. Understanding of security best practices for back-end development. Knowledge of machine learning concepts and the ability to collaborate with data scientists to optimize AI models. Strong communication skills and the ability to work effectively within cross-functional teams. Benefits: Our employees enjoy free breakfast every day, coffee, drinks and snacks all day, everyday. Every Monday, Wednesday and Friday, we order food for our weekly team lunches where everyone gets together for an hour of fun. We have regular team events (dinner, bowling, karting, poker nights, board-games etc.) for our team to get to know each other outside of work. Professionally, we host in-house conferences and an annual summer camp for all our global employees who are flown to and hosted in London. We ensure that all our employees also get pension contributions, the latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill.
Meet the Team The post-pandemic years have exposed inherent biases and limitations in human-driven and statistical/Traditional ML-based forecasting approaches. Cisco wasn't immune and saw a sharp increase in backlogs, inventory levels, and supply chain costs. The Forecasting Data Science Team within Global Planning is solving this by pioneering the application of Causal AI to revolutionise Demand Forecasting and its Enterprise impact. We're working to provide breakthrough levels of regime-resilient forecast accuracy, efficiency, and prescriptive insights that enable decision makers across Cisco and its Supply Chain to plan effectively. We are a bright, engaged, and friendly global team working with an industry-leading Causal AI ecosystem. Gartner has ranked Cisco's Supply Chain to be or in the world over the last 5 years, and recognised this team in their Power of Profession 2024 Supply Chain awards as one of the top 5 in the Process and Technology Innovation category. Your Impact You will bring your skills, experience, and innovation to play a significant role in shaping our Causal AI-based forecasting system to improve decision making and drive operational performance and efficiency across Cisco's Enterprise and Supply Chain functions. You Will Develop, evolve, and sustain key elements of the Causal-AI based Forecasting system for Aggregated Demand. Analyse and sharpen the causal consideration of global financial markets, macro-economics, micro-economic and competitive factors in the Demand Forecasting models. Engineer model features from broad internal and external structured and unstructured datasets, discover and enhance the natural segmentation for Demand based on these factors, determine causality of the factors, and incorporate them into structural causal models. Develop high-quality, accurate models that are robust and have a long shelf life. Solve challenging research problems that push the boundaries of structural causal modelling and scale to Enterprise and Supply Chain business applications. Work closely with business leads and experts in Global Planning, other Supply Chain functions, Finance, and other Cisco organisations to understand relationships and patterns driving Cisco demand. Develop and evolve reliable approaches for uncertainty quantification to enable scenario/range forecasts Research and develop new methods to reconcile between forecasts at multiple product hierarchy levels, multiple time horizons, and different forecasting approaches. Leverage and incorporate appropriate machine learning approaches including customisation of recently published research as needed to build better Causal AI solutions. Provide technical direction and mentoring to junior data scientists and data engineers in the team, helping shape the skillsets and values of the next generation of Cisco data scientists. Minimum Qualifications 6+ years of Advanced Analytics experience with a Masters Degree or 4+ years with a PhD in a Mathematics or Applied Mathematics, Operations Research, Economics, Econometrics, Physics, Computer Science, Engineering, or related quantitative field. Strong foundation in AI and machine learning, with a theoretical and practical understanding of Causal machine learning approaches. Expertise in Python, with advanced data analysis and data engineering skills, including using SQL, experience git version control. Demonstrated structured wrangling and mining skills from data, and problem-solving skills using machine learning, including in real-time hackathon-like settings. Excellent communication and storytelling skills with an ability to unpack complex problems, and articulate AI/ML approaches, solutions, and results for non-technical audiences. Preferred Qualifications Experience with global financial markets, macro-economics, micro-economics, econometrics, and financial datasets. Substantial experience using Causal AI and Structured Causal Models in time series settings. Substantial experience in time series forecasting for demand use cases and/or other complex or dynamic domains like marketing/pricing A practical and effective approach to problem-solving using AI/ML and a knack for envisioning, translating business requirements into analytics requirements, and realising feasible data science solutions. Demonstrated team leadership, project management, and business stakeholder influencing skills Experience mentoring team members to improve their own technical and project management skills. where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Our passion is connection-we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best. We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer-80 hours each year-allows us to give back to causes we are passionate about, and nearly 86% do! Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us! Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you.
Mar 17, 2026
Full time
Meet the Team The post-pandemic years have exposed inherent biases and limitations in human-driven and statistical/Traditional ML-based forecasting approaches. Cisco wasn't immune and saw a sharp increase in backlogs, inventory levels, and supply chain costs. The Forecasting Data Science Team within Global Planning is solving this by pioneering the application of Causal AI to revolutionise Demand Forecasting and its Enterprise impact. We're working to provide breakthrough levels of regime-resilient forecast accuracy, efficiency, and prescriptive insights that enable decision makers across Cisco and its Supply Chain to plan effectively. We are a bright, engaged, and friendly global team working with an industry-leading Causal AI ecosystem. Gartner has ranked Cisco's Supply Chain to be or in the world over the last 5 years, and recognised this team in their Power of Profession 2024 Supply Chain awards as one of the top 5 in the Process and Technology Innovation category. Your Impact You will bring your skills, experience, and innovation to play a significant role in shaping our Causal AI-based forecasting system to improve decision making and drive operational performance and efficiency across Cisco's Enterprise and Supply Chain functions. You Will Develop, evolve, and sustain key elements of the Causal-AI based Forecasting system for Aggregated Demand. Analyse and sharpen the causal consideration of global financial markets, macro-economics, micro-economic and competitive factors in the Demand Forecasting models. Engineer model features from broad internal and external structured and unstructured datasets, discover and enhance the natural segmentation for Demand based on these factors, determine causality of the factors, and incorporate them into structural causal models. Develop high-quality, accurate models that are robust and have a long shelf life. Solve challenging research problems that push the boundaries of structural causal modelling and scale to Enterprise and Supply Chain business applications. Work closely with business leads and experts in Global Planning, other Supply Chain functions, Finance, and other Cisco organisations to understand relationships and patterns driving Cisco demand. Develop and evolve reliable approaches for uncertainty quantification to enable scenario/range forecasts Research and develop new methods to reconcile between forecasts at multiple product hierarchy levels, multiple time horizons, and different forecasting approaches. Leverage and incorporate appropriate machine learning approaches including customisation of recently published research as needed to build better Causal AI solutions. Provide technical direction and mentoring to junior data scientists and data engineers in the team, helping shape the skillsets and values of the next generation of Cisco data scientists. Minimum Qualifications 6+ years of Advanced Analytics experience with a Masters Degree or 4+ years with a PhD in a Mathematics or Applied Mathematics, Operations Research, Economics, Econometrics, Physics, Computer Science, Engineering, or related quantitative field. Strong foundation in AI and machine learning, with a theoretical and practical understanding of Causal machine learning approaches. Expertise in Python, with advanced data analysis and data engineering skills, including using SQL, experience git version control. Demonstrated structured wrangling and mining skills from data, and problem-solving skills using machine learning, including in real-time hackathon-like settings. Excellent communication and storytelling skills with an ability to unpack complex problems, and articulate AI/ML approaches, solutions, and results for non-technical audiences. Preferred Qualifications Experience with global financial markets, macro-economics, micro-economics, econometrics, and financial datasets. Substantial experience using Causal AI and Structured Causal Models in time series settings. Substantial experience in time series forecasting for demand use cases and/or other complex or dynamic domains like marketing/pricing A practical and effective approach to problem-solving using AI/ML and a knack for envisioning, translating business requirements into analytics requirements, and realising feasible data science solutions. Demonstrated team leadership, project management, and business stakeholder influencing skills Experience mentoring team members to improve their own technical and project management skills. where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Our passion is connection-we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best. We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer-80 hours each year-allows us to give back to causes we are passionate about, and nearly 86% do! Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us! Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you.
Select how often (in days) to receive an alert: Job Title Location Thames Refinery, UK Reports To R&T Director COMPANY DESCRIPTION ASR Group is the world's largest refiner and marketer of cane sugar, with an annual production capacity of more than 6 million tons of sugar. The company produces a full line of grocery, industrial, food service and specialty sweetener products. Across North America, ASR Group owns and operates six sugar refineries, located in Louisiana, New York, California, Maryland, Canada and Mexico. In Europe, the company owns and operates sugar refineries in England and Portugal. ASR Group also owns and operates mills in Mexico and Belize. The company's brand portfolio includes the leading brands Domino , C&H , Redpath , Tate & Lyle , Lyle's and Sidul . OVERVIEW Reporting to the Research & Technology Director, the Senior Research Scientist is responsible for leading and coordinating product development projects across Europe, with occasional involvement in global initiatives. Working within the Global Research and Technology department and European cross-functional teams, this role ensures technical excellence, compliance, and timely delivery of new and existing products. DETAILED ROLES & RESPONSIBILITIES Product Development & Project Management Lead, design, and execute technical aspects of product development, reformulation, and optimisation strategies from concept through launch and post-launch governance. Provide technical leadership in ingredient qualification, formulation development, and production of bench-top or full-scale samples aligned with customer and marketing briefs. Apply stage/gate project management principles to deliver multiple work streams on time and within budget. Develop product formulations and laboratory samples based on consumer insights, ensuring compliance with manufacturing, regulatory, and cost objectives. Design and conduct sensory evaluations and consumer testing (qualitative and quantitative), analyse data, and provide actionable recommendations. Prepare and submit ingredient specifications, formulation briefs, and finished product documentation; develop process control documents in collaboration with quality and operations teams. Scale-Up Trials & Manufacturing Problem Solving Lead scale-up trials across European sites, including co-packers, by defining objectives, developing Design of Experiments plans, capturing critical data, and aligning cross-functional teams to optimise product performance. Direct full-scale production trials to validate process robustness, confirm commercialisation strategies, and ensure seamless transfer from development to manufacturing. Troubleshoot manufacturing, pilot plant, and laboratory processes using data-driven approaches and continuous improvement methodologies to resolve technical challenges. Team and Laboratory Management Manage and mentor a team of one, Research Scientist, by providing guidance, setting priorities, and fostering collaboration to achieve departmental objectives. Oversee routine laboratory operations, including formulation development, analytical testing, equipment reliability, consumables management, and budget planning. Ensure a safe, GMP-compliant laboratory environment and adherence to health and safety standards. Manage qualification and tracking of real-time and accelerated shelf-life assessments for all new, optimised, or reformulated products. Deliver technical training for internal teams and customers on new products, consumer needs, and technology implementation. Cross-Functional Collaboration Contribute to projects involving manufacturing operations, packaging innovation, regulatory, legal, quality, supply chain, and procurement. Partner with Marketing, Sales, Procurement, Finance, and Operations to identify opportunities for competitive advantage and support new product development initiatives. Lead customer engagement sessions, supporting Marketing and Sales with development briefs and product sample showcases. WORK EXPERIENCE Required Experienced in a similar role within the Food or FMCG industry Strong technical expertise in formulation science and manufacturing processes, from bench-top through scale-up and full-scale production. Proficiency in project management methodologies, including stage/gate processes, to deliver multiple work streams on time and within budget. Demonstrated ability to plan, manage, and execute pilot and manufacturing trials in compliance with Good Manufacturing Practice protocols, ensuring accurate sample assessments against agreed specifications. Extensive knowledge of Design of Experiments, sensory evaluation tools, shelf-life studies, and analytical and physical testing methodologies. Proven people management and leadership skills, with experience mentoring teams and fostering collaboration to achieve departmental objectives. EDUCATION & CERTIFICATION Minimum B.Sc. in Foods, Nutrition, Chemistry, Agriculture, or a related Science/Technology/Engineering field. Advanced degree (M.Sc. or Ph.D.) in a relevant discipline is highly desirable. At Tate & Lyle Sugars, our goal is to be the most admired sweetener Company. Service Excellence -Be the industry's Gold Standard by a relentless focus on reliability, providing products with superior quality and excellent customer services.Efficiency and Sustainability -Eliminate inefficiency to be a sustainable, low cost producer and to generate fuel for reinvestment.Value-Add -create strategic advantage and enhanced profitability through value-added products and services. The foundation of our values isTalent and Cultureas we aim to build, retain and motivate a winning team.
Mar 17, 2026
Full time
Select how often (in days) to receive an alert: Job Title Location Thames Refinery, UK Reports To R&T Director COMPANY DESCRIPTION ASR Group is the world's largest refiner and marketer of cane sugar, with an annual production capacity of more than 6 million tons of sugar. The company produces a full line of grocery, industrial, food service and specialty sweetener products. Across North America, ASR Group owns and operates six sugar refineries, located in Louisiana, New York, California, Maryland, Canada and Mexico. In Europe, the company owns and operates sugar refineries in England and Portugal. ASR Group also owns and operates mills in Mexico and Belize. The company's brand portfolio includes the leading brands Domino , C&H , Redpath , Tate & Lyle , Lyle's and Sidul . OVERVIEW Reporting to the Research & Technology Director, the Senior Research Scientist is responsible for leading and coordinating product development projects across Europe, with occasional involvement in global initiatives. Working within the Global Research and Technology department and European cross-functional teams, this role ensures technical excellence, compliance, and timely delivery of new and existing products. DETAILED ROLES & RESPONSIBILITIES Product Development & Project Management Lead, design, and execute technical aspects of product development, reformulation, and optimisation strategies from concept through launch and post-launch governance. Provide technical leadership in ingredient qualification, formulation development, and production of bench-top or full-scale samples aligned with customer and marketing briefs. Apply stage/gate project management principles to deliver multiple work streams on time and within budget. Develop product formulations and laboratory samples based on consumer insights, ensuring compliance with manufacturing, regulatory, and cost objectives. Design and conduct sensory evaluations and consumer testing (qualitative and quantitative), analyse data, and provide actionable recommendations. Prepare and submit ingredient specifications, formulation briefs, and finished product documentation; develop process control documents in collaboration with quality and operations teams. Scale-Up Trials & Manufacturing Problem Solving Lead scale-up trials across European sites, including co-packers, by defining objectives, developing Design of Experiments plans, capturing critical data, and aligning cross-functional teams to optimise product performance. Direct full-scale production trials to validate process robustness, confirm commercialisation strategies, and ensure seamless transfer from development to manufacturing. Troubleshoot manufacturing, pilot plant, and laboratory processes using data-driven approaches and continuous improvement methodologies to resolve technical challenges. Team and Laboratory Management Manage and mentor a team of one, Research Scientist, by providing guidance, setting priorities, and fostering collaboration to achieve departmental objectives. Oversee routine laboratory operations, including formulation development, analytical testing, equipment reliability, consumables management, and budget planning. Ensure a safe, GMP-compliant laboratory environment and adherence to health and safety standards. Manage qualification and tracking of real-time and accelerated shelf-life assessments for all new, optimised, or reformulated products. Deliver technical training for internal teams and customers on new products, consumer needs, and technology implementation. Cross-Functional Collaboration Contribute to projects involving manufacturing operations, packaging innovation, regulatory, legal, quality, supply chain, and procurement. Partner with Marketing, Sales, Procurement, Finance, and Operations to identify opportunities for competitive advantage and support new product development initiatives. Lead customer engagement sessions, supporting Marketing and Sales with development briefs and product sample showcases. WORK EXPERIENCE Required Experienced in a similar role within the Food or FMCG industry Strong technical expertise in formulation science and manufacturing processes, from bench-top through scale-up and full-scale production. Proficiency in project management methodologies, including stage/gate processes, to deliver multiple work streams on time and within budget. Demonstrated ability to plan, manage, and execute pilot and manufacturing trials in compliance with Good Manufacturing Practice protocols, ensuring accurate sample assessments against agreed specifications. Extensive knowledge of Design of Experiments, sensory evaluation tools, shelf-life studies, and analytical and physical testing methodologies. Proven people management and leadership skills, with experience mentoring teams and fostering collaboration to achieve departmental objectives. EDUCATION & CERTIFICATION Minimum B.Sc. in Foods, Nutrition, Chemistry, Agriculture, or a related Science/Technology/Engineering field. Advanced degree (M.Sc. or Ph.D.) in a relevant discipline is highly desirable. At Tate & Lyle Sugars, our goal is to be the most admired sweetener Company. Service Excellence -Be the industry's Gold Standard by a relentless focus on reliability, providing products with superior quality and excellent customer services.Efficiency and Sustainability -Eliminate inefficiency to be a sustainable, low cost producer and to generate fuel for reinvestment.Value-Add -create strategic advantage and enhanced profitability through value-added products and services. The foundation of our values isTalent and Cultureas we aim to build, retain and motivate a winning team.
. Senior Data Product Manager About the Business Elsevier is a global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. About our Team Our Data & Analytics team is at the forefront of transforming the research publication landscape. Working with research ethics and integrity experts, product managers, data scientists and publishers, we enable peer review and editorial workflows for the largest, global scientific publisher. Our goal is to help researchers get their research published whilst safeguarding the integrity of knowledge.We are a passionate data-driven team committed to delivering solutions that safeguard the integrity of knowledge and empower researchers worldwide. Collaboration, curiosity and customer obsession are at our core. About the Role A new position is now open for a Senior Data Product Manager , responsible for managing the development of data products that will underpin multiple critical products and use cases across the publishing lifecycle. Responsibilities Deeply understand data use cases across the business and relationships between data, ensuring reuse and value of data. Define and own the peer review data product strategy and roadmap Define data products with clear, data, quality and usage needs; lead the assessment of third party and company internal data to assess value/impact for peer review products Establish and own ways to measure data ROI and NFRs for each, and actionable performance KPIs, and data quality standards. Work closely with product managers, data analysts and engineers, data science and data architecture to deliver scalable, high-quality data products that support core business needs are translated into valuable datasets. Advocate for data quality and governance , building trust in data products across teams.Serve as a champion for data , ensuring that new datasets and capabilities are known, understood, and actively used. Requirements Proven success in data-heavy product management roles, with experience owning the full product life cycle in a fast-paced, data-driven environment. Strong technical fluency, able to understand dataflows, schema, integration challenge and strategic thinking to translate complex problems into innovative solutions. Excellent communication and stakeholder management skills, with a demonstrated ability to align diverse teams, able to balance business and technical needs. Demonstrated ability to build and delivery strategic roadmaps and prioritise effectively across competing needs. Analytical mindset with experience in defining and tracking KPIs to measure product success. Experience informally leading cross-functional teams and driving outcomes with a collaborative approach. Passion for data quality, impact measurement, and upholding research integrity in scholarly publishing. Working with us We are an equal opportunity employer with a commitment to help you succeed. Here, you will find an inclusive, agile, collaborative, innovative, and fun environment, where everyone has a part to play. Regardless of the team you join, we promote a diverse environment with co-workers who are passionate about what they do and how they do it. Working for you At Elsevier, we know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Long service awards Save As You Earn share option scheme Travel Season ticket loan Maternity, paternity, and shared parental leave Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts via Perks at WorkA global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: . Location: UK - London/Oxford Elsevier is a global leader in advanced information and decision support for science and healthcare. We believe that by working together with the communities we serve, we can shape human progress to go further, happen faster, and benefit all.We support continuous discovery and uphold the highest standards of content integrity, reliability, and reproducibility so the communities we serve can advance their field of science, healthcare or innovation with confidence. By combining high-quality content with powerful analytics, we transform complexity into clarity and deliver mission-critical insights that help professionals make better decisions when it matters most.We deliver insights that help research institutions, governments, and funders achieve their goals. We help researchers discover and share knowledge, collaborate, and accelerate innovation. We help librarians provide verified, quality information to universities. We help innovators turn knowledge into new products. We help health professionals improve patient care and educators train the next generation of doctors and nurses. Connecting quality content and innovative technologies, we make progress go further and happen faster. And by championing inclusion and sustainability, we ensure progress benefits all.With 9,500 employees, over 2,300 technologists in 5 major tech hubs, and more than 60 locations across the globe, we are committed to supporting the scientific and healthcare communities around the world. We offer a diverse range of opportunities across technology, commercial, business, and early career jobs. If you are looking for a career that inspires
Mar 17, 2026
Full time
. Senior Data Product Manager About the Business Elsevier is a global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. About our Team Our Data & Analytics team is at the forefront of transforming the research publication landscape. Working with research ethics and integrity experts, product managers, data scientists and publishers, we enable peer review and editorial workflows for the largest, global scientific publisher. Our goal is to help researchers get their research published whilst safeguarding the integrity of knowledge.We are a passionate data-driven team committed to delivering solutions that safeguard the integrity of knowledge and empower researchers worldwide. Collaboration, curiosity and customer obsession are at our core. About the Role A new position is now open for a Senior Data Product Manager , responsible for managing the development of data products that will underpin multiple critical products and use cases across the publishing lifecycle. Responsibilities Deeply understand data use cases across the business and relationships between data, ensuring reuse and value of data. Define and own the peer review data product strategy and roadmap Define data products with clear, data, quality and usage needs; lead the assessment of third party and company internal data to assess value/impact for peer review products Establish and own ways to measure data ROI and NFRs for each, and actionable performance KPIs, and data quality standards. Work closely with product managers, data analysts and engineers, data science and data architecture to deliver scalable, high-quality data products that support core business needs are translated into valuable datasets. Advocate for data quality and governance , building trust in data products across teams.Serve as a champion for data , ensuring that new datasets and capabilities are known, understood, and actively used. Requirements Proven success in data-heavy product management roles, with experience owning the full product life cycle in a fast-paced, data-driven environment. Strong technical fluency, able to understand dataflows, schema, integration challenge and strategic thinking to translate complex problems into innovative solutions. Excellent communication and stakeholder management skills, with a demonstrated ability to align diverse teams, able to balance business and technical needs. Demonstrated ability to build and delivery strategic roadmaps and prioritise effectively across competing needs. Analytical mindset with experience in defining and tracking KPIs to measure product success. Experience informally leading cross-functional teams and driving outcomes with a collaborative approach. Passion for data quality, impact measurement, and upholding research integrity in scholarly publishing. Working with us We are an equal opportunity employer with a commitment to help you succeed. Here, you will find an inclusive, agile, collaborative, innovative, and fun environment, where everyone has a part to play. Regardless of the team you join, we promote a diverse environment with co-workers who are passionate about what they do and how they do it. Working for you At Elsevier, we know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Long service awards Save As You Earn share option scheme Travel Season ticket loan Maternity, paternity, and shared parental leave Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts via Perks at WorkA global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: . Location: UK - London/Oxford Elsevier is a global leader in advanced information and decision support for science and healthcare. We believe that by working together with the communities we serve, we can shape human progress to go further, happen faster, and benefit all.We support continuous discovery and uphold the highest standards of content integrity, reliability, and reproducibility so the communities we serve can advance their field of science, healthcare or innovation with confidence. By combining high-quality content with powerful analytics, we transform complexity into clarity and deliver mission-critical insights that help professionals make better decisions when it matters most.We deliver insights that help research institutions, governments, and funders achieve their goals. We help researchers discover and share knowledge, collaborate, and accelerate innovation. We help librarians provide verified, quality information to universities. We help innovators turn knowledge into new products. We help health professionals improve patient care and educators train the next generation of doctors and nurses. Connecting quality content and innovative technologies, we make progress go further and happen faster. And by championing inclusion and sustainability, we ensure progress benefits all.With 9,500 employees, over 2,300 technologists in 5 major tech hubs, and more than 60 locations across the globe, we are committed to supporting the scientific and healthcare communities around the world. We offer a diverse range of opportunities across technology, commercial, business, and early career jobs. If you are looking for a career that inspires
Axis Bioservices is a Northern Ireland-based contract research organisation (CRO) committed to delivering high-quality life sciences research and development services for pharmaceutical, biotechnology, and medical device companies worldwide. We specialise in assay development, pre-clinical testing, and advanced laboratory services designed to meet the highest scientific standards. The Role We are seeking an experienced and highly motivated Senior Scientist with strong Molecular Biology expertise to join our growing team. You will lead and deliver technically complex laboratory projects involving molecular techniques, mentor junior scientists, and ensure data integrity and scientific excellence in every project. This is an excellent opportunity to take ownership of project delivery in a collaborative and innovative environment. Key Responsibilities Lead molecular biology-focused projects for client and internal R&D work. Manage day to day project activities, ensuring milestones and deadlines are met. Design, optimise, and validate molecular biology assays, including PCR/qPCR, RT PCR, cloning, sequencing and nucleic acid extraction. Maintain accuracy and quality of experimental data in compliance with internal procedures. Provide technical guidance and training to junior laboratory staff. Present experimental results and technical updates to clients and stakeholders in written and verbal formats. Qualifications PhD or MSc in Molecular Biology, Biotechnology, Biochemistry, Genetics or related discipline (or equivalent industry experience). Proven hands on expertise in molecular biology techniques (e.g. PCR/qPCR, nucleic acid extraction, cloning, sequencing). Experience in experimental design, optimisation and troubleshooting of molecular assays. Strong organisational and project management skills. Excellent written and verbal communication skills, capable of explaining complex concepts clearly. Experience working in a CRO, pharmaceutical or biotech setting. Experience with cell culture, protein expression or functional assays. Record of mentoring scientific staff and contributing to a positive team culture. Track record of publications, conference presentations or contribution to collaborative research projects. Salary & Benefits £38,000 - £45,000 per annum (commensurate with experience) Company pension scheme Professional development and training opportunities Flexible working hours (where possible) Supportive and collaborative working culture Application Process To apply, please submit your CV and cover letter detailing your molecular biology experience and how you meet the essential and desirable criteria.
Mar 17, 2026
Full time
Axis Bioservices is a Northern Ireland-based contract research organisation (CRO) committed to delivering high-quality life sciences research and development services for pharmaceutical, biotechnology, and medical device companies worldwide. We specialise in assay development, pre-clinical testing, and advanced laboratory services designed to meet the highest scientific standards. The Role We are seeking an experienced and highly motivated Senior Scientist with strong Molecular Biology expertise to join our growing team. You will lead and deliver technically complex laboratory projects involving molecular techniques, mentor junior scientists, and ensure data integrity and scientific excellence in every project. This is an excellent opportunity to take ownership of project delivery in a collaborative and innovative environment. Key Responsibilities Lead molecular biology-focused projects for client and internal R&D work. Manage day to day project activities, ensuring milestones and deadlines are met. Design, optimise, and validate molecular biology assays, including PCR/qPCR, RT PCR, cloning, sequencing and nucleic acid extraction. Maintain accuracy and quality of experimental data in compliance with internal procedures. Provide technical guidance and training to junior laboratory staff. Present experimental results and technical updates to clients and stakeholders in written and verbal formats. Qualifications PhD or MSc in Molecular Biology, Biotechnology, Biochemistry, Genetics or related discipline (or equivalent industry experience). Proven hands on expertise in molecular biology techniques (e.g. PCR/qPCR, nucleic acid extraction, cloning, sequencing). Experience in experimental design, optimisation and troubleshooting of molecular assays. Strong organisational and project management skills. Excellent written and verbal communication skills, capable of explaining complex concepts clearly. Experience working in a CRO, pharmaceutical or biotech setting. Experience with cell culture, protein expression or functional assays. Record of mentoring scientific staff and contributing to a positive team culture. Track record of publications, conference presentations or contribution to collaborative research projects. Salary & Benefits £38,000 - £45,000 per annum (commensurate with experience) Company pension scheme Professional development and training opportunities Flexible working hours (where possible) Supportive and collaborative working culture Application Process To apply, please submit your CV and cover letter detailing your molecular biology experience and how you meet the essential and desirable criteria.
A global research and agricultural technology firm is recruiting a Senior Scientist (Microbial Microbiology) for an initial one-year contract in Bracknell, UK. You will work within a dynamic Microbiology team focusing on the characterisation of microbes for next-generation crop protection products. Key responsibilities include planning and executing work programs, documenting findings, and collaborating effectively with colleagues. The ideal candidate should have a PhD in Molecular Microbiology, or equivalent experience, and a strong background in microbial physiology.
Mar 17, 2026
Full time
A global research and agricultural technology firm is recruiting a Senior Scientist (Microbial Microbiology) for an initial one-year contract in Bracknell, UK. You will work within a dynamic Microbiology team focusing on the characterisation of microbes for next-generation crop protection products. Key responsibilities include planning and executing work programs, documenting findings, and collaborating effectively with colleagues. The ideal candidate should have a PhD in Molecular Microbiology, or equivalent experience, and a strong background in microbial physiology.
Senior Quant Analyst / Research Scientist (Contract) Location: London (cross-Atlantic collaboration) Contract: 12 months (strong potential for extension/perm role) Overview A leading global asset management firm is seeking a senior buy-side Quant Analyst / Research Scientist to support its Fund-of-Funds portfolio within a Front Office-aligned Advanced Analytics function. This is a high-impact contract mandate focused on: Hybrid annuity asset allocation modelling Cashflow forecasting Quadratic and convex optimisation Portfolio construction frameworks Python-based prototyping and deployment The role sits at the intersection of quant research, front office portfolio management, and technology deployment, contributing directly to investment strategy and production-ready solutions. You will work within a high-profile Applied R&D environment supporting Active Equities, Fixed Income, Risk Management, Corporate Finance and broader multi-asset strategies. Core Mandate The primary objective is to design and prototype quantitative models that support: Hybrid and annuity-style asset allocation Fund-of-funds portfolio construction Cashflow forecasting and liability-style modelling Constrained and quadratic optimisation problems This is fundamentally a modelling-first mandate, requiring deep applied mathematics capability and hands-on implementation in Python. AI/ML exposure is desirable but secondary - the role is not a pure AI engineering position. Key Responsibilities Develop and implement quantitative models for hybrid annuity asset allocation Solve quadratic, convex, and mixed-integer optimisation problems Apply portfolio construction standards including: Markowitz / Modern Portfolio Theory Black-Litterman Factor models Forecast portfolio cashflows and support annuity-style allocation structures Build robust prototype frameworks in Python Create comprehensive evaluation frameworks including: Out-of-sample validation Simulation Back-testing Analyse model performance and robustness Collaborate directly with front office PMs on assumptions and outputs Engage with quant research and AI teams to industrialise modelling solutions Ensure models are production-ready and operationalised effectively within internal systems Technical Environment Python (production-level proficiency required) Cloud-based research and development platforms: SageMaker Databricks Enterprise data infrastructure: Snowflake Systematic research and quantitative workflows Investment management datasets across multi-asset strategies Required Experience Senior quant experience within buy-side asset management or fund-of-funds environments Strong background in mathematical optimisation and applied modelling Portfolio construction / asset allocation expertise Hands-on Python development capability (not purely supervisory) Experience with equities; fixed income or hybrid portfolio exposure strongly preferred Experience creating model evaluation frameworks (OOS, simulation, back-testing) Experience working with investment management data Ability to read and computationally reproduce academic research Experience translating research outputs into production-grade solutions Comfortable collaborating across international teams (London / US) Desirable Experience Exposure to ML / deep learning architectures Experience integrating AI/ML prototypes into production environments Multi-asset, insurance, or annuity product exposure Experience working alongside Front Office technology teams or PM management tools CFA participation or strong applied financial markets knowledge Graduate degree in a STEM discipline, or equivalent industrial research experience
Mar 16, 2026
Full time
Senior Quant Analyst / Research Scientist (Contract) Location: London (cross-Atlantic collaboration) Contract: 12 months (strong potential for extension/perm role) Overview A leading global asset management firm is seeking a senior buy-side Quant Analyst / Research Scientist to support its Fund-of-Funds portfolio within a Front Office-aligned Advanced Analytics function. This is a high-impact contract mandate focused on: Hybrid annuity asset allocation modelling Cashflow forecasting Quadratic and convex optimisation Portfolio construction frameworks Python-based prototyping and deployment The role sits at the intersection of quant research, front office portfolio management, and technology deployment, contributing directly to investment strategy and production-ready solutions. You will work within a high-profile Applied R&D environment supporting Active Equities, Fixed Income, Risk Management, Corporate Finance and broader multi-asset strategies. Core Mandate The primary objective is to design and prototype quantitative models that support: Hybrid and annuity-style asset allocation Fund-of-funds portfolio construction Cashflow forecasting and liability-style modelling Constrained and quadratic optimisation problems This is fundamentally a modelling-first mandate, requiring deep applied mathematics capability and hands-on implementation in Python. AI/ML exposure is desirable but secondary - the role is not a pure AI engineering position. Key Responsibilities Develop and implement quantitative models for hybrid annuity asset allocation Solve quadratic, convex, and mixed-integer optimisation problems Apply portfolio construction standards including: Markowitz / Modern Portfolio Theory Black-Litterman Factor models Forecast portfolio cashflows and support annuity-style allocation structures Build robust prototype frameworks in Python Create comprehensive evaluation frameworks including: Out-of-sample validation Simulation Back-testing Analyse model performance and robustness Collaborate directly with front office PMs on assumptions and outputs Engage with quant research and AI teams to industrialise modelling solutions Ensure models are production-ready and operationalised effectively within internal systems Technical Environment Python (production-level proficiency required) Cloud-based research and development platforms: SageMaker Databricks Enterprise data infrastructure: Snowflake Systematic research and quantitative workflows Investment management datasets across multi-asset strategies Required Experience Senior quant experience within buy-side asset management or fund-of-funds environments Strong background in mathematical optimisation and applied modelling Portfolio construction / asset allocation expertise Hands-on Python development capability (not purely supervisory) Experience with equities; fixed income or hybrid portfolio exposure strongly preferred Experience creating model evaluation frameworks (OOS, simulation, back-testing) Experience working with investment management data Ability to read and computationally reproduce academic research Experience translating research outputs into production-grade solutions Comfortable collaborating across international teams (London / US) Desirable Experience Exposure to ML / deep learning architectures Experience integrating AI/ML prototypes into production environments Multi-asset, insurance, or annuity product exposure Experience working alongside Front Office technology teams or PM management tools CFA participation or strong applied financial markets knowledge Graduate degree in a STEM discipline, or equivalent industrial research experience
Summer Intern - Trainee Patent Attorney STEM Discipline: Physics/ Electrical and Electronic Engineering Location: Leeds Duration: 2 week full time internship Timing: 29th June for 2 weeks Paid Opportunity EIP is pleased to offer a two week Summer Internship for individuals interested in gaining first hand insight into the work of a patent attorney. This programme provides a valuable opportunity to explore what a career in patent law involves and to help you assess whether it's the right path for you. Interns who perform strongly during the programme may also be considered for a permanent Patent Scientist / Trainee Patent Attorney position for the following September. What To Expect As an Intern at EIP, you will: Take part in induction sessions introducing you to the firm Attend training sessions covering topics such as the basics of patent protection, the role of a patent attorney, life as a trainee, and key IP rights and laws. Shadow your mentor and support them with tasks designed to give you a realistic insight into patent attorney work You will be assigned both a mentor (typically a patent scientist, associate, or senior associate) and a supervisor (usually a partner), each aligned with your technical background and interests. This ensures tailored guidance and meaningful exposure throughout your time with us. Who We're Looking For We welcome applications from individuals who are curious about intellectual property and enthusiastic about exploring a career in patents. Successful candidates will be currently in the penultimate year of a bachelor's degree, master's degree or PhD in Physics / Electrical and Electronic Engineering and demonstrate: A professional and personable approach Excellent written and verbal communication skills Confidence working with people at all levels Ability to work under pressure Strong research and presentation skills Self motivation and effective workload management Meticulous attention to detail and strong analytical ability Initiative and the ability to work independently Who We Are EIP is an award winning firm specialising in high value and complex patent matters, with offices across Europe and the US. Our multidisciplinary team brings together patent attorneys, litigators, and commercial IP lawyers across major patent markets including the UK, Europe and the USA. We work with a diverse and growing client base-from major multinationals to innovative scale ups and cutting edge start ups-helping them protect and maximise the value of their intellectual property.
Mar 16, 2026
Full time
Summer Intern - Trainee Patent Attorney STEM Discipline: Physics/ Electrical and Electronic Engineering Location: Leeds Duration: 2 week full time internship Timing: 29th June for 2 weeks Paid Opportunity EIP is pleased to offer a two week Summer Internship for individuals interested in gaining first hand insight into the work of a patent attorney. This programme provides a valuable opportunity to explore what a career in patent law involves and to help you assess whether it's the right path for you. Interns who perform strongly during the programme may also be considered for a permanent Patent Scientist / Trainee Patent Attorney position for the following September. What To Expect As an Intern at EIP, you will: Take part in induction sessions introducing you to the firm Attend training sessions covering topics such as the basics of patent protection, the role of a patent attorney, life as a trainee, and key IP rights and laws. Shadow your mentor and support them with tasks designed to give you a realistic insight into patent attorney work You will be assigned both a mentor (typically a patent scientist, associate, or senior associate) and a supervisor (usually a partner), each aligned with your technical background and interests. This ensures tailored guidance and meaningful exposure throughout your time with us. Who We're Looking For We welcome applications from individuals who are curious about intellectual property and enthusiastic about exploring a career in patents. Successful candidates will be currently in the penultimate year of a bachelor's degree, master's degree or PhD in Physics / Electrical and Electronic Engineering and demonstrate: A professional and personable approach Excellent written and verbal communication skills Confidence working with people at all levels Ability to work under pressure Strong research and presentation skills Self motivation and effective workload management Meticulous attention to detail and strong analytical ability Initiative and the ability to work independently Who We Are EIP is an award winning firm specialising in high value and complex patent matters, with offices across Europe and the US. Our multidisciplinary team brings together patent attorneys, litigators, and commercial IP lawyers across major patent markets including the UK, Europe and the USA. We work with a diverse and growing client base-from major multinationals to innovative scale ups and cutting edge start ups-helping them protect and maximise the value of their intellectual property.
