Amex GBT is a place where colleagues find inspiration in travel as a force for good and - through their work - can make an impact on our industry. We're here to help our colleagues achieve success and offer an inclusive and collaborative culture where your voice is valued. Data drives our business. Come and join our Analytic team and take part in defining and distilling that data for key corporate decision makers and our clients around the world. About the Role: The Amex GBT Analytics team is actively seeking a qualified candidate to fulfil the role of Lead Data Analyst/ Scientist. This critical position demands a self-motivated, results-oriented individual, with strong analytical skills to join our global team. Using advanced analytical techniques, you will support the business teams through critical projects and influence decisions based on data and analyses that help deliver results. You will have the opportunity to work on a broad spectrum of areas that include in-product messaging, marketing operations, campaign performance optimization, and personalized marketing framework. This position will be highly rewarding and lots of fun. Training and development opportunities will abound ensuring high-performing individuals can chart a long-term career trajectory within the company. This role represents an exciting opportunity to join Amex GBT, as we define the future of business travel as we lead the industry into a new era. What you will do Passionate storytelling and bringing data to life by partnering with key stakeholders. Design and build models to prioritize and classify critical touchpoints along the customer journey to increase internal guidance and prioritization. Lead strategic and quantitative analysis to support and enable the continued growth critical to Amex GBT. Influence partners and senior leaders by communicating across various levels of the organization in a clear and compelling way. Maintain, consolidate, and enrich current reports/dashboards to visualize data analysis and insights. Support ongoing needs for analytical/ operational reporting, and day-to-day needs that impact our Sales and Marketing teams. Support data migrations, updating links, and ratifying and consolidating existing reports. Identify, prioritize, and drive operational improvements. What We're Looking For Proficiency in verbal and written communication, and competence in data presentation. Relevant bachelor's or master's degree or equivalent experience in any of the following fields: computer science, statistics, mathematics, physical sciences with strong understating of data analytics. Validated experience with marketing technologies, such as Google Analytics, Adobe Analytics, Salesforce Marketing Cloud, Marketo or similar technologies 8+ years of work experience in a relevant business environment. Proficiency in SQL (to feel comfortable manipulating data, creating scripts that combine different data sources and interpret results) and Python/R. Strong experience using Tableau to pull data from various sources, develop and publish automated reports and dashboards. Deep understanding of data and reporting requirements, with the ability to collaborate on analytics models, reporting tools, and return on investment analysis. Capacity to thrive in a fast-paced environment and embrace ambiguity while maintaining a sharp focus on delivering results. Location United Kingdom The Experience Work and life: Find your happy medium at Amex GBT. Flexible benefits are tailored to each country and start the day you do. These include health and welfare insurance plans, retirement programs, parental leave, adoption assistance, and wellbeing resources to support you and your immediate family . Travel perks: get a choice of deals each week from major travel providers on everything from flights to hotels to cruises and car rentals. Develop the skills you want when the time is right for you, with access to over 20,000 courses on our learning platform, leadership courses, and new job openings available to internal candidates first. We strive to champion Inclusion in every aspect of our business at Amex GBT. You can connect with colleagues through our global INclusion Groups, centered around common identities or initiatives, to discuss challenges, obstacles, achievements, and drive company awareness and action. And much more! A ll applicants will receive equal consideration for employment without regard to age, sex, gender (and characteristics related to sex and gender), pregnancy (and related medical conditions), race, color, citizenship, religion, disability, or any other class or characteristic protected by law. Click Here for Additional Disclosures in Accordance with the LA County Fair Chance Ordinance. Furthermore, we are committed to providing reasonable accommodation to qualified individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the hiring process. For details regarding how we protect your data, please consult the Amex GBT Recruitment Privacy Statement . What if I don't meet every requirement? If you're passionate about our mission and believe you'd be a phenomenal addition to our team, don't worry about "checking every box;" please apply anyway. You may be exactly the person we're looking for!
Jul 19, 2025
Full time
Amex GBT is a place where colleagues find inspiration in travel as a force for good and - through their work - can make an impact on our industry. We're here to help our colleagues achieve success and offer an inclusive and collaborative culture where your voice is valued. Data drives our business. Come and join our Analytic team and take part in defining and distilling that data for key corporate decision makers and our clients around the world. About the Role: The Amex GBT Analytics team is actively seeking a qualified candidate to fulfil the role of Lead Data Analyst/ Scientist. This critical position demands a self-motivated, results-oriented individual, with strong analytical skills to join our global team. Using advanced analytical techniques, you will support the business teams through critical projects and influence decisions based on data and analyses that help deliver results. You will have the opportunity to work on a broad spectrum of areas that include in-product messaging, marketing operations, campaign performance optimization, and personalized marketing framework. This position will be highly rewarding and lots of fun. Training and development opportunities will abound ensuring high-performing individuals can chart a long-term career trajectory within the company. This role represents an exciting opportunity to join Amex GBT, as we define the future of business travel as we lead the industry into a new era. What you will do Passionate storytelling and bringing data to life by partnering with key stakeholders. Design and build models to prioritize and classify critical touchpoints along the customer journey to increase internal guidance and prioritization. Lead strategic and quantitative analysis to support and enable the continued growth critical to Amex GBT. Influence partners and senior leaders by communicating across various levels of the organization in a clear and compelling way. Maintain, consolidate, and enrich current reports/dashboards to visualize data analysis and insights. Support ongoing needs for analytical/ operational reporting, and day-to-day needs that impact our Sales and Marketing teams. Support data migrations, updating links, and ratifying and consolidating existing reports. Identify, prioritize, and drive operational improvements. What We're Looking For Proficiency in verbal and written communication, and competence in data presentation. Relevant bachelor's or master's degree or equivalent experience in any of the following fields: computer science, statistics, mathematics, physical sciences with strong understating of data analytics. Validated experience with marketing technologies, such as Google Analytics, Adobe Analytics, Salesforce Marketing Cloud, Marketo or similar technologies 8+ years of work experience in a relevant business environment. Proficiency in SQL (to feel comfortable manipulating data, creating scripts that combine different data sources and interpret results) and Python/R. Strong experience using Tableau to pull data from various sources, develop and publish automated reports and dashboards. Deep understanding of data and reporting requirements, with the ability to collaborate on analytics models, reporting tools, and return on investment analysis. Capacity to thrive in a fast-paced environment and embrace ambiguity while maintaining a sharp focus on delivering results. Location United Kingdom The Experience Work and life: Find your happy medium at Amex GBT. Flexible benefits are tailored to each country and start the day you do. These include health and welfare insurance plans, retirement programs, parental leave, adoption assistance, and wellbeing resources to support you and your immediate family . Travel perks: get a choice of deals each week from major travel providers on everything from flights to hotels to cruises and car rentals. Develop the skills you want when the time is right for you, with access to over 20,000 courses on our learning platform, leadership courses, and new job openings available to internal candidates first. We strive to champion Inclusion in every aspect of our business at Amex GBT. You can connect with colleagues through our global INclusion Groups, centered around common identities or initiatives, to discuss challenges, obstacles, achievements, and drive company awareness and action. And much more! A ll applicants will receive equal consideration for employment without regard to age, sex, gender (and characteristics related to sex and gender), pregnancy (and related medical conditions), race, color, citizenship, religion, disability, or any other class or characteristic protected by law. Click Here for Additional Disclosures in Accordance with the LA County Fair Chance Ordinance. Furthermore, we are committed to providing reasonable accommodation to qualified individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the hiring process. For details regarding how we protect your data, please consult the Amex GBT Recruitment Privacy Statement . What if I don't meet every requirement? If you're passionate about our mission and believe you'd be a phenomenal addition to our team, don't worry about "checking every box;" please apply anyway. You may be exactly the person we're looking for!
Exciting Opportunity: Join a rapidly growing Environmental Management and Assessment Team! Are you ready to take your career to new heights? My client's Environmental Management and Assessment Team is expanding, and hence on the lookout for passionate individuals at Principal and Senior levels to join their team across multiple locations in the UK. From Exeter to London, Luton to Birmingham, Wakefield to Manchester, this is your chance to be part of a dynamic team making a real difference. As a key member of the team, you'll have the opportunity to work on exciting projects spanning various sectors. From coordinating Environmental Impact Assessments to preparing Environmental Statements and Risk Assessments, you'll play a crucial role in delivering objective-led solutions that drive our business forward. Location Across the UK - Exeter, London, Luton, Birmingham, Wakefield, Manchester Responsibilities & Tasks Lead the coordination of Environmental Impact Assessments, ensuring high standards of safety, quality, and environmental responsibility. Prepare Environmental Statements, Management Plans, and Risk Assessments, demonstrating your expertise in environmental science and legislation. Collaborate with internal teams and partner companies to deliver exceptional outcomes for our clients. Drive business development initiatives, advocating for our services and contributing to bid preparation. Foster strong relationships with clients and third parties, enhancing our reputation and securing new opportunities. Champion our company's capabilities internally and externally, promoting my client's services to current and prospective clients. Ideal Candidate Profile Hold a degree in Environmental Science or related field. Membership of relevant professional bodies such as IEMA, with Chartered Environmentalist or Chartered Scientist status preferred. Proven experience in coordinating Environmental Impact Assessments across different sectors. Sound knowledge of the UK planning system and consents processes, with practical experience in assembling Environmental Statements. Strong analytical, communication, and leadership skills, with the ability to work collaboratively in multidisciplinary teams. Commercial acumen and a track record of success in environmental consultancy procurement. Rewards & Benefits In return for your hard work and dedication, my client offers a highly competitive salary and a comprehensive benefits package. This is an exceptional opportunity to join a forward-thinking organization with ambitious growth plans. You'll receive extensive training, ample opportunities for career advancement, and the chance to shape the future of the business. If you're ready to take the next step in your sustainability career, we encourage you to reach out for a confidential discussion about this exciting opportunity. Let's explore how you can contribute to my client's growth and make a meaningful impact on the world around us. This is one of a number of exciting positions currently available via JSM Associates. JSM offers an extensive range of jobs in the areas of Environmental and Sustainability, including ESG, EIA and Ecology, Contaminated Land, Environmental Planning, Air Quality and Noise. Phone - Email - Website - Twitter LinkedIn
Jul 19, 2025
Full time
Exciting Opportunity: Join a rapidly growing Environmental Management and Assessment Team! Are you ready to take your career to new heights? My client's Environmental Management and Assessment Team is expanding, and hence on the lookout for passionate individuals at Principal and Senior levels to join their team across multiple locations in the UK. From Exeter to London, Luton to Birmingham, Wakefield to Manchester, this is your chance to be part of a dynamic team making a real difference. As a key member of the team, you'll have the opportunity to work on exciting projects spanning various sectors. From coordinating Environmental Impact Assessments to preparing Environmental Statements and Risk Assessments, you'll play a crucial role in delivering objective-led solutions that drive our business forward. Location Across the UK - Exeter, London, Luton, Birmingham, Wakefield, Manchester Responsibilities & Tasks Lead the coordination of Environmental Impact Assessments, ensuring high standards of safety, quality, and environmental responsibility. Prepare Environmental Statements, Management Plans, and Risk Assessments, demonstrating your expertise in environmental science and legislation. Collaborate with internal teams and partner companies to deliver exceptional outcomes for our clients. Drive business development initiatives, advocating for our services and contributing to bid preparation. Foster strong relationships with clients and third parties, enhancing our reputation and securing new opportunities. Champion our company's capabilities internally and externally, promoting my client's services to current and prospective clients. Ideal Candidate Profile Hold a degree in Environmental Science or related field. Membership of relevant professional bodies such as IEMA, with Chartered Environmentalist or Chartered Scientist status preferred. Proven experience in coordinating Environmental Impact Assessments across different sectors. Sound knowledge of the UK planning system and consents processes, with practical experience in assembling Environmental Statements. Strong analytical, communication, and leadership skills, with the ability to work collaboratively in multidisciplinary teams. Commercial acumen and a track record of success in environmental consultancy procurement. Rewards & Benefits In return for your hard work and dedication, my client offers a highly competitive salary and a comprehensive benefits package. This is an exceptional opportunity to join a forward-thinking organization with ambitious growth plans. You'll receive extensive training, ample opportunities for career advancement, and the chance to shape the future of the business. If you're ready to take the next step in your sustainability career, we encourage you to reach out for a confidential discussion about this exciting opportunity. Let's explore how you can contribute to my client's growth and make a meaningful impact on the world around us. This is one of a number of exciting positions currently available via JSM Associates. JSM offers an extensive range of jobs in the areas of Environmental and Sustainability, including ESG, EIA and Ecology, Contaminated Land, Environmental Planning, Air Quality and Noise. Phone - Email - Website - Twitter LinkedIn
Lyst is a global fashion shopping platform founded in London in 2010 and catering to over 160M shoppers per year. We offer our customers the largest assortment of premium & luxury fashion products in one place, curating pieces from 27,000 of the world's leading brands and stores. In 2025, Lyst joined Zozo, operators of Zozotown, the leading fashion e-commerce platform in Japan. This partnership marks a bold new era for Lyst, as we accelerate our vision and work together to transform the future of fashion shopping through AI and technology. At Lyst, we obsess over the customer, providing a search & discovery experience which offers inspiration, fulfilment, and personalisation. We believe that fashion is amazing but shopping for fashion often isn't, and use our technology, data and creativity to bring more joy, greater choice and fewer fails. Our mission is to help fashion shoppers make better choices and help fashion partners find better audiences as the category-leading destination for every fashion shopper. The Role We're looking for an experienced and impact-driven Senior Data Scientist to join our Discovery team, focused on helping customers find products they love through better search, recommendations, and personalisation. This is a high-responsibility role that blends advanced modeling, analytical investigations and project ownership. You'll take the lead on projects that improve the core discovery experience-such as personalisation, relevance ranking, and multi-modal retrieval-as well as conduct deep investigations into user behaviour and feature performance. You'll be working across the full research and experimentation lifecycle: from framing the problem and exploring the data, to prototyping models, running offline evaluations, and validating ideas through AB testing. You'll also contribute to literature reviews and research spikes-for example, investigating how to apply new developments in vector search, embeddings, or LLMs to our discovery stack. This is a senior position, so you'll be expected to run projects independently: shaping roadmaps, communicating findings with clarity, mentoring junior team members, and collaborating closely with engineers, PMs and analysts to deliver measurable user and business impact. We work primarily in Python and SQL, with tools like Scikit-learn, Tensorflow, PyTorch and Pandas. Our ML stack runs on AWS and Sagemaker. We value clean, documented, well-tested and reviewed code-and have the tooling and culture to support this. Responsibilities Lead data science projects that improve product discovery features like search, recommendations and browsing Research and prototype new approaches using structured data, text, image and multi-modal embeddings Design and run offline evaluations to assess model changes before launch Conduct statistical investigations into customer behaviour and funnel performance (e.g. search abandonment, filter usage, session patterns) Run literature reviews and research spikes on emerging techniques-e.g. LLM-assisted retrieval, hybrid recommenders, contrastive learning Collaborate with ML engineers to move promising prototypes into production Design and analyse AB tests to evaluate impact on discovery metrics (e.g. conversion, engagement, retention) Present complex results to non-technical stakeholders with clarity and strategic insight Mentor junior data scientists, delegate tasks where appropriate, and help set technical direction 5+ years of experience in applied data science, preferably in search, recommendations or user modelling Strong Python and SQL skills, with deep experience in data exploration, feature engineering and model evaluation Proven experience applying and comparing models for structured prediction, ranking, retrieval or recommendation Strong understanding of offline evaluation techniques and trade-offs in information retrieval and recommender systems Ability to communicate clearly across disciplines and seniority levels-including product, design and engineering Experience planning and delivering projects end-to-end, from problem definition to experimentation and rollout Familiarity with AB testing design and analysis in online product settings Bonus: experience working with embeddings (e.g. image, text, product), vector search, LLMs or hybrid models Our Ways of Working: We all come into the office on Tuesdays and Thursdays, with the option to work remotely or come into the office on the other days. We believe that in person collaboration and community spirit is important, which is why we spend some of our time in the office and some of our time at home. Time Off: In addition to the 8 statutory bank holidays, you will receive 29 holidays per year. Lyst's holiday year runs from 1 April to 31 March. Competitive Family Leave Package: This includes Enhanced Family Leave for those eligible, paid Time off for Dependents and Support for Fertility Treatment & Loss. Clothing Benefit: We want you to enjoy using the Lyst app and site as much as our customers, so we provide you with a clothing allowance to use on Lyst every year. This starts at £250 when you join and increases up to £1,000 with your length of service. Private Healthcare: Our healthcare provider is Vitality. Your health is important to us which is why we offer all employees a comprehensive healthcare scheme from the day you start. Training Allowance: We're big on continuous learning and growth, so all employees are currently entitled to an annual training allowance of £1,000. This can be used to attend conferences, industry events, training courses and to purchase resources. Pension Scheme: Our pension provider is The People's Pension. We offer a minimum employee contribution of 5% and 3% employer contribution. Eye Tests and Vouchers: Employees can make a saving on their eye test and glasses through our chosen provider. You'll receive a free eye test every year and a discount towards glasses. Cycle-to-Work Scheme: Lyst will purchase a bicycle from your chosen retailer, you will then receive a voucher to pick up your bicycle from them. Transport Season Ticket Loan: Employees can apply for an interest free season ticket loan to support your travel to work. Social Events: Frequent company wide social events including Christmas & summer parties, themed events, as well as smaller team socials. We also have plenty of interest based groups such as football, running club, book club, culinary and more.
Jul 19, 2025
Full time
Lyst is a global fashion shopping platform founded in London in 2010 and catering to over 160M shoppers per year. We offer our customers the largest assortment of premium & luxury fashion products in one place, curating pieces from 27,000 of the world's leading brands and stores. In 2025, Lyst joined Zozo, operators of Zozotown, the leading fashion e-commerce platform in Japan. This partnership marks a bold new era for Lyst, as we accelerate our vision and work together to transform the future of fashion shopping through AI and technology. At Lyst, we obsess over the customer, providing a search & discovery experience which offers inspiration, fulfilment, and personalisation. We believe that fashion is amazing but shopping for fashion often isn't, and use our technology, data and creativity to bring more joy, greater choice and fewer fails. Our mission is to help fashion shoppers make better choices and help fashion partners find better audiences as the category-leading destination for every fashion shopper. The Role We're looking for an experienced and impact-driven Senior Data Scientist to join our Discovery team, focused on helping customers find products they love through better search, recommendations, and personalisation. This is a high-responsibility role that blends advanced modeling, analytical investigations and project ownership. You'll take the lead on projects that improve the core discovery experience-such as personalisation, relevance ranking, and multi-modal retrieval-as well as conduct deep investigations into user behaviour and feature performance. You'll be working across the full research and experimentation lifecycle: from framing the problem and exploring the data, to prototyping models, running offline evaluations, and validating ideas through AB testing. You'll also contribute to literature reviews and research spikes-for example, investigating how to apply new developments in vector search, embeddings, or LLMs to our discovery stack. This is a senior position, so you'll be expected to run projects independently: shaping roadmaps, communicating findings with clarity, mentoring junior team members, and collaborating closely with engineers, PMs and analysts to deliver measurable user and business impact. We work primarily in Python and SQL, with tools like Scikit-learn, Tensorflow, PyTorch and Pandas. Our ML stack runs on AWS and Sagemaker. We value clean, documented, well-tested and reviewed code-and have the tooling and culture to support this. Responsibilities Lead data science projects that improve product discovery features like search, recommendations and browsing Research and prototype new approaches using structured data, text, image and multi-modal embeddings Design and run offline evaluations to assess model changes before launch Conduct statistical investigations into customer behaviour and funnel performance (e.g. search abandonment, filter usage, session patterns) Run literature reviews and research spikes on emerging techniques-e.g. LLM-assisted retrieval, hybrid recommenders, contrastive learning Collaborate with ML engineers to move promising prototypes into production Design and analyse AB tests to evaluate impact on discovery metrics (e.g. conversion, engagement, retention) Present complex results to non-technical stakeholders with clarity and strategic insight Mentor junior data scientists, delegate tasks where appropriate, and help set technical direction 5+ years of experience in applied data science, preferably in search, recommendations or user modelling Strong Python and SQL skills, with deep experience in data exploration, feature engineering and model evaluation Proven experience applying and comparing models for structured prediction, ranking, retrieval or recommendation Strong understanding of offline evaluation techniques and trade-offs in information retrieval and recommender systems Ability to communicate clearly across disciplines and seniority levels-including product, design and engineering Experience planning and delivering projects end-to-end, from problem definition to experimentation and rollout Familiarity with AB testing design and analysis in online product settings Bonus: experience working with embeddings (e.g. image, text, product), vector search, LLMs or hybrid models Our Ways of Working: We all come into the office on Tuesdays and Thursdays, with the option to work remotely or come into the office on the other days. We believe that in person collaboration and community spirit is important, which is why we spend some of our time in the office and some of our time at home. Time Off: In addition to the 8 statutory bank holidays, you will receive 29 holidays per year. Lyst's holiday year runs from 1 April to 31 March. Competitive Family Leave Package: This includes Enhanced Family Leave for those eligible, paid Time off for Dependents and Support for Fertility Treatment & Loss. Clothing Benefit: We want you to enjoy using the Lyst app and site as much as our customers, so we provide you with a clothing allowance to use on Lyst every year. This starts at £250 when you join and increases up to £1,000 with your length of service. Private Healthcare: Our healthcare provider is Vitality. Your health is important to us which is why we offer all employees a comprehensive healthcare scheme from the day you start. Training Allowance: We're big on continuous learning and growth, so all employees are currently entitled to an annual training allowance of £1,000. This can be used to attend conferences, industry events, training courses and to purchase resources. Pension Scheme: Our pension provider is The People's Pension. We offer a minimum employee contribution of 5% and 3% employer contribution. Eye Tests and Vouchers: Employees can make a saving on their eye test and glasses through our chosen provider. You'll receive a free eye test every year and a discount towards glasses. Cycle-to-Work Scheme: Lyst will purchase a bicycle from your chosen retailer, you will then receive a voucher to pick up your bicycle from them. Transport Season Ticket Loan: Employees can apply for an interest free season ticket loan to support your travel to work. Social Events: Frequent company wide social events including Christmas & summer parties, themed events, as well as smaller team socials. We also have plenty of interest based groups such as football, running club, book club, culinary and more.
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to team: The Traveler Business Team builds and drives growth for our global consumer businesses-Expedia, and Vrbo. This division creates compelling and differentiated traveler value for each brand by setting the strategic vision, operating strategy, and plan. Responsibilities include investment allocation and prioritization, P&L accountability, and leading cross-functional teams across Expedia Group, who are all held accountable to a single scorecard. Are you passionate about data, analytics and predictive modelling? Do you want to be at the forefront of a truly customer-centric organization. We are looking for a hardworking and intelligent individual to fill the Data Scientist III (Individual Contributor) role in the Planning and Insights Analytics team. You will provide powerful analyses and insights and develop business forecast models, capital allocation and strategic planning across Expedia Group brands. This is an exciting opportunity for a team-player who wants to be a central part of a truly customer focused team and a growing analytics function! You will own the relationship with our stakeholders and help drive the expansion of forecast applications, spend allocation and scenario planning across the B2C organization. You will also have opportunities to research and develop new modelling techniques that incorporate business drivers as required. The successful individual will be able to work with minimal instruction and oversight, enjoy working on multiple tasks and projects at the same time and own projects end to end. Critical to your success in this role is a love of data (we love data!) - developing insightful analysis that you communicate in a clear and compelling way. In this role, you will: Apply advanced analytical techniques, statistical knowledge, machine learning, and big data handling skills to support our commercial stakeholders' decision-making Use your creativity and commercial acumen to translate business problems into structured analytical questions, and choose the most appropriate methodologies to answer these questions Own the relationships with our Marketing stakeholders, and work autonomously to prioritise and execute on the most impactful analytics projects Influence partners and senior leaders through communicating across various levels of the organization using clear and compelling storytelling and presentations Prioritise multiple tasks and workstreams simultaneously and own projects end to end Experience and qualifications: Bachelor's, Master's, PhD; Mathematics, Science, Statistics, Economics degree; or Equivalent related professional experience is applicable 3+ years of experience in a similar analytical role Strong Python and SQL skills with demonstrated experience to structure, transform and analyze data, and a willingness to learn new frameworks and languages required for the task Prior experience in predictive modelling and developing forecast applications Display a true passion for data and analytics as well as possessing a strong commercial awareness. A high performing individual contributor who consistently applies - and often enhances - the analytical capabilities, principles and playbooks to solve complex business issues and opportunities Develops and drives significant and sustained change and performance improvement from data driven insights in a number of different areas or contexts Experience of developing, and delivering, presentations that help people understand the insight from sophisticated analytics Ability to perform in a high-pressure, dynamic environment and be comfortable with a high level of ambiguity. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request . We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, and Expedia Cruises. 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is . Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Jul 19, 2025
Full time
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to team: The Traveler Business Team builds and drives growth for our global consumer businesses-Expedia, and Vrbo. This division creates compelling and differentiated traveler value for each brand by setting the strategic vision, operating strategy, and plan. Responsibilities include investment allocation and prioritization, P&L accountability, and leading cross-functional teams across Expedia Group, who are all held accountable to a single scorecard. Are you passionate about data, analytics and predictive modelling? Do you want to be at the forefront of a truly customer-centric organization. We are looking for a hardworking and intelligent individual to fill the Data Scientist III (Individual Contributor) role in the Planning and Insights Analytics team. You will provide powerful analyses and insights and develop business forecast models, capital allocation and strategic planning across Expedia Group brands. This is an exciting opportunity for a team-player who wants to be a central part of a truly customer focused team and a growing analytics function! You will own the relationship with our stakeholders and help drive the expansion of forecast applications, spend allocation and scenario planning across the B2C organization. You will also have opportunities to research and develop new modelling techniques that incorporate business drivers as required. The successful individual will be able to work with minimal instruction and oversight, enjoy working on multiple tasks and projects at the same time and own projects end to end. Critical to your success in this role is a love of data (we love data!) - developing insightful analysis that you communicate in a clear and compelling way. In this role, you will: Apply advanced analytical techniques, statistical knowledge, machine learning, and big data handling skills to support our commercial stakeholders' decision-making Use your creativity and commercial acumen to translate business problems into structured analytical questions, and choose the most appropriate methodologies to answer these questions Own the relationships with our Marketing stakeholders, and work autonomously to prioritise and execute on the most impactful analytics projects Influence partners and senior leaders through communicating across various levels of the organization using clear and compelling storytelling and presentations Prioritise multiple tasks and workstreams simultaneously and own projects end to end Experience and qualifications: Bachelor's, Master's, PhD; Mathematics, Science, Statistics, Economics degree; or Equivalent related professional experience is applicable 3+ years of experience in a similar analytical role Strong Python and SQL skills with demonstrated experience to structure, transform and analyze data, and a willingness to learn new frameworks and languages required for the task Prior experience in predictive modelling and developing forecast applications Display a true passion for data and analytics as well as possessing a strong commercial awareness. A high performing individual contributor who consistently applies - and often enhances - the analytical capabilities, principles and playbooks to solve complex business issues and opportunities Develops and drives significant and sustained change and performance improvement from data driven insights in a number of different areas or contexts Experience of developing, and delivering, presentations that help people understand the insight from sophisticated analytics Ability to perform in a high-pressure, dynamic environment and be comfortable with a high level of ambiguity. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request . We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, and Expedia Cruises. 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is . Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Moving your career forward Our CEO, Angus spotted that many vans on the roads are half full or empty at any given time and so AnyVan was born in 2009 to create the world's most efficient technology logistics platform and help halve the number of miles driven. We've achieved incredible milestones since then, including securing the largest funding round for a UK tech logistics company from Vitruvian Partners. Today, AnyVan is the largest and fastest-growing company in the logistics space, with big ambitions for the future. We're committed to moving that's miles better and have helped over 8 million customers across the UK, Ireland and Europe (France, Germany, Italy, Spain) and over 150,000 customers have rated us excellent on Trustpilot. By using innovative technology, we're transforming the moving experience, cutting costs and doing our part for the planet to make sure moving doesn't cost the earth. We've saved enough miles to travel 1,185 times around the world, reduce 8520 tonnes of carbon annually and are proud to be the only carbon neutral removals and delivery company in the UK We're looking for passionate individuals to join our talented team of approx. 300 AnyVanners in our London and Cape Town offices. If you're as driven as we are and want to be part of a forward-thinking company to make moving 'miles better' and moving your career forward at the same time - we'd love to hear from you! As part of our Routing and Optimisation team, you'll play a crucial role in helping us deliver industry-leading products and services to our customers and delivery partners, while also reducing our cost to fulfil and minimising environmental impact. What you'll be doing: Bring a strong commercial mindset and apply advanced scientific techniques, analytics, and statistics to solve high-impact decision problems. As a seasoned data or decision science practitioner, you'll design and develop scalable, innovative algorithms and analytical solutions with a clear focus on business value. Collaborate closely with the Head of Routing and Optimisation, as well as engineering and product leaders, to conceptualise and deliver end-to-end solutions using heuristics, machine learning, and optimisation techniques. Work alongside, guide, and mentor both senior and junior data scientists to develop production-ready solutions, contributing hands-on where needed to write and deploy high-quality code. Partner with product and tech stakeholders to bring these solutions to life, ensuring they are scalable, sustainable, and commercially effective. Define key KPIs for each solution and take responsibility for tracking their performance post-launch to ensure they deliver measurable impact. Through your technical leadership and commercial focus, you'll drive meaningful outcomes while maintaining a bias toward simplicity and speed. What you'll need to succeed: A masters or PhD in Operations Research, Computer Science, Applied Mathematics, Machine Learning, Statistics or related algorithmic fields Proven experience developing optimisation or machine learning solutions in fast-paced logistics marketplaces or top-tier management consulting firms focused on logistics A commercial mindset - driven by business impact, not perfection. You find simple, scalable solutions that solve 80% of the problem quickly rather than chasing complex, unnecessary models Passion to drive end-to-end value creation - from shaping the problem to deploying usable solutions and measuring their impact Ability to work with ambiguity and bring clarity; you're comfortable creating structure where there is none Deep understanding of techniques such as mixed-integer programming, heuristics/metaheuristics, approximate algorithms, constraint programming, and machine learning (incl. deep learning) - and you know when not to use them Hands-on experience in domains such as procurement planning, pricing, revenue management, routing, and forecasting Strong SQL and programming ability (Python essential; Java/C++ a plus) Excellent communication skills (written and verbal) - you can explain complex ideas in simple terms, and push back on over-complication when needed Passion for data science, optimisation, and the logistics marketplace Working knowledge of agile methodologies and experience working in fast-moving cross-functional teams A bias to action - you value progress over perfection and can move quickly to deliver value Based in the UK, happy to commute to our Hammersmith office at least 3 days a week Perks of the job: A great base salary that reflects your value Take a Break: 25 days of holiday plus public holidays, Christmas Eve on us and Long Term Service perks capped at 30days Keeping you healthy: In house gym, the opportunity to join Vitality with a hole host of wellbeing benefits and medical cover and enhanced sick pay Prepare for the future: The People's Pension with 5% employee and 3% employer contributions Family leave: enhanced maternity pay Travel: We're 2 mins walk from the tube, partner with Octopus Electric Vehicles and Evans Cycle to Work scheme, and have showers and towels if you cycle! Keeping you refreshed: Enjoy an in-house barista and free breakfast every day Social Scene: Thursday drinks and regular social activities Celebrating Success: 1/4 performance awards with prizes and an annual performance awards - last years winner enjoyed a 4 day all expenses paid trip to the French alps! Skills Booster: Opportunity to join a disruptive Technology Leader and be part of a fast-growing, innovative company reshaping the industry Our company values are: Have fun, get it done (work hard play hard, satisfaction in results, do the right thing) Progress over perfection (Innovate and disrupt, Curious and adaptable, Work quick, learn quicker) One team thinking big (Collaborate and communicate, Celebrate wins, Embrace challenges) DE&I We are committed to building an inclusive and diverse workplace where every voice is heard, every perspective is valued, and every individual has the opportunity to thrive. We welcome applicants from all backgrounds to be part of our mission and contribute to our vibrant culture.
Jul 19, 2025
Full time
Moving your career forward Our CEO, Angus spotted that many vans on the roads are half full or empty at any given time and so AnyVan was born in 2009 to create the world's most efficient technology logistics platform and help halve the number of miles driven. We've achieved incredible milestones since then, including securing the largest funding round for a UK tech logistics company from Vitruvian Partners. Today, AnyVan is the largest and fastest-growing company in the logistics space, with big ambitions for the future. We're committed to moving that's miles better and have helped over 8 million customers across the UK, Ireland and Europe (France, Germany, Italy, Spain) and over 150,000 customers have rated us excellent on Trustpilot. By using innovative technology, we're transforming the moving experience, cutting costs and doing our part for the planet to make sure moving doesn't cost the earth. We've saved enough miles to travel 1,185 times around the world, reduce 8520 tonnes of carbon annually and are proud to be the only carbon neutral removals and delivery company in the UK We're looking for passionate individuals to join our talented team of approx. 300 AnyVanners in our London and Cape Town offices. If you're as driven as we are and want to be part of a forward-thinking company to make moving 'miles better' and moving your career forward at the same time - we'd love to hear from you! As part of our Routing and Optimisation team, you'll play a crucial role in helping us deliver industry-leading products and services to our customers and delivery partners, while also reducing our cost to fulfil and minimising environmental impact. What you'll be doing: Bring a strong commercial mindset and apply advanced scientific techniques, analytics, and statistics to solve high-impact decision problems. As a seasoned data or decision science practitioner, you'll design and develop scalable, innovative algorithms and analytical solutions with a clear focus on business value. Collaborate closely with the Head of Routing and Optimisation, as well as engineering and product leaders, to conceptualise and deliver end-to-end solutions using heuristics, machine learning, and optimisation techniques. Work alongside, guide, and mentor both senior and junior data scientists to develop production-ready solutions, contributing hands-on where needed to write and deploy high-quality code. Partner with product and tech stakeholders to bring these solutions to life, ensuring they are scalable, sustainable, and commercially effective. Define key KPIs for each solution and take responsibility for tracking their performance post-launch to ensure they deliver measurable impact. Through your technical leadership and commercial focus, you'll drive meaningful outcomes while maintaining a bias toward simplicity and speed. What you'll need to succeed: A masters or PhD in Operations Research, Computer Science, Applied Mathematics, Machine Learning, Statistics or related algorithmic fields Proven experience developing optimisation or machine learning solutions in fast-paced logistics marketplaces or top-tier management consulting firms focused on logistics A commercial mindset - driven by business impact, not perfection. You find simple, scalable solutions that solve 80% of the problem quickly rather than chasing complex, unnecessary models Passion to drive end-to-end value creation - from shaping the problem to deploying usable solutions and measuring their impact Ability to work with ambiguity and bring clarity; you're comfortable creating structure where there is none Deep understanding of techniques such as mixed-integer programming, heuristics/metaheuristics, approximate algorithms, constraint programming, and machine learning (incl. deep learning) - and you know when not to use them Hands-on experience in domains such as procurement planning, pricing, revenue management, routing, and forecasting Strong SQL and programming ability (Python essential; Java/C++ a plus) Excellent communication skills (written and verbal) - you can explain complex ideas in simple terms, and push back on over-complication when needed Passion for data science, optimisation, and the logistics marketplace Working knowledge of agile methodologies and experience working in fast-moving cross-functional teams A bias to action - you value progress over perfection and can move quickly to deliver value Based in the UK, happy to commute to our Hammersmith office at least 3 days a week Perks of the job: A great base salary that reflects your value Take a Break: 25 days of holiday plus public holidays, Christmas Eve on us and Long Term Service perks capped at 30days Keeping you healthy: In house gym, the opportunity to join Vitality with a hole host of wellbeing benefits and medical cover and enhanced sick pay Prepare for the future: The People's Pension with 5% employee and 3% employer contributions Family leave: enhanced maternity pay Travel: We're 2 mins walk from the tube, partner with Octopus Electric Vehicles and Evans Cycle to Work scheme, and have showers and towels if you cycle! Keeping you refreshed: Enjoy an in-house barista and free breakfast every day Social Scene: Thursday drinks and regular social activities Celebrating Success: 1/4 performance awards with prizes and an annual performance awards - last years winner enjoyed a 4 day all expenses paid trip to the French alps! Skills Booster: Opportunity to join a disruptive Technology Leader and be part of a fast-growing, innovative company reshaping the industry Our company values are: Have fun, get it done (work hard play hard, satisfaction in results, do the right thing) Progress over perfection (Innovate and disrupt, Curious and adaptable, Work quick, learn quicker) One team thinking big (Collaborate and communicate, Celebrate wins, Embrace challenges) DE&I We are committed to building an inclusive and diverse workplace where every voice is heard, every perspective is valued, and every individual has the opportunity to thrive. We welcome applicants from all backgrounds to be part of our mission and contribute to our vibrant culture.
The role: We are seeking a highly skilled Senior Data Scientist to join our team. Reporting into the Data Delivery Lead, you will be responsible for analysing and interpreting data from a variety of sources to support our clients decision-making processes. The Data team within Prevail underpins all our mission focused teams. No two days are the same, and the real-world problems that we seek to solve are complicated. Our ideal candidate will have exceptional analytical skills, with the ability to navigate through complex datasets to turn ambiguous requests into meaningful insights. These are the key things that you will be responsible for within the Senior Data Scientist role. There will be activities and tasks in addition to this list that are expected, but the majority of your time will be: Analysing and evaluating intelligence data to identify patterns, trends, and relationships that contribute to actionable intelligence. Utilise advanced analytical techniques and tools to assess the reliability, accuracy, and relevance of intelligence information. Develop and maintain databases, data models, and analytical frameworks to facilitate efficient data analysis and retrieval. Collaborate with intelligence and security professionals across the company to understand requirements and priorities. Prepare and deliver reports, briefings, and presentations to communicate analytical findings to stakeholders effectively. Monitor and assess emerging threats, developments, and geopolitical events to support intelligence assessments and forecasting. Collaborate with cross functional teams to advocate for high-quality data solutions. Mentor more junior members of the team You: Essential Criteria: Proven experience working as a Data Scientist in a relevant field Proficiency in data analysis, data mining, and statistical techniques. Detail-oriented and capable of working with large data sets and attention to accuracy and completeness. Proficiency utilising Python or R (5+ years' experience) Familiarity with conventional statistical models (linear/logistic regression, t-tests, ANOVA) Experience in collecting, organising, and analysing data from diverse sources. Strong analytical thinking, problem-solving, and critical reasoning skills. Excellent written and verbal communication skills, with the ability to convey complex information clearly and concisely. Ability to work independently and as part of a team, managing multiple priorities and meeting deadlines. Ability to attain a UK Security Clearance (5+ years residing in the UK) Highly desirable: Experienced in writing reports or academic articles, presenting at conferences, and visual data storytelling. Familiar with AWS, SQL and Tableau. A background in intelligence or quantitative social sciences. Proficient in experimental design principles. Experience in big data handling, with an awareness of analytical biases and pitfalls. Skilled in documenting and sharing methodologies with data professionals. Familiar with version control tools like GitHub. Familiar with building machine learning pipelines and basic engineering principles. Familiar with machine learning techniques (e.g. Random Forest and LGBM). Us: Prevail Partners delivers high quality intelligence, research and consultancy services to clients ranging from governments and multinational corporations to non-governmental organisations. These services are delivered predominantly across Europe, the Middle East and Africa. We pride ourselves on selecting interesting projects which we believe can genuinely make a difference. You will be joining the company at a time of continued growth, and will be required to support a wide variety of these projects across the whole company. What we offer here at Prevail: Competitive salary, salary sacrifice pension, access to onsite gym facilities, enhanced leave polices, and private healthcare after two years at Prevail.
Jul 19, 2025
Full time
The role: We are seeking a highly skilled Senior Data Scientist to join our team. Reporting into the Data Delivery Lead, you will be responsible for analysing and interpreting data from a variety of sources to support our clients decision-making processes. The Data team within Prevail underpins all our mission focused teams. No two days are the same, and the real-world problems that we seek to solve are complicated. Our ideal candidate will have exceptional analytical skills, with the ability to navigate through complex datasets to turn ambiguous requests into meaningful insights. These are the key things that you will be responsible for within the Senior Data Scientist role. There will be activities and tasks in addition to this list that are expected, but the majority of your time will be: Analysing and evaluating intelligence data to identify patterns, trends, and relationships that contribute to actionable intelligence. Utilise advanced analytical techniques and tools to assess the reliability, accuracy, and relevance of intelligence information. Develop and maintain databases, data models, and analytical frameworks to facilitate efficient data analysis and retrieval. Collaborate with intelligence and security professionals across the company to understand requirements and priorities. Prepare and deliver reports, briefings, and presentations to communicate analytical findings to stakeholders effectively. Monitor and assess emerging threats, developments, and geopolitical events to support intelligence assessments and forecasting. Collaborate with cross functional teams to advocate for high-quality data solutions. Mentor more junior members of the team You: Essential Criteria: Proven experience working as a Data Scientist in a relevant field Proficiency in data analysis, data mining, and statistical techniques. Detail-oriented and capable of working with large data sets and attention to accuracy and completeness. Proficiency utilising Python or R (5+ years' experience) Familiarity with conventional statistical models (linear/logistic regression, t-tests, ANOVA) Experience in collecting, organising, and analysing data from diverse sources. Strong analytical thinking, problem-solving, and critical reasoning skills. Excellent written and verbal communication skills, with the ability to convey complex information clearly and concisely. Ability to work independently and as part of a team, managing multiple priorities and meeting deadlines. Ability to attain a UK Security Clearance (5+ years residing in the UK) Highly desirable: Experienced in writing reports or academic articles, presenting at conferences, and visual data storytelling. Familiar with AWS, SQL and Tableau. A background in intelligence or quantitative social sciences. Proficient in experimental design principles. Experience in big data handling, with an awareness of analytical biases and pitfalls. Skilled in documenting and sharing methodologies with data professionals. Familiar with version control tools like GitHub. Familiar with building machine learning pipelines and basic engineering principles. Familiar with machine learning techniques (e.g. Random Forest and LGBM). Us: Prevail Partners delivers high quality intelligence, research and consultancy services to clients ranging from governments and multinational corporations to non-governmental organisations. These services are delivered predominantly across Europe, the Middle East and Africa. We pride ourselves on selecting interesting projects which we believe can genuinely make a difference. You will be joining the company at a time of continued growth, and will be required to support a wide variety of these projects across the whole company. What we offer here at Prevail: Competitive salary, salary sacrifice pension, access to onsite gym facilities, enhanced leave polices, and private healthcare after two years at Prevail.
Research Scientist / Senior Research Scientist 14706 Contract Competitive Site Based Berkshire, United Kingdom Updated on: 16-07-2025 ROLE OVERVIEW Our client is currently seeking a talented Research Scientist / Senior Research Scientist to join a leading Precision Medicine company based in the Berkshire area. As a Research Scientist / Senior Research Scientist, you will be responsible for contributing to the Biomarker Assay Sciences group (BMAS) within a drug discovery environment. KEY DUTIES AND RESPONSIBILITIES: Your duties as the Research Scientist / Senior Research Scientist will be varied; however, the key duties and responsibilities are as follows: 1. Develop immunohistochemistry assays in the laboratory and deliver high-quality, fit-for-purpose assays and robust data for pre-clinical and clinical studies. 2. Troubleshoot assays by independently resolving technical issues. 3. Liaise efficiently with internal and external stakeholders to plan, design, and execute experiments. 4. Utilise scientific judgement to independently interpret analytical data and communicate results in a timely manner. ROLE REQUIREMENTS: To be successful in your application to this exciting role as the Research Scientist / Senior Research Scientist, we are looking to identify the following on your profile and past history: 1. Relevant degree in a related scientific field. 2. Proven industry experience in immunohistochemistry techniques, ideally in the drug discovery setting. 3. A working knowledge and practical experience with general histology methods, brightfield and fluorescent microscopy, whole-slide scanning, image analysis, and digital image analysis software packages. Key Words: Immunohistochemistry / microscopy / digital image analysis / drug discovery / bioanalysis / biomarker discovery / histology / pre-clinical studies / clinical studies / translational sciences Hyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer. We welcome applications from anyone who meets the role requirements. HRS exclusively supports the STEM sectors, combining recruitment expertise with scientific knowledge to help you advance your career. Your next opportunity is just a click away!
Jul 19, 2025
Full time
Research Scientist / Senior Research Scientist 14706 Contract Competitive Site Based Berkshire, United Kingdom Updated on: 16-07-2025 ROLE OVERVIEW Our client is currently seeking a talented Research Scientist / Senior Research Scientist to join a leading Precision Medicine company based in the Berkshire area. As a Research Scientist / Senior Research Scientist, you will be responsible for contributing to the Biomarker Assay Sciences group (BMAS) within a drug discovery environment. KEY DUTIES AND RESPONSIBILITIES: Your duties as the Research Scientist / Senior Research Scientist will be varied; however, the key duties and responsibilities are as follows: 1. Develop immunohistochemistry assays in the laboratory and deliver high-quality, fit-for-purpose assays and robust data for pre-clinical and clinical studies. 2. Troubleshoot assays by independently resolving technical issues. 3. Liaise efficiently with internal and external stakeholders to plan, design, and execute experiments. 4. Utilise scientific judgement to independently interpret analytical data and communicate results in a timely manner. ROLE REQUIREMENTS: To be successful in your application to this exciting role as the Research Scientist / Senior Research Scientist, we are looking to identify the following on your profile and past history: 1. Relevant degree in a related scientific field. 2. Proven industry experience in immunohistochemistry techniques, ideally in the drug discovery setting. 3. A working knowledge and practical experience with general histology methods, brightfield and fluorescent microscopy, whole-slide scanning, image analysis, and digital image analysis software packages. Key Words: Immunohistochemistry / microscopy / digital image analysis / drug discovery / bioanalysis / biomarker discovery / histology / pre-clinical studies / clinical studies / translational sciences Hyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer. We welcome applications from anyone who meets the role requirements. HRS exclusively supports the STEM sectors, combining recruitment expertise with scientific knowledge to help you advance your career. Your next opportunity is just a click away!
Paragraf's patented contamination-free deposition technology delivers game-changing opportunities for the commercialisation of graphene by allowing us to manufacture high-purity 2D graphene sheets at scale. Paragraf is the first company in the world to mass produce graphene-based electronic devices using standard semiconductor processes. We not only specialise in the manufacture of high-purity graphene but also its seamless integration into ready to use products that can be quickly adopted by our customers and partners to support the advancement of their technologies. At Paragraf we are committed to materially transforming electronics through the development of high-purity graphene products that will facilitate massive improvements in the performance of technologies across all aspects of life. Founded as a spin out from Cambridge University in 2017 with the aim of transferring the technology from the academic lab into a commercial entity. Since then, we have grown from one site in Somersham, Cambridgeshire and an additional production facility in Huntingdon as well as sales teams globally promoting Paragraf. The Role Working with the Applications Team, this role supports product research activities, primarily for Graphene Molecular Sensor (GMS) products, delivering performance improvements aligned with market requirements. We are at an exciting stage of product development and this role will be key to support activities focused on technical understanding of Paragraf graphene and its utilisation in GMS device operation. Collaborating with teams across the organisation the role will provide technical input to support product development and customer applications; supporting projects with external collaborators on innovative commercial product development. Key Responsibilities & Tasks Undertake research and development activities for projects, prioritising activities to deliver performance improvements aligned with market and customer requirements. Contribute to a roadmap for products as required to solve customer pain points and business objectives. Contribute technical expertise and recommendations for development and commercial activities and longer-term planning; join technical discussions for partnerships and occasional customer visits for technical discussion and demonstrations. Undertake task and project management, ensuring objectives are delivered with key results regularly reviewed and reported. Propose and develop feasibility studies to support existing projects and enable new avenues of research, around both GMS and blue-sky applications with Paragraf graphene to enable new market opportunities. Provide performance data for customer facing documents for commercial and marketing colleagues, outlining key performance attributes of our devices vs. competition. Liaise with Technology, Development, Epitaxy and Production teams to ensure alignment of requirements to hit business objectives. Compile updates for meetings and reporting as required. Present results at external conferences as required. Complete other duties commensurate with the role's level as requested by your team leader or manager Education and Qualifications Degree in chemistry, electrochemistry, physics or related fields, with industrial experience advantageous. Experience Practical experience of electrochemical sensing Experience of planning and conducting experiments to achieve set objectives within a commercial environment Experience with surface chemistry and processing Experience of working flexibly to deliver project activities with a range of colleagues Advantageous experience includes Experience in surface analytical techniques (e.g. SEM, AFM, Raman, XPS) Experience working with ion sensitive field effect transistors advantageous Experience working with, or good knowledge of, semiconductor devices Experience with fundamental electrochemical techniques Experience developing assays with bio molecules Experience of working with external partners effectively Communication Good communication skills with the confidence to contribute to ideas generation to colleagues and collaborators Effectively communicate technical information, and to report on status of work in a timely manner to senior management Ability to present information clearly and appropriately for the audience Ability to handle several ongoing projects, and can prioritise and organise own workload Capability to work autonomously and make considered decisions Additional factors Respect and adherence to confidentiality and critical matters Responsible for ensuring a safe and healthy work environment by complying with company policies and processes and all relevant regulations including the use of PPE, as appropriate to the level and scope of the role. This includes participation in health and safety training and reporting of any potential hazards or breaches of safety protocols in the appropriate manner. Willing to travel both domestically and abroad At Paragraf we are constantly looking for new ways to support and reward our team. This is our current list of benefits, they are subject to change and review: Group Personal Pension Plan- Employer contribution 5%, Employee contribution minimum 4% Private health insurance on completion of probation Share Option scheme Death in service of 3 times salary and income protection on completion of probation 25 days holiday, plus bank holidays, and the chance to 'purchase' up to 5 additional days each year Personal and Professional Development Plans and support Employee Assistance Programme Cycle to work scheme Electric Vehicle Lease Scheme Payroll Giving scheme
Jul 19, 2025
Full time
Paragraf's patented contamination-free deposition technology delivers game-changing opportunities for the commercialisation of graphene by allowing us to manufacture high-purity 2D graphene sheets at scale. Paragraf is the first company in the world to mass produce graphene-based electronic devices using standard semiconductor processes. We not only specialise in the manufacture of high-purity graphene but also its seamless integration into ready to use products that can be quickly adopted by our customers and partners to support the advancement of their technologies. At Paragraf we are committed to materially transforming electronics through the development of high-purity graphene products that will facilitate massive improvements in the performance of technologies across all aspects of life. Founded as a spin out from Cambridge University in 2017 with the aim of transferring the technology from the academic lab into a commercial entity. Since then, we have grown from one site in Somersham, Cambridgeshire and an additional production facility in Huntingdon as well as sales teams globally promoting Paragraf. The Role Working with the Applications Team, this role supports product research activities, primarily for Graphene Molecular Sensor (GMS) products, delivering performance improvements aligned with market requirements. We are at an exciting stage of product development and this role will be key to support activities focused on technical understanding of Paragraf graphene and its utilisation in GMS device operation. Collaborating with teams across the organisation the role will provide technical input to support product development and customer applications; supporting projects with external collaborators on innovative commercial product development. Key Responsibilities & Tasks Undertake research and development activities for projects, prioritising activities to deliver performance improvements aligned with market and customer requirements. Contribute to a roadmap for products as required to solve customer pain points and business objectives. Contribute technical expertise and recommendations for development and commercial activities and longer-term planning; join technical discussions for partnerships and occasional customer visits for technical discussion and demonstrations. Undertake task and project management, ensuring objectives are delivered with key results regularly reviewed and reported. Propose and develop feasibility studies to support existing projects and enable new avenues of research, around both GMS and blue-sky applications with Paragraf graphene to enable new market opportunities. Provide performance data for customer facing documents for commercial and marketing colleagues, outlining key performance attributes of our devices vs. competition. Liaise with Technology, Development, Epitaxy and Production teams to ensure alignment of requirements to hit business objectives. Compile updates for meetings and reporting as required. Present results at external conferences as required. Complete other duties commensurate with the role's level as requested by your team leader or manager Education and Qualifications Degree in chemistry, electrochemistry, physics or related fields, with industrial experience advantageous. Experience Practical experience of electrochemical sensing Experience of planning and conducting experiments to achieve set objectives within a commercial environment Experience with surface chemistry and processing Experience of working flexibly to deliver project activities with a range of colleagues Advantageous experience includes Experience in surface analytical techniques (e.g. SEM, AFM, Raman, XPS) Experience working with ion sensitive field effect transistors advantageous Experience working with, or good knowledge of, semiconductor devices Experience with fundamental electrochemical techniques Experience developing assays with bio molecules Experience of working with external partners effectively Communication Good communication skills with the confidence to contribute to ideas generation to colleagues and collaborators Effectively communicate technical information, and to report on status of work in a timely manner to senior management Ability to present information clearly and appropriately for the audience Ability to handle several ongoing projects, and can prioritise and organise own workload Capability to work autonomously and make considered decisions Additional factors Respect and adherence to confidentiality and critical matters Responsible for ensuring a safe and healthy work environment by complying with company policies and processes and all relevant regulations including the use of PPE, as appropriate to the level and scope of the role. This includes participation in health and safety training and reporting of any potential hazards or breaches of safety protocols in the appropriate manner. Willing to travel both domestically and abroad At Paragraf we are constantly looking for new ways to support and reward our team. This is our current list of benefits, they are subject to change and review: Group Personal Pension Plan- Employer contribution 5%, Employee contribution minimum 4% Private health insurance on completion of probation Share Option scheme Death in service of 3 times salary and income protection on completion of probation 25 days holiday, plus bank holidays, and the chance to 'purchase' up to 5 additional days each year Personal and Professional Development Plans and support Employee Assistance Programme Cycle to work scheme Electric Vehicle Lease Scheme Payroll Giving scheme
Principal Effectiveness Consultant - Charity Focused Agency - Data for Good - Central London hybrid - Salary negotiable depending on skills & experience to £75,000 - J12973 Working for the UK's leading independent media agency, and one of the fastest growing. A media agency that's made differently. Purpose-led, data-driven, founder-run and proudly independent. Join a team of 25 like-minded data-driven individuals, who have various engineering, analytics and advanced measurement and re-attribution, meaning learning different techniques and approaches are regular occurrences, which only helps accelerate an individual's consultancy experience. This role lives within the Marketing Effectiveness team, where their measurement solutions and modelling expertise help a diverse client-set understand the true value of their media investment, create compelling data stories on how to drive growth, and automate the insights into the planning cycle through their advance and integrated tech stack. Duties • Lead end-to-end Marketing Mix Modelling/econometrics projects, from Initial model development to insights generation and data storytelling. • Specialise as an effectiveness consultant, working closely with client team's to ensure frameworks are fit-for-purpose and answer client challenges • The Principal Consultant (PC) is expected to develop deep expertise in the sector and be a the key go-to person for a diverse set of clients and client team planners/buyers • Responsible for development of client presentation material alongside the senior team • Lead on business effort and revenue pipeline within assigned client list - This includes identifying new business opportunities (existing client- or new), writing proposals, creating thought leadership and involvement in pitches. • Further, Innovate, develop, and streamline the automated modelling process - working closely with the in-house engineering teams to make your plans a reality • Be an ambassador, connecting across external/internal stakeholders to deliver value by building a good reputation in the industry Skills • Hands-on experience in delivering media measurement and effectiveness results using Marketing Mix Modelling/econometrics techniques (Min 7 years+). • Consulting/client problem-solving experience, a solid understanding of how measurement frameworks can help clients with insights that make a real difference to grow their business • Responsible for the line management of other consultants/data scientists • Strong working knowledge of advertising, able to work closely with media planners/buyers and align analytical insights, to practical application of results • Solid experience in handling and analysing data, willing to use a range of tools/approaches to problem best answer the clients' challenges • Experience in project management throughout delivery stages of using statistical techniques in a commercial environment • Significant experience in a marketing, media or business planning environment. • A passion for media and marketing and motivated by new channel mediums and related measurement challenges If this sounds like the role for you then please apply today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website:
Jul 19, 2025
Full time
Principal Effectiveness Consultant - Charity Focused Agency - Data for Good - Central London hybrid - Salary negotiable depending on skills & experience to £75,000 - J12973 Working for the UK's leading independent media agency, and one of the fastest growing. A media agency that's made differently. Purpose-led, data-driven, founder-run and proudly independent. Join a team of 25 like-minded data-driven individuals, who have various engineering, analytics and advanced measurement and re-attribution, meaning learning different techniques and approaches are regular occurrences, which only helps accelerate an individual's consultancy experience. This role lives within the Marketing Effectiveness team, where their measurement solutions and modelling expertise help a diverse client-set understand the true value of their media investment, create compelling data stories on how to drive growth, and automate the insights into the planning cycle through their advance and integrated tech stack. Duties • Lead end-to-end Marketing Mix Modelling/econometrics projects, from Initial model development to insights generation and data storytelling. • Specialise as an effectiveness consultant, working closely with client team's to ensure frameworks are fit-for-purpose and answer client challenges • The Principal Consultant (PC) is expected to develop deep expertise in the sector and be a the key go-to person for a diverse set of clients and client team planners/buyers • Responsible for development of client presentation material alongside the senior team • Lead on business effort and revenue pipeline within assigned client list - This includes identifying new business opportunities (existing client- or new), writing proposals, creating thought leadership and involvement in pitches. • Further, Innovate, develop, and streamline the automated modelling process - working closely with the in-house engineering teams to make your plans a reality • Be an ambassador, connecting across external/internal stakeholders to deliver value by building a good reputation in the industry Skills • Hands-on experience in delivering media measurement and effectiveness results using Marketing Mix Modelling/econometrics techniques (Min 7 years+). • Consulting/client problem-solving experience, a solid understanding of how measurement frameworks can help clients with insights that make a real difference to grow their business • Responsible for the line management of other consultants/data scientists • Strong working knowledge of advertising, able to work closely with media planners/buyers and align analytical insights, to practical application of results • Solid experience in handling and analysing data, willing to use a range of tools/approaches to problem best answer the clients' challenges • Experience in project management throughout delivery stages of using statistical techniques in a commercial environment • Significant experience in a marketing, media or business planning environment. • A passion for media and marketing and motivated by new channel mediums and related measurement challenges If this sounds like the role for you then please apply today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website:
About Motorway Motorway is the UK's fastest-growing used car marketplace - our award winning, online-only platform connects private car sellers with over 7,500 verified dealers nationwide, who compete to offer the best price. Founded in 2017, our technology makes the process refreshingly easy, earning us an 'Excellent' Trustpilot rating with over 70,000 reviews. We're not just building a platform; we're changing how people sell cars. Backed by leading investors like Index Ventures and ICONIQ Growth, and following a successful $190 million funding round, we're on a mission to transform the used car market. About the role We are looking for a Senior Product Manager to join our growing Auction Dynamics team. As a Senior PM, you will lead a Product team dedicated to driving our online marketplace performance. The product solutions you develop will drive our marketplace health to new highs, provide a superior experience for our buyers and sellers and break new ground on supply and demand matching. What you will do Define and communicate a compelling product vision and roadmap for Motorway's marketplace, aligned with company objectives Drive business Impact: Own specific revenue/growth metrics and demonstrate how you are driving not just impact for Motorway but also creating significant value for our customers Make your product team 2x more effective, not 2x busier Place 3-5 big strategic bets per year that could each be company-changing wins See through the hundreds of good ideas to identify the greatest product opportunities (and explain why) Execution & Delivery Lead cross-functional teams of engineers, designers, data scientists, and other specialists. Structure problems so your team produces breakthrough work, not incremental iterations Drive product development from concept through launch, ensuring quality and customer impact Manage the deployment of production grade DS/ML models by collaborating with DS and ML teams, within established MLOps frameworks Make complex tradeoff decisions balancing user needs, technical constraints, and business priorities. Establish rigorous experimentation frameworks and data-driven decision making processes. Run experiments that produce learning even when they "fail" Cross-functional working Collaborate across the org on strategic initiatives and quarterly planning Brilliantly communicate the what, the how and the why and produce crisp, compelling data-led documentation Requirements Solid experience in product management, with a proven track record of shipping products that moved meaningful business metrics, ideally within within a marketplace environment Highly analytical individual, with excellent problem-solving skills and understanding of data science and machine learning concepts. You must be able to talk compellingly on how you utilise data to drive impact and be able to rigorously debate data approaches with your DS/ML counterparts Ability to zoom between pixel-level details and quarterly planning without losing coherence Strong experience with experimentation and AB testing, formulating and testing hypotheses and telling a story based on the data harvested You thrive translating complex data insights into actionable product strategies Passionate about user-centric product development, possessing a deep understanding of user research methodologies to give great customer experiences Excellent communicator and collaborator, and have demonstrated the ability to work effectively with cross-functional teams to deliver products and features that drive significant business outcomes Results-oriented, adept at delivering projects quickly while adapting to new information/feedback to challenge and validate assumptions A passion for product management as a discipline and a drive to continuously iterate and improve ways of working Self-starter and proactive individual who loves to collaborate, with a strong work ethic and a can-do attitude A curious mindset and ability to quickly develop strong domain knowledge. You are passionate about the automotive industry and excited about the opportunity to revolutionise the used car market. Benefits A competitive salary Annual learning budget - with your learning budget, you can pay for learning experiences to support your progression. BUPA health insurance Discounted dental through BUPA Discounted gym membership through BUPA OnHand volunteering membership and one paid volunteering day per year Hybrid working from home (approximately 1-2 days in the office a week) Pension scheme Motorway car leasing scheme - lease a zero-emissions electric vehicle at a significant discount Enhanced parental leave - We offer enhanced maternity pay (26 weeks of full pay) and enhanced paternity pay (4 weeks of full pay) to eligible employees. Workplace nursery scheme Top spec MacBook Pro and peripherals Regular social events Cycle to work scheme Equal opportunities statement We are committed to equality of opportunity for all employees. We work to provide a supportive and inclusive environment where people can maximise their full potential. We believe our workforce should reflect a variety of backgrounds, talents, perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talents. We welcome applications from all individuals regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.
Jul 19, 2025
Full time
About Motorway Motorway is the UK's fastest-growing used car marketplace - our award winning, online-only platform connects private car sellers with over 7,500 verified dealers nationwide, who compete to offer the best price. Founded in 2017, our technology makes the process refreshingly easy, earning us an 'Excellent' Trustpilot rating with over 70,000 reviews. We're not just building a platform; we're changing how people sell cars. Backed by leading investors like Index Ventures and ICONIQ Growth, and following a successful $190 million funding round, we're on a mission to transform the used car market. About the role We are looking for a Senior Product Manager to join our growing Auction Dynamics team. As a Senior PM, you will lead a Product team dedicated to driving our online marketplace performance. The product solutions you develop will drive our marketplace health to new highs, provide a superior experience for our buyers and sellers and break new ground on supply and demand matching. What you will do Define and communicate a compelling product vision and roadmap for Motorway's marketplace, aligned with company objectives Drive business Impact: Own specific revenue/growth metrics and demonstrate how you are driving not just impact for Motorway but also creating significant value for our customers Make your product team 2x more effective, not 2x busier Place 3-5 big strategic bets per year that could each be company-changing wins See through the hundreds of good ideas to identify the greatest product opportunities (and explain why) Execution & Delivery Lead cross-functional teams of engineers, designers, data scientists, and other specialists. Structure problems so your team produces breakthrough work, not incremental iterations Drive product development from concept through launch, ensuring quality and customer impact Manage the deployment of production grade DS/ML models by collaborating with DS and ML teams, within established MLOps frameworks Make complex tradeoff decisions balancing user needs, technical constraints, and business priorities. Establish rigorous experimentation frameworks and data-driven decision making processes. Run experiments that produce learning even when they "fail" Cross-functional working Collaborate across the org on strategic initiatives and quarterly planning Brilliantly communicate the what, the how and the why and produce crisp, compelling data-led documentation Requirements Solid experience in product management, with a proven track record of shipping products that moved meaningful business metrics, ideally within within a marketplace environment Highly analytical individual, with excellent problem-solving skills and understanding of data science and machine learning concepts. You must be able to talk compellingly on how you utilise data to drive impact and be able to rigorously debate data approaches with your DS/ML counterparts Ability to zoom between pixel-level details and quarterly planning without losing coherence Strong experience with experimentation and AB testing, formulating and testing hypotheses and telling a story based on the data harvested You thrive translating complex data insights into actionable product strategies Passionate about user-centric product development, possessing a deep understanding of user research methodologies to give great customer experiences Excellent communicator and collaborator, and have demonstrated the ability to work effectively with cross-functional teams to deliver products and features that drive significant business outcomes Results-oriented, adept at delivering projects quickly while adapting to new information/feedback to challenge and validate assumptions A passion for product management as a discipline and a drive to continuously iterate and improve ways of working Self-starter and proactive individual who loves to collaborate, with a strong work ethic and a can-do attitude A curious mindset and ability to quickly develop strong domain knowledge. You are passionate about the automotive industry and excited about the opportunity to revolutionise the used car market. Benefits A competitive salary Annual learning budget - with your learning budget, you can pay for learning experiences to support your progression. BUPA health insurance Discounted dental through BUPA Discounted gym membership through BUPA OnHand volunteering membership and one paid volunteering day per year Hybrid working from home (approximately 1-2 days in the office a week) Pension scheme Motorway car leasing scheme - lease a zero-emissions electric vehicle at a significant discount Enhanced parental leave - We offer enhanced maternity pay (26 weeks of full pay) and enhanced paternity pay (4 weeks of full pay) to eligible employees. Workplace nursery scheme Top spec MacBook Pro and peripherals Regular social events Cycle to work scheme Equal opportunities statement We are committed to equality of opportunity for all employees. We work to provide a supportive and inclusive environment where people can maximise their full potential. We believe our workforce should reflect a variety of backgrounds, talents, perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talents. We welcome applications from all individuals regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.
The world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. About the job you're considering We are looking for a IT/OT senior architect - Defense whose responsibility will be to promote and develop world-class Smart Factory solutions for our clients across the Defense sector. This individual should have experience of taking clients on their Smart Factory journey from demonstrating the need and value of Industry 4.0 solutions, supporting sales team, architecting solutions, leading engineering teams to deliver the right solutions. You will be a proven and energetic pre-sales leader and Smart Factory architect with a visible passion for the solutions we deliver, capable of inspiring our clients and our delivery teams and convincing others to support you to achieve your objectives. You will manage a team of IT/OT/IOT engineers, making sure your team is always on top of new technologies. Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time. If you are successfully offered this position, you will go through a series of pre-employment checks, including: identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service) Your Role Delivering on the promises we have made to our stakeholders requires a certain kind of leader, and our vision for leadership is based on 5 dimensions, designed to help us shape the way we work. Candidates will be required to explore these dimensions and demonstrate how they have employed aspects of them in the past, using concrete examples, and how they plan to incorporate them going forward in this new role. Work Experience 15+ years of experience of having handled different client organisations, business lines & environments. 15+ years of experience in engineering, with client facing experience in a solutions architecture, technical consulting, or presales engineering role Prior experience of architecting & developing smart factory solutions in business processes Platform level / major system Architect Deep understanding of product development, engineering, manufacturing, and supply chain processes Solid understanding the smart factory concepts, practices, and procedures. OEE, Assembly, Part, Bill of Materials, Workflow Process, Release to Manufacturing, Revise, Change Management, Product Structure, Process Management, Customization, Logistics, Supply Chain Demonstrable relationships with Senior Clients up to CXO Level Experience of working with near-shore and offshore engineering centres A detailed knowledge of the Defense sector A developed understanding of project planning, budgeting and financial management. Experience with an SI is a plus, understanding the corresponding working processes. Expertise on 2 of 4 major ISV platforms (Siemens, PTC, Dassault Systems, AVEVA) is required Leading complex and high value engagements in a Delivery or Engineering role, through life, from pre-sales to closure You can bring your whole self to work. At Capgemini building an inclusive future is part of everyday life and will be part of your working reality. We have built a representative and welcoming environment, for everyone. Your skills and experience • Client and team focused • Sound problem solving, analytical and negotiating skills • Outstanding communicator (written and verbal) and networker • Excellent interpersonal skills and the ability to quickly build rapport with others • Self-motivated and able to use initiative • Organised, good time management and prioritisation • Methodical approach to work, with good attention to details and strong logic and reasoning skills Don't meet every single requirements? Studies have shown women and people of colour are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive and authentic workplace so if you're excited about this role but your past experience doesn't align perfectly with every requirement in the job description, we encourage you to apply anyway. To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements. Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality. Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process. What does 'Get The Future You Want ' mean for you? You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements. You'd be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy. You will reimagine what's possible: creating value for the world's leading organisations through technology to build a sustainable, more inclusive future. You will work with a range of clients all with a unique set of business, technological and societal ambitions, which will make a real impact across the UK. Why you should consider Capgemini Growing clients' businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you'll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what's possible. It's why, together, we seek out opportunities that will transform the world's leading businesses, and it's how you'll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you'll build the skills you want. You'll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is. About Capgemini Capgemini is a global business and technology transformation partner, helping organisations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. When you join Capgemini, you don't just start a new job. You become part of something bigger. Learn about how the recruitment process works - how to apply, where to follow your application, and next steps. To help you bring out the best of yourself during the interview process, we've got some great interview tips to share before the big day.
Jul 18, 2025
Full time
The world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. About the job you're considering We are looking for a IT/OT senior architect - Defense whose responsibility will be to promote and develop world-class Smart Factory solutions for our clients across the Defense sector. This individual should have experience of taking clients on their Smart Factory journey from demonstrating the need and value of Industry 4.0 solutions, supporting sales team, architecting solutions, leading engineering teams to deliver the right solutions. You will be a proven and energetic pre-sales leader and Smart Factory architect with a visible passion for the solutions we deliver, capable of inspiring our clients and our delivery teams and convincing others to support you to achieve your objectives. You will manage a team of IT/OT/IOT engineers, making sure your team is always on top of new technologies. Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time. If you are successfully offered this position, you will go through a series of pre-employment checks, including: identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service) Your Role Delivering on the promises we have made to our stakeholders requires a certain kind of leader, and our vision for leadership is based on 5 dimensions, designed to help us shape the way we work. Candidates will be required to explore these dimensions and demonstrate how they have employed aspects of them in the past, using concrete examples, and how they plan to incorporate them going forward in this new role. Work Experience 15+ years of experience of having handled different client organisations, business lines & environments. 15+ years of experience in engineering, with client facing experience in a solutions architecture, technical consulting, or presales engineering role Prior experience of architecting & developing smart factory solutions in business processes Platform level / major system Architect Deep understanding of product development, engineering, manufacturing, and supply chain processes Solid understanding the smart factory concepts, practices, and procedures. OEE, Assembly, Part, Bill of Materials, Workflow Process, Release to Manufacturing, Revise, Change Management, Product Structure, Process Management, Customization, Logistics, Supply Chain Demonstrable relationships with Senior Clients up to CXO Level Experience of working with near-shore and offshore engineering centres A detailed knowledge of the Defense sector A developed understanding of project planning, budgeting and financial management. Experience with an SI is a plus, understanding the corresponding working processes. Expertise on 2 of 4 major ISV platforms (Siemens, PTC, Dassault Systems, AVEVA) is required Leading complex and high value engagements in a Delivery or Engineering role, through life, from pre-sales to closure You can bring your whole self to work. At Capgemini building an inclusive future is part of everyday life and will be part of your working reality. We have built a representative and welcoming environment, for everyone. Your skills and experience • Client and team focused • Sound problem solving, analytical and negotiating skills • Outstanding communicator (written and verbal) and networker • Excellent interpersonal skills and the ability to quickly build rapport with others • Self-motivated and able to use initiative • Organised, good time management and prioritisation • Methodical approach to work, with good attention to details and strong logic and reasoning skills Don't meet every single requirements? Studies have shown women and people of colour are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive and authentic workplace so if you're excited about this role but your past experience doesn't align perfectly with every requirement in the job description, we encourage you to apply anyway. To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements. Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality. Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process. What does 'Get The Future You Want ' mean for you? You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements. You'd be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy. You will reimagine what's possible: creating value for the world's leading organisations through technology to build a sustainable, more inclusive future. You will work with a range of clients all with a unique set of business, technological and societal ambitions, which will make a real impact across the UK. Why you should consider Capgemini Growing clients' businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you'll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what's possible. It's why, together, we seek out opportunities that will transform the world's leading businesses, and it's how you'll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you'll build the skills you want. You'll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is. About Capgemini Capgemini is a global business and technology transformation partner, helping organisations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. When you join Capgemini, you don't just start a new job. You become part of something bigger. Learn about how the recruitment process works - how to apply, where to follow your application, and next steps. To help you bring out the best of yourself during the interview process, we've got some great interview tips to share before the big day.
Sand Technologies is a fast-growing enterprise AI company that solves real-world problems for large blue-chip companies and governments worldwide. We're pioneers of meaningful AI : our solutions go far beyond chatbots. We are using data and AI to solve the world's biggest issues in telecommunications, sustainable water management, energy, healthcare, climate change, smart cities, and other areas that have a real impact on the world. For example, our AI systems help to manage the water supply for the entire city of London. We created the AI algorithms that enabled the 7th largest telecommunications company in the world to plan its network in 300 cities in record time. And we built a digital healthcare system that enables 30m people in a country to get world-class healthcare despite a shortage of doctors. We've grown our revenues by over 500% in the last 12 months while winning prestigious scientific and industry awards for our cutting-edge technology. We're underpinned by over 300 engineers and scientists working across Africa, Europe, the UK and the US. ABOUT THE ROLE Sand Technologies focuses on cutting-edge cloud-based data projects, leveraging tools such as Databricks, DBT, Docker, Python, SQL, and PySpark to name a few. We work across a variety of data architectures such as Data Mesh, lakehouse, data vault and data warehouses. Our data engineers create pipelines that support our data scientists and power our front-end applications. This means we do data-intensive work for both OLTP and OLAP use cases. Our environments are primarily cloud-native spanning AWS, Azure and GCP, but we also work on systems running self-hosted open source services exclusively. We strive towards a strong code-first, data as a product mindset at all times, where testing and reliability with a keen eye on performance is a non-negotiable. JOB SUMMARY A Senior Data Engineer, has the primary role of designing, building, and maintaining scalable data pipelines and infrastructure to support data-intensive applications and analytics solutions. In this role, you will be responsible for not only developing data pipelines but also designing data architectures and overseeing data engineering projects. You will work closely with cross-functional teams and contribute to the strategic direction of our data initiatives. RESPONSIBILITIES Data Pipeline Development: Lead the design, implement, and maintain scalable data pipelines for ingesting, processing, and transforming large volumes of data from various sources using tools such as databricks, python and pyspark. Data Architecture: Architect scalable and efficient data solutions using the appropriate architecture design, opting for modern architectures where possible. Data Modeling: Design and optimize data models and schemas for efficient storage, retrieval, and analysis of structured and unstructured data. ETL Processes: Develop, optimize and automate ETL workflows to extract data from diverse sources, transform it into usable formats, and load it into data warehouses, data lakes or lakehouses. Big Data Technologies: Utilize big data technologies such as Spark, Kafka, and Flink for distributed data processing and analytics. Cloud Platforms: Deploy and manage data solutions on cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP), leveraging cloud-native services for data storage, processing, and analytics. Data Quality and Governance: Implement and oversee data governance, quality, and security measures. Monitoring, Optimization and Troubleshooting: Monitor data pipelines and infrastructure performance, identify bottlenecks and optimize for scalability, reliability, and cost-efficiency. Troubleshoot and fix data-related issues. DevOps: Build and maintain basic CI/CD pipelines, commit code to version control and deploy data solutions. Collaboration: Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand requirements, define data architectures, and deliver data-driven solutions. Documentation: Create and maintain technical documentation, including data architecture diagrams, ETL workflows, and system documentation, to facilitate understanding and maintainability of data solutions. Best Practices: Stay current with emerging technologies and best practices in data engineering, cloud architecture, and DevOps. Mentoring: Mentor and guide junior and mid-level data engineers. Technology Selection: Evaluate and recommend technologies, frameworks, and tools that best suit project requirements and architecture goals. Performance Optimization: Optimize software performance, scalability, and efficiency through architectural design decisions and performance tuning. QUALIFICATIONS Proven experience as a Senior Data Engineer, or in a similar role, with hands-on experience building and optimizing data pipelines and infrastructure, and designing data architectures. Proven experience working with Big Data and tools used to process Big Data Strong problem-solving and analytical skills with the ability to diagnose and resolve complex data-related issues. Excellent understanding of data engineering principles and practices. Excellent communication and collaboration skills to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders. Ability to adapt to new technologies, tools, and methodologies in a dynamic and fast-paced environment. Ability to write clean, scalable, robust code using python or similar programming languages. Background in software engineering a plus. Knowledge of data governance frameworks and practices. Understanding of machine learning workflows and how to support them with robust data pipelines. DESIRABLE LANGUAGES/TOOLS Proficiency in programming languages such as Python, Java, Scala, or SQL for data manipulation and scripting. Strong understanding of data modelling concepts and techniques, including relational and dimensional modelling. Experience in big data technologies and frameworks such as Databricks, Spark, Kafka, and Flink. Experience in using modern data architectures, such as lakehouse. Experience with CI/CD pipelines, version control systems like Git, and containerization (e.g., Docker). Experience with ETL tools and technologies such as Apache Airflow, Informatica, or Talend. Strong understanding of data governance and best practices in data management. Experience with cloud platforms and services such as AWS, Azure, or GCP for deploying and managing data solutions. Strong problem-solving and analytical skills with the ability to diagnose and resolve complex data-related issues. SQL (for database management and querying) Apache Spark (for distributed data processing) Apache Spark Streaming, Kafka or similar (for real-time data streaming) Experience using data tools in at least one cloud service - AWS, Azure or GCP (e.g. S3, EMR, Redshift, Glue, Azure Data Factory, Databricks, BigQuery, Dataflow, Dataproc) Would you like to join us as we work hard, have fun and make history? Apply for this job indicates a required field First Name Last Name Preferred First Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf What interests and excites you about joining Sand? Where are you currently located? What are your gross annual salary expectations (in USD)? Select When would you be able to join us? How did you hear about the role? Select If you selected other, Sand Staff or Media, please specify
Jul 18, 2025
Full time
Sand Technologies is a fast-growing enterprise AI company that solves real-world problems for large blue-chip companies and governments worldwide. We're pioneers of meaningful AI : our solutions go far beyond chatbots. We are using data and AI to solve the world's biggest issues in telecommunications, sustainable water management, energy, healthcare, climate change, smart cities, and other areas that have a real impact on the world. For example, our AI systems help to manage the water supply for the entire city of London. We created the AI algorithms that enabled the 7th largest telecommunications company in the world to plan its network in 300 cities in record time. And we built a digital healthcare system that enables 30m people in a country to get world-class healthcare despite a shortage of doctors. We've grown our revenues by over 500% in the last 12 months while winning prestigious scientific and industry awards for our cutting-edge technology. We're underpinned by over 300 engineers and scientists working across Africa, Europe, the UK and the US. ABOUT THE ROLE Sand Technologies focuses on cutting-edge cloud-based data projects, leveraging tools such as Databricks, DBT, Docker, Python, SQL, and PySpark to name a few. We work across a variety of data architectures such as Data Mesh, lakehouse, data vault and data warehouses. Our data engineers create pipelines that support our data scientists and power our front-end applications. This means we do data-intensive work for both OLTP and OLAP use cases. Our environments are primarily cloud-native spanning AWS, Azure and GCP, but we also work on systems running self-hosted open source services exclusively. We strive towards a strong code-first, data as a product mindset at all times, where testing and reliability with a keen eye on performance is a non-negotiable. JOB SUMMARY A Senior Data Engineer, has the primary role of designing, building, and maintaining scalable data pipelines and infrastructure to support data-intensive applications and analytics solutions. In this role, you will be responsible for not only developing data pipelines but also designing data architectures and overseeing data engineering projects. You will work closely with cross-functional teams and contribute to the strategic direction of our data initiatives. RESPONSIBILITIES Data Pipeline Development: Lead the design, implement, and maintain scalable data pipelines for ingesting, processing, and transforming large volumes of data from various sources using tools such as databricks, python and pyspark. Data Architecture: Architect scalable and efficient data solutions using the appropriate architecture design, opting for modern architectures where possible. Data Modeling: Design and optimize data models and schemas for efficient storage, retrieval, and analysis of structured and unstructured data. ETL Processes: Develop, optimize and automate ETL workflows to extract data from diverse sources, transform it into usable formats, and load it into data warehouses, data lakes or lakehouses. Big Data Technologies: Utilize big data technologies such as Spark, Kafka, and Flink for distributed data processing and analytics. Cloud Platforms: Deploy and manage data solutions on cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP), leveraging cloud-native services for data storage, processing, and analytics. Data Quality and Governance: Implement and oversee data governance, quality, and security measures. Monitoring, Optimization and Troubleshooting: Monitor data pipelines and infrastructure performance, identify bottlenecks and optimize for scalability, reliability, and cost-efficiency. Troubleshoot and fix data-related issues. DevOps: Build and maintain basic CI/CD pipelines, commit code to version control and deploy data solutions. Collaboration: Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand requirements, define data architectures, and deliver data-driven solutions. Documentation: Create and maintain technical documentation, including data architecture diagrams, ETL workflows, and system documentation, to facilitate understanding and maintainability of data solutions. Best Practices: Stay current with emerging technologies and best practices in data engineering, cloud architecture, and DevOps. Mentoring: Mentor and guide junior and mid-level data engineers. Technology Selection: Evaluate and recommend technologies, frameworks, and tools that best suit project requirements and architecture goals. Performance Optimization: Optimize software performance, scalability, and efficiency through architectural design decisions and performance tuning. QUALIFICATIONS Proven experience as a Senior Data Engineer, or in a similar role, with hands-on experience building and optimizing data pipelines and infrastructure, and designing data architectures. Proven experience working with Big Data and tools used to process Big Data Strong problem-solving and analytical skills with the ability to diagnose and resolve complex data-related issues. Excellent understanding of data engineering principles and practices. Excellent communication and collaboration skills to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders. Ability to adapt to new technologies, tools, and methodologies in a dynamic and fast-paced environment. Ability to write clean, scalable, robust code using python or similar programming languages. Background in software engineering a plus. Knowledge of data governance frameworks and practices. Understanding of machine learning workflows and how to support them with robust data pipelines. DESIRABLE LANGUAGES/TOOLS Proficiency in programming languages such as Python, Java, Scala, or SQL for data manipulation and scripting. Strong understanding of data modelling concepts and techniques, including relational and dimensional modelling. Experience in big data technologies and frameworks such as Databricks, Spark, Kafka, and Flink. Experience in using modern data architectures, such as lakehouse. Experience with CI/CD pipelines, version control systems like Git, and containerization (e.g., Docker). Experience with ETL tools and technologies such as Apache Airflow, Informatica, or Talend. Strong understanding of data governance and best practices in data management. Experience with cloud platforms and services such as AWS, Azure, or GCP for deploying and managing data solutions. Strong problem-solving and analytical skills with the ability to diagnose and resolve complex data-related issues. SQL (for database management and querying) Apache Spark (for distributed data processing) Apache Spark Streaming, Kafka or similar (for real-time data streaming) Experience using data tools in at least one cloud service - AWS, Azure or GCP (e.g. S3, EMR, Redshift, Glue, Azure Data Factory, Databricks, BigQuery, Dataflow, Dataproc) Would you like to join us as we work hard, have fun and make history? Apply for this job indicates a required field First Name Last Name Preferred First Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf What interests and excites you about joining Sand? Where are you currently located? What are your gross annual salary expectations (in USD)? Select When would you be able to join us? How did you hear about the role? 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Lead Analytics, ROW Supply Chain Analytics Amazon's Rest of the World (ROW) Supply Chain Analytics team is seeking an exceptional BIE to join our Delivery Speed Analytics function. In this role, you will be at the forefront of developing solutions that directly impact Amazon's delivery promise capabilities. You will collaborate with Supply Chain and Delivery Experience teams to optimize network speed and enhance customer experience. The role involves data analysis, statistics, machine learning, and usage of AWS services. We are looking for someone who thrives in a fast-paced environment, demonstrates strong project management capabilities, and excels at stakeholder communication. Your ability to understand complex business problems and translate them into analytical solutions will be crucial for success in this role. We conduct new analysis from ground up, proposing new concepts and technology to meet business needs, and need BIEs who enjoy and excel at diving into data to analyze root causes and implement long-term solutions. As a BIE within the group, you will work closely with program managers, software developers, research scientists, and product managers to analyze massive data sets, identify areas to improve, define metrics to measure and monitor programs, and most importantly work with different stakeholders to drive improvements over time. You will also work closely with internal business teams to extract or mine information from our existing systems to create new analysis, and expose data from our group to wider teams in intuitive ways. As a BIE embedded in the business team you have the opportunity to participate and shape program development as well as leverage your technical skills. This position provides opportunities to influence high visibility/high impact areas in the organization. This position requires superior analytical thinkers, able to quickly approach large ambiguous problems and apply your technical and engineering expertise to rapidly prototype and deliver solutions. This skill also requires you to work across a variety of teams, including transportation, operations, finance, category, delivery experience, and platform (software) teams. Successful candidates must thrive in fast-paced environments which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, extract and manipulate data across various data marts, and align research focuses on Amazon's strategic needs. Key job responsibilities 1.Converting data into digestible business intelligence and actionable information 2.Writing high quality SQL codes to retrieve and analyze data 3.Working with large data sets, automate data extraction, and build monitoring/reporting dashboard 4.Interacting with internal stakeholders to deep-dive outlier events 5.Analyze and solve business problems with focus on understanding root causes and driving forward-looking opportunities 6.Communicating complex analysis and insights to our stakeholders and business leaders, both verbally and in writing. 7.Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format 8.Should be open to learn and develop skillsets in the latest technologies and analytical techniques 9.You will perform complex data analysis (root cause deep dives, correlations, regressions, simulations, optimization) to identify different opportunities and set priorities to improve them 10. You will be a subject matter expert and understand intricate details of our fulfillment and ordering systems along with their impact on ground-level 11. You will engage with senior leadership on drafting proposals for new concepts, improvement plans, 3-year strategy and outlook. BASIC QUALIFICATIONS - 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONS - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets 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. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Jul 18, 2025
Full time
Lead Analytics, ROW Supply Chain Analytics Amazon's Rest of the World (ROW) Supply Chain Analytics team is seeking an exceptional BIE to join our Delivery Speed Analytics function. In this role, you will be at the forefront of developing solutions that directly impact Amazon's delivery promise capabilities. You will collaborate with Supply Chain and Delivery Experience teams to optimize network speed and enhance customer experience. The role involves data analysis, statistics, machine learning, and usage of AWS services. We are looking for someone who thrives in a fast-paced environment, demonstrates strong project management capabilities, and excels at stakeholder communication. Your ability to understand complex business problems and translate them into analytical solutions will be crucial for success in this role. We conduct new analysis from ground up, proposing new concepts and technology to meet business needs, and need BIEs who enjoy and excel at diving into data to analyze root causes and implement long-term solutions. As a BIE within the group, you will work closely with program managers, software developers, research scientists, and product managers to analyze massive data sets, identify areas to improve, define metrics to measure and monitor programs, and most importantly work with different stakeholders to drive improvements over time. You will also work closely with internal business teams to extract or mine information from our existing systems to create new analysis, and expose data from our group to wider teams in intuitive ways. As a BIE embedded in the business team you have the opportunity to participate and shape program development as well as leverage your technical skills. This position provides opportunities to influence high visibility/high impact areas in the organization. This position requires superior analytical thinkers, able to quickly approach large ambiguous problems and apply your technical and engineering expertise to rapidly prototype and deliver solutions. This skill also requires you to work across a variety of teams, including transportation, operations, finance, category, delivery experience, and platform (software) teams. Successful candidates must thrive in fast-paced environments which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, extract and manipulate data across various data marts, and align research focuses on Amazon's strategic needs. Key job responsibilities 1.Converting data into digestible business intelligence and actionable information 2.Writing high quality SQL codes to retrieve and analyze data 3.Working with large data sets, automate data extraction, and build monitoring/reporting dashboard 4.Interacting with internal stakeholders to deep-dive outlier events 5.Analyze and solve business problems with focus on understanding root causes and driving forward-looking opportunities 6.Communicating complex analysis and insights to our stakeholders and business leaders, both verbally and in writing. 7.Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format 8.Should be open to learn and develop skillsets in the latest technologies and analytical techniques 9.You will perform complex data analysis (root cause deep dives, correlations, regressions, simulations, optimization) to identify different opportunities and set priorities to improve them 10. You will be a subject matter expert and understand intricate details of our fulfillment and ordering systems along with their impact on ground-level 11. You will engage with senior leadership on drafting proposals for new concepts, improvement plans, 3-year strategy and outlook. BASIC QUALIFICATIONS - 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONS - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets 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. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Data Scientist- Data Scientist - Journey Optimisation page is loaded Data Scientist- Data Scientist - Journey Optimisation Apply locations London time type Full time posted on Posted 8 Days Ago time left to apply End Date: June 27, 2025 (7 days left to apply) job requisition id JR0024 What will you be doing day-to-day? Use sophisticated statistical and machine learning techniques to identify new trends and relationships in data. Harvest, wrangle and prototype new data sources internally and external to NewDay to create new value for NewDay and our customers. Provide quality and detailed data science outputs, sharing and following up with as much detail as appropriate or requested by senior managers. Develop knowledge of all relevant data resources within NewDay and in the wider Credit Industry. Governance: support the models throughout their lifecycle from conception, development, implementation, testing and monitoring, with the required level of documentation to follow internal procedures and standards. Your Skills and Experience ESSENTIAL At least a BSc or higher university degree in a data science related field (e.g. machine learning, statistics, mathematics) Proficiency in statistical data modelling techniques. Proficiency with Python, including experience with statistics/machine learning packages such as scikit-learn, pandas, numpy, etc. Good SQL/data manipulation skills required including cleaning and managing data. Experience in data visualisation and communication. Experience with working with raw datasets and perform data wrangling pre-modelling. Analytical and problem-solving skills. DESIRABLE MSc or PhD in Data Science related field (e.g. Machine Learning, Statistics, Mathematics) Experience within a regulated financial services organization. Ability to present sophisticated findings clearly, adapting the level of detail to the audience. Experience in supporting model deployment and working with DevOps/Implementation teams. Your Personal Attributes Self-motivated, comfortable working in a fast-paced environment where priorities evolve. Honest and hardworking with a will to learn as well as develop others. Strong sense of accountability and ownership, with great organizational, planning and time management skills. Passionate about modelling and techniques to drive value from data. Personable with excellent interpersonal & written communication skills. Ability to build strong and effective working relationships with people across all levels of the organisation. Ability to embrace company culture and embed into day-to-day interactions. Great team spirit, supporting team and colleagues on tasks big and small. We work with Textio to make our job design and hiring inclusive. Permanent About Us We help people move forward with credit and help our colleagues to move their careers forward too. Through innovative consumer credit and embedded finance products powered by groundbreaking technology, we deliver over 300 million transactions every year. Our brands include Aqua, Marbles, Fluid, Bip and NewPay. We partner with leading brands such as AO, Argos, Boohoo, John Lewis andLloydsBank. Over 5 million UK customers are supported by our award-winning customer service.
Jul 18, 2025
Full time
Data Scientist- Data Scientist - Journey Optimisation page is loaded Data Scientist- Data Scientist - Journey Optimisation Apply locations London time type Full time posted on Posted 8 Days Ago time left to apply End Date: June 27, 2025 (7 days left to apply) job requisition id JR0024 What will you be doing day-to-day? Use sophisticated statistical and machine learning techniques to identify new trends and relationships in data. Harvest, wrangle and prototype new data sources internally and external to NewDay to create new value for NewDay and our customers. Provide quality and detailed data science outputs, sharing and following up with as much detail as appropriate or requested by senior managers. Develop knowledge of all relevant data resources within NewDay and in the wider Credit Industry. Governance: support the models throughout their lifecycle from conception, development, implementation, testing and monitoring, with the required level of documentation to follow internal procedures and standards. Your Skills and Experience ESSENTIAL At least a BSc or higher university degree in a data science related field (e.g. machine learning, statistics, mathematics) Proficiency in statistical data modelling techniques. Proficiency with Python, including experience with statistics/machine learning packages such as scikit-learn, pandas, numpy, etc. Good SQL/data manipulation skills required including cleaning and managing data. Experience in data visualisation and communication. Experience with working with raw datasets and perform data wrangling pre-modelling. Analytical and problem-solving skills. DESIRABLE MSc or PhD in Data Science related field (e.g. Machine Learning, Statistics, Mathematics) Experience within a regulated financial services organization. Ability to present sophisticated findings clearly, adapting the level of detail to the audience. Experience in supporting model deployment and working with DevOps/Implementation teams. Your Personal Attributes Self-motivated, comfortable working in a fast-paced environment where priorities evolve. Honest and hardworking with a will to learn as well as develop others. Strong sense of accountability and ownership, with great organizational, planning and time management skills. Passionate about modelling and techniques to drive value from data. Personable with excellent interpersonal & written communication skills. Ability to build strong and effective working relationships with people across all levels of the organisation. Ability to embrace company culture and embed into day-to-day interactions. Great team spirit, supporting team and colleagues on tasks big and small. We work with Textio to make our job design and hiring inclusive. Permanent About Us We help people move forward with credit and help our colleagues to move their careers forward too. Through innovative consumer credit and embedded finance products powered by groundbreaking technology, we deliver over 300 million transactions every year. Our brands include Aqua, Marbles, Fluid, Bip and NewPay. We partner with leading brands such as AO, Argos, Boohoo, John Lewis andLloydsBank. Over 5 million UK customers are supported by our award-winning customer service.
We are looking for a Senior Data Scientist whoenjoys seeing their work used as part of 'real-life' solutions. Not only will your work directly contribute to our client deliverables, but you will have the opportunity to see the process through from solution design to deployment, working in close collaboration with our wider team of Data Engineers and Data Analysts. In short, you'll form an integral part of our close-knit team and will have the opportunity to directly contribute to the continued success of the business. We're looking for someone with a co-operative, can-do attitude who can build high-quality data science solutions. If this sounds like you, we can't wait to hear from you! KEY RESPONSIBILITIES: Actively contribute to the design, development, testing, and evaluation of data science solutions Train and deploy state-of-the-art machine learning and reinforcement learning models Build AI systems using Large Language Models Build processes for extracting, cleaning and transforming data (SQL / Python) Ad-hoc data mining for insights using Python + Jupyter notebooks Present insights and predictions in live dashboards using Tableau / PowerBI Lead the presentation of findings to clients through written documentation, calls and presentations Actively seek out new opportunities to learn and develop Be an example of data science best-practice (e.g. Git / Docker / cloud deployment) Contribute to proposals for exciting new data science opportunities Provide direction and mentoring to more junior data scientists REQUIRED SKILLS: Degree in a quantitative field such as mathematics, statistics or data science (PhD in physics highly desirable) Experience of presenting technical concepts to stakeholders Experience of proactively contributing to the design, development, testing, and deployment of data science and AI solutions Experience and understanding of applied machine learning techniques in Python (e.g. xgboost, regression, decision trees) Experience with computational simulation/modelling highly desirable Practical knowledge and experience of developing AI solutions using advanced machine learning techniques (e.g. reinforcement learning, deep learning) Experience of working collaboratively as part of a data science team, using tools like Git to adhere to established data science and AI best practices Experience of using different analysis techniques to draw insight from data, using tools such as Python and SQL Excellent Python, including relevant libraries for data analysis and machine learning (e.g. sklearn, Pandas, NumPy) and at least one deep learning framework Excellent communication skills through written reports and presentations Organisational skills (e.g. planning, time management) Strong problem-solving and analytical skills High attention to detail Ability to work independently and as part of a team INTERVIEW PROCESS: Stage 1: 20 min video call with the Hiring Manager Stage 2: 90 min F2F interview including technical exercise, in our London office OUR COMMITTMENT TODEI: At ADSP, we are committed to fostering an inclusive hiring process and believe in creating an environment where all candidates have equal opportunities to succeed. If you require any reasonable adjustments during the application or interview process, please do not hesitate to reach out to us at
Jul 18, 2025
Full time
We are looking for a Senior Data Scientist whoenjoys seeing their work used as part of 'real-life' solutions. Not only will your work directly contribute to our client deliverables, but you will have the opportunity to see the process through from solution design to deployment, working in close collaboration with our wider team of Data Engineers and Data Analysts. In short, you'll form an integral part of our close-knit team and will have the opportunity to directly contribute to the continued success of the business. We're looking for someone with a co-operative, can-do attitude who can build high-quality data science solutions. If this sounds like you, we can't wait to hear from you! KEY RESPONSIBILITIES: Actively contribute to the design, development, testing, and evaluation of data science solutions Train and deploy state-of-the-art machine learning and reinforcement learning models Build AI systems using Large Language Models Build processes for extracting, cleaning and transforming data (SQL / Python) Ad-hoc data mining for insights using Python + Jupyter notebooks Present insights and predictions in live dashboards using Tableau / PowerBI Lead the presentation of findings to clients through written documentation, calls and presentations Actively seek out new opportunities to learn and develop Be an example of data science best-practice (e.g. Git / Docker / cloud deployment) Contribute to proposals for exciting new data science opportunities Provide direction and mentoring to more junior data scientists REQUIRED SKILLS: Degree in a quantitative field such as mathematics, statistics or data science (PhD in physics highly desirable) Experience of presenting technical concepts to stakeholders Experience of proactively contributing to the design, development, testing, and deployment of data science and AI solutions Experience and understanding of applied machine learning techniques in Python (e.g. xgboost, regression, decision trees) Experience with computational simulation/modelling highly desirable Practical knowledge and experience of developing AI solutions using advanced machine learning techniques (e.g. reinforcement learning, deep learning) Experience of working collaboratively as part of a data science team, using tools like Git to adhere to established data science and AI best practices Experience of using different analysis techniques to draw insight from data, using tools such as Python and SQL Excellent Python, including relevant libraries for data analysis and machine learning (e.g. sklearn, Pandas, NumPy) and at least one deep learning framework Excellent communication skills through written reports and presentations Organisational skills (e.g. planning, time management) Strong problem-solving and analytical skills High attention to detail Ability to work independently and as part of a team INTERVIEW PROCESS: Stage 1: 20 min video call with the Hiring Manager Stage 2: 90 min F2F interview including technical exercise, in our London office OUR COMMITTMENT TODEI: At ADSP, we are committed to fostering an inclusive hiring process and believe in creating an environment where all candidates have equal opportunities to succeed. If you require any reasonable adjustments during the application or interview process, please do not hesitate to reach out to us at
Mars, Incorporated and its Affiliates
Slough, Berkshire
Job Description: Location: Slough, United Kingdom Work mode: Hybrid (at least 2 days per week in the office) Salary: £57,000 - 65,000, annual bonus, benefits Overview: The Consumer Insights Senior Scientist plays a key role in translating consumer insights into impactful product, packaging, and innovation strategies. This role integrates scientific expertise with creativity to shape consumer experiences, collaborating with R&D, marketing, and consumer insights teams to drive business growth and differentiation. What Will Be Your Key Responsibilities: Sensory & Consumer Research: Extensive experience in independently designing, executing, analyzing, and translating sensory and consumer research learnings into actionable insights for product and packaging innovation. Apply advanced qualitative and quantitative methodologies beyond traditional approaches to solve complex research challenges. Strong articulation and storytelling skills to integrate information into cohesive narratives with conviction and credibility. Strategic Business Influence: Partnered with cross-functional teams to integrate sensory insights into product narratives, identify market opportunities, and develop claims strategies. Guide competitive differentiation and innovation pipelines. Strong business acumen, understanding of the competitive landscape and trends, consumer empathy, and communication skills to create winning consumer experiences. Cross-Functional Collaboration: Act as a bridge between sensory consumer research, brand strategy, and product development to ensure that consumer insights drive decision-making. Build strong relationships with internal teams and external market research partners. Technology & Program Development: Independently led research initiatives to assess product modifications, product/ packaging innovation, and claims validation. Conduct testing to evaluate consumer response and ensure products meet market expectations . Adaptability in navigating ambiguous, complex, and evolving project scopes with a balanced mix of analytical and creative thinking, addressing novel challenges with confidence. Capability Development & Leadership: Provide mentorship to junior researchers, interns, and panel leaders. Offer sensory training programs to enhance R&D and cross-functional teams' understanding of product taste and quality. What We Are Looking For: Bachelor's degree in Marketing, Business, Food Science, Psychology, Statistics, or a related field (Master's preferred). Extensive experience (around 7+ years) in consumer and market research (or 4+ years with a Master's degree) within market research or CPG industries. Expertise in research methodologies, experimental design, data analysis, and interpretation. Strong analytical, problem-solving, and storytelling skills to translate insights into business strategies. Experience with Proficiency in Design Thinking and consumer-centric innovation approaches. Strong leadership, facilitation, influencing, communication, and cross-functional collaboration skills. Passion for fostering an inclusive and diverse culture within global R&D teams. Proven track record of leveraging consumer insights to drive strategic decisions across brand positioning, portfolio architecture, and long-term innovation pipelines, not limited to technical product enhancements. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose-driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry-competitive salary and benefits package, including a company bonus. Mars is committed to providing access, equal opportunity, and reasonable adjustments for individuals with disabilities, long-term health conditions, or neurodiversity during the application and recruitment process. To request reasonable adjustments, complete our Reasonable Adjustment Request Form here Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
Jul 18, 2025
Full time
Job Description: Location: Slough, United Kingdom Work mode: Hybrid (at least 2 days per week in the office) Salary: £57,000 - 65,000, annual bonus, benefits Overview: The Consumer Insights Senior Scientist plays a key role in translating consumer insights into impactful product, packaging, and innovation strategies. This role integrates scientific expertise with creativity to shape consumer experiences, collaborating with R&D, marketing, and consumer insights teams to drive business growth and differentiation. What Will Be Your Key Responsibilities: Sensory & Consumer Research: Extensive experience in independently designing, executing, analyzing, and translating sensory and consumer research learnings into actionable insights for product and packaging innovation. Apply advanced qualitative and quantitative methodologies beyond traditional approaches to solve complex research challenges. Strong articulation and storytelling skills to integrate information into cohesive narratives with conviction and credibility. Strategic Business Influence: Partnered with cross-functional teams to integrate sensory insights into product narratives, identify market opportunities, and develop claims strategies. Guide competitive differentiation and innovation pipelines. Strong business acumen, understanding of the competitive landscape and trends, consumer empathy, and communication skills to create winning consumer experiences. Cross-Functional Collaboration: Act as a bridge between sensory consumer research, brand strategy, and product development to ensure that consumer insights drive decision-making. Build strong relationships with internal teams and external market research partners. Technology & Program Development: Independently led research initiatives to assess product modifications, product/ packaging innovation, and claims validation. Conduct testing to evaluate consumer response and ensure products meet market expectations . Adaptability in navigating ambiguous, complex, and evolving project scopes with a balanced mix of analytical and creative thinking, addressing novel challenges with confidence. Capability Development & Leadership: Provide mentorship to junior researchers, interns, and panel leaders. Offer sensory training programs to enhance R&D and cross-functional teams' understanding of product taste and quality. What We Are Looking For: Bachelor's degree in Marketing, Business, Food Science, Psychology, Statistics, or a related field (Master's preferred). Extensive experience (around 7+ years) in consumer and market research (or 4+ years with a Master's degree) within market research or CPG industries. Expertise in research methodologies, experimental design, data analysis, and interpretation. Strong analytical, problem-solving, and storytelling skills to translate insights into business strategies. Experience with Proficiency in Design Thinking and consumer-centric innovation approaches. Strong leadership, facilitation, influencing, communication, and cross-functional collaboration skills. Passion for fostering an inclusive and diverse culture within global R&D teams. Proven track record of leveraging consumer insights to drive strategic decisions across brand positioning, portfolio architecture, and long-term innovation pipelines, not limited to technical product enhancements. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a purpose-driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry-competitive salary and benefits package, including a company bonus. Mars is committed to providing access, equal opportunity, and reasonable adjustments for individuals with disabilities, long-term health conditions, or neurodiversity during the application and recruitment process. To request reasonable adjustments, complete our Reasonable Adjustment Request Form here Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
Vice President - Compliance Engineering - Full Stack Software Engineer YOUR IMPACT Developing mission-critical, high-quality software solutions, using cutting-edge technology, in a dynamic environment OUR IMPACT We are Compliance Engineering, a global team of more than 400 engineers and scientists working on complex, mission-critical problems. We: Build and operate platforms and applications to prevent, detect, and mitigate regulatory and reputational risk across the firm. Access the latest technology and process vast amounts of structured and unstructured data-processing approximately 1 billion trade records and 5 billion market data records daily. Leverage modern frameworks to build responsive, intuitive front-end and Big Data applications. The firm is investing significantly in upgrading and rebuilding the Compliance application portfolio in 2025 and beyond. As part of this initiative, we are establishing a new Compliance Engineering team in Birmingham. This role offers a unique opportunity to be part of this exciting new team and influence its vision. With leadership based in Birmingham and the UK, this role involves collaboration with senior management and strategic planning. To support these efforts, Compliance Engineering is seeking to fill several full-stack lead roles across different teams. HOW YOU WILL FULFILL YOUR POTENTIAL As a team member, you will: Partner globally with sponsors, users, and engineering colleagues across divisions to create end-to-end solutions. Learn from experts and mentor junior team members. Leverage full-stack technologies including Java, JavaScript, TypeScript, React, APIs, MongoDB, Elastic Search, DMN, BPMN, and Kubernetes. Utilize data-streaming technologies such as Kafka CDC, Kafka topics, EMS, and Apache Flink. Innovate and incubate new ideas. Work on a broad range of problems involving large data sets, real-time processing, messaging, workflows, and UI/UX. Drive the full software development lifecycle from design to deployment and maintenance. QUALIFICATIONS The ideal candidate will have: A Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field. At least 5 years of experience in Java development. Experience in automated testing and SDLC concepts. Strong goal-oriented mindset with attention to detail. Excellent communication and documentation skills. Strong analytical and problem-solving skills. Experience working with global teams and being a team player. Self-motivation with excellent time management and organizational skills. ABOUT GOLDMAN SACHS Goldman Sachs is a leading global investment banking, securities, and investment management firm providing a wide range of financial services to a diversified client base, including corporations, financial institutions, governments, and individuals. Founded in 1869 and headquartered in New York, the firm maintains offices worldwide. We are committed to fostering diversity and inclusion, offering extensive professional and personal growth opportunities, and supporting our employees through various programs and benefits. Learn more at . We are dedicated to providing reasonable accommodations for candidates with disabilities during the recruitment process. More information is available at disability statement . The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate based on race, color, religion, sex, national origin, age, veteran status, disability, or any other protected characteristic.
Jul 18, 2025
Full time
Vice President - Compliance Engineering - Full Stack Software Engineer YOUR IMPACT Developing mission-critical, high-quality software solutions, using cutting-edge technology, in a dynamic environment OUR IMPACT We are Compliance Engineering, a global team of more than 400 engineers and scientists working on complex, mission-critical problems. We: Build and operate platforms and applications to prevent, detect, and mitigate regulatory and reputational risk across the firm. Access the latest technology and process vast amounts of structured and unstructured data-processing approximately 1 billion trade records and 5 billion market data records daily. Leverage modern frameworks to build responsive, intuitive front-end and Big Data applications. The firm is investing significantly in upgrading and rebuilding the Compliance application portfolio in 2025 and beyond. As part of this initiative, we are establishing a new Compliance Engineering team in Birmingham. This role offers a unique opportunity to be part of this exciting new team and influence its vision. With leadership based in Birmingham and the UK, this role involves collaboration with senior management and strategic planning. To support these efforts, Compliance Engineering is seeking to fill several full-stack lead roles across different teams. HOW YOU WILL FULFILL YOUR POTENTIAL As a team member, you will: Partner globally with sponsors, users, and engineering colleagues across divisions to create end-to-end solutions. Learn from experts and mentor junior team members. Leverage full-stack technologies including Java, JavaScript, TypeScript, React, APIs, MongoDB, Elastic Search, DMN, BPMN, and Kubernetes. Utilize data-streaming technologies such as Kafka CDC, Kafka topics, EMS, and Apache Flink. Innovate and incubate new ideas. Work on a broad range of problems involving large data sets, real-time processing, messaging, workflows, and UI/UX. Drive the full software development lifecycle from design to deployment and maintenance. QUALIFICATIONS The ideal candidate will have: A Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field. At least 5 years of experience in Java development. Experience in automated testing and SDLC concepts. Strong goal-oriented mindset with attention to detail. Excellent communication and documentation skills. Strong analytical and problem-solving skills. Experience working with global teams and being a team player. Self-motivation with excellent time management and organizational skills. ABOUT GOLDMAN SACHS Goldman Sachs is a leading global investment banking, securities, and investment management firm providing a wide range of financial services to a diversified client base, including corporations, financial institutions, governments, and individuals. Founded in 1869 and headquartered in New York, the firm maintains offices worldwide. We are committed to fostering diversity and inclusion, offering extensive professional and personal growth opportunities, and supporting our employees through various programs and benefits. Learn more at . We are dedicated to providing reasonable accommodations for candidates with disabilities during the recruitment process. More information is available at disability statement . The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate based on race, color, religion, sex, national origin, age, veteran status, disability, or any other protected characteristic.
Are you ready to rethink your routine? We are looking for a Head of Technical Delivery to join our NPD team. Reporting into our Chief Innovation Officer, you will lead the technical delivery of new cosmetic products. This position will be responsible for managing a small technical team and leading the technical delivery of new products (NPD) including formulation development and the substantiation of our product claims and the maintenance and compliance of our existing portfolio (EPD). You will build strong relationships and work closely with external development laboratories and 3rd party vendors and oversee the formula development across Skincare and Makeup, lead the technical troubleshooting and resolution of issues, ensuring Trinny London products meet the highest technical and quality standards. The role will be part of the Senior Leadership team within NPD & Operations and you will work closely with all key functions to deliver our fast paced and complex programme of launches. Welcome to Trinny London! Here at Trinny London, we're changing the face of makeup and demystifying skincare, and we're only just getting started. Founded in 2017 by Trinny Woodall, Trinny London is challenging people all over the world to rethink their routines. We have achieved tremendous growth since 2017 and we're proud to be one of Europe's fastest-growing beauty brands. We're generating millions of sales by developing innovative products, acquiring hundreds of thousands of supporters and customers all over the world, and more importantly, building a talented and motivated team to support our fantastic growth. Our Values We live by three core values: we bring fearless passion, we act with smart intent and we all wear yellow. We always go the extra mile, working together to push boundaries and celebrate our wins and learnings as a team. We listen to every idea, big or small, and make considered decisions. We support each other to achieve our goals and thrive on collaboration. The Role Your daily to-dos might look like this: Technical Product Leadership: Oversee the technical delivery of new cosmetic products (NPD) and ensure the ongoing compliance and maintenance of existing products (EPD) in both skincare and makeup categories. This includes managing the entire product lifecycle from formulation to market launch, ensuring adherence to quality and safety standards. Team Management: Lead and develop a team of technical chemists and scientists, providing guidance on formulation development and product claim substantiation. Issue Resolution: Identify, troubleshoot, and resolve technical challenges related to product development and existing product portfolios. Regulatory Compliance: Ensure all products meet the necessary regulatory requirements for all relevant markets and sales channels, and implement strategies for continuous portfolio compliance. Stakeholder Collaboration: Cultivate strong relationships with both internal teams (e.g., NPD, Packaging, Product Integrity, Operations) and external partners (e.g., development laboratories, third-party vendors). Budget Management: Manage the technical budget for relevant cost centers and approve invoices. Policy and Procedure Development: Collaborate with Regulatory and Packaging teams to establish and maintain robust technical policies, supplier requirements, and testing procedures. Product Brief Development: Work with internal and external stakeholders to define and translate the technical specifications of product briefs for third-party laboratories and vendors. Supplier Evaluation: Provide technical input for the selection and evaluation of third-party suppliers. Formula and Raw Material Approval: Ensure timely approval of all formulas and raw materials, verifying compliance with market regulations and internal technical policies. Manufacturing Oversight: Oversee the successful scale-up of products, manage troubleshooting during this phase, and confirm products are suitable for manufacture. Quality Assurance & Testing: Establish and implement appropriate testing requirements for all products, setting quality assurance standards in conjunction with quality, packaging, and NPD teams. Final Approvals: Provide final sign-off on formula and claims testing for Gate 3 approvals, ensuring final specifications and quality standards are met. Technical Administration: Maintain accurate and up-to-date technical product administration. Raw Material Compliance: Ensure compliance of raw materials with company blacklists and market regulations. Product Safety & Cosmetovigilance: Act as the guardian of product safety and monitor cosmetovigilance activities. Technical Storytelling: Support the NPD team in crafting compelling technical product stories. Audit Participation: Participate in and arrange technical accredited audits where necessary. These skills will help you go far in this role: A scientific degree (cosmetic or pharmaceutical science) or in a fundamental science (chemistry, biology or biochemistry) Significant, demonstrable experience in skincare and makeup technical development Strong project management experience Experience in scale-up, manufacturing and stability Strong interpersonal skills, ability to develop relationships and communicate with all levels of management. Strong analytical skills, proactive approach to anticipate issues and provide solutions Impeccable communication skills, both verbal and written with a high level of creativity and attention to detail Speed to market and able to work in a fast paced, start-up work environment Results oriented, excellent ability to utilize and manage the organization's resources to achieve goals We always love to hear from anybody interested in the Trinny London team! Although we are looking for the essential skills listed above for this role, we're always keen to hear from ambitious individuals looking for their next challenge. Our mission is to give our customers the tools they need to be their best. And the same goes for our team through our benefits: Hybrid and flexible working, with core working hours 25 days holiday (we're also partial to a handful of spontaneous and well-earned Wellbeing Days throughout the year, as well as Early Finish Fridays and Summer Fridays) Welcome to Trinny London Starter Stack and swag Your Beauty Wallet:You'll receive a £500 annual product allowance to explore and enjoy our full range of Trinny London products Company discount for yourself, your friends, and family Vitality health scheme, EAP and Medicash (including dental, optical & audiological care) An annual personal training and development budget Enhanced family friendly packages Pension scheme Cycle to work scheme T-Parties = many office socials as well as summer and festive celebrations! Rewards and Recognition Scheme (awarding length of service with gifts, vouchers and additional annual leave) Equal Opportunities We celebrate diversity in our customers, our products, and the teams we build. We champion inclusivity and want everyone to be the best versions of themselves. We're committed to equal opportunities and welcome people from all backgrounds, with their unique perspectives, ideas and experiences.
Jul 18, 2025
Full time
Are you ready to rethink your routine? We are looking for a Head of Technical Delivery to join our NPD team. Reporting into our Chief Innovation Officer, you will lead the technical delivery of new cosmetic products. This position will be responsible for managing a small technical team and leading the technical delivery of new products (NPD) including formulation development and the substantiation of our product claims and the maintenance and compliance of our existing portfolio (EPD). You will build strong relationships and work closely with external development laboratories and 3rd party vendors and oversee the formula development across Skincare and Makeup, lead the technical troubleshooting and resolution of issues, ensuring Trinny London products meet the highest technical and quality standards. The role will be part of the Senior Leadership team within NPD & Operations and you will work closely with all key functions to deliver our fast paced and complex programme of launches. Welcome to Trinny London! Here at Trinny London, we're changing the face of makeup and demystifying skincare, and we're only just getting started. Founded in 2017 by Trinny Woodall, Trinny London is challenging people all over the world to rethink their routines. We have achieved tremendous growth since 2017 and we're proud to be one of Europe's fastest-growing beauty brands. We're generating millions of sales by developing innovative products, acquiring hundreds of thousands of supporters and customers all over the world, and more importantly, building a talented and motivated team to support our fantastic growth. Our Values We live by three core values: we bring fearless passion, we act with smart intent and we all wear yellow. We always go the extra mile, working together to push boundaries and celebrate our wins and learnings as a team. We listen to every idea, big or small, and make considered decisions. We support each other to achieve our goals and thrive on collaboration. The Role Your daily to-dos might look like this: Technical Product Leadership: Oversee the technical delivery of new cosmetic products (NPD) and ensure the ongoing compliance and maintenance of existing products (EPD) in both skincare and makeup categories. This includes managing the entire product lifecycle from formulation to market launch, ensuring adherence to quality and safety standards. Team Management: Lead and develop a team of technical chemists and scientists, providing guidance on formulation development and product claim substantiation. Issue Resolution: Identify, troubleshoot, and resolve technical challenges related to product development and existing product portfolios. Regulatory Compliance: Ensure all products meet the necessary regulatory requirements for all relevant markets and sales channels, and implement strategies for continuous portfolio compliance. Stakeholder Collaboration: Cultivate strong relationships with both internal teams (e.g., NPD, Packaging, Product Integrity, Operations) and external partners (e.g., development laboratories, third-party vendors). Budget Management: Manage the technical budget for relevant cost centers and approve invoices. Policy and Procedure Development: Collaborate with Regulatory and Packaging teams to establish and maintain robust technical policies, supplier requirements, and testing procedures. Product Brief Development: Work with internal and external stakeholders to define and translate the technical specifications of product briefs for third-party laboratories and vendors. Supplier Evaluation: Provide technical input for the selection and evaluation of third-party suppliers. Formula and Raw Material Approval: Ensure timely approval of all formulas and raw materials, verifying compliance with market regulations and internal technical policies. Manufacturing Oversight: Oversee the successful scale-up of products, manage troubleshooting during this phase, and confirm products are suitable for manufacture. Quality Assurance & Testing: Establish and implement appropriate testing requirements for all products, setting quality assurance standards in conjunction with quality, packaging, and NPD teams. Final Approvals: Provide final sign-off on formula and claims testing for Gate 3 approvals, ensuring final specifications and quality standards are met. Technical Administration: Maintain accurate and up-to-date technical product administration. Raw Material Compliance: Ensure compliance of raw materials with company blacklists and market regulations. Product Safety & Cosmetovigilance: Act as the guardian of product safety and monitor cosmetovigilance activities. Technical Storytelling: Support the NPD team in crafting compelling technical product stories. Audit Participation: Participate in and arrange technical accredited audits where necessary. These skills will help you go far in this role: A scientific degree (cosmetic or pharmaceutical science) or in a fundamental science (chemistry, biology or biochemistry) Significant, demonstrable experience in skincare and makeup technical development Strong project management experience Experience in scale-up, manufacturing and stability Strong interpersonal skills, ability to develop relationships and communicate with all levels of management. Strong analytical skills, proactive approach to anticipate issues and provide solutions Impeccable communication skills, both verbal and written with a high level of creativity and attention to detail Speed to market and able to work in a fast paced, start-up work environment Results oriented, excellent ability to utilize and manage the organization's resources to achieve goals We always love to hear from anybody interested in the Trinny London team! Although we are looking for the essential skills listed above for this role, we're always keen to hear from ambitious individuals looking for their next challenge. Our mission is to give our customers the tools they need to be their best. And the same goes for our team through our benefits: Hybrid and flexible working, with core working hours 25 days holiday (we're also partial to a handful of spontaneous and well-earned Wellbeing Days throughout the year, as well as Early Finish Fridays and Summer Fridays) Welcome to Trinny London Starter Stack and swag Your Beauty Wallet:You'll receive a £500 annual product allowance to explore and enjoy our full range of Trinny London products Company discount for yourself, your friends, and family Vitality health scheme, EAP and Medicash (including dental, optical & audiological care) An annual personal training and development budget Enhanced family friendly packages Pension scheme Cycle to work scheme T-Parties = many office socials as well as summer and festive celebrations! Rewards and Recognition Scheme (awarding length of service with gifts, vouchers and additional annual leave) Equal Opportunities We celebrate diversity in our customers, our products, and the teams we build. We champion inclusivity and want everyone to be the best versions of themselves. We're committed to equal opportunities and welcome people from all backgrounds, with their unique perspectives, ideas and experiences.
Ind & Func AI Decision Science Manager Senior Level Full time Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team: The Data and AI revolution is changing everything. It's everywhere - transforming how we work and play. Join Accenture and help transform leading organisations and communities around the world. Accenture is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance. Accenture's Data & AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture's broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job. In our team you will learn: At the forefront of the industry, you'll create, own and make it a reality for clients looking to better serve their connected customers and operate always-on enterprises. Become an integral part of our Applied Intelligence team with the credibility, expertise and insight clients depend on. You will be working with famous brands and household names - no worrying about how to explain what you do to your family again! In this role you will: Lead, motivate and inspire teams of Data Scientists Create bespokemachine learningsolutions to model/solve problemsandto help develop the team Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics Understand business requirementsand support the development of business cases Run discovery analytics to identify new and innovative opportunities Partner with developers and engineers to deploy, embed and scalemachine learning modelsto delivercomplex/critical projects Devise reusable assets, solutions and develop bestpracticesfor current and future business problems Lead analytical discussions and influence analytical direction ofclient'steams Communicate and provide guidance to senior client leadership and teams Contribute data science expertise to new sales activities We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languageseg.Python, R, Scala, etc.(Python preferred) Strong proficiency in database technologieseg.SQL, ETL, No-SQL, DW, and Big Data technologieseg.pySpark, Hive, etc. Experienced working with structured and also unstructured dataeg.Text, PDFs, jpgs, call recordings, video,etc. Knowledge of machine learning modelling techniquesand how to fine-tunethosemodelseg.XGBoost, Deep Neural Networks, Transformers,ResNets,VAEs, GANs,Markov chains, etc. Experience using specialized machine learning librarieseg.Fastai,Keras,Tensorflow,pytorch, sci-kit learn,huggingface,etc. Must demonstrate the capacity of reading, understanding and implementingnew techniques in the field of machine learning as they emerge. Experience of using Cloud technologieseg.AWS, GCP or Azure Set yourself apart: Ability tolead large projects and drive through to completion Mastery of problem solving and solutioning Proven history and background in statistics/mathematics/macroeconomics What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days' vacation per year, gym subsidy, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for. About Accenture Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We combine unmatched experience and specialized capabilities across more than 40 industries - powered by the world's largest network of Advanced Technology and Intelligent Operations centers. With 509,000 people serving clients in more than 120 countries, Accenture brings continuous innovation to help clients improve their performance and create lasting value across their enterprises. Visit us at Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law. London Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces. Learn more about the hiring process at Accenture
Jul 18, 2025
Full time
Ind & Func AI Decision Science Manager Senior Level Full time Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team: The Data and AI revolution is changing everything. It's everywhere - transforming how we work and play. Join Accenture and help transform leading organisations and communities around the world. Accenture is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance. Accenture's Data & AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture's broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job. In our team you will learn: At the forefront of the industry, you'll create, own and make it a reality for clients looking to better serve their connected customers and operate always-on enterprises. Become an integral part of our Applied Intelligence team with the credibility, expertise and insight clients depend on. You will be working with famous brands and household names - no worrying about how to explain what you do to your family again! In this role you will: Lead, motivate and inspire teams of Data Scientists Create bespokemachine learningsolutions to model/solve problemsandto help develop the team Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics Understand business requirementsand support the development of business cases Run discovery analytics to identify new and innovative opportunities Partner with developers and engineers to deploy, embed and scalemachine learning modelsto delivercomplex/critical projects Devise reusable assets, solutions and develop bestpracticesfor current and future business problems Lead analytical discussions and influence analytical direction ofclient'steams Communicate and provide guidance to senior client leadership and teams Contribute data science expertise to new sales activities We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languageseg.Python, R, Scala, etc.(Python preferred) Strong proficiency in database technologieseg.SQL, ETL, No-SQL, DW, and Big Data technologieseg.pySpark, Hive, etc. Experienced working with structured and also unstructured dataeg.Text, PDFs, jpgs, call recordings, video,etc. Knowledge of machine learning modelling techniquesand how to fine-tunethosemodelseg.XGBoost, Deep Neural Networks, Transformers,ResNets,VAEs, GANs,Markov chains, etc. Experience using specialized machine learning librarieseg.Fastai,Keras,Tensorflow,pytorch, sci-kit learn,huggingface,etc. Must demonstrate the capacity of reading, understanding and implementingnew techniques in the field of machine learning as they emerge. Experience of using Cloud technologieseg.AWS, GCP or Azure Set yourself apart: Ability tolead large projects and drive through to completion Mastery of problem solving and solutioning Proven history and background in statistics/mathematics/macroeconomics What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days' vacation per year, gym subsidy, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for. About Accenture Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We combine unmatched experience and specialized capabilities across more than 40 industries - powered by the world's largest network of Advanced Technology and Intelligent Operations centers. With 509,000 people serving clients in more than 120 countries, Accenture brings continuous innovation to help clients improve their performance and create lasting value across their enterprises. Visit us at Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law. London Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces. Learn more about the hiring process at Accenture
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.
Jul 18, 2025
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.
