127 jobs found

Procurement Manager - 12 Month FTC Location: Whiteley, Hampshire, UK Are you looking to launch your career to the next level? Role Overview: We are seeking a motivated self-starter who can work independently and as part of a team in a dynamic environment covering routine and non-routine matters. Working independently, the Procurement Manager will bring their procurement experience into the Procurement team and will be responsible for activities that span the entire procurement cycle - proposal, sourcing, negotiation, administration, compliance, risk management and relationship management of supplier contracts across the UK business. The Procurement Manager will typically be responsible for reviewing the work of lower level professionals for compliance and best practice. Acquisitions will be in support of civil and defence new business proposals and current programmes as well as indirect procurement activities. The successful candidate will be required to work with suppliers to support the UK business whilst following the procurement processes and procedures. Duties & Responsibilities: Procurement Execution: Manage end-to-end procurement lifecycle for goods and services, including RFQs, bid evaluation, negotiation, and contract award Ensure timely conversion of requisitions to purchase orders within SLA targets Supplier Management: Develop and maintain strong relationships with key suppliers to ensure performance, quality, and cost objectives are met Monitor supplier compliance with contractual obligations and flow-down requirements (e.g., Public Contracts Regulations 2015) Governance & Compliance: Adhere to Leidos Commercial Procurement Manual and internal audit requirements Maintain accurate records in procurement systems (SPO/Ivalua) and support audit readiness Financial & Performance Reporting: Track procurement spend, savings, and cycle times; provide monthly reporting to programme leadership Support cost analysis and pricing activities for bids and proposals Risk & Issue Management: Identify and mitigate supply chain risks; elevate issues impacting delivery or compliance Skills Required: Proven experience in procurement or supply chain within a complex, regulated environment Strong negotiation and contract management skills Familiarity with UK public sector procurement regulations and frameworks Proficiency in procurement systems (e.g., SPO, Ivalua) and MS Office tools Excellent stakeholder engagement and communication skills Hold or be able to hold UK SC clearance Skills Desired: CIPS qualification or equivalent Experience in defence, technology, or government programmes. Knowledge of cost modelling and pricing templates Clearance Requirements: BPSS Pre-screening required to Start SC required for the role Hold or be able to hold UK SC clearance What we do for you: At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance. We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes: Contributory Pension Scheme Private Medical Insurance 33 days Annual Leave (including public and privilege holidays) Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme) Flexi-Time working scheme Commitment to Diversity: We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone. If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs. Who We Are: Leidos UK & EUROPE - we work to make the world safer, healthier, and more efficient through technology, engineering and science. Leidos is a growing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some of the most complex problems in defence, healthcare, government, safety and security, and transportation. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting: For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: £41,300.00-£53,000.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ We're here to make money work for everyone and we're doing things differently. For too long, banking has been obtuse, complex and opaque. We want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, test the app and give us constant feedback so we can build something everyone loves. We're focused on solving problems, rather than selling financial products. We want to make the world a better place and change people's lives through Monzo. About our Payments Team: Our Payments Data team consists of over 15 people across 3 data disciplines: Analytics Engineering, Data Analytics, and Data Science. Our Payments Collective exists to provide a platform for teams to launch banking products with confidence. We help to make Monzo's global ambitions a reality, enabling revenue and customer growth with a resilient, self-serve banking platform. What you'll be working on: You'll work closely with the Product and Engineering teams in an agile product environment. You'll champion the use of data, bring ideas to life through a rigorous analytical approach. Your work will focus on enabling revenue and customer growth. You will manage a team of Data Scientists and Data Analysts, working together with Analytics Engineers to drive product innovation and you'll get to see the impact of all your work in the product changes we make. We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data folk the head space to focus on more impactful business questions and analyses. Be a key leader in building a discipline of exceptional Data Scientists and Analysts working on making Monzo world class at Payments products and experience Help hire, develop and retain talented Data people Collaborate closely with senior leaders across Monzo to deliver products for our customers Bring data leadership and rigour to our approach to product development and build a strategic understanding of the business while structuring complex projects to bring them to life Define the long term strategy of the team and create comprehensive roadmaps for all the projects within your team Generate insights that can change the direction of our Payments strategy Work and advise on Payments's global expansion strategy Liaise with Product and Engineering managers to make sure we collect the right data to produce relevant business insights OurData team 's mission is to Enable Monzo to Make Better Decisions, Faster At the core of this mission sits our data platform. We're great believers in powerful, real-time analytics and empowerment of the wider business. Our engineers collect analytics events from their microservices, and upload these into our Data stack for analysis. We optimise for simplicity and re usability - all our data lives in one place and is made available via our data warehouse in Google BigQuery. We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them): Google Cloud Platform for all of our analytics infrastructure dbt and BigQuery SQL for our data modelling and warehousing Python for data science Go to write our application code AWS for most of our backend infrastructure You should apply if: What we're doing here at Monzo excites you! You have experience of managing a team of Data Scientists You are a strong strategic data leader and are passionate about using data to improve and inform business decisions You have strong experience working with executive or C-level peers and managing stakeholders across levels of seniorities and disciplines You know what it takes to manage top tier Data talent You're excited by the opportunity to work autonomously to impact the future of a fast growing, ever evolving business You have strong product knowledge and have built data products previously You're familiar with using a variety of Data Science tools (from business intelligence, experimentation and causal inference through to machine learning), and coding languages (Python and SQL). You know when to pick the right tool, and can help others do the same Experience in Payments is a plus, but not required. The Interview Process: Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions! 30 minute recruiter call 45 minute initial call 3 x 1-hour video calls, including a technical case study What's in it for you: ️ We can help you relocate to the UK We can sponsor visas This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences And much more, see our full list of benefits here Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2024 Diversity and Inclusion Report and 2024 Gender Pay Gap Report. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage

We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ We're here to make money work for everyone and we're doing things differently. For too long, banking has been obtuse, complex and opaque. We want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, test the app and give us constant feedback so we can build something everyone loves. We're focused on solving problems, rather than selling financial products. We want to make the world a better place and change people's lives through Monzo. About our Payments Team: Our Payments Data team consists of over 15 people across 3 data disciplines: Analytics Engineering, Data Analytics, and Data Science. Our Payments Collective exists to provide a platform for teams to launch banking products with confidence. We help to make Monzo's global ambitions a reality, enabling revenue and customer growth with a resilient, self-serve banking platform. What you'll be working on: You'll work closely with the Product and Engineering teams in an agile product environment. You'll champion the use of data, bring ideas to life through a rigorous analytical approach. Your work will focus on enabling revenue and customer growth. You will manage a team of Data Scientists and Data Analysts, working together with Analytics Engineers to drive product innovation and you'll get to see the impact of all your work in the product changes we make. We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data folk the head space to focus on more impactful business questions and analyses. Be a key leader in building a discipline of exceptional Data Scientists and Analysts working on making Monzo world class at Payments products and experience Help hire, develop and retain talented Data people Collaborate closely with senior leaders across Monzo to deliver products for our customers Bring data leadership and rigour to our approach to product development and build a strategic understanding of the business while structuring complex projects to bring them to life Define the long term strategy of the team and create comprehensive roadmaps for all the projects within your team Generate insights that can change the direction of our Payments strategy Work and advise on Payments's global expansion strategy Liaise with Product and Engineering managers to make sure we collect the right data to produce relevant business insights OurData team 's mission is to Enable Monzo to Make Better Decisions, Faster At the core of this mission sits our data platform. We're great believers in powerful, real-time analytics and empowerment of the wider business. Our engineers collect analytics events from their microservices, and upload these into our Data stack for analysis. We optimise for simplicity and re usability - all our data lives in one place and is made available via our data warehouse in Google BigQuery. We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them): Google Cloud Platform for all of our analytics infrastructure dbt and BigQuery SQL for our data modelling and warehousing Python for data science Go to write our application code AWS for most of our backend infrastructure You should apply if: What we're doing here at Monzo excites you! You have experience of managing a team of Data Scientists You are a strong strategic data leader and are passionate about using data to improve and inform business decisions You have strong experience working with executive or C-level peers and managing stakeholders across levels of seniorities and disciplines You know what it takes to manage top tier Data talent You're excited by the opportunity to work autonomously to impact the future of a fast growing, ever evolving business You have strong product knowledge and have built data products previously You're familiar with using a variety of Data Science tools (from business intelligence, experimentation and causal inference through to machine learning), and coding languages (Python and SQL). You know when to pick the right tool, and can help others do the same Experience in Payments is a plus, but not required. The Interview Process: Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions! 30 minute recruiter call 45 minute initial call 3 x 1-hour video calls, including a technical case study What's in it for you: ️ We can help you relocate to the UK We can sponsor visas This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences And much more, see our full list of benefits here Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2024 Diversity and Inclusion Report and 2024 Gender Pay Gap Report. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage

Apply now Data Science & AI Specialist Overview We are looking for a Data Science & AI Specialist to obtain value from the full range of all BT data sets using advanced DS and AI models. In this role, you will be responsible for designing, building, deploying, and operationalizing artificial intelligence and machine learning models within the AWS ecosystem. This role combines strong software engineering practices with data science knowledge, leveraging SageMaker's full suite of tools to manage the entire ML lifecycle. Responsibilities Leads the extraction and analysis of Mobile data through the application of Machine learning & AI techniques to generate insight from data to support decision-making across the business or to embed in new products and services. Drives model development, including data exploration, training data, feature extraction, validation and scoring. Develops insightful visualisations to make sophisticated analyses accessible to a broad audience. Drives initiatives related to fairness, ethics, interpretability, safety, robustness, and privacy in AI/ML. Leverages Amazon SageMaker's capabilities, such as SageMaker Studio, Pipelines and Endpoints, to streamline building, training, evaluating and deploying models at scale. Implements and maintains robust Machine Learning Operations (MLOps) practices, including CI/CD pipelines, model versioning, monitoring for drift and performance, and automated retraining processes. Collaborates on data acquisition, preprocessing, feature engineering and data analysis to prepare large datasets for model training. Leads identification of opportunities and implementation of SageMaker machine learning techniques to derive business insights. Contributes towards development of machine learning guidelines, policies and architecture that supports scalable machine learning pipelines. Drives new data set sourcing, transformation and preparation of new data sets from across the BT group's platforms to build foundational data models for data science, analytics and machine learning. Skills 2-3 years+ of proven success at applying Data Science approaches or developing and shaping AI algorithms and models. (Mandatory) Experience with AWS cloud services for scalable AI & data solutions. (Mandatory) Experience in programming languages such as Python/Java and strong knowledge of AI/ML libraries. (Mandatory) Solid understanding of software architecture, data modeling, and various data structures. Knowledge of data governance practices to ensure data quality, security, and compliance. Demonstrates a comprehensive understanding of ethical considerations related to artificial intelligence and ability to develop and implement fair and responsible AI solutions. Research skills to stay up-to-date with latest AI trends and continue to learn new techniques. Excellent communication - the ability to listen and to share ideas clearly to a range of audiences. Experience in leading, managing and/or coaching others - particularly in technical roles, whether as a line manager or not. Inclusive Hiring Statement DON'T MEET EVERY SINGLE REQUIREMENT? Studies have shown that women and people who are disabled, LGBTQ+, neurodiverse or from ethnic minority backgrounds are less likely to apply for jobs unless they meet every single qualification and criteria. We're committed to building a diverse, inclusive and authentic workplace where everyone can be their best, so if you're excited about this role but your past experience doesn't align perfectly with every requirement on the Job Description, please apply anyway - you may just be the right candidate for this or other roles in our wider team. Benefits Annual On Target Bonus 10% (personal and company multipliers) BT Pension scheme; minimum 5% employee contribution, BT contribution 10% Life Assurance Direct share scheme Exclusive colleague discounts on our latest and greatest BT broadband packages 50% off EE mobile pay monthly or SIM only plans and 50% discount for friends and family on EE SIM only plans My Discounts gives colleagues access to unbeatable savings on everyday purchases at hundreds of retailers Discounted EE TV including TNT Sport and the NOW Entertainment membership Great support for working parents including pay whilst on maternity, adoptive, and paternity leave Option to join the Healthcare Cash Plan or other benefits such as dental insurance, gym memberships etc. 25 days annual leave (not including bank holidays), increasing with service with buy holiday option Volunteering days so you can give back to your local community Brand new electric vehicle salary sacrifice arrangement, known as 'My EV' Location One Braham (4140), London, United Kingdom Contact Recruiter: Trevor Newman

Senior or Principal Soil Scientist page is loaded Senior or Principal Soil Scientistlocations: GB.Bristol.The Hub: GB.London.Nova Northtime type: Full timeposted on: Posted Todayjob requisition id: R-145181 Job Description OverviewWe have a great opportunity for a dynamic and motivated Senior or Principal Soil Scientist (depending on experience) to join our Sustainable Land and Resource Management team in the UK to support with managing project delivery and driving technical delivery and business development.We are seeking an individual with a strong technical background and experience in the assessment and management of soil and agricultural land quality, with a focus on Agricultural Land Classification (ALC) and sustainable management of soils on infrastructure projects and construction sites. The successful applicant will be an important part of an innovative and technically excellent team of Soil Scientists helping deliver major projects. As a member of our team, you will be involved in a range of office and field-based work, engaging with our experienced staff to deliver excellence to our clients, and will work closely with a wide range of other professionals to deliver holistic solutions to environmental and engineering problems.The Sustainable Land and Resource Practice is a well-established, award winning, multi-disciplinary, environmental and engineering practice with an extensive portfolio of regeneration and development projects and a highly skilled team winning numerous industry awards over the years. The Practice is growing our soil and agricultural land quality service line, and the successful candidate will work on a number of large projects across a range of exciting markets, including the development of Cities, Transportation, Water, Defence and Energy infrastructure. Your Role Lead on the technical delivery of ALC, soil resource surveys and sustainable management of soils. Support and lead on client work development, preparation of proposals and input into bids for multi-disciplinary infrastructure projects. Liaison with clients, stakeholders, regulators, sub-contractors and other internal disciplines. Work effectively as part of a team and with other professionals (environmental scientists, engineers, planners) to provide a consistent and integrated service to our clients. Maintain excellent professional relationships which will lead to and secure repeat business. Compliance with Health and Safety policies and procedures, including preparing and reviewing health and safety plans and managing health and safety on site. Provide technical guidance, constructive support and mentoring to junior staff and supporting their technical development. Developing own competence and maintain CPD necessary to fulfil the responsibilities of the role, with support from the business on own training and development needs. About you Degree qualified in a relevant engineering or science subject (e.g. soil science, geology and environmental science ). Relevant post-graduate experience. Full or Chartered Membership of relevant professional body such as the British Society of Soil Science. If not Chartered, we would expect the candidate, with our support, to become chartered 6 to 12 months after joining. Demonstrate a proven track record of undertaking soil surveys including recording accurate descriptions of soil profiles, undertaking hand texturing, collecting soil samples and interpretating soil chemical and physical analyses. Detailed working knowledge and specialist understanding of ALC including interpretating soil properties and conditions. Working knowledge and demonstrable understanding of the relevant legislation, technical guidance, industry standards and best practice, especially in respect to agricultural soil assessment and the protection and sustainable management of soils. Experienced in preparing and reviewing technical reports ALC assessments, Soil Resources Plans, Soil Handling Management Plans and Aftercare Plans. Experience in writing EIA chapters is desirable but not essential. Demonstrate a proven track record of providing advice on earthworks related sustainable soils management and project management including managing project teams resulting in delivery to high standards. Excellent communication skills and proven ability to manage and mentor staff as well as managing time and work as part of a team as well as individual working. Flexible and prepared to take on new challenges. Full UK driving licence and the ability and willingness to travel throughout the UK and work on short term assignments. Reward & benefitsExplore the rewards and benefits that help you thrive - at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life. About AtkinsRéalisWe're , a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people. Additional information Security clearance This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance.We are committed to creating a culture where everyone feels that they belong - a place where we can all be ourselves, thrive and develop to be the best we can be. So, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee resource groups to support all employees. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability. Worker Type Employee Job Type Regular At AtkinsRéalis , we seek to hire individuals with diverse characteristics, backgrounds and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences.

Data Science Manager page is loaded Data Science Managerlocations: United Kingdomtime type: Full timeposted on: Posted 30+ Days Agojob requisition id: J-76580Amex 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. Manager, Hotel Optimization Our Hotel business is growing and we are seeking to expand the Hotel Optimization team at Amex GBT. This critical position will create something new by combining analytical skills, technical capabilities with creativity and vision for opportunities, directly impacting the bottom line. Being part of a global team, 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, responsibilities and competencies: Identify revenue opportunities, possibly through creative solutions, and drive the implementation to realize them Design and build data-driven hotel optimization models using advanced Analytics/Data Science techniques Strive to continuously refine and improve optimization models through A/B testing or test/control frameworks designed and built from scratch Lead strategic and quantitative analysis to support key business decisions and help chart the course for optimizing our hotel supply Identify, prioritize, and drive automation opportunities through SQL, Python (or other programming language) Build and maintain API connectivity using Json automation/Python Create new tools and data visualization using PowerBI or Tableau Build-up and lead a new team and function within hotel optimization What you will bring, experience and qualification: Bachelor's in quantitative discipline (Data Science, Maths, Business/Economics, etc.), Master's preferred Min. 5 years work experience as Data Scientist with focus on problem solving in a commercial environment. Strong SQL skills, with ability to write SQL from scratch, good understanding of databases Strong experience using Tableau or Power BI to pull data from various sources, develop and publish automated reports and dashboards. Experience with at least one programming language (Python/R) Good communication skills with passion for storytelling, bringing data to life Experience managing a team would be an asset, but not required What we will offer Learning and development opportunity. Mentoring program. Flexible home working option. Competitive benefits. Diverse team that is globally based. 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!All 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.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 .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!

About the Company Medidata is powering smarter treatments and healthier people through digital solutions to support clinical trials. Celebrating 25 years of ground breaking technological innovation across more than 36,000 trials and 11 million patients, Medidata offers industry leading expertise, analytics powered insights, and one of the largest clinical trial data sets in the industry. More than 1 million users trust Medidata's seamless, end to end platform to improve patient experiences, accelerate clinical breakthroughs, and bring therapies to market faster. Discover more at . About the Team (Life Science Engagement ) Dassault Systèmes (DS), with 40 years of experience transforming the way products are designed, produced and supported has combined with MEDIDATA, developers of the world's most used platform for clinical development, commercial and real world data. Our Life Sciences sales and marketing teams bring together all of Dassault Systèmes Life Sciences capabilities in one go to market organization called Life Sciences Engagement (LSE), providing our clients with Life Sciences domain focus and expertise to accelerate their business. As one organization we are leading the transformation in Life Sciences. Unique in the industry, we provide our clients with an integrated business and scientific platform from discovery and preclinical development, clinical trials, manufacturing, quality, regulatory, and commercialization. Discover the future of Life Sciences at and come join us! Responsibilities Our client Executive achieves booking, revenue, & profit goals within their assigned account territories, including identifying sales opportunities through daily prospecting, qualifying opportunities, and efficiently applying Medidata/Dassault Systemes resources to bring opportunities to successful conclusion. Client Executives build consultative, long term relationships with their customers to create tailored, cost effective solutions. Personal involvement in customer relationships and high levels of customer satisfaction are essential to remain consistent with Medidata/Dassault Systemes business principals. This sales role is territory based with a focus on field work for customer visits, but it's also office based in general and reports to the Manager of BIOVIA & BRAND sales, LSE Korea. Build and execute a comprehensive sales strategy to expand Dassault Systèmes' footprint in the Korean Life Sciences market. Achieve and exceed quarterly/annual revenue targets and profit goals within the assigned territory. Develop and maintain a robust sales pipeline through proactive prospecting, cold calling, and lead generation. Manage the end to end sales cycle, from initial contact and solution presenting to closing complex enterprise software transactions. Engage deeply with functional groups within Pharma/Biotech organizations, specifically targeting R&D, QC, QA, and IT departments. Act as a trusted advisor by providing thought leadership on industry trends, digital transformation, and the specific value proposition of Dassault Systèmes' solutions. Drive consultative engagements by leading workshops and brainstorming sessions to solve client specific challenges and deliver a clear 3D Experience Platform's value. Provide strategic guidance on RFX responses, ensuring solutions are scoped to meet both technical requirements and executive level business goals. Establish and nurture long term relationships with "C-Level" decision makers and key stakeholders to build customer loyalty and high retention rates. Collaborate cross functionally with Pre Sales, Marketing, Professional Services, and Partners to ensure seamless solution delivery and customer success. Coordinate internal resources effectively to navigate complex sales environments and accelerate deal closures. Maintain rigorous sales discipline by updating Salesforce/My Sales Pipeline and providing accurate weekly/monthly forecasting. Demonstrate high integrity and professional ethics, ensuring open and honest communication both internally and externally. Support marketing initiatives by participating in webinars, industry conferences, and white paper development to increase brand awareness in the Life Sciences sector. Qualification & Experience 5+ years of proven success in enterprise software sales or solution consulting, with a focus on high touch complex deals. Deep understanding of the Life Sciences industry, including a strong grasp of the end to end sales cycle within pharmaceutical and biotech sectors. Hands on knowledge of laboratory and manufacturing workflows, specifically within R&D processes, QC/QA environments, and Manufacturing. Proven track record of C-level engagement, with the ability to build trust and manage relationships with senior executives and key decision makers. Strong sales operational skills, including territory planning, pipeline management, and a consistent history of meeting or exceeding quarterly/annual quotas. Solid understanding of GMP (Good Manufacturing Practice) and regulatory compliance requirements within the Life Sciences industry. Familiarity with industry standard solutions such as LIMS, ELN, EDMS, PLM, or QMS (Highly preferred). Ability to translate complex technical capabilities into clear business value for diverse stakeholder groups (R&D, IT, QA, etc.). Education & Skill Bachelor's Degree required; preferably in Life Sciences (Biology, Chemistry, Pharmacy), Bioengineering, or a related Business/Information Technology field. Business level proficiency in English: Ability to collaborate with global teams, participate in international meetings, and understand technical documentation from headquarters. Solution Proficiency: Intermediate to advanced knowledge of enterprise platforms (e.g., LIMS, ELN, QMS, or PLM). Consultative Selling: Mastery of value based selling methodologies to identify pain points and propose integrated solution sets. Analytical Thinking: Ability to analyze market trends and competitor activity to build data driven territory plans. Presentation Excellence: Skilled in delivering high impact presentations and solution demonstrations to both technical users and C level executives. Integrity & Trustworthiness: High ethical standards in managing sensitive client data and internal transparency.

Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries. Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement. This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi million dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action. The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high performing teams, this role is for you. What You'll Do Lead and mentor junior data scientists and analysts-provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi workstream analytics projects-oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end to end data science workflows-from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI powered analyses-including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights-create compelling data narratives, develop executive ready presentations, and communicate technical results to non technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients-build long standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development-participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities. Required Qualifications 5+ years of hands on experience conducting data science and advanced analytics-not just ad hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams-including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit learn, statsmodels, visualization libraries). Comfortable writing production quality code, not just notebooks. Solid foundation in statistics and machine learning: hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures-understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms: Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills-ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed. Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference in differences, or instrumental variables. Hands on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine tuning pretrained models for NLP, time series, or tabular data applications. Experience building AI assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI assistant rapid data application development using Cursor, Lovable, v0, etc. Experience with time series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new problem spaces. Master's degree or PhD in Statistics, Applied Mathematics, Economics, or related quantitative field. Why Huron Variety that accelerates your growth. In consulting, you'll work across industries and analytical challenges that would take a decade to encounter at a single company. Our Commercial segment spans Financial Services, Manufacturing, Energy & Utilities, and more-each engagement is a new domain to master and a new problem to crack. Impact you can measure. Our clients are Fortune 500 companies making significant investments in analytics and AI. The insights you generate will inform real decisions-pricing strategies, customer segmentation, operational improvements, strategic investments. You'll see your analysis drive outcomes. A team that thinks deeply. Huron's Data Science & Machine Learning team is a close knit group of practitioners, not just advisors. We develop hypotheses, analyze data, and deliver insights that hold up to scrutiny. You'll work alongside data scientists and engineers who care about getting the answer right and telling the story clearly. Investment in your development. We provide resources for continuous learning, conference attendance, and certification. As our DSML practice grows, there's significant opportunity to take on technical leadership, shape our capabilities, and advance to senior leadership roles. Position Level Manager Country United Kingdom

About the role: We are seeking exceptional Forward Deployed Engineers to join our team at the frontier of AI and biology. In this role, you will work hand-in-hand with cutting-edge pharmaceutical and biotechnology companies to solve high-leverage problems by customizing our agentic AI platform, Owkin K, for such customers. You will also help shape the future of our product by distilling insights from the field back into the platform. You will operate at the intersection of these core skill areas: Engineering execution: You translate domain understanding into robust, scalable systems. From rapid prototyping to production-grade deployments, you'll build full-stack AI solutions on top of Owkin K that drive value across the customer's workflow and organizational layers. Customer collaboration: You work side-by-side with pharma and biotechnology customers to uncover needs, validate ideas, and iterate quickly. Your ability to listen, understand, adapt, co-create and communicate is key to driving adoption, ensuring usability, and delivering solutions that stick. Navigating Complex and Regulated Environments: You excel at quickly integrating into intricate client organizations and effectively balancing the demands of diverse stakeholders. Your experience in highly regulated sectors (preferably Pharma, but also Financial Services, Utilities, Telcos, or Defence) means you are skilled at working within constraints and proactively developing fitting and inventive solutions. Domain expertise (Nice-to-have / not must-have):You've had exposure to the Pharma business and/or have good understanding about computational biology, biostatistics, and/or medical imaging, and a good understanding of the typical drug development pipeline. This enables you to deeply understand complex scientific use cases presented by the customers, identify opportunities for impact, and ensure that every solution aligns with real business value. As the current team already has deep expertise in these areas, this is not a strong prerequisite. In particular, you will: Embed deeply with users to solve high-leverage problems by customizing and extending Owkin's agentic platform K; Design, build, and ship tailored solutions on top of Owkin K, guiding them from conception through final delivery; Drive rapid prototyping and iteration to validate solutions early and frequently; Balance scope, speed, and quality, adapting plans to ensure successful delivery; Communicate clearly across technical and non-technical stakeholders to align expectations; Collaborate with Customer Success Managers, Product and Engineering teams to guarantee effective delivery, client satisfaction, and sustained adoption of Owkin's product; Turn proven patterns into reusable, scalable components, tools, and playbooks; Share feedback from the field with Product and Engineering teams to shape the roadmap About you Above all, we seek curious individuals who are driven to learn through hands on experience and who embrace a strong bias for action. In addition to this, the following skills are required: Fluency in Python, with experience in software development best practices including testing, CI/CD pipelines, and code reviews; Experience working with LLMs; Experience working with APIs with frameworks such as FastAPI or Flask; Ability to simplify complexity and make fast, sound decisions under time pressure; Communicate effectively across diverse audiences: technical teams, product managers and non technical stakeholders. Adapt language and detail to ensure clarity and alignment; Thrive in fast evolving environments by staying flexible, embracing ambiguity, and proactively driving progress despite incomplete information; Experience with agentic workflows; Familiarity with cloud platforms; Understanding of the drug development pipeline and related scientific workflows; Good understanding of biostatistics, computational biology, and/or medical imaging What we offer Friendly and informal working environment Opportunity to work with an international team with high technical and scientific backgrounds Owkin is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, gender, sexual orientation, age, color, religion, national origin, protected veteran status, or disability.