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Job Role: Data & Applied Intelligence Strategy Manager Location: London Career Level:Manager Accenture is a leading professional services company that provides a wide range of services including strategy and consulting, data and analytics, technology and operation services worldwide. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. Accenture's core values are deeply embedded in their culture and guide their actions and decisions. These values are reflected in their commitment to driving meaningful and transformational change for their clients, communities, and the wider world. We believe in inclusion and diversity and supporting the whole person. Our people help us deliver on the promise of technology and human ingenuity for our clients and talent is one of our most important areas of competitive differentiation. Our focus is on accessing, creating and unlocking people's potential to help them achieve their professional and personal aspirations. 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: Data & AI, the people who love using data to tell a story. We're also the world's largest team of data scientists, data engineers, and experts in machine learning and AI. Our focus is on big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything-spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? 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 this role you will: Join our team of strategic thinkers who are passionate about leveraging Data, AI, and GenAI to drive transformative change. We are dedicated to helping organisations navigate the complex landscape of Data & AI. Our mission is to empower businesses across various industries with strategic insights that unlock new opportunities, deliver imaginative new customer experiences, drive revenue growth and enhance operational effectiveness. If you're ready to embark on an exciting journey that blends strategy with real-world impact, we want you on our team! Lead a Team: Manage and mentor a cross-functional team, fostering a collaborative and high performance environment that encourages professional development and excellence in client delivery. Engage with Clients: Collaborate with clients to understand their business challenges and identify how Data & AI can drive strategic value across various industries, sectors, and functions. Manage Deliverables: Oversee client contractual deliverables at a project or workstream level, ensuring that all commitments are met on time and to the highest quality standards. Serve as an SME: Act as a Subject Matter Expert (SME) in various client engagements, providing insights and strategic recommendations based on Data & AI industry best practices. Develop Strategic Insights: Utilise your knowledge and understanding of industry trends and methodologies to provide strategic recommendations that align with clients' business objectives and enhance their competitive advantage. Facilitate Stakeholder Engagement: Build and maintain relationships with senior stakeholders, including C-suite executives, to effectively communicate the value of Data & AI initiatives and drive alignment on strategic priorities. Leverage Accenture Methods: Apply established frameworks and strategic methodologies to assess client needs, identify opportunities for improvement, and develop actionable plans for Data & AI implementation. Drive Innovation: Partner with our global and regional AI labs and studios, collaborating with cross-functional teams to discover innovative solutions and push the boundaries of what is possible with Data & AI. Represent Accenture: Represent Accenture at various internal, industry, and client events, showcasing our expertise in Data & AI. Craft Compelling Narratives: Develop engaging presentations and board papers that articulate complex insights in a clear and compelling manner, guiding senior client leadership in decision-making. Conduct Data Analysis: Analyse data sets to derive meaningful insights that support strategic decision-making for clients, utilising data visualisation tools and techniques to present findings effectively. Lead Impactful Discussions: Facilitate workshops and discussions with clients to explore innovative use cases for Data & AI, fostering collaborative ideation and problem-solving. Drive Practice Development: Lead the development of point of views, thought leadership and intellectual property within the Data & AI strategy space, enhancing our value proposition and building a strong professional community. Be a Team Player: Work collaboratively with colleagues across various functions, sharing knowledge and insights to drive collective success and foster a culture of innovation. Qualifications and Skills Leadership Experience: Proven experience in delivering complex Data & AI strategic projects in high pressured client environments, managing teams, demonstrating the ability to mentor and develop talent within the Data & AI community. Strategic Project Involvement: Experience in supporting or leading strategic initiatives that drive successful outcomes, particularly in the context of Data & AI. Shaping Statements of Work: Lead the development of statements of work, with demonstratable commercial acumen for deal shaping, ensuring alignment with client needs and organizational objectives. Industry and Business Acumen: A solid understanding of global economic, technological, and social trends that impact our clients, along with the ability to identify value opportunities for Data & AI. Knowledge of Strategic Frameworks: Familiarity with strategic frameworks and methodologies that guide data-driven decision-making and organisational transformation. Familiarity with Storytelling, Collaboration and Data & AI Tools: Demonstrate knowledge of storytelling tools, collaboration tools to support workshops as well and foundational data and AI tools, such as data visualization and basic statistical analysis tools, to support client engagements and project deliverables. Stakeholder Management Skills: Proven ability to engage effectively with senior management and stakeholders, fostering strong relationships and facilitating productive discussions. Baseline Understanding of Core Data & AI Technologies: Maintain a baseline understanding of core technologies and platforms, including cloud solutions (such as AWS, Azure, GCP), to effectively discuss their applications and benefits with clients and stakeholders. Analytical Mindset: Strong analytical skills, with the ability to synthesise complex information and develop pragmatic solutions that address clients' strategic challenges. Communication Excellence: Exceptional verbal and written communication skills, with a talent for presenting ideas clearly and persuasively to diverse audiences. Recent experience of work relating to the following topics is a must: Strategic Vision & Board Papers: Contributing to development of board papers and strategic visions that leverage Data and AI, including GenAI, to drive innovation and transformation. Data & AI Strategy Development: Formulating strategies for AI and GenAI implementation, identifying key use cases, and outlining actionable roadmaps. Operating Models: Designing operating models that integrate Data and AI capabilities, ensuring alignment with organizational objectives and fostering a Data & AI-driven culture. Business Cases: Crafting business cases that articulate the ROI of Data and AI initiatives, supported by market analysis and stakeholder insights. Data & AI Product Design: Creating user-centric data products and AI solutions that facilitate informed decision-making, including dashboards and analytical tools. 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, 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. . click apply for full job details

About Us: At Encord, we're building the AI infrastructure of the future. The biggest challenge AI companies face today is not half as glamorous as the outside world may think: it's all about data quality. In fact, the success of any AI application today relies on the quality of a model's training data - and for 95% of teams, this essential step is both the most costly, and the most time-consuming, in getting their product to market. As ex-computer scientists, physicists, and quants, we felt first-hand how the lack of tools to prepare quality training data was impeding the progress of building AI. AI today is what the early days of computing or the internet were like, where the potential of the technology is clear, but the tools and processes surrounding it are still primitive, preventing the next generation of applications. This is why we started Encord. We are a talented and ambitious team of 75+, working at the cutting edge of computer vision and deep learning, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and other top Bay Area leaders in AI. We are one the fastest growing companies in our space, and consistently rated as the best tool in the market by our customers. We have big plans ahead and are looking for a rockstar Senior PMM to join our Marketing team! About You: -Ideal candidates will have a proven record in product marketing and experience working on technical products. -You would have a strong understanding of Data & AI platform offerings, have worked on creating messaging and positioning of technical products targeted at the enterprise market, and can build strong working relationships with stakeholders to deliver joint messaging and GTM plans. -You also have experience creating compelling product and product-related thought leadership content to support customers on their learning journey and for Growth/Demand marketing to use for audience, use case, or vertical-specific campaigns. -5+ years of product marketing experience at an enterprise software company, preferably including PMM experience in early-stage AI startups -Excellent writing skills for succinct messaging targeting AI/ML engineers and AI executivesAbility to thrive in a fast-paced, dynamic, team-oriented environment -Deep understanding of Data and AI spaceExperience building compelling technical and business content -Works collaboratively with sales, growth marketing, and product teams -Comfortable owning and running direct customer engagements -Strong public speaker and technical aptitude to become the end-to-ent expert on the -Encord platform to be able to effectively demo at events and to prospectsPreferred technical academic background (BS in computer science or related discipline) About You As our second product marketer, you will lead the marketing of the Encord Platform. This will include owning how we message Encord across targeted use cases, verticals, and personas. This is a critical role for the business, and you will become the subject matter expert for the end-to-end platform. The impact you will have -Own the messaging of Encord, as well as the messaging for platform-wide capabilities -Amplify the platform-level messaging through the Encord website and channels -Build and deliver sales enablement with high CSAT scores with field teams -Be the expert in any platform-specific messaging for any campaign or event Encord is running, and enable GTM teams with highly performant content to drive strong engagement and pipeline -Deliver a drumbeat of compelling customer stories, highlighting the Encord Platform capabilities, technical details, and realized value -Hone messaging by developing value proposition and messaging frameworks and driving articulation of product portfolio positioning aligned to Encord's targeted audiences and ICP -Help build a product our customers love -Collaborate closely with product & engineering to identify needs and sharpen product offerings based on the competitive landscape and feedback from customers What We Offer: - Competitive salary, commission and equity in a hyper growth startup. - Real opportunities to grow. We're growing insanely fast and you'll have all the opportunities for growth that you can handle. - Strong in person culture. We're 3-5 days a week in our Fitzrovia office. - Flexible PTO to recharge. - Annual learning and development budget. - 25 paid vacation days + bank holidays. - Lots of opportunities for travel (all around the US, to London & Europe). - Bi-annual off-sites and monthly socials. - Health, dental and vision insurance. Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture and many more. Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.

PLEASE APPLY THROUGH THIS LINK: DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview With the growth of our iOS app, being the productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What Yo u' ll Do Opportunity to lead key engineering and product decisions Actively shipping production code for the Speechify iOS app Work within a dedicated product team Participate in product discussions to shape the product roadmap Maintain and enhance the existing complex app architecture An Ideal Candidate Should Have Experience. You've worked on products that scaled to a large user base Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down Technical skills. Swift, SwiftUI Technical Requirements: Swift Programming Language SwiftUI experience Experience in Multithreading Programming Working with CI/CD infrastructure Experience with Fastlane SOLID principles, the ability to write every single class according to SOLID Experience with Git and understanding of different Git strategies What We offer: A fast-growing environment where you can help shape the company and product An entrepreneurial crew that supports risk, intuition, and hustle The opportunity to make a big impact in a transformative industry A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world Work in one of the fastest growing sectors of tech: Intersection of Artificial Intelligence and Audio Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Director, Human Resources Business Partner - EMEA Director, Business Partnering - London - EMEA A fast-paced, innovative and dynamic organization is seeking a highly strategic, driven, and progressive HR Business Partner (HRBP) to join the team, based out of London. Reporting to the Head of EMEA Business Partnering, this role will be the lead partner for key business groups as part of a strong global team. This is both a strategic and hands-on role, requiring a flexible and collaborate approach to influence at all levels of the organization. With a large focus on business transformation and change management, where a positive and can-do mindset is key to driving impactful and sustainable change. The HRBP will partner closely with the other Centers of Excellence such as Employee Relations, Talent Acquisition, Talent Development, People Operations, Finance and Legal. In partnership with the business, this role is empowered to drive and execute proactively and innovatively on the people strategy and to have a real impact on leaders and individual contributors across the organization. Specific Responsibilities Include: Acting as a strategic partner to the Head of EMEA Business Partnering, delivering scalable and effective support that enhances operational efficiency, while fostering a collaborative and holistic approach to the Company goals and OKRs. Partnering with your business leaders across EMEA, specifically London, Barcelona, Germany and Dubai to design and drive innovative, strategic and targeted solutions for your client group. In conjunction with the business, you will be responsible for curating and executing a well-designed talent strategy throughout the year in a transforming business. Building strong relationships with your business leaders as well as other supporting functions across the organization to collaborate effectively on the talent strategy. Consult, coach and challenge your business leaders to cultivate effective solutions to people issues. Proactively develop, recommend, and implement a forward-thinking talent strategy to support business goals, specificallyregardingorganizational development, talent acquisition, performance management, retention, talent development, and employee relations. Partner with the business on organizational design and workforce planning to continue to support their evolving needs and ensure the operating models meet organizational goals and capitalize on employee skill sets. Leverage talent acquisition to develop hiring plans to proactively support business objectives and meet skill needs for the future. Collaborate with the business and respective HR partners, in particular Employee Relations, to drive high performing teams and a culture of feedback and coaching. Work closely with the business and Talent Development partners on training needs and upskilling at all employee levels and engage with appropriate COEs in the execution and monitoring of programs. Focus on retaining top talent through succession planning and clear career pathing for your business groups. Leveraging Talent Development, to support the business to prepare for and navigate change. Work with the Compensation team to foster the creation and application of effective compensation programs that drive business priorities,retain,and motivate talent. Run annual compensation, performance review, talent review,promotion,and job re-leveling processes for assigned client groups. A key contributor to the Global HR Business Partner Strategy, leading and collaborating on global and regional initiatives. Focus on advancing diversity and inclusion efforts across the business, in particular around hiring, development and retention. With data driven decision making being front of mind, leverage data to analyze trends in the business and inform where to focus resource. Leverage insights proactively to optimize performance and mitigate risks. Use a strong commercial mindset, a deep understanding of your business groups and insight from the external industry to effectively support your business. An ideal candidate will havethe following: Eight+ years of progressive HR Business Partner experience with strong business acumen. Experience working across EMEA, specifically Germany, Ireland, Spain, UAE, and UK. Must be experienced working in a fast-paced, highly collaborative matrixed organization. Highly strategic, influential and a positive challenger to the business in order to deliver the best results whilst equally enjoying a hands-on approach within a truly collaborative team environment. Ability to adapt and be agile, navigate through ambiguity and prioritize multiple work streams without sacrificing quality. Proven experience executing on organizational changes, organizational design and continuous change management. Demonstrated strong internal stakeholder management, both with senior management, frontline employees, and internal support functions. Superior communication, problem-solving, judgement and critical thinking skills. High integrity with the ability to build trusted relationships. Consulting, coaching and facilitation skills. Adept in technical HR knowledge across the various HR functions such as compensation, change management, talent acquisition, employee relations, HR analytics, etc. Results oriented, with a sense of urgency and a focus on service delivery and willingness to be hands-on. Ability to multi-task and prioritize effectively, while ensuring a high degree of accuracy and organization and attention to detail. About GLG / Gerson Lehrman Group GLG is the world's insight network. Our clients rely on GLG's global team to connect with powerful insight across fields from our network of approximately 1 million experts (and the hundreds of new experts we recruit every day). We serve thousands of the world's best businesses, from Fortune 500 corporations to leading technology companies to professional services firms and financial institutions. We connect our clients to the world's largest and most varied source of first-hand expertise, including executives, scientists, academics, former public-sector leaders, and the foremost subject matter specialists. GLG's industry-leading compliance framework allows clients to learn in a structured, auditable, and transparent way, consistent with their own internal compliance obligations and the highest professional ethical standards. Our compliance standards are a major competitive differentiator and key component of the company's culture. Gerson Lehrman Group, Inc. ("GLG") is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, race, religion, color, marital status, disability, gender, national origin, sexual orientation, veteran status, or any classification protected by federal, state, or local law. Gerson Lehrman Group, Inc. ("GLG") is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, race, religion, color, marital status, disability, gender, national origin, sexual orientation, veteran status, or any classification protected by federal, state, or local law.

Marketing science - a sub-team within marketing analytics at Disney Streaming Services (Hulu, Disney+, and ESPN) - is in search of an analyst to run marketing mix models (MMM) and associated ancillary analysis. This position will work as part of a team focused primarily on econometric modeling, which also provides support for downstream practices used to inform marketing investment and plays a hands-on role in modeling efforts. The ideal candidate has a substantial quantitative skill set with direct experience in marketing science practices (MMM, attribution modeling, testing / experimentation, etc.), and should serve as a strong mentor to analysts, helping to onboard new talent in support of wider company goals. Technical acumen as well as narrative-building are integral to the success of this role. Responsibilities Build, sustain and scale econometric models (MMM) for Disney Streaming Services with support from data engineering and data product teams Quantify Return on Ad Spend, determine optimal spend range across the portfolio, identify proposed efficiency caps by channel, set budget amounts and inform subscriber acquisition forecasts Support ad hoc strategic analysis to provide recommendations that drive increased return on spend through shifts in mix, flighting, messaging and tactics, and that help cross-validate model results Provide insights to marketing and finance teams, helping to design and execute experiments to move recommendations forward based on company goals (e.g., subscriber growth, LTV, etc ) Support long-term MMM (et.al.) automation, productionalization and scale with support from data engineering and product Build out front-end reporting and dashboarding in partnership with data product analysts and data engineers to communicate performance metrics across services, markets, channels and subscriber types Basic Qualifications Bachelors degree in Data Science, Computer Science, Engineering, Mathematics, Econometrics, Statistics or related field 5+ years of experience in a marketing science / analytics role with understanding of measurement and optimization best practices Coursework or direct experience in applied econometric modeling, ideally in support of measure marketing efficiency and optimize spend, flighting and mix to maximize return on ad spend (i.e., MMM) Exposure / understanding of media attribution practices for digital and linear media, the data required to power them and methodologies for measurement Understanding of incrementality experiments to validate model recommendations and gain learnings on channel/publisher efficacy Exposure to / familiarity with with BI/data concepts and experience building out self-service marketing data solutions Experience in SQL as well as statistical modeling platforms (Python, R, etc. ) The hiring range for this position in New York, NY & Seattle, WA is $145,500 to $195,000 per year. Santa Monica, CA is $138,900 to $186,200 per year, San Francisco, CA is $152,100 to $203,900 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Role: Senior Product Manager (Data) Location: London (Hybrid - 2 days in the Soho Office) Reports to: Chief Data Officer The role We are on a mission to make home moving easier and simpler. Home movers across the UK spend more than a billion minutes on Rightmove each month and our website and apps receive over 140 million visits per month. The Data & Analytics team plays a pivotal role in delivering the overall Data & AI Strategy underpinning the Rightmove business. We recognise that to deliver the best products and features for our customers/partners and consumers we need to work together effectively as a healthy, high performing team. We work collaboratively across a Hub and Spoke operating model, working together towards Rightmove's strategy. The Senior Product Manager will play a crucial role in both areas by shaping, steering, and delivering the vision for the Data & Analytics domain . This will involve close collaboration with the engineering, design, product teams, and other key stakeholders.Key responsibilities will include: Defining, prioritising, and delivering data products that generate value for users and the business. Being the bridge between data teams, business stakeholders, and technology teams and other product teams, ensuring that data is treated as a strategic asset. Collaborating with Data Leadership to shape the future of our modern, analytical data platform and accelerate the delivery of our AI use cases. What you'll be doing Data Product Strategy & Vision Define the strategic roadmap for data products (Across types such as foundations, marts, analytical dashboards, API's & AI/ML) Align data initiatives with business goals, OKRs, and commercial outcomes Champion data as a product mindset (value-driven, discoverable, reusable, governed) Measure the overall maturity and data strategic success & outcomes Stakeholder Engagement Partner across hubs (Data Platforms, BI, Analytics, AI) and spokes (partner products, consumer products, marketing, finance, data services etc) to understand data and analytical needs Translate stakeholder requirements into clear, actionable data product features Prioritise use cases based on impact, feasibility, and compliance Product Delivery & Lifecycle Management Work with data engineers, analysts, and scientists to build and iterate on data products Use agile methodologies to manage sprints, backlogs, and MVP delivery Own go-to-market planning for internal/external users of data products Data Governance & Quality Ensure products meet standards for data privacy, lineage, quality, and access controls Partner with data governance, legal, and compliance teams (especially under GDPR, EU AI Act) Track data usage, reliability, and technical debt across lifecycle Measurement & Optimisation Define and track success metrics for data product adoption and business impact Continuously gather feedback and optimise the product backlog We're looking for someone who Proven track record of impactful data product delivery - successfully launching and enhancing data products with measurable business results. Technical expertise - strong knowledge of data platforms, cloud ecosystems, data modelling, pipelines, and APIs. Mastery of product management practices - experienced with Agile, OKRs, and roadmaps; naturally agile in mindset and approach. Strategic and commercial acumen - aligns data and AI strategies with long-term business goals, evaluating commercial and operational impact. Cross-functional leadership - empowers and guides teams, values input, and fosters collaboration across distributed teams. Strong communicator - able to simplify complex ideas, engage diverse audiences, and maintain transparency, even in challenging situations. Customer- and outcome-focused - driven to solve user problems, leveraging feedback to create actionable, data-informed strategies. Comfortable with ambiguity and resilience - thrives in uncertain environments, maintaining a positive, solution-oriented approach. Organised and goal-oriented - sets clear, realistic goals, multitasks effectively, and drives vision to execution. Commitment to growth and continuous improvement - passionate about learning, self-development, and enhancing processes across the operating model. About Rightmove Our vision is to give everyone the belief they can make their move. We aim to make moving simpler, by giving everyone the best place to turn to and return to for access to the tools, expertise, trust and belief to make it happen. We're home to the UK's largest choice of properties, and are the go-to destination for millions of people planning their next move, reading the latest industry news, or just browsing what's on the market. Despite this growth, we've remained a friendly, supportive place to work, with employee still working here! We've done this by placing the Rightmove How's at the heart of everything we do. These are the essential values that reflect our culture, and include: We create value by delivering results and building trust with partners and consumers. We think bigger by acting with curiosity and setting bold aspirations. We care deeply by being real, having fun, and valuing diversity. We move together by being one team - internally collaborative, externally competitive. We make a difference by focusing on delivering measurable impact. We believe in careers that open doors, and help our team develop by providing an open and inclusive work environment, offering ongoing training opportunities, and supporting charity fundraising events. And with 88% of Rightmovers saying we're a great place to work, we're clearly doing something right! If all this has caught your eye, you may well be a Rightmover in the making What we offer People are the foundation of Rightmove - We'll help you build a career on it. Cash plan for dental, optical and physio treatments Private Medical Insurance, Pension and Life Insurance, Employee Assistance Plan 27 days holiday plus two (paid) volunteering days a year to give back, and holiday buy schemes Hybrid working pattern with 2 days in office Contributory stakeholder pension Life assurance at 4x your basic salary to a spouse, family member or other nominated person in your life Competitive compensation package Paid leave for maternity, paternity, adoption & fertility Travel Loans, Bike to Work scheme, Rental Deposit Loan Charitable contributions through Payroll Giving and donation matching Access deals and discounts on things like travel, electronics, fashion, gym memberships, cinema discounts and more As an Equal Opportunity Employer, Rightmove will never discriminate on the basis of age, disability,sex, race, religion or belief, gender reassignment, marriage/civil partnership, pregnancy/maternity, or sexual orientation. At Rightmove, we believe that a diverse and inclusive workforce leads to better innovation, productivity, and overall success. We are committed to creating a welcoming and inclusive environment for all employees, regardless of their background or identity, to develop and promote a diverse culture that reflects the communities we serve. Ultimately, we care much more about the person you are, and how you think and approach things, than a list of qualifications and buzzwords on a CV. Even if you can't say 'yes' to all the above, but are smart, self-motivated and passionate about this role, then get in touch.

Engineering Manager, Machine Learning Platform London 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 ️ London or Remote (UK) Base salary for this role is £110,500 - £145,000 (depending on experience) + stock options + Benefits Engineering Manager, Machine Learning Platform Engineering Management at Monzo: Engineering Managers at Monzo are part of cross-functional, autonomous teams and groups. Our teams are mission driven, and typically include Product Managers, backend, web and mobile engineers as well as data scientists, designers and subject matter experts relevant to that mission. Teams are organised into groups, and then collectives - we aim to keep our line management structure as shallow as possible, and for teams to directly own decision making relevant to their work. The Engineering Manager role at Monzo is split into three pillars - people, product, and technical leadership. Engineering Managers are accountable for the technical and delivery outcomes for their area - that means supporting and developing best in class engineering talent, as well as creating an inclusive team environment for people to do their best work. About Machine Learning Platform Engineering at Monzo: The Platform Collective builds and maintains the infrastructure, tools and processes that sets the rest of Monzo technology teams up for success. We work on a wide range of shared infrastructure, services and engineer tooling. The Machine Learning Platform team sits within the Platform Collective and is responsible for designing, building, and maintaining the infrastructure and tools which empower our teams to train, evaluate, deploy, and serve Machine Learning models and features at scale. Our team is made up of backend engineers with experience in the ML space, using our experience and curiosity to work with the ML teams to identify their needs, and test and build magically simple solutions. The Role We are seeking an experienced leader in Machine Learning Platform Engineering to guide a team in developing a robust, scalable, and high-performance ML platform. This platform will cover the entire ML development lifecycle, including model experimentation, training, feature engineering, and serving at scale. You will work closely with ML and Data, as well as the wider engineering discipline, to equip our teams with the tools and frameworks needed to effectively build, deploy, and scale ML-driven solutions. You'll spend your time: Taking accountability for delivery across your squad(s), collaborating with the Technical Lead and the Machine Learning and Data discipline within Monzo to ensure the right projects are being built, and that the platform is being meaningfully adopted and driving positive outcomes. Actively fostering a high bar for engineering excellence within your teams. You're accountable for the technical outcomes your teams deliver alongside individual engineer performance and growth, so holding a high bar (and clearly articulating your expectations) is key. You will lead a team of 5-7 engineers, fostering their professional growth through regular 1:1s and ongoing feedback. Additionally, you will oversee the recruitment and expansion of your team as needed. Partnering with senior engineers in your area to drive technical initiatives that raise the bar for our engineering practices. Leading on communication with stakeholders from other teams, creating focus space for engineers to do their best work. Collaborate with the wider engineering and data organisation to contribute to company-wide best managerial and technical practices and standards. You should apply if: While this is not a role which requires hands-on-coding, we are looking for an experienced manager who has a strong technical and delivery background and has worked as a software engineer and has worked closely, in or with, ML Platforms in past roles. We recognise that engineering managers lead in different ways, we're looking for someone who: Is comfortable operating with ambiguous problem areas with a high degree of autonomy. It's a bonus if you have experience working in an experimentation led environment. Has delivery experience and is able to guide the squads in achieving their outcomes. Focuses on outcomes over processes, who optimises for the highest impact and leverage. Is able to input, understand and challenge engineering decisions - but to empower the team to make those decisions themselves Has an understanding of what good looks like for a high-performing team of engineers and ability to chart a course to get there Is able to to coach people to achieve their goals Has a natural ability to inspire and motivate a team We consider your application across all open EM roles at Monzo independent of which role you've applied for, so if you've recently applied to a similar role at Monzo and have been unsuccessful, please wait 6 months before applying again. How we work : Locations & Flexible Working : Our main tech hub is in London, but our engineers live everywhere in the UK- from Brighton to the Western Isles. We value meeting in person but there's no pressure to come into the office, even if you're nearby. We believe you'll do your best work if you are where you want to be. If you live outside of London and we ask you to come into the office, Monzo will support you with the costs. Our offices are naturally social, especially Tuesdays, Wednesdays and Thursdays, which happen to line up with our twice-weekly Monzo lunches & treat Thursdays ️. Teams also schedule time together often for work and play - in or around the office, or online. Set up a work schedule that delivers impact and fits your life. At Monzo, we value connections, flexibility, and wellbeing. We keep our meetings during core hours to stay connected and believe in maintaining work/life balance. You'll be empowered to manage your work in a way that suits you and your team, giving you the freedom for children drop-offs and pick-ups, walking your dog or adventurous cat, avoiding peak commuting times or gym slots, appointments, or supporting your family in an emergency. Work the way that works for you with Monzo! The interview process: After an initial informal 30 min recruiting call, our interview process involves two main stages: Initial Call Interview (1 hour) You'll meet with one of our Senior Engineering Managers or Engineering Directors. They'll ask you about your previous experience, in particular people leadership, product delivery and technical leadership. They'll ask example based questions ('Tell me about a time when ') Loop Stage (3 hours 30 mins) The Loop stage consists of 3 x 60 min interviews that take place over 1-2 days (depending on your availability) and one 30 minute reverse interview (more details below). The Loop is one stage, and the interviews in the Loop are: - Team and Org Management (1 hour) An example based interview with 1-2 of our engineering leaders. They're interested to hear examples from your previous experience on the teams you've led, how you've shaped and partnered with product, and the impact you had. - System Design (1 hour) You'll partner with a Staff or Principal Engineer on a technical whiteboarding exercise. - Behavioural (1 hour) Similar to Team and Org Management, this is an example based interview with 1-2 Engineering Leaders. This interview focuses on your people leadership style and core behaviours as an Engineering Manager. - Chat with an Engineering Leader (30 mins) At Monzo, we believe interviews are a two-way street. This will be your opportunity to ask us any questions about Monzo, engineering leadership or our teams - whatever's on your mind. All things going well, you'll have completed the hiring process Our average process takes around 3-4 weeks but we will always work around your availability. You'll have the chance to speak to our recruitment team throughout the process. If you'd like to ask a question sooner, email . Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason. What's in it for you: Base salary range for this role is between £110,500 - £145,000 depending on experience + stock options & benefits ️ We can help you relocate to the UK We can sponsor visas We offer flexible working with no company mandate on how often you need to come into the office. You can be London based or remote within the UK (with ad hoc visits to our London office). 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 . click apply for full job details

Job Description Our company has a rapidly growing, interdisciplinary team of scientists in London and exciting plans to expand our London presence. This will initially be at the Francis Crick Institute as part of our 'Skylab' expansion, and from 2027 in our new 'state of art' and fully integrated Research and Discovery Centre at the hub of London's knowledge Quarter. This new building will be home to approximately 180 scientists alongside other colleagues in discovery research, clinical, regulatory and business roles, including marketing, finance and administration. We have an exciting Senior Scientist opportunity for a Biochemist/pharmacologist to join our team at the Francis Crick Institute in London on a 1-year fixed term contract. Working collaboratively with our London discovery teams you will apply your skills in biochemical/biophysical assay development, data analysis, laboratory automation and detection technologies to advance therapeutic programs across the Immunology and Neuroscience therapy areas. If you are lab-focused, scientifically curious and looking to develop your skills, we'd love for you to be part of our diverse and passionate team. In this role you will: Design and execute quantitative biochemical and biophysical assays to identify, characterize, and optimize candidates for therapeutic programs aimed at Immunology/Neuroscience related diseases. Conduct molecular mechanism of action studies to understand compound efficacy and specificity, as well as the downstream impact to biology. Apply automation to functional assays to deliver impactful data at scale. Collaborate on new technology initiatives to evaluate, implement and build internal capabilities. Collaborate with our London-based disease area and genome sciences colleagues as needed to identify our next generation of drug targets. Conceptualize and enact innovative approaches to solve program objectives and issues. Manage project-specific milestones and timelines. Interpret data and communicate science and strategy to stakeholders and management. Take on increasing responsibility within the Quantitative Biosciences group and on project teams as your skills develop. What you will need: Educated to Ph.D, or BSc/MSc level with experience in biotech/pharma; experience in Neuroscience and/or Immunology would be useful but not essential. Proven ability to independently design, implement and interpret complex biochemical/biophysical assays using fluorescence and label-free technologies and associated analytical software solutions. This may include proficiency in techniques such as SPR, thermal shift, FP, TR-FRET and luminescence & absorbance-based techniques. Practical experience in the characterisation of isolated targets, which may include but not be limited to catalytic mechanism determination, compound-inhibitor mechanism of action studies and quantitative measurement of the kinetics of drug-target interactions. An ability to propose new, innovative approaches and experimental designs as needed. Experience with medium to high throughput assay-related data analysis and an appreciation for the related quantitative and statistical concepts. A flexible and collaborative approach to working across teams, projects and departments. Effective written and oral communication skills. The ability to adapt to changing priorities with a passion for innovation and problem-solving. We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another's thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace. The closing date for applications will be 11:59pm on Thursday 14th August. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: Project Temps (Fixed Term) Relocation: VISA Sponsorship: Travel Requirements: Flexible Work Arrangements: Not Applicable Shift: Valid Driving License: Hazardous Material(s): Required Skills: Adaptability, Adaptability, Assay, Assay Development, Biochemical Assays, Cell-Based Assays, Cell Culture Techniques, Clinical Immunology, Communication, Data Analysis, Detail-Oriented, Drug Target Identification, Flow Cytometry, Fluorescence, High Content Screening, Immunoassays, Immunology, Laboratory Automation, Molecular Biology, Neuroanatomy, Oral Communications, Personal Initiative, Project Management, Protein Purifications, Quantitative Assay + 3 more Preferred Skills: Job Posting End Date: 08/15/2025 A job posting is effective until 11:59:59PM on the day BEFOREthe listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID:R359526

Are you passionate about improving health and improving lives? Do you thrive in a dynamic, collaborative setting where your expertise drives innovation and regulatory excellence? Are you a seasoned ecotoxicology expert ready to lead scientific strategy and shape the future of regulatory science? We are currently looking for a visionary Principal Scientist to join our Ecotoxicology team based in Shardlow, Derbyshire , where you will be at the forefront of ecotoxicological testing, shaping strategies, mentoring teams, and delivering high-impact solutions. Your work will influence regulatory decisions and contribute to environmental sustainability. As a senior scientific leader, you will oversee and advance our ecotoxicology initiatives. You'll be the go-to expert for technical excellence, guideline compliance and scientific innovation. Ensuring our services meet the highest standards and support long-term strategic growth. Job Responsibilities will include: Lead scientific development and excellence in ecotoxicology Deliver robust regulatory science aligned with global standards Provide expert consultation and mentorship to scientific teams Interpret complex data and ensure high-quality reporting Collaborate with analytical and operational leaders to optimize outcomes Evaluate and implement new technologies and assay capabilities Represent the organization in client meetings, conferences, and scientific forums Support business development through technical consultation and client engagement What Labcorp can offer you: Competitive salary and a comprehensive benefits package, including health coverage and contributory pension Clearly defined career development opportunities An opportunity to work in a rapidly expanding department A chance to effect positive change within a global organization Skills and experience Extensive experience in ecotoxicology or a related scientific field Proven expertise in regulatory ecotoxicology and scientific reporting Experience with OECD guideline-based method development and validation Strong background in research, data interpretation, and technical process development Excellent communication and presentation skills Proficiency in laboratory systems, Microsoft applications, and statistics Sponsorship and relocation assistance may be available for this role as will a degree of flexible working. Labcorp is proud to be an Equal Opportunity Employer: Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. A dditionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law. We encourage all to apply If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility. Formore information about how we collect and store your personal data, please see our Privacy Statement .

Associate Director, Drug Discovery Toxicology London, England; New York, New York Your work will change lives. Including your own. The Impact You'll Make We are seeking an experienced Drug Discovery Toxicologist who will provide project teams with scientific expertise and leadership for the safety assessment of Recursion programs from early discovery, through to candidate selection and beyond. You will contribute to the assessment and selection of novel drug targets and optimisation of novel candidate molecules using innovative molecular, cellular and in vivo technologies to maximise predictive safety science and investigative toxicology. In this role, you will: Represent Toxicology as the Subject Matter Expert on cross-functional project teams within Discovery Provide expert input, guidance and strategy on project safety assessments, with a specific focus on discovery projects Act as a key resource for early safety assessment during the drug discovery phase, providing scientific knowledge and expertise to cross-functional project teams Use established toxicology screening strategies to predict, assess and mitigate target- and drug-related safety risks in support of the drug discovery portfolio Refine and implement innovative experimental strategies and use the data to assess and/or provide mechanistic understanding of safety issues Collaborate with CROs to ensure best practice for in vitro and/or in vivo safety assessment Prepare verbal and written summaries for internal discussions. Work with the Discovery teams to develop optimal strategies to address specific safety issues within the project teams Present summary data to project teams, Recursion senior leadership and external partners as needed The Team You'll Join Reporting to the Head of Toxicology, you will have responsibility for the safety assessment of compounds moving through Discovery and into Development. As the Toxicology subject matter expert, you will work collaboratively with project team members across functions including pharmacology, DMPK and chemistry to support progression of compounds through the portfolio. The Experience You'll Need DVM, PharmD, PhD in toxicology, Pathology, Physiology, Biochemistry or expertise in related biological scientific disciplines with an emphasis on Oncology/Immunology is preferred. Board Certification in Toxicology (DABT/ERT) is a plus 7+ years experience in safety sciences in the Biotech/Pharma industry Experience in project team membership as a toxicology representative in a matrix environment Experience with in silico and in vitro safety assessment is a must; experience with in vivo safety assessment would be an advantage An in-depth knowledge of discovery toxicology, and experience designing and critically evaluating results of exploratory toxicology studies Experience of secondary pharmacology assessment would be an advantage An understanding of in vitro to in vivo translation of potential toxicities and implications for human safety Broad background in novel methods of identifying potential toxicities and developing risk mitigation plans Experience with the use of AI tools to predict toxicology endpoints would be an advantage Highly motivated scientist, who can work independently, with excellent oral/written communication skills Working Location & Compensation: This is office-based, hybrid role can be based in either ourNew York City or Londonoffice. Employees are expected to work in the office at least 50% of the time. Relocation support can be provided for this role. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is: $182,700 - 229,900 USD for candidates based in the United States £93,500 - £109,700 GBP for candidates based in the United Kingdom You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. The Values We Hope You Share: We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at , or connect onX (formerly Twitter) andLinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job. Create a Job Alert Interested in building your career at Recursion? Get future opportunities sent straight to your email. 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 LinkedIn Profile Website Do you have 7+ years of experience working in life sciences consulting, pharma, or biotech (or a combination of these industries), with a focus on R&D organizations? Select Do you have a knowledge of in vitro safety assessment Select This position can be based at either our New York City or London office. Qualifying candidates who are not local to the area can receive relocation support. Are you local to one of the listed locations OR willing to relocate for this position? Select If you selected "YES," which office are you interested in working at? Select How did you initially hear about this job? Select If you chose Recursion Employee, Recursion Event, or Other, please specify here: Please select the country (or countries) where you have work authorization: United States (USA) None of the above Will you now or in the future require visa sponsorship? Select If you are located in the United Kingdom, what is your current notice period? GDPR Confirmation Select When you apply to a job on this site, the personal data contained in your application will be collected by Recursion Pharmaceuticals, Inc., or its affiliates ("Controller"), which is located at 41 S. Rio Grande Street, Salt Lake City, UT 84101 and can be contacted by emailing . click apply for full job details

Role Description The AI Safety Institute research unit is looking for exceptionally motivated and talented people to join its Safeguard Analysis Team. Interventions that secure a system from abuse by bad actors will grow in importance as AI systems become more advanced and integrated into society. The AI Safety Institute's Safeguard Analysis Team researches such interventions, which it refers to as 'safeguards', evaluating protections used to secure current frontier AI systems and considering what measures could and should be used to secure such systems in the future. The Safeguard Analysis Team takes a broad view of security threats and interventions. It's keen to hire researchers with expertise developing and analysing attacks and protections for systems based on large language models, but is also keen to hire security researchers who have historically worked outside of AI, such as in - non-exhaustively - computer security, information security, web technology policy, and hardware security. Diverse perspectives and research interests are welcomed. The Team seeks people with skillsets leaning in the direction of either or both of Research Scientist and Research Engineer, recognising that some technical staff may prefer work that spans or alternates between engineering and research responsibilities. The Team's priorities include research-oriented responsibilities - like assessing the threats to frontier systems and developing novel attacks - and engineering-oriented ones, such as building infrastructure for running evaluations. In this role, you'll receive mentorship and coaching from your manager and the technical leads on your team. You'll also regularly interact with world-famous researchers and other incredible staff, including alumni from Anthropic, DeepMind, OpenAI and ML professors from Oxford and Cambridge. In addition to Junior roles, Senior, Staff and Principal RE positions are available for candidates with the required seniority and experience. Person Specification You may be a good fit if you have some of the following skills, experience and attitudes: Experience working on machine learning, AI, AI security, computer security, information security, or some other security discipline in industry, in academia, or independently. Experience working with a world-class research team comprised of both scientists and engineers (e.g. in a top-3 lab). Red-teaming experience against any sort of system. Strong written and verbal communication skills. Comprehensive understanding of large language models (e.g. GPT-4). This includes both a broad understanding of the literature, as well as hands-on experience with things like pre-training or fine-tuning LLMs. Extensive Python experience, including understanding the intricacies of the language, the good vs. bad Pythonic ways of doing things and much of the wider ecosystem/tooling. Ability to work in a self-directed way with high agency, thriving in a constantly changing environment and a steadily growing team, while figuring out the best and most efficient ways to solve a particular problem. Bring your own voice and experience but also an eagerness to support your colleagues together with a willingness to do whatever is necessary for the team's success and find new ways of getting things done. Have a sense of mission, urgency, and responsibility for success, demonstrating problem-solving abilities and preparedness to acquire any missing knowledge necessary to get the job done. Writing production quality code. Improving technical standards across a team through mentoring and feedback. Designing, shipping, and maintaining complex tech products. Salary & Benefits We are hiring individuals at all ranges of seniority and experience within the research unit, and this advert allows you to apply for any of the roles within this range. We will discuss and calibrate with you as part of the process. The full range of salaries available is as follows: L3: £65,000 - £75,000 L4: £85,000 - £95,000 L5: £105,000 - £115,000 L6: £125,000 - £135,000 L7: £145,000 There are a range of pension options available which can be found through the Civil Service website. Selection Process In accordance with the Civil Service Commission rules, the following list contains all selection criteria for the interview process. Required Experience This job advert encompasses a range of possible research and engineering roles within the Safeguard Analysis Team. The 'required' experiences listed below should be interpreted as examples of the expertise we're looking for, as opposed to a list of everything we expect to find in one applicant: Writing production quality code Writing code efficiently Python Frontier model architecture knowledge Frontier model training knowledge Model evaluations knowledge AI safety research knowledge Security research knowledge Research problem selection Research science Written communication Verbal communication Teamwork Interpersonal skills Tackle challenging problems Learn through coaching

Job Description - Commercial Data Scientist (16203) Job Description Commercial Data Scientist ( 16203 ) Description Commercial Data Scientist Luton/Hybrid The Team The Commercial departments in easyJet are responsible for allocating, scheduling, pricing and providing inflight services for more than 100 million passengers across the network annually. As a Data Scientist in the Commercial function, you will play a key role in supporting and developing data-driven solutions that enhance strategic decision-making across pricing, revenue management, network & scheduling planning, and inflight retail teams. You'll bring a foundation in data science and a passion for solving commercial challenges through data, algorithms, and experimentation. This role is ideal for candidates with some industry experience or strong academic exposure who are ready to take more ownership and contribute meaningfully to impactful projects. You will report to the Senior Commercial Data Science Manager. This role is ideal for someone with a strong background in mathematical modelling, statistics, economics, or optimisation who if eager to tackle high-impact, system-level decisions in the aviation industry. You will: Collaborate with senior/lead data scientists, analysts, and business stakeholders to scope and define high-impact problems. Conduct in-depth data analysis to identify trends and opportunities in booking patterns, route performance, pricing elasticity, and customer segments. Build, validate, and deploy predictive and optimisation models in Python and SQL for use in either pricing, forecasting, route/network performance, or operational optimisation. Design and support A/B tests and data experiments to measure the impact of commercial initiatives. Work with Data Engineers, MLOps Engineers and BI teams to integrate models into production pipelines and dashboards. Collaborate with Network and Scheduling Planning, Operations, Trading and Revenue Management, Inflight Retail, and IT teams to gather requirements and translate business problems into solvable mathematical models. Communicate findings and recommendations clearly, both in technical detail and at a business level. Contribute to the improvement of internal tools and codebases used across the Commercial Data Science team. Requirements of the Role What You'll Need: Collaborate with senior/lead data scientists, analysts, and business stakeholders to scope and define high-impact problems. Conduct in-depth data analysis to identify trends and opportunities in booking patterns, route performance, pricing elasticity, and customer segments. Build, validate, and deploy predictive and optimisation models in Python and SQL for use in either pricing, forecasting, route/network performance, or operational optimisation. Design and support A/B tests and data experiments to measure the impact of commercial initiatives. Work with Data Engineers, MLOps Engineers and BI teams to integrate models into production pipelines and dashboards. Collaborate with Network and Scheduling Planning, Operations, Trading and Revenue Management, Inflight Retail, and IT teams to gather requirements and translate business problems into solvable mathematical models. Communicate findings and recommendations clearly, both in technical detail and at a business level. Contribute to the improvement of internal tools and codebases used across the Commercial Data Science team. Exposure to pricing, network optimisation, or demand forecasting problems. Experience with data visualisation tools (e.g., Power BI, Tableau). Familiarity with version control (Git), cloud platforms (GCP, AWS, or Azure), or orchestration tools (Airflow). Experience working in or with aviation, travel, retail, or transportation industries . Experience working in Agile product teams or similar collaborative environments These are full-time positions and we typically get together 2-3 times a week. About easyJet At easyJet our aim is to make low-cost travel easy - connecting people to what they value using Europe's best airline network, great value fares, and friendly service. It takes a real team effort to carry over 90 million passengers a year across 35 countries. Whether you're working as part of our front-line operations or in our corporate functions, you'll find people that are positive, inclusive, ready to take on a challenge, and that have your back. We call that our 'Orange Spirit', and we hope you'll share that too. Apply Complete your application on our careers site. We encourage individuality, empower our people to seize the initiative, and never stop learning. We see people first and foremost for their performance and potential and we are committed to building a diverse and inclusive organisation that supports the needs of all. As such we will make reasonable adjustments at interview through to employment for our candidates. JOB FAMILY M&P . Business Area Business Area Commercial Primary Location

Engineering Manager, Machine Learning Platform London 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 ️ London or Remote (UK) Base salary for this role is £110,500 - £145,000 (depending on experience) + stock options + Benefits Engineering Manager, Machine Learning Platform Engineering Management at Monzo: Engineering Managers at Monzo are part of cross-functional, autonomous teams and groups. Our teams are mission driven, and typically include Product Managers, backend, web and mobile engineers as well as data scientists, designers and subject matter experts relevant to that mission. Teams are organised into groups, and then collectives - we aim to keep our line management structure as shallow as possible, and for teams to directly own decision making relevant to their work. The Engineering Manager role at Monzo is split into three pillars - people, product, and technical leadership. Engineering Managers are accountable for the technical and delivery outcomes for their area - that means supporting and developing best in class engineering talent, as well as creating an inclusive team environment for people to do their best work. About Machine Learning Platform Engineering at Monzo: The Platform Collective builds and maintains the infrastructure, tools and processes that sets the rest of Monzo technology teams up for success. We work on a wide range of shared infrastructure, services and engineer tooling. The Machine Learning Platform team sits within the Platform Collective and is responsible for designing, building, and maintaining the infrastructure and tools which empower our teams to train, evaluate, deploy, and serve Machine Learning models and features at scale. Our team is made up of backend engineers with experience in the ML space, using our experience and curiosity to work with the ML teams to identify their needs, and test and build magically simple solutions. The Role We are seeking an experienced leader in Machine Learning Platform Engineering to guide a team in developing a robust, scalable, and high-performance ML platform. This platform will cover the entire ML development lifecycle, including model experimentation, training, feature engineering, and serving at scale. You will work closely with ML and Data, as well as the wider engineering discipline, to equip our teams with the tools and frameworks needed to effectively build, deploy, and scale ML-driven solutions. You'll spend your time: Taking accountability for delivery across your squad(s), collaborating with the Technical Lead and the Machine Learning and Data discipline within Monzo to ensure the right projects are being built, and that the platform is being meaningfully adopted and driving positive outcomes. Actively fostering a high bar for engineering excellence within your teams. You're accountable for the technical outcomes your teams deliver alongside individual engineer performance and growth, so holding a high bar (and clearly articulating your expectations) is key. You will lead a team of 5-7 engineers, fostering their professional growth through regular 1:1s and ongoing feedback. Additionally, you will oversee the recruitment and expansion of your team as needed. Partnering with senior engineers in your area to drive technical initiatives that raise the bar for our engineering practices. Leading on communication with stakeholders from other teams, creating focus space for engineers to do their best work. Collaborate with the wider engineering and data organisation to contribute to company-wide best managerial and technical practices and standards. You should apply if: While this is not a role which requires hands-on-coding, we are looking for an experienced manager who has a strong technical and delivery background and has worked as a software engineer and has worked closely, in or with, ML Platforms in past roles. We recognise that engineering managers lead in different ways, we're looking for someone who: Is comfortable operating with ambiguous problem areas with a high degree of autonomy. It's a bonus if you have experience working in an experimentation led environment. Has delivery experience and is able to guide the squads in achieving their outcomes. Focuses on outcomes over processes, who optimises for the highest impact and leverage. Is able to input, understand and challenge engineering decisions - but to empower the team to make those decisions themselves Has an understanding of what good looks like for a high-performing team of engineers and ability to chart a course to get there Is able to to coach people to achieve their goals Has a natural ability to inspire and motivate a team We consider your application across all open EM roles at Monzo independent of which role you've applied for, so if you've recently applied to a similar role at Monzo and have been unsuccessful, please wait 6 months before applying again. How we work : Locations & Flexible Working : Our main tech hub is in London, but our engineers live everywhere in the UK- from Brighton to the Western Isles. We value meeting in person but there's no pressure to come into the office, even if you're nearby. We believe you'll do your best work if you are where you want to be. If you live outside of London and we ask you to come into the office, Monzo will support you with the costs. Our offices are naturally social, especially Tuesdays, Wednesdays and Thursdays, which happen to line up with our twice-weekly Monzo lunches & treat Thursdays ️. Teams also schedule time together often for work and play - in or around the office, or online. Set up a work schedule that delivers impact and fits your life. At Monzo, we value connections, flexibility, and wellbeing. We keep our meetings during core hours to stay connected and believe in maintaining work/life balance. You'll be empowered to manage your work in a way that suits you and your team, giving you the freedom for children drop-offs and pick-ups, walking your dog or adventurous cat, avoiding peak commuting times or gym slots, appointments, or supporting your family in an emergency. Work the way that works for you with Monzo! The interview process: After an initial informal 30 min recruiting call, our interview process involves two main stages: Initial Call Interview (1 hour) You'll meet with one of our Senior Engineering Managers or Engineering Directors. They'll ask you about your previous experience, in particular people leadership, product delivery and technical leadership. They'll ask example based questions ('Tell me about a time when ') Loop Stage (3 hours 30 mins) The Loop stage consists of 3 x 60 min interviews that take place over 1-2 days (depending on your availability) and one 30 minute reverse interview (more details below). The Loop is one stage, and the interviews in the Loop are: - Team and Org Management (1 hour) An example based interview with 1-2 of our engineering leaders. They're interested to hear examples from your previous experience on the teams you've led, how you've shaped and partnered with product, and the impact you had. - System Design (1 hour) You'll partner with a Staff or Principal Engineer on a technical whiteboarding exercise. - Behavioural (1 hour) Similar to Team and Org Management, this is an example based interview with 1-2 Engineering Leaders. This interview focuses on your people leadership style and core behaviours as an Engineering Manager. - Chat with an Engineering Leader (30 mins) At Monzo, we believe interviews are a two-way street. This will be your opportunity to ask us any questions about Monzo, engineering leadership or our teams - whatever's on your mind. All things going well, you'll have completed the hiring process Our average process takes around 3-4 weeks but we will always work around your availability. You'll have the chance to speak to our recruitment team throughout the process. If you'd like to ask a question sooner, email . Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason. What's in it for you: Base salary range for this role is between £110,500 - £145,000 depending on experience + stock options & benefits ️ We can help you relocate to the UK We can sponsor visas We offer flexible working with no company mandate on how often you need to come into the office. You can be London based or remote within the UK (with ad hoc visits to our London office). 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 . click apply for full job details

Blue Light Card. Individually great, together unstoppable The Role and the Team We're looking for experienced Product Data Scientistto join our Data team in an exciting growth phase to help shape how we do things as we continue to evolve. As a Product Data Scientist, you'll be a key partner and collaborator to teams across Blue Light Card to support them with analytical insight. You'll ensure teams have an in-depth understanding of member and partner behaviour, putting actionable insight front of mind when making decisions and always pushing to use the most up to date techniques you can. What You'll Do Leverage quantitative analysis and data storytelling to uncover user behaviour, identify pain points, and inform product strategy with actionable insights Discover and size new opportunities by generating hypotheses, designing and supporting experiments, and fostering a culture of continuous learning and iteration Define and align key metrics in collaboration with stakeholders, ensuring data accuracy and consistency across teams by partnering with engineers and developers Build and maintain self-serve data tools and dashboards that provide quick access to core insights, empowering teams to make data-informed conclusions Conduct deep-dive analyses to support strategic initiatives, delivering clear recommendations that drive business and product improvements Maintain the central knowledge base by documenting reports, insights, and metric definitions within the Insights Hub to promote transparency and shared understanding Collaborate cross-functionally to identify and close data or capability gaps, while sharing insights and fostering strong relationships across the business Champion a unified data approach, ensuring consistent use of data sources and definitions, while staying current on analytics best practices and industry trends What You'll Bring Extensive experience working with data in an analytical fashion, preferably in a digitally native tech environment Experience using analytical tools/languages, e.g., SQL, dbt, Python, R, as well as BI suites such as Lightdash, Looker, or Tableau Ability to translate business problems into analytical tasks, drawing conclusions and communicating insights to a variety of stakeholders across all levels Experience using data storytelling, including presentation skills and the ability to present a convincing, data-led argument for ideas to internal stakeholders and colleagues Ability to manage your development alongside the senior analytics team, identifying opportunities to improve both yourself and the team in line with market trends A willingness to be a self-starter, and a detail-oriented problem solver, with a strong curiosity to understand user behaviour Team player that is both highly collaborative and individually capable Our Culture Our mission is simple - make heroes happy. Our members are the real-life heroes who keep us all safe, cared for, and thriving. It's what gets us up in the morning and pushes us to go further, think bigger, and create something that truly matters. By focusing on their happiness, we create amazing experiences, deliver unrivalled discounts, innovative products, and world-class service. We don't just follow the usual path - we look for smarter, bolder ways to deliver real impact. We take ownership, move fast, and work shoulder to shoulder to build something special. We're committed to building a diverse and inclusive team where everyone feels they belong. Different perspectives and experiences help us grow, innovate, and better reflect the communities we serve. We promote hybrid working, and value in-person collaboration so encourage time in our offices, where you can make the most of our fully stocked snack drawers - either the HQ in Leicestershire, or London, Holborn office. The frequency and office location will vary depending on the role and team, we aim to be flexible, but we aren't able to offer fully remote working. What We Offer Hybrid workingand flexible hours 35 hour working week Free parking and EV charging onsite at HQ 25 days annual leave plus an additional day off for your birthday, and a buy and sell holiday scheme of up to 5 days A company bonus scheme Your own Blue Light Card and exclusive access to thousands of discounts Generous funded BUPA medical insurance covering pre-existing conditions Group auto-enrolment pension plan Enhanced parental leave and absence leave Healthcare cashback plan Employee assistance programme (including mental health support) and mental health first aiders Great social events e.g., festive party, summer party, team socials, sports matches Regular company-wide recognition events e.g. Monthly Light's Up and The Shine awards Relaxed dress code and modern office space (games area, chill-out areas, bookclub, free drinks/snacks) Onsite gym at HQ (including access to free HIIT & stretch classes) Strong learning and development culture

Are you a strategic thinker with a passion for combating fraud and misuse at scale? Spotify is seeking an interim Lead Data Scientist to step into a critical leadership role on our Revenue Protection Data Science team during a parental leave cover. In this role, you will lead a team of data scientists focused on identifying and addressing sophisticated threats to our business, helping to craft and drive our Revenue Protection strategy. You'll work closely with cross-functional partners to ensure our detection systems evolve with emerging threats, and contribute directly to the resilience of Spotify's global revenue ecosystem. We are all passionate about what we do and move forward with high impact projects at a high pace. Learning and improving is part of our daily routine, and you will be free to develop your skills and ways of working. Our collaborative environment encourages innovation and continuous improvement, making it an exciting place to grow your career. What You'll Do Lead and support a distributed team of data scientists, guiding their day-to-day work, setting priorities, and encouraging a collaborative, high-performing team culture. Balance leadership and people management responsibilities with individual contribution. As part of a small, focused team, you'll remain hands-on in delivering analyses and driving core initiatives. Apply your domain knowledge in payments and fraud to inform detection strategies and partner with stakeholders to evolve Spotify's fraud & misuse mitigation approaches. Leverage your deep expertise in machine learning to inform model development, evaluation, and performance monitoring. Monitor and communicate key performance indicators to track the impact of Revenue Protection initiatives and surface emerging risks and opportunities to business partners. Translate data into strategy by assessing the business impact of new initiatives and threats, ensuring the team's work is aligned with high-impact opportunities. Influence and partner cross-functionally, collaborating closely with Engineering, Product, and Business stakeholders to implement solutions and drive improvements. Communicate clearly and effectively, presenting data-driven insights and recommendations to technical and non-technical audiences, including leadership. Who You Are 5+ years of experience in data science, including experience in the fraud prevention domain. A degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or another quantitative field. Proven leadership experience, either as a people manager or mentor, inspiring others and shaping project direction. Hands-on expertise with machine learning, including applying ML to real-world fraud prevention or misuse detection problems. Proficient in Python and SQL. Experience with Google BigQuery is a plus. Familiarity with dashboarding and data visualisation tools such as Looker, Tableau, or similar. A strong problem-solver who thrives at the intersection of business and data, with the ability to think strategically and act tactically. Comfortable with ambiguity and able to take initiative. Capable of owning loosely defined problems and turning them into concrete, impactful solutions. A thoughtful communicator who builds trust and alignment across functions, and who values collaboration in a fast-paced environment. Someone looking to step into a leadership role or grow as a leader. Whether you're a Senior Data Scientist ready to gain formal people management experience, or a current Lead who's eager to stay hands-on while driving impact in a new team. Where You'll Be This role is based in London. We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world's most popular audio streaming subscription service.