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Job Description Overview Take our vision into the future. You might know us for the great work we do across our wide variety of projects. We're proud to say it's thanks to our people's diversity of thought, expertise and knowledge. And when you join us, you'll be a part of this genuinely collaborative environment, where everyone's voice is valued and treated equally. We're passionate about what we do, but we don't take ourselves too seriously. Simply put, this a great place to be. So, when it comes to your life outside of work, ask us about our flexible and remote working policies designed to help you get the most out of life.AtkinsRéalis is one of the world's leading providers of engineering professional consulting and the UK Infrastructure Project Delivery Practice (PDP) is the centre of excellence for the delivery of infrastructure. We have exciting opportunities for Project managers and Senior Project Managers to join our expanding team in Birmingham. Your role will be to manage the project delivery services to our clients across our Water, Defence, Aviation and Nuclear Market Sectors, support the growth of our team and ensure high levels of client satisfaction through the delivery of high-quality project delivery and commercial management services. As a Project Manager or Senior Project manager you manage the delivery of major multi-disciplinary design projects on our expanding portfolio of the biggest and most challenging projects. Your role Manage successful delivery of the project to agreed targets on programme, budget and quality. Identifying and agreeing project objectives and developing a strategy for achieving these. Identifying and managing any matters that could pose a potential contractual/commercial risk to AtkinsRéalis. Managing the project team - building, motivating, maintaining, coaching and guiding the team. Facilitating communication, co-ordination and information flow with the Client and within the project team, including any subcontractors and partners (internal and external). Assembling and owning the project delivery programme and delivery plans. Protecting the commercial interest of AtkinsRéalis, including timely and accurate invoicing and effective credit control for optimal cash flow (with the support of the finance community). Comparing revenue with predicted costs and identifying risk allowances, margin and provisions - at project set-up and monthly thereafter, including Earned Value reporting. Closing out the project on completion, archiving project documentation, updating market information, ensuring that lessons learnt are captured and disseminated internally and ensuring that a Client Satisfaction survey is initiated. Support business development activities in line with our market strategies and governance. About you Degree qualified, with demonstrable experience managing design commissions and/or design and build contracts on large infrastructure projects. Chartered Engineer/Scientist/PM. Market sector experience across a range of Water, Nuclear, Aviation and/or Defence Infrastructure is an advantage. Excellent interpersonal, organisational and communication skills both verbal and written. Ability to manage and motivate a team and demonstrate good leadership potential. Demonstrable experience in deploying various forms of contract, in particular NEC3 or 4. Self-motivated and able to work both independently and within a larger multi-discipline team. Customer focused with excellent client relationship management skills. A supportive and encouraging approach to mentoring less experienced members of the team. Ability to adapt to different cultures and working environments to build rapport with clients. Reward & benefitsExplore the rewards and benefits that help you thrive - at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life. About AtkinsRéalisWe're , a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people. Additional information Security clearance This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance.We are committed to creating a culture where everyone feels that they belong - a place where we can all be ourselves, thrive and develop to be the best we can be. So, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee resource groups to support all employees. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability. Worker Type Employee Job Type Regular At AtkinsRéalis , we seek to hire individuals with diverse characteristics, backgrounds and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences.

The Role As a Senior Data Science Manager at ZOE, help us turn scientific understanding into actionable algorithms that guide hundreds of thousands of people in changing what they eat. Lead, grow, and coach a high-performing data function that partners across product, engineering, and science to turn data into insights that drive clear, measurable business impact. Set direction and standards for data-driven product development roadmaps, science-led features, and AI product evaluation - balancing hands on technical depth with people leadership and delivery excellence. Team structure Embedded data scientists within product teams, coaching them and setting technical excellence standards; also lead the Product analytics manager and team, proactively supporting stakeholder management and complex data challenges across the company. Reports to the VP of Engineering and work closely with product, engineering, and science leads on strategy, priorities, and day to day execution. The Team You'll manage 4-8 Data Scientists (mix of Senior and mid level) embedded in stream aligned product squads and coordinated through a central Data Science function you lead. You also lead 3-4 Product analysts through a Analytics Manager. Your remit spans: Product decision intelligence: Turn data into crisp, actionable insights that guide strategy and day to day decisions across acquisition, activation, retention, engagement, and health outcomes, including user prediction models that analyse churn and retention; define the right metrics and instrumentation to measure impact. Experimentation tooling & validation: Maintain a rigorous culture of A/B testing and statistical experimentation, using causal methods and guardrail rollouts to validate hypotheses and features before scaling. Science led features: Translate cutting edge research into member impacting features. Own the algorithmic roadmap and quality for ZOE Scores (versioning, evaluation, and integrity of core scoring algorithms). Growing our data science & analyst function deliberately, with top talent, as the scope and impact of the work expand. This role suits a leader who sees data science as a decision and empowerment lever, pairing strong technical depth with clean, reproducible, deployable outputs. What You'll Be Doing Blending a hands on delivery role with people leadership and stakeholder management, setting the standards for Data Science at ZOE. Credible leader of senior data scientists; player coach ( 60% leadership/strategy) Technical leadership and hands on where it moves the needle ( 40%) People & Leadership Foster a healthy, inclusive, high trust culture that blends scientific rigour with product velocity; champion psychological safety and autonomy. Provide technical mentorship on statistics, causal inference, and best practices in experimentation; mentor a Senior DS and analytics manager. Hire, onboard, and develop a diverse team; run effective 1:1s, goal setting, and growth plans. Technical Excellence Champion robust experimentation across cross functional product development teams: power analysis, guardrails, segmentation, and trustworthy readouts. Set the bar for code craft, reproducibility, and model governance - through architecture reviews, documentation, versioning, and run books. Predictive Modelling on user behaviour using best practices. e.g., own churn/retention predictive models and member lifecycle propensity models (win back, upsell, cross sell); partner with Growth/Marketing and Product for interventions. Set strategy for evaluation of ML features (e.g., Photo logging and successors): offline evaluation suites, human in the loop review, online success metrics, and safety and privacy guardrails. Own our data strategy across the data stack, ensuring our insights are built on top of a robust and clean data architecture alongside leadership peers in data engineering and technology. Product strategy & Stakeholder Alignment Communicate progress and insights via concise updates, dashboards, Looms, and exec ready briefs. Be a key voice in a data driven product roadmap: influence priorities with clear success metrics and ruthless trade offs. ️ Our stack BQ/DBT/SQL, Python/FastAPI, GCP/Vertex AI, Kotlin/Spring AI (team dependent). Familiarity with experiment platforms, feature stores/MLFlow, and modern BI/visualisation tools is a plus. We think you'll be great if you Have 2+ years leading data scientists and 6+ years in data science/ML, with clear product impact. Passionate about coaching and building a team that values autonomy, psychological safety, and growth. Bring a track record of data driven product decisions and high quality experimentation; ship ML/AI features where they move the needle. Are fluent in statistics, experiment design, and causal inference; define the right metrics/instrumentation and guide trade offs. Optimise for reversible decisions, take smart risks, and move quickly with imperfect data (). Write and review production grade Python and SQL; set standards for code quality, reproducibility, and model governance. Influence product direction and priorities across embedded squads; communicate complex ideas clearly to varied audiences. Use AI tools pragmatically to boost productivity (from IDE assistants to prompt engineering), applying sound evaluation practices to LLM features. Communicate crisply-decks, dashboards, Looms, exec ready briefs-and influence at the right altitude. Nice to have Ph.D in Computer Science, ML, or related field, or equivalent experience. Experience in health, nutrition, or other regulated domains. Familiarity with LLM evaluation, retrieval augmented systems, and prompt/agent reliability. Experienced in designing and maintaining scalable ML pipelines-from data ingestion to deployment-ensuring reproducibility, model monitoring, and compliance when handling sensitive health data. Exposure to feature stores, real time inference, and online experimentation at scale. Ready to thrive? We want to hear from you The experience, skills, and attributes we've outlined are what we believe will help someone truly thrive in this role. However, we understand that talent comes in many forms. If you are genuinely excited about ZOE's mission and this opportunity, please don't hesitate to apply-even if you don't meet every single requirement listed. We fundamentally value potential and commitment above all else. We are dedicated to fostering growth and providing opportunities for you to learn and develop alongside us.

A leading health technology firm in the UK is seeking a Senior Data Science Manager to lead a dynamic team of data scientists. This role involves turning scientific understanding into actionable insights that guide product strategies and user engagement. Candidates should have substantial experience in data science and proven leadership skills in a high-impact environment. The firm values creativity and a commitment to its mission, fostering potential and growth in its team.

Overview Location: Great Baddow - Hybrid working 2 days onsite per week UK, Europe & Africa: UK: Great Baddow BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Job Title: Senior Research Scientist Requisition ID: 121740 Grade: GG11 Referral Bonus: £5,000 Role and team BAE Systems Digital Intelligence Innovation and Technology is seeking to recruit a senior researcher to join our rapidly expanding Data and Decision Support Capability. The right candidate will join our Advanced Information Processing (AIP) group, specialising in developing novel inference algorithms and the application of AI/ML to sequential data and decision making. You will have the opportunity to deliver a wide range of AI/ML research topics for customers across space, defence, security and commercial sectors, and to maintain strong links with academic partners and grow technical research areas of interest to you. The Data and Decision Support Capability has teams working across AI/ML areas such as RF, EW, radar, sonar, distributed sensing-processing, data fusion, reinforcement learning, autonomy, image analysis and computer vision, generative AI, NLP, knowledge graphs and more. You will work with these colleagues in multi-disciplinary teams. Typical Responsibilities Lead technical delivery of projects, leading junior researchers. Prepare and deliver technical reports, proposals and supporting material. Lead novel research in given topic areas; collaborate with internal/external suppliers and/or leading UK Universities. Develop prototypes and proof of concept demonstrators. Take ownership of tasks in projects and deliver to challenging standards. Work effectively on self-directed projects and as part of a project team. Present results to both technical and non-technical audiences. Mentor junior staff working on similar research topics. Publish and/or patent novel concepts and research findings where appropriate. Essential Knowledge, Skills and Experience PhD or equivalent industry experience in a relevant discipline. Several years of expertise in applying AI/ML and/or statistical signal processing to sequential data and decision-making post PhD. Experience in software development for proof of concept in Python. Experience with machine and deep learning frameworks: TensorFlow, PyTorch, scikit-learn, etc. Domains of Particular Interest RF communications and CEMA Electronic or Electromagnetic Warfare (EW) Tracking and sensor data fusion Radar signal processing Acoustic data processing (including sonar) Distributed sensing and processing Autonomy Human machine teaming Space-domain Awareness (SDA) Positioning, navigation, and timing Pattern of life analytics Why BAE Systems? This is a place where you'll be able to make a real difference. You'll be part of an inclusive culture that values diversity of thought, rewards integrity, and merit, and where you'll be empowered to fulfil your potential. We welcome people from all backgrounds and want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments. Security and Eligibility Please be aware that many roles at BAE Systems are subject to security and export control restrictions. These restrictions mean that factors such as your nationality and place of birth can affect eligibility. All applicants must at a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting, typically with 5 to 10 years of continuous residency in the UK depending on the vetting level required. Division overview Division overview: Capabilities. At BAE Systems Digital Intelligence, Capabilities is the engine that keeps the business moving forward. It is the largest area of Digital Intelligence, containing our Engineering, Consulting and Project Management teams that design and implement defence solutions and digital transformation projects. Company BAE Systems Experience and Education Senior (5+ years of experience) Tagged as: Industry, Machine Learning, NLP, United Kingdom

Devonshire Hayes have partnered with a leading insurance provider committed to innovation, customer-centric solutions, and data-driven decision making. We aim to leverage data and analytics to transform risk management, underwriting, claims processing, and customer experience. We are seeking a strategic Chief Data Officer to lead our data vision and governance. Role The Chief Data Officer will be responsible for developing and implementing a comprehensive data strategy that drives business growth, operational efficiency, and regulatory compliance. This senior leadership role will oversee data governance, data quality, analytics, and advanced data technologies to unlock value from the company's data assets. Key Responsibilities Develop and execute a company-wide data strategy aligned with business objectives. Lead data governance frameworks to ensure data quality, integrity, privacy, and security. Build and oversee the data management infrastructure, including data warehouses, lakes, and analytics platforms. Drive advanced analytics, machine learning, and AI initiatives to enhance underwriting, claims, fraud detection, and customer insights. Collaborate with IT, actuarial, underwriting, claims, and business teams to embed data-driven decision-making. Ensure compliance with data protection regulations (e.g., GDPR, insurance-specific data regulations). Establish metrics and KPIs to measure the effectiveness and impact of data initiatives. Lead and develop a high-performing data team, including data scientists, engineers, analysts, and governance specialists. Manage vendor relationships and evaluate emerging data technologies to maintain a competitive edge. Communicate data strategy and insights to executive leadership and key stakeholders.

Senior Machine Learning Scientist (Viator) London, England, United Kingdom About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believethat making memories is what travel is all about. And with 300,000+ travel experiences toexplore-everything from simple tours to extreme adventures (and all the niche, interesting stuffin between)-making memories that will last a lifetime has never been easier. With industry-leading flexibility and last-minute availability, it's never too late to make any day extraordinary.Viator. One app, 300,000+ travel experiences you'll remember. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonus. "Work your way" with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you'd like. Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Our Values We aspire to lead. Tap into your talent, ambition, and knowledge to bring us - and you - to new heights. We're relentlessly curious. We push beyond the usual, the known, the "that's just how it's done." We're better together. We learn from, accept, respect, support, and value one another- and are creating something remarkable in the process. We serve our customers, always. We listen, question, respond, and strive for wow moments. We strive for better, not perfect. We won't get it right the first time - or every time. We'll provide a safe environment in which to make mistakes, iterate, improve, and grow. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there. You will work on: Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency. Analyse large datasets including daily customer events, product, destination, supplier and pricing info, extracting key insights to spur innovation and improvement. Collaborate with product managers and various business stakeholders to ensure top-quality outcomes to meet internal objectives. Investigate and adopt innovative concepts that offer tangible benefits. Employ techniques like Deep Learning, Bayesian Modelling, Large Language Models, Product embedding, Recommendation Systems, and Computer Vision. To be successful in the role, you'll need: 5+ years of hands-on data science experience. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Awareness of current ML techniques, keen on self-improvement and striving to solve real-world data challenges. Strong skills in SQL and at least one programming language. Experience in ML model productization and a grasp of MLOps. To be comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments. Experience in deploying online solutions and analysing real-time results through A/B testing. To be passionate about mentoring junior members of the team, and have a strong desire to help us perform to the best of our ability. Leadership qualities, autonomy, and team collaboration skills. Clear communication skills, awareness of the audience, and proactive sharing of findings. Actively involved in business networking and able to communicate complex ideas across the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in Large Language Models (LLM), dynamic pricing, image processing, or recommendation systems. Prior experience in e-commerce or at an Online Travel Agency. Job Location: This role offers flexibility, allowing you to work either on-site hybrid or remotely from the UK, Poland, or Portugal. Occasional travel to company offices may be required If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email and let us know the nature of your request. Please include the job requisition number in your message. Apply for this job indicates a required field First Name Last Name Preferred First Name Email Phone Country Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf

Job description Site Name: Cambridge 300 Technology Square, London The Stanley Building, Upper Providence Posted Date: Dec 3 2025 The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics". Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent. Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-time. A Senior Governance Engineer is a leading technical contributor who can consistently take a loosely defined business or technical requirement, architect and build it to a well-defined specification, and execute on it at a high level. You have a strong focus on metrics, both for the impact of their work and for its inner workings / operations. As a Senior Governance Engineer, you will play a crucial role in ensuring our product teams produce reliable, scalable, and secure infrastructure and applications. You will collaborate closely with the platform infrastructure and data operations teams to implement security and governance products within our existing technological infrastructure. You should be deeply familiar with the tools and processes associated with security and governance for regulated industries and able to work with stakeholders to translate those requirements to build efficient and user-friendly products. Key responsibilities include: Design and deploy scalable and reliable governance solutions using a mix of existing technologies, open-source tools, and newly identified integrations. Build and maintain an automated policy engine that integrates with existing authorization systems, uses policy as code, is cloud-native (GCP), and integrated with the other Onyx Platforms and frameworks. Enable governance by design and implementation of user-friendly products through the use of computational and automatable engines and integrations with existing data platforms and pipelines, metadata, and authorization systems. Understand, amplify with Onyx and integrate requirements from security and internal regulatory teams to ensure compliance with security policies and regulations as part of the governance products. Collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient governance products. Use standard agile development SDLC processes for development management, CI/CD, and automation for infrastructure provisioning and deployment processes. Stay updated with the latest trends and best practices in security, governance, and data governance and contribute to the continuous improvement of our overall infrastructure and data platform. Provide technical guidance and mentorship to junior team members, fostering a collaborative and knowledge-sharing culture within the organisation. Troubleshoot and resolve governance related issues and provide technical support to internal teams. Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: PHD +2 years, Master's +4 years or Bachelors +6 years of relevant experience. Knowledge and use of one or more programming languages: e.g., Go, Python, Scala, Java. Experience in utilizing any cloud-based data governance solutions, like Open Policy Agent (OPA), Strya-DAS, Immuta, Privacera, Gatekeeper, AWS Data Governance tools, Google Cloud Data Catalog/DataPlex, or Microsoft Azure Purview, to manage and govern data across various cloud environments. Experience with Policy and Compliance monitoring. Preferred Qualifications: If you have the following characteristics, it would be a plus: Extensive knowledge of computational data governance, data security, compliance regulations, and industry best practices. Experience with managing authorization and authentication as code, integrating with Enterprise role-based access tools. Experience with implementing attribute-based access control. Demonstrated experience building reusable components on top of the CNCF ecosystem including Kubernetes (or similar ecosystem). Experience in modern software development tools / ways of working (e.g. git/GitHub, devops tools, metrics / monitoring, ). Cloud experience (e.g., AWS, Google Cloud, Azure, Kubernetes), including infrastructure-as-code. Application experience of CI/CD implementations using git and a common CI/CD stack (e.g. Jenkins, CircleCI, GitLab, Azure DevOps). Demonstrated excellence with agile software development environments using tools like Jira and Confluence. Passionate about data-management and governance/privacy best practice. If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $136,950 to $228,250. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1- (US Toll Free) or +1 (outside US). GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit

AI Engineer (PhD) - Series A DeepTech AI Company About the Company Our client is a cutting edge deep tech start up that's redefining how enterprises leverage artificial intelligence to automate complex analytical workflows. Having completed a successful Series A funding round, they are rapidly scaling their technology and delivery teams to meet strong enterprise demand. Their mission is to replace traditional, fragmented analytics processes with intelligent AI powered digital workers-autonomous systems that can perform advanced analytics, data science, and decision making tasks continuously, accurately, and at scale. The Role You'll collaborate with senior stakeholders, data scientists, and product teams at some of the world's most recognized enterprises-translating complex business problems into elegant, scalable AI solutions. What You'll Do Lead the design and delivery of agentic AI systems and LLM based workflows for top tier enterprise clients. Partner directly with technical and business teams to identify pain points and architect high impact AI driven solutions. Build and deploy production grade systems leveraging LLMs, RAG pipelines, multi component AI programs (MCPs), and agent frameworks. Conduct applied research to solve novel, previously unseen problems-bringing cutting edge innovation from concept to production. Contribute to internal research initiatives and thought leadership, shaping the evolution of AI automation in enterprise contexts. What You'll Bring PhD in a STEM field (Computer Science, Machine Learning, Mathematics, Physics, or related discipline). Your research background enables you to tackle complex, ambiguous problems with scientific rigor and creativity. Proven hands on experience building and deploying LLM based or agentic systems in production environments. Strong understanding of RAGs, MCPs, and scalable AI architectures. A forward deployed engineering mindset-comfortable engaging directly with clients to understand business needs and deliver measurable results. Excellent communication and problem solving skills, with the ability to translate between technical and commercial perspectives. Why Join Be part of a fast growing Series A company that's transforming how enterprises use AI. Work on real world, high impact AI projects with globally recognized clients. Collaborate with some of the brightest minds in AI and applied research. Join a culture that prizes curiosity, ownership, and performance-where winning as a team is the ultimate goal.

Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. For more information, see our website at Our Value Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission . Diversity at Altos We believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment. - What You Will Contribute To Altos We have an opportunity available for a Data Scientist to work in the field of cells, genomics and related areas. Responsibilities - Generate insights and models from multi-omics datasets (using public and internal data) to understand patterns, trends and relationships within data to inform decision-making and solve problems. Design, develops and programs methods, processes, and systems to extract, consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights. Build databases and is responsible for the curation of Data, including experimental data management. Extracting knowledge, insights and predictions from data using statistical methods, machine learning and data visualization. Work with scientists to identify optimal ways to prepare, annotate, store and navigate their datasets, including data application design and improvement. Define and document best practices for capturing and entering experimental metadata, and educate scientists and collaborators about these standards. Build pipelines for quality control, processing and analysis of raw targeted and un-targeted datasets. Develops and codes software programs and leverages algorithms and methodologies being developed by the scientific community for use cases of relevance to Altos Labs. Stay current with and adopt emergent analytical methodologies, tools and applications to ensure fit-for-purpose and impactful approaches. Partner closely with the Lab scientists and researchers to identify opportunities for data and insight mining to accelerate research. Embed analyses and visualizations in automated reports. Who You Are Minimum Qualifications - PhD in interdisciplinary quantitative science such as Biology, Chemistry, Computer Science, Physics, etc. Relevant work experience in either an academic or industry setting. Working knowledge of cell biology and experience in large scale data analysis and statistical modeling on datasets like RNA-seq, ATAC-seq, protein network, pathways, etc. Proven track record of completed scientific projects as evidenced by publications and preprints. Strong breadth and expertise in Statistical analysis, machine learning, data visualization, programming (Python, R, etc.), data cleaning and data manipulation. Tools: Python, R, SQL, TensorFlow, Scikit-learn, Tableau, Power BI. Ability to generate high quality ideas and be self-driven to explore. Strong experience in programming and comfortable modifying existing code-base. Experience with Python, R data cleaning and data manipulation or other related scientific languages. Willing to work in a collaborative environment and share periodic updates across the company. Preferred Qualifications - Strong and demonstrable experience working in an AWS compute environment is a major advantage. Experience integrating prior knowledge from public databases (e.g., KEGG) into omics data analysis pipelines. The salary range for Cambridge, UK : - Scientist I, Data Science : £64,600 - £87,400 Senior Scientist I, Data Science : £88,000 - £132,000 Exact compensation may vary based on skills, experience, and location. Before submitting your application: - Please click here to read the Altos Labs EU and UK Applicant Privacy Notice ( bit.ly/eu_uk_privacy_notice ) - This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment. What We Want You To Know We are a culture of collaboration and scientific excellence, and we believe in the values of inclusion and belonging to inspire innovation. Altos Labs provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Altos currently requires all employees to be fully vaccinated against COVID-19, subject to legally required exemptions (e.g., due to a medical condition or sincerely-held religious belief). Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging. Note: Altos Labs will not ask you to download a messaging app for an interview or outlay your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate and has nothing to do with Altos. Learn more about a common job scam at

About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award-winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. About the team Our Government and Public Services business unit is committed to leveraging AI for the benefit of individual citizens and the public good. From our work informing strategic government decisions, to optimising our NHS, through to protecting children from harmful online content - we know that AI offers opportunities to drive improvements at every level of Government and we are proud to lead on some of the most impactful work happening in the sector. About the role As a Lead Learning Engineer at Faculty, you'll ensure our AI-powered education solutions are grounded in learning science, measurably effective, and set a global standard for education innovation and excellence. You will set the strategy for learning design and evaluation, drive the creation and adoption of our Learning Engineering Playbook, and ensure our products genuinely improve how people learn. Working closely with senior leadership and cross-functional teams, you will architect scalable, data-rich learning systems and guide others to embed best-in-class learning science into our product development. What you'll be doing: Leading the design of learning goals, skill models, adaptivity logic, and feedback systems across flagship education projects. Creating and owning Faculty's Learning Engineering Playbook, defining best practices for scaffolding, feedback loops, measurement rubrics, and data instrumentation (i.e., how we track learning progress through user interactions). Designing and overseeing rigorous evaluations including formative, summative, and quasi-experimental studies to test product effectiveness and improve learning outcomes. Collaborating with product, data science, and engineering leads to co-architect learning systems that are technically robust and pedagogically sound. Coaching and mentoring Learning Engineers and cross-functional colleagues (PM, UX, DS) to apply learning science principles in day-to-day product decisions. Acting as the internal and external subject matter expert on learning science, representing Faculty in strategic conversations with senior clients. Who we're looking for: You have expert-level knowledge of learning sciences, instructional design, and cognitive or behavioural science. You've led the design and evaluation of complex digital learning systems, especially adaptive or AI-driven tools at scale. You bring deep expertise in defining data instrumentation and running robust evaluation strategies to measure learning impact (e.g., mastery, retention, transfer). You can partner confidently with data scientists and engineers to design adaptive systems and telemetry pipelines rooted in pedagogy. You're an excellent communicator with the ability to influence senior stakeholders and guide product strategy through the lens of learning science. What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.

Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we've worked with over 350 global customers to transform their performance through human centric AI. You can read about our real world impact here. We don't chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we're always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch defining technology, join a company where you'll be empowered to envision its most powerful applications, and to make them happen. About the team Our Retail and Consumer experts are dedicated to helping clients in an industry which is being transformed by new technologies and evolving consumer expectations. Leveraging over a decade of experience in Applied AI, we combine exceptional technical and delivery expertise to empower businesses to adapt and thrive. About the role As a Senior Machine Learning Engineer, we'll look to you to lead development and deployment of cutting edge AI systems for our diverse clients. You'll design, build, and deploy scalable, production grade ML software and infrastructure that meets rigorous operational and ethical standards. This is an ambitious, cross functional role requiring a blend of technical expertise, engineering leadership, and confident client facing skills. What you'll be doing: Leading technical scoping and architectural decisions for high impact ML systems Designing and building production grade ML software, tools, and scalable infrastructure Defining and implementing best practices and standards for deploying machine learning at scale across the business Collaborating with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities Acting as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies Mentoring and developing junior engineers, actively shaping our team's engineering culture and technical depth Who we're looking for: You understand the full ML lifecycle and have significant experience operationalising models built with frameworks like TensorFlow or PyTorch You bring deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systems You have demonstrable hands on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure You've extensive experience working with container and orchestration tools such as Docker & Kubernetes to build and manage applications at scale You thrive in fast paced, high growth environments, demonstrating ownership and autonomy in driving projects to completion You communicate exceptionally well, confidently guiding both technical teams and senior, non technical stakeholders Our Interview Process Talent Team Screen (30 minutes) Pair Programming Interview (90 minutes) System Design Interview (90 minutes) Commercial Interview (60 minutes) Our Recruitment Ethos We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We're united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. Some of our standout benefits: Unlimited Annual Leave Policy Private healthcare and dental Enhanced parental leave Family Friendly Flexibility & Flexible working Sanctus Coaching Hybrid Working (2 days in our Old Street office, London) If you don't feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please do apply or reach out to our Talent Acquisition team for a confidential chat - . Please know we are open to conversations about part time roles or condensed hours.

Career Opportunities: Data Scientist (10888) Requisition ID10888-Posted - Years of Experience (1) -Technology- Where (1) -Job Data Reply is the Reply Group company offering a broad range of analytics and data processing services. We operate across different industries and business functions, working directly with executive level professionals, enabling them to achieve meaningful outcomes through effective use of data. We find that one of the biggest problems experienced by our clients today is being overwhelmed with the amount of data that they face and not knowing how to leverage it to their advantage. The vast landscape of available technology stacks and models means that choosing the right ones can be a daunting task. Most companies know that their data is valuable, and that they should be making the most out of it to stay competitive, but often don't know where to begin or what to prioritise. At Data Reply, we pride ourselves on helping clients make the right decisions to build their data strategy. With our consultants' expertise, we map the right technologies to meet our clients' business needs. We deal in bespoke solutions, and offer in house training to ensure that our clients realise the full value of their big data solution. Role Overview As a Data Scientist at Data Reply, you will play a hands on role in designing, building, and deploying data driven solutions using machine learning (ML) and generative AI (GenAI) techniques on AWS. You will work alongside senior data scientists and engineers to transform business problems into scalable ML solutions and contribute to end to end project delivery in an enterprise setting. This role is ideal for someone with 1-2 years of professional experience in data science who has worked on at least 2-3 enterprise level projects and is eager to deepen their expertise in modern ML frameworks, cloud technologies, and emerging AI domains such as computer vision or GenAI. Responsibilities Develop, train, and evaluate machine learning models using Python and popular frameworks (scikit learn, TensorFlow, PyTorch) Conduct exploratory data analysis, feature engineering, model optimization, and apply statistical modeling techniques Build and deploy ML models on AWS SageMaker, collaborating with MLOps engineers to integrate solutions using AWS services Ensure responsible AI by implementing model explainability and bias detection techniques Apply deep learning models (e.g., RNN, LSTM) on client projects and prototype new AI capabilities (multi modal, synthetic data, agent based systems) Work with cross functional teams to deliver scalable AI solutions, and translate technical results into client recommendations Document methodologies, maintain reproducibility, share knowledge internally, and stay updated on trends in data science and cloud ML About the Candidate 1-2 years of hands on experience in data science or applied machine learning in an enterprise setting Strong understanding of AWS services, particularly SageMaker, S3, and Bedrock Proficiency in Python with experience using NumPy, pandas, scikit learn, and one deep learning framework (PyTorch or TensorFlow) Experience working with structured and unstructured data, using SQL or Pandas for data manipulation Experience using Git, Jupyter Notebooks, and collaborative environments Experience in computer vision, natural language processing (NLP), or generative AI applications Familiarity with LangChain, Hugging Face, or OpenAI APIs for working with LLMs Experience with data pipeline tools (e.g., Airflow, Step Functions) or data validation frameworks (e.g., Great Expectations) Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skin colour, marital status or parental status or any other characteristic protected by the Law. Reply is committed to making sure that our selection methods are fair to everyone. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need.

Suite 1A, 1st Floor, York House, York Street, Manchester M2 3BB, GB We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer centric service design, and agile engineering practices to accelerate innovation in a tech driven world. Join our Digital & Data team working alongside product, design and a wide range of other experts and cross disciplinary teams to bring ideas to life through innovative software solutions. Grow a flexible and unique career within a trust based, inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn't align with what you want to do. Hybrid working - our approach is to be in the office or on client site minimum of 2 days per week. Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same Join other experts within our supportive and collaborative tech community through knowledge sharing and peer level support, coaching and mentoring Deepen your expertise through our a culture of learning and growth - you'll have budget to take courses (technical and non technical training), plus gain certifications While we advocate for using the right tech for the right task, you can expect to work with the following technologies to ensure scalable, high performance applications: Architecture frameworks: TOGAF, Zachmann, MODAF Agile methodologies: SAFe, Scrum, Kanban Modeling tools: UML, ArchiMate, Ardoq What you can expect Create and assure key architecture artefacts (e.g., Key Design Decision, Technical Options Paper, High Level Design) Collaborate closely with Engineering teams, often taking a lead SME role to define vision and establish Architectural Guardrails. Support senior leaders in shaping their case for change, leading on cost estimation and detailed planning. Work to agile best practices and cross functionally with multiple teams and stakeholders. You'll be using your technical skills to problem solve with our clients, as well as working on internal projects Hybrid working with the team on client site or in our office a minimum of two days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site. An environment that deeply cares about its values Qualifications Essential requirements Even if you don't meet every requirement below, feel free to still apply as we are often hiring for similar roles which your background might be better suited to. Hands on Software Engineering background with experience leading engineering teams to deliver applications and services. Clear understanding and practical application of architecture and delivery methodologies. Operate confidently across all architectural domains with a specialism in at least one: Business, Data, Application, Technology, and Security. Commitment to continuous improvement and professional development. You thrive in problem solving and analytical thinking You enjoy collaborating with multiple stakeholders in a fast paced environment Certifications in appropriate methodologies and cloud technologies are advantageous. We're technology agnostic, using the right tools for the job at hand, and you'll have access to our strong partnerships with AWS, Azure and GCP. We're interested to hear from Solution Architects with experience across the majority of leading vendors including Azure, AWS, Google Cloud Platform, Oracle, IBM, Salesforce and more. Additional information Quick video call with one of our Tech Recruiters - to discuss your application, the role and PA Round 1: Either a competency or technical interview (60 mins) Round 2: Either a competency or technical interview, whichever you didn't do at first round (60 mins) Final round : Meeting with a PA leader - a discussion around your client centricity (45 mins) Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples' working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world's most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. We are dedicated to supporting the physical, emotional, social and financial well being of our people. Check out some of our extensive benefits: Health and lifestyle perks accompanying private healthcare for you and your family 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days Generous company pension scheme Opportunity to get involved with community and charity based initiatives Annual performance based bonus PA share ownership Tax efficient benefits (cycle to work, give as you earn) We're committed to advancing equality.We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief veteran status, or other by any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on

Roke, Roke Manor, Romsey, Hampshire, United Kingdom Job Description Posted Monday 15 December 2025 at 01:00 Great ideas come from different minds. That's why we bring together engineers, scientists, analysts, and creatives from every background - and give them the trust, tools, and freedom to make a difference. What connects us is the mission: solving meaningful problems and building capability that protects what matters most. And as the challenges evolve, so do we - working on the technologies that will shape tomorrow, not just today. At Roke Roke imagines a more secure world where technology protects, where engineers, consultants and business staff collaborate to protect what matters most to our clients. Roke is a leader in the development of cutting edge technology solutions for the defence industry with clients spanning National Security, Defence and Intelligence areas. We work alongside our customers to solve their complex and unique challenges. Roke's Defence Business Unit provides technology innovation and consultancy to a variety of military users, applying our skills in Cyber & Networks, Agile Software, Consulting & Systems Engineering, Sensors & Communications, AI & Machine Learning, Information Assurance & Human Science and Data Science. The Job Opportunity Roke is seeking a Senior Software Engineer to join a team working on software for products in the RF communication and sensors domain. You will be responsible for the detailed design, implementation and testing of components of the product software, working with the agile team Product Owner and System Design Authority. The role requires individuals who can work closely with an agile software team, applying their technical knowledge and domain experience, whilst communicating effectively with a wide range of internal and external stakeholders. There is a degree of flexibility as to the agile tasking within the agile software team, depending on your expertise, the role can flex to focus either on Modern UI design and implementation or Embedded software development. For the right candidate with team leadership or line management experience, the role could also entail a line management component. This aspect would involve responsibility for the day to day support and guidance of his team, reporting on performance and helping with resourcing. Individuals must be able to work effectively in a highly technically challenging but rewarding environment, able to quickly assess trade offs and lead on technical decision making. Key Responsibilities As a Senior Software Engineer your responsibilities will include: Detailed design of components of the product software Implementation and testing of software as part of an agile software team Gaining understanding of existing Roke EW system products and future development agendas. Essential skills will include BEng/BSc and/or master's degree in an appropriate engineering, computer science, information systems or related subject. Knowledge of Sensor and Communication systems. Software engineering experience from R&D concept through to the full product development lifecycle Modern software architecture practices Experience of some kind of scientific application/DSP, including algorithm implementation Capability in multiple languages and switching between languages rapidly, e.g. C++/C#/Python Comfortable with modern agile development practices e.g. Scrum/Kanban Comfortable with modern software tooling e.g. Gitlab, Git, VS Code Ideally you will have experience in some of the following: Experience of modern UI design. Embedded software development (cross compiling, deployment). Linux OS and tools, kernel drivers DevOps (Gitlab CI/CD scripting, pipelines, Docker) Team Leadership or Line Management experience Why You Should Join Us We have a competitive salary and access to a number of additional flexible benefits, which will cover Health and Wellbeing, Savings and Protection and Life, Leisure and Entertainment. Roke has a great community of groups with shared interests. These enable people to share ideas and be passionate about tools, technologies and techniques, which interest them. We are committed to a policy of Equal Opportunity, Diversity and Inclusion. Our working environment is friendly, creative and inclusive and support a diverse work force and those with additional needs. Security Information Due to the nature of this position, we require you to be willing and eligible to achieve a minimum of SC clearance. To qualify, the candidate should be a British Citizen and have resided in the UK for the last 5 years for SC. For more information about clearance eligibility, please see The Next Step Click apply, submitting an up to date CV. We look forward to hearing from you. Roke, Roke Manor, Romsey, Hampshire, United Kingdom

Stantec's market-leading Environmental Services group supports clients in the environmental, geotechnical, and water sectors. We work with businesses and water companies across the UK and occasionally internationally. You will join a friendly team of over 80 Hydrologists, Hydrogeologists, Water Resources Planners and Water Quality Scientists as part of our wider Water Environment Team. These team projects include enhancing the resilience of the public water supply and reducing the impact of wastewater treatment infrastructure on the water environment, with opportunities to contribute to flood risk modelling, sustainable drainage systems (SuDS) Modelling, and nature-based solutions. As a Senior Hydrologist / Hydraulic Modeller, your project work will likely cover areas including: Flood hydrology and hydraulic modelling studies incorporating the impact of climate change. Completion of Flood Risk Assessments to support planning applications. Low flow assessments and water systems modelling to define the availability of water for supply during droughts. Design and test nature-based solutions to assist with flooding and water quality improvements. Climate change risk assessments of assets or portfolios of assets. You will be expected to have responsibility for: Delivering water resource management, hydrological and hydraulic Modelling, drainage and flood mitigation, and climate impact assessment projects. Managing projects and maintaining client relationships. Assisting with winning work and the development of new business within the water environment team. Providing technical guidance, support and training to junior colleagues and assisting, where practicable, in the mentoring and development of others. Although the remit is national, this role will ideally be based in either our Bristol and Cardiff offices or Leeds and Newcastle. About You You will ideally have skills in hydraulic and hydrological Modelling, factual and interpretative reporting, data management, analysis, and presentation of results. You will hold a degree in a relevant subject, such as environmental science, civil engineering, geography, or another related discipline with a strong hydrology or hydraulics focus. You should have several years' experience in hydrology, flood risk and/or drainage, with a preference for a consultancy background. In particular, you should be able to demonstrate significant technical experience in some or several of the following areas: Preparation of Flood Risk Assessments. Hydraulic Modelling linked 1D-2D modelling packages, e.g. Flood Modeller-TUFLOW, HEC-RAS, MIKE FLOOD, InfoWorks ICM. Completion of fluvial, pluvial and tidal hydraulic modelling projects and the selection and design of flood protection systems. Sustainable Drainage Systems (SuDS) - principals and design (e.g. using WinDes MicroDrainage or Causeway Flow) and green-blue infrastructure planning, Hydrological Modelling through the application of the FEH methods to estimate peak river flows and flood hydrographs using ReFH2 and WINFAP modelling packages. Working with hydrometric data, analysis of gauging station flow and level records, interpretation and development of ratings curves for gauging stations. Calibration of rainfall-runoff models to match observed rainfall data to gauged flow data Low flow studies/droughts assessments. Environmental Impact Assessments - water resources and quality, drainage, flood risk, Water Framework Directive assessments. GIS software (QGIS/ARC), coding (e.g. Python) and database management will also be a valuable asset. Chartered (or near Chartership) with an appropriate professional body. Managing, training and mentoring junior staff. In addition, some experience in the following areas would also be a distinct advantage: Water quality assessments and Modelling (including sediment transport). Quarry or Mining Specific FRAs/FCAs. River restoration studies (e.g. weir removal impact assessments). Water resources assessments. Integrated Catchment Management - i.e. to achieve flood risk and water quality benefits. Climate change impact assessment and adaptation planning. About Stantec The Stantec community unites more than 34,000 employees working in over 450 locations across 6 continents. We have been working with our clients and communities in the UK for over 150 years. We plan, design, deliver and manage the development and infrastructure needed to support the creation of sustainable, healthy and prosperous communities. Our teams provide effective and relevant solutions, translating our clients' vision into valued consents, deliverable plans for projects and programmes, and efficient designs for delivery, based on technical excellence and deep market insights. We deal with today's challenges, but also keep a fairer, better tomorrow in sight, looking at how we deliver clean growth, support radical changes in our economy and meet the needs of future communities. Stantec provides equal employment opportunities to all qualified employees and applicants for future and current employment and prohibit discrimination on the grounds of race, colour, religion, sex, national origin, age, marital status, genetic information, disability, sexual orientation, gender identity or gender expression. We prohibit discrimination in decisions concerning recruitment, hiring, referral, promotion, compensation, fringe benefits, job training, terminations or any other condition of employment. Stantec is in compliance with laws and regulations and ensures equitable opportunities in all aspects of employment. Building an inspired, inclusive work environment that attracts, supports, and develops world-class talent is a crucial key to our success. If you are excited by this role but worry that your experience doesn't exactly align, we encourage you to apply. At Stantec we want you to perform your best at every stage of the recruitment process and are committed to ensuring it is accessible to all. If you need any support or require adjustments to be made then please contact we will talk to you about how we can support you. ReqID: 7328

We are a team of world-leading battery experts, data scientists and engineers from all walks of life, with experience delivering in the lab and on the racetrack. We answer real-world challenges We take a customer-orientated approach in creating products that answer the real-world challenges of today, with the foresight to deliver industry-defining and future-proof solutions. We work with integrity We treat everyone with respect, be it colleagues or customers, and are inclusive, transparent and honest in everything we do. We focus on the value-add We value ideas based on their merit, regardless of where they come from, regardless of title, status or background. Join our team Location Kidlington , London Employment Type Full time Location Type Hybrid Department Deadline to Apply December 16, 2025 at 12:00 AM GMT Job Title: Cloud Application Engineering (Senior or Engineer level) Location: Kidlington or Central London location (1 day per week travel to Kidlington still required) Working Conditions: Hybrid - 3 days office / 2 days WFH Position: Permanent Elysia is a Battery Intelligence company redefining how batteries are understood, optimised, and deployed. Blending electrochemistry, software, and data science, they operate across the entire battery value chain, automotive, BESS, and heavy-duty platforms, backed by Fortescue's £40B+ sustainability ecosystem. They're now looking for a Cloud Application Engineer to join their growing technical delivery team. This is a 90% technical, 10% customer-facing role where you'll be building and customising data pipelines, integrating battery analytics into customer-specific frameworks, and collaborating with both the product and cloud development teams. Role Purpose: You will act as the primary technical contact on customer-facing projects to translate requirements and provide technical support under the joint supervision of the technical specialist and core cloud development team. You will be building automated customer pipelines for battery analytics by integrating and customising the existing codebase into customer-specific orchestration frameworks, taking requirements from the product development team and/or existing customers. The aim is to produce business-relevant, actionable battery insights through an understanding of both battery electrochemistry and systems integration. You will collaborate with the broader cloud team in the development of the Battery Intelligence Cloud Platform. The purpose of the team is to accelerate electrification globally by maximising, protecting, and assuring the performance, safety, and reliability of the battery through its lifecycle through advanced software and battery analytics. You will act in a technical capacity for cloud-hosted battery analytics. You will have a position in the application of battery diagnostic and prognostic algorithms, which will be embedded in data pipelines communicating battery performance, safety and lifetime insights to clients. Experience handling/interfacing with customers. Strong data science background (statistical modelling, machine learning, or applied analytics). Proficiency in Python for data analysis, modelling, and cloud applications. Automotive domain knowledge or experience (e.g. vehicle systems, electrification, battery applications). Broader exposure to areas such as electrochemistry, power systems, energy storage, physics, chemistry, or chemical engineering is beneficial but not essential. Job Responsibilities: The employee will be delivery-focused with a pragmatic, product-oriented approach to development. Integration of battery analytics: Build orchestration frameworks of battery algorithms to evaluate the performance, lifetime and safety of batteries in live operating environments Enhancing and adapting existing algorithms to optimise performance for specific customers Understand the scalability and robustness of algorithms using both data-driven and physics-informed approaches, to integrate correct elements to provide optimal solutions for clients Understand customer requirements and translate them into technical solutions Ensure the validity of outputs in an automated environment and support customers in interpreting the results of Elysia's products Understand Elysia's evolving position in target markets and value proposition to build algorithms generalisable across different use cases Why this opportunity: Elysia offers the best of both worlds because you get to enjoy the best parts of a start-up but the with stability of a blue-chip giant. Elysia has over 60,000+ real-world battery data from commercial/motorsport vehicles that they use to support development. Elysia wants to be the go-to Battery Intelligence partner! Recently signed a partnership with a major European OEM to provide Battery Intelligence for future vehicles. (Already saved this OEM a £500 million recall from Elysia's technology) Full life cycle project exposure working on multiple projects Technical empowerment opportunities & opportunities to progress your career by becoming a Subject matter expert or progressing into management Exposure to next-generation technology Diversity & Inclusion: We are an equal opportunities employer. You do not need to match every listed expectation to apply for this position. At Elysia we are committed to building a team that encompasses a variety of backgrounds, experiences and skills, and encourage the diversity of thought that comes from all walks of life. If you have a disability or require reasonable adjustments, we are more than happy to discuss and support you in your application.

A leading technology firm in Manchester is seeking a Senior Data Scientist to enhance data-driven solutions for government and law enforcement. The candidate should have substantial experience in data analysis and machine learning, with strong problem-solving skills. This full-time role offers a flexible hybrid working model and a supportive environment aimed at continuous learning and innovation.