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🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as and bank accounts, we offer , , a and in the UK, with more exciting things to come beyond. Our UK customers can also , and _ with us. 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/Cardiff/UK Remote | 💰 £86,000-105,000 + | ✨ About us: At Monzo we want to make money work for everyone. We care deeply about our 15+ million customers. Through magically simple products and actionable insights, we put our customers in control of their finance. Our products are different by design, and reliable at our core. Our range of borrowing products are critical to Monzo’s mission. Not only do they serve important needs of our customers, they are also a key revenue driver to support Monzo keep delivering great products and experience. We have seen stellar growth and deep engagement with millions of borrowers, supported by effective and efficient credit risk management. Our product portfolios are still expanding fast, from personal to business credit, and markets beyond UK. We are looking for bright, passionate and creative individuals to further accelerate our growth. About the role The mission of Borrowing ML Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and Statistical modelling. We have a primary focus in credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing, collection and marketing. You will be working alongside a team of very experienced and highly efficient ML Scientists, with well established toolings for the fully lifecycle of ML models. Each of you owns multiple ML applications end-to-end, from experiment design and data curation, to deployment and monitoring. You will be empowered to innovate in the data, methodologies and toolings, so we can build better models easier and faster. You will have exposure to all Borrowing products and applications, with autonomy to decide what are the most impactful topics to work on, and how to deliver them. You will work closely with our Credit Strategy Managers, Model Validation Analysts, Backend Engineers, and Product Managers, to fit your model development into the product roadmap. You are also empowered to think big about the business, market and customers, to influence our product and credit strategy beyond just the world of models. Our technology stack We rely heavily on the following tools and technologies (although we do not expect applicants to have prior experience of all them): • _ for all of our analytics usages, • and for our data modelling and warehousing, • PyData stack for model development and offline deployment, • Google Vertex AI platform for cloud computing, • _ for backend infrastructure, • Python for ML model microservices, • Go lang for most other microservices, • AI toolings for productivity (an evolving list), • Google suites including access to Gemini, • ChatGPT enterprise, • Claude code 🤩 You should apply if: • You are result oriented and motivated by the impact on our customers and business, • You enjoy a high degree of autonomy and thrive in a fast-paced environment, • You are keen to grow your knowledge in both business and technology 📌 You must have: • Excellent SQL and Python skills with good understanding of best practices in software engineering and data engineering, • In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc, • Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap, • Experience of end-to-end model development and maintenance of ML models used for business critical automated decisioning, in a consumer facing industry, • Great attention to details while keeping an eye on the big picture, • Excellent communication skills to articulate complex problems, • Capability to build mutual respect and trust with people of different background Nice to have: • Experience in UK/EU retail lending businesses for personal/business customers, • Experience of ML model governance in a regulated industry, • Experience in leverage modern day AI tools for productivity The Interview Process: Our interview process involves: • 30’ Recruiter Call, • 45’ Initial Call, • 60’ ML technical skill interview, • 60’ Behavioural interview All interviews will be conducted through Google Meet. Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on _ What’s in it for you: 💰 £86,000 to £105,000 ➕ plus stock options & benefits ✈️ We can help you relocate to the UK ✅ We can sponsor visas 📍This role can be either based in our London office with hybrid working pattern, or fully remote within UK with occasional travels to London. 🏡We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. ⏰ 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 _ #LI-DC2 #LI-Remote Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our , 2024 and 2024 _ We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

About TetraScience TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft. In connection with your candidacy, you will be asked to carefully review “_,” authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you. What You Will Do TetraScience is looking for a Technical Enablement Lead / Developer Relations Lead for the EU. The ideal candidate should have expertise in customer and field enablement, adult learning principles, educational program creation, use case architecture and implementation, and a genuine passion for Data and AI technologies. The candidate should be driven by a desire to educate and inspire, and have the technical skills to quickly prototype new ideas and solutions. And finally, the candidate should seek to ensure developers can be successful with minimal friction, and champion product and process changes that make this a reality. You will work to understand the needs of different user personas (data scientists, machine learning engineers, scientists and R&D IT analysts), analyze their data environment, assist in the design and implementation of self-service solutions, and create training artifacts to accelerate adoption and growth. This is a technical enablement role, interfacing between internal and external stakeholders including; sales teams, technical teams, customers and potential customers. Your expertise not only covers the technical aspects of data integration, storage, access and architectures but also includes the skills to convey complex technical concepts in a way that aligns with business needs and potential solutions. Your work will directly impact how developers adopt TetraScience’s Scientific Data & AI Cloud, leverage new platform capabilities, and innovate in our ecosystem. You’ll collaborate closely with Product, Platform Engineering, Field Engineering, Customer Engagement & Support, Sales, and Marketing teams to empower customers, technical field team members, and all customer-facing technical roles through exceptional enablement programs. You’ll set the strategy for EU developer experience and community, including partners, customers, and independent developers; and be responsible for how developers discover, onboard, build, and scale applications. This role will be pivotal in growing our developer ecosystem, gathering crucial feedback to inform product development. Your work will educate and inspire the biopharmaceutical industry as to the power of an open ecosystem where precisely engineered scientific data flows freely and without restrictions. Your success in this role will directly shape TetraScience's growth trajectory and market position while ensuring our platform is accelerating science and patient outcomes across countless use cases. Responsibilities • Scientific & Domain Expertise, • Deep understanding of pharmaceutical/life sciences R&D workflows, data, and scientific principles, • Ability to engage credibly with data scientists, lab scientists, and R&D IT stakeholders, • Technical Skills, • Able to code and build practical solutions using scientific data platforms, pipelines, and apps, • Translate complex technical problems into working implementations within a pharma context, • Training & Enablement, • Design and deliver in-person training sessions, workshops, and demonstrations for both technical and non-technical audiences, • Create supporting materials: tutorials, documentation, sample code, and best practice guides, • Communication & Collaboration, • Translate technical and scientific concepts into clear, accessible language for non-technical stakeholders, • Collaborate with Product, Engineering, and UX teams to surface customer feedback as actionable requirements Must Have: • 2+ years professional experience in a Life Sciences company and/or a scientific background, • 3+ years professional experience as data scientist, scientific data engineer, or solutions architect, • 2+ years professional experience in technical enablement and/or developer relations, • Solid experience running large scale enablement programs, and how to evangelize and roll out the programs effectively across the organization, • Exceptional communication, storytelling, and presentation skills, coupled with a strong executive presence and the ability to effectively influence and engage large audiences, • Strong technical background with hands-on experience in SQL, Python, and modern data stack technologies, • Deep understanding of drug discovery, development, and manufacturing processes, • Ability to travel regularly to customer locations and whiteboard the product strategy with them, • Experience with data governance, privacy, and compliance considerations, • Exceptional stakeholder management skills with ability to influence C-level executives, • Ability to deal with ambiguity and thrive in a constantly changing and evolving work environment, • Experience working with high-bandwidth and high-energy professionals, • Insatiable curiosity to learn, develop, and grow year-over-year, • Great interpersonal skills and an ability to coordinate and drive initiatives supporting multiple teams Nice To Have: • Experience at high-growth SaaS companies with complex data needs, • Previous experience as a practicing bench scientist is highly valued, • Previous experience within a biopharma company in an IT related function is a big plus, • Background in technical support / field service highly valuable - this demonstrates your ability to internalize complexities and tailor explanations for a given audience, • Familiarity with enterprise sales processs within the pharmaceutical sector, • Experience with AWS application stack, • Competitive Salary and equity in a fast-growing company., • Supportive, team-oriented culture of continuous improvement., • Generous paid time off (PTO)., • Flexible working arrangements - Remote work. We are not currently providing visa sponsorship for this position

Are you a Geospatial Data Engineer Volunteer wanting to use your skills to help people in a humanitarian crisis and ultimately help save lives? MapAction can enable you to volunteer to do just that. Volunteers have been the heart of the MapAction for over 20 years but the range of skills needed continually evolves. Now we are looking for a enthusiastic Geospatial Data Engineer professional who has a desire to commit to a great team, and to help MapAction make a difference that has a lasting effect on vulnerable communities. MapAction works with a range of humanitarian partners, from local organisations who are closest to the ground to a range of global UN partners. Come and be part of something that is exciting and impactful! Why MapAction? MapAction is a leading humanitarian mapping charity, delivering information services and products to enhance decision making in disasters and conflicts. In collaboration with our partners, this mapped information helps responders understand vulnerabilities and target their response effectively, contributing to saving lives and minimising suffering. We work through a team of skilled volunteer professionals and a small paid staff team. We have built a strong reputation in the humanitarian sector, and are a technical partner of the United Nations, Non-Government Organisations and Civil Society Organisations, the Red Cross, Red Crescent Movement, regional entities and national authorities. The humanitarian sector is evolving, and technical expertise such as GIS, mapping, information management, data processing and visualisation are becoming increasingly utilised for improving decision making in complex humanitarian response. MapAction and our partners are uniquely positioned to provide technical expertise in support of this. As a volunteer, we will be able to work with technical staff and volunteers on different opportunities. Once your onboarding is complete, you will be able to choose the tasks and projects that best fit your skillset and interests. Here below some activities that our data engineer volunteers can support with: • MapAction external projects that require a Data Engineer skillset (e.g.: data pipeline automation, hazard exposure platforms, multi-risk models, conflict incident reporting, etc…), • Work with external partners such as UN agencies, International NGOs and Academic Institutions, • Conduct and automate data collection and processing scripts, • Create and maintain optimal, performant data pipeline architectures, both internally and externally, • Propose improvements to infrastructure, schemas, platforms, toolchains and configurations, • Assist in the automation, provision and management of development environments, source-code, build-tools, pipelines and deployments, • Support ad-hoc Data Processing during MapAction’s Emergency Responses in collaboration with MapAction’s GIS team, • Support internal systems maintenance in collaboration with MapAction’s IT Support Engineer, • Attend and / or represent MapAction on technical conferences, • Train other volunteers or external organizations on Data Engineer tools and processes What are we looking for? If you feel you are a good match but do not feel like you meet all the requirements, we are still happy to receive your application! The core skills we look for in all of our team members are the following: • A desire to use their skills, experience and dedication in the cause of humanitarian ends, • Good team player with leadership and/or project management experience or ambition wherever possible, • Exceptional communication skills, to explain your work to people who don't understand the mechanics behind data analysis, and experience in understanding partner needs and requirements, in particular working with non-technical clients, • Adaptable, resilient and solution-oriented, • Self-motivated and organised, • Time to commit to MapAction, for more details on the time commitment, please refer to the “What does it mean to be part of the MapAction team?” Essential: • Degree or equivalent experience in the field of Data Science, Data Engineering, Computer Science, Software Development, Information Technology or a related field, • Three or more years of professional experience working in a data or information management team, as a data engineer, data scientist, developer or other similar role, • Experience and proficiency working with Python and Jupyter Notebooks, • Data pipeline design skills, • Knowledge of cloud platforms like GCP, AWS or Azure, • Experience and understanding of CI/CD pipelines, • Project management experience. Experience in understanding partner needs and requirements, in particular working with non-technical clients., • Collaborative code management using Git & GitHub Desirable: • Experience of participating in a volunteer organisation or open source projects., • Experience with QGIS or ArcGIS, • Experience working with geospatial data (raster and vector), • Databases (NoSQL, SQL, Graph Dbs, Principles of RDBs), • Experience with Systems Engineering, • Understanding of the Software Development Life cycle, • Thorough grounding in containerisation e.g. Docker, Kubernetes, • Shell scripting, • An interest in software-engineering or data-science e.g. ML / DL / AI / Statistics, • Humanitarian knowledge/experience What does it mean to be part of the MapAction team? Being part of MapAction means entering a close-knit community of highly skilled and committed and experienced professionals in different sectors. It means using your unique skills to help prepare for, anticipate, or respond to humanitarian emergencies, enabling our partners to provide life-saving support. At MapAction, training and team building are at the heart of our organisational culture. We have frequent meet-ups online and in person where paid staff and volunteers get together for training opportunities and skill-sharing, to strengthen our service offer. As a volunteer, you can participate in all levels and areas of the organisation, working alongside our colleagues at various UN agencies and/or other humanitarian partners. Volunteers also steer the organisation's strategic direction and are involved with designing and implementing our operational capacity. You will have the opportunity to travel, whether that’s at training events, project work abroad, missions or representing MapAction at a conference. Availability for projects, including in-person deployments • MapAction expects a high level of commitment by volunteers to make themselves available to deliver projects, whether these projects are planned or emergency missions, remote or in-person, one-off tasks or longer term commitments., • Deployable volunteers are expected to seek a commitment from their employer (if applicable) to permit time off (paid or not) for deployments when necessary., • For emergency deployable volunteers, there must be arrangements in place for a quick decision to be taken on availability, including agreement from employers/family if required, in the event of all alerts. This should normally be within 12 hours of the issue of the alert, depending on time-zone., • For non-emergency deployments and projects logged on the tasking grid, volunteers must respond to a request for assistance (whether yes or no) by the deadline specified on the grid., • Volunteers are expected to put themselves forward for at least three substantive (i.e. at least two days work) tasks every year, and are normally expected to contribute at least 10 days of voluntary effort (excluding training) to MapAction every year., • It is the duty of all volunteers to do their best to make themselves available for any opportunity relevant to their volunteer role, and avoid perceptions of volunteers selecting only more ‘attractive’ tasks or missions. It is essential that MapAction is able to deliver on all tasks it commits to, and it relies on volunteers to be prepared to step up for a wide range of activities. As a member of the team, you will be expected to participate in at least 6 internal weekend training events. This must include our annual simulation exercise, which all volunteers are required to attend. Other weekend training events include 6 annual training weekends where we get together in person at various locations around the UK, and 4 online development days. Volunteers should live either within the UK or within reasonably easy and affordable reach of the UK in order to be able to attend face to face training events. Equal Opportunities Statement We are committed to creating an inclusive environment and welcome applications from people of all backgrounds, communities, and experiences. We value diversity and are dedicated to providing equal opportunities regardless of age, disability, gender identity, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. Selection for volunteer roles is based solely on an individual's skills, experience, suitability for the role, and commitment to our values. Notable Dates for volunteer process: Closing date - 19th July 2026 If successful after evaluation - test - week of the 27th July 2026 Attendance for Interviews online - week of the 12th August 2026 Attendance for final round in person - 12th September 2026 Unfortunately we are unable to accommodate anyone who can not meet these dates.

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership st

We are working with a networking organisation that specialises in financial services.They are looking to add their first Data Scientist to the team to lead on projects from start to finish.You will build a scoring model to match customers to the client and be able to work closely with stakeholders.

Kalibrate exists to deliver the right insight, at the right time, to give organizations answers to their most challenging questions.We serve decision makers across location and fuel pricing in markets all over the world — from high growth emerging concepts to the most established international ope

RISK DATA SCIENTIST (ESG & Supply Chain) £70,000 + BENEFITS PRIMARILY REMOTE Make a real-world impact in an industry that needs smarter, more sustainable solutions. This role would suit someone who enjoys end-to-end ownership, communicating with non-technical stakeholders, and building models from scratch using Python and SQL. THE COMPANY: I'm working with construction tech company that's making a real impact in ESG, supply chain risk, and sustainability. This is a hands-on, high-impact role where you'd work closely with a small, collaborative product team-shaping how financial, ESG, and supply chain data is turned into actionable insights. THE ROLE: This client are hiring a Risk Data Scientist to take full ownership of modelling efforts across their core risk platform. A Data Scientist (Risk) will need to: • Take end-to-end ownership of risk modelling across financial, ESG, and supply chain data, • Design and implement models from scratch using Python and SQL, • Collaborate closely with the cross-functional product team, • Contribute to GenAI-powered reporting tools YOUR SKILLS AND EXPERIENCE: A successful Data Scientist will have the following skills and experience: • Solid experience in risk modelling, • Strong Python and SQL skills, • A solid foundation in Statistics and ML., • Experience with end to end product ownership THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary there are some fantastic extra benefits. HOW TO APPLY Please register your interest by sending your CV to Molly Bird via the apply link on this page.

Pega CDH Consultants Inside IR35 Remote in UK Initial 6 month engagement emagine is a high-end professional services consultancy and solutions firm specialising in providing business and technology services to the financial services sector. We power progress, solve challenges, and deliver real results through tailored high-end consulting services and solutions. We have created a culture of openness and integrity by building genuine and strong relationships and partnerships, enabling us to be uncompromising in our dedication to delivering the optimal service for our clients. Our commitment is not just towards our clients — we aim to foster a positive and equitable working environment with our consultants and colleagues, which stems from our core values: Confident, Dedicated, Responsible, Genuine. We are building a best-in-class Next Best Action (NBA) decisioning capability and are hiring experienced professionals to design, scale, and optimise decisioning frameworks across multiple markets. This is an opportunity to work at the intersection of data, AI, and customer engagement, delivering personalised, real-time experiences in a regulated environment. We are hiring for: Lead Decisioning Expert Own and govern the NBA decisioning framework across markets. Key Skills: Pega LDA (mandatory) Deep Pega CDH expertise (NBA Designer, decision strategies) Decision frameworks (eligibility, arbitration, prioritisation) Omni-channel decisioning (real-time & outbound) Decision governance, explainability, regulatory awareness Strong stakeholder management & Agile delivery Lead NBA Data Scientist Design and optimise ML models driving NBA decisioning. Key Skills: Pega CDH adaptive models Strong MLB / RTIM / arbitration logic knowledge Advanced Python & ML development A/B testing, uplift measurement, model governance Feature engineering & real-time vs batch decisioning Git, Agile, cross-functional collaboration NBA Decisioning Specialist Deliver decisioning use cases and personalisation strategies. Key Skills: Pega PCDC (mandatory) Pega CDH / NBA Designer experience Decision logic configuration (eligibility, prioritisation, suppression) Testing, simulation & performance optimisation Strong business-facing communication Nice to have: Adobe AEP, Financial Services, multi-market experience Data Integration & System Engineers Build scalable data pipelines supporting decisioning systems. Key Skills: GCP (BigQuery) & Hadoop/Cloudera (mandatory) Spark, Scala, Python, SQL Data pipelines (batch & near real-time) Data modelling, governance & CI/CD Pega CDH integration experience QA / Test Specialists Ensure quality and performance across data and decision platforms. Key Skills: Hadoop & GCP (mandatory) Test automation (Pytest, Robot Framework) Python, SQL, Bash CI/CD, Docker, Jenkins ISTQB certified Our People The ideal consultants will share our values and be aligned with our ways of working. As your career progresses, you can expect to work across all areas of the project lifecycle, from strategy to implementation. This will provide you with a broad base of experience from which to build an outstanding career. The ideal consultants will share our values and be aligned with our ways of working and as your career progresses, you can expect to work across all areas of the project lifecycle. We pride ourselves on; Providing our people with a supportive culture, rooted in our values and driven by our purpose. Promoting a culture of inclusion, collaboration, well-being, and learning and development. Providing increased agility and flexibility within our hybrid working model Investing in employees’ growth through ongoing training and development Autonomy to take ownership of projects, making decisions and demonstrating individual expertise Providing an transparent performance and career management experience. Our consultants are integral to delivering successful consulting engagements, addressing our clients’ most pressing business challenges, and build lasting value in disciplines such as: Solve sophisticated, ambiguous business, change and technology problems, bringing structure and meticulous analysis and planning, acting, and taking decisions with little strategic direction Build, develop and sustain trusted senior client relationships in the C-suite by remaining highly attuned to client needs Drive, enable and support the business, partnering with our leaders, clients, and consultants across our practices to take the best of emagine to our clients through opportunity identification/qualification, solution development/presentation Interested? At emagine, we are committed to building an international and diverse team by embracing our different backgrounds. If you are up to the challenge and would like to find out more, get in touch with us immediately, our internal recruitment team is always keen to hear from dynamic individuals that are looking to further their career and explore their full potential. “emagine is an equal opportunity employer, and employment practices are based strictly on merit. It is the policy of the Company to give equal opportunity in employment regardless of sex, sexual orientation, marital status, race, age, disability, gender reassignment, pregnancy and maternity, religion or ethnic origin

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. We’re looking for AI Trainer – Machine Learning Specialists to help train and evaluate cutting-edge AI models using real ML expertise. If you have the necessary experience, we’ll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you’ll be invited to join Prolific as a participant, where you’ll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $150/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer) A willingness to take our skills verification test to assess your suitability for our participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A willingness to self-declare your earnings, as our participants are self-employed A Paypal account to receive payment from our clients Completing AI training tasks such as analyzing, editing, and writing annotations (including technical reasoning and structured evaluation) Judging the performance of AI in performing ML-relevant tasks (e.g., model/experiment critique, data leakage detection, metrics interpretation, debugging approach, methodology review) Improving cutting-edge AI models by providing expert feedback on correctness, robustness, clarity, and technical depth General AI Training Model Evaluation and Evals Trust and Safety Red Teaming Quality Analytics Data/ML Concepts (e.g., supervised learning, deep learning, NLP, CV, statistics, experimentation) Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional machine learning expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breath and the best of humanity. _ _ By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's _ explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.

NIOX® is a medical device company focused on point of care asthma diagnosis and management. Our market-leading NIOX® products are used in clinical settings by physicians around the world to improve asthma diagnosis and management and by leading research organisations conducting clinical studies on behalf of pharmaceutical companies. At present, NIOX® provides products and services in around 50 countries. For more information please visit _. In order to support these activities, we are currently seeking a Key Account Manager. Key Responsibilities of Role: As a Key Account Manager, you will be responsible for driving sales growth and expanding market access for NIOX – our innovative FeNO testing solution – across key NHS and private healthcare settings. In this strategic role, you will develop and maintain trusted relationships with both clinical and non-clinical stakeholders, influence procurement and funding decisions, and ensure the integration of NIOX within relevant care pathways. You will lead strategic account development, optimise product positioning, and consistently exceed sales targets across your designated region and customer segments. As a key member of the UK Commercial Team, you will also contribute to broader business planning and execution, playing a vital role in supporting the growth and long-term success of NIOX across the UK. · Develop and execute tailored territory account plans aligned with business objectives, market dynamics, and customer needs. · Drive NIOX adoption by implementing strategic and tactical plans across hospitals, ICBs, PCNs, and Primary Care settings. · Engage a broad range of stakeholders, including clinicians, procurement leads, service managers, and pathway redesign teams, to build trusted, value-based partnerships. · Identify, qualify, and convert new business opportunities across Primary Care, Secondary Care, private healthcare, pharmacy, and emerging channels. · Deliver high-impact presentations, demonstrations, and training to clinical decision-makers and frontline users, effectively communicating the NIOX value proposition. · Collaborate cross-functionally with marketing, medical, and customer service teams to ensure aligned messaging and deliver value-based selling. · Identify and mobilise key opinion leaders (KOLs) and clinical advocates to raise awareness of FeNO testing and position NIOX as the preferred solution. · Prospect and initiate contact with new accounts and channels, identifying routes to access and secure business across a range of sectors including Primary Care, pharmacy, Secondary Care, and private healthcare. · Monitor competitor activity, NHS trends, and evolving market dynamics, adapting strategies as needed to maintain a competitive edge. • Maintain accurate CRM records and provide timely sales forecasts, pipeline updates, and performance reporting. · Work closely with your manager to set, track, and regularly review sales performance targets, taking proactive steps to meet or exceed objectives. · Ensure seamless customer onboarding and handover to customer service and inside sales teams, delivering a positive, consistent experience throughout the account lifecycle. · Leverage digital tools and virtual engagement, while balancing this with high-impact, face-to-face interactions. • Maintain strong commercial acumen and therapy area expertise, with up-to-date knowledge of FeNO testing, asthma care pathways, and NHS commissioning structures. Qualifications and/or experience required to perform the role: · A business or other relevant undergraduate degree, or equivalent education. · Proven track record of sales growth and success in the medical device sector, with demonstrable experience in managing and expanding key accounts. · Experience contributing to the development and execution of aligned business plans, with evidence of successful implementation and measurable outcomes. · Excellent communication, interpersonal, and relationship-building skills. · Ability to quickly understand and navigate the healthcare industry, including reimbursement processes and the payer/provider landscape in the assigned markets. · Highly motivated self-starter with a strong commitment to making a meaningful difference to patient outcomes. · Demonstrated ability to prioritise and manage time effectively, while remaining agile and adaptable to maximise impact within the designated territory. · Strong presentation skills and proficiency in Microsoft Office applications (Word, Excel, PowerPoint, Outlook). · Background or experience in respiratory therapy, physiology, or as a clinical scientist—particularly within the NHS—would be a strong advantage. Office Location This position is field based. Culture NIOX® is proud to be an inclusive employer that supports all colleagues to realise and achieve their full potential. We are a diverse organization that champions a healthy work life balance. As a truly global organization, international collaboration between colleagues in different countries is encouraged and supported. We live and breathe our PRIDE values and ensure that we are all working towards a common goal and this is to improve the quality of life of millions of people suffering from asthma. We value the contribution that each of our colleagues provide and recognize the difference they make to the lives of asthma sufferers every day by supporting us in working towards our goal. Application process Thank you for considering a career at NIOX®. If you would like to apply for the position, please apply online, ensuring you include the following information: · Full name, location, email address and phone number · Curriculum Vitae · Cover letter · Current salary · Required salary · Date available to start/notice period After you have submitted this information, an email will be sent to you inviting you for a first interview. Due to the quantity of applications we receive, if you do not receive an email from us within 10 working days, please assume that you have been unsuccessful on this occasion. Important notice to Employment businesses/ Agencies NIOX® 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 NIOX®’s human resources department to obtain prior written authorisation before referring any candidates to NIOX®. The obtaining of prior written authorisation is a condition precedent to any agreement (verbal or written) between the employment business/ agency and NIOX®. In the absence of such written authorisation being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of NIOX®. NIOX® 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.

StackOne is the universal integration layer for modern SaaS products. We’ve raised $24m in 2 years, and we’re backed by top tier investors like Google Ventures and Workday Ventures. Our unified API platform lets vendors ship hundreds of native, white label integrations in days, not months, by abstracting away dozens of disparate third party APIs into a single, normalized interface. On top of those APIs, we provide AI Agent Actions so customers can build agentic workflows without wrangling OpenAPI specs. StackOne sits behind the scenes as an embedded iPaaS: SOC 2 compliant, multi-tenant, and invisible to end users powering integrations for future-of-work SaaS categories such as HR, Compliance, and AI Agents. Our customers are established B2B SaaS companies that: Sell to mid market and enterprise buyers Are building AI Agents in the near future Need deep, native integrations to win competitive deals and power their product Value time to integration over building connectors in house We typically close OEM and embedded licensing deals, multi-year (1 to 3 year) contracts, five to seven figure TCV, with a strong land and expand model. Key buyer personas are the CPO and CTO. We are looking for a Software Engineer or Data/AI Scientist with a strong background in AI production-grade applications with strong experience with LLM models (eg: GPT, Anthropic and others). In this role, you will conduct research and development around AI, focusing on automating processes and development at StackOne. We're building a world where users of any SaaS can integrate with the tool of their choice in one click thanks to StackOne. We're convinced AI is pivotal to making this a reality by transforming how SaaS talks to each other and this is what you will help achieve. Research, design, and develop AI models using or training existing or bespoke LLM models (and other AI tech) to improve and automate API & more generally SaaS interactions. Managing and updating Data pipelines used for AI use-cases Collaborate with cross-functional teams to identify opportunities for AI integration and automation Optimize and refine existing AI models and applications for performance and scalability Stay current with advancements in AI and LLM technologies, applying new knowledge to StackOne's AI strategy Implement best practices in AI development, ensuring compliance with data privacy and security regulations Document and communicate research findings and development progress to stakeholders Collaborate with other software & AI engineer(s) to deliver larger scale projects Bachelor's degree in Computer Science, Engineering, or a related field (or 3+ years of relevant experience) Familiarity with API development, integration, and SaaS platforms Past experience with AI, specifically Large Language Models and related technologies Excellent problem-solving and analytical skills Strong communication and collaboration abilities Desire to work in a fast-paced, dynamic startup environment Preferable: You’re familiar with Typescript You’ve deployed or managed infrastructure on AWS You will have a lot of freedom and agency to chose and work with the technologies you love. Our tech stack includes: Infra & monitoring: AWS (ECS, RDS, Elasticache, Lambda etc.), Tinybird, Modal, Dagster, Langsmith, Datadog, Sentry, _ Languages & Frameworks: Typescript (Node.js), NestJS, Rails, React, Svelte, Other day-to-day Tools: Postman, Notion, Slack, Jira, Github and more StackOne is one of the fastest-growing embedded integration platforms. Here’s why: It drives down the cost of building integrations by 10x. To add dozens of integrations, you only need to integrate once with our unified API and we take care of the rest. This is way faster, cheaper, and more reliable than building every integration to each tool one at a time (it can take weeks/months per integration). It has a superior architecture: Unlike other Unified APIs, we developed an innovative, fully real-time architecture that does not store their customers’ sensitive data by default. This enables our customers to differentiate themselves on the market with better integrations: better for privacy, better for their product’s user experience, and deeper read/write integrations. StackOne is a better long-term partner: We are the only integration platform to guarantee new integrations as standard, that offers so many sandboxes to support testing and deploying faster, and that has built a strong partnership ecosystem to enable our customers to develop stronger commercial partnerships. 25 days holiday + 1 additional day holiday per year of tenure Participation in the company’s employee share options plan Private health insurance (including dental & optical) Health, fitness and gift card discounts £1,000 for your home office set up + £500/year top-up Paid lunch in the office Annual team offsite to sunny spots (last ones were in Spain and Portugal ☀️) Join one of Europe’s fastest-growing startups Work with a veteran team of ex-employees of Google, Microsoft, Oracle, Coinbase, JP Morgan and more Cycle2Work and Electric Cars scheme Hybrid work set up - typically 2d in the office Ready to help us change the game for SaaS integrations? Get in touch and let's chat! We believe diversity drives innovation. We encourage individuals from all backgrounds to apply. As an equal-opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all employees.

1inch is the DeFi ecosystem building financial freedom for everyone. 1inch products help users and builders trade, hold and track digital assets - with the self-custody, comprehensive security and the intuitive user experience they need to unlock the potential of true crypto ownership. 1inch protocols and APIs provide core infrastructure across the DeFi industry and beyond. So if you’re someone who thinks big, moves fast and wants to make an impact right from day one, then get ready to join our industry-changing team. Location: We prioritise candidates who are based in Dubai then consider those working remotely in one of our European Hub Locations (UK, Spain or Germany). We are seeking a talented Data Scientist with focus on product analytics to join our Data & Analytics team and drive data-driven decision making across our organisation. In this role, you will analyse complex datasets, conduct research, and provide valuable insights to support product strategy and business growth. You must have Data Science experience. • Analyse and interpret large-scale on-chain and off-chain datasets to inform business decisions, • Design and maintain data collection processes and event storage systems, • Conduct research to identify patterns, trends, and growth opportunities, • Create intuitive dashboards and data visualisations for internal teams and external partners, • Propose and test hypotheses with empirical evidence, • Monitor and evaluate product metrics and user behaviour patterns, • Present findings and recommendations to stakeholder, • 3+ years of experience in data/product analytics, • BS in Computer Science, Engineering, Statistics, or related field, • Design and maintain data collection processes and event storage systems, • Conduct research to identify patterns, trends, and growth opportunities, • Experience creating intuitive dashboards and data visualisations for internal teams and external partners, • Excellent communication skills with ability to present complex findings to diverse stakeholders, • Proficiency in creating data visualizations and building analytical dashboards (Mixpanel, Metabase), • Intermediate SQL, Python knowledge, • Familiarity with A/B tests and Casual Inference, • Understanding of product analytics and user behaviour analysis, • Crypto/Web3 analytical stack (Dune, Nodes, Flipside), • Low level blockchain data understanding (traces, events), • Experience in uncovering business-driving data insights, • Join a young, creative team in a fast-paced and supportive environment, • We’re open to new ideas — if you’ve got a vision, pitch it and make it happen, • Enjoy competitive pay that matches your skills and experience, • Be part of a company that’s shaping the future of DeFi, • Take time when you need it — we offer unlimited vacation days, • Get fully compensated for your work gear — we’ll set you up for successWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

We are a first-mile intelligence platform, delivering granular visibility into the point of origin in global ag & soft commodity supply chains - where risk, cost, performance and exposure are set. You’ll join a global, cross-functional team that values rigour, curiosity and working close to real-world challenges. Whether your focus is AI, climate, product or operations, you’ll have space to contribute meaningfully and make an impact from day one. If you’re excited by complex problems and want to help reshape how nature is valued in real-world decision-making, we’d love to hear from you. We are hiring a Machine Learning Scientist into the Science Team to contribute to the development of models — from classical statistics and gradient-boosted methods through to deep learning when warranted — that turn satellite, radar, and LiDAR observations into defensible, plot-level intelligence on the world's commodity supply chains. You will work across the full lifecycle — from research and prototyping through to validated, productionised models. A meaningful fraction of the team's work centres on building lightweight downstream models — classifiers, regressors, similarity-search workflows. Likely focus areas for this role include: Commodity and plantation mapping by region - palm oil, cocoa, coffee, rubber, soy, timber and similar - in support of EUDR compliance and supply-chain due diligence. Forest degradation and biomass / canopy-height estimation from multi-sensor fusion. Develop ARR feasibility models that fuse climate, soil, and remote-sensing inputs to estimate site potential, forecast biomass and carbon trajectories, and quantify physical and permanence risk. Design, train and evaluate ML models - from gradient-boosted methods to CNNs, U-Nets and vision transformers - for commodity and plantation mapping, land-cover classification, change and disturbance detection, and biomass / canopy-height estimation. Build embedding-driven workflows on top of EO foundation models - few-shot classifiers, similarity search, downstream regressors. Design validation strategies that benchmark outputs against plot inventories and third-party reference datasets, quantify uncertainty, and surface failure modes; produce QA artefacts (maps, plots, model cards, error analyses) that internal teams and clients can trust and defend. Partner with Engineering to take models into scalable, reproducible inference pipelines across millions of plots, and contribute to a strong research culture across Science, AI and Engineering - reviewed code, shared tooling, and active engagement with EO/ML literature. Degree in a quantitative field: environmental/earth science, computer science, physics, maths, engineering, or similar. 3+ years of applied machine-learning experience, including time spent in an industry, product, or startup setting i.e. shipping models. Expertise in geospatial Python tooling: rasterio, xarray, geopandas, GDAL, and the STAC ecosystem. Hands-on experience training, evaluating, and debugging ML models across the modern Python stack - deep learning (CNNs, U-Nets, vision transformers) using PyTorch, as well as classical methods (gradient boosting, random forests) with scikit-learn. Demonstrable experience with remote sensing data (optical, SAR) and an understanding of the sensor-specific quirks that matter for modelling. Comfortable with Git, cloud compute (AWS or similar), and collaborative codebases. Clear written and verbal communication: can explain modelling choices, uncertainties, and trade-offs to scientific and non-scientific stakeholders. Domain exposure: deforestation, land-use change, biomass / canopy-height estimation, climate risk, or supply-chain transparency. Experience using EO foundation models as a downstream substrate - building lightweight classifiers, regressors, or similarity-search workflows on top of frozen embeddings (e.g., AlphaEarth Foundations, Clay, etc). Comfortable fine-tuning or pretraining where the case justifies it. Multi-modal fusion experience - combining optical (Sentinel-2, Landsat), SAR (Sentinel-1, PALSAR), and/or LiDAR (GEDI, ICESat-2) into unified predictions. Time-series modelling for environmental change detection - temporal transformers, sequence models, or self-supervised approaches. Comfortable building with AI-assisted development tools as a core part of your workflow. Familiarity with Google Earth Engine, Microsoft Planetary Computer, AWS Open Data, or other STAC-based catalogues. Experience working in cross functional teams working alongside solutions architects, sales, and engineering. You’ll report to the Science Team Lead and partner day-to-day with the wider Science Team while working closely with Engineering and Product teams. This is a Science Team role with regular touch points with Engineering and Product - the interview process gives you a chance to meet your immediate team and a couple of key partners. Recruiter screen (30 min) Hiring manager (45-60 min) Science Team technical interview (45 min) Engineering and/or Product interview (30 min) Potential in-person problem-solving session with the team - designed to be interactive and a glimpse of what being part of the Science Team will be like! Accessibility: Tell us if you need adjustments, we’ll accommodate. What you’ll gain at Treefera Build something that matters - join a high-growth climate-tech company applying AI, satellite data and quantitative modelling to real-world challenges across global supply chains, commodities and carbon. Work on complex, meaningful problems - develop systems that balance risk, resilience, compliance and sustainability, giving organisations a genuine information advantage at global scale. Collaborate with exceptional people - work alongside scientists, engineers and operators who are leaders in their fields, combining academic rigour with practical, cross-functional product delivery. Ship and grow in a high-trust environment - experiment, iterate and take thoughtful risks in a team that values autonomy, creativity and continuous learning. Develop your craft - dedicated space and time to grow your skills toward mastery, tackling technically demanding challenges that push the boundaries of applied AI and environmental data. Be rewarded for your impact - competitive compensation, equity options, meaningful benefits, and the opportunity to help shape the future of AI-powered risk and environmental intelligence. Diversity, Equity & Inclusion Bold solutions come from diverse teams. Please refer to our DEI & EEO commitment below. If you need any accommodation during the application process, we’re here to support you. Learn more about how we think and build Many of our engineers, scientists and product leaders share their thinking publicly. Explore the Treefera _ for technical deep dives, research and product perspectives. Privacy notice By applying to Treefera, you consent to the processing of your personal data in line with our _.

Coach – Applied AI Engineering (Level 6) | Machine Learning Remote | National travel required Corndel is a multi award‑winning UK training provider delivering high‑quality management and technology programmes with leading organisations. We’re growing fast and are passionate about transformational learning that empowers people to be their professional best. The Role We’re looking for an Applied AI Engineering Coach (Level 6) to support apprentices on our AI Engineer / Machine Learning apprenticeship programme. This role suits an experienced AI Engineer, Machine Learning Engineer, or Data Scientist who enjoys coaching others and enabling the responsible application of AI in real business environments. You’ll combine strong technical expertise with a coaching mindset—helping learners apply AI confidently, ethically, and effectively at work. What You’ll Do Coach and mentor a caseload of Level 6 AI Engineering apprentices Deliver engaging 1:1 coaching, workshops, and group learning Support learners across the full machine learning lifecycle, from problem scoping to deployment and monitoring Guide learners through End Point Assessment (EPA) and portfolio development Promote responsible AI, ethics, security, and governance Collaborate with employers and internal teams to ensure high‑quality learner outcomes What You’ll Bring Applied experience in machine learning, AI engineering, or data science Hands‑on experience with production ML systems Strong Python skills and experience with tools such as: scikit‑learn, PyTorch, TensorFlow Pandas, NumPy Hugging Face / generative AI tooling Understanding of MLOps, cloud platforms (AWS, Azure, GCP), and SQL A passion for coaching, mentoring, and developing others Why Join Corndel? Remote, flexible, and supportive working environment Opportunity to shape AI and ML capability across the UK Inclusive, values‑driven culture focused on quality and impact Apply now if you want to use your AI and machine learning expertise to make a meaningful impact through education. As part of our commitment to create an inclusive workplace where all colleagues can be their true selves, excel in their roles and progress in their careers, we recognise the importance of embracing the diversity in the working population and making Corndel a fully accessible employer. As Corndel is a Disability Confident Employer, we make sure that a fair and proportionate number of disabled applicants who meet the minimum criteria for a job will be offered an interview. If you would like to be considered under this scheme, when submitting your application, please select the appropriate option to let us know that you have a disability. Please note this does not mean that all disabled people are entitled to an interview, in some recruitment situations such as peak times, we might need to limit the overall numbers of interviews we offer. If you have a disability that might affect any stage of the recruitment process, please let us know about any help or reasonable adjustments you need before any interview or assessment. We’ll work with you to make sure any appropriate support is in place and make the application process a more positive experience. Corndel is committed to safeguarding and safer recruitment practices, and will undertake pre-employment checks on the successful candidate, including DBS Disclosure. For more information contact _

As a Senior AI Research Scientist, you will join one of Aqemia’s Drug Discovery Platform AI Teams, composed of 5 AI Researchers, and lead efforts to develop cutting-edge AI algorithms to model protein-ligand systems and predict molecular properties. Strong scientific rigor, curiosity, and ability

Trainee Data Scientist - No Experience RequiredAre you looking to kick-start a new career as a Data Scientist?We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee (£25K-£45K) within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you.The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Vis...

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: • Junior Data Analyst - £30,000, • Data Analyst - £50,000, • Business Analysts - £60,000, • Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and ...

This is a vacancy for a hybrid, remote or on-site role at one of our HQs. We encourage applications from all qualified candidates, regardless of gender identity. As we continue to expand and evolve our Data Platform and Data Network products, we're looking for a Senior Machine Learning / Artificial Intelligence Engineer (m/f/x) to join our Product & Engineering team. In this role, you'll collaborate with our Principal Data Scientist to facilitate the establishment of practical AI solutions and scale our product capabilities, enhancing data integration offerings across our products. At Lobster, our Data Platform, Data Network, and connected Data Products share one mission: to connect people, data, and intelligence (human & artificial) to transform processes in supply chain, manufacturing, and retail. We empower our customers with the right tools to tackle complex challenges with scalable solutions. Ready to make your mark in an AI-driven environment? • Designing and building robust, scalable systems that support high-volume supply chain transactions across our platform., • Defining and implementing AI strategies and scalable microservices that drive data mapping, transformation, and intelligent integration., • Developing and maintaining RESTful and GraphQL APIs to ensure seamless communication between services and systems., • Creating and optimizing event-driven data pipelines to enable real-time processing, automation, and decision-making across our products., • Evaluating, selecting, and implementing the best-fit tools and technologies to solve complex engineering and data challenges effectively., • Collaborating directly with key customers and internal stakeholders to validate solution performance and ensure product impact and usability., • 5+ years of engineering experience focused on Machine Learning, AI, and Data Science., • Hands-on production experience with LLMs, PyTorch, ML pipelines, and modern prompt engineering frameworks., • Strong skills in Python development, including building microservices and working with event-driven architectures., • Proficiency in designing and consuming RESTful and GraphQL APIs., • Experience with AWS or Azure ML services (e.g., SageMaker, Bedrock, Azure ML) and cloud-native development., • Experience with PostgreSQL and MongoDB or similar relational and NoSQL databases., • A solid grasp of system design, scalability, and performance optimization in ML-driven applications., • A pragmatic, test-driven approach and experience implementing CI/CD pipelines., • Ability to translate business requirements into practical technical solutions, especially in data integration for supply chain/logistics contexts., • Strong communication skills in English., • Opportunity to work flexibly from home, • Modern offices in Germany, the Netherlands, and the UK, • A personal Learning & Development budget, • Up to 20 days of remote work per year from any EU country, • Company Pension plan, • 30 vacation days a year, • Location-specific benefits packages (your recruiter will be happy to provide more details during your first chat), • Company-sponsored business travel For this role, we are open to working with specialists based in Germany, the Netherlands, or the UK. Whether you prefer working on-site at our offices in Tutzing, Rotterdam, Leeds or remotely from a location within one of these countries, we’re happy to accommodate your preferred working style. If you’re excited about this role but don’t meet every qualification, we encourage you to apply! Lobster is an equal opportunity employer. We are committed to fostering a diverse and inclusive environment where empathy and respect guide our interactions.

We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Driving the adoption of best practices, shared resources, and robust technical processes across the wider Data Science craft. You bring

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 , and Fellows from our award winning _. 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. As a Senior Data Scientist in our Defence business unit you will lead project teams that deliver bespoke algorithms to our clients across the defence and national security sector. You will be responsible for conceiving the data science approach, for designing the associated software architecture, and for ensuring that best practices are followed throughout. You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current and future projects. Particularly in the initial stages of commercial engagements, you will guide the process of defining the scope of projects to come with an emphasis on technical feasibility. We consider this work as fundamental towards ensuring that Faculty can continue to deliver high-quality software within the allocated timeframes. You will play an important role in the development of others at Faculty by acting as the designated mentor of a small number of data scientists, and by supporting the professional growth of data scientists on the project team. The latter includes giving targeted support where needed, and providing step-up opportunities where helpful. Faculty has earned wide recognition as a leader in practical data science. You will actively contribute to the growth of this reputation by delivering courses to high-value clients, by talking at major conferences, by participating in external roundtables, or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources, and you will enjoy the comforts of fast configuration, secure collaboration and easy deployment. Because your work in data science will inform the development of our AI products, you will often collaborate with software engineers and designers from our dedicated product team. Senior experience in either a professional data science position or a quantitative academic field Strong programming skills as evidenced by earlier work in data science or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill A leadership mindset focussed on growing the technical capabilities of the team; a caring attitude towards the personal and professional development of other data scientists; enthusiasm for nurturing a collaborative and dynamic culture An appreciation for the scientific method as applied to the commercial world; a talent for converting business problems into a mathematical framework; resourcefulness in overcoming difficulties through creativity and commitment; a rigorous mindset in evaluating the performance and impact of models upon deployment Some commercial experience, particularly if this involved client-facing work or project management; eagerness to work alongside our clients; business awareness and an ability to gauge the commercial value of projects; outstanding written and verbal communication skills; persuasiveness when presenting to a large or important audience Experience leading a team of data scientists (to deliver innovative work according to a strict timeline) as well as experience in composing a project plan, in assessing its technical feasibility, and in estimating the time to delivery 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.

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: • Junior Data Analyst - £30,000, • Data Analyst - £50,000, • Business Analysts - £60,000, • Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and ...

Data Scientist Placement Programme - No Experience Required Our training will help you kick-start a new career as a Data Scientist. We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step will fully prepare you for the professional projects that you will undertake in step 4 of this process. At the end of this step, you will complete a short online multiple-choice exam to showcase your understanding of the courses before moving on to step 2. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a great starting salary. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. At a one off cost of £1495, or a deposit of £212 followed by 10 interest free monthly instalments of £148, this represents a great opportunity to start a rewarding career in IT and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch. ‘Please note that this is a training course and fees apply