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Are you an experienced protein scientist looking to translate your experience into real-world impact whilst working with some of the UK's leading scientists? Well this role could be for you. The Company SRG are delighted to be working with one of the UK's most recognisable scientific brands who are growing out their CRO and drug discovery capability in Glasgow. This organisation are at the forefront of drug discovery in the cancer therapy field and are looking to grow out their therapeutic innovation team by adding an experienced protein scientist to assist on a number of drug discovery programmes. The Role As Senior Protein scientist you will be responsible for the expression and purification of a wide range of recombinant proteins using both bacterial and insect systems. You will ensure all protein production is appropriately quality checked using biochemical and biophysical techniques. You will also collaborate and communicate with key stakeholders to provide technical support on a variety of drug discovery programmes, assisting in process development and establishment - working alongside the wider protein production team. The Right Person • PhD (or similar experience) in a relevant topic (protein science, chemistry, biochemistry, etc), • Relevant experience in a drug discovery environment is highly desirable, • Demonstrable experience producing, purifying and analysing proteins using tools and techniques such as PCR, AKTA, SDS-PAGE, Western Blotting, etc., • Experience of tissue culture and transgenic cell line generation, • Project management experience, • Prior experience in a drug discovery environment is highly desirable, • Experience expressing proteins using insect systems is highly desirable If this sounds like you, or anyone you know, hit apply!

Technical Account Manager London - Hybrid or UK - Remote About Snowplow Snowplow is the global leader in customer data infrastructure for AI, enabling every organisation to transform raw behavioural data into governed, high-fidelity fuel for AI-powered applications—including advanced analytics, real-time personalisation engines, and AI agents. Digital-first companies like Strava, HelloFresh, Auto Trader, Burberry, and DPG Media use Snowplow to collect and process event-level data in real time, delivering it securely to their warehouse, lake, or stream, and integrate deep customer context into their applications. Thousands of companies rely on Snowplow to uncover customer insights, predict customer behaviours, hyper-personalise customer experiences, and detect fraud in real time. The Opportunity The Technical Account Manager (TAM) sits within our Technical Services team and reports to the Technical Account Management Lead. This customer-facing role blends technical expertise with consultative support, helping customers solve problems and get value from their data using Snowplow. We view customer activation as key to retention and success. TAMs work closely with clients to understand their data goals and design tailored implementations that drive business outcomes. We’re looking for a technically savvy, data-driven individual who thrives in a fast-paced environment and enjoys working with data teams to co-design solutions, implement use cases, and demonstrate impact. The role involves close collaboration with cross-functional teams—Engineering, Product, Sales, Support, and Marketing—to optimise customer strategies and expand use cases. What you'll be doing: ● Partner with various Snowplow team members to support customer accounts, collaborating with them to deliver value within their unique and complex organisations.● Provide consultation and advisory support to customers regarding solutions and use case development, by providing actionable execution of success criteria and solutioning complex problems.● Work with customers to identify, diagnose and resolve technical challenges with their Snowplow solution – including front-end implementation, data modelling, real-time data processing, and more.● Educate and enable our customers through tailored workshops and advisory sessions.● Collaborate with our Solution Architects, to develop and evolve technical assets such as data models, implementation strategies, architectures, and supporting code to bring value to our customers as well as our internal teams.● Develop domain expertise in key verticals through deep customer collaborations, general research and industry events/conferences.● Work closely with the Customer Success and Strategic Account Management teams to develop long-term strategies and roadmaps for activation and adoption of Snowplow’s products. ● Continue learning and staying current with our products and related technologies, to assist and train both customers and other team members We’d Love to Hear From You If Have: ● A solid understanding of the data space - cloud infrastructure, database technologies, visualisation tools and other enabling technologies in the modern data stack.● Experience working either client-side or agency-side as an analyst, analytics engineer, data engineer, data consultant, or data scientist.● SQL and data modelling experience, and proficiency at manipulating data.● Experience with direct management of a customer portfolio for continual successPrevious experience designing and implementing complex software solutions, including gathering/developing requirements and interacting with senior technical stakeholders (e.g. CTO, VP, Tech Lead). ● Previous experience of using Snowplow, (either BDP or open source) is ideal but not required What We Offer You in Return: 💰 A competitive package, including share options🧘 Flexible working🏖 A generous holiday allowance no matter where you are in the world💻 MacBook and home office equipment allowance👪 Enhanced maternity, paternity, shared parental and adoption leave Snowplow is dedicated to building and supporting a brilliant, diverse and hugely inclusive team. We don't discriminate against gender, race, religion or belief, disability, age, marital status or sexual orientation. Whatever your background may be, we welcome anyone with talent, drive and emotional intelligence.

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.

Driving the adoption of best practices, shared resources, and robust technical processes across the wider Data Science craft. Mentoring and developing other data scientists and team members, actively contributing to the growth and technical excellence of the organisation. You bring depth of expertis

RISK DATA SCIENTIST (ESG & Supply Chain).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.I'm worki

Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a

Develop and run data-centric experiments to optimize training effectiveness and generalization. Strong applied research track record, including publications in venues such as NeurIPS, ICML, ICLR, CoRL, CVPR, or similar. Familiarity with multi-modal, temporal, or sensor-rich datasets (e.

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.

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

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. You will act as a technical mentor, contribute t

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.

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

At Notpla we’re at the leading edge of sustainable innovation, creating natural alternatives to single-use plastic packaging that’s carefully engineered to create a healthier planet. Founded on the belief that nature knows best, we’re an innovative, ideas and action-oriented scale-up who develop and manufacture uncompromisingly natural packaging solutions from seaweed and plants. The Edibles Category Owner will spearhead the strategic and operational success of the Edibles product line at Notpla. This category includes Ohoo, edible films, and pipettes, among other innovative products. This is an exciting time to join Notpla, right on the brink of a record-breaking year for revenue and on-track for major growth in the next 18-24 months. Bolstering confidence in our financial performance, we have just secured a Series A+ fundraise for £20million, enabling us to scale our growth and environmental impact faster than ever. The Category Owners report directly to the CEO’s & Co-Founders, whilst being heavily supported by our Head of Product Portfolio and our CRO. You will work closely with the Technical Category manager for the edible packaging category, working with them in a “co-founder” type capacity to drive the category’s vision-setting, strategy formulation, and category performance ownership Led by strong values, all Notpla employees are encouraged to take responsibility for their domain, giving a high level of autonomy. Our aim is to build an inspiring culture that's reflected in our working policies ,environment and employees. Besides offering exciting roles and a great working environment, Notpla provides competitive salaries, the potential for EMI Share Options, a zero-carbon pension scheme, discounts with local businesses, and subsidised social activities. Our office first hybrid working policy allows you to work in the manner that maximises your productivity, while still creating a vibrant and collegiate work environment.. We are a social business with regular clubs and events, and we are proud of how our diverse workplace has created a community that is all pushing towards the common goal of making plastic disappear. The role encompasses vision-setting, strategy formulation, and category performance ownership. The role of Edibles Category Owner represents a unique opportunity to lead and shape the category from its foundation, defining business opportunities and driving forward innovation within the edible packaging space. The Edibles Category Owner will act as a steward of cohesive growth and a champion of sustainability and customer experience within this pioneering category. We are looking for a Results driven, collaborative leader who is willing to take on full accountability for the category's success. You will have to be able to combine strategic vision, whilst focusing on measurable goals, using your leadership skills to foster teamwork and align a multifunctional group to achieve its goals. You will need to have prior experience in a Product Manager/Category Owner type role, preferably within the packaging, food or FMCG space. Alongside this you will need to have a demonstrable track record of delivering commercial success, owning the business development process from cradle to grave. You will also need to have strong financial acumen, owning the categories P+L and forecasting models. Alongside all of the above, your day to day responsibilities will include: Oversee the strategy for the entire Edibles product line, balancing short-term execution with long-term growth objectives. Develop and track category KPIs, focusing on measurable outcomes such as product adoption, customer satisfaction, and revenue growth. Identify new business opportunities within the Edibles category, targeting strategic markets and segments. Create and maintain a robust pipeline of leads, transforming prospects into recurring customers. Negotiate and secure long-term agreements with key accounts, ensuring sustained revenue growth and customer retention. Oversee the end-to-end product lifecycle for edible products, from development to launch, ensuring successful execution across all touchpoints, including marketing, pricing, distribution, and customer support. Work closely and collegially with a small but highly skilled team, including a technical project manager and a food scientist, fostering a spirit of collaboration. Collaborate with engineering, chemistry, design, commercial, and finance teams to achieve category goals. Develop and nurture strong relationships with key customers to better understand their needs and create customer-centric solutions. Partner with industry suppliers to ensure a reliable and innovative supply chain for the Edibles category. £45,000 - £60,000 + EMI Share Options

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.

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

The mission of Borrowing ML Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and Statistical modelling. In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks,

Description Brego is an automotive technology company using AI and data analytics to help dealerships, lenders, and other industry partners make better vehicle valuation, pricing, and risk decisions. Working at the intersection of software, data, and decision-making, the team focuses on turning complex information into practical products that support smarter outcomes across the automotive market. As a Lead Data Scientist, you will take ownership of the AI (custom neural networks rather than third-party LLM technology) and machine learning capabilities behind products that influence high-value pricing and risk decisions. This is a hands-on technical leadership role where you will be responsible for designing, building, deploying, and continuously improving production machine learning systems from end to end. You will own the full lifecycle of models, from feature engineering and training through deployment, monitoring, retraining, and ongoing optimisation, working independently while collaborating closely with engineering and product teams to deliver measurable business impact. • Own the end-to-end lifecycle of production machine learning models, from problem definition through deployment and ongoing optimisation., • Design, build and deploy artificial neural network and machine learning models for vehicle valuation, pricing and other analytics., • Take responsibility for production model performance, reliability and long-term maintenance., • Evaluate model performance and improve predictive accuracy across production models., • Develop and maintain automated retraining pipelines to keep models effective over time., • Monitor deployed models, investigate issues and implement improvements to ensure models remain accurate and reliable., • Design and run experiments, track results and use data to drive model improvements., • Work closely with engineering and product teams to integrate models into production systems and deliver business value. Requirements Must have: • 5+ years of experience building and deploying machine learning models in production environments., • Strong experience developing and training neural networks for real-world applications., • Strong experience with the Python data science ecosystem, including pandas, NumPy and scikit-learn., • Hands-on experience with PyTorch or TensorFlow., • Strong understanding of machine learning, statistics, and model evaluation methodologies., • Experience taking machine learning models from concept through deployment and ongoing production ownership., • Experience evaluating model performance, improving predictive accuracy, and maintaining retraining pipelines, model monitoring, and experiment tracking., • Experience with feature engineering and working with large, real-world datasets., • Experience writing clean, maintainable, production-quality Python code., • Experience with SQL for data analysis and data manipulation., • Experience deploying ML workloads in cloud environments., • Ability to independently own technical projects and make sound engineering decisions with minimal supervision., • Strong problem-solving skills with the ability to investigate complex data and modelling challenges., • Strong communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders., • Experience collaborating with software engineers, product managers, and data engineers., • Eligible to work in the UK. Nice to have: • Experience in the automotive industry or with vehicle data., • Experience in pricing, forecasting, risk modelling, or other predictive analytics domains., • Experience with MLOps tooling and infrastructure., • Experience building automated data and model pipelines., • Experience mentoring or providing technical leadership to other data scientists or engineers. Benefits • Competitive salary of £90,000 - £110,000 per year, depending on experience., • Private healthcare., • Pension scheme., • Fully remote role with flexible working hours., • Working from home allowance., • Choice of Apple MacBook Pro or high-spec Windows workstation., • Learning and progression opportunities., • Optional access to our Silverstone office. The team usually meets there around one day per week, but attendance is entirely optional., • High levels of ownership and autonomy with the opportunity to shape the company’s AI strategy., • Collaborative, low-bureaucracy engineering culture that values autonomy, integrity and innovation., • Regular company social events., • 25 days annual leave plus 3 additional days between Christmas and New Year.

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 intelligen

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. Because your work in data science will inform the development of our AI p

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 _

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.

This opportunity is only for candidates currently residing in the specified country.Your location may affect eligibility and rates.Please submit your resume in English and indicate your level of English proficiency.We believe in using the power of collective intelligence to ethically shape the futur

Physics Expert (Postdoc / Junior professor) $80 - $150/hour pay Required Skills Physics Mastery Written Technical Communication Critical Evaluation & Error Detection Calibrated Technical Judgment Verification & Cross-Checking Fluency About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Role Title: Physics Expert (Postdoc / Junior professor) Role Type: Contractor Location: Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work # Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms. # Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology. # Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback. # Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement. # Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument. # Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate. # Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes. Preferred Qualifications # PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials). # Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist. # Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links. # Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation. # Demonstrated skill in reviewing the work of others—through peer review, supervision, dissertation committees, or group seminars. # Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor. # Reliable access to high-speed internet and a computer suitable for rigorous technical work.

Morgan Hunt are working with a high-profile public sector organisation who require an.

Job description Senior Formulation Scientist Based at: NexaBiome Life Sciences Limited, Glasgow Reporting to: Principal Scientist Job purpose An exciting opportunity has arisen for a Senior Formulation Scientist to join a growing biotechnology company. This hands-on role will see you supporting the development of topical dosage forms through formulation and analytical characterisation activities, while working closely with both internal R&D teams and outsourced manufacturing teams. The successful candidate will play a key role in translating research into scalable manufacturing processes, ensuring products meet quality, safety, and regulatory standards. The role will lead formulation design and optimisation projects to support product development from early-stage studies through to technology transfer and commercial manufacture. This is a key leadership position, playing a vital role in driving innovation, supporting continued business growth. Key Responsibilities Support the development of dosage formulations, using advanced materials. Directing daily formulation operations including decision-making, troubleshooting, and continuous improvement of processes. Oversee project timelines, including formulation technical transfers and scale-up initiatives, to clinical and commercial manufacturing groups. Lead formulated product development and innovation across cross-functional teams. Conduct product and material ch...

Job description Senior Formulation Scientist Based at: NexaBiome Life Sciences Limited, Glasgow Reporting to: Principal Scientist Job purpose An exciting opportunity has arisen for a Senior Formulation Scientist to join a growing biotechnology company. This hands-on role will see you supporting the development of topical dosage forms through formulation and analytical characterisation activities, while working closely with both internal R&D teams and outsourced manufacturing teams. The successful candidate will play a key role in translating research into scalable manufacturing processes, ensuring products meet quality, safety, and regulatory standards. The role will lead formulation design and optimisation projects to support product development from early-stage studies through to technology transfer and commercial manufacture. This is a key leadership position, playing a vital role in driving innovation, supporting continued business growth. Key Responsibilities Support the development of dosage formulations, using advanced materials. Directing daily formulation operations including decision-making, troubleshooting, and continuous improvement of processes. Oversee project timelines, including formulation technical transfers and scale-up initiatives, to clinical and commercial...

SC Cleared Data Scientist needed for hybrid role in Glasgow, UK, supporting a public sector data transformation program with predictive modeling and analytics.

The Behavioral Scientist will apply advanced behavioral science, psychometrics, and quantitative and qualitative research methods to design, analyze, and interpret complex talent and employee experience data. The role is responsible for developing scientifically rigorous insights that inform strategic talent decisions, workforce interventions, and organizational effectiveness initiatives. This position requires deep expertise in organizational research methodology, predictive and prescriptive modeling, and statistical programming. The Behavioral Scientist partners closely with Talent Insights and Analytics, Employee Listening, and senior Talent stakeholders to translate research findings into practical, evidence‑based recommendations. The role contributes to advancing the firm’s analytical maturity by embedding strong scientific standards, scalable methodologies, and advanced modeling approaches into talent analytics and decision‑making. • Design and conduct applied organizational research using robust quantitative methodologies, including experimental, quasi‑experimental, and longitudinal designs., • Lead advanced analysis of employee listening, experience, and talent data using statistical programming languages (SQL, R, and/or Python)., • Apply advanced predictive and prescriptive modeling techniques (e.g., regression, multilevel models, machine learning, optimization approaches) to address complex talent and workforce questions., • Develop and validate psychometric models, including scale development, factor analysis, reliability and validity assessment, and measurement invariance testing., • Integrate multiple data sources (survey, experience, talent, and operational data) to generate holistic and scientifically defensible insights., • Translate complex analytical and research outputs into clear narratives, recommendations, and decision‑support materials for senior Talent and business stakeholders., • Support the design and evaluation of talent interventions by defining success metrics, analytic approaches, and evidence thresholds., • Contribute to the development of standardized research and analytics frameworks, ensuring consistency, rigor, and scalability across Talent Insights and Analytics., • Partner with Talent IT, data engineering teams, and external vendors to ensure appropriate data structures, access, and analytical readiness., • Monitor emerging research, analytical techniques, and best practices in behavioral science, psychometrics, and people analytics to continuously enhance internal capabilities., • Apply expert judgment in selecting appropriate research designs, statistical methods, and modeling approaches based on business context and data constraints., • Make recommendations on analytic strategies, modeling techniques, and interpretation standards to ensure scientific rigor and decision relevance., • Evaluate the strength of evidence supporting findings and clearly communicate limitations, assumptions, and confidence levels., • Support decisions related to prioritization, design, and continuous improvement of Talent Insights and Analytics research and modeling initiatives., • Influence stakeholder decision‑making by synthesizing data, research findings, and behavioral science principles into actionable guidance., • Act as a subject matter expert and thought partner within Talent Insights and Analytics., • Provide informal coaching and technical guidance to colleagues on research design, analytics, and interpretation., • Collaborate closely with cross‑functional teams to ensure analytical quality, consistency, and impact., • Build trusted relationships through credibility, rigor, and constructive challenge., • Develop people, coaching and mentoring skills, learning on the job., • Effectiveness in building trust, respect, and cooperation among teams., • Deep expertise in behavioral science, with strong grounding in Industrial and Organizational Psychology or a closely related discipline., • Advanced knowledge of organizational research methodology, including experimental design, causal inference, and applied statistical modeling., • Strong command of psychometrics, including scale construction, validation, and measurement theory., • Advanced analytical skills using SQL, R, and/or Python for data extraction, manipulation, modeling, and analysis., • Demonstrated expertise in predictive and prescriptive analytics, including advanced statistical and machine learning techniques., • Strong data storytelling and visualization skills to communicate complex findings effectively to non‑technical audiences., • Strong business acumen and ability to contextualize research insights within broader talent and organizational strategies., • Ability to operate independently on complex analytical problems while collaborating effectively in cross‑functional, global teams., • High tolerance for ambiguity and ability to apply scientific rigor in fast‑paced, evolving environments., • Strong written and verbal communication skills, with a global and culturally aware mindset., • Due to the global nature of the role, flexibility to work alternative hours may be required., • Excellent written and verbal English communication skills are required. Education: • Ph.D. strongly preferred in Industrial and Organizational Psychology, Organizational Psychology, Behavioural Science, Statistics, or a closely related quantitative discipline., • Master’s degree with significant applied research experience may be considered. Certification Requirements: Professional certifications or active engagement in relevant professional or academic communities preferred but not required. Experience: • Demonstrated experience conducting applied organizational research in a business, consulting, or applied research environment., • Experience applying advanced statistical, predictive, and prescriptive modeling techniques to real‑world organizational problems., • Hands‑on experience with psychometric analysis and measurement development in organizational contexts., • Experience working with large‑scale employee listening or experience datasets., • Proven ability to translate complex research findings into practical, business‑relevant insights., • Experience collaborating with Talent, HR, or People teams to shape evidence‑based decisions., • Experience working in global, matrixed, and fast‑paced environments., • Experience partnering with data engineering teams or external vendors to enable advanced analytics., • Compensation ranges: base salary in the U.S. $92,600 to $173,100, with specific ranges for certain metro areas. Additional benefits include medical and dental coverage, pension, 401(k), and paid time off., • Hybrid work model with 40‑60% in‑person expectation for client‑serving roles., • Flexible vacation policy tailored to personal circumstances, plus designated EY Paid Holidays, Winter/Summer breaks, and other leaves. EEO Statement: We provide equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, in accordance with applicable law. Accommodation: We are committed to providing reasonable accommodation to qualified individuals with disabilities. If you need assistance applying online or request an accommodation, call 1‑800‑EY‑HELP3, select Option 2 for candidate‑related inquiries, then Option 1 for candidate queries, and finally Option 2 for candidates with an inquiry to route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com. #J-18808-Ljbffr

Glasgow (Hybrid - 1 day per week onsite) £650-£750 per day (Inside IR35) Contract until September Morgan Hunt are working with a high-profile public sector organisation who require an SC Cleared Data Scientist to support a key programme of work through to September. This is an excellent opportunity to contribute to a data-driven transformation programme within a secure environment, working alongside experienced data, engineering and policy teams. You will play a key role in delivering advanced analytics and data science solutions, helping to turn complex datasets into actionable insights. Key responsibilities include: • Developing and deploying predictive models and statistical analysis, • Working with large, complex datasets to identify trends and insights, • Collaborating with data engineers and stakeholders to shape data solutions, • Supporting decision‑making through clear visualisation and communication of findings, • Ensuring work aligns with security and governance requirements, • Active SC Clearance (essential), • Proven experience as a Data Scientist in complex or regulated environments, • Strong skills in Python (or similar) and data science libraries, • Experience with machine learning, statistical modelling and data analysis, • Ability to communicate technical findings to non-technical stakeholders, • Experience in public sector or government environments is highly desirable, • £650-£750 per day (inside IR35), • Hybrid working (1 day per week onsite) in Glasgow, • Opportunity to work on a high‑impact, nationally significant programme Morgan Hunt is a multi-award-winning recruitment business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to permanent vacancies. Morgan Hunt is an equal opportunities employer. Job suitability is assessed on merit in accordance with the individual's skills, qualifications and abilities to perform the relevant duties required in a particular role. #J-18808-Ljbffr

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