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Talentmark are recruiting for a Senior Scientist/Associate Principal Scientist - Process Chemistry on behalf of a growing drug development partner who support clients across the pharmaceutical and biotech sectors. This role will be based in Cardiff, on a permanent basis. Responsibilities: Working collaboratively on a range of client programmes, applying technical expertise to solve challenging problems across drug discovery and development. Technically leading projects/work packages for our customers, under the guidance of a senior manager. Designing experimental work for yourself, and other scientists (as required), conducting laboratory work and interpreting results to draw conclusions. Applying scientific judgement to troubleshoot and solve technical challenges. Delivering project milestones to agreed timelines and quality standards. Presenting data clearly to project teams and clients, both written and verbal. Supporting and mentoring more junior Scientists. Maintaining excellent standards of documentation, data integrity, and laboratory safety. Your Background: Educated to MSc or PhD level in a relevant chemistry field. Significant relevant industry experience in process chemistry in drug discovery. Experience with late-stage process optimisation, encompassing activities such as impurity fate and purge, PAR/NOR studies, robustness studies, technology transfer and/or support of manufacturing campaigns. Experience in a CRO environment would be beneficial. Strong experimental design and data interpretation skills. The ability to work independently while contributing effectively to teams. Apply: It is essential all applicants hold entitlement to work in the UK. Please quote job reference 71494 in all correspondence

We are looking for experienced mine water professionals (Full-Time or Part-Time) to join our busy Mine Water team and support an expanding pipeline of work in the mining sector. This position provides an exciting opportunity to join SLR’s expanding multi-disciplinary service offering which includes mining engineers, geologists, tailings engineers, geotechnical engineers, ESG practitioners. You will have the opportunity to work with an established team of senior mining consultants. We are interested to hear from water specialists in the fields of hydrology and water resource engineering with experience on local and international mining projects. You could be based in any of our existing European offices, including Edinburgh; Bristol; Nottingham; or London, or our office in Dublin. • Join the Mine Water team which includes hydrogeologists, hydrologists, and geochemists and deliver integrated water management solutions for the mining sector., • Provide specialist input to local and international mining studies throughout the mining lifecycle including: Design & Feasibility Studies (PEA / PFS / FS etc); Operational Improvements; Due Diligence & Independent Reviews; Environmental & Social Impacts Assessments (ESIA); Closure Planning., • Manage various aspects of successful project delivery essential in maintaining client relations including: enquiry management, client liaison, technical workshops, site visits, technical reporting, quality assurance and quality control etc., • Provide input into the strategic direction of the team, assist with resource planning / workload management, and enhance team capability through training and mentoring others., • Keep abreast of technical innovation and contribute to ensuring we provide high value advice which complies with recognised best practice, technical guidance and legislation impacting water management in the mining and minerals sector, both nationally and internationally and ensuring SLR is well placed to take advantage of change. Your project work is likely to involve travel across the UK, Europe and internationally. You would work on projects with our colleagues who are based in other offices throughout Europe, Asia, Australia, Africa, and the Americas. SLR are global leaders in Sustainability Solutions, helping our clients achieve their sustainability goals. We are a consultancy with 4000+ employees across 6 regions in over 125 countries. Our ‘one team’ culture is at the heart of our business, providing a collaborative and supportive environment for professional development. Along with competitive salaries, our staff enjoy a comprehensive benefits package with a company pension plus excellent healthcare offering, travel and life insurance and a structured career framework with regular reviews offering outstanding opportunities for progression. Alongside 25 day’s annual leave, with additional flexible bank holidays, we offer flexible, agile and hybrid working which enables staff to tailor hours worked around core hours, with family friendly policies help balance the needs of professional and home life. We envisage that you would be able to bring/demonstrate: • Relevant academic qualification(s) and professional registration e.g. chartered engineer (CEng), environmentalist (CEng) or scientist (CSci)., • Experience in contributing to the delivery of a range of technical studies through any of the various phases of the mine life cycle from feasibility and design, environmental impact assessment, operational and closure., • Broad understanding water management issues and best practices for the mining sector., • Strong technical and numerical skills, with demonstrable experience in relevant water modelling packages, design methodologies and analytical approaches., • Strong communication skills with demonstrable experience in reporting, graphics / drawings, presentations, workshops, and verbal communications both on-line and in-person settings., • Climate characterisation and design rainfall estimation, • Stormwater management and hydraulic design, • Flood hydrology and rainfall-runoff modelling, • Water balance modelling and water resource management, • Planning and design of water management infrastructure, • Dam break assessment for water and tailings storage facilities, • Design and execution of field hydrology programmes, • Water quality monitoring and modelling, • GoldSim probabilistic scenario modelling, • Hydraulic modelling – Newtonian and non-Newtonian flow, • Data management and data science, • GIS and/or CAD skills, • Design specifications, bill of quantities, capital and operational cost estimation, • Design of water treatment plants and/or pumping systems Due to the nature of the work you will have a full current driving licence valid in the UK. We are committed to being an equal opportunities employer, and our expectations go beyond purely complying with legislation. Through our Regional C&I Committees, Global Council and Employee Networks, we foster an inclusive environment where all people regardless of their background can thrive. We welcome applications from all individuals, regardless of their background, including those from groups that are currently under-represented at SLR, such as people identifying as 2SLGBTQI+, Indigenous peoples, ethnic minority groups, women, and people with visible or invisible disabilities, including those who are neurodivergent. Should you require any special adjustments throughout the recruitment process with us, please let us know. As a Disability Confident Committed employer, we seek to ensure all applicants have equitable support when applying to SLR. SLR Commitment – All applicants with a disability who meet the essential requirements for the job will be guaranteed an interview in line with our Disability Confident Committed status when applying to SLR. #J-18808-Ljbffr

Aicadium is searching for a CV Scientist who is passionate about AI & Machine Learning in the computer vision space, to join our team and help lead Aicadium into new growth areas. We seek high-energy team members with a positive attitude and a continual drive to learn and grow both professionally and personally. • Leverage hands-on experience in modeling to use, improve, fine-tune, and customise computer vision (CV) models, spanning both deep learning approaches (e.g. object detection, tracking, segmentation, visual embeddings) and classical techniques (e.g. multi-view geometry, camera calibration, feature extraction and matching)., • Design and implement geometric vision solutions where deep learning alone is insufficient — including 3D reconstruction, pose estimation, stereo vision, and structure-from-motion., • Assess the effectiveness and accuracy of new data sources and data-gathering techniques. Apply expertise in working with images, video, 3D data, and sensor fusion for custom ML solutions., • Stay up-to-date with the latest advancements and SOTA in computer vision., • Enable new capabilities for Aicadium products and tools in the industrial computer vision (ICV) ML domain., • Collaborate with cross-functional teams to develop innovative solutions., • Address unsolved problems in ICV., • Strong foundation in classical computer vision, including multi-view geometry, camera models and calibration, epipolar geometry, and image processing fundamentals., • Hands-on experience with deep learning for CV, including object detection, object tracking, semantic/instance segmentation, and the use of visual embeddings for retrieval or matching tasks., • Experience in data curation, model training, and customisation for solving real-world CV challenges., • Proven experience building, optimizing, and deploying scalable, production‑grade computer vision pipelines., • Excellent proficiency in Python for CV and ML, and familiarity with common frameworks and libraries (e.g. PyTorch, OpenCV)., • 3+ years of full-time experience in CV and ML., • Strong analytical and practical problem‑solving skills., • Excellent teamwork spirit and written and verbal communication skills., • A drive to learn and master new technologies and techniques., • Ability to work independently and with team members from different backgrounds., • M.Sc. or Ph.D. in STEM+ area., • Applicants must already have the legal right to work in Singapore. We are unable to provide work pass sponsorship for this position., • Experience with multimodal models and vision‑language modeling., • Exposure to VR/AR applications or multimodal data pipelines., • Familiarity with SLAM, visual odometry, or real‑time 3D perception systems., • Strong work and publication record in the CV/ML domain. #J-18808-Ljbffr

Data Scientist - AI & Machine Learning Location: UK Contract: 12 months Working Pattern: Hybrid - minimum 2 days per week in the office I'm recruiting for a Data Scientist to join an exciting AI and machine learning programme, where you'll help transform complex business challenges into practical, data-driven solutions. You'll work alongside multidisciplinary teams to frame problems, explore different approaches and develop advanced machine learning models and AI applications. This is an opportunity to contribute to the development of data science products, combining classical ML techniques with emerging LLM-based solutions. Key Responsibilities • Analyse and process large datasets from multiple sources., • Develop and evaluate machine learning models and AI applications using Python., • Apply statistical analysis to interpret results and support informed decisions., • Define problem statements, evaluation metrics and experiment designs., • Contribute to LLM evaluation, prompt engineering and RAG-based approaches., • Work with business stakeholders to communicate findings and model outcomes., • Support the development of data science products and provide technical guidance to junior team members. Key Skills & Experience • Strong Python skills for machine learning and data science., • Experience with classical machine learning and LLM development and evaluation., • Understanding of problem framing and AI/ML evaluation metrics., • Knowledge of prompt engineering and Retrieval-Augmented Generation (RAG)., • Experience designing experiments and working with model cards., • Ability to interpret complex statistical results and communicate findings. For more information or to apply directly, please email. I review applications daily and will contact shortlisted candidates as quickly as possible. JBRP1_UKTJ

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Mamy ponad 300 pracowników w Data w Monzo.Dane są sercem podróży Monzo, a nasza praca definiuje sukces i kierunek biznesu.Oznacza to, że podobnie jak reszta Monzo, Data również powinna być magicznie prosta.Mamy silną kulturę podejmowania decyzji opartych na danych w całej firmie i używam

Monzo is seeking a Machine Learning Scientist to join a multidisciplinary squad and deploy advanced ML models that detect fraud and protect customers. You will write production Python, work with SQL and Go, collaborate with data scientists, engineers, and risk teams, and continuously justify approac

We’re looking for a Product Data Scientist excited to help build the bank of the future. You’ll have the opportunity to super charge our user engagement in 2025 and help us to build a bank that customers truly love. We work in cross-functional squads where every data scientist is a member of a central data discipline and fully embedded into one product squad alongside engineers, designers, marketers, product managers etc. • Applying your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our products and how those insights can inform our product strategy, • Guide and enable product teams to measure things that matter; initiate or help run A/B experiments to keep improving everything we do, • Drive together with the finance team a unified company-wide understanding of the lifetime value of our users and how different product features are impacting user profitability, • Liaise with engineers to keep making sure we collect the right data to produce relevant business insights, • You’re impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well, • You’re commercially minded and can put numbers into business perspective, • You’re as comfortable getting hands-on as taking a step back and thinking strategically, • You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so, • You’re a team player whom your colleagues can rely on, • You have solid grounding in SQL and preferably Python, • You have experience in conducting large scale A/B experiments £55,000 to £75,000 + Incentive Awards tied to your performance + Benefits. We can help you relocate to the UK. We can sponsor visas. This role can be based in our London office, but we’re open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences. If you prefer to work part-time, we’ll make this happen whenever we can. #J-18808-Ljbffr

Learning budget of £1,000 a year for books, training courses and conferences.

Monzo is seeking a Product Data Scientist to help build the bank of the future and boost user engagement in 2025. You will be embedded in a cross-functional squad with engineers, designers, marketers, and product managers to turn data into strategic decisions. You’ll analyze user interactions, run large-scale A/B tests, and collaborate with the finance team to understand lifetime value and profitability. The role supports UK-wide distributed work with relocation and visa sponsorship; base can be #J-18808-Ljbffr

Relocation and visa sponsorship are available, along with a learning budget and flexible hours to support work-life.

Monzo zaprasza na letni staż Data Interns w biurze w Londynie.Dołączysz do zespołu zajmującego się danymi, pracując nad prawdziwymi projektami dla klientów, aby zrozumieć, jak dane wspierają decyzje biznesowe.Uczestniczysz w zadaniach związanych z przetwarzaniem danych, analizą i wizuali

Monzo is seeking a Product Data Scientist to help build the bank of the future.You’ll work in cross-functional squads, embedding in a product team with engineers, designers, marketers and PMs to supercharge user engagement in 2025.You’ll apply quantitative analysis, run large-scale A/B experimen

Experience with machine learning frameworks such as TensorFlow, PyTorch and Jupyter Notebooks. Strong understanding of predictive modelling and machine learning techniques. Understanding of the machine learning model development and deployment lifecycle.

Datatech Analytics is seeking a Data Scientist to join a global leader in supply chain risk and compliance tech.Cardiff-based, hybrid work with 3 days in the office, allowing collaboration with data science, data engineering and DevOps teams.You'll build and deploy ML/NLP solutions, explore LLMs, an

Monzo is seeking a Senior Product Data Scientist to help build the bank of the future and boost user engagement in 2025.You will work in cross-functional squads, applying quantitative analysis and real-time analytics to inform product decisions and improve engagement.You will collaborate with engine

We have a strong culture of data-driven decision making across the whole company. And we’re great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker, which gives data scientists the headspace to focus on more impactful business questions and analyses. As a Staff Data Scientist, you’ll lead efforts on strategically important, business-critical problems. You’ll apply judgement in areas of organisational or technical complexity, steward initiatives end-to-end, and focus your hands-on contribution where it can create the greatest impact. • Shape and lead the data strategy for a large domain or collective, • Identify, frame and lead strategically important problems where the path is ambiguous, • Partner with senior leaders across product, engineering, ML, design, research, risk and operations, • Establish measurement strategies and metric maps, • Set and evolve best practices for experimentation, causal inference, forecasting, optimisation and decision science, • Remain hands-on where your expertise is most valuable, • Steward critical data products and initiatives end-to-end, • Coach and mentor data scientists and analytics engineers, • You have an exceptional track record of leading complex, business-critical Data Science work, • You have shaped strategy across a large product or business domain, • You bring deep expertise across several Data Science disciplines, • You repeatedly create clarity across organisational boundaries, • You communicate complex ideas, assumptions and risks with clarity, • You remain a highly credible hands-on practitioner with SQL and Python, • £124,400 - £165,000 + Incentive Awards tied to your performance + Benefits, • We can help you relocate to the UK or Spain, • We can sponsor visas, • This role can be based in our London or Barcelona offices, but we’re also open to distributed working within the UK, • We offer flexible working hours, • Learning budget of £1,000 a year for books, training courses and conferences, • If you prefer to work part-time, we’ll make this happen whenever we can #J-18808-Ljbffr

Learning budget of £1,000 a year for books, training courses and conferences.

We’re looking for a Product Data Scientist excited to help build the bank of the future. You’ll have the opportunity to super charge our user engagement in 2025 and help us to build a bank that customers truly love. We work in cross-functional squads where every data scientist is a member of a central data discipline and fully embedded into one product squad alongside engineers, designers, marketers, product managers etc. • Applying your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our products and how those insights can inform our product strategy, • Guide and enable product teams to measure things that matter; initiate or help run A/B experiments to keep improving everything we do, • Drive together with the finance team a unified company-wide understanding of the lifetime value of our users and how different product features are impacting user profitability, • Liaise with engineers to keep making sure we collect the right data to produce relevant business insights, • You’re impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well, • You’re commercially minded and can put numbers into business perspective, • You’re as comfortable getting hands-on as taking a step back and thinking strategically, • You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so, • You’re a team player whom your colleagues can rely on, • You have solid grounding in SQL and preferably Python, • You have experience in conducting large scale A/B experiments £55,000 to £75,000 + Incentive Awards tied to your performance + Benefits. We can help you relocate to the UK. We can sponsor visas. This role can be based in our London office, but we’re open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences. If you prefer to work part-time, we’ll make this happen whenever we can. #J-18808-Ljbffr

WRU is seeking a lead data scientist to drive AI and data science across Talent Insight & Management.

Monzo is seeking a Staff Data Scientist to lead and shape strategic, high-impact data science initiatives across the business. You will partner with senior leaders across product, engineering, ML, design, research, risk, and operations, setting measurement strategies and driving end-to-end data prod

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