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ZeClinics is HIRING a Laboratory Technician! ZeClinics offers an exciting opportunity for a Laboratory Technician to be part of the team, whose mission is to provide an outsourcing solution for safety and efficacy screenings of novel chemical molecules using zebrafish. The ideal candidate would be responsible for performing experiments and support our Facility Manager in the daily organization of ZeClinics´s Laboratory. Duties of the Laboratory Technician will include: • Perform the experimental tasks related to both scientific services offered by the company to third parties and research and development pipelines., • Analyze the data deriving from experimental approaches., • Ensure the correct use of defined laboratory equipment and maintain them up to date., • Support the Project managers in redacting reports for clients (preparing the text and figures)., • Organize the data derived from the experiments and lab books to ensure full traceability of results., • Support quality validation following GLP-like and GLP regulations and drafting SOPs., • Support in regulatory studies if needed. Studies Holding a Bachelor’s or Master’s degree (and equivalent) in biotechnology, biology, biochemistry, biomedical laboratory science, or a related discipline will be necessary. Experience to value • Proven experience with cellular biology, molecular biology, basic pharmacology, high throughput assays, and other biochemical, molecular, or cellular techniques will be mandatory., • Experience with chemicals administration, microinjection, zebrafish biology, and husbandry will be positively evaluated., • FELASA certification to perform scientific experiments with animals will be a plus. Additional skills • Ability to work independently and interact with several collaborators, • Exceptional organizational skills with strict attention to detail, • Ability to manage multiple projects simultaneously under tight deadlines Languages Good command of Spanish is mandatory, knowledge of English both verbal and written, will be greatly appreciated. The Offer • Duration: Indefinite contract, • Trial period: 3 months, • Estimated annual gross salary:, • Base remuneration: between 18,000 and 20,000 € gross per annum, commensurate with the candidate’s background., • Performance-based incentives: approximately 6,000 to 7,000 €, contingent upon departmental results and 2025 business metrics., • Flexibility is required to work on weekends during peak service periods, with the preference for having two days per week where weekly and weekend schedules can be interchanged., • Starting date: As soon as possible Application Procedure All applications must include: • A presentation letter addressed to Anna Navarro (Project Manager), Christian Cortés Campos (Data Scientist), • A full CV including contact details, • Two contacts for further references All applications must be sent to the HR DEPARTMENT by e-mail to hr@zeclinics.com

Overview As an RWE Data Scientist at Sanofi, you apply cutting-edge analytics to support evidence-based pharmaceutical development. You will lead machine learning and AI initiatives and collaborate across R&D, Medical Affairs, HEVA, and Market Access to deliver impactful insights. You’ll build reusable modeling frameworks and integrate diverse data sources (EHRs, claims, trials, imaging) to answer key business questions. This role offers shaping advanced analytics at scale within a global biopharma context. Compensaciones / Beneficios • hybrid work, • employee benefit programs, • diversity, equity & inclusion actions, • competitive compensation, • career development opportunities Responsabilidades, • Act as a subject matter expert in machine learning and statistics on cross-functional projects, • Execute advanced analytics projects across R&D, Medical Affairs, HEVA and Market Access, • Develop and deploy methodologies for machine learning, statistics, modelling, NLP/text-mining, and data-mining, • Create reusable modeling frameworks and oversee data integration across large and small datasets, • Plan and promote methodological standards, demos, and POCs for priority business needs, • Contribute to Sanofi's data science architecture and ecosystem to guide decision-making Requisitos principales, • PhD in quantitative field with 6 years of experience or relevant Master’s with 10 years of experience, • Strong oral and written communication skills, • Excellent English (spoken and written), • strong communication, • team collaboration, • ability to work across disciplines, • machine learning / deep learning, • statistical modelling, • NLP / text-mining

We power people’s progress.At Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact.We’ve just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we’re only getting started. As a category-defining company, we’re shaping what the future of learning looks like at global scale.Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day.Meet the team!Preply's Data & Applied AI team sits at the intersection of data intelligence and AI-driven product innovation. We build the data foundations, analytics capabilities, and applied AI systems that power Preply's growth, from personalisation and matching algorithms to marketplace intelligence, experimentation platforms, and emerging AI-powered learning features.As Preply scales and AI becomes increasingly central to our product and business strategy, the demands on this team are growing fast. We need someone who can bring operational rigour, strategic clarity, and cross-functional coordination to help the team deliver at its best. This role reports directly to the VP of Data & Applied AI.This is not a people management role. It is a high-impact individual contributor position that acts as a force multiplier for the VP and the broader Data & Applied AI organisation, ensuring the team operates with focus, transparency, and momentum.About the role:You will be the operational backbone of the Data & Applied AI team and a trusted partner to the VP. You will own the team's planning cadences, drive cross-functional alignment, keep strategic initiatives on track, and ensure stakeholders across the company have visibility into the team's work and impact. You will also identify inefficiencies and design better ways of working, so the team can focus on what matters most.If you are someone who thrives at the intersection of strategy and execution, who can navigate technical environments with confidence, and who gets energy from making teams work better, this role is for you.What you’ll be doing:Operating cadence & planningOwn and run the operational rhythm of the Data & Applied AI org: team syncs, roadmap reviews, OKR cycles, quarterly planning, and retrospectives.Lead the annual and quarterly planning processes for the team, linking data and AI initiatives to company-level goals and product strategy.Manage the VP's leadership calendar and key team meetings, including agenda setting, preparation of materials, coordination with presenters, and follow-ups for cross-functional reviews, executive updates, and offsites.Own the preparation cycle for leadership forums and company-wide reviews where the Data & Applied AI team presents: ensuring the right content, framing, and data are ready.Cross-functional alignment & stakeholder communicationServe as the connective tissue between the Data & Applied AI team and Product, Engineering, Commercial, and other functions, ensuring priorities are aligned and dependencies are visible.Own stakeholder communication: regular updates, progress reports, and dashboards that give leadership and partner teams clarity on what the team is delivering and why.Represent the Data & Applied AI team in company-wide planning processes (e.g., product planning, OKR alignment, resource allocation).Project tracking & deliveryTrack progress on key data and AI initiatives end-to-end, from scoping through delivery, identifying risks early and driving resolution.Support the VP in managing the team's portfolio of work: ensuring the right things are prioritised, resourced, and moving forward.Drive accountability across workstreams without being a bottleneck, using lightweight but effective tracking and reporting mechanisms.Operational improvement & efficiencyContinuously identify friction in how the team works, whether in processes, tooling, collaboration patterns, or information flow, and design practical improvements.Build and maintain scalable processes that help the team operate efficiently as it grows (e.g., intake workflows, documentation standards, knowledge sharing).Support headcount planning, resource allocation, and team capacity analysis with data-driven models.Strategic initiativesLead or support high-impact strategic projects that span the Data & Applied AI org, such as evolving the team's operating model, defining AI adoption frameworks, or assessing build-vs-buy decisions for data infrastructure.Conduct analysis and research to inform key decisions: sizing opportunities, benchmarking approaches, or evaluating trade-offs.What you need to succeed:7+ years of experience in strategy, operations, or planning, ideally in a high-growth tech environment.Hands-on experience working closely with data, analytics, or AI/ML teams: you understand how these teams operate, what they deliver, and what slows them down.Technical familiarity: you can follow conversations about data pipelines, ML models, experimentation frameworks, and AI product features without needing everything translated. You are not expected to write code, but you should be comfortable in technical environments.Proven track record running operating cadences (OKRs, roadmap reviews, business reviews) and driving cross-functional alignment in complex organisations.Strong program and project leadership: you take ambiguous, cross-functional problems from definition to delivery with minimal hand-holding.Excellent stakeholder management: you build trust with both technical and non-technical leaders, communicate with clarity, and know how to influence without authority, including executive leadership.Highly data-driven: comfortable building models, spreadsheets, and dashboards to inform decisions. SQL or BI tool experience (e.g., Looker, Tableau) is a plus.Exceptional bias to action: you keep momentum high, unblock work proactively, and know how to get things done in fast-moving environments.Strong written and verbal communication skills, with experience producing executive-level updates, presentations, and documentation.Proficient user of AI tools (e.g., ChatGPT, Claude, Copilot, Cursor): you actively use AI to accelerate your work, whether for drafting, analysis, research, or automation, and you stay current with how these tools are evolving.Nice to have:Previous experience as a data analyst, data scientist, or in a technical role before moving into strategy/operations.Familiarity with AI/ML product development lifecycles and the specific challenges of shipping AI-powered features.Experience with marketplace or edtech businesses.SQL fluency and comfort working directly with data tools.Experience supporting VP or C-level leaders as a strategic partner or Chief of Staff-type role.Our PrinciplesCare to change the world - We are passionate about our work and care deeply about its impact to be life changing.We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience.Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters.Now is the time - In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen.Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently.Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions.Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks.Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference.Challenge, disagree and commit - We value open and candid communication, even when we don’t fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made.One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress.Diversity, Equity, and InclusionPreply.com is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed-Tech company. That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.LocationBarcelonaEmployment TypeFull timeLocation TypeHybridDepartmentData

Librerías data science (scikit-learn, pandas, NumPy).

AI EngineerAs you contemplate your future, you might be asking yourself, " What's the next step?’’ Start your journey with us!We're seeking an experienced AI Engineer to join our Data Science team in Barcelona (Hybrid) to build the applications, and agents that put generative AI in front of over 20 million customers. You will be working with the DS, ML Engineers, and SWE as a hands-on engineering role designing and building AI-powered products and services while making sure they’re reliable, evaluated and safe to ship. If you're ready to soar, we're ready to take you there.Why eDreams ODIGEOJoin the world's leading travel subscription platform...We pioneered Prime, the first and world’s leading travel subscription programme since launching in 2017.Millions of Prime members every year across multiple markets.5 brands: eDreams, GO Voyages, Opodo, Travellink, and the metasearch engine LiligoThis entire Prime experience is powered by a proprietary, industry-leading AI platform that delivers a smarter, hyper-personalised service and comprehensive travel experience globally to its members.Diversity is our strength that’s why our eDOers are coming from different nationalities from all continents – 99% permanent contractsPrime members are subscribed to global travel, gaining access to a comprehensive multi-product offering for all their travel needs—including hotels, rail, flights, dynamic packages and car rental, among others— compounded by industry-leading flexibility features and exclusive, member-only benefits.What you will do:The Role's Key ResponsibilitiesAs an eDOer, you will have clear objectives, great challenges and a clear overview of how your work contributes to the global company project and its customers. As a Senior AI Engineer in the Data Science team you will be in charge of:Design, build and ship LLM-powered features (chatbots, agents, RAG-based search, etc) in close collaboration with Data Science, ML Engineering, IT, and Product.Design LLM applications ranging from pragmatic efficient single-model calls to sophisticated autonomous agents. Use the right frameworks (e.g. LangGraph, Google ADK) to deliver the required agent architecture, manage the underlying LLMs and provide the needed tools and APIs.Own context engineering as a first-class engineering discipline; treat like code - versioning, testing and evaluating - all model context and configuration.Work with ML Engineering to deploy AI applications on our cloud platform (GCP), reusing existing MLOps infrastructure where it fits and flagging gaps where it doesn't.Evaluate, monitor and observe AI features in production and build controls to prevent and minimize model failures and security risks; track model and data drift. Trace model calls, tool usage and agent decisions. Measure costs, latency and build failure safety nets, guardrails and apply security engineering.Stay current on the fast-moving GenAI landscape and bring back what's worth adopting; share knowledge and best practices across the organisation.What you need to succeed:Good to haveBring your unique perspective, speak up, and offer disruptive solutions. You'll have the opportunity to learn and grow while making a real impact on our team. Here's what you need to succeed:Degree in a quantitative or engineering field (Computer Science, Engineering, Mathematics, or related); equivalent hands-on experience also welcome.Demonstrated experience as an AI Engineer, Ideally, 5+ years as a Data Scientist or Software Engineer.An excellent production software engineer that understands AI model behavior. Strong Python skills, with solid software engineering fundamentals: APIs, orchestration, observability, measurement, runtime constraints, reliability, production debugging, testing, version control, code review, CI/CD, etc.Experience building and orchestrating LLM agents and tool use, and a working understanding of prompt engineering and context-window management.Experience with LLM evaluation methods (LLM-as-judge, human review, model based evals, task-specific datasets…) and production feedback loops plus an instinct for measuring before claiming something works.Experience with cloud platforms (GCP preferred) and shipping APIs or services into production.Comfortable working with ambiguity and fast-changing tooling; pragmatic about picking the right level of complexity for the problem.Written and oral communication skills in English.Preferred QualificationsExperience fine-tuning or distilling open-weights models; exposure to MLOps/LLMOps tooling (MLflow, Vertex AI, Kubeflow); background in NLP.What’s in it for you?The best talent deserves the best benefitsAt eDO, we want you to be a part of our success story and great culture.Here's what we offer:A rewarding Compensation package! Prime Plus membership, competitive salary and benefits package, including flexible benefits, performance-based bonuses, birthday day off, discounts and partnerships, relocation support and premium equipment with role-based selection options and device ownership through our equipment lifecycle program when it reaches its refresh cycle.Continuous learning to fuel your growth and explore new horizons! Learn and grow with free Coursera access, soft skills workshops, tech training, leadership development, and more. Plus, enjoy a great onboarding program.Grow opportunities to empower your career and unleash your potential! Personalised career paths and the eVOLVE Program will help you discover, grow, and thrive. Internal mobility opportunities let you pursue horizontal career changes and promotions.Your Well-being is our priority. Embrace Freedom and Flexibility! At eDO, we value flexibility, employee care, and transparency. We offer a hybrid home-office model focused on outcomes. You'll be able to find the right work-personal life balance that suits you best.Work hard, party hard! We believe in having fun and connecting with colleagues! Join eDO for after-work events, padel tournaments, parties, and more. Create communities based on your passions, like sports and music. Come to work as you are, with no dress code, and enjoy free fruit, coffee, and tea at our offices.Enjoy a dynamic and healthy environment! Be innovative, take risks, and share your ideas. Our diverse and open-minded teams support high performance, learning, and growth. You'll work in an Agile mindset environment with recognition at our core.Wanna take a peek into what it's like to work at eDO? Follow us on LinkedIn and discover more about life at eDO!If you are ready for a career opportunity with unmatched benefits, continuous learning, and a supportive work-life balance, look no further! Take your career to new destinations by applying now and help our diverse, inclusive, and passionate team shape the future of travel.Apply now!We are an equal-opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status. Our people are the key to our success. Each one of them is unique in their own way and the respect for their uniqueness is and will always be a passion and motivation. Don’t meet every requirement? If you’re excited about this role but do not feel your experience aligns perfectly with all the requirements we strongly encourage you to apply nevertheless.#LI-PV1 #LI-Hybrid

Overview In this role you provide medical input and oversight for clinical development programs within Global Clinical Development, collaborating with cross-functional teams and GCPL/line managers. You may deputize on defined tasks, lead medical data review, and support protocol development, amendments, and scientific content. You will engage with Ethics Committees, investigators, and external KOLs to advance program delivery and publications, contributing to a patient-centric dermatology portfolio. Compensaciones / Beneficios • Top Employer Spain, • Top Employer Germany (first time), • people-centric culture, • opportunities for professional development Responsabilidades, • Support GCPL and Clinical Development Scientist in designing development plans and studies, • Back up GCPL responsibilities for defined tasks under supervision, • Contribute to study synopsis, protocol and amendments with GCPLs and CDS, • Review scientific content of protocols, amendments, CSRs, ICF, CRF and related documents (IB, briefing packages, ISE, ISS, publication), • Deputize GCPL as a member of the Global Project Team, • Provide medical support to Study Team for Ethics Committees and investigators, • Lead medical data review including eligibility and safety data, • Support protocol deviation review medically, • Partner with CDS and Clinical Operations to support study delivery (enrollment, eligibility, protocol violations, amendments), • Assist GCPL and CDS in data analysis, data review and publication content after study results, • Remain a core member of the Clinical Study Team, • Build relationships with external KOLs Requisitos principales, • Medical degree, • Dermatology specialty is a plus, • Prior experience in clinical studies (sub-investigator or industry/CRO), • Fluency in English (written and spoken), • Proficiency with MS Office, • Strong communication and presentation abilities, • Leadership and influence to drive consensus, • Analytical and problem-solving mindset, • MS Office, • Medical data review, • Clinical study documentation review

Job DescriptionOwns the Fabric agent plane: the runtimes and integration spine that turn data into agents that act. The architectural commitment is vendor neutrality by construction: orchestration runs on open MCP and A2A standards, experience surfaces are rented, and the intelligence stays in the Fabric. Swapping a frontier model provider must be a mechanical change at the model gateway, never a re-architecture. This role also carries the engineering side of the two-mode access model. Builders author in sandboxes and promote through eval gates; Consumers compose certified assets in self-service. The harness makes that ladder safe, because composition inherits the risk tier of whatever it touches, and the harness enforces that inheritance. Responsible for Agent runtimes, orchestration, and the model gateway, with the discipline of minimal, distinct, non-overlapping agent skills that are independently testable. The MCP / A2A integration spine across every layer of the Fabric: one protocol, every layer. Reference patterns and the shared eval harness, operated jointly with Trust, Risk & Evaluation. The agent identity and entitlement implementation in partnership with IT and Security, covering user identity, agent identity, and entitlement checks at the data product boundary, with full lineage and audit. The GxP commit-point pattern and support for audit, traceability Solid-line management of AI Harness Engineers deployed into pods. Leads the development and execution of enterprise-wide technology architecture strategies, ensuring alignment with business and IT objectives.Oversees teams of Enterprise, Solutions, and specialized architects to design and implement integrated architectures across applications, cloud, data, infrastructure, and security.Responsibilities include driving target architecture realization, conducting cost-benefit and risk analyses, monitoring compliance with standards, and advocating continuous improvement to maximize efficiency.Evaluates emerging technologies, guide technical decisions, and ensure scalable, cost-effective solutions that support organizational goals.What success looks like in year one Production agentic workflows live across the first-wave use cases, each composing registered skills with documented risk tiers and human-in-the-loop policy. The MCP spine adopted as the default integration path for new AI work. Agent identity propagation working end to end for at least one regulated and one non-regulated use case, with full audit trail. Promotion through eval gates operating as routine practice, with sandbox-to-certified cycle time measured and improving. QualificationsBachelor’s or Master’s Degree or equivalent. Plus, broad knowledge of functional area(s) of responsibility. Minimum of 10 years' experience formally or informally leading people, projects and/or programs. Curiosity about AI, its potential and its pitfalls. The field moves monthly, and the people who thrive here are genuinely curious about both sides of it: what these systems can newly do, and where they fail, mislead, or quietly degrade. We want people who read the failure analyses as eagerly as the launch posts, who experiment on their own initiative, and who hold excitement and skepticism at the same time without letting either one win permanently. Lifelong learners. Whatever expertise a candidate arrives with will be partially obsolete within a year, and that is not a defect of the candidate; it is the condition of the field. We hire people who have reinvented their toolkit before and expect to do it again, who learn in public, and who treat being wrong as information rather than injury. A history of deliberate self-reinvention counts for more than any single credential. Excellent communication and the ability to influence. Nothing in this organization ships by authority alone. Every role here persuades: domain experts to engage, stewards to share what they know, sponsors to stay honest about value, and functions like Legal, Quality, and Security to move from gatekeeping to partnership. We look for people who write and speak clearly, who adapt their register from bench scientist to Board, and who change minds through credibility and clarity rather than escalation. Hands-on experience building production agent systems or LLM orchestration infrastructure at enterprise scale; deep familiarity with MCP, A2A, and the emerging interoperability landscape. Strong identity and security instincts; experience integrating with enterprise IdP and entitlement systems. Experience designing for regulated environments, ideally including computerized system validation or Part 11 contexts. A conviction that evaluation is an engineering discipline, and the scars to prove it. Additional DetailsThis job has a full time weekly schedule.Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locationsAgilent Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.Travel Required: 10% of the TimeShift: DayDuration: No End DateJob Function: R&DSummaryLocation: Spain-BarcelonaType: Full time

ZeClinics is HIRING a Laboratory Technician! ZeClinics offers an exciting opportunity for a Laboratory Technician to be part of the team, whose mission is to provide an outsourcing solution for safety and efficacy screenings of novel chemical molecules using zebrafish. The ideal candidate would be responsible for performing experiments and support our Facility Manager in the daily organization of ZeClinics´s Laboratory. Duties of the Laboratory Technician will include: • Perform the experimental tasks related to both scientific services offered by the company to third parties and research and development pipelines., • Analyze the data deriving from experimental approaches., • Ensure the correct use of defined laboratory equipment and maintain them up to date., • Support the Project managers in redacting reports for clients (preparing the text and figures)., • Organize the data derived from the experiments and lab books to ensure full traceability of results., • Support quality validation following GLP-like and GLP regulations and drafting SOPs., • Support in regulatory studies if needed. Studies Holding a Bachelor’s or Master’s degree (and equivalent) in biotechnology, biology, biochemistry, biomedical laboratory science, or a related discipline will be necessary. Experience to value • Proven experience with cellular biology, molecular biology, basic pharmacology, high throughput assays, and other biochemical, molecular, or cellular techniques will be mandatory., • Experience with chemicals administration, microinjection, zebrafish biology, and husbandry will be positively evaluated., • FELASA certification to perform scientific experiments with animals will be a plus. Additional skills • Ability to work independently and interact with several collaborators, • Exceptional organizational skills with strict attention to detail, • Ability to manage multiple projects simultaneously under tight deadlines Languages Good command of Spanish is mandatory, knowledge of English both verbal and written, will be greatly appreciated. The Offer • Duration: Indefinite contract, • Trial period: 3 months, • Estimated annual gross salary:, • Base remuneration: between 18,000 and 20,000 € gross per annum, commensurate with the candidate’s background., • Performance-based incentives: approximately 6,000 to 7,000 €, contingent upon departmental results and 2025 business metrics., • Flexibility is required to work on weekends during peak service periods, with the preference for having two days per week where weekly and weekend schedules can be interchanged., • Starting date: As soon as possible Application Procedure All applications must include: • A presentation letter addressed to Anna Navarro (Project Manager), Christian Cortés Campos (Data Scientist), • A full CV including contact details, • Two contacts for further references All applications must be sent to the HR DEPARTMENT by e-mail to

Overview As an AI Data Engineer, you will build domain data products and pipelines that are ready for AI consumption and certified from day one. You will shape retrieval-ready, semantically annotated, contract-governed data assets that power pod use cases and enable enterprise reuse. The role blends data engineering with AI-focused governance, quality scoring, and agent-enabled curation to scale data delivery across the platform. You will collaborate with data owners, stewards, and IT to ground pod data in reliable sources and drive measurable improvements in data-to-build time. This is a hands-on, cross-functional role at the intersection of data engineering, AI, and governance. Responsabilidades • Build domain data products and pipelines to the data plane's certification standards (semantic definition, contracts, entitlement metadata, lineage)., • Ensure data quality and model-readiness with defined quality scoring and signals for evaluation pipelines., • Collaborate with domain data owners and stewards to ground retrieval on steward-validated sources., • Develop retrieval foundations (structured/unstructured grounding, vector/graph assets) on the platform estate., • Apply AI-built curation (metadata generation, entity resolution, content classification) and contribute outputs to the data registry., • Create reusable data assets for certification and enterprise reuse, handing them to the data plane for promotion., • Work with business teams and IT to model domain data, and design data collection frameworks for large-scale data ingestion., • Establish data set processes, data structures, and storage strategies across multiple sources and formats., • Advise on design standards and assurance processes to ensure data connections and storage meet requirements., • Develop data tools for analytics and data scientist teams; prepare data for predictive/prescriptive modeling; identify automation opportunities., • Review requirements and recommend changes to systems and storage to support evolving needs. Requisitos principales, • Strong data engineering with a focus on AI-ready data products (beyond traditional warehouses)., • Hands-on experience with the platform estate: Microsoft Fabric, Snowflake, vector and graph stores., • Experience with RAG data foundations: chunking, embeddings, hybrid retrieval, and agent-related failure modes., • Ability to work in a business domain: interview stewards, interpret pipeline outputs, and value domain knowledge., • Curiosity about AI, its potential and pitfalls; continuous learner in a fast-moving field., • Excellent communication and influencing skills; able to engage domain experts and stakeholders., • Ability to generalize and design for second consumers of assets, not just first., • Bachelor's or Master's Degree or equivalent; 8+ years of relevant experience., • excellent communication, • ability to influence, • curiosity about AI and its pitfalls, • AI-ready data product engineering, • semantic data definitions and contracts, • data lineage and certification requirements

Overview In this role you drive the data strategy for a key product domain (e.g., Growth, Retention, Marketplace) at Preply. You partner with leaders across Product, Engineering, and Business to shape long-term decisions based on rigorous measurement. You design scaleable experiments, model long-term value, and define essential metrics to guide the roadmap. You will influence cross-functional teams and elevate analytical standards in a dynamic, global Learner-Tutor marketplace. Compensaciones / Beneficios • lesson allowance on Preply.com, • Learning & Development budget, • health insurance, • relocation package to Barcelona, • mental health support platforms, • gym access in Spain Responsabilidades, • Develop strategic understanding of key value drivers in your domain and translate into decision frameworks for leadership, • Define long-term measurement and experimentation strategy for your domain, • Design, execute and evaluate large-scale experiments to drive business outcomes, • Lead deep analyses of customer behavior and retention to improve long-term value, • Own impact modeling and scenario analysis for major product initiatives with robust forecasting, • Govern key metrics to ensure alignment with company goals, • Act as senior thought partner to product, engineering and data leaders, • Lead cross-domain analytical initiatives (e.g., LTV modeling, pricing strategy, marketplace health) Requisitos principales, • Track record influencing product or business strategy in complex environments with clear impact, • Expertise in experimentation and causal inference under imperfect conditions, • Strong understanding of subscription and marketplace economics (LTV, cohorts, retention, pricing), • Strong technical proficiency (SQL, Python) and ability to elevate others’ analytical work, • Experience mentoring senior data scientists and growing the data org, • Curiosity, problem-solving and critical thinking; proactive in addressing challenges, • Ability to influence Directors and VP-level stakeholders in strategic discussions, • Interest in shaping product roadmap and strategy, • curiosity, • problem-solving, • critical thinking, • SQL, • Python, • experimentation and causal inference

En SlashMobility buscamos un Senior Data Scientist para desarrollar y pulir un nuevo buscador.Trabajarás en mejorar modelos léxicos y semánticos en una búsqueda híbrida, abarcando múltiples idiomas mediante visión por computadora y NLP.Implementarás personalización de resultados para enriqu

ZeClinics is HIRING a Laboratory Technician! ZeClinics offers an exciting opportunity for a Laboratory Technician to be part of the team, whose mission is to provide an outsourcing solution for safety and efficacy screenings of novel chemical molecules using zebrafish. The ideal candidate would be responsible for performing experiments and support our Facility Manager in the daily organization of ZeClinics´s Laboratory. Duties of the Laboratory Technician will include: • Perform the experimental tasks related to both scientific services offered by the company to third parties and research and development pipelines., • Analyze the data deriving from experimental approaches., • Ensure the correct use of defined laboratory equipment and maintain them up to date., • Support the Project managers in redacting reports for clients (preparing the text and figures)., • Organize the data derived from the experiments and lab books to ensure full traceability of results., • Support quality validation following GLP-like and GLP regulations and drafting SOPs., • Support in regulatory studies if needed. Studies Holding a Bachelor’s or Master’s degree (and equivalent) in biotechnology, biology, biochemistry, biomedical laboratory science, or a related discipline will be necessary. Experience to value • Proven experience with cellular biology, molecular biology, basic pharmacology, high throughput assays, and other biochemical, molecular, or cellular techniques will be mandatory., • Experience with chemicals administration, microinjection, zebrafish biology, and husbandry will be positively evaluated., • FELASA certification to perform scientific experiments with animals will be a plus. Additional skills • Ability to work independently and interact with several collaborators, • Exceptional organizational skills with strict attention to detail, • Ability to manage multiple projects simultaneously under tight deadlines Languages Good command of Spanish is mandatory, knowledge of English both verbal and written, will be greatly appreciated. The Offer • Duration: Indefinite contract, • Trial period: 3 months, • Estimated annual gross salary:, • Base remuneration: between 18,000 and 20,000 € gross per annum, commensurate with the candidate’s background., • Performance-based incentives: approximately 6,000 to 7,000 €, contingent upon departmental results and 2025 business metrics., • Flexibility is required to work on weekends during peak service periods, with the preference for having two days per week where weekly and weekend schedules can be interchanged., • Starting date: As soon as possible Application Procedure All applications must include: • A presentation letter addressed to Anna Navarro (Project Manager), Christian Cortés Campos (Data Scientist), • A full CV including contact details, • Two contacts for further references All applications must be sent to the HR DEPARTMENT by e-mail to

Únete a nosotros y forma parte del futuro de.Somos una empresa de ingeniería y tecnología con operaciones en España, Reino Unido, Alemania, Francia y Suecia.Trabajamos con las multinacionales más prestigiosas de Europa ayudándoles a implementar sus proyectos estratégicos.Machine Learning, est

Location: Remote, candidates should preferably be based in Spain, Portugal or Eastern Europe.Join IQVIA’s Sponsor-Dedicated FSP team and help advance healthcare through real-world evidence. We bring together scientific expertise and real-world data to help sponsors make decisions and accelerate evidence generation to improve patient outcomes.In this role, you’ll work closely with one sponsor, gaining deep knowledge of their vaccine portfolio while leveraging IQVIA’s global expertise.Overview: This role provides scientific support for RWE/Epidemiology studies by conducting literature reviews, data cleaning, code look-ups, and quality control activities. The role also contributes to scientific deliverables and supports operational coordination across studies to ensure high-quality execution.Organizational Relationships:Reports to sponsor's RWE/Epi Scientist within the Integrated Evidence Generation (IEG) organization.Collaborates with Medical Evidence Development (MED) colleagues, CMO colleagues (e.g., DS&A, Regulatory, Safety), Clinicians, HV&E/GAV partners, and other cross-functional scientific partners to lead operational activities.Interfaces with other external vendors to drive operational oversight.Responsibilities:Scientific Responsibilities:Conducts literature reviews, scientific summaries, data cleaning, code look up, and QC tasks.Contributes to development of abstracts, manuscripts, posters, and scientific summaries. Support creation of analysis planning documents and table shells, working closely with programmers. Provide rapid responses to epidemiology and safety information requests. Perform any other relevant scientific tasks as needed to support study progress. Execution Coordination & Oversight: Provides operational oversight across multiple studies or therapeutic areas.Maintain study documentation, trackers, and operational tools to ensure consistent process application. Coordinate safety requests, data requests, timelines, and other cross-functional operational needs. Supports development and management of study trackers, safety requests, and other operational resources. Monitor progress of vendor deliverables and help identify risks or delays.Requirements:Training and Education Preferred:PhD in Epidemiology preferred, Master's degree required (MPH minimum).Prior Experience Preferred: Experience in applied epidemiology or scientific operations.Experience in the field of vaccines and/or infectious diseases strongly preferred.Experience in vaccine effectiveness research, including duration of protection studies, is desirable.Experience working in a matrixed, cross-functional team environment and supporting development of scientific deliverables. Skills:Strong analytical, organizational, and writing / communication skills. Intermediate understanding of epidemiologic methods.Ability to independently conduct scientific and operational tasks.Ability to identify and escalate operational risks.Ability to collaborate effectively with programmers and cross-functional partners.What’s in it for you?Be part of a forward-thinking team that helps shape the next generation of evidence-based healthcare.Work hand-in-hand with one leading sponsor, gaining deep expertise in their therapies.Access IQVIA’s global network who supports your growth.This is your chance to make an impact, while building a career that matters.IQVIA is a leading global provider of clinical research services, commercial insights, and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at .IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.At IQVIA, we believe that diversity, inclusion, and belonging empower our mission to accelerate innovation for a healthier world. We create a culture of belonging by valuing the perspectives of all talented employees worldwide and providing them with the opportunity to power smarter healthcare for everyone, everywhere. When our talented employees bring their authentic selves and their diverse experiences to work, they enable us to accomplish extraordinary things. Multifaceted thought processes spark innovation. Multi-talented collaboration harnesses innovation to deliver superior outcomes. Likewise, as part of this culture, IQVIA is committed to ensuring effective equality between women and men, integrating it as a strategic principle in its corporate and human resources policies.SummaryLocation: Lisbon, Portugal; Warsaw, Poland; Barcelona, Spain; Budapest, Hungary; Prague, Czech Republic; Sofia, BulgariaType: Full time

Overview In this senior, hands-on role you own the data-science and analytical execution layer for Commerce Analytics and Insights. You build scalable pipelines, understand data lineage, and ensure reliable metrics and outputs. Your work creates trusted foundations for scalable analytical products while staying aligned with business questions. You drive methodological rigor, document data assumptions, and reduce manual work through automation, delivering impact for commerce insights. Compensaciones / Beneficios • hybrid work model, • learning, mentorship & career development, • health benefits, wellness perks & mental health support, • diverse, inclusive, globally connected culture, • competitive salary with performance-based rewards and potential equity Responsabilidades, • Own the data-science and analytical execution layer for Commerce Analytics and Commerce Insights, • Build, improve, and maintain data pipelines powering recurring analytics, • Understand source tables, data lineage, and data quality risks, • Ensure outputs are correct, consistent, and operationally reliable, • Define, document, challenge, and improve methodologies behind key metrics and analytical frameworks, • Collaborate with Solution Architect and commercial stakeholders to translate business questions into robust analyses, • Drive hands-on execution of analyses across use cases, • Create scalable approaches over one-off manual work, • Investigate data issues and resolve them with strong ownership, • Contribute to documentation, process improvement, and knowledge transfer for scalability, • Identify automation, standardization, or better data design to improve quality and speed, • Stay close to business context to ensure technical execution aligns with client needs Requisitos principales, • Senior and hands-on with ownership of execution and quality, • Strong data engineering, pipelines, analytical logic, and metric design, • Proficient in SQL, Python, Spark and coding for data processing, • Experience building production-grade analytical pipelines, • Experience documenting methods and educating stakeholders on metric definitions, • Ability to understand table meanings, connections, and potential misinterpretations, • Methodologically rigorous with judgment in metric definition and validation, • Structured and practical, able to translate ambiguous questions into executable solutions, • Comfort collaborating with client-facing and non-technical stakeholders, • Strategic mindset to improve systems beyond mere execution, • Extensive experience in data science, analytics engineering, or similar in data-rich environments, • Strong understanding of experimentation, metrics, methodology design, and QA, • Experience with large-scale behavioral, commerce, or media datasets, • ownership and accountability, • collaboration with stakeholders, • clear communication, • SQL, • Python, • Spark

Senior AI/ML Computational ScientistCareer Level: Associate Manager / ManagerYOU ARE As a senior AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle — assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and MLOps/LLMOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems. THE WORK Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps & MLOps Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools Justify the value of model approaches in business problems Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production #LI-MPEDUCATION Bachelor's Degree or equivalent REQUIRED SKILLSSignificant experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing. Extensive experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming Well versed in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks Established experience in building and deploying AI/ML based software to a cloud environment. PREFERRED QUALIFICATION Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).. Experience working with language models like LLM's APIs and optimizing their usage for specific applications. Experience working with agentic frameworks, such as LangChain, LangGraph or CrewAIExperience with the following programming languages: Python, C++, Java, R, SQL Experience designing, deploying, and operating cloud-native solutions on AWS, Azure, or GCP, including microservices-based and serverless architectures.Strong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders Strong client-facing skillsets in a consulting environment Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation MS or PhD in related field preferred (computer science, engineering, etc.) At Accenture, recognized as a Great Place To Work, we are committed to a hybrid work model that, supported by technology and our office spaces, enables us to maintain the essential human connection needed to collaborate effectively with our teams and clients. This connection helps us foster our culture of inclusion and diversity and has contributed to being recognized by Refinitiv as one of the world's most diverse companies.In addition, we offer:Private medical, life, and accident insuranceMedical services and wellbeing programsFlexible benefits program and employee share purchase planFlexible working arrangements (working hours, additional leave days, vacation options, and more)Personalized learning and career development pathsSustainability initiatives and opportunities to participate in the Accenture FoundationEmployee diversity and inclusion networksAdditional benefits, including special banking conditions through our Bankinter office and profit-sharing programsAbout AccentureAccenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.Visit us at Declaración de igualdad de oportunidades en el empleoCreemos que nadie debe ser discriminado por sus diferencias. Todas las decisiones de empleo se tomarán sin importar la edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, discapacidad, condición de veterano militar, orientación sexual, identidad o expresión de género, información genética, estado civil, ciudadanía ni ningún otro criterio protegido por la legislación aplicable. Nuestra rica diversidad nos hace más innovadores, competitivos y creativos, lo que nos ayuda a servir mejor a nuestros clientes y comunidades.SummaryLocation: Madrid, Castellana 85; Barcelona, La RotondaType: Full time

En Nennisiwok AI Lab, la startup especializada Inteligencia Artificial de Damm e integrada en la estructura del Departamento de Data&IA con el objetivo de acelerar los proyectos internos que se están realizando en materia tecnológica e AI, busca incorporar a un/a.

Are you a data enthusiast ready to make an impact? Join our team as a Data Scientist, where you’ll play a pivotal role in shaping our company’s future through sharp analysis, strategic insight, and proactive collaboration. • Develop and implement end-to-end projects powered by advanced AI tools to solve and automate key business problems and processes., • Develop and deploy traditional machine learning models (Classification/Regression)., • Foster an AI-driven culture within Holaluz by researching and disseminating AI knowledge across the company., • Stay up to date with emerging technologies and assess their suitability for Holaluz., • Populate the Data Warehouse with datasets using Python and SQL to create robust data pipelines., • Optimize and evolve the data warehousing infrastructure to ensure cost-effectiveness and scalability., • Maintain the smooth and efficient operation of Data Analytics systems., • Answer business questions using a wide range of data techniques., • Develop concise one-page documents with actionable insights and business recommendations., • Conduct in-depth analyses to solve key business problems., • Translate complex data into clear and concise presentations for senior management and stakeholders, effectively communicating key findings and recommendations., • Create compelling visualizations to effectively communicate key metrics to stakeholders., • A Bachelor’s degree in Mathematics, Engineering, Telecommunications, or a related field, • 3–5 years of experience working as a Data Analyst, Data Scientist or Data Engineer., • Technical Proficiency: Expertise in SQL and Python for data manipulation, analysis, and automation., • Analytical & Strategic Thinking: Proven ability to dissect complex problems and deliver strategic solutions., • Communication & Storytelling: Strong ability to distill intricate technical concepts into clear, actionable business insights., • Proactive Mindset: A detail-oriented, solution-focused professional with high standards for data accuracy., • Collaboration: Dependable team player who thrives both independently and in collaborative environments., • A positive, energetic attitude that aligns with our SHAKE culture:, • Say things as they are, • Have fun, • Always people first, • Keep rowing together, • Es posible, • Workflow Orchestration: Hands-on experience with orchestration tools like Apache Airflow., • Data Visualization: Hands-on experience building reports and dashboards in tools such as Power BI, Tableau, or QlikView., • Version Control: Strong understanding of version control best practices using Git., • Cloud Platforms: Previous experience working within cloud environments, specifically AWS, is highly appreciated. This role is more than just a job, it's an opportunity to drive meaningful impact within a fast-paced, forward-thinking organization. If you consider yourself an optimistic person, dedicated and excited to grow within a culture of transparency, collaboration, and possibility, we'd love to hear from you. #J-18808-Ljbffr

METRICA ESPAÑA, ubicada en Barcelona, busca un Científico/a de Datos con experiencia en ML y NLP para diseñar, entrenar y validar modelos y llevarlos a producción. Se valorará experiencia en entornos cloud y pipelines escalables, trabajando con equipos multidisciplinares. El candidato ideal demostrará capacidad analítica, autonomía y orientación a resultados, con skills en ML, NLP y MLOps, y experiencia en Azure/Google Cloud. Oportunidad de desarrollo en proyectos innovadores. #J-18808-Ljbffr

Overview In this senior, hands-on role you own the data-science and analytical execution layer for Commerce Analytics and Insights. You build scalable pipelines, understand data lineage, and ensure reliable metrics and outputs. Your work creates trusted foundations for scalable analytical products while staying aligned with business questions. You drive methodological rigor, document data assumptions, and reduce manual work through automation, delivering impact for commerce insights. Compensaciones / Beneficios • hybrid work model, • learning, mentorship & career development, • health benefits, wellness perks & mental health support, • diverse, inclusive, globally connected culture, • competitive salary with performance-based rewards and potential equity Responsabilidades • Own the data-science and analytical execution layer for Commerce Analytics and Commerce Insights, • Build, improve, and maintain data pipelines powering recurring analytics, • Understand source tables, data lineage, and data quality risks, • Ensure outputs are correct, consistent, and operationally reliable, • Define, document, challenge, and improve methodologies behind key metrics and analytical frameworks, • Collaborate with Solution Architect and commercial stakeholders to translate business questions into robust analyses, • Drive hands-on execution of analyses across use cases, • Create scalable approaches over one-off manual work, • Investigate data issues and resolve them with strong ownership, • Contribute to documentation, process improvement, and knowledge transfer for scalability, • Identify automation, standardization, or better data design to improve quality and speed, • Stay close to business context to ensure technical execution aligns with client needs Requisitos principales • Senior and hands-on with ownership of execution and quality, • Strong data engineering, pipelines, analytical logic, and metric design, • Proficient in SQL, Python, Spark and coding for data processing, • Experience building production-grade analytical pipelines, • Experience documenting methods and educating stakeholders on metric definitions, • Ability to understand table meanings, connections, and potential misinterpretations, • Methodologically rigorous with judgment in metric definition and validation, • Structured and practical, able to translate ambiguous questions into executable solutions, • Comfort collaborating with client-facing and non-technical stakeholders, • Strategic mindset to improve systems beyond mere execution, • Extensive experience in data science, analytics engineering, or similar in data-rich environments, • Strong understanding of experimentation, metrics, methodology design, and QA, • Experience with large-scale behavioral, commerce, or media datasets, • ownership and accountability, • collaboration with stakeholders, • clear communication, • SQL, • Python, • Spark

Are you a data enthusiast ready to make an impact? Join our team as a Data Engineer, where you’ll play a pivotal role in shaping our company’s future through sharp analysis, strategic insight, and proactive collaboration. • Develop and implement end-to-end projects powered by advanced AI tools to solve and automate key business problems and processes., • Develop and deploy traditional machine learning models (Classification/Regression)., • Foster an AI-driven culture within Holaluz by researching and disseminating AI knowledge across the company., • Stay up to date with emerging technologies and assess their suitability for Holaluz., • Populate the Data Warehouse with datasets using Python and SQL to create robust data pipelines., • Optimize and evolve the data warehousing infrastructure to ensure cost-effectiveness and scalability., • Maintain the smooth and efficient operation of Data Analytics systems., • Answer business questions using a wide range of data techniques., • Develop concise one-page documents with actionable insights and business recommendations., • Conduct in-depth analyses to solve key business problems., • Translate complex data into clear and concise presentations for senior management and stakeholders, effectively communicating key findings and recommendations., • Create compelling visualizations to effectively communicate key metrics to stakeholders., • A Bachelor’s degree in Mathematics, Engineering, Telecommunications, or a related field, • 3–5 years of experience working as a Data Analyst, Data Scientist or Data Engineer., • Technical Proficiency: Expertise in SQL and Python for data manipulation, analysis, and automation., • Analytical & Strategic Thinking: Proven ability to dissect complex problems and deliver strategic solutions., • Communication & Storytelling: Strong ability to distill intricate technical concepts into clear, actionable business insights., • Proactive Mindset: A detail-oriented, solution-focused professional with high standards for data accuracy., • Collaboration: Dependable team player who thrives both independently and in collaborative environments., • A positive, energetic attitude that aligns with our SHAKE culture:, • Say things as they are, • Have fun, • Always people first, • Keep rowing together, • Es posible, • Workflow Orchestration: Hands-on experience with orchestration tools like Apache Airflow., • Data Visualization: Hands-on experience building reports and dashboards in tools such as Power BI, Tableau, or QlikView., • Version Control: Strong understanding of version control best practices using Git., • Cloud Platforms: Previous experience working within cloud environments, specifically AWS, is highly appreciated.This role is more than just a job, it's an opportunity to drive meaningful impact within a fast-paced, forward-thinking organization. If you consider yourself an optimistic person, dedicated and excited to grow within a culture of transparency, collaboration, and possibility, we'd love to hear from you. #J-18808-Ljbffr

Founded in 2019, Qualifyze is a leading company in supply chain compliance management in the Life Sciences industry, trusted by over 1,500 pharmaceutical and healthcare companies globally. Our digital suite of solutions connects manufacturers, suppliers, and a global network of more than 250 auditors and quality experts. With a track record of over 4,500 audits across 85+ countries and the largest and most accurate supplier network and data analytics tools, Qualifyze stands as the all-in-one partner for quality compliance and supply chain risk mitigation in the Life Sciences sector. We are looking for an AI Data Scientist to join our Engineering team! As a Senior AI Data Scientist, you will lead the development and implementation of advanced artificial intelligence solutions. You will utilize machine learning techniques and deep learning architectures to solve complex problems and create innovative models that drive business value. You will work collaboratively with cross-functional teams to translate business requirements into AI-driven applications and insights. • Design, develop, and deploy AI models and algorithms to address specific business challenges., • Conduct research and experimentation to advance the state-of-the-art in AI and machine learning., • Collaborate with product managers, engineers, and domain experts to identify opportunities for AI integration., • Perform data preprocessing, feature engineering, and model selection for optimal performance., • Evaluate and optimize AI models using performance metrics and model validation techniques., • Communicate findings and insights effectively to stakeholders through data storytelling and visualization., • Mentor and guide junior team members in AI concepts, tools, and best practices., • Stay current with advancements in AI technologies and methodologies., • Proficiency in Python with a focus on AI libraries (TensorFlow, PyTorch, Keras)., • Strong understanding of machine learning algorithms and deep learning architectures (CNNs, RNNs, GANs, Transformers)., • Experience with natural language processing (NLP) techniques and frameworks (e.g., NLTK, SpaCy)., • Familiarity with data manipulation and analysis libraries (Pandas, NumPy)., • Knowledge of cloud platforms for AI deployment (AWS, GCP or Azure)., • Experience with version control systems (Git) for collaborative development., • 5+ years of experience in AI, machine learning, or related fields., • Proven experience in developing and deploying AI models in production environments., • Strong foundation in statistics and data analysis as it relates to AI., • Familiarity with Agile methodologies and product development cycles., • Experience with reinforcement learning and advanced AI techniques., • Familiarity with ethical AI practices and regulations., • Understanding of business applications and implications of AI technologies., • Experience related to LLMs, Bedrock etc. At Qualifyze, our salary ranges are transparent internally, and we aim to follow a similar approach externally. For this role, we’re happy to share a reference point within the band: the expected salary range is around 60k – 70k €, centred around the median. Final compensation will depend on experience and performance during the process, with some flexibility within the range. • Competitive, annually reviewed compensation package., • Country vacation package that increases with your tenure., • Country specific benefits offering incl. private health care, fitness and meal allowances., • Annual personal development budget to increase your impact., • Hybrid working mode, plus up to 3 months of the year work from anywhere., • All the best kit and tools to work effectively., • Annual in person all company event and celebration in Europe., • Working with an exceptional team, doing some of the best work of your career. At Qualifyze we actively support the power of diversity, uniting complementary talents and perspectives to address new challenges. Our collective strengths help us to find innovative solutions and turn difficulties into opportunities. We will encourage you to bring your authentic self to work, fostering an inclusive environment where everyone belongs and feels heard. We are an equal opportunity employer and we welcome applications from candidates of all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, marital status, religion, disability, or age. Our hiring practices are rooted in fairness and respect, and we strive to create a culture where everyone feels valued and empowered. #J-18808-Ljbffr

Senior Data Scientist The Senior Data Scientist/Engineer will be responsible for building end-to-end data science solutions for projects across the Veg PS digital landscape. These responsibilities include, but are not limited to:Partner with the crop teams and digital enablement teams to build statistical or machine learning solutions for projects in Vegetables Seeds Product Supply organization.Work closely with data engineers to build automation jobs and cloud-based pipelines for product supply projects.Demonstrate in-depth knowledge of data science tools and techniques to identify opportunities and develop data science products supporting organizational objectives and fulfill outcomes.Build and maintain cloud-based applications for deploying data science projects.Work closely with data engineers to build and maintain APIs for machine learning and data automation projects.Partner with crop science data engineering teams to align platform usage.Partner with digital transformation team to strategize and execute data integration and digital solutioning needs.Align and communicate effectively with stakeholders cross regionally and functionally to align on data analytics requirements and solutioning needs to produce enterprise level dashboards and data science products.Provide guidance, mentorship, and technical expertise to team members, fostering a collaborative and innovative work environment.Key Working relations: Crop Teams Globally, Operations & Supply Teams globally, Digital & Process Excellence Teams, Data Engineers, Data Analytics Experts, Enterprise IT Teams, Enterprise Data Science Teams, Global SPI, Commercial CX D&A Team, CS Digital Strategy & Data Teams, Global CS Engineering & Technology Teams Skills & Experience:Master’s or Ph.D in Computer Science, Statistics, Mathematics, Data Science, or related field or bachelor's with minimum 5 years' experience.Strong academic background in machine learning, AI, statistical modeling, and data analysis.Familiarity with machine learning techniques such as kNN, SVM, tree-based methods.Good knowledge of statistical skills, including hypothesis testing, probability distributions, maximum likelihood estimates, Bayesian techniques.Proficiency in programming languages: R/Python, JavaScript, Java. Demonstrated expertise with deploying solutions on cloud platforms such as AWS/Azure/GCP.Good understanding of DevOps principles and CI/CD pipelines. Familiarity with technologies such as Docker, Terraform, CloudFormation, GH Actions, AWS Lambda, EC2, ECS etc.Application and API development experience using technologies such as ReactJS, Shiny, NodeJS and FastAPI.Strong communication and stakeholder mgmt. skills to ensure business advise and influence at all levels across the organization.Professional knowledge on tools used within Vegetables Organization: Google Big Query, Tibco Spotfire, Tableau, Business Objects and preferably at least one of the following IT systems and platforms: SAP, Salesforce, Power Automate. Application Period:18.09.2026 - 05.10.2026Reference Code:881866 Division:Crop Science Location:Spain : Cataluña : Barcelona Functional Area:Information Technology Position Grade:VS 1.2 Employment Type:Regular Work Time:Full TimeContact UsAddressTelephoneE-MailAv. Baix Llobregat, 3, 08970 Sant Joan Despí,Barcelona, Espanya+34 93 495 69 99talentacquisition@bayer.com

The conceptualisation and development of Lidl Plus, a Lidl international relational programme, and its benefit plan, which will offer discounts, exclusive services, agreements with third‑party entities and financial services as its fundamental features;. SCRM Lidl International Hub – Three years

Murphy AI deploys voice AI agents that help banks collect debt. We’ve built a fully-fledged platform designed to optimize recovery rates while maintaining respectful and personalized communication. Our advanced automation streamlines the process of collecting overdue invoices for banks and other industries, providing a seamless and effective solution. Our AI‑powered agents adapt instantly, engaging with debtors across channels like voice, messengers, email and sms to maximize results while preserving trust. By combining advanced artificial intelligence with powerful automation, we’re setting a new standard for how businesses recover payments. As a fast‑growing startup that has already made an impact within less than a year in the market, we are building a talented team to scale our operations and drive our vision forward. We're looking for a Data Scientist to build the Murphy’s brain— the ML that decides who we contact, when, how and how often, to recover the most debt inside hard legal limits. Recovery is a data problem before it's a voice problem, and you own the data problem. This is one of the highest‑leverage seats in the company: your models set the strategy every AI agent executes, on every call. Murphy builds AI voice agents that collect overdue debt for banks: more recovered, faster, cheaper, fully compliant, and respectful to the debtor. We're live with Santander, Revolut, BBVA and dozens others. We've proven the product in large‑scale pilots with top‑tier banks— now we're making every contact smarter, and we need a scientist to own the models that decide how we collect. • Own the contact strategy. Who Murphy contacts, when, how often, on which channel — voice, WhatsApp, etc. — to maximise recovery inside hard legal guardrails., • Model the debtor. Propensity and uplift models — who picks up, who pays, who responds to which voice, script or offer — turned into live segments the agents act on., • Optimise with experiments. A/B tests and bandits over timing, cadence, voice and negotiation policy; find what lifts recovery, and ship it fast., • Own business‑level outcomes. Collaborate with product, engineering and commercial teams to define solutions and improve the key metrics., • You hold a degree in mathematics, statistics, machine learning, or computer science., • Rigorous with probability and statistics. Experimental design, causal inference. You reach for the right tool, and you know when a result is real., • AI‑native, ruthless on quality. You reach for AI to automate and streamline by default — and you know exactly where it gets sloppy. You never let that through, and you control quality rigorously., • You don’t need a collections or fintech background. We’d rather teach the domain to a killer than hire a lifer who can’t ship — you’ll pick up the domain, the data and the regulation cold, fast., • 2+ years shipping ML that ran in production and moved business metrics. Models that pick the best next action and measure whether it actually changed the outcome; ranking, pricing or contact‑strategy models. Models that ship as code, not notebooks., • Expert Python. Comfortable in a real production codebase — you take a model from idea to production and monitor it. We use Python for ML/AI services and TypeScript around it, on AWS and PostgreSQL., • Statistics you can defend. Experimental design, causal inference, measuring the real effect of an action — not just correlations. You know when a result is real, when it’s noise, and how to test it., • Experimentation. You’ve designed, run and interpreted A/B tests or bandits on live traffic, and shipped the winner., • You turn models into decisions. You can explain to stakeholders why the model says to call this client at 6pm — and defend it., • Salary at the top of the benchmark., • Fair equity with enormous upside potential., • Ownership - Murphy's strategy is yours to drive., • Small team, high autonomy, and outsized impact., • The founding team's direct attention, and a category with a $300B+ industry behind it., • Healthy meals: No more boring tupperware – enjoy daily meals with Nora Foods. We cover 50% of each order!, • Cobee card: Flexible compensation for transport and restaurants, so you can make the most of your net salary., • Ride into work: Forget traffic jams – hop on your Panot e-bike and cruise to the office! We cover 50% of your subscription. Our default setup is hybrid – 3 days a week at our office in Poblenou, surrounded by a thriving tech scene, and 2 days of remote work. But if there’s one thing that defines us, it’s flexibility: we trust you to organize your time and space in the way that helps you do your best work. • First Interview – Getting to Know You: A conversation with a future teammate who’s excited to find a new colleague. We’ll talk about your story, what drives you, and what you’re looking for next—no trick questions, just a genuine exchange., • Second Interview – Deep Dive: You’ll meet the Hiring Manager and potentially another team member. This is a more technical discussion where we explore your skills in detail, walk through real scenarios, and answer any questions you might have about the role., • Tech Assessment or Business Case: A practical exercise to see how you approach challenges similar to those you’d tackle at Murphy. You’ll have time to reflect and showcase your thinking—no rush, no surprises., • Call with the Founders: Our founders meet every team member and it’s a great opportunity for you to learn about the company and its direction. To learn more about how we hire and what to expect at every step, feel free to explore our Hiring Guide! We are committed to building a diverse, inclusive, and equitable workplace where everyone, regardless of background, identity, or experience, feels valued and empowered to thrive. We believe that different perspectives drive innovation and success, and we actively foster an environment where all voices are heard and respected. #J-18808-Ljbffr

Monzo is seeking a Senior Product Data Scientist to help build the bank of the future by supercharging user engagement and creating a product customers truly love. The role focuses on quantitative analysis, data mining, and presenting insights to inform product strategy. You will guide product teams to measure metrics, run AB tests, and collaborate with finance and engineering to understand LTV and ensure robust data collection. #J-18808-Ljbffr

Data Scientist – Job Description SCRM – LIDL DigitalHub About the role As a Data Scientist, you will collaborate closely with data scientists, data engineers, and business stakeholders to: • Gather requirements and translate them into actionable data science projects., • Explore and propose state-of-the-art technologies, methodologies, and models., • Develop and deploy production-ready data-driven solutions alongside the team. What you’ll bring • 3+ years of hands‑on experience working with Deep Learning models., • 5+ years of professional experience in Data Science or a closely related field., • Bachelor’s or Master’s degree in Physics, Computer Science, Mathematics, or a related quantitative field., • Experience developing machine learning solutions beyond experimentation, including their application to real‑world problems. In this Role, you’ll get to • Design, develop, and deploy robust solutions into production., • Translate business needs into actionable data science solutions., • Explore and apply state‑of‑the‑art machine learning and deep learning approaches., • Communicate results clearly and identify new opportunities to create business impact through data., • Technical Skills:, • Programming Languages (Required): Python and SQL., • Advanced Python Proficiency (Required): Numpy, Pandas, Scipy, Scikit-learn, deep learning frameworks(preferably PyTorch or TensorFlow), and visualization libraries., • Advanced Python Proficiency (Preferred): CPU and memory profiling, multiprocessing, Joblib, Numba, etc., • Systems Knowledge (Required): Git, SQL, NoSQL, and Spark (PySpark)., • Systems Knowledge (Preferred): Cloud platforms (preferably GCP), distributed systems, and ETL processes. Extra Points • You are curious, proactive, and committed to continuous learning., • You collaborate effectively with technical and business stakeholders., • You approach problems with creativity, critical thinking, and a practical mindset., • You communicate complex ideas clearly and enjoy sharing knowledge with others., • You take ownership, adapt quickly to change, and work comfortably in Agile environments. About us Who we are SCRM was created in 2015 with a vision of the future that foresaw “business and technology forever remaining intertwined”, and a steadfast mission to guide traditional businesses towards digital evolution through their clients, data, commercial strategies and omnichannel communication. Specialising in digital strategy, automation and real-time offer and content customisation, SCRM owes its success and efficiency to the use of cloud computing and the development of data platforms which rely on artificial intelligence for automatic decision-making in largescale consumer and retail markets. SCRM Lidl International Hub - Three years later, Lidl has absorbed the company and turned it into their international hub of digitalisation and customer intelligence. Amongst our missions as Lidl’s International Hub, we would highlight the following: The conceptualisation and development of Lidl Plus, a Lidl international relational programme, and its benefit plan, which will offer discounts, exclusive services, agreements with third‑party entities and financial services as its fundamental features; The creation of a cloud-based international platform for big data; The development of an international marketing automation platform; The conceptualisation, development and management of business intelligence platforms; The creation of an omnichannel payment platform; The development of advanced analytics and machine learning platforms favouring customer recommendation, foresight and analysis systems; The creation and implementation of an omnichannel, single sign‑on strategy to generate business opportunities amongst the group’s diverse range of commercial platforms and services. SCRM is currently part of Schwarz Digits - Schwarz Digits is the IT and digital division of Schwarz Group. It offers compelling digital products and services that meet Germany's high data protection standards. Schwarz Digits thus guarantees the greatest possible digital sovereignty. With this claim, Schwarz Digits provides the IT infrastructure and solutions for the extensive ecosystem of the companies of Schwarz Group and develops it further for the future. Schwarz Digits creates optimal conditions for the development of trend‑setting innovations for end customers, companies and public sector organizations. Our Mission & Vision Our Vision as SCRM is to digitalize the Schwarz Group. SCRM provide digital tools to all Schwarz businesses that enables them to understand and connect with the customer to boost their revenues. Values Do you want to know more about our Culture? We are Family:Yes, we are colleagues, but we like to have fun while working. As a real family, we suffer in hard times and celebrate together in good times, as equals and with respect. In fact, we like better the Spanish word Colegas, which includes a sense of friendship. Passion by Design:Passion is at the very heart of everything we do. Over at HQ, they say this is a because of the sunny Barcelona and our Latin vibes. The reality… it's because we love what we do. Innovation as Service:We don’t deliver technology; we deliver creation & transformation. Challenging the status quo is what inspire us because we want to lead the next generation of grocery business. Make it happen:Every day is an opportunity to make a difference. Do something good today, improve it tomorrow and don’t stop until it’s awesome. Think Big:Don’t let what is already done draw the boundaries of what’s going to come next, this is the only way to go beyond what it is expected. Perks of being part of our team • An awesome team, • Competitive salary, • Social benefits plan a 225€ monthly allowance for ticket restaurant ,transport or kindergarten • Health & Accident insurance, • Referral bonus, • Hybrid remote-office work, • 24 days of holidays per year, • Flexible scheduleand no dress code!, • Language lessons: German, English & Spanish, • Intensive timetable in July & August, • Continuous learning and development programs, • Work in one of the top 10 IT hubs in BCN located in Plaza Catalunya, • Filtered water, biscuits, fresh fruit, wide selection of teas and coffee (Nespresso, what else?), • 300€ Wellbeing voucher: To do your favorite sport, Dental Medical treatment, Optical care (Purchase of prescription glasses or contact lenses), psychological support / Mental health therapy sessions and Hearing aids SCRM provides equal employment opportunities to any job applicant or employee and confirms that it is committed to ensuring that there shall be no direct or indirect discrimination against, or harassment of, job applicants or employees on grounds of race, creed, colour, ethnic origin, nationality, gender, gender reassignment or transsexualism, religious or other similar beliefs, age, marital or family status, sexual orientation, or disability. SCRMrecruits, hires, promotes, transfers, takes disciplinary action, and makes all personnel decisions, including those related to compensation and benefits, in a non-discriminatory manner and in accordance with applicable laws. We hereby inform you that SOCIAL BIGDATA COMUNICACIÓN, S.L.U. (hereinafter “SCRM” or “we”) located at calle Bergara 13, 4ª, 08002 Barcelona, Spain, with telephone number +34 937076017 is the data controller responsible for protecting personal information you provide to us in your cv directly within the recruitment process or which we may receive from job and recruiting sites and/or headhunters. Moreover, SCRM will process any additional data that may be submitted or updated during the recruitment process. Your personal data is absolutely essential to participate. We do not collect any special category data. Please kindly do not provide us with such data. SCRM process your personal data based onyour consent and to manage, develop and follow up on the recruitment processes that suits your profile. Your personal data will not be transferred to third parties unless it is required by law. However, we may communicate your personal data to the suppliers of services which we may contract, and which have the status of data processor. Your personal data will be kept until your consent is withdrawn and in any case for a maximum period of one year from the finalization of the recruitment process. You can exercise your rights of access, rectification, cancellation, opposition, restricted processing and data portability with regard to your data at any time. To this effect you may contact the Data Protection Officer appointed by SCRM by sending a letter to the abovementioned postal address or per email to: dataprotection@scrm.lidl. You can obtain a full version of ourPrivacy Policy here. #J-18808-Ljbffr

¿Te gustaría trabajar en un proyecto internacional de inteligencia artificial y ciencia de datos, participando en el desarrollo y mejora de soluciones avanzadas de procesamiento de documentos mediante LLMs, NLP, RAG y Machine Learning? En Capitole buscamos un/a Data Scientist especializado en NLP y Large Language Models (LLMs) para unirse a nuestro equipo en Barcelona. Serás responsable de diseñar soluciones avanzadas de procesamiento de lenguaje, construir infraestructuras RAG, desarrollar modelos predictivos y llevar tus modelos a producción junto a equipos de ingeniería y producto. Tu trabajo tendrá impacto directo en decisiones estratégicas del grupo, transformando datos complejos en insights accionables y modelos robustos. • Diseñar y construir arquitecturas RAG para mejorar el rendimiento de LLMs., • Desarrollar embeddings, modelos de clasificación, tokenización y pipelines NLP., • Trabajar con transformers (BERT, GPT, RoBERTa) y técnicas de fine‑tuning., • Aplicar prompt engineering y evaluación avanzada de modelos., • Construir modelos predictivos: regresión, árboles, redes neuronales, optimización, recomendadores y forecasting., • Evaluar, validar y optimizar modelos con metodologías rigurosas., • Realizar análisis exploratorio, detección de patrones y anomalías., • Desarrollar soluciones en AWS y entornos cloud., • Colaborar con equipos de producto para llevar modelos a producción., • Crear dashboards y visualizaciones claras para stakeholders no técnicos., • Comunicar insights y resultados de forma estructurada y orientada a negocio., • Garantizar cumplimiento de GDPR y buenas prácticas de calidad de datos., • 4–5+ años de experiencia en Data Science o roles similares., • Experiencia sólida en NLP, LLMs, transformers y modelos predictivos., • Python avanzado (Pandas, PyTorch, Modin, etc.)., • Experiencia con AWS y despliegue de modelos., • Conocimientos de ETL, manipulación y limpieza de datos., • Excelentes habilidades de comunicación y storytelling técnico. Modalidad híbrida en Barcelona (2 días de presencialidad en Viladecans, Barcelona) ¿Por qué unirte a nosotros? 1.200€ anuales para formación y certificaciones. Retribución flexible (restaurante, transporte y guardería). Acceso a Wellhub con miles de gimnasios y actividades deportivas. Eventos, team buildings y actividades de equipo. Comunidades tecnológicas internas para compartir conocimiento y seguir creciendo. Proyecto internacional con tecnologías de vanguardia y gran impacto en negocio. ¿Te animas a este gran reto y equipo? El empleado se adherirá a las políticas de seguridad de la información: Tendrá acceso a información confidencial relacionada con Capitole y el proyecto en el que está trabajando. Deberá cumplir con las políticas de seguridad y las pautas internas de la empresa y del cliente. #J-18808-Ljbffr

Are you ready to design intelligent solutions that transform Supply Chain decision-making? At Accenture, we are reinventing organizations through technology, data, and artificial intelligence—helping clients unlock new sources of value and measurable impact for their businesses and society.We are looking for a Data Scientist to join our global team. This role focuses on developing advanced analytics and AI models that leverage curated Supply Chain data products (e.g., Active Inventory, Demand, Shipments, Purchase Orders) to generate predictive insights and optimization capabilities.You will play a key role in translating complex business problems into data-driven solutions—designing models that improve forecasting accuracy, optimize inventory levels, enhance service performance, and drive operational efficiency.From exploratory data analysis to model deployment and monitoring, you will contribute across the full AI lifecycle—problem framing, feature engineering, model development, validation, deployment, and performance tracking.As part of our team, you will work on cutting-edge initiatives that integrate Machine Learning, optimization techniques, and AI-driven decision support systems—ensuring solutions are scalable, explainable, and aligned with enterprise data strategies.While the role is deeply analytical and technical, you will also collaborate with data engineers, architects, and business stakeholders to ensure that analytical models translate into measurable business impact.Key ResponsibilitiesTranslate Supply Chain business challenges into data science problems and analytical frameworks.Develop predictive and prescriptive models (e.g., demand forecasting, inventory optimization, service level prediction, lead-time analysis).Perform exploratory data analysis and feature engineering using curated data products.Design, train, validate, and optimize machine learning models.Apply statistical techniques and experimentation methodologies to validate impact.Collaborate with Data Engineers to ensure data readiness, quality, and scalability.Support model deployment and monitoring in cloud environments.Ensure explainability, robustness, and governance of AI solutions.Quantify business impact through KPI definition and performance measurement.Communicate insights and model outcomes to both technical and non-technical audiences.How does the ideal candidate look like:1–3 years in Data & AI projects (strategy and/or technical development), ideally with exposure to Supply Chain & Operations or related domains.Hands-on technical expertise in building AI solutions—experience with:Python (mandatory)Machine Learning libraries (scikit-learn, XGBoost, TensorFlow, PyTorch, or similar)SQL for data explorationStrong understanding of:Supervised and unsupervised learningTime series forecastingOptimization techniques (basic linear programming or heuristics is a plus)Model evaluation and validation frameworksExperience working with cloud-based environments (Azure ML, Databricks, or similar).Understanding of end-to-end AI lifecycle: experimentation, deployment, monitoring, governance.Ability to align analytical solutions with business KPIs and measurable value.Analytical mindset with strong problem-solving skills.Excellent communication skills, simplifying complex analytical concepts for diverse audiences.Adaptability and collaboration in global, fast-paced environments.Proficiency in English (required); additional languages are a plus.The position is based in Barcelona or Madrid and follows a hybrid work model, with some days working from home and others in the office, where you can create interesting synergies with the rest of your team. It is essential to reside in Spain and have a work permit in Spain.Technical SkillsProgramming: Python (mandatory), SQL.Machine Learning: Predictive modeling, feature engineering, model tuning and validation.Time Series & Forecasting: ARIMA, Prophet, ML-based forecasting methods.Optimization Techniques: Basic operations research or heuristic methods (plus).Data Visualization: Communicating insights through dashboards or visualization tools.Cloud & ML Platforms: Azure ML, Databricks, or similar.Model Governance: Monitoring, explainability, and performance tracking.Strategic & Consulting SkillsProblem Framing: Translating business challenges into analytical solutions.Data & AI Strategy Alignment: Ensuring models integrate within broader data ecosystems.Data & AI Strategy: Ability to define and execute strategies aligned with business objectives.Business Case Development: Quantifying impact, defining KPIs, and aligning with executive priorities.Critical Thinking & Problem Solving: Structured approach to complex challenges.Communication & Presentation: Simplifying technical complexity for diverse audiences.Adaptability: Thriving in global, fast-paced, and evolving environments.#LI-EUAbout AccentureAccenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.Visit us at Declaración de igualdad de oportunidades en el empleoCreemos que nadie debe ser discriminado por sus diferencias. Todas las decisiones de empleo se tomarán sin importar la edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, discapacidad, condición de veterano militar, orientación sexual, identidad o expresión de género, información genética, estado civil, ciudadanía ni ningún otro criterio protegido por la legislación aplicable. Nuestra rica diversidad nos hace más innovadores, competitivos y creativos, lo que nos ayuda a servir mejor a nuestros clientes y comunidades.SummaryLocation: Madrid; BarcelonaType: Full time

Work smart, have fun and make an impact! EcoVadis is the leading provider of business sustainability ratings. Our solutions are backed by an international team of experts and powerful technology. We analyze data and build sustainability scorecards that give companies actionable insights into their environmental, social and ethical risks. Why apply to EcoVadis? Be a part of the global sustainability change in business. Grow your career. Work with extraordinary people. Feel valued for your contribution. Learn more about our team and culture on EcoVadis careers page. We are looking for a highly motivated Staff AI / Machine Learning Scientist with the focus on Conversational AI to join our growing AI Center of Excellence team, responsible for using AI to drive innovation across the organization and accelerate positive impact on our planet and society. In this role, you will redefine how users interact with complex enterprise domain data - transforming simple text interfaces into goal-oriented, multi-step conversational agents for a variety of use cases, from sustainable procurement to supply chain resilience to decarbonisation. You will be part of the team of over 20 scientists and engineers delivering solutions for our product portfolio and enhancing operational excellence. Your global responsibilities will include (but will not be limited to): Design and test multi-turn, state-aware conversational systems using LLM reasoning loops (e.g., ReAct, Plan-and-Solve) and multi-agent orchestration frameworks (LangGraph, AutoGen, or custom state machines) Innovate by adapting new frameworks and recent advances in generative and agentic AI Promote best practices in AI / ML and mentor junior team members Lead functional teams and initiatives to accelerate the adoption of Conversational AI Leverage Python, MLflow, Azure stack (e.g., Azure cloud, Azure ML, Azure Data Factory) and Databricks to deliver end-to-end AI solutions to build, benchmark, and maintain AI / ML models Stay in close contact with customers to evaluate their needs and recommend solutions that increase customer satisfaction and drive business value Stay on top of technology trends in the area of, but not limited to, AI and apply this knowledge to the key challenges ahead of EcoVadis PhD or Master's degree in quantitative discipline (e.g., Statistics/Applied Math, Artificial Intelligence, Computer Science, Computational Linguistics) 8+ years of overall experience in machine learning and Natural Language Processing (NLP), with at least 4+ years specializing in Conversational AI in production environments Advanced knowledge of agentic frameworks and proven track record building autonomous or semi-autonomous agentic systems at scale Experience in leading end-to-end AI initiatives in industry, from design to implementation to integration, and applying best software development practices Excellent mentoring skills and accountability for high quality and timely delivery of the initiatives they lead Experience of cross-functional collaboration in the development of AI-powered products (e.g., Engineers, Product Managers) Experience building conversational interfaces over complex enterprise domains (e.g., Supply Chain, Procurement, Financial Risk) is a plus Track record of peer-reviewed publications in top-tier NLP/AI venues (ACL, EMNLP, NeurIPS, AAAI, KDD) is a plus Offer available only for candidates eligible to work and live in Spain Location: Hybrid in Barcelona (4 days per month in the office) / Full remote from Spain In return for your expertise, we offer: • Support with all the necessary office and IT equipment, • Flexible working hours, • Wellness allowance for mental and physical wellbeing, • Access to professional mental health support, • Referral bonus policy, • Learning and development, • Sustainability events and community involvement, • Peer recognition program, • Employee-led resource groups, • Remote work from abroad policy, • Meals and Transportation Vouchers (Coverflex card), • Dental Benefits, • Life & Accident Insurance + Private Health Insurance, • Paid employee volunteer day, • Paid moving day (1/year), • Time off: 1 Community Service Day + 1 Personal Day, • Summer Hours in July and August (36 hours per week), • Hybrid Monthly Allowance for electricity and Internet Can the hiring process be adjusted to suit my needs? Yes. We want everyone going through the hiring process with EcoVadis to feel confident that you are able to demonstrate your full potential. We welcome applications from disabled people, people with long-term health conditions, and neurodiverse candidates. If you need any adjustments, including the provision of interview questions, please let the hiring team know. Our team’s strength comes from everyone’s uniqueness and is founded upon mutual respect. EcoVadis commits to equity, inclusion and reducing bias in our hiring processes. EcoVadis does not accept any form of discrimination based on color, national or ethnic origin, ancestry, citizenship, religion, beliefs, age, sex, gender identity, sexual orientation, neurodiversity, disability, parental status, or any other protected characteristic that makes you unique. In your application, we encourage you to remove personal information such as: photographs, marital status, number of children, religion, gender, residential postal code, university graduation date, past medical or parental leave(s) taken, nationality (instead, please state if you are legally eligible to work in the job region/country), university name (instead, please state any degrees obtained and the study major). Our recruitment processes do not include AI systems that make autonomous decisions impacting individuals’ rights without human oversight. Inputs and outputs of the system have been validated by humans and answers are based on algorithms that analyze previous data with which the system has been trained. We use SmartRecruiters as our applicant tracking system and to schedule interviews. Gemini is used to summarize notes from interviews and to refine job descriptions and social media messaging. AssessFirst is used to support talent assessment decisions. #J-18808-Ljbffr

AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialization of prescription medicines for some of the world’s most serious diseases. We are more than one of the world’s leading pharmaceutical companies. AstraZeneca has a multifaceted environment that cultivates collaboration and innovation. We attract top minds, and we nurture and build talent. Within Hematology R&D, we are committed to advancing the science to deliver life-changing medicines to patients most in need. With a combination-focused pipeline that exploits the power of six scientific platforms (Immuno-Oncology, Tumor Drivers and Resistance, DNA Damage Response, Antibody-drug Conjugates, Cell Therapy and Epigenetics) to help address unmet clinical needs in a host of hematological cancers, we are motivated by a dedication to the scientific discovery and collaboration that will one day help eliminate cancer as a cause of death. This unit has responsibility for the value chain from discovery through to late-stage development, enabling rapid acceleration of promising early-stage assets and life-cycle management programs The Global Development Medical Director is an important part of the Clinical Project Team (CPT), and Global Study Team (GST) working synergistically and cross functionally (in a matrix environment) with other CPT, GST and GPT members, Site Management & Monitoring (SMM), field-based liaisons, and site personnel. The Global Development Medical Director and counterpart Global Development Scientist work collaboratively in the clinical aspects underpinning a product. Accountabilities include clinical support for the development and implementation of early and/or late phase AstraZeneca sponsored clinical program strategies, including providing clinical input into design & implementation of clinical trial(s), their delivery, clinical data review, interpretation of results, reporting successfully on time, and activities required for worldwide registration of the product (i.e. clinical input to (s)NDA/(s)BLA). The Global Development Medical Director plays a critical role in the medical monitoring of a clinical study ensuring safety to patients. They share responsibility with Clinical Operations team members in the planning, execution and closure of a clinical study. The Global Development Medical Director may also provide expert input or lead functional process improvement initiatives and provide contributions to cross-asset, cross-indication working groups depending on the level of experience. This position demands strong collaborative communication skills, including the ability to engage with and influence a diverse range of stakeholders both within and external to AstraZeneca. The individual will operate according to the highest ethical standards in compliance with internal SOPs, local regulations, laws and adhere to Good Clinical Practice and regulatory requirements. Responsible for the ensuring the risk-benefit of a clinical study, ensuring that all clinical studies operate to the highest ethical and safety standards and in compliance FDA, EMEA, ICH and GCP guidelines as well as AZ SOPs regarding safety Work cross-functionally and lead all aspects of the design and implementation of clinical hemato-oncology projects, as a leader of our Clinical Product Team (CPT) and member of the Clinical Sub-Team (CST). Ensure that the overall scientific and medical content of all clinical programs is scientifically and clinically rigorous. Significant contributor to the development of program strategy for assigned compound(s)/programs and work with GPT/CPT members to develop a compelling business case for governance approval Provide expert clinical input to influence the study design via collaboration with primary investigators, key external experts (KEE), study sites, team members, and internal stakeholders, such that it reflects clinical practice, evolving landscape, regulatory and reimbursement requirements, and meets the strategic program objectives. Participate or lead as needed the review and assessment of new opportunities and ESRs. Accountable for the relevance and accuracy of clinical science underpinning of clinical study based on detailed scientific review and consultation, for the clinical and scientific leadership and integrity of protocols and/or components of clinical plans and for the delivery of final protocol and its governance approval. Provides expert input into/lead the development of the protocol and related documents and the development and delivery of the clinical study report Full responsibility for the planning, implementation and daily operation of assigned drug development projects in hemato-oncology. Supports or leads interactions with global medical affairs, marketing companies, commercial, in collaboration with GCH/GCPL to ensure cross functional input into protocols. Responsible for timely responses to investigational study sites for local ICF changes, protocol & EC/IRB questions/requests. Contribute to development and delivery of face to face or virtual investigator and monitor training. Support the development of clinical components of regulatory and EC/IRB submission documents for instances where marketing approval is warranted Prepare clinical development plans that integrate pre-clinical and early clinical findings while working to ensure cross-functional alignment on an ongoing basis throughout the early phases of clinical development. Present and defend protocols and clinical development plans at internal governance forums. Serve as Medical Monitor, responsible for the safety monitoring of clinical trials, and as medical expert for Phase I/II or Phase III studies, innovating the process from protocol development thorough individual study report and coordinated regulatory documentation. Prepare various official and regulatory documents for Regulatory and other agencies, such as Dossiers, BLAs, INDs, Safety and Annual reports, handling of responses to regulatory agencies regarding questions about complex clinical development issues (e.g., safety or efficacy). Implement clinical R&D policies, SOPs and related directives. Contribute and support Department/Clinical initiatives to improve the quality and content of all clinical programs as well as the cross functional/organization processes designed to effectively deliver our R&D portfolio. • MD or international equivalent is required, • Minimum of 2 years of relevant experience, • Medical hemato-oncology clinical training is required, • Board Certification is preferred, • Clinical or research experience (in an academic, pharmaceutical or CRO environment) related to the design and/or conduct of clinical studies in oncology and/or malignant hematology is preferred, • Possesses general knowledge of Good Clinical Practice (GCP) and other regulations governing clinical research., • Possesses general knowledge of 1) medical monitoring; 2) Regulatory approval process in relevant countries; 3) pharmaceutical industry/R&D operations; 4) marketing and commercial fundamentals., • Good understanding of clinical trials methodology, • Strong communication & presentation skills to clearly communicate scientific concepts /data to leadership committees both internally or externally, • Working at AstraZeneca Here you’ll have the chance to create a substantial difference to patients’ lives! With science at its heart, this is the place where breakthroughs born in the lab become transformative medicines – for the world’s most complex diseases. Answer unmet medical needs by pioneering the next wave of science, focusing on outcomes and crafting the patient ecosystem. LinkedIn https://www.linkedin.com/company/1603/ Facebook https://www.facebook.com/astrazeneca/ Instagram https://www.instagram.com/astrazeneca_careers/?hl=en AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements. Date Posted 20-Aug-2026 Closing Date 18-Sep-2026 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements. #J-18808-Ljbffr

Dribia som un estudi d’innovació en ciència de dades: dissenyem algoritmes d’optimització i predicció a partir de la detecció de patrons en les dades. Despleguem els nostres algoritmes per crear solucions de software a mida basades en analítica avançada de dades i intel·ligència artificial. Som un equip amb experiència, creatiu i potent tècnicament. Combinem una contrastada trajectòria en consultoria privada en ciència de dades amb una sòlida formació acadèmica. Hem executat projectes per empreses de diversos sectors que inclouen: previsió de vendes, optimització de processos, recomanació de productes, previsió de fugues de clients o anàlisi del llenguatge natural entre d’altres. Aquest talent el canalitzem a través d’una metodologia àgil pròpia, específica per a projectes de dades i àmpliament validada. Lliurem solucions completes end-to-end basades en codi obert, documentat i totalment transferible als nostres clients (sense restriccions d'IP i llicències). A més, proveïm del suport necessari perquè el client pugui integrar i operar amb les solucions lliurades autònomament Els equips en un projecte de desenvolupament estàndard consisteix en un equip de dedicació total 1.4 FTE1. Aquest equip està liderat per un responsable de Projecte (RP) al 40%, un o dos desenvolupadors principals (Dev), amb un total de dedicació del 100%, i un possible suport amb dedicació variable. Aquesta dedicació pot variar en funció de l’experiència del científic de dades, dels requisits del client i de les particularitats del projecte. En general l’activitat de projecte es duu a terme a les oficines de Dribia (o en remot) i, si les condicions ho permeten, les presentacions de final d’sprint es duen a terme a les oficines del client (1 dia cada dues setmanes). A Dribia som conscients que la creativitat requereix diàleg i perspectiva. En aquesta línia, a part de l'equip amb dedicació intensiva en el projecte, setmanalment organitzem seminaris de discussió sobre els projectes actius, on l'equip de Dribia al complet contribueix al disseny i resolució de problemes. A Dribia participem de tot el cicle de vida dels projectes i, per tant, un cop entreguem les nostres solucions, també ens encarreguem del seguiment, resolució d’incidències i millores. Aquestes tasques poden estar articulades per bossa d’hores o per una dedicació constant. Sigui quina sigui la fórmula, trimestralment obliguem el client a dedicar les hores non utilitzades en millores incrementals de la solució i, per tant, afegint una part més creativa al manteniment típic de solucions desplegades. Sempre que algú tingui disponibilitat, incentivem la dedicació en la millora d’eines internes: desenvolupament de solucions pròpies, llibreries pròpies, snippets de codi, documentació interna, etc. Si es considera oportú, aquestes eines es poden alliberar i publicar en llicències de codi obert. La metodologia de treball en els projectes interns serà la més similar possible a la feta servir amb els clients. Iterativa i entregables cada 2 setmanes. Els científics de dades Sènior poden donar suport a l’equip comercial en la redacció de propostes sobretot en la definició de la solució algorítmica i planificació, així com la dedicació aproximada per a cada una de les fases. No s’envia cap proposta comercial a un client sense l’acord de l’equip de projecte proposat. Si es requereix una defensa presencial de la proposta, hi participa tot l’equip, on cada u es presentarà i el responsable del projecte defensarà la part tècnica i planificació del projecte. Incentivem preparar i dur a terme sessions de formació interna per tal de difondre les noves eines desenvolupades, coneixements que es creguin rellevants o compartir reptes dels projectes. Aquestes sessions les anomenem Pizza Slides i es duen a terme cada un o dos divendres a les oficines abans de dinar (dinar a càrrec de Dribia). Llicenciatura o grau amb un alt contingut en matemàtiques i estadística (per exemple física o matemàtiques) amb experiència en desenvolupament de programari en Python. Els coneixements en algorítmia i/o intel·ligència artificial són desitjables però no imprescindibles. Per sobre de tot valorem el talent, la comunicació, la creativitat, i l’organització. Grau + mínim de 2 anys d’experiència en programació. Experiència de 4 anys en programació (sigui màster o laboral) o un doctorat amb ús intensiu de l’estadística i la programació. Experiència de 6 anys en programació i experiència laboral de 3 anys en el sector privat de les ciències de dades. Experiència mínima de 2 anys com a Sènior Data scientist a Dribia. #J-18808-Ljbffr

Overview In this role you provide medical input and oversight for clinical development programs within Global Clinical Development, collaborating with cross-functional teams and GCPL/line managers. You may deputize on defined tasks, lead medical data review, and support protocol development, amendments, and scientific content. You will engage with Ethics Committees, investigators, and external KOLs to advance program delivery and publications, contributing to a patient-centric dermatology portfolio. Compensaciones / Beneficios • Top Employer Spain, • Top Employer Germany (first time), • people-centric culture, • opportunities for professional development Responsabilidades, • Support GCPL and Clinical Development Scientist in designing development plans and studies, • Back up GCPL responsibilities for defined tasks under supervision, • Contribute to study synopsis, protocol and amendments with GCPLs and CDS, • Review scientific content of protocols, amendments, CSRs, ICF, CRF and related documents (IB, briefing packages, ISE, ISS, publication), • Deputize GCPL as a member of the Global Project Team, • Provide medical support to Study Team for Ethics Committees and investigators, • Lead medical data review including eligibility and safety data, • Support protocol deviation review medically, • Partner with CDS and Clinical Operations to support study delivery (enrollment, eligibility, protocol violations, amendments), • Assist GCPL and CDS in data analysis, data review and publication content after study results, • Remain a core member of the Clinical Study Team, • Build relationships with external KOLs Requisitos principales, • Medical degree, • Dermatology specialty is a plus, • Prior experience in clinical studies (sub-investigator or industry/CRO), • Fluency in English (written and spoken), • Proficiency with MS Office, • Strong communication and presentation abilities, • Leadership and influence to drive consensus, • Analytical and problem-solving mindset, • MS Office, • Medical data review, • Clinical study documentation review

Collaborate with Data Scientists, ML Engineers, Product teams, and business stakeholders to deliver impactful data-driven solutions. Data Scientist, Machine Learning Engineer, or similar role. AWS services (S3, Lambda), Databricks, MongoDB, Apache Airflow, Jenkins, and Big Data technologies.

Overview As a Senior Data Scientist at Clarivate in Barcelona, you will build and productionize ML/AI/NLP solutions that enhance knowledge search for IP and science domains. You will work within a cross-functional Data Science, Search and Content team to turn strategic information needs into impactful AI capabilities. The role combines exploration, experimentation, and production deployment to drive measurable business impact. You will join a collaborative, mentorship-driven environment that values cutting-edge ML and ongoing learning. Compensaciones / Beneficios • hybrid work model, • flexible hours, • support from a large Data Science team, • mentorship and growth opportunities Responsabilidades, • Identify strategic information needs from clients and translate them into effective AI solutions, • Collaborate with fellow Data Scientists to support high-stakes decision-making in researchers' workflows, • Explore data sources, perform exploratory analysis, and recommend data enhancements, • Design and run experiments to validate hypotheses and quantify business impact, • Partner with engineering to deploy solutions into production and ensure seamless integration, • Communicate findings clearly to technical and non-technical audiences, • Promote best practices in ML, experimentation, and model evaluation Requisitos principales, • Master's degree in Computer Science, Data Science, Machine Learning, Engineering, or related field (preferred), • 5+ years of professional experience in ML/AI/NLP/data science with production deployments, • 3+ years of hands-on ML lifecycle experience (data prep, feature engineering, modeling, validation, deployment, monitoring, retraining), • 5+ years of Python development experience for production-grade apps and data pipelines, • 2+ years of cloud ML platforms (AWS, GCP, and/or Azure) and MLOps tools (Docker, MLflow) in enterprise environments, • 3+ years in Agile software development with CI/CD and evolving requirements, • Strong problem-solving aptitude, • Excellent communication and presentation abilities, • Collaborative mindset with ability to influence cross-functional stakeholders, • Machine Learning, • Natural Language Processing, • Generative AI

Overview As a Senior Data Scientist/Engineer, you will design end-to-end data science solutions for Bayer’s Vegetables Seeds Product Supply initiatives. You’ll partner with crop and digital enablement teams to build ML models and data products that support organizational objectives, while deploying cloud-based applications and APIs. You will collaborate with data engineers and cross-region stakeholders to deliver enterprise dashboards and data-driven solutions, mentoring teammates and shaping digital transformation across the supply landscape. Responsabilidades • Develop end-to-end data science solutions for Vegetables Seeds Product Supply projects, • Collaborate with crop, digital enablement, and data engineering teams to build ML models, automation jobs, and cloud-based pipelines, • Deploy data science projects via cloud-based applications and APIs, • Align platform usage with crop science data engineering teams and digital transformation initiatives, • Communicate with stakeholders across regions to define analytics requirements and deliver enterprise dashboards and data products, • Provide guidance and mentorship to team members to foster a collaborative, innovative environment Requisitos principales, • Master’s or Ph.D in Computer Science, Statistics, Mathematics, Data Science, or related field or bachelor’s with minimum 5 years' experience, • Strong ML/AI, statistical modeling, and data analysis background, • Proficiency in R/Python, JavaScript, Java, • Experience deploying solutions on AWS/Azure/GCP, • Understanding of DevOps, CI/CD, and technologies like Docker, Terraform, CloudFormation, GH Actions, AWS Lambda, EC2, ECS, • API and web app development experience (ReactJS, Shiny, NodeJS, FastAPI), • Experience with Google BigQuery, Tibco Spotfire, Tableau, Business Objects; familiarity with SAP, Salesforce, Power Automate, • Strong communication, • Stakeholder management, • Collaboration and mentorship, • Machine learning techniques (kNN, SVM, tree-based methods), • Statistical methods and hypothesis testing, • Cloud platforms (AWS/Azure/GCP)

As a Senior Data Scientist/Engineer, you will design end-to-end data science solutions for Bayer’s Vegetables Seeds Product Supply initiatives. You will collaborate with data engineers and cross-region stakeholders to deliver enterprise dashboards and data-driven solutions, mentoring teammates and

Overview En CaixaBank Advanced Analytics, construirás soluciones analíticas de impacto para resolver problemas de negocio y apoyar la toma de decisiones. Trabajarás de forma transversal con áreas de negocio, tecnología y datos, contribuyendo a la adopción de modelos y herramientas en procesos decisionales. Participarás en la comunidad Analytics para difundir buenas prácticas y desarrollar capacidades analíticas. Esta posición ofrece crecimiento profesional, aprendizaje continuo y exposición a proyectos de alto impacto en un banco líder en España y Portugal. Compensaciones / Beneficios • onboarding personalizado, • seguro de salud completo, • plan de pensiones con aportaciones CaixaBank, • Retribución flexible (transporte, formación, idiomas, guardería), • flexibilidad (trabajo remoto, horario flexible), • Top Employer Responsabilidades, • Desarrollar soluciones analíticas para problemas reales del banco (modelos predictivos, segmentaciones, scoring, optimización), • Aplicar validación, interpretabilidad, robustez y monitorización de modelos, • Colaborar con áreas de negocio para asegurar que las soluciones responden a necesidades y se integran en procesos de decisión, • Comunicar resultados analíticos de forma clara para diferentes audiencias, • Acompañar a los usuarios en la adopción de las soluciones, • Contribuir a la preparación de materiales y contenidos para la Analytics Community Requisitos principales, • Grado o máster en disciplinas cuantitativas, • Experiencia mínima de 2 años en desarrollo de modelos analíticos, ML o ciencia de datos para negocio, • Experiencia en trabajo con equipos multidisciplinares y interlocución entre negocio y desarrollo técnico, • Valorable experiencia en industrialización, monitorización o puesta en producción de modelos, • Comunicación efectiva, • Colaboración transversal, • Enfoque en resultados y impacto, • Python para análisis de datos, modelización y automatización, • Librerías data science (scikit-learn, pandas, NumPy), • SQL/BigQuery para extracción y análisis de datos

Overview In this role you will partner with performance marketing to translate data into measurable growth. You will build and deploy models, run experiments, and shape marketing investments across channels. You’ll collaborate with cross-functional teams to scale strategies and uncover high-impact opportunities. The role combines data science, experimentation, and analytics to optimize ROI in a global education marketplace. Join a fast-paced, human-led, tech-enabled environment that values learning and impact. Compensaciones / Beneficios • monthly lessons allowance, • Learning & Development budget, • time off for self-development, • equity, • health insurance, • relocation package Responsabilidades, • Collaborate with performance marketing teams to develop data solutions for optimizing campaigns, budgets, and results, • Apply recommendation systems and clustering to identify effective combinations of search terms, ad copies, and landing pages, • Scale new channels and refine targeting and bidding through regression models that assign predictive weights to funnel events, • Lead rollout of LTV models and use insights to guide marketing investments and cross-functional strategy, • Design and analyze A/B tests to measure marketing effectiveness using causal inference methods, • Work with Data Engineering to build scalable data pipelines and evolve ETL processes while adopting new tools, • Contribute to cross-company initiatives aligning with the data organization’s vision, • Support applying predictive models in performance marketing channels Requisitos principales, • Extensive experience as a Data Scientist in a B2C performance marketing context, • Knowledge of bidding, incrementality, and attribution, • Skilled in developing and deploying machine learning models, • Experience with experimentation and A/B test design/evaluation, • Experience in marketplaces or digital businesses with performance marketing, • Strong SQL and Python coding skills, • Creative, proactive approach to developing and evaluating new solutions, • Advanced written and verbal English communication, • Creative mindset, • Proactive attitude, • Curiosity and problem-solving, • SQL, • Python, • Machine learning model development and deployment

About Accenture Data & AI for Supply Chain TeamWe are a global Center of Excellence specializing in Data & AI for Supply Chain, with a rapidly growing team of 200+ professionals.Our mission is to turn data into a strategic advantage, driving operational excellence, agility, and smarter, faster decis

Overview As part of the Data, Analytics & AI team, you build production-ready analytics and ML models to optimize pricing, promotions, and business processes. You’ll translate stakeholder needs into predictive insights that drive revenue and cut costs, while collaborating across functions and sharing best practices. You’ll tackle automation, scalability, and data-driven optimization in a global fashion company. This role offers the chance to shape analytical solutions in a high-impact retail environment and work with cloud-based technologies. Compensaciones / Beneficios • base pay, • paid leave, • product discounts, • total rewards package, • hybrid work model, • benefits details upon request Responsabilidades, • Develop production-ready analytical solutions for pricing and promotions problems, • Apply advanced analytics, ML, and AI techniques across internal and external data sets using cloud tech, • Collaborate on pricing elasticity modeling, pricing recommendations, and promotions optimization, • Translate complex data and methodologies into actionable insights and recommendations, • Communicate results clearly to both technical and non-technical audiences, • Identify trends to drive innovation and improvements in processes, • Document code and contribute to community best practices, • Collaborate with cross-functional teams and embrace Levi’s values Requisitos principales, • Strong SQL and Python skills, • Experience with multivariate statistical modeling and ML techniques (e.g., random forests, boosting, time-series forecasting, Bayesian methods), • Experience with cloud platforms (GCP, AWS), • Ability to manage multiple deliverables across stakeholders, • Experience in commercial environments with business impact, • Cross-functional collaboration, • Effective communication to varied audiences, • Empathy and teamwork, • Python, • SQL, • Multivariate statistics and ML (clustering, regression, PCA, factor analysis, time-series)

Overview En Akuaro buscas a un/a Data Scientist / ML Engineer Senior para transformar datos industriales en modelos de Machine Learning que apoyen decisiones y operaciones. Te unirás a un equipo interno reciente y, al principio, colaborarás con partners para transferir conocimiento y ganar ownership de soluciones de IA. Trabajarás para diseñar e implementar modelos fiables y explicables que se integren en producción, con un enfoque práctico y de alto impacto. Es una oportunidad para impulsar la IA en áreas críticas como producción, energía y logística. Compensaciones / Beneficios • modelo de trabajo híbrido (50% remoto), • horario flexible, • jornada intensiva en verano, • comedor de empresa subvencionado, • aparcamiento, • formación continua Responsabilidades, • Diseñar, entrenar y validar modelos de ML para producción en áreas como producción, energía, calidad y logística, • Convertir necesidades de negocio en problemas analíticos y desarrollar soluciones de forecasting, clasificación, regresión o detección de anomalías, • Liderar el ciclo de vida del modelo desde análisis exploratorio y feature engineering hasta despliegue en producción, • Implementar y evolucionar prácticas de MLOps para trazabilidad, reproducibilidad y monitoreo, • Investigar y aplicar GenAI y LLM para crear activos reutilizables y metodologías innovadoras Requisitos principales, • Experiencia en desarrollo y despliegue de ML con Python, • Dominio del ciclo de vida completo de modelos (experimentación, validación, despliegue y monitoreo), • Conocimiento del ecosistema Python para ML (scikit-learn, XGBoost, pandas) y buen nivel de SQL, • Experiencia práctica con GenAI/LLM, • Familiaridad con MLOps y plataformas cloud como Azure o Databricks, • Capacidad para trabajar con datasets complejos y aplicar rigor estadístico, • Inglés profesional alto y disponibilidad para trabajo híbrido en Barcelona, • Colaboración con stakeholders de negocio, • Proactividad y orientación a impacto, • Comunicación clara y capacidad de traducir problemas de negocio en soluciones analíticas, • Python para ML (scikit-learn, XGBoost, pandas), • SQL, • GenAI/LLM

Overview In this role you will lead advanced analytics and AI-driven solutions within a cross-functional Data Science team. You’ll design and deploy ML models at scale to impact multiple business areas in travel, from personalization to optimization, contributing to eDO’s mission to become a global leader in online travel. You’ll mentor peers, engage with stakeholders, and stay at the forefront of ML/AI advances to drive value. This hybrid role offers a hands-on, impact-focused environment with a strong emphasis on practical ML solutions and innovation. Compensaciones / Beneficios • compensation package, • Prime Plus membership and benefits, • flexible benefits, • birthday day off, • Coursera access and learning programs, • onboarding program Responsabilidades, • Drive value and growth with multidisciplinary teams and stakeholders, • Own initiatives from inception to delivery, • Provide transparency on progress to team and stakeholders, • Influence decision-making with best-practice ML guidance, • Stay updated on advances in machine learning and AI, • Lead and mentor data scientists, • Advocate for machine learning and AI within the organization, • Uphold company values and foster a collaborative environment Requisitos principales, • Degree in a quantitative field, • 5+ years in data science, AI, or ML engineering, • Solid understanding of statistical methods and ML techniques with open-source frameworks, • Production-ready ML solutions and MLOps experience, • Experienced Python developer; other languages a plus, • Cloud platforms and scalable solution experience, • Generative AI experience with LLMs and LangChain a plus, • Strong written and oral English communication skills, • Proactive with disruptive thinking, • Strong communication and stakeholder management, • Leadership and mentoring abilities, • Python, • MLOps, • Cloud platforms

Overview En Akuaro buscas a un/a Data Scientist / ML Engineer Senior para transformar datos industriales en modelos de Machine Learning que apoyen decisiones y operaciones. Te unirás a un equipo interno reciente y, al principio, colaborarás con partners para transferir conocimiento y ganar ownership de soluciones de IA. Trabajarás para diseñar e implementar modelos fiables y explicables que se integren en producción, con un enfoque práctico y de alto impacto. Es una oportunidad para impulsar la IA en áreas críticas como producción, energía y logística. Compensaciones / Beneficios • modelo de trabajo híbrido (50% remoto), • horario flexible, • jornada intensiva en verano, • comedor de empresa subvencionado, • aparcamiento, • formación continua Responsabilidades, • Diseñar, entrenar y validar modelos de ML para producción en áreas como producción, energía, calidad y logística, • Convertir necesidades de negocio en problemas analíticos y desarrollar soluciones de forecasting, clasificación, regresión o detección de anomalías, • Liderar el ciclo de vida del modelo desde análisis exploratorio y feature engineering hasta despliegue en producción, • Implementar y evolucionar prácticas de MLOps para trazabilidad, reproducibilidad y monitoreo, • Investigar y aplicar GenAI y LLM para crear activos reutilizables y metodologías innovadoras Requisitos principales, • Experiencia en desarrollo y despliegue de ML con Python, • Dominio del ciclo de vida completo de modelos (experimentación, validación, despliegue y monitoreo), • Conocimiento del ecosistema Python para ML (scikit-learn, XGBoost, pandas) y buen nivel de SQL, • Experiencia práctica con GenAI/LLM, • Familiaridad con MLOps y plataformas cloud como Azure o Databricks, • Capacidad para trabajar con datasets complejos y aplicar rigor estadístico, • Inglés profesional alto y disponibilidad para trabajo híbrido en Barcelona, • Colaboración con stakeholders de negocio, • Proactividad y orientación a impacto, • Comunicación clara y capacidad de traducir problemas de negocio en soluciones analíticas, • Python para ML (scikit-learn, XGBoost, pandas), • SQL, • GenAI/LLM

Overview As a Data Scientist at Gameloft Barcelona, you will explore vast streams of player data to build models that boost game revenue. You work within the Global Data Science and Analytics team, turning insights into deployed solutions across live titles. You’ll prototype ML models, run experiments, and present actionable findings to game teams and stakeholders. This role offers hands-on impact on live products and opportunities to grow into more senior, autonomous leadership of data initiatives. You will thrive in a collaborative, cross-studio environment driving data-driven decisions for exciting gaming experiences. Compensaciones / Beneficios • Permanent contract, • 25 vacation days + Birthday day off, • Private medical health insurance, • Flexible compensation with Ticket Restaurant Card, • Free language courses, • Work-from-home hybrid model Responsabilidades, • Analyze large-scale player data with Python and SQL to produce actionable insights, • Perform feature engineering on data from the data warehouse and manage code with Git, • Prototype and improve ML models and prediction pipelines with experimental design and A/B testing, • Present findings and recommendations to non-technical stakeholders across game teams, • Develop end-to-end features or models and frame problems clearly for cross-functional adoption, • Contribute to experiments and deliver improvements adopted by game teams Requisitos principales, • Proficient in Python (pandas, NumPy, scikit-learn, Matplotlib, seaborn) and SQL for large-scale analysis, • Experience with ML workflows including experimental design, causal inference, and A/B testing, • Familiar with Git and working with large-scale data in a data warehouse, • Master's degree in a quantitative field, • Ability to communicate and present to non-technical stakeholders, • Strong collaboration with cross-functional teams, • Problem solving and analytical thinking, • Python (pandas, NumPy, scikit-learn, Matplotlib, seaborn), • SQL, • Git

Overview As a Senior Data Scientist at Clarivate in Barcelona, you will build and productionize ML/AI/NLP solutions that enhance knowledge search for IP and science domains. You will work within a cross-functional Data Science, Search and Content team to turn strategic information needs into impactful AI capabilities. The role combines exploration, experimentation, and production deployment to drive measurable business impact. You will join a collaborative, mentorship-driven environment that values cutting-edge ML and ongoing learning. Compensaciones / Beneficios • hybrid work model, • flexible hours, • support from a large Data Science team, • mentorship and growth opportunities Responsabilidades, • Identify strategic information needs from clients and translate them into effective AI solutions, • Collaborate with fellow Data Scientists to support high-stakes decision-making in researchers' workflows, • Explore data sources, perform exploratory analysis, and recommend data enhancements, • Design and run experiments to validate hypotheses and quantify business impact, • Partner with engineering to deploy solutions into production and ensure seamless integration, • Communicate findings clearly to technical and non-technical audiences, • Promote best practices in ML, experimentation, and model evaluation Requisitos principales, • Master's degree in Computer Science, Data Science, Machine Learning, Engineering, or related field (preferred), • 5+ years of professional experience in ML/AI/NLP/data science with production deployments, • 3+ years of hands-on ML lifecycle experience (data prep, feature engineering, modeling, validation, deployment, monitoring, retraining), • 5+ years of Python development experience for production-grade apps and data pipelines, • 2+ years of cloud ML platforms (AWS, GCP, and/or Azure) and MLOps tools (Docker, MLflow) in enterprise environments, • 3+ years in Agile software development with CI/CD and evolving requirements, • Strong problem-solving aptitude, • Excellent communication and presentation abilities, • Collaborative mindset with ability to influence cross-functional stakeholders, • Machine Learning, • Natural Language Processing, • Generative AI

Overview In this role you will partner with performance marketing to translate data into measurable growth. You will build and deploy models, run experiments, and shape marketing investments across channels. You’ll collaborate with cross-functional teams to scale strategies and uncover high-impact opportunities. The role combines data science, experimentation, and analytics to optimize ROI in a global education marketplace. Join a fast-paced, human-led, tech-enabled environment that values learning and impact. Compensaciones / Beneficios • monthly lessons allowance, • Learning & Development budget, • time off for self-development, • equity, • health insurance, • relocation package Responsabilidades, • Collaborate with performance marketing teams to develop data solutions for optimizing campaigns, budgets, and results, • Apply recommendation systems and clustering to identify effective combinations of search terms, ad copies, and landing pages, • Scale new channels and refine targeting and bidding through regression models that assign predictive weights to funnel events, • Lead rollout of LTV models and use insights to guide marketing investments and cross-functional strategy, • Design and analyze A/B tests to measure marketing effectiveness using causal inference methods, • Work with Data Engineering to build scalable data pipelines and evolve ETL processes while adopting new tools, • Contribute to cross-company initiatives aligning with the data organization’s vision, • Support applying predictive models in performance marketing channels Requisitos principales, • Extensive experience as a Data Scientist in a B2C performance marketing context, • Knowledge of bidding, incrementality, and attribution, • Skilled in developing and deploying machine learning models, • Experience with experimentation and A/B test design/evaluation, • Experience in marketplaces or digital businesses with performance marketing, • Strong SQL and Python coding skills, • Creative, proactive approach to developing and evaluating new solutions, • Advanced written and verbal English communication, • Creative mindset, • Proactive attitude, • Curiosity and problem-solving, • SQL, • Python, • Machine learning model development and deployment

Overview As a Senior Data Scientist at Clarivate in Barcelona, you will build and productionize ML/AI/NLP solutions that enhance knowledge search for IP and science domains. You will work within a cross-functional Data Science, Search and Content team to turn strategic information needs into impactful AI capabilities. The role combines exploration, experimentation, and production deployment to drive measurable business impact. You will join a collaborative, mentorship-driven environment that values cutting-edge ML and ongoing learning. Compensaciones / Beneficios • hybrid work model, • flexible hours, • support from a large Data Science team, • mentorship and growth opportunities Responsabilidades, • Identify strategic information needs from clients and translate them into effective AI solutions, • Collaborate with fellow Data Scientists to support high-stakes decision-making in researchers' workflows, • Explore data sources, perform exploratory analysis, and recommend data enhancements, • Design and run experiments to validate hypotheses and quantify business impact, • Partner with engineering to deploy solutions into production and ensure seamless integration, • Communicate findings clearly to technical and non-technical audiences, • Promote best practices in ML, experimentation, and model evaluation Requisitos principales, • Master's degree in Computer Science, Data Science, Machine Learning, Engineering, or related field (preferred), • 5+ years of professional experience in ML/AI/NLP/data science with production deployments, • 3+ years of hands-on ML lifecycle experience (data prep, feature engineering, modeling, validation, deployment, monitoring, retraining), • 5+ years of Python development experience for production-grade apps and data pipelines, • 2+ years of cloud ML platforms (AWS, GCP, and/or Azure) and MLOps tools (Docker, MLflow) in enterprise environments, • 3+ years in Agile software development with CI/CD and evolving requirements, • Strong problem-solving aptitude, • Excellent communication and presentation abilities, • Collaborative mindset with ability to influence cross-functional stakeholders, • Machine Learning, • Natural Language Processing, • Generative AI