Data Scientist Jobs

About Revolut People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 75+ million customers get more from their money every day. As we continue our lightning-fast growth, 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. We have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. We're looking for brilliant people who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution. About The Role Our Data Science team solves complex problems with smart, practical solutions and improves how customers experience Revolut. Our Deep Learning Engineers are at the forefront of GenAI and LLM integration, building transformative products that range from user-facing tools to advanced process optimisation. We're looking for a Deep Learning Engineer to work with the most advanced LLMs available, developing solutions that have a tangible impact on millions of customers worldwide. You’ll collaborate cross-functionally with Product Owners, Software Engineers, Data Analysts, and Operations Managers to deliver automated, scalable solutions that elevate and revolutionise customer interaction. Responsibilities Building AI-driven features from scratch, like personal assistants, chatbots, copilots, and more Developing user-focused and backend features using deep learning Delivering impactful, scalable, data-driven AI solutions Collaborating with Product, Engineering, and Data teams to solve deep learning challenges Integrating cutting-edge AI technologies to drive innovation at Revolut Requirements Experience in deep learning within natural language processing area and large language models A bachelor's degree in a STEM major (mathematics, computer science, engineering) Excellent knowledge of data science (Python, SQL) and production tools A deep understanding of probability and statistics fundamentals Big-picture thinking to correctly diagnose problems and productionise research Excellent communication and collaboration skills to partner with Product Owners and business heads Nice to Have A master's or PhD in a quantitative discipline Solid experience with additional programming languages, such as Java, Scala, C++ Experience at a large tech company worth >$15B School/university Olympic medal competitions in physics, maths, economics, or programming #J-18808-Ljbffr

Managing Consultant, AI Subject Matter Expert – Advisors & Consulting Services We are seeking an experienced Consulting Project Manager with deep, hands‑on expertise in Generative AI and Agentic AI systems to lead end‑to‑end delivery of AI transformation initiatives for clients. This role sits at the intersection of AI engineering, product thinking, and consulting delivery—owning outcomes from use‑case definition through production deployment. Key Responsibilities Lead client engagements focused on GenAI and agentic AI solutions, from discovery and architecture through delivery and scale Translate business problems into LLM‑driven and agent‑based solutions (e.g., autonomous workflows, AI copilots, decision agents) Act as a hands‑on delivery lead, reviewing prompts, agent logic, RAG pipelines, evaluation metrics, and deployment approaches Manage multi‑disciplinary teams (AI engineers, data scientists, cloud engineers, UX) using agile delivery models Own client communication, roadmap definition, risk management, and value realization Ensure solutions meet security, governance, compliance, and responsible AI standards Support pre‑sales by contributing to proposals, solution design, and client workshops Required Experience & Skills AI & Technical (Hands‑On – Mandatory) Strong, practical experience working with LLMs, such as OpenAI / Azure OpenAI, Anthropic, Gemini, or open‑source models (LLaMA, Mistral, etc.) Hands‑on experience with: Prompt engineering and prompt optimization RAG architectures (vector databases, embeddings, retrieval strategies) Agentic frameworks (e.g., LangGraph, AutoGen, CrewAI, Semantic Kernel, custom agent orchestration) Experience building and deploying multi‑agent or tool‑using systems (function calling, APIs, workflows) Familiarity with LLM evaluation, observability, latency/cost optimization, and hallucination mitigation Working knowledge of cloud AI stacks (Azure, AWS, or GCP) and modern MLOps / LLMOps practices Consulting & Delivery 8–12+ years of experience in consulting, digital transformation, or AI delivery roles Proven track record managing complex client engagements with senior stakeholders Strong ability to bridge business strategy and technical execution Experience delivering AI solutions in banking, retail, telecom, or regulated industries is a strong plus Preferred Qualifications Background as an AI engineer, data scientist, or solution architect before moving into project/program leadership Experience defining AI operating models and scaling GenAI across an enterprise Exposure to agentic commerce, autonomous decisioning, or AI‑driven operations Certifications in cloud platforms or AI/ML (nice to have, not mandatory) What Success Looks Like Clients trust you as a credible AI practitioner, not just a project manager AI solutions move from POC to production, delivering measurable business value Teams ship robust, scalable agentic systems, not demos You help shape the firm’s AI consulting offerings and delivery standards Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks come with an inherent risk to the organization and therefore it is expected that every person working for or on behalf of Mastercard is responsible for information security and must: abides by Mastercard’s security policies and practices; ensure the confidentiality and integrity of the information being accessed; report any suspected information security violation or breach; and complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. #J-18808-Ljbffr

Position: Data Analyst / Scientist Responsibilities • Develop, train and optimize machine learning models for classification, regression, forecasting, clustering, NLP and deep learning use cases. • Build AI‑driven solutions such as recommendation engines, anomaly detection systems, predictive scoring models and generative AI applications. • Perform end‑to‑end data science workflows including data acquisition, cleaning, feature engineering, model selection, validation and deployment. • Collaborate with data engineers to design scalable data pipelines and ensure high‑quality data availability for modelling. • Implement MLOps practices such as model versioning, monitoring, retraining and performance tracking. • Conduct statistical analysis, experiment design and A/B testing to validate model effectiveness and business impact. • Work with cloud platforms (Azure, AWS or GCP) to train, deploy and operationalize ML models. • Communicate insights, model results and recommendations to technical and non‑technical stakeholders through dashboards, reports and presentations. • Integrate models into business applications using APIs, cloud services or automation frameworks. • Stay updated on emerging AI & ML technologies, LLMs and best practices to continuously improve modeling approaches. Qualifications • Strong proficiency in Python and ML libraries such as Pandas, Num Py, Scikit‑learn, Tensor Flow, or PyTorch. • Solid understanding of machine learning algorithms, statistical modeling, and model evaluation techniques. • Experience with SQL and working with relational databases. • Familiarity with cloud ML platforms such as Azure ML, AWS Sage Maker, or Google Vertex AI. • Knowledge of MLOps tools and practices including MLflow, Kubeflow, or CI/CD pipelines. • Experience working with large datasets and distributed computing frameworks such as Spark or Databricks. • Strong data visualization and communication skills using Power BI, Tableau, or Python visualization libraries. • Understanding of NLP, deep learning architectures and generative AI concepts. • Ability to translate business problems into analytical solutions and measurable KPIs. • Certification: Microsoft PL‑300: Power BI Data Analyst Certification. Any Cloud Certificate. #J-18808-Ljbffr

We are looking for an Applied AI Engineer, with a background in building and maintaining production ML systems, to join our team. You will have a unique opportunity to work on cutting-edge AI projects, collaborate with experienced AI/ML engineers, and make a real impact on the world. Responsibilities Building and maintaining robust production ML systems. Ensuring systems are reliable, scalable, and capable of handling real-time data processing and inference. Utilising AWS SageMaker for model deployment, and monitoring while leveraging AWS services to create scalable and cost-effective ML solutions. Applying solid software engineering principles in the development and maintenance of ML systems and writing clean, maintainable, and efficient code. Developing and deploying models using ML frameworks such as Huggingface, PyTorch, TensorFlow, and scikit-learn, ensuring models are well-integrated into the production environment Working closely with data scientists, software engineers, and other stakeholders to implement and optimise ML models You are An experienced professional with a continuous learning mindset and the ability to stay up to date with the latest advancements in AI, machine learning, and software engineering technologies. You have a proven track record of deploying and optimising machine learning models in production environments. Minimum Job Qualifications Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field. A master’s degree or equivalent experience is preferred A minimum of 3-5 years of professional experience in applied AI engineering, machine learning, or a related field Strong background in building and maintaining production ML systems. Proficiency in Python and familiarity with ML frameworks: Huggingface, PyTorch, TensorFlow, and scikit-learn Solid understanding of AWS SageMaker and other AWS services related to machine learning Strong foundation in software engineering, including experience with coding, testing, and version control Experience in optimising latency and throughput of machine learning systems and GPU workloads Excellent problem-solving skills and attention to detail Ability to work in a collaborative, fast-paced environment Strong written and verbal communication skills Desired Extras Knowledge of retrieval-augmented generation (RAG) techniques Rust programming knowledge #J-18808-Ljbffr

Job Description: About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. Get to Know our Team: The Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda has deep experience in data science, product, strategy, and other marketing fields and has built an organization that thrives on data, creative ideas, and technology. The Performance Marketing Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world. Due to continued expansion, there are multiple analyst roles within the marketing team across different marketing channels. While the scope will vary depending on these channels, here are some examples: • Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, Tripadvisor, Trivago, and other search engines. Adapt to new product features and roll out changes from successful tests. • Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (e.g. understanding the impact on bookings from large-scale TV campaigns or demand elasticity from pricing optimization), and liaise with product teams on an implementation roadmap • Reporting, analysis, and insights: Building dashboards to track performance, derive insights, understand growth levers, and communicate recommendations via presentations to stakeholders What you’ll Need to Succeed: • Bachelor’s degree or higher from top university in a quantitative subject e.g. computer science, mathematics, engineering business, science, or relevant field of study • 0 to 4 years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business role for a fast-growing global tech company • Experience in one or more data analysis packages or databases, e.g. SQL, SAS, R, SPSS, Python, VBA and visualization tools, e.g. Tableau, Power BI, etc. • Excellent verbal and written communication skills in English • Ability to move fast and be efficient, making decisions on objective data evidence • Innate desire to take ownership, make an impact and influence outcomes • Excellent organizational skills, attention to detail and ability to work independently It’s Great if you Have: • Experience in digital marketing or e-commerce • Experience with A/B testing and other testing metrics • Strong presentation and negotiation skills #STRA#ANLS#MRKT#3 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #baku #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works. Discover More About Working At Agoda • Agoda Careers https://careersatagoda.com • Facebook https://www.facebook.com/agodacareers/ • LinkedIn https://www.linkedin.com/company/agoda • YouTube https://www.youtube.com/agodalife Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee. Requirements:

PulseMediaNL is seeking a detail‑oriented and analytical AI Data Analyst to join our remote team. This role is essential for transforming data into actionable insights, supporting AI‑driven initiatives, and helping optimize business decisions through advanced analytics and data modeling. Responsibilities Data Analysis & Insights Collect, clean, and analyze large datasets to identify trends and patterns Translate complex data into clear, actionable insights for stakeholders Develop reports and dashboards to track key performance indicators Support data‑driven decision‑making across departments AI & Model Support Assist in the development, evaluation, and optimization of AI and machine learning models Prepare and preprocess data for training and validation purposes Monitor model performance and suggest improvements Collaborate with data scientists and engineers on AI initiatives Data Management & Quality Maintain data integrity and ensure accuracy across data sources Develop and enforce data quality standards and validation processes Manage structured and unstructured data from multiple systems Document data processes and workflows Visualization & Reporting Create visualizations to effectively communicate findings Use BI tools to present insights in an accessible and engaging way Prepare regular reports and presentations for internal teams Support ad hoc analysis requests Process Improvement & Collaboration Identify opportunities to improve data collection and analysis processes Work cross‑functionally with marketing, operations, and product teams Support automation of data workflows and reporting systems Stay updated on industry trends in data analytics and AI Requirements About the Ideal Candidate: 2–4 years of experience in data analysis, business intelligence, or a related role Strong analytical and problem‑solving skills Proficiency in data analysis tools such as SQL, Python, or R Experience with data visualization tools (e.g., Power BI, Tableau) Familiarity with machine learning concepts and AI workflows Strong attention to detail and data accuracy Ability to communicate technical findings to non‑technical stakeholders Comfortable working in a remote environment and managing multiple priorities Bachelor’s degree in Data Science, Statistics, Computer Science, or related field preferred What We Offer Meaningful contribution through data-driven insights and AI innovation Remote‑first flexibility to support work‑life balance Opportunities for learning and advancement in data and AI fields Collaborative and forward‑thinking team environment Competitive compensation aligned with experience Long‑term stability within a growing and technology‑focused organization Diversity & Inclusion We are committed to fostering a diverse, equitable, and inclusive workplace where everyone feels valued, respected, and empowered to contribute. All qualified applicants are encouraged to apply. #J-18808-Ljbffr