Data Instructor Jobs

Qui sommes-nous ? Fondée en 2014, Artefact est une société française de services autour de la data, spécialisée dans le conseil en IA, transformation data et en data & digital marketing. L’approche unique d’Artefact, qui fait le pont entre la donnée et le business, permet à nos clients d’atteindre leurs objectifs business de façon dédiée et efficace. Nos 2500 collaborateurs répartis dans 27 bureaux à travers le monde allient leurs compétences pluridisciplinaires au profit de l’innovation business des entreprises. La mission des Artefactors ? Transformer la data de nos clients en impact business. Dans ce sens, nous collaborons avec plus de 1000 clients, leaders de leurs industries (Orange, Carrefour, Samsung, AccorHotels, L’Oréal, LVMH, Decathlon) et sommes partenaires privilégiés de Google (GMP/GCP), AWS ainsi que Microsoft Azure. En tant que stagiaire Data Scientist, tu seras responsable de : La réalisation de projets de données (sécurisation de la livraison de vos projets) La communication de ton travail et réalisations au sein de l’équipe Travailler en étroite collaboration avec ton homologue conseil pour établir et entretenir des relations solides avec vos clients et mieux comprendre leurs besoins S’assurer que tes solutions apportent des valeurs à la problématique client Rechercher et développer de nouvelles approches techniques pour résoudre efficacement les problèmes Partager les bonnes pratiques et contribuer aux connaissances institutionnelles d’Artefact Tu es ? Tu es étudiant(e) en dernière année de cycle ingénieur, Master 2, ou équivalent, avec une spécialisation en Data Science, Intelligence Artificielle, Mathématiques appliquées, Statistiques ou Informatique. Tu es à la recherche d'un stage de fin d'études de 6 mois à partir de janvier 2027 . Tu possèdes une bonne compréhension de l'écosystème numérique et data et de ses technologies : web analytique, programmatique, DMP,

Shape the Future of Financial Services with Capco At Capco, we specialize in management consulting and software development, partnering with leading international banks and insurance companies across Western Europe. Our innovative approach and collaborative culture make us the ideal place for professionals looking to make an impact in financial services technology. Want to learn more about our culture and people? Visit us: Capco Careers Slovakia Why Join Us? Prestigious Clients & Exciting Projects – Work with top-tier banks on transformation projects that redefine financial services. Continuous Learning & Development – Access to technical and soft skills training, professional certifications, and full access to the Udemy online learning platform. Flexible Work Environment – we provide flexibility to work remotely from the home office within Czech Republic Attractive Benefits Package: ✅ Paid sick days ✅ 25 vacation days (regardless of age) ✅ Monthly cafeteria allowance (1.285 CZK/month) or contribution to the 3rd pillar ✅ Fully paid meal vouchers ✅ Multisport card with employer contribution ✅ Smartphone with 1TB data + Laptop Well-being & Community Engagement – Join yoga lessons, mental health webinars, running challenges, sports activities, or participate in our volunteering days. Competitive Compensation (adjusted based on experience) + annual bonus & benefits package. Long-term career – Indefinite period contract with opportunities for career growth. Role Description Be part of the Data Team, designing data solutions for insurers and reinsurers Design data models and data transformations as part of the redesign and migration of insurance business solutions Develop data solutions such as data hubs, data lakes, reporting platforms, and data warehouses Analyze business requirements and derive solution approaches and concepts for data solutions Assume subject-matter and project responsibility for our clients Serve as

Shape the Future of Financial Services with Capco At Capco, we specialize in management consulting and software development, partnering with leading international banks and insurance companies across Western Europe. Our innovative approach and collaborative culture make us the ideal place for professionals looking to make an impact in financial services technology. Want to learn more about our culture and people? Visit us: Capco Careers Slovakia Why Join Us? Prestigious Clients & Exciting Projects – Work with top-tier banks on transformation projects that redefine financial services. Continuous Learning & Development – Access to technical and soft skills training, professional certifications, and full access to the Udemy online learning platform. Flexible Work Environment – we provide flexibility to work remotely from the home office within Czech Republic Attractive Benefits Package: ✅ Paid sick days ✅ 25 vacation days (regardless of age) ✅ Monthly cafeteria allowance (1.285 CZK/month) or contribution to the 3rd pillar ✅ Fully paid meal vouchers ✅ Multisport card with employer contribution ✅ Smartphone with 1TB data + Laptop Well-being & Community Engagement – Join yoga lessons, mental health webinars, running challenges, sports activities, or participate in our volunteering days. Competitive Compensation (adjusted based on experience) + annual bonus & benefits package. Long-term career – Indefinite period contract with opportunities for career growth. Role Description Be part of the Data Team, designing data solutions for insurers and reinsurers Design data models and data transformations as part of the redesign and migration of insurance business solutions Develop data solutions such as data hubs, data lakes, reporting platforms, and data warehouses Analyze business requirements and derive solution approaches and concepts for data solutions Assume subject-matter and project responsibility for our clients Serve as the p

Shape the Future of Financial Services with Capco At Capco, we specialize in management consulting and software development, partnering with leading international banks and insurance companies across Western Europe. Our innovative approach and collaborative culture make us the ideal place for professionals looking to make an impact in financial services technology. Want to learn more about our culture and people? Visit us: Capco Careers Slovakia Why Join Us? Prestigious Clients & Exciting Projects – Work with top-tier banks on transformation projects that redefine financial services. Continuous Learning & Development – Access to technical and soft skills training, professional certifications, and full access to the Udemy online learning platform. Flexible Work Environment – we provide flexibility to work remotely from the home office Attractive Benefits Package: ✅ Private health care & paid sick days ✅ 25 vacation days (regardless of age) ✅ Monthly cafeteria allowance (€50/month) or contribution to the 3rd pillar ✅ Fully paid meal vouchers ✅ Multisport card with employer contribution ✅ Smartphone with 1TB data + Laptop Well-being & Community Engagement – Join yoga lessons, mental health webinars, running challenges, sports activities, or participate in our volunteering days. Long-term career – Permanent employment contract with opportunities for career growth. The minimum gross monthly base salary for this position is from € 2,500 . The final offer could be higher to reflect the candidate’s experience, skills, and overall fit for the role. Additionally, this position may also be eligible to receive a discretionary/variable bonus payment. Capco is committed to providing fair and equitable compensation to our people. Our compensation policies are designed to allow our people to progress through our defined salary range over time as they progress in their role. Role Description Be part of the Data Team, designing data solutions

Shape the Future of Financial Services with Capco At Capco, we specialize in management consulting and software development, partnering with leading international banks and insurance companies across Western Europe. Our innovative approach and collaborative culture make us the ideal place for professionals looking to make an impact in financial services technology. Want to learn more about our culture and people? Visit us: Capco Careers Slovakia Why Join Us? Prestigious Clients & Exciting Projects – Work with top-tier banks on transformation projects that redefine financial services. Continuous Learning & Development – Access to technical and soft skills training, professional certifications, and full access to the Udemy online learning platform. Flexible Work Environment – Work from our modern Bratislava office (Nivy Tower) or remotely from home. Attractive Benefits Package: ✅ Private health care & paid sick days ✅ 25 vacation days (regardless of age) ✅ Monthly cafeteria allowance (€50/month) or contribution to the 3rd pillar ✅ Fully paid meal vouchers ✅ Multisport card with employer contribution ✅ Smartphone with 1TB data + Laptop ✅ Relaxing office environment: Fresh fruit, game room (PS4, table football), pet-friendly space Well-being & Community Engagement – Join yoga lessons, mental health webinars, running challenges, sports activities, or participate in our volunteering days. Long-term career – Permanent employment contract with opportunities for career growth. The minimum gross monthly base salary for this position is from € 2,500 . The final offer could be higher to reflect the candidate’s experience, skills, and overall fit for the role. Additionally, this position may also be eligible to receive a discretionary/variable bonus payment. Capco is committed to providing fair and equitable compensation to our people. Our compensation policies are designed to allow our people to progress through our defined salary range over time as t

Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent. Role Summary As a Data Architect , you will lead the architecture and data design work, working closely with Data Engineers, Business Analysts, BI teams, and client technology and business stakeholder in the Data Lake/Lakehouse implementation project. What You’ll Do Designing the target Lakehouse architecture and end-to-end data flows. Defining data models, canonical structures and reusable data-product patterns . Designing scalable and reusable batch, CDC and streaming ingestion patterns . Establishing data architecture standards covering data quality, reconciliation, lineage, governance, security and access . Assessing and aligning the solution with existing enterprise and regional architecture standards. Supporting source-to-target mapping, data migration and integration design. Providing technical leadership and guidance to Data Engineering teams throughout implementation. Supporting solution design reviews, testing, production readiness and BAU handover. What We’re Looking For 6+ years of experience in data architecture, data engineering, or related roles. Strong expertise in Azure, Databricks, Delta Lake, data modelling, data architecture, data integration/ETL, data governance and cloud architecture. Experience designing enterprise data platforms and data products, particula

Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent. Role Summary As a Data Engineer (Intermediate/Senior) , you will work closely with Data Architects, Business Analysts, BI developers, and client technology teams to design and implement reusable data ingestion and transformation pipelines in Data Lake/Lakehouse implementation programme What You’ll Do Developing batch, CDC and/or streaming data ingestion pipelines from multiple source systems. Implementing Bronze, Silver and Gold data layers , including data cleansing, transformation and standardisation. Developing reusable data pipelines and supporting data product implementation. Implementing data quality, reconciliation, validation and monitoring controls. Supporting data migration, integration testing, UAT and production release. Working with the architecture team to ensure solutions follow agreed cloud, security, governance and engineering standards . Supporting knowledge transfer and BAU handover. What We’re Looking For 4+ years of experience in data engineering or related roles. Strong experience in Databricks, Azure, SQL, Python/PySpark, ETL/ELT, Delta Lake, data modelling, data quality and CI/CD. Experience in financial services especially asset management or large-scale data transformation, would be advantageous. Experience in workong on an end-to-end enterprise da

SOBRE A CAPCO A Capco é uma consultoria global de tecnologia e negócios, focada no setor de serviços financeiros e energia, somos apaixonados por ajudar nossos clientes, temos 40 escritórios nas Américas, Europa e Ásia-Pacífico! Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira! Buscamos uma pessoa Data Analyst com forte capacidade analítica e visão de negócio, confortável em trabalhar com dados para além da criação de relatórios e extrações SQL. Essa pessoa será responsável por avaliar a qualidade dos dados, desenvolver indicadores, estruturar frameworks de medição e transformar objetivos de negócio em resultados mensuráveis. A função atuará em parceria com stakeholders, equipes de produto, tecnologia e dados para gerar insights e apoiar decisões estratégicas. Principais responsabilidades Explorar, analisar e interpretar dados provenientes de diferentes fontes. Avaliar a qualidade, integridade, completude, consistência e atualidade dos dados. Identificar anomalias, lacunas e problemas que possam comprometer análises ou decisões. Desenvolver KPIs, métricas e frameworks de medição alinhados aos objetivos de negócio. Traduzir metas e necessidades de negócio em indicadores claros e mensuráveis. Definir critérios, regras e estratégias para identificação, análise e tratamento de registros duplicados. Validar regras de consolidação, correspondência e priorização de registros. Criar relatórios, dashboards e análises que apoiem decisões operacionais e estratégicas. Monitorar tendências, padrões de comportamento e variações relevantes nos dados. Medir a adoção de produtos, plataformas, funcionalidades e novos processos. Avaliar o valor gerado por iniciativas por meio de métricas de impacto, eficiência e resultados. Estabelecer baselines, metas e mecanismos de acompanhamento de desempenho. Comunicar descobertas e recomendações de forma clara para públicos técnicos e não técnicos. Document

About Appier Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the role Appier's Ad Cloud handles millions of bid requests per second, and that number keeps climbing. Behind every request is a chain of decisions: how much to bid, what to recommend, which creative to show, how fast the system responds. Each one is a lever on campaign performance, and at this scale a 1% improvement is enormous. Your job is to find those levers in the data. You will turn campaign, auction, and user-behavior data into insights about where the next performance gain is, prove it with rigorous A/B testing, and drive the change across the organization. This is not a back-office role. You will work hand-in-hand with ML scientists, engineers, product managers, and the operations team, and you are expected to set the agenda with data and push until the improvement shows up in live campaigns. AI now handles much of the mechanics: writing queries, drafting code, producing charts. What it does not do is decide which question is worth asking, notice that a number does not add up, or keep digging when the first explanation is too convenient. That is the job. We are looking for someone who is relentlessly curious about why , and who cannot leave an unexplained anomaly alone. What You Will Do Find where performance comes from. Mine campaign, bidding, and user data to identify the highest-leverage opportunities to improve online campaign performance, and turn them into testable hypotheses. Get to the root cause. When performance shifts or metrics contradict each other, dig until you understand the

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Senior Optimization Data Analyst We are looking for a Senior Optimization Data Analyst to take a defining role in how Adyen drives payment performance for its most complex merchants. As a senior member of the Performance Optimization team, you will bring the full breadth of payment optimization expertise expected at this level, across authentication, authorization, and cost, while going deeper in risk, fraud, and ML-driven decisioning than any other role on the team. You will combine hands-on technical capability with recognized domain expertise in risk to lead the team's most complex merchant engagements, shape PO's analytical methodology, and accelerate the adoption of Adyen's optimization capabilities across the merchant portfolio. This role sits at the intersection of technical depth and commercial impact. You will work directly with large-scale transactional data, including ML output and labeled risk data, to generate comprehensive insights that connect to merchant strategy. You will do this in close collaboration with Adyen's product teams, through insights and feedback that drive product improvements, and an analytical layer that makes risk model behavior more interpretable and actionable for merchants and internal teams alike. You will build the frameworks, tools, and knowledge that allow the broader PO team and commercial s

#TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com . Meet Your Future Neighbors As a Data Scientist at Nextdoor, you will help design and oversee product experiments and own complex analyses to drive company and product strategy. We use a semi-embedded team structure, in which a group of data team members works on a specific product or pillar, interfacing directly with product and engineering stakeholders. The Data Science group consists of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as economics, physics, statistics, and operations research. We are an integral part of the product development organization and play an active and collaborative role in building and improving the product. At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You'll Make We are looking for a Staff Data Scientist to accelerate execution on priority content investments and elevate the quality of product decision-making.

About Prodigal Prodigal is the connected AI platform leading financial institutions use to run their operations. We work with banks, lenders, credit unions, and other financial companies that lend money to people and manage those relationships over time. These institutions make millions of high-stakes decisions every day. Who should they reach? When should they reach them? What should they say or offer? When should a case move to a human? How should that change based on the borrower, the account, previous interactions, and the regulations involved? Getting those decisions right requires a deep understanding of the people, processes, rules, and edge cases behind them. Prodigal has spent the last eight years building that understanding. More than a billion interactions between financial institutions and their customers have shaped the intelligence, guardrails, and AI agents we now run in production across North America. Today, our AI agents analyze conversations, capture context, guide human agents, decide the next action, conduct customer conversations, orchestrate outreach, and help people complete payments and resolutions. They are connected, so what is learned in one interaction can inform what happens next. We are expanding this swarm of AI agents across more of the work financial institutions do: originations, document processing, back-office workflows, servicing, and other critical operations where money, identity, people, and regulation intersect. We are backed by Y Combinator, Accel, and Menlo Ventures, and work with 100+ financial institutions across North America. Listen directly from our CTO, Cofounder - Sangram Raje About the role - We are looking for a passionate and driven Data Engineer to join our team. You will be instrumental in building scalable data pipelines, generating powerful insights, and supporting our AI/ML initiatives. If you enjoy working across data engineering and analytics and want to help shape the future of Agentic AI, we'

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We’re hiring a Data Scientist to help build and scale our internal analytics capabilities. This is a foundational role where you’ll create dashboards, models and insights to power business and product teams alike. You’ll collect requirements, define key metrics, and deliver recommendations directly to stakeholders. You'll define what success looks like across a technical, usage-based platform and turn ambiguous questions into analyses, forecasts, and experiments that shape Baseten’s product and strategy. RESPONSIBILITIES Build and maintain production-grade models and dashboards across multiple functions with a focus on accuracy, simplicity and user experience. Define and instrument core metrics around capacity, availability, ROI, product adoption, revenue and costs. Ingest and transform raw data using tools like dbt, Airbyte, and Databricks. Partner with Engineering, Finance, Marketing, and Sales teams to understand goals and translate them into data solutions Analyze product, operational and commercial data to identify opportunities, quantify tradeoffs, and influence product and GTM priorities. Present findings and recommendations to technical and nontechnical audiences, including company leaders. REQUIREMENTS 5+ years of experience in analytics, BI, or data engineering roles Strong SQL skills with the ability to write complex queries for data transformation and analysis Experience designing medallion data arch

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We’re hiring a Data Scientist to help build and scale our internal analytics capabilities. This is a foundational role where you’ll create dashboards, models and insights to power business and product teams alike. You’ll collect requirements, define key metrics, and deliver recommendations directly to stakeholders. You'll define what success looks like across a technical, usage-based platform and turn ambiguous questions into analyses, forecasts, and experiments that shape Baseten’s product and strategy. RESPONSIBILITIES Build and maintain production-grade models and dashboards across multiple functions with a focus on accuracy, simplicity and user experience. Define and instrument core metrics around capacity, availability, ROI, product adoption, revenue and costs. Ingest and transform raw data using tools like dbt, Airbyte, and Databricks. Partner with Engineering, Finance, Marketing, and Sales teams to understand goals and translate them into data solutions Analyze product, operational and commercial data to identify opportunities, quantify tradeoffs, and influence product and GTM priorities. Present findings and recommendations to technical and nontechnical audiences, including company leaders. REQUIREMENTS 5+ years of experience in analytics, BI, or data engineering roles Strong SQL skills with the ability to write complex queries for data transformation and analysis Experience designing medallion data arch

Scale's Data Analytics team is centralized, embedding data analysts across delivery, operations, finance, and engineering to turn ambiguous problems into clear, actionable insights. As a Senior Data Analyst for Public Sector, you'll build analytics solutions from the ground up - partnering closely with cross-functional teams and leadership to solve complex problems, design dashboards, build tables, and perform ad-hoc analyses that shape how Scale runs and measures its Public Sector business. We're looking for someone who's relentlessly curious, comfortable owning ambiguity, and skilled at turning cross-functional relationships into sustainable, scalable analytics solutions. Active Secret U.S. security clearance required You will: Own data quality for your domain - document models, troubleshoot discrepancies, and establish centralized metric definitions Collaborate with cross-functional teams to identify, define, and track key metrics to be used in monitoring, planning, and one-off decision-making Develop repeatable, scalable analytical solutions, such as dashboards, data models, or standard processes Partner with Ops to identify and track efficiency initiatives, measuring their impact on cost, quality, and delivery outcomes over time Partner with Finance to analyze cost drivers across programs and help inform pricing strategy Be willing to deepdive when needed and dig into the messy details to get to the root of a problem Initiate and drive complex projects to completion with minimal guidance Ideally you'd have: 6+ years of relevant work experience Advanced SQL skills and experience building with data modeling tools (e.g. DBT) Experience building dashboards and reports with BI tools (e.g. Tableau, Metabase) Strong business acumen - comfortable partnering directly with cross-functional stakeholders Excellent communication skills - able to translate technical analysis into clear, actionable narratives Comfort with ambiguity in a fast-moving environment and able