About the Job Do you get excited when a messy, ambiguous business problem finally yields to the right model? Do you think in systems, speak fluently across the technical-business divide, and want your work to do more than sit in a notebook — you want it to actually ship, scale, and matter? With over 2,000 employees, 36 offices on five continents, and world-class clients like Samsung, L'Oréal, and Mattel, Artefact is a consulting firm that transforms data into measurable value and business impact. We've launched in the US with offices in NYC and Los Angeles — and we're looking for a Senior Data Scientist to help define what world-class data science looks like on our founding team. Who We Are Founded and headquartered in Paris, Artefact is a next-generation consulting firm specializing in data, analytics, and AI consulting — dedicated to transforming data into business impact across the entire value chain of organizations. We don't just advise; we build, implement, and deliver results our clients can measure. We have 2,000 employees across 36 offices focused on accelerating digital transformation for some of the world's most recognizable brands. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of elite business consultants, data analysts, data scientists, data engineers, and digital experts are all laser-focused on delivering real value to every client. We design data-driven solutions tailored to each client's specific needs — always conceived with a business-first mindset and delivered with tangible, measurable results. Our expertise is built on deep AI knowledge acquired through 1,000+ client engagements across the globe. Find out more at artefact.com. What You Will Be Doing As a Senior Data Scientist, you'll be the technical engine behind some of our most complex and consequential client engagements. You'll move fluidly between data exploration, model development, and executive communication — bringing scientific rigor to busi
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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. Implementation Engineer As an Implementation Engineer at Adyen, you will help global businesses design, build, and launch scalable payment integrations that power how they operate and grow. You’ll work closely with merchants to translate their business needs into reliable, scalable payment solutions that support their expansion across markets, channels, and products. This position is based in Mexico City, and the ideal candidate is both consultative and technical. We are looking for technical consultants with a solid foundation in APIs and web technologies who are ready to take responsibility for real customer projects early in their careers. You will take responsibility for integrations end-to-end while continuing to grow your technical depth and client-facing skills in a fast-moving, collaborative environment. This role is also a great fit for people transitioning from technical support, consulting, QA, or client-facing roles into a more technical, high-impact, autonomous path. What you’ll do: Guide end-to-end implementation projects, supporting merchants as they launch and scale their payment integrations. Design and help merchants build scalable API-based integration solutions from solution design through to go-live. Act as a trusted technical partner during the integration journey, helping merchants navigate technical and opera
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Global Facilities U.S. Engineering & Construction leads the planning, design and delivery of Micron’s U.S. region projects—setting the bar for how we build, standardize, and scale world‑class facilities. We are a small, fast‑growing, cross‑disciplinary team that owns critical standards and execution practices to keep complex programs moving with quality and speed. As a Structural Engineer within Global Facilities (U.S. Region), you will own and lead structural engineering scope across concept development, programming, detailed design, and construction support for advanced semiconductor manufacturing facilities. This role is accountable for structural system performance, seismic resilience, vibration control, and constructability, ensuring facilities meet Micron’s stringent operational, reliability, and contamination‑control requirements. You will act as a technical authority and integrator, partnering closely with Civil, Architectural, MEP, Process Engineering, design consultants, and construction teams across multiple U.S. sites. Responsibilities Lead structural design and construction support for advanced semiconductor manufacturing, cleanroom, and support facilities across U.S. sites, ensuring alignment with stringent operational, seismic, and contamination control requirements. Develop and review structural systems including foundations, slabs‑on‑grade, superstructures, steel and concrete framing, and equipment support structures for vibration‑sensitive cleanroom environments. Per
Who/What is Artefact? Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact. With 2,000+ consultants, data scientists, and engineers across 26 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. At our German offices, we are on a rapid growth trajectory, advising leading national and international clients cross-industry on how to unlock the full potential of their data, build scalable data architectures, and implement cutting-edge AI solutions. As a Consulting Manager (m/f/d) Data & AI Strategy , you will act as a trusted sparring partner to executives, steer complex transformation programs across functions, and drive organizational change at scale. Main Responsibilities Lead AI Transformation Programs: Steer end-to-end execution of enterprise-level AI transformations. Identify internal champions, navigate corporate politics, manage structural blockers, and drive measurable user adoption and organizational change. Strategy & AI Use Case Scoping: Work closely with C-level stakeholders to answer high-stakes questions: How can AI reshape their business models? How should they govern data? You don't just advise; you help evaluate model choices, discuss data privacy trade-offs, and conceptualize technical feasibility. Drive Business Growth: Actively drive the growth of our German practice. Take ownership in lead generation and pipeline conversion by engaging prospective clients, shaping proposals, and leading pre-sales and key-account expansion initiatives. Thought Leadership & Advocacy: Represent Artefact's AI Transformation perspective externally. Advance our voice in enterprise AI through expert discussions, content creation (e.g. LinkedIn, whitepapers), and opinionated, hands-on perspectiv
Who we are Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe. We have 1000 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client. Key responsibilities As a Data Scientist Intern, your role will encompass: Conducting ambitious projects in the transformation of clients through data Collaborating with the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their marketing department Among your responsibilities as a Data Scientist Intern, you will be responsible for: Performing data projects Securing delivery on your projects Communicating your work and achievements among the team Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs Ensuring that your solutions are bringing values to the client problematic Being a good team player, knowing your role and responsibility in the global ambition Being a great tech person Demonstrati
Senior Data Engineer Who we are Artefact is a new generation of data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe. We have over 2000 employees across 26 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client. Job Summary We are looking for a Senior Data Engineer to join our dynamic team. This role is ideal for someone with a deep understanding of data engineering and a proven track record of leading data projects in a fast-paced environment. Key Responsibilities Design, build, and maintain scalable and robust data pipelines using SQL and Python, and leveraging any of the following: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark. Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms. Implement continuous integration and continuous deployment (CI/CD) practices for data pipelines to improve efficiency and quality of data processing. Work closely with data architects, analysts, and other stakeholders to understand business requirements and translate them into technical implementations. Oversee and manage a team of data engineers, prov
Who is Artefact? Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact. With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. Our Romandie office (Geneva/Lausanne) is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design. What you will be doing? We are looking for a Senior AI Engineer / Technical Consultant to bridge the gap between high-level strategy and technical execution. You will act as a "builder first, consultant second," designing and deploying AI/ML solutions that solve complex business problems for global clients. This role involves end-to-end technical leadership, from initial rapid prototyping (PoCs) to scaling production-ready systems. Key Responsibilities Solution Engineering: Design, implement, and deploy pragmatic AI solutions (ML, LLMs, Generative AI) tailored to specific client business needs. Technical Consulting: Act as a technical advisor to client stakeholders, translating business requirements into scalable technical architectures and guiding them on AI best practices. Prototyping & Production: Build and test Proof of Concepts (PoCs) and transition them into production-ready environments, ensuring security, performance, and maintainability. Architecture & Infrastructure: Design robust AI infrastructure using cloud-native services (AWS, Azure, or GCP) and modern data pipelines. Collaboration: Work within cross-functional teams (Data Scientists, Project Managers, and Strategy Consultants) to ensure the technical feasibility of AI initiatives. Mentorship: Lead project workstreams and
Senior Python / Agentic AI Engineer Capco: Where Innovation Meets Opportunity Capco is a global leader in consulting, uniquely positioned to drive innovation and transformation in the financial services industry. More than consultants, we are strategic partners and problem solvers for some of the largest organizations in Banking, Insurance, Investment Management, Data/Digital Transformation, Regulatory Compliance, and ICT Risk. Our business and technology professionals thrive in a dynamic environment where creativity, collaboration, and cutting-edge solutions are at the heart of everything we do. Experience the Capco difference and explore how you can shape your future with us at capco.com . Capco’s AI Lab The AI Lab is a cross-disciplinary research and engineering centre that translates advanced AI research into robust, deployable solutions for clients and internal products. It runs applied research (ML and agentic/LLM systems, planning, simulation and evaluation), rapid prototyping and production engineering (APIs, CI/CD, observability, data platforms and cost/latency optimisation), and rigorous evaluation and safety work (benchmarks, red-teaming, monitoring, governance and compliance). The lab also supports client engagements and internal innovation by building demonstrators and reference architectures, transferring technology to delivery teams, publishing technical learnings, and maintaining the shared infrastructure, tooling and best practices that enable reproducible, secure and scalable AI deployment. Responsibilities Design and implement scalable, production-grade Python services that leverage LLMs and Agentic architectures. Design and implement robust agent workflows and orchestration patterns to automate complex business processes in regulated enterprise environments. Build and maintain reliable AI-enabled backend systems , including orchestration layers, tool integrations, knowledge a
Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role As a Historical Data Conversion Project Manager, you will serve as the essential link between our technical Data Solution Consultants (DSCs) and the client’s business stakeholders. While DSCs focus on the technical execution of data migration and complex analysis, your role is to translate that work into a clear narrative for the client while relaying client requirements back to the internal team. You will leverage a strong understanding of HDC processes, investment data, and technical frameworks to comfortably bridge the gap between technical execution and client expectations. By working side-by-side with the DSCs to identify data remediation strategies, you will translate technical requirements into actionable directives for the client and proactively secure necessary inputs. This role is for a subject matter expert who can navigate technical language and investment complexities to drive project progress and maintain high-impact communication regarding status, gaps, and timelines. You’ll also be among the first members of the Data Solutions team based in India, helping establish our presence in the region while working closely with colleagues across the U.S., U.K., and other global offices. This is a collaborative role offering the
As a Solution Architect, you apply your advanced knowledge of the OMP Solution with your industry experience and supply chain insights to design high-quality supply chain solutions for our customers. You are responsible for: Developing an integrated planning cycle across our OMP supply chain modules. Conducting design sessions with our customers to understand their planning challenges and contribute to their solution. Driving the technical realization of our projects from start to finish, ensuring a high-quality implementation of our solution, together with our project team and the customer’s project team. Gathering new ideas from your implementation projects to support future product development. Guiding, inspiring, challenging and supporting a group of OMP (lead) consultants during the various process phases. Effectively communicating technical & functional design to a variety of stakeholders (business, tech, management, OMP colleagues, ...). Essential talents and qualifications: Strong analytical skills, complemented with a Master’s degree in a relevant domain (ICT, Supply Chain, Industrial/Business/Civil Engineering, ...). More than 7 years’ experience in implementing supply chain planning software such as OMP, Kinaxis, Blue Yonder, O9, SAP IBP. 3+ years’ experience in designing advanced planning solutions. Broad technical knowledge of solution configuration: coding, cloud, data integration, mathematical optimization. Problem-solving skills: combine analytical thinking, creativity, critical reasoning, and the ability to distill core issues. Continuous learning and adaptability attitude, drive for innovation to track emerging technologies. You’ll be visiting customers regularly up to 20% of y
Who we are Artefact is a leading global consulting firm dedicated to accelerating the adoption of data and AI. We work with a variety of businesses, from supermarket chains, to private equity firms and telecoms; including Nissan, L'Oréal, Carrefour, WHSmith, Orange, Beiersdorf, BNP Paribas, and Samsung. Our success stems from combining advanced data technologies, agile methods for quick delivery, and dedicated teams of data scientists, data engineers, business consultants, and data analysts. Our 1,800 employees operate in 25 countries (Americas, Europe, Asia, Middle East, India, Africa) and we partner with 1,000+ clients . What you will be doing As a Senior Data Scientist in our London office , your role will encompass: Designing and implementing advanced data science and machine learning solutions to solve complex business problems. Taking ownership of project streams, from defining technical deliverables and timelines to presenting updates to client steering committees. Supervising and mentoring team members on code, deployment, and best practices. Architecting and deploying robust, scalable solutions using modern cloud technologies and MLOps principles. Qualifications Necessary education and experience Education : A Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field. Project & Team Leadership : Demonstrable experience supervising team members, taking responsibility for project delivery, defining technical tasks, and presenting project updates to both internal and client stakeholders. Advanced Modelling : Proven ability to implement a range of complex models such as time-series forecasting, gradient boosting, clustering, NLP, and Bayesian inference. ML-Ops & Orchestration : Strong experience with MLOps tools for orchestration, experiment tracking, hyper-parameter tuning, and deploying automated model retraining pipelines. Programming & Data Engineering : Proficiency in objec
Who we are Artefact is a new generation of data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe. We have over 1500 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client. Job Summary We are looking for a Senior Data Engineer to join our dynamic team. This role is ideal for someone with a deep understanding of data engineering and a proven track record of leading data projects in a fast-paced environment. Key Responsibilities Design, build, and maintain scalable and robust data pipelines using SQL, Python, Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark. Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms. Implement continuous integration and continuous deployment (CI/CD) practices for data pipelines to improve efficiency and quality of data processing. Work closely with data architects, analysts, and other stakeholders to understand business requirements and translate them into technical implementations. Oversee and manage a team of data engineers, providing guidance and mentorship to ensure high-quality project delive
Who are we? Artefact is a global leader in data and AI consulting, helping organizations transform data into measurable business impact. We combine deep expertise in data, artificial intelligence and digital transformation to solve complex business challenges and accelerate innovation. With 1,700+ experts across 25+ offices worldwide , Artefact supports leading international companies in designing and deploying cutting-edge data platforms, AI solutions and cloud architectures that create long-term value. At Artefact Casablanca , you'll join one of our fastest-growing hubs, working alongside highly skilled Data Engineers, Data Scientists, Analytics Consultants and Cloud Experts on ambitious international projects. Our culture is built around excellence, collaboration, continuous learning and entrepreneurship. If you are passionate about technology, leadership and delivering business impact through data, we'd love to meet you. Your Role As a Manager Data Engineering , you will play a strategic role in delivering large-scale Data & AI transformation programs while leading and growing high-performing engineering teams. You will combine technical expertise, people leadership and client engagement to build modern, scalable and cloud-native data platforms. Your Responsibilities Lead Data Engineering Projects Lead the design and delivery of modern cloud data platforms. Define scalable architectures aligned with business and technical requirements. Ensure engineering excellence, code quality, security and performance. Drive best practices across Data Engineering, DevOps and MLOps. Manage & Grow Teams Lead, mentor and coach a team of Data Engineers. Support consultants in their technical development and career progression. Foster a collaborative, high-performance and knowledge-sharing culture. Participate in recruitment, onboarding and capability building. Partner with Clients Act as a trusted advisor for clients throughout their data trans
Who we are ? Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe. We have 850 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client. Over the last few years, Data Science at Artefact Morocco has skyrocketed in terms of novel projects coupled with a growing diverse team. We tackle use cases that bring business value and serve different countries. Our area of expertise involves Applied Mathematics & Statistics for Machine Learning and Deep Learning, with a recently strong focus on Generative AI. Responsibilities : In addition to the core Data Science and ML Engineering Team, you will work with different stakeholders to: Qualify the feasibility of Use Cases, translating business challenges into technical formulations Define the business and statistical hypothesis, and build the solution followed by testing and validation For those Use Cases that are validated, you will help develop a production-ready solution. When consulted on a business challenge, you propose adequate AI or machine learning options to address this need. You act as an expert on the best algorithm to c
Spaulding Ridge is an advisory and IT implementation firm. We help global organizations get financial clarity into the complex, daily sales, and operational decisions that impact profitable revenue generations, efficient operational performance, and reliable financial management. At Spaulding Ridge, we believe all business is personal. Core to our values is our relationships with our clients, our business partners, our team, and the global community. Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation. What You Will Do We are looking for an Anaplan Solution Architect to join our Anaplan Delivery Team! The Anaplan Solution Architect will design best-in-class Anaplan solutions that meet the tailored needs of our clients. You will develop and cast the technical vision to internal model building consultants, and most importantly, to our clients, as we work to deliver the best possible solution to their challenges. Your design will account for data sources, integration layers, the underlying Anaplan model architecture, and the user interface, and you will have the opportunity to coach and train others along the way! Ideal candidates will be able to: Work as a Solutions Architect and lead the end-to-end design of an Anaplan Model Ability to run a project utilizing the Agile Implementation Methodology Clear ability to teach both clients and internal resources with no prior Anaplan knowledge how to build a model. Guide a customer to enhance their process utilizing both Anaplan expertise and Subject Matter Expertise. Ability to have difficult conversations with a customer about scope and timeline in order to ensure the project timeline is on track and budget Ability to effectively lead a team of consultants Qualifications: Degree in Finance, Accounting, Logistics, and/or Management Information Systems 7 years of experience in Consulting or Financial Reporting and
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