Principal Applied Scientist (Shopping)

Job Title D365 CRM - Cloud Solution Architect Job Description We're Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled. The global technology and services leader that powers the world’s best brands, today and into the future. We’re solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we’re the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent. The Concentrix Technical Products and Services team is the driving force behind Concentrix’s transformation, data, and technology services. We integrate world-class digital engineering, creativity, and a deep understanding of human behavior to find and unlock value through tech-powered and intelligence-fueled experiences. We combine human-centered design, powerful data, and strong tech to accelerate transformation at scale. You will be surrounded by the best in the world providing market leading technology and insights to modernize and simplify the customer experience. Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients. Hence achieving our vision. Our game-changers around the world have devoted their careers to ensuring every relationship is exceptional. And we’re proud to be recognized with awards such as "World's Best Workplaces," “Best Companies for Career Growth,” and “Best Company Culture,” year after year. Join us and be part of this journey towards greater opportunities and brighter futures. The CRM CSA (Cloud Solution Architect) within CSA Global Delivery plays a pivotal role in enabling customers to adopt and optimize Microsoft Dynamics 365 Customer Engagement (CRM) solutions. This is a customer-facing, consulting-oriented role that combines deep technical expertise with strategic advisory skills to deliver scalable, secure, and high-performing business applications across global engagements. Key Responsibilities Solution Architecture & Design Architect end-to-end Dynamics 365 CRM solutions, including Sales, Customer Service, Field Service, and Customer Insights. Design integrations with Power Platform (Power Apps, Power Automate) and external systems. Ensure adherence to best practices for performance, scalability, and security. Deployment & Optimization Lead CRM infrastructure installation, configuration, and cloud migration. Perform environment health assessments, performance tuning, and data recovery planning. Drive upgrades across CRM versions (CRM 2015+ to Dynamics 365 Online). Customer Engagement Act as a trusted advisor to technical decision-makers and business stakeholders. Conduct design workshops, proof-of-concepts, and technical training sessions. Align solutions with customer success plans and business outcomes. Governance & Lifecycle Management Implement Power Platform governance and Center of Excellence practices. Manage Application Lifecycle Management (ALM) for CRM and Power Platform solutions. Required Skills Technical Expertise Deep knowledge of Dynamics 365 Customer Engagement and Power Platform. Proficiency in CRM customization (data model, forms, views), JavaScript, C# .NET, plugins, workflows. Strong understanding of SQL, IIS, networking, and client-side troubleshooting. Consulting & Delivery Experience in customer-facing roles with strong problem-solving and troubleshooting skills. Ability to work collaboratively in global, cross-functional teams. Certifications Advanced Microsoft certifications in Dynamics 365 and Power Platform are highly desirable. Desired Qualifications Experience authoring technical training and leading workshops. Familiarity with governance strategies, environment planning, and security roles. Knowledge of CRM integrations and cloud migration best practices. Show more

Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers). About The Role As a Data Engineer at Monks, you will design, build, and deploy cloud-native data pipelines and platforms that power marketing analytics, measurement, and activation for our clients. You will collaborate closely with senior engineers, data scientists, and strategists to deliver scalable data solutions on public cloud platforms such as GCP, AWS, or Azure. You should have a strong foundation in data engineering fundamentals, SQL, cloud data warehousing, and pipeline development with the ability to translate client requirements into robust technical solutions. Ideally, you have some experience working with marketing or product data, coupled with a solid grounding in modern data stack tools (dbt, BigQuery, orchestration frameworks) and cloud technologies. While the role focuses on data engineering, it also offers opportunities to contribute to data science and GenAI-powered projects. This role spans across the EMEA and MENA regions and involves close collaboration with our Analytics, Strategy, and Data Science teams. We offer a dynamic and challenging work environment at the forefront of AI-driven innovation in marketing. If you're passionate about building the data foundations that power modern digital experiences, we encourage you to apply! Responsibilities Assist in designing, building, and deploying data pipelines and cloud-native data solutions on platforms such as GCP and AWS. Support the development of ingestion pipelines from marketing and advertising data sources (e.g. CM360, GA4, Meta, TikTok, CRM systems) into cloud data warehouses. Contribute to the design and implementation of data models using dbt or Dataform, turning raw data into analytics-ready datasets that power reporting, measurement, and ML use cases. Write performant SQL to transform and serve large datasets in BigQuery, Snowflake, Redshift, or Databricks. Support API authentication and automation of ETL/ELT processes for data integration across cloud environments. Contribute to the deployment and orchestration of pipelines using tools such as Cloud Workflows or dbt Cloud. Help apply GenAI tools (e.g. Claude, ChatGPT, Gemini) to accelerate engineering workflows and, where relevant, to client-facing data solutions. Learn to navigate the lifecycle of a data engineering project, understanding trade-offs between performance, cost, maintainability, and time-to-delivery. Follow and contribute to documentation and best practices for pipeline development, data quality, and deployment to ensure consistency and scalability. Communicate technical concepts and solutions to both technical and non-technical stakeholders, including clients. About You The essentials: Bachelor's or Master's in a quantitative or technical subject such as Computer Science, Software Engineering, Data Engineering, Information Systems, or a related field. 1+ years of working experience in data engineering, analytics engineering, or a related field. Familiarity with designing and deploying cloud solutions on platforms such as GCP or AWS. Associate Cloud Certification such as GCP Associate Cloud Engineer, GCP Professional Data Engineer, AWS Solutions Architect Associate, or equivalent. Strong proficiency in SQL and Python. Solid understanding of data warehousing, ETL/ELT concepts, and modern data stack tools (e.g. dbt, BigQuery, Snowflake). Good understanding of APIs, including authentication methods (e.g. API keys, OAuth), with a curiosity to explore and troubleshoot. Familiarity with core cloud data services such as Cloud Functions, Cloud Run, Cloud Storage, Pub/Sub, or their AWS equivalents (Lambda, S3, SNS/SQS). Awareness of GenAI tools and their applied use in engineering workflows (e.g. Claude Code, Cursor, Copilot). Fluent English communication and written skills. Strong analytical and problem-solving skills with the ability to work independently and in a team environment. Not a Must, But a Plus Bachelor's or Master's Degree in Computer Science, Software Engineering, or Data Engineering. Previous agency or consultancy experience is a plus. Professional Cloud Certification (e.g. GCP Professional Data Engineer, AWS Data Engineer Associate). Familiarity with marketing analytics tools and data (e.g. Google Analytics, Adobe Analytics, CM360, GA4). Awareness of DataOps, CI/CD (e.g. GitHub Actions, Cloud Build), and version control tools. Familiarity with paid media and social data sources (e.g. Meta, TikTok, Google Ads). Knowledge of digital advertising industry practices and client verticals (retail, finance, etc.) is a plus. Experience with Looker Studio, Looker, Power BI, or any BI/visualisation tool. Exposure to server-side tagging (e.g. GTM Server-Side) or Customer Data Platforms (CDPs). At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants from all backgrounds who are excited to contribute to our mission. About Monks Monks is the global, digital-first, data-driven, unitary operating brand of S4Capital plc, where our culture centers on how we show up for the work and for one another. That begins with the commitment to strive for mastery—taking deep pride in our craft and creating work that sets the bar. In everyday execution, we drive momentum by choosing bold action rather than waiting for certainty. Above all, our teams are stronger together, bringing diverse perspectives into a unified team that communicates with clarity, trust, and mutual respect. This commitment to craft and innovation translates directly into widespread industry acclaim: Monks was named a Contender in The Forrester Wave™: Global Marketing Services and a leader in the 2026 Gartner® Magic Quadrant™ for Global Digital Marketing Agencies. It ranks among Cannes Lions' Top 10 Creative Companies (2022-25) and remains the only partner featured in AdExchanger’s Programmatic Power Players list every year (2020-24). Named Adweek’s first AI Agency of the Year (2023) and The One Show’s inaugural AI Pioneer Organization (2025), Monks was also awarded Business Intelligence Group’s 2026 Excellence in Artificial Intelligence Award in the Human-Machine Interaction Team category. Additionally, Monks.Flow earned AI-based Marketing Solution of the Year at the 2026 AI Breakthrough Awards and a 2026 Global Generative AI Award in the Agentic Marketing Innovation category. Finally, Monks achieved a record-breaking number of FWAs and continues to hold the most of any partner. We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us. Show more

Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers). About The Role As a Senior Data Engineer at Monks, you will lead the design, development, and deployment of scalable cloud-native data pipelines and platforms that power marketing analytics, measurement, and activation for our clients. This role requires an engineering expert with proven experience delivering production-grade data solutions on public cloud platforms such as GCP, AWS, or Azure. You should have strong data literacy with the ability to translate complex client challenges into robust, scalable technical solutions. Ideally, you have a background in marketing or product data engineering, coupled with a deep understanding of modern data stack tools, cloud architecture, and software engineering best practices. While the role focuses on data engineering, it also offers opportunities to contribute to data science and GenAI-powered projects. This role spans across the EMEA and MENA regions and involves close collaboration with our Analytics, Strategy, and Data Science teams. We offer a dynamic and challenging work environment at the forefront of AI-driven innovation in marketing. If you're passionate about building the data foundations that power modern digital experiences, we encourage you to apply! Responsibilities Provide technical mentorship and guidance to junior engineers, and lead code reviews and design reviews across projects. Upskill the wider team on best practices for cloud data engineering, modern data stack tools, and applied use of AI in engineering workflows. Design, develop, deploy, and manage scalable data pipelines and cloud-native data platforms across multiple cloud platforms, including GCP and AWS. Lead the end-to-end delivery of ingestion pipelines from marketing and advertising data sources (e.g. CM360, GA4, Meta, TikTok, CRM systems) into cloud data warehouses. Architect and implement production-grade data models using dbt or Dataform, turning raw data into analytics-ready datasets that power reporting, measurement, and ML use cases. Write optimised SQL to transform and serve large, complex datasets in BigQuery, Snowflake, Redshift, or Databricks, leveraging advanced techniques such as window functions, incremental models, and performance tuning. Design and implement robust API integrations and end-to-end automation of ETL/ELT processes for data integration across cloud environments. Own the deployment and orchestration of pipelines using tools such as Cloud Workflows, dbt Cloud, and CI/CD frameworks (e.g. GitHub Actions, Cloud Build). Apply GenAI tools (e.g. Claude, ChatGPT, Gemini) to accelerate engineering workflows and, where relevant, to design and build client-facing data solutions. Collaborate with internal and external stakeholders to understand their business challenges and support them in building tailored data solutions and technical roadmaps. Lead the complexities of a data engineering project, demonstrating the ability to evaluate solutions and apply the most suitable approach based on trade-offs between performance, cost, maintainability, and time-to-delivery. Create detailed documentation and establish best practices for pipeline development, data quality, and deployment to ensure consistency and scalability. Communicate complex technical concepts and solutions to both technical and non-technical stakeholders, including clients. Mentor junior engineers through pairing, technical guidance, and career development conversations. About You The essentials: Bachelor's or Master's in a quantitative or technical subject such as Computer Science, Software Engineering, Data Engineering, Information Systems, or a related field. 3+ years of working experience in data engineering, analytics engineering, or a related field. Experience in designing and deploying cloud solutions on platforms such as GCP or AWS. Professional Cloud Certification such as GCP Professional Data Engineer, GCP Professional Cloud Architect, AWS Data Engineer, AWS Solutions Architect Professional, or equivalent. Strong proficiency in SQL and Python. Solid understanding of data warehousing, ETL/ELT concepts, and modern data stack tools. Expertise in authenticating and authorising API requests using methods such as OAuth and API keys, and troubleshooting common API-related challenges. Expertise with data modelling tools such as dbt or Dataform. Expertise with cloud data warehousing platforms such as BigQuery, Snowflake, Redshift, or Databricks. Hands-on experience with core cloud data services such as Cloud Functions, Cloud Run, Cloud Storage, Pub/Sub, or their AWS equivalents (Lambda, S3, SNS/SQS). Experience building and deploying data pipelines in production environments. Applied experience using GenAI tools in engineering workflows (e.g. Claude Code, Cursor, Copilot). Familiarity with data privacy principles and best practices, including compliance with relevant regulations and standards. Fluent English communication and written skills. Strong analytical and problem-solving skills with the ability to work independently and in a team environment. At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants from all backgrounds who are excited to contribute to our mission. About Monks Monks is the global, digital-first, data-driven, unitary operating brand of S4Capital plc, where our culture centers on how we show up for the work and for one another. That begins with the commitment to strive for mastery—taking deep pride in our craft and creating work that sets the bar. In everyday execution, we drive momentum by choosing bold action rather than waiting for certainty. Above all, our teams are stronger together, bringing diverse perspectives into a unified team that communicates with clarity, trust, and mutual respect. This commitment to craft and innovation translates directly into widespread industry acclaim: Monks was named a Contender in The Forrester Wave™: Global Marketing Services and a leader in the 2026 Gartner® Magic Quadrant™ for Global Digital Marketing Agencies. It ranks among Cannes Lions' Top 10 Creative Companies (2022-25) and remains the only partner featured in AdExchanger’s Programmatic Power Players list every year (2020-24). Named Adweek’s first AI Agency of the Year (2023) and The One Show’s inaugural AI Pioneer Organization (2025), Monks was also awarded Business Intelligence Group’s 2026 Excellence in Artificial Intelligence Award in the Human-Machine Interaction Team category. Additionally, Monks.Flow earned AI-based Marketing Solution of the Year at the 2026 AI Breakthrough Awards and a 2026 Global Generative AI Award in the Agentic Marketing Innovation category. Finally, Monks achieved a record-breaking number of FWAs and continues to hold the most of any partner. We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us. Show more

The AI Engineer is responsible for understanding the medical imaging business problems, identifying/applying the right AI or cognitive computing technologies. In addition to being involved in the formulation and execution of technology solutions. RESPONSIBILITIES: Develops required machine learning models or prototype applications, applying formulated AI recipes and verifying the problem/solution fit Understands the challenges in medical imaging and using state of the art solutions in AI and DL Participates in building new experiences, improves existing products, ensures quality assurance test designs and contributes to test systems architecture discussions Works alongside leading innovators in the field of deep learning and health care, plays a critical role in algorithm development Analyzes and evaluates data and builds deep networks to detect or predict features, while effectively balancing quality, availability, timeliness and cost factors Job Requirements 3-6 years of AI/ML experience with a degree in a quantitative fields like Computer Science, data science, Engineering or related field required, with a significant focus on deep learning BA/BS degree in computer science or related discipline is required, MS degree is preferred Good command of the English language required (spoken and written) Required Skills Strong background in machine learning and parallel processing pipelines, with significant experience in image processing Experience in working with large datasets and relational databases (SQL) Experience with deep learning frameworks like TensorFlow, Caffe, Torch, Theano; projects on computer vision are a strong plus An intuitive sense of how to architect high-performance distributed computing systems for machine learning & tie them to business problems Powered by JazzHR 9P2ZgpJuw3 Show more