Jobs at Artefact (artefact.com)

Support clients by collecting, cleaning, and analyzing data from multiple sources using Excel, SQL, R or Python. Present insights and data-driven recommendations to clients, collaborate with teams to understand business needs, and participate in professional development while mentoring junior teammates.

Serve as a client-facing data consultant delivering advanced analytics, strategic data recommendations, and business proposals. Define client needs, perform research and analysis, ensure successful project delivery, and mentor junior team members while contributing to content and business development for the US office.

The Senior Data Scientist will design and build scalable data products, develop machine learning models, and collaborate with various teams to drive impactful data solutions.

Lead multidisciplinary teams to deliver AI and data transformation projects, develop client portfolios, drive sales and proposals, ensure high-quality delivery, and spread consulting knowledge across the firm.

As a Senior Consultant, you will develop strategies, deliver project support, engage with clients, and contribute to Artefact's offerings in data and AI transformation.

Lead end-to-end development of GenAI web applications, integrate ML models, manage prompt/context and vector DBs, configure agent orchestration, mentor developers, engage clients, and oversee cloud deployments and CI/CD.

Lead client engagements on AI strategy and data transformation, working with C-level stakeholders to define governance, roadmaps, and impact-driven programs. Break down ambiguous problems into structured recommendations, run workshops, align technical delivery with business objectives, and contribute to offer development and thought leadership.

As a Data Scientist - GenAI, you'll design and optimize LLM models, develop AI solutions, and solve complex business challenges through generative AI.

Lead data and AI transformation engagements: define AI and data strategies, advise C-level clients, manage cross-functional teams, drive business development, ensure solution adoption, and contribute to thought leadership and internal training.

As a Senior Analytics Consultant, manage stakeholders, design data models, lead analytics engineering, and ensure data quality while providing strategic insights to clients.

Lead and manage client data and digital strategy projects end-to-end: plan and run projects, produce C-level deliverables, coach and evaluate teams, perform advanced data analysis, define client needs, pitch solutions, and develop business proposals to grow accounts.

Support senior consultants on client projects to define needs, conduct interviews, build and present strategic data recommendations, run workshops/training, propose new services, and contribute to content and research.

The Consulting Manager will lead AI transformation programs, work with executives on strategy, drive business growth, represent the company in discussions, and mentor teams.

Lead design and implementation of scalable, reliable software systems for GenAI/LLM projects. Deploy and optimize applications using Docker, Kubernetes, Terraform, and cloud platforms. Manage multidisciplinary teams and client engagements, establish engineering best practices, and integrate emerging technologies to ensure high-quality, performant AI-powered systems.

As a Data Engineer, you will build data pipelines and scalable architectures for Generative AI, collaborating with ML Engineers and implementing best practices.

As a Senior Consultant in Data & AI Strategy, you will advise clients on data-driven strategies, analyze data, manage projects, and develop AI solutions.

The role involves designing, deploying machine learning models, collaborating with teams, ensuring data quality, monitoring model performance, and mentoring junior staff.

As a Senior Data Engineer, you will develop scalable data pipelines in GCP, transform data for visibility via Looker, ensure data quality, and provide technical advisory.

As a Senior Consultant, you'll develop strategies, solve complex problems, deliver projects, engage clients, and contribute to business growth through data and AI expertise.

Work with cross-functional teams to design, build, and deploy end-to-end data solutions. Own conception and implementation of data infrastructure, pipelines, ML model integration, REST APIs, and CI/CD. Collaborate, train, and present findings; stay current on cloud and big-data technologies.