RLG is an implementation firm that partners with clients to accelerate their improvement journey. We implement transformative change through on-site coaching and practical solutions that shift the processes and behaviours of leaders and teams, connecting strategic intent to operational reality.The Opportunity We are looking for aData Scientist, Applied AI & Solutions Architectwho canbridge the gap between complex data and real-world business decisions . This isnot a back-office analytics role . We are seeking a hands‑on builder who can design, prototype, and deploy AI‑driven solutions that create immediate impact.You will work acrossindustrial and operational environments (Energy, Manufacturing, Aerospace etc.) , helping transform complex datasets from areas such assupply chain, maintenance, safety, and ESGinto actionable insights, tools, and systems that drive performance.We would love to hear from you if you are energized by working acrossmessy, real-world dataand turning it intomeaningful business interventions .Become part of our collaborative team and help shape the future of how we apply AI in business transformation, with opportunities for continuous learning, influence, and career growth.As a Data Scientist, Applied AI & Solutions Architect, you will:Design and deploy fit‑for‑purpose AI and data systemsthat ingest and structure complex client datasetsDevelop custom machine learning models and practical AI agents , including workflow automation tools, copilots, and decision support systemsBuild automated data pipelines and interactive dashboards such as Power BI and Streamlit that enable clear, data‑driven decision‑makingTranslate complex data into clear, actionable insights,focusing on what to do nextAct as a trusted advisor in preparation for client engagement , communicating technical concepts in plain language to executive stakeholdersPartner with clients to identify high‑impact opportunities where AI can accelerate operational and business performanceSupport and help build internal AI capabilities and contribute to the AI roadmapUse data to inform internal business performance, identifying trends, risks, and growth opportunitiesWe would love to hear from you if you:Are highly curious about how businesses operate, from front‑line execution to strategic decision‑makingEnjoy both building technical solutions and engaging directly with clients and stakeholdersAre a proactive problem solver who thrives in ambiguity and moves quickly from idea to implementationHave exposure to industrial or operational environments such as oil and gas, manufacturing, logistics, infrastructure, or related sectorsCan simplify complex concepts for non‑technical audiencesAre comfortable working across both technical environments and business discussionsHave a growth mindset and are motivated by continuous learning and iterationTo qualify for this role, you must have:5 years of relevant experience in data science, analytics, or applied AI, with exceptional early career candidates consideredA Bachelor's degree in a relevant field, with advanced degrees as an assetExperience or strong interest in AI and machine learning, including agentic systems, workflow automation, NLP, or predictive analyticsProficiency in SQL and experience building scalable data pipelinessuch as Airflow, Snowflake, or cloud native toolsExperience creating clear, executive‑level data visualizationsExperience applying data, analytics, or AI solutions in industrial, operational, or asset‑intensive environmentssuch as oil and gas, manufacturing, logistics, or infrastructureAbility to translate data into business decisions and operational impactWhat We Offer / Why Join Us:Competitive compensation aligned to experience and impactOpportunity to build and shape AI capabilities from the ground upDirect exposure to senior leadership and strategic decision‑makingA variety of projects across industrial sectors and functions, offering continuous learning and challengeA collaborative, entrepreneurial environment where your work directly influences outcomes#J-18808-Ljbffr