Data Scientist, Applied AI & Solutions Architect (Industrial & Operational Environments)

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    "description": "<p><span style=\"font-weight: bold\">RLG is an implementation firm that partners with clients to accelerate their improvement journey.</span></p>\n<p>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.</p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">The Opportunity</span></p>\n<p>We are looking for a <span style=\"font-weight: bold\">Data Scientist, Applied AI &amp; Solutions Architect</span> who can <span style=\"font-weight: bold\">bridge the gap between complex data and real-world business decisions</span>. This is <span style=\"font-weight: bold\">not a back-office analytics role</span>. We are seeking a hands-on builder who can design, prototype, and deploy AI-driven solutions that create immediate impact.</p>\n<p><br></p>\n<p>You will work across <span style=\"font-weight: bold\">industrial and operational environments (Energy, Manufacturing, Aerospace, etc.)</span>, helping transform complex datasets from areas such as <span style=\"font-weight: bold\">supply chain, maintenance, safety, and ESG</span> into actionable insights, tools, and systems that drive performance.</p>\n<p><br></p>\n<p>We would love to hear from you if you are energized by working across <span style=\"font-weight: bold\">messy, real-world data</span> and turning it into <span style=\"font-weight: bold\">meaningful business interventions</span>.</p>\n<p><br></p>\n<p>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.</p>\n<p> </p>\n<p><span style=\"font-weight: bold\">As a Data Scientist, Applied AI &amp; Solutions Architect, you will:</span></p>\n<ul>\n<li><span style=\"font-weight: bold\">Design and deploy fit-for-purpose AI and data systems</span> that ingest and structure complex client datasets</li>\n<li><span style=\"font-weight: bold\">Develop custom machine learning models and practical AI agents</span>, including workflow automation tools, copilots, and decision support systems</li>\n<li>Build automated data pipelines and interactive dashboards such as Power BI and Streamlit that enable clear, data-driven decision-making</li>\n<li><span style=\"font-weight: bold\">Translate complex data into clear, actionable insights,</span> focusing on what to do next</li>\n<li><span style=\"font-weight: bold\">Act as a trusted advisor in preparation for client engagement</span>, communicating technical concepts in plain language to executive stakeholders</li>\n<li>Partner with clients to identify high-impact opportunities where AI can accelerate operational and business performance</li>\n<li><span style=\"font-weight: bold\">Support and help build internal AI capabilities and contribute to the AI roadmap</span></li>\n<li>Use data to inform internal business performance, identifying trends, risks, and growth opportunities</li>\n</ul>\n<p> </p>\n<p><span style=\"font-weight: bold\">We would love to hear from you if you:</span></p>\n<ul>\n<li>Are highly curious about how businesses operate, from front-line execution to strategic decision-making</li>\n<li><span style=\"font-weight: bold\">Enjoy both building technical solutions and engaging directly with clients and stakeholders</span></li>\n<li>Are a proactive problem solver who thrives in ambiguity and moves quickly from idea to implementation</li>\n<li><span style=\"font-weight: bold\">Have exposure to industrial or operational environments such as oil and gas, manufacturing, logistics, infrastructure, or related sectors </span></li>\n<li><span style=\"font-weight: bold\">Can simplify complex concepts for non-technical audiences</span></li>\n<li>Are comfortable working across both technical environments and business discussions</li>\n<li>Have a growth mindset and are motivated by continuous learning and iteration</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">To qualify for this role, you must have:</span></p>\n<ul>\n<li>5  years of relevant experience in data science, analytics, or applied AI, with exceptional early career candidates considered</li>\n<li>A Bachelor's degree in a relevant field, with advanced degrees as an asset</li>\n<li><span style=\"font-weight: bold\">Strong programming capability in Python</span> with JavaScript as an asset</li>\n<li>Experience or strong interest in AI and machine learning, including agentic systems, workflow automation, NLP, or predictive analytics</li>\n<li><span style=\"font-weight: bold\">Proficiency in SQL and experience building scalable data pipelines</span> such as Airflow, Snowflake, or cloud native tools</li>\n<li><span style=\"font-weight: bold\">Experience creating clear, executive-level data visualizations</span></li>\n<li><span style=\"font-weight: bold\">Experience applying data, analytics, or AI solutions in industrial, operational, or asset-intensive environments</span> such as oil and gas, manufacturing, logistics, or infrastructure</li>\n<li><span style=\"font-weight: bold\">Ability to translate data into business decisions and operational impact</span></li>\n</ul>\n<p> </p>\n<p><span style=\"font-weight: bold\">What We Offer / Why Join Us:</span></p>\n<ul>\n<li>Competitive compensation aligned to experience and impact</li>\n<li><span style=\"font-weight: bold\">Opportunity to build and shape AI capabilities from the ground up</span></li>\n<li>Direct exposure to senior leadership and strategic decision-making</li>\n<li>A variety of projects across industrial sectors and functions, offering continuous learning and challenge</li>\n<li>A collaborative, entrepreneurial environment where your work directly influences outcomes</li>\n</ul>",
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