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AI and Workflow Analytics Intern (Current Masters or PhD)

Keystone - Referrals · Boston
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Other (Adjacent or hard to classify.)
posted
1d ago
location
Boston
languages
tools
> description
<p><span style="text-decoration: underline;"><strong><span data-contrast="auto">About&nbsp;K.AiML</span></strong></span></p> <p><span data-contrast="auto">The Keystone Artificial Intelligence &amp; Machine Learning (KAIML) team is building the firm’s AI capabilities from the ground up. We are&nbsp;developing internal tools, enabling teams to use AI in client work, and&nbsp;establishing&nbsp;the governance and infrastructure needed to scale these capabilities across the organization.</span><span data-ccp-props="{}">&nbsp;</span></p> <p><span data-contrast="auto">We work closely with leading researchers and practitioners on&nbsp;cutting-edge&nbsp;problems at the intersection of AI, economics, and business strategy.</span><span data-ccp-props="{}">&nbsp;</span></p> <p><span style="text-decoration: underline;"><strong><span data-contrast="auto">About the&nbsp;Internship</span></strong></span></p> <p><span data-contrast="auto">We are seeking a&nbsp;Masters- or&nbsp;PhD-level intern to work on a high-impact, firm-wide initiative to quantify the business value of AI.</span><span data-ccp-props="{}">&nbsp;</span></p> <p><span data-contrast="auto">As Keystone scales its use of AI tools, we are building a rigorous, data-driven understanding of how work is performed today and how AI changes that work. This role will focus on analyzing internal workflow and time entry data to&nbsp;establish&nbsp;baseline performance and estimate the impact of AI-enabled tools on productivity, efficiency, and quality.</span><span data-ccp-props="{}">&nbsp;</span></p> <p><span data-contrast="auto">This work will directly inform product development, prioritization decisions, and executive-level strategy.</span><span data-ccp-props="{}">&nbsp;</span></p> <p><span style="text-decoration: underline;"><strong>Key Responsibilities</strong></span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Analyze structured and semi-structured internal data (e.g., time tracking, workflows, tool usage)</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto">Develop models or frameworks to estimate time savings and productivity improvements</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="3" data-aria-level="1"><span data-contrast="auto">Identify&nbsp;patterns in how work is performed across teams and workflows</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">Partner with AI engineers and forward-deployed teams to connect analysis with real-world use cases</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="5" data-aria-level="1"><span data-contrast="auto">Translate findings into actionable insights&nbsp;for&nbsp;product and leadership decision-making</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="1" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="6" data-aria-level="1"><span data-contrast="auto">Contribute to the development of a scalable framework for measuring AI-driven value across the firm</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <p><strong><span style="text-decoration: underline;">What You'll Bring</span>&nbsp;</strong></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">PhD&nbsp;student in Applied Mathematics, Statistics, Computer Science, Economics, or a related quantitative field</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto">Strong analytical and modeling skills</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="3" data-aria-level="1"><span data-contrast="auto">Ability to structure ambiguous problems and produce clear, actionable insights</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">Interest in applying quantitative methods in a fast-paced, high-impact environment</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="2" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="5" data-aria-level="1"><span data-contrast="auto">Familiarity with NLP/ML methods for extracting structure from unstructured data (e.g., text classification, clustering, or embedding-based analysis), and comfort working with modern Python-based data science tooling</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <p><span style="text-decoration: underline;"><strong><span data-contrast="auto">Why This Role</span></strong></span></p> <p><span data-contrast="auto">This is not a traditional research internship. You will work on problems that sit&nbsp;very close&nbsp;to decision-making at the firm level, with direct visibility into how AI is transforming real workflows.</span><span data-ccp-props="{}">&nbsp;</span></p> <p><span data-contrast="auto">You will have the opportunity to:</span><span data-ccp-props="{}">&nbsp;</span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Work on a novel and highly relevant problem: measuring the real impact of AI in knowledge work</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto">Collaborate with a cross-functional team of engineers, consultants, and leadership</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="3" data-aria-level="1"><span data-contrast="auto">Contribute to decisions that shape how AI is deployed across the firm</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="3" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">Gain exposure to&nbsp;cutting-edge&nbsp;applications of AI in consulting, litigation, and strategy</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <p><span style="text-decoration: underline;"><strong><span data-contrast="auto">Additional Details</span></strong><span data-ccp-props="{}">&nbsp;</span></span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Duration: Summer 2026 (flexible start/end dates)</span><span data-ccp-props="{}">&nbsp;</span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;&quot;,&quot;469777815&quot;:&quot;multilevel&quot;}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto">Location: Boston (hybrid)</span><span data-ccp-props="{}">&nbsp;</span></li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>As an intern, actual compensation within the range will depend upon the level the individual is hired into based on their skills, experience, and qualifications.</p></div><div class="title">Intern Pay Range</div><div class="pay-range"><span>$112,000</span><span class="divider">&mdash;</span><span>$140,800 USD</span></div></div></div>