AI Data Scientist / AI Evaluation Specialist

Auto Import

<p style="-webkit-text-stroke-width: 0px; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); font-style: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; line-height: normal; margin: 0px 0px 12px; orphans: 2; text-align: start; text-decoration-line: none; text-decoration-style: solid; text-decoration-thickness: auto; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;"><span style="color: rgb(27, 27, 27); font-family: " helvetica="" neue";"=""><span style="font-size: 15px;"><strong>Key Responsibilities</strong></span></span></p><p style="-webkit-text-stroke-width: 0px; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); font-style: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; line-height: normal; margin: 0px 0px 12px 23px; orphans: 2; text-align: start; text-decoration-line: none; text-decoration-style: solid; text-decoration-thickness: auto; text-indent: -23px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;"><span style="color: rgb(27, 27, 27); font-family: " helvetica="" neue";"=""><span style="font-size: 15px;"><strong>• </strong>Create and curate high‑quality datasets (structured & unstructured) for AI/LLM training</span></span></p><p style="-webkit-text-stroke-width: 0px; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); font-style: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; line-height: normal; margin: 0px 0px 12px 23px; orphans: 2; text-align: start; text-decoration-line: none; text-decoration-style: solid; text-decoration-thickness: auto; text-indent: -23px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;"><span style="color: rgb(27, 27, 27); font-family: " helvetica="" neue";"=""><span style="font-size: 15px;"><strong>• </strong>Generate synthetic data, prompts, and “golden answers”</span></span></p><p style="-webkit-text-stroke-width: 0px; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); font-style: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; line-height: normal; margin: 0px 0px 12px 23px; orphans: 2; text-align: start; text-decoration-line: none; text-decoration-style: solid; text-decoration-thickness: auto; text-indent: -23px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;"><span style="color: rgb(27, 27, 27); font-family: " helvetica="" neue";"=""><span style="font-size: 15px;"><strong>• </strong>Evaluate AI‑generated outputs for quality, logic, and accuracy</span></span></p><p style="-webkit-text-stroke-width: 0px; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); font-style: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; line-height: normal; margin: 0px 0px 12px 23px; orphans: 2; text-align: start; text-decoration-line: none; text-decoration-style: solid; text-decoration-thickness: auto; text-indent: -23px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;"><span style="color: rgb(27, 27, 27); font-family: " helvetica="" neue";"=""><span style="font-size: 15px;"><strong>• </strong>Review and improve evaluation rubrics and scoring criteria</span></span></p><p style="-webkit-text-stroke-width: 0px; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); font-style: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; line-height: normal; margin: 0px 0px 12px 23px; orphans: 2; text-align: start; text-decoration-line: none; text-decoration-style: solid; text-decoration-thickness: auto; text-indent: -23px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;"><span style="color: rgb(27, 27, 27); font-family: " helvetica="" neue";"=""><span style="font-size: 15px;"><strong>• </strong>Rebuild and validate Python/Colab notebooks for data science problems</span></span></p><p style="-webkit-text-stroke-width: 0px; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); font-style: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; line-height: normal; margin: 0px 0px 12px 23px; orphans: 2; text-align: start; text-decoration-line: none; text-decoration-style: solid; text-decoration-thickness: auto; text-indent: -23px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;"><span style="color: rgb(27, 27, 27); font-family: " helvetica="" neue";"=""><span style="font-size: 15px;"><strong>• </strong>Assess model‑generated code across multiple programming languages</span></span></p><p style="-webkit-text-stroke-width: 0px; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); font-style: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; line-height: normal; margin: 0px 0px 12px 23px; orphans: 2; text-align: start; text-decoration-line: none; text-decoration-style: solid; text-decoration-thickness: auto; text-indent: -23px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;"><span style="color: rgb(27, 27, 27); font-family: " helvetica="" neue";"=""><span style="font-size: 15px;"><strong>• </strong>Review dashboards and data visualizations for correctness and insights</span></span></p><p style="-webkit-text-stroke-width: 0px; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); font-style: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; line-height: normal; margin: 0px 0px 12px; orphans: 2; text-align: start; text-decoration-line: none; text-decoration-style: solid; text-decoration-thickness: auto; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;"><br><span style="color: rgb(27, 27, 27); font-family: " helvetica="" neue";"=""><span style="font-size: 15px;"><strong>Required Skills</strong></span></span></p><p style="-webkit-text-stroke-width: 0px; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); font-style: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; line-height: normal; margin: 0px 0px 12px 23px; orphans: 2; text-align: start; text-decoration-line: none; text-decoration-style: solid; text-decoration-thickness: auto; text-indent: -23px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;"><span style="color: rgb(27, 27, 27); font-family: " helvetica="" neue";"=""><span style="font-size: 15px;"><strong>• </strong>Strong proficiency in <strong>Python</strong> (pandas, numpy, Jupyter/Colab)</span></span></p><p style="-webkit-text-stroke-width: 0px; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); font-style: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; line-height: normal; margin: 0px 0px 12px 23px; orphans: 2; text-align: start; text-decoration-line: none; text-decoration-style: solid; text-decoration-thickness: auto; text-indent: -23px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;"><span style="color: rgb(27, 27, 27); font-family: " helvetica="" neue";"=""><span style="font-size: 15px;"><strong>• </strong>Solid foundation in <strong>Data Science, ML, and Statistics</strong></span></span></p><p style="-webkit-text-stroke-width: 0px; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); font-style: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; line-height: normal; margin: 0px 0px 12px 23px; orphans: 2; text-align: start; text-decoration-line: none; text-decoration-style: solid; text-decoration-thickness: auto; text-indent: -23px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;"><span style="color: rgb(27, 27, 27); font-family: " helvetica="" neue";"=""><span style="font-size: 15px;"><strong>• </strong>Experience with <strong>data visualization</strong> (matplotlib, plotly, etc.)</span></span></p><p style="-webkit-text-stroke-width: 0px; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); font-style: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; line-height: normal; margin: 0px 0px 12px 23px; orphans: 2; text-align: start; text-decoration-line: none; text-decoration-style: solid; text-decoration-thickness: auto; text-indent: -23px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;"><span style="color: rgb(27, 27, 27); font-family: " helvetica="" neue";"=""><span style="font-size: 15px;"><strong>• </strong>Ability to evaluate complex AI outputs and analytical reasoning</span></span></p><p style="-webkit-text-stroke-width: 0px; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); font-style: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; line-height: normal; margin: 0px 0px 12px 23px; orphans: 2; text-align: start; text-decoration-line: none; text-decoration-style: solid; text-decoration-thickness: auto; text-indent: -23px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;"><span style="color: rgb(27, 27, 27); font-family: " helvetica="" neue";"=""><span style="font-size: 15px;"><strong>• </strong>Experience with <strong>prompt engineering</strong> or AI evaluation is a plus</span></span></p><p style="-webkit-text-stroke-width: 0px; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); font-style: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; line-height: normal; margin: 0px 0px 12px 23px; orphans: 2; text-align: start; text-decoration-line: none; text-decoration-style: solid; text-decoration-thickness: auto; text-indent: -23px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;"><span style="color: rgb(27, 27, 27); font-family: " helvetica="" neue";"=""><span style="font-size: 15px;"><strong>• </strong>Strong attention to detail and analytical thinking</span></span></p><p style="-webkit-text-stroke-width: 0px; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); font-style: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; line-height: normal; margin: 0px 0px 12px; orphans: 2; text-align: start; text-decoration-line: none; text-decoration-style: solid; text-decoration-thickness: auto; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;"><br><span style="color: rgb(27, 27, 27); font-family: " helvetica="" neue";"=""><span style="font-size: 15px;"><strong>Ideal Candidate</strong></span></span></p><p style="-webkit-text-stroke-width: 0px; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0); font-style: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; line-height: normal; margin: 0px 0px 12px; orphans: 2; text-align: start; text-decoration-line: none; text-decoration-style: solid; text-decoration-thickness: auto; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;"><span style="color: rgb(27, 27, 27); font-family: " helvetica="" neue";"=""><span style="font-size: 15px;">A versatile data scientist or AI specialist who enjoys both <strong>building</strong> and <strong>evaluating</strong> data, models, and code, and can work with precision in fast‑moving AI projects.</span></span></p><div style="-webkit-text-stroke-width: 0px; color: rgb(0, 0, 0); direction: ltr; font-family: Aptos, Arial, Helvetica, sans-serif; font-size: 12pt; font-style: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-decoration-line: none; text-decoration-style: solid; text-decoration-thickness: auto; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;"><br><span style="background-color: rgb(255, 255, 255);"><strong>Experience:</strong> 4 to 8 years of professional experience in Data Analytics or a related technical field.</span></div><div style="-webkit-text-stroke-width: 0px; color: rgb(0, 0, 0); direction: ltr; font-family: Aptos, Arial, Helvetica, sans-serif; font-size: 12pt; font-style: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-decoration-line: none; text-decoration-style: solid; text-decoration-thickness: auto; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;"><br><span style="background-color: rgb(255, 255, 255);"><strong>Education:</strong> Engineering background (B.E./B.Tech or equivalent).</span></div> <br>At Zensar, we’re <i>“experience-led everything”</i>. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: <i>Together, we shape experiences for better futures</i>. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is <i>ONE with Client</i> - a set of four core values that reflect who we are and how we work: <i>One Zensar, Nurturing, Empowering, and Client Focus</i>.<br><br> Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore <a href="https://www.zensar.com/careers/" target="_blank">Life at Zensar</a> and join us to <a href="https://www.youtube.com/embed/i2NZsiQqVnU?autoplay=1&fs=1" target="_blank">Grow. Own. Achieve. Learn.</a> to be the best version of yourself.<br><br> We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.

Back to blog