Data Science Intern, Media Equipment Engineering (Singapore, SG)

<div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>About our group:</b></H2> </div><div><p><span style="font-size:11.0pt"><span><span style="font-family:&#39;Calibri&#39;, sans-serif"><p>The Recording Media Operation Media Equipment Engineering team are a team of professional Engineers working on developing various customized media processing equipment used in high volume media manufacturing. Our mission is to works on equipment enhancements to meet new processes needs, continuous improvements to improve product quality, yield and develop new technologies. We have embraced I4.0 technology and the team is continuously working on problem solving on manufacturing equipment and process   </p></span></span></span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>About the role - you will:</b></H2> </div><div><p><span style="font-size:11.0pt"><span><span style="font-family:&#39;Calibri&#39;, sans-serif"><p>As an intern, you will actively contribute to key projects focused on data science and analytics. Your work will involve enhancing media processing tools by leveraging I4.0 technologies.</p> <ul style="list-style-type:disc"> <li>Work on projects related to Data Science / Data Analytics</li> <li>Work on data logging, extraction, and setup, applying analytics to drive data-driven decision-making.</li> <li>Develop interactive dashboards using tools and platforms such as Python and MySQL.</li> <li>Develop AI Models and Deploy </li> <li>Use Python libraries (Numpy, Pandas, Matplotlib) for data aggregation, analysis, and visualization.</li> <li>Support in installing and configuring smart sensors to optimize media processing systems</li> </ul></span></span></span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>About you:</b></H2> </div><div><p><span style="font-size:11.0pt"><span><span style="font-family:&#39;Calibri&#39;, sans-serif"><p>We are looking for a motivated individual with:</p> <ul style="list-style-type:disc" type="disc"> <li>A strong interest in data science and the ability to derive insights from complex datasets.</li> <li>Familiarity with sensors and basic understanding of their role in manufacturing processes.</li> <li>Able to commit full internship (Jan to May/Aug)</li> </ul></span></span></span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Your experience includes:</b></H2> </div><div><p><span style="font-size:11.0pt"><span><span style="font-family:&#39;Calibri&#39;, sans-serif"><ul style="list-style-type:disc"> <li>Currently pursuing a Bachelor Degree in Data Science / Engineering, Computer Science or a related field.</li> <li>Experience developing data-driven projects using Python.</li> <li>Proficiency in Python programming, particularly with libraries such as Numpy, Pandas, Matplot, pyHive &amp; Scipy library.</li> <li>Experience in doing software integration and Deployment.</li> <li>Knowledge of R programming &amp; computer hardware is a plus.</li> </ul></span></span></span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Location:</b></H2> </div><div><p><p>Our Woodlands site is one of the largest electronics manufacturing sites in Singapore, housing our recording media operations. Spread over three sites, it is easily accessible via bus or from the MRT Station, with many employees taking mass transportation to work. Here at work, you can enjoy breakfast, lunch, dinner, and snacks at our onsite canteen and coffee shop. We offer a range of facilities including an in-house gym and dance studio, as well as after-work badminton and table tennis competitions. On-site celebrations and community volunteer opportunities also abound. </p></p> <p> </p> <p><b>Location</b>: Woodlands, Singapore, W2<br> <b>Travel</b>: None</p></div></div></div>