Qureos Mentor

TalentXo 

Role &amp; ResponsibilitiesWe are currently looking for a Data Engineer + Instructor &ndash; Data Mining to join our Computer Science Department. This is a full-time academic role focused on data mining, analytics, and teaching/mentoring students in core data science and engineering topics.Key Responsibilities:<ul><li>Develop and deliver comprehensive and engaging lectures for the undergraduate &quot;Data Mining&quot;, &ldquo;BigData&rdquo; and &ldquo;Data Analytics&rdquo; courses, covering the full syllabus from foundational concepts to advanced techniques.</li><li>Instruct students on the complete data lifecycle, including data preprocessing, cleaning, transformation, and feature engineering.</li><li>Teach the theory, implementation, and evaluation of a wide range of algorithms for Classification, Association rules mining, Clustering and Anomaly Detections.</li><li>Design and facilitate practical lab sessions and assignments that provide students with hands-on experience using modern data tools and software.</li><li>Develop and grade assessments, including assignments, projects, and examinations, that effectively measure the Course Learning Objectives (CLOs).</li><li>Mentor and guide students on projects, encouraging them to work with real-world or benchmark datasets (e.g., from Kaggle).</li><li>Stay current with the latest advancements, research, and industry trends in data engineering and machine learning to ensure the curriculum remains relevant and cutting-edge.</li><li>Contribute to the academic and research environment of the department and the university.</li></ul>Ideal Candidate<ul><li>A Ph.D. (or a Master's degree with significant, relevant industry experience) in Computer Science, Data Science, Artificial Intelligence, or a closely related field.</li><li>Demonstrable expertise in the core concepts of data engineering and machine learning as outlined in the syllabus.</li><li>Strong practical proficiency in Python and its data science ecosystem, specifically Scikit-learn, Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Seaborn).</li><li>Proven experience in teaching, preferably at the undergraduate level, with an ability to make complex topics accessible and engaging.</li><li>Excellent communication and interpersonal skills.</li></ul>Preferred Qualifications:<ul><li>A strong record of academic publications in reputable data mining, machine learning, or AI conferences/journals.</li><li>Prior industry experience as a Data Scientist, Big Data Engineer, Machine Learning Engineer, or in a similar role.</li><li>Experience with big data technologies (e.g., Spark, Hadoop) and/or deep learning frameworks (e.g., TensorFlow, PyTorch).</li><li>Experience in mentoring student teams for data science competitions or hackathons.</li></ul>Job Type: Full-timePay: &#8377;3,486,887.71 - &#8377;4,763,936.52 per yearWork Location: In person

Data Scientist (Data Mining) & Instructor

Role &amp; Responsibilities<ul><li>Lead user research initiatives to understand customer needs, behaviors, and pain points across digital ecosystem (apps, websites, self-service platforms).</li><li>Design and execute research studies including usability tests, surveys, field studies, diary studies, and in-depth interviews.</li><li>Translate research findings into personas, journey maps, and experience frameworks that guide product design decisions.</li><li>Collaborate with UX/UI designers, product managers, and engineering teams to embed user insights into product roadmaps.</li><li>Evaluate existing digital journeys (onboarding, loan applications, payments, customer support flows) and recommend usability and conversion improvements.</li><li>Apply mixed-methods research (qualitative + quantitative) and partner with analytics teams to validate findings.</li><li>Communicate insights through compelling reports, presentations, and storytelling to influence stakeholders at all levels.</li><li>Contribute to establishing research best practices, processes, and repositories across the design function.</li></ul>Ideal Candidate<ul><li>Bachelor&rsquo;s/Master&rsquo;s degree in HCI, Cognitive Psychology, Design, Behavioral Science, or related field.</li><li>3&ndash;5 years of experience as a UX Researcher or in a similar role within digital-first or product-driven organizations.</li><li>Strong expertise in usability testing, contextual inquiry, interviews, surveys, heuristic evaluations, and A/B testing.</li><li>Experience with tools like Dovetail, Maze, Lookback, Optimal Workshop, UserTesting, Google Analytics, Mixpanel, or Amplitude.</li><li>Ability to synthesize complex data into clear, actionable insights.</li><li>Excellent communication and stakeholder management skills; ability to influence product decisions with evidence.</li></ul>Preferred Skills:<ul><li>Prior experience in BFSI, fintech, or large-scale B2C products.</li><li>Familiarity with UX design tools (Figma, Adobe XD, Sketch) for collaboration.</li><li>Knowledge of financial services workflows and unit economics (e.g., lending journeys, KYC, payments).</li><li>Experience working in Agile/Scrum environments with cross-functional teams.</li></ul>Job Type: Full-timePay: &#8377;381,167.19 - &#8377;1,430,355.83 per yearWork Location: In person

UX Researcher (B2C, Fin-Tech)

Join TalentXo  and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

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Data Scientist (Data Mining) & Instructor

UX Researcher (B2C, Fin-Tech)