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Golden Opportunities

<div>
 
 Job Description
 
 
 
 Define, build, and lead a team of Data Scientists and Data analysts Discover areas in operations that can be automated through machine learning Demonstrate through technical knowledge on Statistical modeling, Probability and Decision theory, Operations Research techniques and other quantitative modeling techniques Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytical solutions Work closely with internal stakeholders and align them with respect to your focus area Innovate by adapting new modeling techniques and procedures Implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports.
 
 
 
 Skills Required
 
 
 
 RoleData Scientist
 
 
 Industry TypeIT/ Computers - Software]
 
 
 Functional AreaIT-Software
 
 
 Required Education
 
 
 Employment TypeFull Time, Permanent
 
 
 Key Skills
 
 
 <ul>
 <li>
 DATA SCIENCE
 </li>
 <li>
 MACHINE LEARNING
 
 
 </li>
 </ul>
 Other Information
 
 
 Job CodeGO/JC/1384/2025
 
 
 Recruiter NameRamya V
</div>

Data Scientist - GO/JC/1384/2025

Microsoft

<div>
 
 Overview
 
 
 
 We are seeking a passionate and technically skilled Data Scientist II to join the Commerce &ndash; Platforms, Data, and Experiences (PDX) team. This team plays a pivotal role in shaping Microsoft&rsquo;s commerce data strategy, building scalable data platforms, and delivering actionable ML driven insights that drive business transformation across the ecosystem.
 
 
 As a Data Scientist II in PDX, you will work at the intersection of data engineering, data processing, and machine learning to solve complex business problems. You will collaborate with cross-functional teams to design experiments, build predictive models, and develop scalable solutions that enhance decision-making and customer experiences by producing descriptive, diagnostic, predictive and prescriptive insights.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement advanced analytics solutions to support commerce data platform initiatives including analytics based on Machine Learning Models.
 </li>
 <li>
 Partner with engineering and product teams to define data requirements and ensure high-quality data pipelines.
 </li>
 <li>
 Conduct exploratory data analysis, feature engineering, and model evaluation using structured and unstructured datasets.
 </li>
 <li>
 Ensure the models built are operable, scalable, extensible and performant.
 </li>
 <li>
 Develop dashboards, visualizations, and storytelling artifacts to communicate insights to stakeholders.
 </li>
 <li>
 Lead experimentation efforts to evaluate new features, forecasting, data quality and anomaly detection systems.
 </li>
 <li>
 Build extensible solutions on LLM models to improve productivity of engineers across the commerce organization.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, or related field.
 </li>
 <li>
 2+ years of experience in data science, analytics, or applied machine learning.
 </li>
 <li>
 Proficiency in Python, SQL, and ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Experience with cloud platforms (Azure preferred) and big data technologies.
 </li>
 <li>
 Strong understanding of statistical modeling, predictive analytics, and experimentation design.
 </li>
 <li>
 Excellent communication and stakeholder management skills.
 </li>
 <li>
 Demonstrated experience leveraging AI tools and technologies to enhance engineering effectiveness, coupled with a strong curiosity and commitment to continuous learning in the field of Artificial Intelligence.
 
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Data Science Engineer

Chryselys

<div>
 
 We&rsquo;re Hiring: Consultant &ndash; Insights &amp; Analytics at Chryselys
 
 
 
 
 Location:
 
 Hyderabad
 
 
 
 Department:
 
 Insights &amp; Analytics
 
 
 
 Job Type:
 
 Full-time
 
 
 
 Reports To:
 
 Manager
 
 
 
 About Us
 
 
 
 
 Chryselys
 
 is a Pharma Analytics &amp; Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations.
 
 
 We specialize in digital technologies and advanced data science techniques that provide strategic and operational insights.
 
 
 
 Who We Are
 
 
 
 
 People -
 
 Our team of industry veterans, advisors and senior strategists have diverse backgrounds and have worked at top tier companies.
 
 
 
 Quality -
 
 Our goal is to deliver the value of a big five consulting company without the big five cost.
 
 
 
 Technology
 
 - Our solutions are Business centric built on cloud native technologies.
 
 
 
 Role Overview
 
 
 
 As a Data Scientist Consultant at Chryselys, you will leverage advanced analytics, machine learning, and AI to transform complex datasets into actionable insights that drive strategic decision-making for our clients in the pharmaceutical and healthcare industries. You will work closely with cross-functional teams, including client stakeholders, business consultants, and analytics experts, to develop predictive models, optimize operations, and deliver innovative solutions that address critical business challenges.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and implement machine learning models and algorithms to analyze pharmaceutical datasets (e.g., IQVIA, Symphony, Veeva, Open data) and provide actionable insights.
 </li>
 <li>
 Utilize advanced statistical techniques and data science methodologies to drive insights from complex data sources.
 </li>
 <li>
 Build and maintain data pipelines and scalable machine learning models on Data Lake architecture, leveraging cloud-based platforms such as AWS (Redshift, S3, SageMaker, etc.).
 </li>
 <li>
 Collaborate with cross-functional teams to translate business problems into data science solutions.
 </li>
 <li>
 Create and present data visualizations, dashboards, and reports using tools like PowerBI, Tableau, Qlik, QuickSight, and ThoughtSpot to communicate findings and recommendations to clients.
 </li>
 <li>
 Conduct exploratory data analysis, data profiling, and feature engineering to prepare datasets for predictive modelling.
 </li>
 <li>
 Evaluate model performance, optimize algorithms, and ensure robustness and accuracy in predictions.
 </li>
 <li>
 Stay current with the latest advancements in data science, machine learning, and AI, and apply them to ongoing projects.
 
 
 </li>
 </ul>
 
 What You Bring
 
 
 
 <ul>
 <li>
 Education: Bachelor's or master's degree in data science, statistics, computer science, engineering, or a related quantitative field with a strong academic record.
 </li>
 <li>
 Experience: 5 years of experience in data science, particularly in the pharmaceutical or healthcare industry, working with key datasets like Sales, Claims, and Payer data.
 </li>
 <li>
 Skills:
 </li>
 <li>
 Proficiency in programming languages such as Python and R, with a deep understanding of libraries like TensorFlow, Scikit-learn, and Pandas.
 </li>
 <li>
 Strong experience with SQL and cloud-based data processing environments such as AWS (Redshift, Athena, S3), and experience with Jupyter Notebooks/SageMaker.
 </li>
 <li>
 Demonstrated ability to build data visualizations and communicate insights through tools like PowerBI, Tableau, Qlik, QuickSight, or similar.
 </li>
 <li>
 Strong analytical skills, with experience in hypothesis testing, A/B testing, and statistical analysis.
 </li>
 <li>
 Ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast-paced environment.
 </li>
 <li>
 Excellent communication and presentation skills, with the ability to explain complex data science concepts to non-technical stakeholders.
 </li>
 <li>
 A strong problem-solving mindset, with the ability to adapt and innovate in a dynamic consulting environment.
 
 
 </li>
 </ul>
 
 How To Apply
 
 
 
 Ready to make an impact? Apply now by clicking [here] or visit our careers page at https://chryselys.com/chryselys-career/
 
 
 Please include your resume and a cover letter detailing why you&rsquo;re the perfect fit for this role.
 
 
 
 Equal Employment Opportunity
 
 
 
 Chryselys is proud to be an Equal Employment Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
 
 
 
 Connect With Us
 
 
 
 Follow us for updates and more opportunities: https://www.linkedin.com/company/chryselys/mycompany/
 
 
 
 Discover more about our team and culture:
 
 www.chryselys.com
</div>

Consultant Insights & Analytics (Data Science)

Oracle

<div>
 
 Job Description
 
 
 
 Oracle Health Applications &amp; Infrastructure (OHAI) is transforming healthcare by leveraging AI and advanced technologies to deliver automated, patient-centric solutions globally. The Provider Reimbursement Team is central to this transformation, building scalable services to automate revenue cycle management workflows.
 
 
 We are seeking an experienced Member of Technical Staff (IC2) to join our growing engineering team. This position will play a key role in designing and developing high-quality software solutions utilizing AI/ML that drive business success and meet customer needs. The Provider Reimbursement team provides essential revenue cycle management capabilities, such as charge capture, contract management and claims generation.
 
 
 As a Member of Technical Staff, you will collaborate with cross-functional teams to design, build, and maintain high-performance systems for both new and existing products. You will architect complex systems, ensure smooth integration across technologies, and provide technical leadership to both junior engineers. A
 
 
 
 Responsibilities
 
 
 
 You'll work in an agile environment to contribute hands-on coding expertise, influence technical decisions, mentor engineers, and drive improvements in our engineering processes. You will work closely with data scientists, engineers, and other stakeholders to develop and deploy scalable, efficient, and reliable models that drive business value, while leading initiatives to improves reference data management across EHR.
 
 
 Basic Qualifications:
 
 
 <ul>
 <li>
 BS in Computer Science or related field, or equivalent experience
 </li>
 <li>
 3+ years in software development, with 1+ years in machine learning engineering
 </li>
 <li>
 Strong programming skills in languages such as Python, Java, or Scala
 </li>
 <li>
 Experience with product lifecycle and delivering products from scratch
 </li>
 <li>
 Experience analyzing data, generating insights, and telling stories with data
 </li>
 <li>
 Systematic problem-solving, strong communication, ownership, and drive
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Career Level - IC2
 
 
 
 About Us
 
 
 
 As a world leader in cloud solutions, Oracle uses tomorrow&rsquo;s technology to tackle today&rsquo;s challenges. We&rsquo;ve partnered with industry-leaders in almost every sector&mdash;and continue to thrive after 40+ years of change by operating with integrity.
 
 
 We know that true innovation starts when everyone is empowered to contribute. That&rsquo;s why we&rsquo;re committed to growing an inclusive workforce that promotes opportunities for all.
 
 
 Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
 
 
 We&rsquo;re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.
 
 
 Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans&rsquo; status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
</div>

Software Developer 2 (Kolkata)

upGrad

<div>
 
 Learn more: www.upgrad.com/offline-centres
 
 
 
 About the Role
 
 
 
 As an Instructor at our Offline Learning Centres, you will deliver engaging sessions in Data Science,
 
 
 Machine Learning, Deep Learning, and related fields to students and working professionals. You will
 
 
 play a vital role in ensuring high-quality learning outcomes through classroom teaching, mentorship,
 
 
 and academic support. This is a unique opportunity to combine your passion for technology and
 
 
 education, while shaping the careers of tomorrow.
 
 
 
 6 Reasons to Join upGrad Offline Learning Centres
 
 
 
 1.
 
 Career Growth &amp; SME Pathway:
 
 Accelerate your career with opportunities to move into
 
 
 leadership roles and grow as a Subject Matter Expert by contributing to content
 
 
 development, curriculum design and new program launches.
 
 
 2.
 
 Continuous Upskilling:
 
 Access 100% free upGrad programs for yourself and a 50% discount
 
 
 for your family.
 
 
 3.
 
 Comprehensive Health &amp; Wellbeing:
 
 Benefit from INR 5L medical insurance for yourself
 
 
 and your family, plus a 24x7 mental health helpline for all-round support.
 
 
 4.
 
 Attractive Incentives
 
 : Earn additional incentives for successful student referrals from your
 
 
 batches, giving you direct rewards for expanding the learner community.
 
 
 5.
 
 Employee Referral Bonus:
 
 Receive INR 15,000 for every successful employee referral &ndash;
 
 
 bring great talent to upGrad and get rewarded.
 
 
 6.
 
 Impact &amp; Exposure:
 
 Opportunity to work with industry leaders, design cutting-edge content,
 
 
 and directly impact learner success.
 
 
 
 Key Responsibilities
 
 
 
 &bull; Deliver in-person lectures and training sessions in Data Science, Machine Learning, Deep
 
 
 Learning and related domains.
 
 
 &bull; Guide learners through concepts, case studies, and projects to ensure strong understanding
 
 
 and application.
 
 
 &bull; Collaborate with Centre Managers and academic teams to monitor learner progress and
 
 
 outcomes.
 
 
 &bull; Support students with doubt-solving, mentorship, and building career-ready skills.
 
 
 &bull; Continuously update knowledge and content to stay current with industry trends and tools.
 
 
 
 Skills &amp; Experience
 
 
 
 &bull; Minimum 2+ years of teaching/training experience in Data Science, Machine Learning, or
 
 
 related fields.
 
 
 &bull; Strong programming skills in Python and understanding of SQL, Excel.
 
 
 &bull; Solid grasp of ML/DL concepts such as Regression, Decision Trees, Random Forests,
 
 
 Ensemble methods, Neural Networks, NLP, Recommendation Systems, etc.
 
 
 &bull; Strong communication, presentation, and mentoring skills.
 
 
 &bull; Comfortable with both classroom delivery and online teaching (camera-facing).
 
 
 &bull;
 
 Education:
 
 BE/ B.Tech (minimum); Postgraduate preferred.
 
</div>

Instructor - upGrad Offline Learning Centre

BuzzBoard

<div>
 Product Manager/Associate Product Manager
 
 
 About Us: At BuzzBoard, we're revolutionizing the B2SMB sales and marketing landscape with our cutting-edge AI-driven platform. Our mission is to empower small and medium-sized businesses (SMBs) by providing them with hyper-personalized sales content and insights that drive growth and success. We are growing, join us in our journey to reshape the future of digital marketing and sales automation.
 
 
 Job Description: As a Product Manager at BuzzBoard, you will be an integral part of our innovative product team, contributing to the development and support of our core applications utilized by hundreds of users. This is an exciting opportunity to own and drive the evolution of one or more product lines in a fast-paced, dynamic environment.
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Product Ownership: Take full ownership of one or more product lines, ensuring they meet user needs and business goals
 </li>
 <li>
 Roadmap and Milestones: Develop and maintain product roadmaps and milestones. Collaborate with your team to estimate, implement, and prioritize features, ensuring the highest impact initiatives are addressed
 </li>
 <li>
 User-Centric Development: Deeply understand user needs, map user journeys, and build solutions that address pain points. Define features, write specifications and user stories, create wireframes and prototypes, and manage release checklists and communications
 </li>
 <li>
 Cross-Functional Collaboration: Work closely with engineering, UI/UX design, operations, business, and other cross-functional teams to manage daily workflows and ensure seamless product development
 </li>
 <li>
 Stakeholder Communication: Act as a liaison between your team and Business, Engineering, and Marketing leadership, effectively communicating product functionality and incorporating feedback
 </li>
 <li>
 GenAI and ML Integration: Leverage Generative AI and Machine Learning technologies to enhance product features and functionality. Collaborate with data science teams to integrate AI-driven insights into the product
 </li>
 <li>
 Agile Environment: Thrive in an agile environment by continuously iterating, optimizing, and ideating based on user feedback and market trends
 </li>
 <li>
 Analytics and Reporting: Utilize product analytics tools, user behavior analytics, and reporting tools to drive data-informed decisions and optimizations
 </li>
 <li>
 Timely Delivery: Ensure the timely delivery of high-quality, well-crafted products that delight our users
 
 
 </li>
 </ul>
 Requirements:
 
 
 <ul>
 <li>
 Experience: 4+ years of product management experience, ideally in B2B SaaS
 </li>
 <li>
 Educational Background: Bachelor&rsquo;s degree in Engineering, Computer Science, or a related technical field is preferred
 </li>
 <li>
 GenAI and ML Proficiency: Experience with Generative AI and Machine Learning applications is crucial for success in this role
 </li>
 <li>
 Cross-Functional Influence: Demonstrated ability to engage and influence cross-functional teams and senior stakeholders
 </li>
 <li>
 Business Case Development: Experience in building and promoting business cases to drive product development
 </li>
 <li>
 Agile Methodologies: Proficiency in iterative software delivery methodologies
 </li>
 <li>
 Product Shipping: Proven track record of shipping and managing products with cross-functional teams
 </li>
 <li>
 Global Collaboration: Experience working with US customers and vendors on technology and product-based partnerships is preferred
 </li>
 <li>
 Communication Skills: Strong verbal and written communication skills, with the ability to convey technical details to non-technical audiences and drive decision-making
 </li>
 <li>
 Customer Listening and Ideation: Skilled in listening to customer feedback, ideating solutions, and optimizing products based on user needs and market trends
 </li>
 <li>
 Analytics Proficiency: Experience with GenAI/ML products, product analytics tools, user behavior analytics, and reporting tools is a definite plus
 </li>
 <li>
 Initiative and Energy: High energy, self-starter with a passion for learning new technologies
 </li>
 <li>
 Startup Experience: Previous experience in a startup environment is a plus
 
 
 </li>
 </ul>
 What We Offer:
 
 
 <ul>
 <li>
 WFH
 </li>
 <li>
 Innovative Environment: Work in a cutting-edge field with a team of passionate professionals
 </li>
 <li>
 Growth Opportunities: Develop your career in a fast-growing company with opportunities for advancement
 </li>
 <li>
 Collaborative Culture: Join a supportive team that values collaboration and innovation
 </li>
 <li>
 Impactful Work: Make a significant impact on the success of SMBs through your contributions to our platform
 
 
 </li>
 </ul>
 Join Us: If you are a motivated, user-focused product manager with experience in Generative AI and Machine Learning, and a passion for technology and innovation, we want to hear from you! Apply now to join the BuzzBoard team and help us revolutionize the future of B2SMB sales and marketing.
 
 
 
 Contact
 
 : geetika@buzzboard.com
 
 
 Powered by JazzHR
 
 
 KHFbeOLhcc
</div>

Associate Product Manager / Product Manager

<div>
 
 Job Reference #
 
 
 322763BR
 
 
 
 Job Type
 
 
 Full Time
 
 
 
 Your role
 
 
 Are you analytical and passionate about building and using data-driven decision making systems? Do you have an innovative engineering mindset? Do you enjoy using cutting edge technology and developing a variety of solutions to achieve your goals?
 
 
 We are looking for a hands-on Data Engineer who would join UBS Group Technology in the build-out and implementation of the firms Enterprise Data Mesh to make a step change in the management of data in the bank.
 
 
 You will:
 
 
 <ul>
 <li>
 Build an enterprise data mesh linking our data
 </li>
 <li>
 Ensure Data Architecture for IT enables transition to real time access to data
 </li>
 <li>
 Institute 'knowledge-as-a-service' approach &ndash; allowing management of the technical landscape
 
 
 </li>
 </ul>
 
 Your team
 
 
 You will be part of a nimble and multi-disciplinary Data Engineering team within Group CTO working closely with specialists across multiple areas of Group Technology. We are providing the foundation for data-driven technology management &ndash; facilitating processes starting from strategic and architecture planning, to demand management - all the way to development and deployment.
 
 
 The team is global based primarily in India, Switzerland, UK and the US.
 
 
 
 Your expertise
 
 
 You have:
 
 
 <ul>
 <li>
 Having at least 12+ years experience with a great track record delivering hands-on development and design of data platforms; ideally API-driven data/knowledge-as-a-service solutions.
 </li>
 <li>
 Strong command of Python. Should be well versed implementing python code using object oriented principles, functional programming &amp; data structures.
 </li>
 <li>
 Good knowledge on SQL query implementation and database concepts.
 </li>
 <li>
 Knowledge around working with data storage technologies open table formats like delta lakes, iceberg.
 </li>
 <li>
 Experience building modern solutions using Azure cloud native technologies.
 </li>
 <li>
 Able to understand and work on compute technologies for big data processing.
 </li>
 <li>
 Command of application, data and infrastructure architecture disciplines
 </li>
 <li>
 Experience working in delivery-oriented agile teams.
 
 
 </li>
 </ul>
 Desired:
 
 
 <ul>
 <li>
 Strong command of Python. Other languages are desirable (Java,Scala etc)
 </li>
 <li>
 Hands-on experience with Spark &amp; SQL technologies
 </li>
 <li>
 Exposure to cloud development with Azure and or AWS
 </li>
 <li>
 Experience designing RESTful and GraphQL APIs
 </li>
 <li>
 Familiarity with Data Warehousing, logging, alerts and infrastructure set up
 </li>
 <li>
 Prior experience as a Data Platform Engineer or Data Architect
 </li>
 <li>
 Financial Services background is advantageous, but not mandatory
 </li>
 <li>
 Experience delivering solutions for Data Analytics users of e.g. Tableau, PowerBI
 </li>
 <li>
 Experience with Machine Learning and Artificial Intelligence is a plus
 
 
 </li>
 </ul>
 You are:
 
 
 <ul>
 <li>
 Willing to take full ownership of the problem and code, and can hit the ground running and deliver great solutions
 </li>
 <li>
 A strong thinker that sees problems around the corner and resolves them
 </li>
 <li>
 Adept in communicating with both technical and non-technical audiences
 
 
 </li>
 </ul>
 
 About Us
 
 
 UBS is the world&rsquo;s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal &amp; Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.
 
 
 We have a presence in all major financial centers in more than 50 countries.
 
 
 
 How We Hire
 
 
 
 We may request you to complete one or more assessments during the application process. Learn more
 
 
 
 Join us
 
 
 At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We&rsquo;re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. We also recognize that great work is never done alone. That&rsquo;s why collaboration is at the heart of everything we do. Because together, we&rsquo;re more than ourselves.
 
 
 We&rsquo;re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.
 
 
 
 Disclaimer / Policy Statements
 
 
 UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
</div>

Data Engineer – Python

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