senior data scientist

Integrant

<div><p>We Are Hiring!</p><p>
Integrant is seeking talented individuals to join our team as a &quot;Senior Data Scientist.&quot; As a senior member of our Data Science team, you will contribute to the development and deployment of advanced data models and algorithms to solve complex business problems. You will work closely with clients to understand their requirements and deliver data-driven insights to drive strategic decision-making.</p><h3 class="jobSectionHeader"><b>
Key Responsibilities:</b></h3><ul>
<li>Apply statistical and machine learning techniques to analyze structured and unstructured data.</li>
<li>Develop and implement predictive models, recommendation systems, and other data products.</li>
<li>Work on the exploration and implementation of generative AI techniques to develop innovative applications that enhance business processes and customer experiences.</li>
<li>Collaborate with cross-functional teams to identify opportunities and provide data-driven solutions.</li>
<li>Present insights and findings to clients in a clear and actionable manner.</li>
<li>Mentor and guide junior team members in data science methodologies and best practices.</li>
<li>Stay updated with the latest advancements in data science and machine learning fields.</li>
</ul><p><b>Requirements</b></p><ul><li><ul>
<li>
4+ years of experience in data science or related field.</li>
<li>Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field is a nice to have.</li>
<li>Strong programming skills in Python and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).</li>
<li>Proficient in applying machine learning techniques and algorithms (e.g., decision trees, random forests, SVMs, KNNs).</li>
<li>Deep understanding of basic and advanced neural network architectures.</li>
<li>Hands on experience with deep learning frameworks (e.g., pytorch, tensorflow, keras).</li>
<li>Experience with data visualization and storytelling tools (e.g., Tableau, Power BI).</li>
<li>Knowledge of SQL and database systems to extract and manipulate data.</li>
<li>Good knowledge about LLMs, RAG and agents.</li>
<li>Good to have: Hands on experience in building applications on top of GenAI as Chatbots.</li>
<li>Excellent problem-solving and analytical skills.</li>
<li>Strong communication and presentation skills.</li>
<li>Ability to work independently and collaboratively in a fast-paced environment.</li>
<li>Experience with cloud technologies (e.g., Azure, AWS) is a plus.</li>
<li>⁠Knowledge of data platforms such as Databricks, Snowflake, or similar is a plus.</li>
</ul></li></ul><p><b>
Benefits</b></p><ul>
<li>Salary paid in USD</li>
<li>Six-month career advancing opportunities</li>
<li>Supportive and friendly work environment</li>
<li>Premium medical insurance [employee +family]</li>
<li>English language development courses</li>
<li>Interest-free loans paid over 2.5 years</li>
<li>Technical development courses</li>
<li>Planned overtime program (POP)</li>
<li>Employment referral program</li>
<li>Premium location in Maadi &amp; Nasr City</li>
<li>Social insurance</li>
<li>In-house Technical and English training programs</li>
<li>Flexible work schedules</li>
<li>Perks: events, sponsored lunch, game area, rooftop hangout + more!</li></ul></div>

Senior Data Scientist

NielsenIQ

<div><b>Company Description</b><p><br>
As the world's largest research organization, NielsenIQ is powered by talented creative scientists. Our Data Scientist associates come from diverse disciplines such as statistics, research methodology, mathematics, psychology, business, engineering, physics and demography. These professionals drive innovation, new product ideation, develops complex analysis and delivery of data insights to measure what consumers buy.</p><b><br>
Job Description</b><p><b><i><br>
What You&rsquo;ll Do</i></b></p><ul><li>
Own Data Science for a specific-market/industry on new and already established products, services and design.</li><li>
Be a Data Science business partner for managing directors, commercial, product, and technology leaders to achieve country specific goals including revenue and EBITDA and other objectives.</li><li>
Regularly meet directly with clients to understand strategic business needs, translate them into analytical strategies and offer innovative solutions driven through state of the art methodologies in Data Science.</li><li>
Support Client and Commercial teams with Data Science design and methodological questions.</li><li>
Play a leading role in the application of data and analytics strategies in support of clients&rsquo; business needs.</li><li>
Innovate and create out of the box solutions by leveraging large and diverse data sets and state of the art technologies.</li><li>
Collaborate and align with other Data Science team units to deliver and prioritize objectives.</li><li>
Enable Data Science technology solutions on the ground and ensure solutions meets client needs.</li><li>
Leverage Product Enhancement, Product and Technology teams to bring to the market services and solutions.</li></ul><p><b><i>
Experience</i></b></p><ul><li>
Professionals with degrees in Maths, Data Science, Statistics, or related fields involving statistical analysis of large data sets.</li><li>
3-5+ years of experience in market research or relevant field</li><li>
Solid understanding of CPG/FMCG Industry and Retail market impact on client&rsquo;s business within the market.</li></ul><br>
<b>
Qualifications</b><p><b><i><br>
Qualifications</i></b></p><ul><li>
Passionate about innovation and technology</li><li>
Experienced connecting with stakeholders and clients proactively, finding ways to link client's needs with the business.</li><li>
 Innovative mindset, creativity, thinking out-of-the-box.</li><li>
Good ability to effectively convey complex concepts to non-experts.</li><li>
Strong Problem-Solving skills</li><li>
Intellectual curiosity and persistence to find answers to questions.</li><li>
Great collaborative and interpersonal skills to communicate at all levels.</li><li>
Ability to set priorities.</li><li>
Good leadership skills.</li><li>
Business acumen, consultative skills and empathy for clients.</li><li>
Great command of written and spoken English</li><li>
Eager to continuously learn and adapt to changing technologies and tools.</li><li>
Good ability to make decisions and successfully manage multiple assignments concurrently in a high pressure environment.</li></ul><br>
<b>
Additional Information</b><div></div><p><b><br>
Our Benefits</b></p><ul><li>
Flexible working environment</li><li>
Volunteer time off</li><li>
LinkedIn Learning</li><li>
Employee-Assistance-Program (EAP)</li></ul><p>
NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including r&eacute;sum&eacute; screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ&rsquo;s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ&rsquo;s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies.</p><br>
<p></p>
<p><b>
About NIQ</b></p><p>
NIQ is the world&rsquo;s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights&mdash;delivered with advanced analytics through state-of-the-art platforms&mdash;NIQ delivers the Full View&trade;. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world&rsquo;s population.</p><p>
For more information, visit NIQ.com</p><p>
Want to keep up with our latest updates?</p><p>
Follow us on: LinkedIn | Instagram | Twitter | Facebook</p>
<p><b>
Our commitment to Diversity, Equity, and Inclusion</b></p><p>
At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion</p></div>

Mukizh Fashions

<p><b>Job Title:</b> Senior Data Science Engineer<br/><b>Location:</b> Chennai (Onsite)<br/><b>Job Type:</b> Full-Time<br/><b>Experience Required:</b> 6+ Years</p><p>Position Summary</p><p>We are hiring a Senior Data Science Engineer responsible for designing, developing, and maintaining scalable data platforms and analytics solutions. The ideal candidate will have strong expertise in Python-based backend data systems, modern data warehousing, and high-performance data pipelines.</p><p>This role involves working closely with analytics and business teams to transform raw data into reliable datasets, reports, and dashboards that support decision-making and operational efficiency.</p><p>Key Responsibilities</p><ul><li>Design, build, and maintain scalable ETL/ELT data pipelines</li><li>Develop backend data processing services using Python</li><li>Integrate multiple data sources and automate data ingestion workflows</li><li>Optimize database schemas, indexing, and complex SQL queries</li><li>Manage and maintain data warehouse environments</li><li>Support reporting, analytics, and dashboard development</li><li>Monitor data pipelines and resolve performance or reliability issues</li><li>Ensure data quality, validation, and governance standards are followed</li><li>Collaborate with stakeholders to understand reporting and analytics needs</li></ul><p>Technical Skills Required</p><p><b>Programming:</b></p><ul><li>Advanced Python development</li><li>FastAPI, Pydantic, SQLAlchemy</li></ul><p><b>Databases:</b></p><ul><li>PostgreSQL</li><li>MongoDB</li><li>Query performance tuning and optimization</li></ul><p><b>Data Warehousing:</b></p><ul><li>BigQuery or Snowflake</li><li>Data modeling and schema design</li></ul><p><b>Analytics &amp; Reporting:</b></p><ul><li>Metabase or similar BI tools</li><li>Exploratory Data Analysis (EDA)</li></ul><p><b>Data Engineering:</b></p><ul><li>Complex ETL/ELT pipeline development</li><li>Data integration and workflow automation</li></ul><p>Candidate Requirements</p><ul><li>Minimum 6+ years of experience in Data Engineering or Data Science Engineering roles</li><li>Strong hands-on coding experience in Python</li><li>Experience working with structured and unstructured datasets</li><li>Proven ability to design scalable and maintainable data systems</li><li>Experience with modern data warehouse platforms</li><li>Solid understanding of data architecture and data lifecycle management</li><li>Strong analytical and problem-solving skills</li><li>Ability to work independently in a fast-paced environment</li></ul><p>Preferred Qualifications</p><ul><li>Experience building REST APIs for data services</li><li>Knowledge of cloud platforms (AWS, GCP, or Azure)</li><li>Experience handling large-scale datasets and batch processing</li><li>Understanding of data governance and validation practices</li></ul><p>What We Offer</p><ul><li>Opportunity to work on real-world, large-scale data systems</li><li>High ownership and technical decision-making responsibilities</li><li>Collaborative engineering environment</li><li>Long-term career growth opportunities</li></ul><p>How to Apply</p><p>Interested candidates can share their updated resume to <b>madhan@revolite.io</b>.</p><p>Job Types: Full-time, Permanent</p><p>Pay: Up to ₹1,500,000.00 per year</p><p>Benefits:</p><ul><li>Health insurance</li><li>Provident Fund</li></ul><p>Work Location: In person</p>

Franklin Templeton

<div><div>Clarion Partners has been a leading real estate investment manager for over 40 years. Headquartered in New York, the firm maintains strategically located offices across the United States and Europe. Clarion Partners offers a broad range of real estate strategies across the risk/return spectrum to approximately 500 institutional investors across the globe. Clarion Partners operates independently as a Specialist Investment Manager owned by Franklin Templeton (FT), a diversified firm that spans asset management, wealth management, and fintech, giving us many ways to help investors make progress toward their goals.</div><div></div><div><i>
About the Department:</i></div><div></div><ul><li><div>
The Research &amp; Strategy team drives Clarion Partners&rsquo; data, forecasting, and analytical insights to support global real estate investment decisions. The team brings together quantitative researchers, data scientists, and strategists who collaborate across geographies to deepen market understanding and inform investment outcomes. Joining this group offers exposure to complex commercial real estate datasets, modern analytical tools, and opportunities to contribute to high-impact research that shapes firmwide strategy.</div></li></ul><div></div><div><i>
How You Will Add Value?</i></div><div></div><div><i>
Core Responsibilities:</i></div><div></div><ul><li><div>
You will lead technical research supporting global investment decisions.</div></li><li><div>
You will manage and mentor a growing analytics team in Hyderabad.</div></li><li><div>
You will design and improve statistical, machine learning, and AI models.</div></li><li><div>
You will identify meaningful signals from large, noisy datasets.</div></li><li><div>
You will build and enhance forecasting and ranking models.</div></li><li><div>
You will apply model outputs to risk and portfolio frameworks.</div></li><li><div>
You will drive innovation in advanced machine learning and AI.</div></li></ul><div></div><div><i>
Strategic Responsibilities:</i></div><div></div><ul><li><div>
You will refine and strengthen existing model architectures.</div></li><li><div>
You will design experimentation and backtesting frameworks.</div></li><li><div>
You will enhance research platforms and data pipelines.</div></li><li><div>
You will communicate quantitative insights to global stakeholders.</div></li><li><div>
You will lead projects with clear objectives and timelines.</div></li></ul><div></div><div><i>
Team &amp; Collaboration:</i></div><div></div><ul><li><div>
You will coach and grow junior data scientists.</div></li><li><div>
You will work closely with investment and underwriting partners.</div></li><li><div>
You will support global teams with analytical insights.</div></li></ul><div></div><div><i>
What Will Help You Be Successful?</i></div><div></div><div><i>
Experience, Education &amp; Certifications:</i></div><div></div><ul><li><div>
Master&rsquo;s/Ph.D. in a quantitative discipline.</div></li><li><div>
7+ years in data science or quantitative research.</div></li><li><div>
Experience improving and maintaining forecasting models.</div></li><li><div>
Strong Python skills and fluency with core libraries.</div></li><li><div>
Experience with data engineering and SQL.</div></li><li><div>
Ability to productionize research models.</div></li><li><div>
Strong communication and stakeholder skills.</div></li></ul><div></div><div><i>
Technical Skills:</i></div><div></div><ul><li><div>
Knowledge of linear and tree-based ML methods.</div></li><li><div>
Experience building end-to-end analytical systems.</div></li><li><div>
Understanding of risk and portfolio modeling.</div></li><li><div>
Exposure to generative AI and NLP.</div></li><li><div>
Familiarity with MLOps and model lifecycle tools.</div></li><li><div>
Experience with Azure, Snowflake, and ETL/orchestration tools.</div></li></ul><div></div><div><i>
Soft Skills:</i></div><div></div><ul><li><div>
Ability to simplify complex technical concepts.</div></li><li><div>
Strong project and stakeholder management.</div></li><li><div>
Collaborative mindset and team orientation.</div></li></ul><div></div><div>
Work Shift Timings - 2:00 PM - 11:00 PM IST</div><div></div><div><div><div><div>
Clarion Partners is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and existing employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation.</div><div></div><div>
By joining us, you will become part of a culture that focuses on employee well-being and provides multidimensional support for a positive and healthy lifestyle. Clarion Partners offers generous benefits designed with the health and financial welfare of our employees and their families in mind, including highly competitive and expansive health care coverage, a comprehensive 401K, company-sponsored volunteer opportunities, individual volunteer time off, parental leave and childcare programs, as well as other benefits and discount purchase programs.</div><div></div><div>
Clarion Partners is committed to fostering an inclusive environment. We provide employees with the tools, resources, and learning opportunities to help them excel in their career and personal life.</div></div></div></div></div>

S&P Global

<b>About the Role:</b><br>
<b>Grade Level (for internal use):</b> 10
<br><b>The Team :</b> The Foreseer team delivers digital transformation solutions for information extraction from structures and semi structured documents and websites. Foreseer is a human in the loop platform that combines latest AI/ML advances with a state-of-the-art UI for delivering multiple projects, all powered by a core distributed, cloud native, auto scalable framework. Team comprises of experts in Java and Python language and ML engineers.
<br><br>
Job Brief
<br><br>
We are looking for a Machine Learning Engineer to help us improve our AI products and create new ML applications.
<br>ML Engineer responsibilities include transforming data into useful features using machine learning techniques to feed predictive algorithms. To succeed in this role, you should possess outstanding skills in statistical analysis, machine learning methods and feature engineering techniques.
<br>Your goal is to develop efficient self-learning AI applications.
<br><br>
Responsibilities
<br>Study and transform data science prototypes
<br>Design AI/ML applications
<br>Leverage large language models and vision language models for information retrieval
<br>Select appropriate annotated datasets for Supervised Learning methods
<br>Use effective feature engineering to transform raw data into useful features
<br>Find and implement the right algorithms and tools for ML tasks
<br>Develop ML systems according to requirements
<br>Train the developed model and run evaluation experiments
<br>Integrate the models in application flow and deploy at scale
<br>Perform statistical analysis of results and refine models
<br>Extend ML libraries and frameworks to apply in various ML tasks
<br>Remain updated in the rapidly changing field of machine learning
<br><br>
Requirements and Skills
<br>BS or MS degree in Computer Science, AI/ML, Data Science or related field.
<br>6+ Years hands on experience in AI/ML, Data Science.
<br>Knowledge of Python and related libraries.
<br>Ability to effectively write robust and testable code and design software architecture.
<br>Understanding of ML techniques for feature engineering, data preprocessing, data structures and modelling.
<br>Strong understanding of AI technologies (e.g. Generative AI, NLP, Computer Vision) and their business applications.
<br>Hands on experience in leveraging language models for information retrieval.
<br>Deep understanding of feature engineering techniques, statistics and machine learning algorithms (such as regression, classification, clustering, neural networks, etc.)
<br>Familiarity with AI platforms (e.g., TensorFlow, PyTorch), libraries (like scikit-learn) and cloud AI services (AWS, GCP, Azure).
<br>Experience in different data base technologies (like RDBMS, NOSQL)
<br>Experience in Containerization, cloud platforms, CI/CD, and deployments through CI/CD pipelines, and AWS services like S3, EKS, EC2 etc.
<br>Proficiency in the development environment, including IDE, web & application server, GIT, Azure DevOps, unit-testing tool and defect management tools
<br>Strong communication skills
<br>An analytical mind with problem-solving abilities
<br><br>
What’s In It For You?
<br><br>
<b>Our Mission:</b><br>
Advancing Essential Intelligence.
<br><br>
<b>Our People:</b><br>
We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.
<br><br>
<b>Our Values:</b><br>
Integrity, Discovery, Partnership
<br><br>
Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.
<br><br>
<b>Benefits:</b><br>
We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.
<br><br>
<b>Our benefits include:</b><br>
<b>Health & Wellness:</b> Health care coverage designed for the mind and body.
<br><br>
<b>Flexible Downtime:</b> Generous time off helps keep you energized for your time on.
<br><br>
<b>Continuous Learning:</b> Access a wealth of resources to grow your career and learn valuable new skills.
<br><br>
<b>Invest in Your Future:</b> Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
<br><br>
<b>Family Friendly Perks:</b> It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
<br><br>
<b>Beyond the Basics:</b> From retail discounts to referral incentive awards—small perks can make a big difference.
<br><b>For more information on benefits by country visit:</b> https://spgbenefits.com/benefit-summaries
<br><br>
<b>Global Hiring and Opportunity at S&P Global:</b><br>
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
<br><br>
<b>Recruitment Fraud Alert:</b><br>
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here .
<br><br>
-----------------------------------------------------------
<br><br>
Equal Opportunity Employer
<br>S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
<br><br>
If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
<br><br>
<b>US Candidates Only:</b> The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
<br><br>
----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)
<br><br>
<b>Job ID:</b> 325522
<br><b>Posted On:</b> 2026-02-18
<br><b>Location:</b> Gurgaon, Haryāna, India

Genpact

<p></p><div><div><div>Ready to build the future with AI?<br>
At Genpact, we don&rsquo;t just keep up with technology&mdash;we set the pace. AI and digital innovation are redefining industries, and we&rsquo;re leading the charge. Genpact&rsquo;s AI Gigafactory, our industry-first accelerator, is an example of how we&rsquo;re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies&rsquo; most complex challenges.<br>
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquo;s possible, this is your moment.<br>
Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions &ndash; we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.<br>
Inviting applications for the role of Senior Manager, Data Scientist!<br>
The role requires advanced analytical acumen and solution orientation. The role possesses critical thinking skills and the ability to understand and manipulate data to provide insightful observations, identify trends and communicate these effectively.<br>
The role is expected to act independently to make timely and informed decisions aligned to the role&rsquo;s remit or to escalate as appropriate to management or others in IT as needed. The role&rsquo;s insight and proposed actions should strive to be strategic, look beyond &lsquo;stop gap&rsquo; measures and seek to drive improvements to reporting and analysis practices.<br>
Responsibilities<br>
<ul><li>Relevant years of professional experience with different regression and classification methods in implementation and deployment of project on AWS GCP and Azure cloud platform. Follow the standard practice and guidelines while using Python, SQL.</li><li>Hands on experience with Langchain framework for GenAI.</li><li>experience with Dataiku on model building and deployment.</li><li>Must have intermediate understanding on Word and Excel. The candidate must have strong consultative / listening skills, ability to analyze data, and translate business requirements into actionable capabilities.</li><li>Able to design Machine learning, Deep learning and Generative AI architecture and its successful execution in the project.</li><li>Design, develop and implement generative AI models such as GANs, Variational Auto Encoders or transformers for specific application.</li><li>Must Demonstrate understanding of evaluation metrics specific to GenAI task such as inception score, frechet inception distance, perpetual path length.</li><li>Collaborating with cross-functional teams, including data scientist, engineers, domain experts to integrate Generative AI into product or services.</li><li>Develop and fine-tuning Generative AI models such as GPT for various applications.</li><li>Using Generative AI to work on tasks like text generation, sentiment analysis, chatbots and language translation using RAG and agent-based models.</li><li>Experience in using tokenization and embeddings and must have used GPT, LLaMA, Huggingface, Mistral, AWS BedRock for deploying the models.</li><li>Analyze data and Generating insights using generative AI techniques for predictive modelling and data generation.</li><li>Ability to successfully create quick project based on GenAI by asking questions using different scalable database for generating charts or statement using different large language models.</li><li>Evaluating the performance of generative AI models and implementing improvements based on feedback.</li><li>Ensuring ethical and responsible use of AI by addressing bias, privacy concerns and fairness in AI models</li><li>Proficiency in programming language like Python, SQL, frameworks such as Langchain for AI model development.</li><li>Experience on Rest API, Flask API, Fast API.</li><li></li><li></li></ul>
Qualifications we seek in you!<br>
Minimum Qualifications<br>
<ul><li>BE/B- Tech, BCA, MCA, BSc/MSc &ndash; Stats , MBA</li><li>GenAI, NLP certifications is a plus.</li></ul><br>
Preferred Qualifications/ Skills<br>
<ul><li>Personal drive and positive work ethic to deliver results within tight deadlines and in demanding situations</li><li>Flexibility to adapt to a variety of engagement types, working hours and work environments and locations</li><li>Excellent written, oral communication and presentation skills</li><li>Bring a data-driven approach to decision making</li><li>intellectually curious, always eager to learn new skills and share the knowledge with others</li><li>Proactive planner and can work independently to manage own responsibilities</li><li>Experience in handling large datasets and building scalable pipelines.</li><li>Strong communication skills and ability to engage with healthcare finance business stakeholders.</li><li>Hands on experience with Pharma data sets like IQVIA &ndash; APLD, DDD, Xponent, EMR, CRM</li></ul><br>
Why join Genpact?<br>
<ul><li>Lead AI-first transformation &ndash; Build and scale AI solutions that redefine industries</li><li>Make an impact &ndash; Drive change for global enterprises and solve business challenges that matter</li><li>Accelerate your career&mdash;Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills</li><li>Grow with the best &ndash; Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace</li><li>Committed to ethical AI &ndash; Work in an environment where governance, transparency, and security are at the core of everything we build</li><li>Thrive in a values-driven culture &ndash; Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress</li></ul>
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.<br>
Let&rsquo;s build tomorrow together.<br>
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.<br>
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.</div></div><p></p><p><br>
JobSenior Manager</p><p>
Primary LocationIndia-Bangalore</p><p>
ScheduleFull-time</p><p>
Education LevelBachelor's / Graduation / Equivalent</p><p>
Job PostingFeb 23, 2026, 1:20:39 AM</p><p>
Unposting DateOngoing</p><p>
Master Skills ListOperations</p><p>
Job CategoryFull Time</p></div>

Senior Manager, Data Scientist!

Crescendo Global

<div>
 <p>
  <strong>
   Senior Data Scientist &ndash; Machine Learning (Traditional Models)
  </strong>
 </p>
 <p>
  Experience - 6 to 10 years
 </p>
 <p>
  Location -
  <strong>
   Bangalore/Noida/Gurugram/Pune
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Fraud Analytics (LTC Claims)
  </strong>
 </p>
 <p>
  <strong>
   Role Summary
  </strong>
 </p>
 <p>
  We are seeking a
  <strong>
   Senior Data Scientist (6&ndash;10 years of experience)
  </strong>
  to support a
  <strong>
   fraud analytics initiative focused on Long‑Term Care (LTC) insurance claims
  </strong>
  . This is a
  <strong>
   client‑facing role
  </strong>
  requiring strong analytical expertise, hands‑on modeling experience, and the ability to independently drive analysis, present insights, and collaborate with stakeholders.
 </p>
 <p>
  The ideal candidate will have a solid foundation in
  <strong>
   statistical modeling and hypothesis testing
  </strong>
  , combined with deep rooted experience in
  <strong>
   tree‑based and ensemble machine learning models
  </strong>
  , and cloud‑based data platforms.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Develop and deploy
   <strong>
    fraud detection models
   </strong>
   for LTC insurance claims using statistical and machine learning techniques
  </li>
  <li>
   Perform
   <strong>
    exploratory data analysis (EDA)
   </strong>
   , feature engineering, and hypothesis testing to identify fraud patterns and anomalies
  </li>
  <li>
   Build, evaluate, and optimize
   <strong>
    traditional statistical models
   </strong>
   as well as
   <strong>
    tree‑based models
   </strong>
   such as Random Forest, XGBoost, CatBoost, LightGBM etc.
  </li>
  <li>
   Independently conduct
   <strong>
    data analysis, research, and model experimentation
   </strong>
   , and translate findings into actionable insights
  </li>
  <li>
   Write clean, efficient, and production‑ready code using
   <strong>
    Python and SQL
   </strong>
  </li>
  <li>
   Work extensively with
   <strong>
    large datasets
   </strong>
   using cloud platforms, primarily
   <strong>
    Google Cloud Platform (GCP)
   </strong>
  </li>
  <li>
   Query and manage data using
   <strong>
    BigQuery
   </strong>
   , and handle datasets stored in
   <strong>
    Cloud Storage (Buckets)
   </strong>
  </li>
  <li>
   Use
   <strong>
    Git
   </strong>
   for version control, collaboration, and code review
  </li>
  <li>
   Prepare clear, concise, and impactful
   <strong>
    presentations for clients
   </strong>
   , explaining analytical findings to both technical and non‑technical stakeholders
  </li>
  <li>
   Collaborate with business, data engineering, and client teams to ensure models align with fraud investigation and business objectives
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills &amp; Experience
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    6&ndash;7 years of hands‑on experience
   </strong>
   in data science, analytics, or applied machine learning
  </li>
  <li>
   Strong understanding of statistical modeling, probability concepts and hypothesis testing
  </li>
  <li>
   Proven experience with
   <strong>
    tree‑based and ensemble machine learning models
   </strong>
   (RF, XGBoost, CatBoost, LightGBM)
  </li>
  <li>
   <strong>
    Expert‑level SQL
   </strong>
   for data extraction, transformation, and analysis
  </li>
  <li>
   <strong>
    Strong Python skills
   </strong>
   for data analysis and modeling
  </li>
  <li>
   Experience using
   <strong>
    Git
   </strong>
   for source code management
  </li>
  <li>
   Solid exposure to
   <strong>
    cloud‑based analytics environments
   </strong>
   , preferably Google Cloud Platform (GCP), BigQuery and Cloud Storage
  </li>
  <li>
   Ability to
   <strong>
    work independently
   </strong>
   , manage deliverables, and drive tasks end‑to‑end
  </li>
  <li>
   Excellent
   <strong>
    verbal and written communication skills
   </strong>
   , essential for a client‑facing role
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Candidate Profile
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s/Master's degree in economics, statistics, mathematics, computer science/engineering, operations research or related analytics areas
  </li>
  <li>
   Strong
   <strong>
    data analysis experience
   </strong>
   with complex, real‑world datasets
  </li>
  <li>
   Superior
   <strong>
    analytical thinking and problem‑solving skills
   </strong>
  </li>
  <li>
   Outstanding
   <strong>
    written and verbal communication skills
   </strong>
   , with confidence in client interactions
  </li>
 </ul>
 <p>
 </p>
</div>


Data Scientist (Machine learning - XG boost) (Multiple locations)

Search 9499+ Senior data scientist jobs near you this February. New roles added regularly across leading industries. Apply today.

9499 senior data scientist jobs NEAR_ME

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Manager, Data Scientist!

Data Scientist (Machine learning - XG boost) (Multiple locations)