3325 Data Scientist Jobs - Page 14

Chicmic Studios Job Role: Data Scientist Experience Required: 3+ Years Skills Required: Data Science, Python, Pandas, Matplotlibs Job Description: We are seeking a Data Scientist with strong expertise in data analysis, machine learning, and visualization. The ideal candidate should be proficient in Python, Pandas, and Matplotlib, with experience in building and optimizing data-driven models. Some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models would be a plus. Roles & Duties: Analyze and process large datasets using Python and Pandas. Develop and optimize machine learning models for predictive analytics. Create data visualizations using Matplotlib and Seaborn to support decision-making. Perform data cleaning, feature engineering, and statistical analysis. Work with structured and unstructured data to extract meaningful insights. Implement and fine-tune NER models for specific use cases (if required). Collaborate with cross-functional teams to drive data-driven solutions Required Skills & Qualifications: Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, etc.). Experience in data analysis, statistical modeling, and machine learning. Hands-on expertise in data visualization using Matplotlib and Seaborn. Understanding of SQL and database querying. Familiarity with NLP techniques and NER models is a plus. Strong problem-solving and analytical skills. Contact: 9875952836 Office Address: F273, Phase 8B industrial Area, Mohali, Punjab. Job Type: Full-time Education: Bachelor's (Required) Experience: Data science: 2 years (Required) Work Location: In person

We are looking for an experienced and passionate Data Scientist with strong expertise in deep learning , medical imaging , and foundation models . This is a hands-on technical contributor role at the intersection of healthcare and artificial intelligence. You will help build transformative AI solutions to improve diagnostics, clinical workflows, and patient outcomes. Your work will focus on designing and developing cutting-edge AI/ML algorithms for tasks such as image analysis , segmentation , classification , anomaly detection , and generative modeling in Magnetic Resonance Imaging (MRI) . Project Roles and Responsibilities Key Responsibilities: Lead end-to-end development of deep learning models for medical imaging—from data curation and preprocessing to training, evaluation, and deployment. Explore and fine-tune foundation models (e.g., Vision Transformers, CLIP, BioGPT, MedSAM) for diagnostic and clinical imaging use cases. Research and prototype novel architectures for segmentation, detection, and generation (e.g., UNet variants, GANs, Autoencoders, Diffusion Models). Collaborate with cross-functional teams including radiologists, product managers, software engineers, and regulatory experts to ensure clinical accuracy, robustness, and compliance. Develop scalable ML pipelines, model interpretability tools, and performance monitoring systems. Publish research in peer-reviewed journals or conferences and represent the company at relevant scientific/industry forums. Mentor junior data scientists and promote best practices in model development, validation, and documentation. Required Qualifications: PhD or Master’s degree in Computer Science, Biomedical Engineering, Applied Mathematics, or related field. 5+ years of experience in data science or machine learning, with 3+ years in medical imaging . Strong hands-on experience with TensorFlow , PyTorch , and deep learning architectures for computer vision. Practical knowledge of foundation models , including prompt engineering, fine-tuning, and domain adaptation. Experience working with 2D/3D imaging datasets ( DICOM , NIfTI ) and medical imaging toolkits (e.g., MONAI , SimpleITK , ITK-SNAP ). Solid understanding of evaluation metrics like Dice, IoU, AUC, and experience handling imbalanced datasets. Familiarity with healthcare data compliance (HIPAA, FDA, MDR) and AI/ML lifecycle for medical devices. Excellent communication, leadership, and analytical problem-solving skills. Preferred Qualifications: Research publications or patents in healthcare AI or medical imaging. Experience with PACS/RIS systems , HL7/DICOM standards , and clinical workflows. Familiarity with LLMs or multimodal generative models in clinical settings. Exposure to MLOps , model deployment, and optimization tools such as TensorRT , ONNX , OpenVINO .

Looking for immediate joners or serving notice period would be preferred Purpose of the Role At Yum! We’re looking for a Data Scientist II to add to our dynamic and rapidly scaling team. We’d want you to be part of our mission to optimize our digital channels and technology innovations with the end goal of creating competitive advantages for our restaurants around the globe and other engagements. We’re looking for a solid analytics professional who brings fresh ideas from experience and is eager to tackle new challenges in our company. As a Data Scientist II , you will: Analyze data and generate analytical outputs to deliver insights, evaluate the hypothesis and complete root cause analysis of the business problem. Should have strong analytical skillset to design end to end solution leveraging the latest machine learning (ML) techniques, including data preparation, exploratory data analysis, feature engineering, model selection, model development, model evaluation, cross-validation, and deployment Effectively present the analytics approach and insights to a larger business audience. Solve business problems which involves: Brainstorm with clients and internal teams to define a problem Translate the business problem into an analytical problem Identify internal and external data requirements for solving the analytical problem Solving the analytical problem using concepts from mathematics, statistics, Artificial Intelligence and Machine learning Create, maintain and enhance artefacts that can help communicate the solution to clients like dashboards, power point decks, excel sheets etc. Mentor team and handle day to day project deliverables and timeline. Minimum Requirements: Bachelor’s degree / master’s degree in engineering, quantitative field such as statistics, business analytics or equivalent past work experience 4-6 years of experience in data science, leading teams, building hands-on Analytical models Advanced SQL skills, excellent programming skills in Python. Strong working knowledge of Python’s numerical, data analysis, or AI frameworks. Hands-on experience working with regression, clustering, decision trees and related models. Ability to use data and metrics to back up assumptions, evaluate the hypothesis and complete root cause analysis of the business problem. Experience in integrating business analysis with technical solutions that involve advanced analytics solutions, demand forecasting, segmentation, churn prediction, predictive maintenance, and route optimization, etc.

Intelligence Node is a real-time retail intelligence platform that enables businesses to enhance product-level profitability and boost margins by leveraging data-driven competitive insights. The cutting-edge technology of Intelligence Node employs AI to analyze billions of data points across 1,900 retail categories in 34 global markets. The business model of Intelligence Node offers a comprehensive suite of solutions, including product matching, digital shelf analytics, assortment & availability, pricing & promotions, and brand compliance. These solutions aid retailers and brands in making strategic and operational decisions. With a patented product matching engine and proprietary AI, Intelligence Node ensures 99% data accuracy and 10-second data refresh rates. Following its acquisition by Interpublic Group (IPG) in December 2024, Intelligence Node collaborates with IPG to provide a future-ready combined solution to companies navigating the complexities of the current commerce landscape. Together with IPG, Intelligence Node delivers comprehensive data, advanced analytics, and strategic expertise to help enterprise brands and retailers secure market share and drive sustainable growth. **Junior Data Scientist** As a Junior Data Scientist at Intelligence Node, you will collaborate closely with senior data scientists and business stakeholders to discover data-driven insights and opportunities in the retail sector. Your responsibilities will involve analyzing retail data sets using statistical techniques and machine learning algorithms, developing predictive models to support business decisions, and implementing data pipelines for processing and preparation. Additionally, you will support the creation of reports and dashboards to visualize and communicate data insights. Staying updated with the latest developments in data science and retail analytics is a key aspect of this role. **Required Skill Set** - Minimum of 2-3 years of experience in Data Science - Proficiency in Python and data science libraries such as NumPy, Pandas, and Scikit-learn - Strong understanding of statistical techniques and their applications in the retail sector **Senior Data Scientist** In the role of Senior Data Scientist at Intelligence Node, you will lead a team of data scientists and work closely with key business stakeholders to develop advanced machine learning models and neural networks for solving complex problems in the retail and e-commerce domains. Your responsibilities will include experimenting with Large Language Models (LLMs), designing scalable data pipelines, mentoring junior data scientists, and deploying predictive models into production. **Required Skill Set** - 7-10 years of experience in Data Science - Proficiency in Python or C++ - Deep understanding of BERT, transformers, and advanced machine learning architectures - Expertise in computer vision techniques and applications such as visual transformers and OCR - Curiosity to explore LLMs and their applications - Extensive retail and e-commerce experience preferred - PhD in a related field preferred Interested candidates are encouraged to share their updated CVs at a.vernekar@intelligencenode.com along with their current remuneration details. Candidates from Mumbai are preferred for this role.,

Wipro Limited is a leading technology services and consulting company dedicated to creating innovative solutions that cater to clients" most intricate digital transformation requirements. With a comprehensive portfolio encompassing consulting, design, engineering, and operations, we empower clients to achieve their most ambitious goals and establish sustainable, future-ready enterprises. Our global presence spans across 65 countries, with over 230,000 employees and business associates committed to supporting our customers, colleagues, and communities in an ever-evolving world. For further details, please visit our website at www.wipro.com. The role aims to facilitate process delivery by ensuring the daily performance of Production Specialists, addressing technical escalations, and enhancing technical proficiency within the team. Key responsibilities include: - Monitoring and supporting processes by reviewing daily transactions and performance metrics - Assisting the team in enhancing performance parameters through technical guidance - Documenting queries, resolutions, and ensuring adherence to standard processes - Resolving client queries within defined SLAs and escalating critical issues promptly - Providing technical support and troubleshooting for client inquiries - Conducting training sessions to enhance technical knowledge and operational excellence - Keeping abreast of product updates and conducting necessary trainings as per client requirements The ideal candidate should possess mandatory skills in GCP AI ML and have 5-8 years of relevant experience. Join us at Wipro and be part of a dynamic environment focused on continuous reinvention and digital transformation. Embrace the opportunity to evolve your career and skills within a purpose-driven organization that encourages personal growth and innovation. We welcome applications from individuals with disabilities.,

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements A proactive problem-solver, quick learner, and reliable team player with a can-do attitude. Strong sense of discipline, ownership, and commitment to delivering high-quality work. Solid coding skills, with a focus on clean, efficient, and maintainable code. Good foundation of data structures, algorithms, operating systems, computer architecture, mathematics, and statistics. Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau) Proficiency in Python and SQL. Strong knowledge of AI/ML concepts, particularly in anomaly detection, predictive analytics, clustering, NLP, neural networks, and large language models (LLMs). Hands-on experience with machine learning libraries and frameworks such as NumPy, pandas, scikit-learn, PyTorch, and TensorFlow. Familiarity with cloud platforms like AWS and Azure, especially with AI/ML and data-related services. Experience working with databases, including relational, NoSQL, document, graph and vector databases. Exposure to big data technologies is welcome. Experience in image processing is an advantage. Exposure to DevOps and MLOps practices is a plus. Familiarity with AIS (Automatic Identification System) data is a plus. Experience developing chatbots, voice assistants, or customer service applications is a plus. Experience in web crawling, data collection, processing, and integrating external data sources is a plus. Experiences with HS Code Classification is a plus. Candidates must be from be graduated from IIT Roorkee

Company Description Syngenta Group At the Syngenta Group, our 56,000 people across more than 90 countries strive every day to transform agriculture through tailor-made solutions for the benefit of farmers, society and our planet – making us the world's most local agricultural technology and innovation partner. Website address - https://www.syngentagroup.com/ LI page - https://www.linkedin.com/company/syngentagroup/posts/?feedView=all Syngenta We are a leading, science-based agriculture company, empowering farmers to meet the demands of modern agriculture. Using cutting-edge innovation, we help farmers to grow resilient, healthy crops that can feed a growing global population, while promoting sustainable farming practices that protect and enhance our planet. Headquartered in Switzerland, we are a global agritech leader with more than 30,000 employees across over 90 countries. https://www.syngenta.com/company Job Description Role Purpose The Data Scientist will utilize data science techniques to solve real-world problems to enable informed decisions to Crop Protection Development (CPD) and related divisions. While partnering with other data scientists, developers, domain experts, product managers and other stakeholders Data Scientist will build various data science solutions by collecting, analysing, and interpreting large datasets, building algorithms and predictive models. Will contribute to the development and enhancement of customer (farmer/grower) centric mobile application. Accountabilities With a focus on the Digital and Data Science critical initiatives for Crop Protection development (CPD) in India: Collaborate with cross-functional teams to understand business requirements and design end-to-end solutions architecture for data science applications. Utilize crop protection trial data, generate insights via dashboards, ML/DL/AI/LLM models that help field scientists, digital agronomists and product development heads to take informed decisions. Perform statistical analyses of product performance data for towards CPD and business needs. Work closely with Digital Agronomy team to automate field insights and query response for the field scientists, farmers, and commercial team. Partner with AMEA and Global Technical Excellence and Quantitative Biology team for development, testing, and implementation of new methodologies and applications in data projects. Use BITS and other tools and systems to provide information to CPD team in the form of data searches, queries, summaries, visualizations, analyses, and reports. Build deep learning/image recognition based advisory tool for the farmers via Cropwise grower App. Collaborate with data engineering team to seamlessly transition ML/AI innovations into scalable and reliable operational solutions. Prepare technical reports and presentations to communicate results and insights to both technical and non-technical stakeholders. Contribute to the development and testing of mobile application/enhancement on the application for various platforms like Android, iOS, or Windows. Qualifications Knowledge, Experience & Capabilities Critical knowledge Master’s or bachelor’s degree in data science, Computer Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related quantitative field. More than 4 years of experience in Python/R programming, Web Scraping, Data Wrangling, Data Visualization/R Shiny/Dash, Machine Learning, Deep Learning, AI, NLP, LLM, SQL, WS/Google Cloud/Azure At least 2 years of experience working in data science or related discipline in the agrochemical industry. Critical Experience Good understanding of agriculture, field trials, crop protection, farmer focused applications and its elements Strategic thinking, ability to understand customer needs, business potential in India. Focused on customers and dedicated to meet the expectations and requirements of internal and external customers. Broad understanding of digital tools, data analytics, ML, DL, AI, Data Visualization, web scraping, data summarization Experience in NLP, LLM, Mobile application is an added advantage. Strong communication skills to guide and influence stakeholders / organization to drive digital transformation. Collaborative, inclusive and cross functional attitude. Comfortable working in a matrix organization. Proven track-record of delivering data science solutions in agrochemical industry Critical Technical, Professional, And Personal Capabilities Good people skills. Excellent communication skills. Highly fluent in English. Capability to drive and enthusiasm in product development. Ability to motivate and lead others. Ability to accept challenges and achieve results under pressure. Good written, oral communication and presentation skills. Good computer skills (including word processing, presentation preparation). High level of integrity and self-motivation. Critical Leadership Capabilities Passion and enthusiasm for data science and its applications for agriculture Medium to extensive experience in Big-Data analysis and reporting Experience in operating independently in a complex matrix environment Focused on customers and is dedicated to meeting the expectations and requirements of customers. Additional Information People are at the heart of what we do: Once a year Full body check Competitive insurance scheme Employee assistance program – to take care of your and your loved ones mental health Paid Vacation of 30days, 12 Paid Holidays, Maternity and Paternity Leave, compassionate leaves Education assistance – for your career growth People first culture translated into ‘Most Preferred place to work 2022-23 by Times group’ Note: Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital or veteran status, disability, or any other legally protected status. To learn more visit: www.syngenta.com and www.good-growth-plan Follow us on: Twitter & LinkedIn Twitter LinkedIn

Job Description We are seeking a talented AI Engineer with a strong background in signal processing vibration analysis and acousticnoise control The ideal candidate will have experience in deploying AI solutions on edge and IoT devices This role will involve designing developing and implementing AI algorithms to process and analyze various signal types and control noise in realtime applications Experience with Generative AI and Predictive Analytics particularly within the Oil Gas OG and Manufacturing sectors is a plus Key Responsibilities Develop and implement AI algorithms for signal processing vibration analysis and acousticnoise control Design and deploy AI models on edge and IoT devices Collaborate with crossfunctional teams to integrate AI solutions into existing systems and products Perform data analysis and interpretation to improve and optimize AI models Work on realtime data processing and ensure efficient deployment on resourceconstrained devices Conduct research and stay updated on the latest advancements in AI signal processing noise control Generative AI and Predictive Analytics Troubleshoot and resolve issues related to AI models and deployment on edge devices Qualifications Bachelors or Masters degree in Electrical Engineering Computer Science Mechanical Engineering or a related field Proven experience in signal processing vibration analysis and acousticnoise control Strong programming skills in Python MATLAB or similar languages Experience with AI frameworks and libraries such as TensorFlow PyTorch or similar Knowledge of deploying AI models on edge and IoT devices Familiarity with microcontroller programming and embedded systems Strong analytical and problem solving skills Excellent communication and teamwork abilities Experience with Generative AI and Predictive Analytics Knowledge of the Oil Gas OG and Manufacturing sectors is a plus

Job Description Greetings from Colan Infotech!! Role - Data Scientist Experience - 3-10 Years Job Location - Chennai/Bangalore Notice Period - Immediate to 30 Days Primary Skills Needed : AI/ML, Tensorflow, Django, Pytorch, NLP, Image processing,Gen AI,LLM Secondary Skills Needed : Keras, OpenCV, Azure or AWS Job Description:- Practical knowledge and working experience on Statistics and Operation Research methods. Practical knowledge and working experience in tools and frameworks like Flask, PySpark, Pytorch, tensorflow, keras, Databricks, OpenCV, Pillow/PIL, streamlit, d3js, dashplotly, neo4j. Good understanding of how to apply predictive and machine learning techniques like regression models, XGBoost, random forest, GBM, Neural Nets, SVM etc. Proficient with NLP techniques like RNN, LSTM and Attention based models and effectively handle readily available stanford, IBM, Azure, Open AI NLP models. Good understanding of SQL from a perspective of how to write efficient queries for pulling the data from database. Hands on experience on any version control tool (github, bitbucket). Experience of deploying ML models into production environment experience (MLOps) in any one of the cloud platforms like Azure and AWS Comprehend business issues and propose valuable business solutions. Design Factual or AI/profound learning models to address business issues. Design Statistical Models/ML/DL models and deploy them for production. Formulate what information is accessible from where and how to augment it. Develop innovative graphs for data comprehension using d3js, dashplotly and neo4j Interested candidates send updated resume to kumudha.r@colanonline.com

About the company: With over 2.5 crore customers, over 5,000 distribution points and nearly 2,000 branches, IndusInd Bank is a universal bank with a widespread banking footprint across the country. IndusInd offers a wide array of products and services for individuals and corporates including microfinance, personal loans, personal and commercial vehicles loans, credit cards, SME loans. Over the years, IndusInd has grown ceaselessly and dynamically, driven by zeal to offer our customers banking services at par with the highest quality standards in the industry. IndusInd is a pioneer in digital first solutions to bring together the power of next-gen digital product stack, customer excellence and trust of an established bank. Job Purpose: To work on implementing data modeling solutions To design data flow and structure to reduce data redundancy and improving data movement among systems defining a data lineage To work in the Azure Data Warehouse To work with large data volume of data integration Experience With overall experience between 10 to 15 years, applicant must have minimum 8 to 11 years of hard core professional experience in data modeling for large Data Warehouse with multiple Sources. Technical Skills Expertise in core skill of data modeling principles/methods including conceptual, logical & physical Data Models Ability to utilize BI tools like Power BI, Tableau, etc to represent insights Experience in translating/mapping relational data models into XML and Schemas Expert knowledge of metadata management, relational & data modeling tools like ER Studio, Erwin or others. Hands-on experience in relational, dimensional and/or analytical experience (using RDBMS, dimensional, NoSQL, ETL and data ingestion protocols). Very strong in SQL queries Expertise in performance tuning of SQL queries. Ability to analyse source system and create Source to Target mapping. Ability to understand the business use case and create data models or joined data in Datawarehouse. Preferred experience in banking domain and experience in building data models/marts for various banking functions. Good to have knowledge of – -Azure powershell scripting or Python scripting for data transformation in ADF - SSIS, SSAS, BI tools like Power BI -Azure PaaS components like Azure Data Factory, Azure Data Bricks, Azure Data Lake, Azure Synapse (DWH), Polybase, ExpressRoute tunneling, etc. -API integration Responsibility Understanding the existing data model, existing data warehouse design, functional domain subject areas of data, documenting the same with as is architecture and proposed one. Understanding existing ETL process, various sources and analyzing, documenting the best approach to design logical data model where required Work with development team to implement the proposed data model into physical data model, build data flows Work with development team to optimize the database structure with best practices applying optimization methods. Analyze, document and implement to re-use of data model for new initiatives. Will interact with stakeholder, Users, other IT teams to understand the eco system and analyze for solutions Work on user requirements and create queries for creating consumption views for users from the existing DW data. Will train and lead a small team of data engineers. Qualifications Bachelors of Computer Science or Equivalent Should have certification done on Data Modeling and Data Analyst. Good to have a certification of Azure Fundamental and Azure Engineer courses (AZ900 or DP200/201) Behavioral Competencies Should have excellent problem-solving and time management skills Strong analytical thinking skills Applicant should have excellent communication skill and process oriented with flexible execution mindset. Strategic Thinking with Research and Development mindset. Clear and demonstrative communication Efficiently identify and solves issues Identify, track and escalate risks in a timely manner Selection Process: Interested Candidates are mandatorily required to apply through the listing on Jigya. Only applications received through Jigya will be evaluated further. Shortlisted candidates may need to appear in an Online Assessment and/or a Technical Screening interview administered by Jigya, on behalf on IndusInd Bank Candidates selected after the screening rounds will be processed further by IndusInd Bank

Bhubaneswar, India Job Category : Data Scientist Posting Date : 01 January 2024 Job Type : Engineering Years of Experience : 5 Does this position require a security clearance? No Applicants are required to read,write and speak the following languages Hindi/English Additional Info : Job Description Are you seeking your next career advancement? At our company, we present thrilling prospects for skilled professionals in a diverse range of job fields and positions. Come on board with us to create remarkable achievements. We take pride in being the fastest-growing enterprise resource planning platform, attracting new customers to our advanced system for expediting their business processes. Our teams diligently contribute towards our triumph, each with a crucial role to fulfill. Responsibilities Develop and create AI/ML based predictive solutions and enhance or upgrade existing ones. Collaborate and communicate effectively with various teams within Nirmalya. Establish strong partnerships with business representatives to fully grasp their requirements. Engage proficiently with other teams and individuals. Proficient in programming languages like Python. Exceptional verbal and written English communication abilities. Outstanding troubleshooting and problem-solving skills. Possess a curious mindset to tackle exciting new subjects. Display a high level of curiosity, motivation, and eagerness to learn new technologies. Valuable team player with fast learning abilities. Encouraged to contribute own ideas and perspectives openly. Qualifications Bachelor's or higher degree in computer science or a related technical/scientific discipline. Strong analytical skills required, including a thorough understanding of how to interpret customer business needs and translate them into solutions and operational requirements. Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts. Required Skills Proficiency in mathematics, statistics, computer science, or related fields is required. Preferably, expertise in linear algebra, calculus, and statistics. In-depth knowledge of data science and predictive methodologies is essential. Familiarity with agile working methodologies such as SAFe, SCRUM, KANBAN, etc. is advantageous. Capable of managing multiple projects simultaneously. Additional programming skills are highly advantageous (optional). Disclaimer Hiring Range: from 1000000 to 2250000 per annum. May be eligible for bonus and equity. We maintain broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Nirmalya’s differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. About Us Nirmalya's career has the potential to encompass various industries, roles, countries, and cultures, allowing for growth in novel positions and driving innovation, while effectively balancing work and personal life. Nirmalya has achieved success over the years by embracing change, fostering innovation, and consistently upholding ethical principles, thereby delivering exceptional results for leading companies across multiple industries.To foster and support the talents responsible for such accomplishments, our dedication lies in cultivating an inclusive culture that appreciates and embraces diverse insights and perspectives. We strive to create a workforce that inspires thought leadership and sparks innovation, ensuring a thriving environment for all. Nirmalya Employee Benefits are meticulously designed to prioritize equality, reliability, and affordability. Our comprehensive package encompasses essential features such as Medical and Life Insurance, while also granting access to Retirement Planning and more. Additionally, we actively encourage our employees to actively contribute to the well-being of the communities where we operate. We firmly believe that fostering diversity and inclusion lays the foundation for innovation. To shape a brighter tomorrow, we seek talent from diverse backgrounds, embracing a range of perspectives and abilities. We are committed to providing reasonable accommodations to individuals with disabilities throughout the job application, interview, and prospective role stages, thereby enabling them to effectively perform crucial job functions. Our dedication lies in fostering an inclusive workforce that enables every individual to thrive. We believe in the power of diverse perspectives and value every voice, as it is this harmony that propels us to surpass previous achievements. As an Equal Employment Opportunity Employer, Nirmalya ensures that all applicants are treated fairly and without discrimination. We promote equality regardless of race, color, religion, national origin, gender identity, disability, protected veterans’ status, or any other characteristic protected by law. Additionally, Oracle complies with applicable legislation by considering qualified applicants with arrest and conviction records for employment opportunities. Join our team where diversity is celebrated, and everyone's unique contribution is respected. Together, we embrace innovation and strive towards excellence – a testament to our commitment to fostering an inclusive and thriving workplace.

Experience: 2–3 Years Location: Chennai Department: AI ML / IoT Employment Type: Full-Time Immediate joiners Job Summary: We are seeking a skilled Data Scientist with 2 to 3 years of experience applying machine learning and data analytics to real-world challenges. In this role, you will work on high-impact projects that involve developing predictive models, analysing complex datasets, and delivering insights that support decision-making across product, engineering, and operations. You will contribute to a wide range of use cases, including predictive maintenance , process optimization , quality improvement , energy efficiency , and visual data analysis . Experience working with engineering or industrial datasets is beneficial, and a background in Mechanical Engineering is considered a strong advantage. Key Responsibilities Develop and deploy machine learning models for a variety of use cases such as predictive maintenance, quality monitoring, and operational optimization. Design and implement models using video and image data for tasks like visual inspection, object detection, defect identification, or process automation. Analyse large and complex datasets from diverse sources — including sensor data, logs, time-series, and multimedia (images/video) — to extract actionable insights. Explore and apply Generative AI techniques where applicable to enhance automation, analysis, or content generation in engineering and operational contexts. Build and maintain scalable data pipelines and ensure reliable data preprocessing, integration, and transformation for analysis. Collaborate closely with cross-functional teams including engineering, manufacturing, product, and software to identify opportunities for data-driven improvements. Present insights and model outputs through dashboards , reports, and visualizations using tools such as Power BI, Tableau, or Python libraries (e.g., Matplotlib, Plotly). Evaluate model performance, conduct A/B testing where applicable, and ensure continuous improvement of deployed solutions. Maintain best practices in code quality, documentation, and model interpretability to ensure robustness and transparency. Stay current with advances in data science, computer vision, and AI, and assess their potential application in solving business or engineering problems. Required Qualifications Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, or a related quantitative field. 2 to 3 years of hands-on experience in data science, machine learning, or analytics roles. Strong proficiency in Python, with experience using libraries such as Pandas, NumPy, and Scikit-learn. Experience with deep learning frameworks like TensorFlow or PyTorch. Familiarity with computer vision libraries such as OpenCV for working with image or video data. Familiarity with Generative AI frameworks or tools (e.g., OpenAI, Hugging Face Transformers) and a basic understanding of their practical applications. Solid understanding of machine learning concepts, including model development, validation, and evaluation techniques. Proficiency in SQL and NoSQL for querying and manipulating data. Experience working with large and diverse datasets, including preprocessing, cleaning, and transformation. Strong data visualization skills using tools such as Matplotlib, Seaborn, Plotly, Power BI, or Tableau. Familiarity with version control systems like Git and collaborative coding practices. Ability to interpret complex data and communicate findings clearly to both technical and non-technical audiences. Strong problem-solving skills and a structured approach to analytical thinking. Preferred Qualifications Experience working with sensor data, time-series data, or datasets from engineering or industrial systems. Understanding of physical systems, process operations, or product lifecycle data is a plus. Familiarity with cloud platforms such as AWS, Azure, or GCP, and big data tools like Spark or Hadoop. Exposure to domains such as predictive maintenance, manufacturing analytics, or process optimization. Knowledge of IoT ecosystems is advantageous. Experience in deploying models or analytics solutions in production environments. Familiarity with MLOps practices, including model tracking, versioning, and reproducibility. Working knowledge of containerization tools like Docker is an added advantage. Why Join Us? Tackle real-world challenges at the intersection of engineering and data science , with tangible impact on products and operations. Collaborate with cross-functional teams of engineers, data scientists, and domain experts in a dynamic and supportive environment. Join a culture that values innovation, experimentation , and continuous improvement. Benefit from structured mentorship, training programs , and clear paths for career development . Enjoy competitive compensation , access to industry-leading tools, and a flexible work environment that supports work–life balance.

Job Description for Data Scientist Preferred Experience : 5-7 years Work Location: Kolkata About RS Software RS Software builds global, national and enterprise payment platforms, and has presence in four continents. The product suite combines with knowledge systems built over 30 years, delivering mission-critical payment solutions that combine innovation and entrepreneurship to create the new gold standard for digital payments. With approximately 40% of the global digital payment volumes in 2021 processed on platforms built by RS Software, the vision is to deliver Payments at the Speed of Thought . RS Software is focused on the global payments modernization market, providing large-scale, high-performance payment systems, serving central Infrastructures, financial institutions, payment network providers, payment processors and software companies providing products to the payment industry. The company's product suite offers ISO 20022 ready, open payments architecture using a cloud-based microservices framework - optimizing costs, seamless integrations with commoditized products, and accelerates the pace of adoption. The company’s solutions today are installed in 12 of the top 20 banks in India, and the four major platforms built by RS Software cumulatively process annually 350+ billion transactions world-wide, giving the company a rare track record in the payments domain. RS Software’s product suite is getting recognized in some important markets, which is creating strategic partnerships, the foundation for the company’s long-term growth. RS Software has bult India’s digital payment infrastructure, the three major payment platforms, which are transforming the lives of a billion+ people. Instant digital payment platform (UPI) Bill payment platform - Bharat Bill Payment System (BBPS) Enterprise Fraud and Risk Management (EFRM) Why RS Software? RS provides a unique experience of engaging in some world class product development and prestigious large scale payment platforms that caters to billions of people We provide opportunity to learn and develop high throughput transaction processing systems RS Software is one of the few technology and payment solutions providers where talented individuals have the opportunity to work on cutting-edge, complex, and mission-critical IT projects. We offer ample career opportunities to hardworking and skilled employees Our Talent Management Program is specifically designed to identify the interests of each employee and match them with suitable career paths within their desired domains, allowing them to make the best possible use of their skillsets in reaching their goals We invest in the knowledge and skill development of our employees with RS School of Payments – the industry’s most comprehensive training platform. There are three main areas of focus that the Academy and School address: current technology skills, professional development and payments domain knowledge Our customized training program, well-defined career mapping process and comprehensive appraisal system is designed to help every employee achieve their goals To address the challenges of relocation, we offer employees coming from other regions reimbursement for expenses associated with their moves as well as complimentary interim facilities, such as guesthouse accommodations, to ease the transition. We also assist employees with finding suitable housing Role Overview: We are seeking a talented and driven Data Scientist to join our team and contribute to the development of advanced analytics solutions, including fraud detection, stream analytics, and predictive modelling. The ideal candidate will have 3-5 years of hands-on experience designing and deploying machine learning models and a passion for uncovering insights from data. In this role, you will collaborate with cross-functional teams, including engineering, product, and data science, to create and optimize data pipelines, develop innovative analytics models, and enhance our understanding of complex patterns in digital payments and beyond. Familiarity with digital payments, fraud detection, Gen AI, and real-time data processing is a strong advantage. Key Responsibilities : Develop and deploy machine learning models for fraud detection, stream analytics, and predictive use cases Create and maintain data pipelines to support machine learning model development Analyse transaction data to identify patterns and deviations that indicate potential fraud Design and implement models to analyse and predict behaviours in the digital payments domain Collaborate with cross-functional teams to streamline user workflows using Generative AI (Gen AI) Develop a comprehensive dashboard for real-time monitoring of fraud patterns and model performance Enhance and maintain the model studio, enabling business users to train and deploy models autonomously Work on end-to-end machine learning pipelines to bring models to production, ensuring scalability and performance Required Skills : Proficiency in SQL for data manipulation and understanding relational database concepts (e.g., MySQL, PostgreSQL) Ability to integrate and consume data using REST APIs, with familiarity in API best practices and testing Skilled in Python for data analysis, machine learning, and API interaction, with experience in libraries like Pandas, NumPy, and Scikit-learn Hands-on experience designing, developing, and deploying machine learning models for fraud detection, stream analytics or predictive use cases Strong proficiency in data analysis, feature engineering, and model optimization techniques Working knowledge of Java and SpringBoot for model integration Strong understanding of digital payment systems, fraud patterns, and risk analysis Experience working with Gen AI to improve workflows and user experiences Ability to work on large datasets and create scalable data pipelines Excellent communication skills and a proactive, problem-solving mindset Ability to work in a collaborative team environment and take initiative on projects Preferred Skills : Exposure to fraud detection algorithms and techniques used in the digital payments industry Experience working with cloud technologies such as AWS. Azure, GCP is not mandatory but a plus Knowledge of data visualization and dashboard tools for reporting model performance If you’re passionate about AI/ML and working on impactful real-time payment systems, we would love to hear from you!

Role: Data Scientist Location: Hyderabad, Telangana, India (Remote for 3 months, then On-site) Compensation: ₹20 LPA - ₹28 LPA Experience Level: 6- 8 Years About Company It is a global leader in AI and machine learning solutions, with a footprint in Mexico, the United States, and India. Our mission is to pioneer business success through next-generation technologies, empowering partners to modernize, scale, and innovate. With an emphasis on innovation, client-centricity, ethical AI development, and continuous learning, we are building foundational teams in Hyderabad to drive our Indian operations—making this a rare opportunity to shape the culture and direction of an AI-first company. Role Overview As a Data Scientist , you will play a critical role in driving data-driven decision-making by extracting actionable insights from complex datasets. You will collaborate cross-functionally with engineers, product managers, and business stakeholders to design and implement scalable machine learning solutions that enhance products and services. Key Responsibilities Analyze large and complex datasets to extract meaningful insights and support business decisions Design, develop, and deploy machine learning models and statistical algorithms Collaborate with engineering and product teams to integrate models into production Develop and maintain data pipelines and model performance monitoring systems Communicate technical concepts and results clearly to non-technical stakeholders Continuously research and implement new tools, techniques, and best practices in data science Required Qualifications Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field Minimum 8 years of relevant experience with a Bachelor's degree, or 6 years with a Master’s degree Proficiency in programming languages such as Python, R, or SQL Hands-on experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn Strong experience with data visualization tools such as Tableau or Power BI Familiarity with cloud platforms like AWS, Azure, or Google Cloud Understanding of big data tools and frameworks (e.g., Hadoop, Spark) Strong analytical, problem-solving, and communication skills Experience working in Agile development environments Preferred Skills (Role-Dependent):- Depending on project requirements, experience in the following technologies is highly desirable: Azure, Microservice Architecture, C#, .NET, SQL PHP, MySQL, JavaScript, Vue.js, HTML Unit testing methodologies OOP/MVC design patterns Docker, Pub/Sub systems, and asynchronous messaging Experience with Linux OS (preferably Ubuntu) MVVM architecture, Angular, Knockout NoSQL databases (e.g., Azure CosmosDB) Hiring Process:- Initial Screening Interview Two Technical Rounds (by the US-based team) Final Evaluation Round Work Culture & Values Innovation & Excellence: Operate at the cutting edge of AI and analytics while driving process and product innovation. Client-Focused Mindset: Every team member directly impacts client partnership and success. Integrity & Responsibility: Uphold the highest standards of ethical conduct and data integrity. Continuous Learning: Regular mentorship, open learning sessions, and support for upskilling. Collaboration: Diverse, international team with transparent communication and a culture of inclusion and support. Additional Details:- First 3 months: Contractual, remote work (anywhere in India) After 3 months: Permanent, on-site in Hyderabad (support provided for relocation, if needed) Unique Opportunity: Contribute to building the foundation of our India operations with direct exposure to international teams and cutting-edge AI product innovation. Skills: python,linux,oop,unit testing methodologies,c#,pytorch,power bi,azure cosmosdb,.net,angular,vue.js,google cloud,microservice architecture,sql,mvvm architecture,scikit-learn,r, python, machine learning, tableau, big data,php,docker,knockout,azure,cloud platforms like aws, azure, or google cloud,spark,tensorflow, pytorch, or scikit-learn,tensorflow,aws,r,mvc design patterns,data scientist,javascript,mysql,big data tools and frameworks (e.g., hadoop, spark),tableau,hadoop,html

Bhubaneswar, India Job Category : Data Scientist Posting Date : 01 January 2024 Job Type : Engineering Years of Experience : 5 Does this position require a security clearance? No Applicants are required to read,write and speak the following languages Hindi/English Additional Info : Job Description Are you seeking your next career advancement? At our company, we present thrilling prospects for skilled professionals in a diverse range of job fields and positions. Come on board with us to create remarkable achievements. We take pride in being the fastest-growing enterprise resource planning platform, attracting new customers to our advanced system for expediting their business processes. Our teams diligently contribute towards our triumph, each with a crucial role to fulfill. Responsibilities Develop and create AI/ML based predictive solutions and enhance or upgrade existing ones. Collaborate and communicate effectively with various teams within Nirmalya. Establish strong partnerships with business representatives to fully grasp their requirements. Engage proficiently with other teams and individuals. Proficient in programming languages like Python. Exceptional verbal and written English communication abilities. Outstanding troubleshooting and problem-solving skills. Possess a curious mindset to tackle exciting new subjects. Display a high level of curiosity, motivation, and eagerness to learn new technologies. Valuable team player with fast learning abilities. Encouraged to contribute own ideas and perspectives openly. Qualifications Bachelor's or higher degree in computer science or a related technical/scientific discipline. Strong analytical skills required, including a thorough understanding of how to interpret customer business needs and translate them into solutions and operational requirements. Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts. Required Skills Proficiency in mathematics, statistics, computer science, or related fields is required. Preferably, expertise in linear algebra, calculus, and statistics. In-depth knowledge of data science and predictive methodologies is essential. Familiarity with agile working methodologies such as SAFe, SCRUM, KANBAN, etc. is advantageous. Capable of managing multiple projects simultaneously. Additional programming skills are highly advantageous (optional). Disclaimer Hiring Range: from 1000000 to 2250000 per annum. May be eligible for bonus and equity. We maintain broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Nirmalya’s differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. About Us Nirmalya's career has the potential to encompass various industries, roles, countries, and cultures, allowing for growth in novel positions and driving innovation, while effectively balancing work and personal life. Nirmalya has achieved success over the years by embracing change, fostering innovation, and consistently upholding ethical principles, thereby delivering exceptional results for leading companies across multiple industries.To foster and support the talents responsible for such accomplishments, our dedication lies in cultivating an inclusive culture that appreciates and embraces diverse insights and perspectives. We strive to create a workforce that inspires thought leadership and sparks innovation, ensuring a thriving environment for all. Nirmalya Employee Benefits are meticulously designed to prioritize equality, reliability, and affordability. Our comprehensive package encompasses essential features such as Medical and Life Insurance, while also granting access to Retirement Planning and more. Additionally, we actively encourage our employees to actively contribute to the well-being of the communities where we operate. We firmly believe that fostering diversity and inclusion lays the foundation for innovation. To shape a brighter tomorrow, we seek talent from diverse backgrounds, embracing a range of perspectives and abilities. We are committed to providing reasonable accommodations to individuals with disabilities throughout the job application, interview, and prospective role stages, thereby enabling them to effectively perform crucial job functions. Our dedication lies in fostering an inclusive workforce that enables every individual to thrive. We believe in the power of diverse perspectives and value every voice, as it is this harmony that propels us to surpass previous achievements. As an Equal Employment Opportunity Employer, Nirmalya ensures that all applicants are treated fairly and without discrimination. We promote equality regardless of race, color, religion, national origin, gender identity, disability, protected veterans’ status, or any other characteristic protected by law. Additionally, Oracle complies with applicable legislation by considering qualified applicants with arrest and conviction records for employment opportunities. Join our team where diversity is celebrated, and everyone's unique contribution is respected. Together, we embrace innovation and strive towards excellence – a testament to our commitment to fostering an inclusive and thriving workplace.

About the Role: We are looking for a Data Scientist with 2–3 years of experience to join our growing Industrial AI team. This role is ideal for someone who has worked on data science projects in the manufacturing, oil & gas, or utilities sector—particularly around asset reliability, predictive maintenance, and failure prediction. Exposure to Gen AI applications (e.g., document intelligence, knowledge retrieval) is highly desirable. You will be responsible for developing and deploying ML/AI solutions that drive operational excellence, reduce unplanned downtime, and improve decision-making using both structured and unstructured data. Key Responsibilities: Develop predictive models to forecast equipment failures, optimize maintenance cycles, and improve asset reliability. Work on time-series sensor data and apply statistical and machine learning techniques for anomaly detection and condition monitoring. Build and deploy Generative AI solutions using open-source and proprietary LLMs to automate insights generation from industrial documents, manuals, and maintenance logs. Collaborate with domain experts, data engineers, and MLOps teams to ensure successful deployment and scaling of AI solutions. Evaluate and fine-tune ML models using real-world production data. Interpret and communicate model results clearly to non-technical stakeholders. Preferred Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field. 2–3 years of hands-on experience in industrial data science or reliability engineering analytics. Strong programming skills in Python and familiarity with ML libraries like scikit-learn, XGBoost, PyTorch/TensorFlow. Experience with time-series analysis, anomaly detection, and survival models. Familiarity with Generative AI concepts and experience using models like GPT, Llama, or Qwen for industrial use cases. Experience with cloud platforms (GCP, AWS, Azure) is a plus. Knowledge of manufacturing/O&G plant data like sensor logs, DCS/SCADA systems, CMMS, etc. is a strong plus. Nice to Have: Experience working with industrial IoT data pipelines. Exposure to visualization tools like Power BI or Plotly Dash for operational dashboards. Prior involvement in AI POCs or production deployments for industrial clients.

Date Opened 07/31/2025 Job Type Full time Industry Research & Development Work Experience 4-5 years Salary 3-5 LPA City Mohali State/Province Punjab Country India Zip/Postal Code 160055 We are looking for a skilled and analytical Data Scientist to join our onsite team in Mohali. This role requires proven experience in applying data science and machine learning techniques to solve real-world problems, with a strong emphasis on medical imaging, predictive modeling, and unstructured data processing. The ideal candidate will work on developing intelligent AI-driven systems by analyzing complex datasets, building scalable models, and generating actionable insights to support critical decision-making across domains like healthcare, aviation, fintech and enterprise operations. Responsibilities: Data Analysis & Feature Engineering: Collect, clean, and transform structured and unstructured datasets. Perform feature engineering and exploratory data analysis to derive meaningful insights. Model Development: Build and deploy machine learning models for classification, regression, clustering, and anomaly detection using libraries such as scikit-learn, PyTorch, and TensorFlow. Medical Imaging: Apply computer vision and deep learning methods for processing DICOM and NIfTI imaging data, using tools like MONAI, TotalSegmentator, and nnU-Net. NLP & Unstructured Data: Implement natural language processing techniques for extracting insights from clinical texts, EMRs, and other unstructured data sources. Data Visualization: Communicate results through dashboards and visualizations using tools such as Tableau, Plotly, or Power BI. AI Integration: Collaborate with engineering and product teams to integrate AI modules into full-stack applications and real-time systems. Experimentation: Design, run, and analyze A/B tests and other experimental frameworks to evaluate model and product effectiveness. Model Monitoring: Monitor model performance post-deployment, retrain models when needed, and maintain ML pipelines using versioning and tracking tools like MLflow or DVC. Solution Design: Propose data-driven strategies and solutions to business challenges through quantitative modeling and forecasting. Continuous Learning: Stay updated with the latest trends in AI, machine learning, and data science, and apply new techniques to production workflows. Medical Ima ging Knowledge: Experience working with medical datasets (CT, MRI, X-ray), understanding of imaging formats (DICOM/ NIfTI), nanonet and use of medical imaging libraries. (Optional skill) Experience : 2-5 years (data science or ML engineering role) Qualification : Bachelor’s or Master’s degree in Computer Science Interested candidates apply now:

We are seeking an experienced Data Scientist (4-7 years) to build and optimize AI models that power our next-generation agentic AI systems. You will work on designing, deploying, and scaling AI-driven solutions that adapt, learn, and operate autonomously. The ideal candidate is adept at handling large-scale data, developing ML pipelines, and provisioning AI models for self-hosted and cloud-based environments. Responsibilities: Develop and optimize machine learning models for agentic AI applications, including autonomous decision-making, reasoning, and planning. Design and implement scalable ML pipelines for real-time and batch inference, supporting high-performance AI workloads. Work with MLOps and engineering teams to deploy self-hosted AI models efficiently, ensuring optimized inference and minimal latency. Utilize distributed training techniques (e. g., Horovod, DeepSpeed) to enhance model scalability across multi-GPU or multi-node environments. Implement model fine-tuning, prompt engineering, and continuous learning systems to improve AI adaptability. Conduct rigorous model evaluation, including accuracy, fairness, and performance benchmarking. Stay updated with advancements in LLMs, reinforcement learning, and deep learning techniques relevant to agentic AI. Requirements: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. 4-7 years of experience in applied machine learning, AI model development, or data science roles. Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or JAX. Experience in developing, training, and deploying LLMs and transformer-based models. Strong knowledge of distributed computing frameworks for AI scalability (e. g., Kubernetes, Ray, Horovod, DeepSpeed). Hands-on experience in model optimization, quantization, and inference acceleration. Expertise in self-hosted AI model provisioning, cloud/on-premise AI infrastructure, and containerization (Docker, Kubernetes). Familiarity with reinforcement learning, autonomous systems, or decision intelligence is a plus. Preferred Skills: Experience with retrieval-augmented generation (RAG), fine-tuning, and knowledge distillation for AI models. Strong understanding of prompt engineering, embeddings, and vector search (FAISS, Pinecone, Weaviate). Background in working with large-scale datasets, including data pipelines, feature engineering, and model monitoring. Familiarity with AI observability and monitoring frameworks for model performance tracking.

Job Title: Data Scientist Experience: 6+ years Location: Remote Job Type: Full-Time Key Responsibilities: Develop advanced MMM (Media Mixed Modeling) and MTA (Multi-touch Attribution) models to optimize marketing and advertising strategies Analyze large volumes of structured and unstructured data to uncover trends, correlations, and actionable insights Build and deploy machine learning models and predictive algorithms to solve complex business problems Gather data from diverse sources, clean and transform it for analysis Apply statistical techniques to validate models and ensure accuracy and reliability Automate analytical workflows and repetitive tasks using AI tools and scripting languages Create compelling visualizations, dashboards, and reports to communicate insights across teams Collaborate with cross-functional teams including AdSales, Data Engineering, and Analytics Stay updated on the latest developments in AI, machine learning, and media analytics. Required Skills & Experience: 6+ years of experience in data science, analytics, or machine learning roles At least 3 years of experience in AdTech or AdSales systems Hands-on experience in developing MMM and MTA models Strong understanding of OTT, digital media, and advertising ecosystems Proficiency in programming languages like Python, R, or SQL for data manipulation and modeling Experience working with large datasets, data pipelines, and BI/reporting tools Familiarity with statistical methods, experiment design, and model evaluation metrics Excellent problem-solving, communication, and stakeholder management skills

Dear Aspirant , Greetings from TCS ! TCS presents excellent opportunity for Data Scientist/ML Engineer Exp: 8 - 16 Years Job Location: Chennai / Hyderabad / Mumbai Programming - Python, Machine Learning, Data wrangling , Strong Statistical & Mathematical skills Hands-on experience in GenAI (LLMs, Prompting & RAG) based solutions Hands-on experience in handling various storages – RDBMs, Vector DB, File storage & Cloud storages services [ Azure or AWS or GCP ] Strong knowledge in Data Engineering – Extraction, Pre-processing and managing various types of data (structured, semi & un-structured data) Regards, Sai Lokesh S

About PhonePe Limited: Headquartered in India, its flagship product, the PhonePe digital payments app, was launched in Aug 2016. As of April 2025, PhonePe has over 60 Crore (600 Million) registered users and a digital payments acceptance network spread across over 4 Crore (40+ million) merchants. PhonePe also processes over 33 Crore (330+ Million) transactions daily with an Annualized Total Payment Value (TPV) of over INR 150 lakh crore. PhonePe’s portfolio of businesses includes the distribution of financial products (Insurance, Lending, and Wealth) as well as new consumer tech businesses (Pincode - hyperlocal e-commerce and Indus AppStore Localized App Store for the Android ecosystem) in India, which are aligned with the company’s vision to offer every Indian an equal opportunity to accelerate their progress by unlocking the flow of money and access to services. Culture: At PhonePe, we go the extra mile to make sure you can bring your best self to work, Everyday!. And that starts with creating the right environment for you. We empower people and trust them to do the right thing. Here, you own your work from start to finish, right from day one. PhonePe-rs solve complex problems and execute quickly; often building frameworks from scratch. If you’re excited by the idea of building platforms that touch millions, ideating with some of the best minds in the country and executing on your dreams with purpose and speed, join us! Job Description: We are looking for an experienced Data Scientist with 6+ years of experience to join our team and drive impactful data-driven solutions. The ideal candidate will possess deep expertise in machine learning, statistical modeling, and big data processing, along with a proven ability to work with cross-functional teams and effectively communicate insights to stakeholders. This role requires a strategic mindset, strong leadership, and the ability to translate complex data problems into actionable business insights. Key Responsibilities: Lead and drive the development of advanced machine learning models to solve high-impact business challenges. Collaborate with stakeholders (business leaders, product managers, engineering teams) to identify opportunities where data science can add business value. Embed yourself with business to understand the strategy and propose data solutions to accelerate outcomes. Design and implement scalable data pipelines and real-time analytics solutions. Guide and mentor data scientists, fostering a culture of innovation and best practices. Conduct deep-dive analyses to extract meaningful insights from complex and large datasets. Ensure machine learning models are explainable, reproducible, and aligned with business objectives. Present findings and recommendations to key stakeholders in a clear and actionable manner. Work closely with engineering teams to deploy ML models into production environments at scale. Own end-to-end model lifecycle management, including data preprocessing, feature engineering, model training, validation, and monitoring. Required Qualifications: Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field (Ph.D. preferred but not mandatory). 6+ years of experience in data science, machine learning, or applied statistics. Experience in financial services, fintech, e-commerce, or similar data-driven industries . Strong expertise in Python, SQL with proficiency in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn. Solid understanding of big data technologies (Spark, PySpark, Hadoop, or similar). Hands-on experience in model deployment using cloud platforms (AWS, GCP, Azure) and ML Ops frameworks (MLflow, Kubeflow, etc.). Expertise in statistical modeling, predictive analytics . Experience working with real-time and batch-processing systems . Demonstrated ability to translate business problems into data science solutions . Excellent problem-solving, critical-thinking, and analytical skills. Strong communication and stakeholder management skills , with the ability to explain technical concepts to non-technical audiences. Preferred Qualifications: Experience in financial services, fintech, e-commerce, or similar data-driven industries . PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles) Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy Our inclusive culture promotes individual expression, creativity, innovation, and achievement and in turn helps us better understand and serve our customers. We see ourselves as a place for intellectual curiosity, ideas and debates, where diverse perspectives lead to deeper understanding and better quality results. PhonePe is an equal opportunity employer and is committed to treating all its employees and job applicants equally; regardless of gender, sexual preference, religion, race, color or disability. If you have a disability or special need that requires assistance or reasonable accommodation, during the application and hiring process, including support for the interview or onboarding process, please fill out this form. Read more about PhonePe on our blog .

Education & Experience Bachelors or masters degree in a quantitative field (e.g., Analytics, Statistics, Mathematics, Economics, Engineering) or equivalent industry experience. Analytical Expertise 5+ years in an analytical role with a proven record as a data scientist, or applied ML. Strong knowledge of data matching, record linkage, or entity resolution techniques. Comfortable performing statistical validation of models or rule-based outputs (e.g., sampling strategies, calculating Skills : Proficiency in databases, spreadsheets, and statistical tools, with advanced expertise in SQL, Python, data mining, and BigQuery analytics (Google Cloud). Data Storytelling Ability to synthesize complex data into clear, actionable insights and compelling narratives. Large-Scale Data Handling Experience working with large, multi-dimensional datasets and solving complex analytical : Strong analytical and problem-solving abilities, with the capability to translate findings into actionable recommendations. Industry Knowledge (Preferred) Experience in payments, eCommerce, or financial services is a plus. Experience designing or maintaining rule-based systems (fuzzy matching, regex, lookup tables, etc. Familiarity with MDM tools/platforms or prior experience with master data & Insights (Preferred) : Extensive experience in designing, executing, and analyzing experiments for product and feature launches. Communication & Influence Strong written and verbal communication skills, with the ability to distill complex concepts into clear, persuasive insights (ref:hirist.tech)

Responsibilities Lead research and development initiatives in the areas of computer vision, image analysis, and machine learning, driving the conceptualization and creation of new data-driven product features and capabilities. Apply expertise in advanced image analysis and computer vision techniques to extract meaningful insights and solve complex real-world problems from visual data. Design, develop, and implement robust Machine Learning Models and Neural Networks for a variety of data science applications, from prototyping to production deployment. Develop and optimize data-driven solutions for image classification, object detection, and anomaly detection within large datasets. Utilize knowledge of image forensics to develop analytical frameworks and tools for data integrity and authenticity. Drive the development of refined algorithms through an iterative process of defining, testing, and optimizing data processing and analytical algorithms to improve their performance, scalability, readability, and simplicity for real-world applications. Collaborate closely with engineering and product teams to integrate data science models and insights into production software products. Mentor junior data scientists and contribute to best practices in data science, machine learning, and algorithm : Engineering Graduate (B.Tech) with a specialization in Computer Science from a recognized university. Post Graduate (M.Tech) in AI, ML, Data Science, or related fields is strongly preferred. Minimum of 15 years of hands-on experience as a Data Scientist or in a closely related role, with a proven track record of developing and deploying data science solutions within software products. This experience should specifically encompass advanced image analysis, computer vision techniques, machine learning models and neural networks, image forensics, and the development of refined algorithms. (ref:hirist.tech)

As a part-time Data Scientist with over 4 years of experience, you will be responsible for building the Machine Learning foundation for a high-velocity US-focused startup. The position offers approximately 3 months of work initially, with the potential for a full-time role requiring 12 hours per week. It is important to note that Data Analytics is distinguished from Data Science. Inveno, a New York City-based startup, aims to automate the manual resource planning processes that occur daily at warehouses across the United States. The current problem being addressed is the reliance of 75% of US warehouses on manual shift planning, leading to inefficiencies amounting to over $1 million per warehouse annually. By utilizing operational data and developing custom AI and optimization models, Inveno seeks to assist warehouse managers in planning with precision, speed, and scalability. The founding team behind Inveno consists of a warehouse operations expert with 8 years of experience, a CEO with a successful track record of building and exiting companies, and a CTO experienced in scaling engineering and systems across various ventures globally. The company has made significant progress, with the V1 product set to go live with the first client in 2 months. Inveno has also secured a paid contract with a global multi-brand conglomerate and has a promising pipeline with some of the largest retailers in the US. As a Data Scientist in this role, you will be responsible for leading the development of the optimizer, building machine learning models, collaborating on the LLM interaction layer, and establishing MLOps best practices. Key responsibilities include architecting and implementing core optimization engines, creating supervised learning models, designing workflows, and setting up model versioning and deployment pipelines. Qualifications and skills required for this position include experience in designing and deploying constraint-based optimization models, advanced Python skills, a strong foundation in supervised machine learning, the ability to translate complex operational problems into solvable models, and a degree in Computer Science, Operations Research, Statistics, or a related quantitative field.,

Job Requirements 6+ years of experience on Python Exploratory Data analysis Training, testing and deployment of Machine Learning and Deep Learning models Analyzing Times Series data and event data from Experion DCS Experience with Azure workspace/Jupyter notebooks would be helpful. Education: BE