3292 Data Scientist Jobs - Page 2

You'll be Responsible for: Design, develop and implement cutting-edge AI/ML solutions, including Large Language Models (LLMs) and Generative AI applications Lead projects end-to-end while mentoring team members in AI-ML, including traditional ML and emerging AI technologies Drive innovation in AI agent development and orchestration for automated decision-making systems Establish best practices for responsible AI development and deployment What you'd have: AI-ML Engineer or Data Scientist with 3 11 years of relevant experience Strong expertise in modern AI frameworks and tools: ML/DL frameworks (TensorFlow, PyTorch, Keras, Sklearn) LLM frameworks (LangChain, LlamaIndex, CrewAI, AutoGen) Vector databases (Pinecone, Weaviate, ChromaDB) Good To Have Hands-on experience with: Generative AI and foundation models Prompt engineering and LLM fine-tuning AI agent development and orchestration RAG (Retrieval-Augmented Generation) systems Proven experience in data preparation, including: Advanced data preprocessing techniques Feature engineering Data quality assessment and improvement Proficiency in data exploration tools (Pandas, Numpy, Polars) Strong programming skills in Python; R is a plus Deep understanding of: Statistics and probability ML/DL algorithms AI governance and responsible AI practices Experience with: Large-scale data processing Model deployment and MLOps Cost optimization for AI systems Track record of 3-5 successful AI/ML projects in production Excellent communication skills and team leadership ability Continuous learning mindset for emerging AI technologies Skills: Statistics and Mathematics Classical Machine Learning Deep Learning and Neural Networks Generative AI and LLMs Agentic AI Development MLOps and Production Engineering Data Engineering Model Optimization and Tuning AI Governance and Ethics Team Leadership Why join us? Impactful Work: Drive innovation in AI technologies while safeguarding Tanla's assets, data, and reputation Growth Opportunities: Be part of a rapidly growing company in the telecom and CPaaS space, with clear paths for professional advancement Innovative Environment: Work with a world-class team on cutting-edge AI technologies in a challenging and collaborative environment Research Opportunities: Contribute to the advancement of GenAI and Agentic AI technologies Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive environment for all employees. www.tanla.com

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.

Lead Data Scientist Location: Pune About Palmonas Palmonas is reimagining everyday jewelry. From demi-fine to lab-grown diamonds and beyond, we are building India’s first scaled omni-channel jewelry brand that blends design, data, and technology to deliver elevated beauty and confidence to women across the globe. Backed by marquee investors and growing rapidly across online, marketplaces, quick commerce, and retail, Palmonas is now building a data-first organization . We are looking for a Data Scientist to join our leadership team and build the data backbone that powers decision-making, personalization, and growth. Why this role is unique You’ll be the first data scientist at Palmonas, setting up the vision, frameworks, and culture for data science. High-impact problems - Work across demand forecasting, pricing optimization, channel economics, personalization, fraud detection, inventory optimization, and customer experience. Leadership track - Build and lead the data science team as we scale. Key Responsibilities Data Strategy & Infrastructure Partner with Founders & leadership to define the company-wide data roadmap. Set up the foundations for data pipelines, warehousing, and analytics in collaboration with engineering. Advanced Analytics & Modeling Build models for inventory optimization, demand forecasting, pricing, personalization, and recommendation engines . Create customer lifetime value (CLV) models, cohort analytics, and churn prediction frameworks. Decision Intelligence Translate business problems (supply chain, marketing, product, retail) into data models. Provide actionable insights to leadership for strategic planning (channel mix, expansion, contribution margin improvement). Experimentation & Causality Design A/B testing and causal inference frameworks to evaluate product, marketing, and pricing decisions. Leadership & Team Building Hire, mentor, and lead the future data science and analytics team. Build cross-functional processes to embed data into every decision. What We’re Looking For Education: Strong academic background in Computer Science, Statistics, Applied Mathematics, Data Science, or related field. Advanced degree preferred. Experience: 5–8+ years of applied data science in high-growth environments (e.g., consumer internet, e-commerce, fintech, retail). Technical Skills: Expertise in Python/R, SQL, ML libraries (scikit-learn, TensorFlow, PyTorch). Strong knowledge of statistical modeling, optimization, time-series forecasting, and recommender systems. Familiarity with modern data stack a plus. Business Acumen: Proven track record of translating business problems into scalable data solutions. Exposure to retail, inventory, or consumer commerce domains is a big plus. Leadership: Demonstrated ability to work cross-functionally and build/lead teams from scratch. Mindset: Entrepreneurial, and impact-driven – excited by the challenge of building India’s first data-first jewelry brand.

About the Role: We are seeking a highly experienced Voice AI /ML Engineer to lead the design and deployment of real-time voice intelligence systems. This role focuses on ASR, TTS, speaker diarization, wake word detection, and building production-grade modular audio processing pipelines to power next-generation contact center solutions, intelligent voice agents, and telecom-grade audio systems. You will work at the intersection of deep learning, streaming infrastructure, and speech/NLP technology, creating scalable, low-latency systems across diverse audio formats and real-world applications. Key Responsibilities: Voice & Audio Intelligence: Build, fine-tune, and deploy ASR models (e.g., Whisper, wav2vec2.0, Conformer) for real-time transcription. Develop and finetune high-quality TTS systems using VITS, Tacotron, FastSpeech for lifelike voice generation and cloning. Implement speaker diarization for segmenting and identifying speakers in multi-party conversations using embeddings (x-vectors/d-vectors) and clustering (AHC, VBx, spectral clustering). Design robust wake word detection models with ultra-low latency and high accuracy in noisy conditions. Real-Time Audio Streaming & Voice Agent Infrastructure: Architect bi-directional real-time audio streaming pipelines using WebSocket, gRPC, Twilio Media Streams, or WebRTC. Integrate voice AI models into live voice agent solutions, IVR automation, and AI contact center platforms. Optimize for latency, concurrency, and continuous audio streaming with context buffering and voice activity detection (VAD). Build scalable microservices to process, decode, encode, and stream audio across common codecs (e.g., PCM, Opus, -law, AAC, MP3) and containers (e.g., WAV, MP4). Deep Learning & NLP Architecture: Utilize transformers, encoder-decoder models, GANs, VAEs, and diffusion models, for speech and language tasks. Implement end-to-end pipelines including text normalization, G2P mapping, NLP intent extraction, and emotion/prosody control. Fine-tune pre-trained language models for integration with voice-based user interfaces. Modular System Development: Build reusable, plug-and-play modules for ASR, TTS, diarization, codecs, streaming inference, and data augmentation. Design APIs and interfaces for orchestrating voice tasks across multi-stage pipelines with format conversions and buffering. Develop performance benchmarks and optimize for CPU/GPU, memory footprint, and real-time constraints. Engineering & Deployment: Writing robust, modular, and efficient Python code Experience with Docker, Kubernetes, cloud deployment (AWS, Azure, GCP) Optimize models for real-time inference using ONNX, TorchScript, and CUDA, including quantization, context-aware inference, model caching. On device voice model deployment. Why join us? Impactful Work: Play a pivotal role in safeguarding Tanla's assets, data, and reputation in the industry. Tremendous Growth Opportunities: Be part of a rapidly growing company in the telecom and CPaaS space, with opportunities for professional development. Innovative Environment: Work alongside a world-class team in a challenging and fun environment, where innovation is celebrated. Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive environment for all employees. www.tanla.com

Title and Summary Lead, Data Scientist Our Purpose We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team one that makes better decisions, drives innovation and delivers better business results. Job Title: Data Scientist (Credit Risk), Advanced Analytics Job Description Summary Overview Advanced Analytics drives AI-based solutions and products at a globally scalable level across the different customer lifecycle stages, credit risk management and strategic analytics. Our Credit Risk management area serves as a key differentiator to optimize and grow revenue from consumers and small businesses for Mastercard. To this end, developing and manging a suite of product solutions through internal and external partnerships, creative constructs, application of AI-based solutions, solid frameworks and executable roadmaps are crucial drivers for commercialization and business impact. This role is for a Lead Data Scientist that will work across Product, Client Services & Delivery, Data & Engineering and the broader teams, to deliver truly differentiated Credit products, leveraging rich data resources, AI platform capabilities and near real-time execution. The Global Credit Risk Product team is executing on an exciting consumer capability initiative and this role is central in that vision, from concept, technical design to market release and optimization. This role is positioned to drive new ideas forward by combining creative thought leadership with innovation and industry best practices. By entering in the early phase of a truly transformative and impactful strategic initiative, the experience is certain to be rewarding. This role will report into the Vice President of Data Science & AI within Advanced Analytics. The successful candidates primary responsibilities will be to: - Drive the evolution of Advanced Analytics products with an impact focused on data science and engineering - Participate in the exploration, application and development of data science for product development - Participate in identification and evaluation of AI/ML techniques and tools to deliver models and analytics for product development - Continuously innovate and determine new data science approaches & technologies to solve business problems and generate business insights & recommendations - Partner with roles across the organization including product, engineering, and sales to determine the highest priority data science problems to solve in a customer-centric framework - Evaluate trade-offs between many possible analytics solutions to a problem, taking into account performance, usability, technical feasibility, timelines, and differing stakeholder opinions to make a decision - Break large solutions into smaller, releasable milestones to collect data and feedback from product managers, clients and other stakeholders - Evangelize releases to users, incorporating feedback, and tracking usage to inform future development - Work with small, cross-functional teams to define vision, establish team culture and processes - Consistently focus on key drivers of organization value and prioritize operational activities accordingly - Identify and act upon product improvement opportunities - Provide technical leadership of junior colleagues as a senior member of the data science team, through technical and non-technical mentoring This role requires the successful candidate to have the following: - Prior experience in working in a data science product development role - Strong hands-on experience in Advanced Analytics, Machine Learning, Deep Learning, Advanced Statistics etc. - High proficiency in Python, Spark, SQL, R and be able to navigate across multiple languages - Preferably with hands-on experience with Hadoop big data tools (Hive, Impala, Spark) or Databricks - Demonstrated quantitative and problem-solving abilities including application to real business problems - Strong project management skills and ability to meet business deadlines and execution - Motivated, flexible, self-directed, and desire to lead small project teams as applicable - Curiosity, creativity, and excitement for technology and innovation and outside-in perspectives - Ability to multi-task and strong attention to detail including data utilized, methodology, results and validation - Outstanding communication and organizational skills - Masters preferred in Quantitative discipline like Physical Sciences, Mathematics, Statistics, Economics, Engineering etc. - 7-10 years of experience in Data Science function supporting Products

Role & responsibilities Analyze large and complex data sets to identify patterns, trends, and actionable insights using AI techniques. Develop and implement AI models, including machine learning, deep learning, and natural language processing algorithms, to address client-specific challenges. Design, develop, test, and deploy scalable AI solutions in production environments (a plus) Collaborate with cross-functional teams, including consultants and industry experts, to understand client needs and deliver AI-driven solute Communicate findings and insights effectively to both technical and non-technical stakeholders. Must Have Requirements - Statistical Knowledge - Good communication skills - Coding Skills in Python, SQL - Knowledge on GenAi - PowerBI Tableu - Good Communication - Hands on testing, coding, API Overall Skills Needed - Statistical and data mining techniques (regression, decision trees, clustering, neural networks, etc.) - Experience in working with large datasets and relational databases (SQL) - Knowledge of additional programming languages (Python, C++, Java) - Distinctive communications skills - Ability to communicate analytical and technical content in an easy to understand way - Intellectual curiosity - Excellent problem-solving and quantitative skills - Ability to disaggregate issues, identify root causes and recommend solutions - Proven leadership skills - Ability to inspire others, build strong relationships, and create a true followership - Result-driven achievers - Strong people skills - Team-orientation - Professional attitude Key Responsibilities & Outcomes - Analyze large and complex data sets to identify patterns, trends, and actionable insights using AI techniques - Develop and implement AI models, including machine learning, deep learning, and natural language processing algorithms, to address client-specific challenges - Design, develop, test, and deploy scalable AI solutions in production environments (a plus) - Collaborate with cross-functional teams, including consultants and industry experts, to understand client needs and deliver AI-driven solutions - Communicate findings and insights effectively to both technical and non-technical stakeholders Scale of Operations 8-10 years (try at least 5 years relevant) AI/ML Expertise: KNN, SVM, Random Forest, XGBoost, Recommender Systems, LSTMs, Neural Networks, NLP. 6 months -1 year on Generative AI & Agentic AI: LangChain, OpenAI models, prompt engineering, RAG pipelines. More on traditional machine learning with cloud aws exposure Understanding of statistics, Ex Data distributions, Data drift, and hypothesis testing Experience in production level ML solutions. Ex – GIT, Modular coding and ML Pipelines Good communication skills Hands on Python Coding Preferred candidate profile

Job Position :Principal Data Scientist / Sr Data Scientists /Data Scientist / Jr. Data Scientist / Data Science Intern / Machine Learning Engineer-Global Tech AI Health Startup. Joining : Immediately. Job Location : Delhi NCR, India.Global HQ, Benovymed Global Technology Development and Innovation Center & Benovymed Global R and D, and AI Health Innovation Center in Delhi NCR. Job Role Responsibility Description :We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare.Required Skillsets :- Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers.- Need to be able to communicate their findings, orally and visually.- Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.-- Need to have a natural desire to go beneath the surface of a problem.- Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown.- Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming.- Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch.In addition the need to be familiar with disciplines as follows :- Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing.Data scientists should have at least some of the following capabilities :- Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment.- Being able to develop or program databases.- Having a good understanding of design & architecture principles. Qualification : B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT. Mandatory Requirement :Experience :- Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist.- Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems. CTC :- Best Package in Industry.- Terms & Conditions Apply as per our organization.- To deserving eligible candidates only, the company Equity / ESOP may be given also as a part of a Package for a long-term career opportunity.- Apply with your CV with passport size photo, & current CTC, expected CTC, Notice Period, Project details & cover letter.

Job Title: Data Scientist Location: Bangalore (Onsite – Day 1 Reporting) Budget: 13 – 16 LPA Experience: 4 – 7 years total | 4+ years relevant in Data Science Responsibilities Apply statistical analysis, machine learning, and predictive modeling to develop business-driven solutions. Build and optimize models for classification, regression, and causal inference. Work with supervised learning methods including XGBoost, Ridge, ElasticNet, and Neural Networks. Design and implement predictive analytics models for real-world use cases. Apply causal inference and optimization techniques to derive actionable insights. Collaborate with cross-functional teams (data engineers, business analysts, stakeholders) to integrate models into production systems. Perform model validation, performance evaluation, and tuning to ensure scalability and accuracy. Communicate findings and insights effectively to both technical and non-technical stakeholders. Qualifications 4 – 7 years total experience in Data Science. 4+ years relevant experience in Data Science. Required Skills Strong knowledge in Machine Learning & Predictive Analytics. Hands-on experience with models: XGBoost, Ridge Regression, ElasticNet, Neural Networks. Expertise in causal inference and optimization methodologies. Proficiency in Python/R for statistical modeling and data manipulation. Experience with SQL and working with large datasets. Solid understanding of statistical concepts, data visualization, and feature engineering. Preferred Skills Exposure to cloud-based ML platforms (AWS, Azure, GCP). Knowledge of MLOps and deployment of models into production. Familiarity with Big Data tools (Spark, Hadoop).

Role: Data Scientist Experience: 3-6 Years4 Location: HYD (WFO) Mandatory Skills: Python, Machine Learning Frameworks(e.g., TensorFlow, PyTorch is a plus), SQL, data visualization tools. JD: Role Overview: We are looking for a skilled Data Scientist with3 –6 years of experience who can turn data into actionable insights using machine learning, statistical analysis, and data modeling techniques. The candidate will work closely with cross-functional teams to solve business problems using data and analytics. This is an onsite role in Hyderabad with working hours from 2:00 PM to 11:00 PM IST. Key Responsibilities: Analyze large datasets to extract insights, build predictive models, and support data-driven decisions. Design and implement machine learning algorithms for classification, regression, clustering, and recommendation systems. Work with structured and unstructured data, performing data cleaning, preprocessing, and feature engineering. Present findings clearly using data visualizations and dashboards (e.g., Power BI, Tableau, or Matplotlib/Seaborn). Collaborate with engineering and product teams to deploy models into production. Continuously improve models based on performance metrics and feedback. Required Skills & Qualifications: 3–6 years of experience in data science, analytics, or applied machine learning. Strong programming skills in Python (pandas, scikit-learn, NumPy, etc.). Experience with machine learning frameworks (e.g., TensorFlow, PyTorch is a plus). Proficient in working with SQL and relational databases. Experience in data visualization tools like Tableau, Power BI, or libraries like Plotly/Matplotlib. Understanding of statistical techniques and hypothesis testing. Experience with cloud platforms (AWS/GCP/Azure) is a plus. Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or related field. Other Details: Work Location: Hyderabad (Onsite only) Working Hours: 2:00 PM – 11:00 PM IST Remote Option: Not available

Summary As a Data Scientist you will build and deploy data-driven solutions to support business goals. You will use your skills in data analytics, machine learning (supervised and unsupervised) and GenAI, to translate complex data into actionable insights. As a data scientist you will work closely with cross-functional team of data engineers, product owners, Devops and bridge the gap between technical implementation and business needs. Responsibilities (Other duties may be assigned. )Experiment and feature engineer with data to design and build machine/deep learning models with appropriate precision, recall, F1 scores to meet the use case nee dPrompt enginee r to develop new and enhance existing Gen-AI applications. (Chatbots, RAG) .Develop and implement advanced AI agents capable of performing autonomous tasks, decision-making, and executing requirement-specific workflows .Document and create experiment reports on the implementation and code in a way that is clear and accessible to both technical and non-technical team members .Perform advanced data analysis, manipulation, and cleansing to extract actionable insights from structured and unstructured data .Create scalable and efficient recommendation systems that enhance user personalization and engagement .Effectively communicate technical solutions and findings to both technical and non-technical stakeholders .Design and deploy AI-driven chatbots and virtual assistants, focusing on natural language understanding and contextual relevance .Implement and optimize supervised and unsupervised learning models for NLP tasks, including text classification, sentiment analysis, and language generation .Explore, understand, and develop state-of-the-art technologies for AI agents, integrating them with broader enterprise systems .Collaborate with cross-functional teams to gather business requirements and deliver AI-driven solutions tailored to specific use cases .Automate workflows using advanced AI tools and frameworks to increase efficiency and reduce manual interventions .Stay informed about cutting-edge advancements in AI, machine learning, NLP, and Gen AI applications, and assess their relevance to the organization . Education and/or experienc e:At least 5 years of experience working with data sciences. Preferably with a bachelors (OR Master) degree in Computer Science, Data Science, or Artificial Intelligenc e. Knowledge Skills and Abiliti es:Strong understanding of mathematics including vector algebra and probability theory for understanding and explaining machine learning (discriminative and generative) mode ls.Strong expertise in data analytics, pattern recognition, machine learning, including predictive modeling and recommendation syste ms.Excellent communication & documentation skills to articulate complex ideas to diverse audienc es.Hands-on experience with large datasets and using distributed systems for analytics and modelli ng.Advanced understanding of natural language processing (NLP) techniques and tools, including transformers like BERT, GPT, or similar models including open-source LL Ms.Strong knowledge of cloud platforms (AWS) for deploying and scaling AI mode ls.Proficiency with code versioning platforms like CodeCommit and GitH ub. Technical Ski lls:Python proficiency and hands-on experience with libraries like (Pandas, Dask, Numpy, Matplotlib, NLTK, Sklearn, Pytorch and Tensorfl ow).Experience in prompt engineering for AI models to enhance functionality and adaptabil ity.Familiarity with AI agent frameworks like LangChain, OpenAI APIs, or other agent-building to ols.Advanced skills in Relational databases [Postgres], Vector Database, querying, analytics, semantic search, and data manipulat ion.Strong problem-solving and critical-thinking skills, with the ability to handle complex technical challen ges.Hands-on experience working with API frameworks like Flask, FastAPI, etc.Proficiency with code versioning platforms like CodeCommit and Git Hub. Prefe rred:Hands-on experience building and deploying conversational AI, chatbots, and virtual assist ants.Familiarity with MLOps pipelines and CI/CD for AI/ML workf lows.Experience with reinforcement learning or multi-agent sys tems. Language SkillsAbility to speak the English language proficiently, both verbally and in wr iting. Work Envir onment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential fun ctions. Employee works primarily in a home office envi ronment.The home office must be a well-defined work area, separate from normal domestic activity and complete with all essential technology including, but not limited to; separate phone, scanner, printer, computer, etc. as required in order to effectively perform their duties.Compliance with all relevant FINEOS Global policies and procedures related to Quality, Security, Safety, Business Continuity, and Environmental systems.Travel and fieldwork, including international travel may be required. Therefore, employee must possess, or be able to acquire a valid p assport.Must be legally eligible to work in the country in which you ar e hired. FINEOS is an Equal Opportunity Employer. FINEOS does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and busin ess need.

Role: Data Scientist Location: India (Remote) About Lingaro: Lingaro Group is the end-to-end data services partner to global brands and enterprises. We lead our clients through their data journey, from strategy through development to operations and adoption, helping them to realize the full value of their data. Since 2008, Lingaro has been recognized by clients and global research and advisory firms for innovation, technology excellence, and the consistent delivery of highest-quality data services. Our commitment to data excellence has created an environment that attracts the brightest global data talent to our team. About DS/AI Competency Center: Focuses on leveraging data, analytics, and artificial intelligence (AI) technologies to extract insights, build predictive models, and develop AI powered solutions. Utilizes Exploratory Data Analysis, Statistical Modeling and Machine Learning, Model Deployment, and Integration as well as Model Monitoring and Maintenance. Delivers business solutions using multiple AI techniques and tools. Website: https://lingarogroup.com/ Requirements: Must Have: 5+ years of relevant professional experience, including 2+ of DS/Operations Research experience. Experience in optimization methodologies, including use of various optimization libraries (e.g. CPLEX, Gurobi, ortools, etc.). Strong Python coding skills (including Object oriented programming concepts), including using ML libraries and basic working knowledge of SQL Experience working in cloud technologies (preferred MS Azure, GCP nice-to-have). Familiarity with theory behind various machine learning concepts Experience in CRISP-DM projects delivery and with Agile project (like Scrum, Kanban). Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation, hypothesis testing and model deployment. Experience in working with client-facing role. Able to apply independent research, gather information, and give recommendation how to solve problems of diverse scope. Great communication skills. Nice to have: Other programming languages knowledge e.g., SQL, R Experience working in Spark (PySpark) Experience in working in other IT roles (Data Engineer, AI Engineer, Business Intelligence-related) is welcomed Understanding and experience in applying Data Science/Machine Learning methods to Supply Chain (Manufacturing, Transportation, Warehousing, Inventory or Sustainability) Strong statistical/mathematical background Experience in working in matrix organization Tasks: Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment of solutions – following CRISP-DM methodologies. Understanding of optimization methodologies including linear/integer/nonlinear programming and heuristics for finding the best solution to the business problem. Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, hypothesis testing, transforming findings into tasks, Proactive approach for areas where improvement is needed, like suggestions of improving existing pipelines (tests, support, and improvements) Creation and following of standards to improve competency quality. Know-how and experience from projects in Supply Chain area, or optimization projects is a plus Why join us: Stable employment. On the market since 2008, 2000+ talents currently on board in 7+ global sites. 100% remote. Flexibility regarding working hours. Full-time position Comprehensive online onboarding program with a “Buddy” from day 1. Cooperation with top-tier engineers and experts. Unlimited access to the Udemy learning platform from day 1. Certificate training programs. Lingarians earn 500+ technology certificates yearly. Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly. Grow as we grow as a company. 76% of our managers are internal promotions. A diverse, inclusive, and values-driven community. Autonomy to choose the way you work. We trust your ideas. Create our community together. Refer your friends to receive bonuses. Activities to support your well-being and health. Plenty of opportunities to donate to charities and support the environment. Please click on this website to submit your application: https://system.erecruiter.pl/FormTemplates/RecruitmentForm.aspx?WebID=58b86d44db3b4c5993eab2801d9d9a01

Role: Lead Data Scientist – Gen AI Location: India (Remote) About Lingaro: Lingaro Group is the end-to-end data services partner to global brands and enterprises. We lead our clients through their data journey, from strategy through development to operations and adoption, helping them to realize the full value of their data. Since 2008, Lingaro has been recognized by clients and global research and advisory firms for innovation, technology excellence, and the consistent delivery of highest-quality data services. Our commitment to data excellence has created an environment that attracts the brightest global data talent to our team. About DS/AI Competency Center: Focuses on leveraging data, analytics, and artificial intelligence (AI) technologies to extract insights, build predictive models, and develop AI powered solutions. Utilizes Exploratory Data Analysis, Statistical Modeling and Machine Learning, Model Deployment, and Integration as well as Model Monitoring and Maintenance. Delivers business solutions using multiple AI techniques and tools. Website: https://lingarogroup.com/ Tasks: The key duties are: Running end-to-end initiatives (Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment) Analyzing and interpreting the findings Drawing conclusions and recommendations- including expected benefits and measuring ROI for enhancing business processes Supporting Pre-sales activities and initiatives Requirements: Must Have: Familiarity with theory behind various machine learning concepts Experience with Machine Learning (ML), especially in the area of Gener t ative AI (LLM/LMM) with focus on Natural Language Processing (NLP) or multi modal models. Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation, hypothesis testing and model deployment Fluency in Python, working knowledge of SQL and vector data base Knowledge of specific DS/ML/CV GenAI /NLP libraries like: NumPy, Keras, TensorFlow, PyTorch, HuggingFace, LangChain , and GenAI APIs i.e. OpenAI/Gemini. Nice to have: Experience in working with big data and distributed environments would be a plus Commercial experience proven by multiple successful projects in the area of Generative AI, Natural Language Processing or Computer Vision would be a big plus General: Good computer programming skills and familiarity with object oriented programming concepts Expertise in Azure cloud resources, Databricks Hands-on experience with Docker for containerisation Strong business acumen Ability to come up with creative solutions to address customer problem Ability to lead small technical team on the project Why join us: Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites. 100% remote. Flexibility regarding working hours. Full-time position Comprehensive online onboarding program with a “Buddy” from day 1. Cooperation with top-tier engineers and experts. Unlimited access to the Udemy learning platform from day 1. Certificate training programs. Lingarians earn 500+ technology certificates yearly. Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly. Grow as we grow as a company. 76% of our managers are internal promotions. A diverse, inclusive, and values-driven community. Autonomy to choose the way you work. We trust your ideas. Create our community together. Refer your friends to receive bonuses. Activities to support your well-being and health. Plenty of opportunities to donate to charities and support the environment. Application Link: https://system.erecruiter.pl/FormTemplates/RecruitmentForm.aspx?WebID=c4234668f9d849ac8f6d6e86cfa5fd4a

What will your day look like - Leading a dynamic team to deliver high impact risk solutions across credit risk (underwriting, exposure controls and line management). - Work with stakeholders across product management, data science, and engineering to build relationship with the partner teams and drive implementation of risk strategies - Manage challenging time constraints to ensure on-time delivery of projects. - Work closely with partner teams in identifying, evaluating, and recommending new data that helps in risk differentiation. - Analyze loss trends and simulate risk decisioning strategies that help optimize revenue, approval rates etc. - Work closely with data science team and recommends credit risk decisioning and model deployment strategy. - Build a risk scorecard that leverages both internal performance data and external performance data that will be leveraged for credit decisioning at both underwriting and account management reviews for existing customers. - Collates analysis and builds presentations that helps articulate the risk strategy for the leadership team. To Help Us Level Up, You Will Ideally Have : - Quantitative background in engineering, statistics, math, economics, business, or related disciplines. - 5+ years experience in analyzing data and using database query language (e. SQL) analysis and programming and developer tools such as Python, R, data bricks in a finance or analytics field. - 2+ years of experience in leading high performing team of analysts. - Experience in working with non-traditional data such as social media will be a big plus. - Prior model building experience is a plus but not critical. - Possesses an analytical mindset and strong problem-solving skills. - Attention to detail and ability to multitask. - Comfortable working in a fast-paced environment and dealing with ambiguity. - Possesses strong communication, interpersonal and presentation skills; and ability to engage and collaborate with multiple stakeholders across teams. - Extremely proactive communicator willing to raise flags when needed and keep team members informed of ongoing risk or fraud related activities.

*Need Immediate joiners only Position: Data Scientist Location: Gurugram Work Mode: Hybrid Setup 8-10 years (try at least 5 years relevant) AI/ML Expertise: KNN, SVM, Random Forest, XGBoost, Recommender Systems, LSTMs, Neural Networks, NLP. 6 months -1 year on Generative AI & Agentic AI: LangChain, OpenAI models, prompt engineering, RAG pipelines. More on traditional machine learning with cloud aws exposure Understanding of statistics, Ex – Data distributions, Data drift, and hypothesis testing Experience in production level ML solutions. Ex – GIT, Modular coding and ML Pipelines Good communication skills Hands on Python Coding

Responsilbe for SAS to python code conversion. Feature Engineering, EDA, Pipeline creation, Model training, and hyperparameter tuning with structured and unstructured data sets. Job Types: Full-time, Contractual / Temporary Contract length: 6 months Pay: ₹632,213.99 - ₹2,600,000.00 per year Application Question(s): How many years of experience of experience with SAS to python conversion ? How many years of experience with AI specific utilities ? How many years of experience with Machine learning? Work Location: In person

Job Description We are seeking a Data Scientist Engineer 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 & Responsibilities 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. Qualifications 1-3 years of professional experience 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 skill Job Type: Full-time Pay: ₹300,000.00 - ₹1,200,000.00 per year Benefits: Flexible schedule Leave encashment Provident Fund Education: Bachelor's (Preferred) Work Location: In person

Data Scientist Location: Gurugram, Haryana Need Immediate Joiners JD 1 – Data Scientist Statistical Knowledge, Good communication skills Coding Skills in Python, SQL Knowledge on GenAi PowerBI Tableu, Good Comminication Hands on testing, coding. API Key responsibilities: Analyze large and complex data sets to identify patterns, trends, and actionable insights using AI techniques. Develop and implement AI models, including machine learning, deep learning, and natural language processing algorithms, to address client-specific challenges. Design, develop, test, and deploy scalable AI solutions in production environments (a plus) Collaborate with cross-functional teams, including consultants and industry experts, to understand client needs and deliver AI-driven solute Communicate findings and insights effectively to both technical and non-technical stakeholders. Skills: Minimum of 5 years of work experience in data science or a related field with a focus on AI Strong knowledge of AI techniques (knowledge of Rag Implementation and Agents) including machine learning, deep learning, and natural language process Proficiency in Python and related libraries (e.g., Pandas, NumPy, scikit-learn, streamlit) is mandatory. Proficiency in querying language like SQL Experience with AI and machine learning frameworks and libraries (e.g., TensorFlow, PyTorch) Strong problem-solving skills and attention to detail JD 2- Data Scientist Skills: Minimum of 6-9 years experience with advanced knowledge of statistical and data mining techniques (regression, decision trees, clustering, neural networks, etc.). Experience in working with large datasets and relational databases is highly desirable (SQL). Knowledge of additional programming languages is a plus (Python, C++, Java). Distinctive communications skills and ability to communicate analytical and technical content in an easy to understand way. Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes and recommend solutions. Proven leaders with the ability in inspire others, build strong relationships, and create a true followership, result-driven achievers. Strong people skills, team-orientation, and a professional attitude. Our Advanced Analytics teams bring the latest analytical techniques plus a deep understanding of industry dynamics and corporate functions to help clients create the most value from data. Notice Period : Immediate or max, 2 weeks Location: Gurgaon, Hybrid mode Job Type: Permanent Pay: ₹2,800,000.00 per year Application Question(s): Can you join Immediately? Experience: Data Scientist: 5 years (Required) Coding Skills in Python, SQL: 5 years (Required) AI/ML Expertise: 3 years (Required) Generative AI & Agentic AI: 1 year (Required) Work Location: In person

Data Scientist: 4-6Years Analyze complex datasets to uncover patterns, trends, and insights that drive strategic business decisions. Develop predictive models, machine learning algorithms, and statistical analyses to solve business problems and improve campaign or operational performance. Collaborate with business and technical teams to define data science use cases and translate business requirements into analytical solutions. Communicate findings and recommendations through visualizations, presentations, and reports tailored to both technical and non-technical audiences. Work with large volumes of structured and unstructured data using tools such as Python, SAS, SQL, and big data platforms.

We’re looking for Data Scientists / Sr. Data Scientists who love solving complex problems and want to make an impact in the world of Fraud Risk & Analytics. What You’ll Work On •Build & deploy advanced ML models to detect and prevent Payment Fraud •Dive deep into SQL + Python + PySpark to analyse large datasets •Spot hidden fraud patterns & create smarter prevention strategies •Collaborate with cross-functional teams to continuously improve detection systems What We’re Looking For •2.5–5 years’ experience in SQL + ML (Classification & Regression Models) • Strong skills in Excel, SQL, PySpark & Python •Hands-on experience in fraud detection models (a big plus!) Immediate joiners (or <30 days’ notice) ONLY

Data Scientist Job title: Data Scientist Location: Noida(Work from Office) Shift: US Shift Design, build, and maintain robust and scalable applications using Python and advanced AI frameworks. Develop complex, multi-step workflows and autonomous systems using LLM Orchestrators like LangChain, LlamaIndex, or Semantic Kernel. Integrate AI models and agentic systems with our existing data pipelines, APIs, and infrastructure. Collaborate with product managers, data scientists, and software engineers to define requirements and deliver high-impact AI features. Establish AI Development Standards: Design and implement industry best practices for building, testing, and deploying scalable AI Agents (RAG, Prompting, Chat Completion, Multi-agent, Fine-Tuning), particularly focusing on generative models and large language models (LLMs) using both proprietary and open-source frameworks. Stay Ahead of Industry Trends: Continuously research and adopt the latest advancements in AI, ML, and generative models to drive innovation and operational improvements. Engage in Cross-Team Collaboration: Partner with stakeholders across data science, engineering, operations, and business teams to align AI initiatives with broader organizational goals. Train and manage the inference of deep learning models (Bert/Roberta/XL-Net/T4REC) and locally hosted LLMs (Llama/Qwen/Mistral) Manage model training, serving and response times at scale by techniques like model quantisation, QAT (quantisation aware training), speculative decoding, flash attention etc Required Qualifications Bachelor's degree in Computer Science, AI, Engineering, or a related technical field. 2 - 5 years of professional software development experience with a strong proficiency in Python. Demonstrated hands-on experience working with LLMs (e.g., GPT series, Llama, Claude, Gemini) via APIs or open-source models. Proven experience building applications with an LLM Orchestrator framework (LangChain, LlamaIndex, etc.). Solid understanding of AI Agent architectures and concepts like ReAct (Reasoning and Acting). Strong analytical and problem-solving skills, with a passion for building intelligent systems. Preferred Qualifications Experience with cloud platforms like Azure, AWS, or GCP. Experience with MLOps practices and tools for deploying and monitoring models in production. Familiarity with vector databases (e.g., Pinecone, Weaviate, ChromaDB). Active contributions to open-source AI/ML projects

Associate Data Scientist Job Title: Associate Data Scientist Location: Noida(Work from Office) Shift: US Shift Design, build, and maintain robust and scalable applications using Python and advanced AI frameworks. Develop complex, multi-step workflows and autonomous systems using LLM Orchestrators like LangChain, LlamaIndex, or Semantic Kernel. Integrate AI models and agentic systems with our existing data pipelines, APIs, and infrastructure. Collaborate with product managers, data scientists, and software engineers to define requirements and deliver high-impact AI features. Establish AI Development Standards: Design and implement industry best practices for building, testing, and deploying scalable AI Agents (RAG, Prompting, Chat Completion, Multi-agent, Fine-Tuning), particularly focusing on generative models and large language models (LLMs) using both proprietary and open-source frameworks. Stay Ahead of Industry Trends: Continuously research and adopt the latest advancements in AI, ML, and generative models to drive innovation and operational improvements. Engage in Cross-Team Collaboration: Partner with stakeholders across data science, engineering, operations, and business teams to align AI initiatives with broader organizational goals. Train and manage the inference of deep learning models (Bert/Roberta/XL-Net/T4REC) and locally hosted LLMs (Llama/Qwen/Mistral) Manage model training, serving and response times at scale by techniques like model quantisation, QAT (quantisation aware training), speculative decoding, flash attention etc Required Qualifications Bachelor's degree in Computer Science, AI, Engineering, or a related technical field. 0-2 years of professional software development experience with a strong proficiency in Python. Demonstrated hands-on experience working with LLMs (e.g., GPT series, Llama, Claude, Gemini) via APIs or open-source models. Proven experience building applications with an LLM Orchestrator framework (LangChain, LlamaIndex, etc.). Solid understanding of AI Agent architectures and concepts like ReAct (Reasoning and Acting). Strong analytical and problem-solving skills, with a passion for building intelligent systems. Preferred Qualifications Experience with cloud platforms like Azure, AWS, or GCP. Experience with MLOps practices and tools for deploying and monitoring models in production. Familiarity with vector databases (e.g., Pinecone, Weaviate, ChromaDB). Active contributions to open-source AI/ML projects

Data Scientist Experience: 3 - 5 Years Exp Salary : Competitive Preferred Notice Period : Within 30 Days Opportunity Type: Hybrid (Mumbai) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Python , SQL , BI Tool Ripplehire (One of Uplers' Clients) is Looking for: Data Scientist who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description About the Role RippleHire is seeking a talented Data Scientist with strong foundational skills and hands-on experience in predictive modeling to join our growing team. This is an excellent opportunity for a mid-level professional looking to make a significant impact while continuing to grow their expertise. Key Responsibilities Build and implement predictive models for business problems such as customer segmentation, churn prediction, and demand forecasting Perform data analysis and create insights from structured and unstructured data Clean, preprocess, and perform feature engineering on datasets Evaluate model performance and iterate to improve accuracy Document models and analysis for technical and business stakeholders Collaboration & Delivery Work with business teams to understand requirements and translate them into analytical solutions Create visualizations and presentations to communicate findings Participate in code reviews and knowledge sharing sessions Support deployment of models with the engineering team Required Qualifications and Experience 3-5 years of experience in data science, analytics, or related field At least 2 years of hands-on experience building predictive models Experience working with real business datasets and delivering analytical solutions Technical Skills - Must Have Strong proficiency in Python and its data science libraries (pandas, numpy, scikit-learn) Good understanding of machine learning algorithms (regression, classification, clustering) Experience with SQL for data extraction and manipulation Basic statistics knowledge (hypothesis testing, probability distributions) Experience with data visualization (matplotlib, seaborn, or similar) Familiarity with Jupyter notebooks and Git Technical Skills - Good to Have Experience with any cloud platform (AWS, GCP (Preferred), or Azure) Basic knowledge of deep learning frameworks (TensorFlow or PyTorch) Exposure to LLMs and prompt engineering Experience with any BI tool (Tableau, Power BI) Knowledge of big data tools (Spark basics) Knowledge of Vector Database Preferred Qualifications Bachelor's or Master's degree in Engineering, Computer Science, Statistics, Mathematics, or related field Kaggle participation or personal ML projects on GitHub Experience with A/B testing Basic understanding of MLOps concepts Any experience with NLP or time series analysis What Makes You a Good Fit You have successfully built and deployed at least 2-3 predictive models You're comfortable working with messy, real-world data You can explain technical concepts to non-technical stakeholders You're eager to learn new technologies, especially in the AI/LLM space You're detail-oriented and write clean, documented code Growth Opportunities Clear path to Senior Data Scientist role Exposure to LLM projects and cutting-edge AI technologies Mentorship from senior team members Cross-functional project opportunities How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Ripplehire is a recruitment SaaS for companies to identify correct candidates from employees' social networks and gamify the employee referral program with contests and referral bonus to engage employees in the recruitment process. Developed and managed by Trampoline Tech Private Limited. Recognized by InTech50 as one of the Top 50 innovative enterprise software companies coming out of India and; NHRD (HR Association) Staff Pick for the most innovative social recruiting tool in India. Used by 7 clients as of July 2014. It is a tool available on the subscription-based pricing model. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Hi, Greetings CGS is hiring 3+ years experienced Data Scientists. Skillset - Python, Ai, ML, LLM, generative Ai, Deep learning, React, Fast API, Agentic No. of positions- 6 Notice period -Immediate to 15 days Location-Chennai (WFO)

Desired Skills and Experience Experience Range : 4+ Years Location : Chennai, Bangalore, Hyderabad NP : Immediate to 30 Days Who we are Tiger Analytics is a global AI and analytics consulting firm. With data and technology at the core of our solutions, our 3900+ tribe is solving problems that eventually impact the lives of millions globally. Our culture is modelled around expertise and respect with a team-first mindset. Headquartered in Silicon Valley, you’ll find our delivery centers across the globe and offices in multiple cities across India, the US, UK, Canada, and Singapore, including a substantial remote global workforce. We’re Great Place to Work-Certified™. Working at Tiger Analytics, you’ll be at the heart of an AI revolution. You’ll work with teams that push the boundaries of what is possible and build solutions that energize and inspire. Role Overview: Experienced Data Scientist with a strong background in Microsoft Fabric and related Azure technologies, capable of transforming raw data into actionable insights. The ideal candidate will possess advanced skills in data science, feature engineering, machine learning model development, and data engineering , with hands-on expertise in Azure Machine Learning , Spark , and Python . In addition to technical expertise, the candidate should bring domain knowledge in wealth management marketing data to ensure that analytics and models align with industry-specific requirements. Key Responsibilities: Ingest, clean, and analyze raw structured and unstructured datasets within Microsoft Fabric and One Lake environments. Perform feature engineering , data enrichment, and transformation to prepare datasets for modeling. Design, build, and deploy machine learning models in Fabric Data Science , Azure Machine Learning for predictive analytics, prospect identification, targeting, segmentation, personalization, campaign performance and other business use cases. Implement end-to-end data pipelines using Fabric Data Engineering and Spark , ensuring scalability and performance optimization. Write high-quality Python code for data preprocessing, model training, evaluation, and automation workflows. Apply statistical analysis and data visualization techniques to generate insights and communicate findings effectively to business stakeholders. Collaborate with cross-functional teams including Marketing, Business Intelligence, and IT to align solutions with business objectives in the wealth management domain . Work with marketing datasets (e.g., campaign engagement, lead scoring, client segmentation, conversion tracking, consumer profiles etc.) to support targeted outreach and performance measurement. Ensure compliance with data governance, privacy, and regulatory requirements in financial services analytics. Required Skills & Experience: Strong hands-on experience with Microsoft Fabric Data Science and Data Engineering workflows. Proven expertise in data analysis , cleaning, and preprocessing of large-scale datasets. Solid track record in feature engineering and building machine learning models for production. Hands-on experience in Azure Machine Learning environment, including pipelines, model deployment, data drift, model drift and monitoring. Proficiency in Spark for distributed data processing and Python for advanced analytics and automation. Working knowledge of SQL for data querying and manipulation. Exposure to marketing data from the wealth management domain, including customer lifecycle analytics, segmentation, and campaign performance . Preferred Qualifications: Familiarity with RAG (Retrieval-Augmented Generation) , AI-powered personalization, or recommendation systems. Knowledge of predictive audience modeling or conversion prediction in financial services. You are important to us, let’s stay connected! Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire. Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.

We are looking for an experienced Data Scientist with over 4 years of expertise in Machine Learning and Deep Learning to join our AI/ML team. The ideal candidate will have hands-on experience in building and deploying models for Computer Vision and NLP tasks, along with a solid understanding of large language models (LLMs) like BERT and GPT. Key Responsibilities: Design, develop, and deploy machine learning and deep learning models for real-world applications. Work on Computer Vision tasks including image classification, object detection, segmentation, and tracking. Apply Natural Language Processing (NLP) techniques for text analytics, sentiment analysis, and language modeling. Fine-tune LLMs (BERT, GPT, etc.) for domain-specific applications. Collaborate with engineering teams to integrate models into production systems. Conduct research and experiments to improve model accuracy and performance. Leverage tools and libraries such as PyTorch , Hugging Face , TensorFlow , and OpenCV . Analyze large datasets and extract actionable insights using statistical and machine learning techniques. Document processes, models, and experiments effectively