3397 Data Scientist Jobs - Page 21

Location: Bangalore Experience Level: 6-8 years Position: Lead Data Scientist Education: BE/BTech from Tier 1 institutes (IITs/IIITs/NITs). Preferably MS in CS/NLP/KGs/Vision at top tier institute, for lead DS. Reimagine Travel decisions with the power of AI @ MakeMyTrip. MakeMyTrip has been AI/ML/Data/Platform powered organization. We are now shaping the future of travel for Bharat customers, with GenAI-centric innovations, leveraging SLMs, Vernacular STT/TTS, and travel content systems. Join us to take these systems, chatbots, Cx, content to next orbit of excellence. About The Role As a Lead data scientist , you will: Design, develop, and fine-tune multilingual Small Language Models (SLMs) with advanced AI capabilities for agentic applications such as travel destination expertise, Myra bot orchestration, hotel semantic search, and customer support bot assistance. Build custom Natural Language Inference (NLI) and reward-scoring models to improve preference-based SLM training(DPO, PPO, SteerLM etc), enhancing multi-agent response quality and relevance. Develop and implement active learning pipelines for data and models, for NLP, Named Entity Recognition (NER), conversational latent intent/concepts, travel-specific embeddings, and domain-specific SLM training for summarization, rephrasing, and planning. Architect and enhance conversational AI systems to dynamically adapt and comprehend concepts/intents, NLP, and NER tasks across multiple lines of business, supporting the Myra chatbot ecosystem. Drive end-to-end quality assurance through robust integration and experience testing, establishing objective evaluation metrics and leveraging A/B testing for performance optimization. Mentor and guide engineering teams in advanced SLM and Generative AI analytics, fostering growth and innovation. Collaborate across teams to deliver scalable solutions that impact millions of users, ensuring alignment with business goals. Focus on hosting and deploying Generative AI models on robust and efficient infrastructure to support large-scale operations. What You Bring Deep experience in Natural Language Processing (NLP & NLI), tiny/small language models, base language model retraining (both transformer and BERT based architectures). Extensive experience in conversational NLP systems. Experience in SLM adaptor fine tuning, SFT training, SLM pruning (base and instruct models) Experience in retriever frameworks in Q&A bots. Experience in contrastive learning, graph learning based embedding methods with heterogenous features. Preferably experience in building NLP active learning pipelines. Demonstrable experience in scaling your models to large scale search systems is a plus. Very good critical reasoning skills, data centric NLP/NLI systems. Must have temperament and hunger to work in fast-paced environment. Why Join Us? Be part of a team revolutionizing the travel industry with cutting-edge AI and Generative AI technologies, impacting millions of users worldwide.

About the Role: We are seeking a talented and experienced GenAI Developer with expertise in Python , Large Language Models (LLMs) , Natural Language Processing (NLP) , and AI agent development to join our dynamic team. The ideal candidate will work on the development and integration of cutting-edge AI solutions in cloud environments (AWS, GCP, Azure), integrating with CRM systems, and optimizing AI model performance. You will be responsible for developing AI agents , fine-tuning models using Hugging Face Transformers , and OpenAI technologies, and optimizing systems to meet business needs in a scalable and ethical manner. The role involves close collaboration with cross-functional teams, and youll be working on AI-driven features , APIs , and cloud integrations. Key Responsibilities: AI Model Development: Design, develop, and fine-tune AI models using OpenAI LLMs , Hugging Face Transformers , and advanced NLP techniques (e.g., prompt engineering , reinforcement learning from human feedback (RLHF) ). Cloud Integration: Develop, deploy, and optimize AI solutions on cloud platforms ( AWS , GCP , Azure ) ensuring scalability , reliability , and performance . API Development & Integration: Build and maintain APIs to integrate AI solutions with CRM platforms and third-party applications. Ensure seamless integration of AI agents into customer-facing systems. Model Interpretability & Transparency: Apply model interpretability tools to ensure transparency and ethical AI practices, and help explain AI model decisions to both technical and non-technical stakeholders. Continuous Learning & Optimization: Stay updated on the latest advancements in LLMs , AI agents , and Generative AI (GenAI) technologies. Continuously optimize the performance of AI models, focusing on accuracy, efficiency, and business needs. Collaboration & Innovation: Work closely with cross-functional teams to design innovative AI-driven features. Contribute to architecture decisions and AI system enhancements. Apply Agile development practices to ensure timely delivery. Candidate Profile: Education: A Bachelor’s degree in Computer Science , Artificial Intelligence , Information Technology , or a related technical field. Experience: 2 to 4 years of professional experience in AI development , with a strong focus on LLMs , NLP , Python , and cloud platforms . Proven experience with model fine-tuning , API development , and cloud integration is essential. Skills Required: Proficiency in Python with experience in Django or other web frameworks. Strong understanding of NLP techniques, including prompt engineering and reinforcement learning . Hands-on experience with Hugging Face Transformers and OpenAI models (GPT, etc.). Strong experience with cloud platforms ( AWS , GCP , Azure ) for deploying AI solutions. Familiarity with version control systems (GitHub, Git). Experience developing and consuming RESTful APIs for seamless third-party integrations. Familiarity with database technologies (e.g., PostgreSQL , MySQL , MongoDB ) and GraphQL is a plus. Preferred Skills: Knowledge of Generative AI (GenAI) frameworks (e.g., Azure OpenAI , DALL•E ). Experience with RAG (retrieval-augmented generation) techniques for improving model performance. Familiarity with tools like Jupyter Notebooks , Streamlit , and Flask for rapid prototyping. Experience with ethical AI practices and ensuring model transparency.

At 5X, we help companies organize their data and make it actionable Founded by engineers who built data platforms at hypergrowth companies, we saw first-hand the complexity and fragmentation plaguing modern data stacks Thats why we created 5X an end-to-end data and AI platform that unifies data tooling, streamlines operations, and empowers teams to build with data without drowning in integrations and vendor sprawl, Responsibilities Understand and analyse client's business requirements to design and implement effective data solutions, Create and optimize data models to support client reporting and analytics needs, Proactively communicate with clients to provide project updates and address any issues or concerns, Comfortable to travel to meet customers in the US and go deeper on projects Provide mentorship and guidance to junior team members, Stay up-to-date with industry best practices and emerging technologies to continuously improve data engineering processes, Qualifications We are looking for people in Medellin, Colombia with Valid US Visa and 5+ years of experience in data science/analytics, with a proven track record of successfully delivering end-to-end data solutions, Skilled in statistical analysis, exploratory data analysis (EDA), and feature engineering to prepare data for model development, Experience in designing, developing, and deploying machine learning models into production environments, Proficient in supervised and unsupervised learning techniques, such as regression analysis, treebased models, and neural networks, Experience in working with ML modules such as scikit-learn, tensorflow Proficiency in SQL and Python for data manipulation and analysis, Experience in working with python modules such as pandas, numpy, matplotlib Strong understanding of business processes with a proven ability to collaborate with crossfunctional teams, identify pain points, and implement data-driven solutions, Experience with data warehouse platforms like Snowflake and Google BigQuery is highly desirable; familiarity with cloud platforms such as GCP and AWS is a plus, Experience with modern data stack tools (such as fivetran,dbt) Getting things done, knowing how to unblock yourself, communicating, and engaging with customers proactively with minimal supervision About 5X Were a global, remote-first company building the platform we wish we had and today, it powers the data teams building whats next At 5X, we combine deep technical expertise with a culture of ownership, creativity, and fun Whether you're designing data pipelines or hosting team trivia, we believe in working hard, delivering exponential value, and enjoying the journey Why work with us We prioritize Outsized Impact: Everything we do is centered around driving exponential value to our customers Our customers find it impossible to think of a world outside of 5X, We are committed to Holistic Wellness: The 4 empires which determine our overall wellbeing are the mental, emotional, physical and spiritual empires At 5X prioritize all 4, We wholeheartedly embrace remote work: If we cant build it from a hammock in Bali, were doing something wrong 5X fully embraces remote work We trust you will find the right balance, Transparency is fundamental to us: We put everything on the table for everyone to see This means that you have our permission to ask the tough questions and we will answer We don't like playing political games, Togetherness is at the core of our culture: We work together to maximize our potential We are there for each other and treat others as we expect to be treated This is the 5X Family and we are better together! Offsite: 1 team offsite a year to incredible destinations Check out our recent offsites here: Thailand, Sri Lanka and Bali Know About The Company Website: https://5X co/ LinkedIn: https:// linkedin /company/datawith5X/mycompany/ Glassdoor: https:// glassdoor co in/Reviews/5X-Reviews-E6110869 htm 5X in 2 minutes: https:// youtube /watchv=45Ppi00Lw70 Show

Job Purpose and Impact The R&D Senior Data Scientist will work collaboratively in multidisciplinary teams to develop complex proof of concepts, minimum viable products and fully deployable solutions. In this role, you will create complex predictive and optimization models that help deliver significant value to the company's businesses and functions. Key Accountabilities Continuously seek out best practices and develop skills. Work on multidisciplinary teams of data engineers, software engineers, data scientists and business subject matter experts to deliver complex projects on time and within budgets. Translate ambiguous and complex business problems into project charters clearly identifying technical risks and project scope. Take ownership for the entire data science workflow that includes a well defined, complex project scope, exploratory data analysis, model development, deployment and monitoring. Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff. Other duties as assigned Qualifications Minimum Qualifications Bachelor's degree in data science, computer science, math, engineering or related field or equivalent experience, Confirmed ability to present to non technical audiences Strong python programming skills Experience in a minimum of two machine learning algorithms approaches: unsupervised, supervised and reinforcement learning Preferred Qualifications Master's degree or PhD in data science, computer science, math, engineering or related field Strong data visualization skills Strong SQL skills Experience working with continuous integration and delivery (CI/CD) pipelines Experience working with Hadoop and other distributed computing frameworks Experience working with AWS Experience in software development environment and code management or versioning Experience in agriculture

Advanced Process Control (APC) Python, R data visualization tools (e.g., PI Vision, Power BI, Tableau, Grafana is a plus. machine learning (ML) models OSIsoft PI System.

Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist to join our innovative Data Science team. Reporting to the Data Science Director, you will contribute to the development of advanced Machine Learning (ML) solutions for cybersecurity challenges, including threat detection, malware analysis, and anomaly detection. Your expertise will help drive end-to-end ML product development, from data preparation to deployment, while ensuring seamless integration into our core products. What You Will Do: As a Senior Data Scientist, you will work in a team of smart data scientists reporting to the Data Science Director that does full-lifecycle full-stack Machine Learning product development, from feature engineering to model building and evaluation. Our team's use cases include but are not limited to threat detection, threat hunting, malware detection and anomaly detection, and MLOps. You will work with other Senior Data Scientists in the team to execute data science projects. You will identify issues with models running in production and resolve them. This may require retraining models from scratch, adding new features to model, set-up automated model training and deployment pipelines. These models will be integrated into popular products of the company to show maximum impact. About You: A Master Degree or Equivalent degree in Machine Learning, Computer Science, or Electrical Engineering, Mathematics, Statistics In-Depth understanding of all major Machine Learning and Deep learning algorithms, supervised and unsupervised both Passion for leveraging ML/AI to solve real-world business problems 4-7 years of industry experience in one or more machine/deep learning frameworks 4-7 years of industry experience with Python/Pyspark and SQL Experience solving multiple business problems using Machine Learning Experience with various public cloud services (such as AWS, Google, Azure) and ML automation platforms (such as MLFlow) Should be able to drive end-to-end machine learning project with limited guidance Solid computer science foundation Good written and verbal communication Ph.D in Cyber Security/Machine Learning or related field will be an added advantage 4-7 years of industry experience in the field of Data Science/Machine learning Prior experience in solving cyber security problems using machine learning Familiarity with Security Domain will be a plus Company Benefits and Perks: We believe that the best solutions are developed by teams who embrace each other's unique experiences, skills, and abilities. We work hard to create a dynamic workforce where we encourage everyone to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees. Retirement Plans Medical, Dental and Vision Coverage Paid Time Off Paid Parental Leave Support for Community Involvement

For 3–5 Years Experience – Mid-Level AI/ML Engineer / Data Scientist 1. Core Technical Skills Python (NumPy, Pandas, Scikit-learn, Matplotlib/Seaborn, beautifulsoup, selenium) SQL(MySQL/PostgreSQL), Mongo DB, NLP, Computer Vision, RAG, Vector DBs, LLMs, Agentic AI, Neural Network, RNN, CNN, LSTMs, web scraping. ML algorithms: regression, decision trees, random forests, XGBoost, SVM, KMeans, DBSCAN, etc. Model evaluation: cross-validation, precision/recall, ROC-AUC, confusion matrix 2. AI/ML Frameworks Scikit-learn, TensorFlow or PyTorch Keras Familiar with pre-trained models (e.g., BERT, ResNet, Stable Diffusion) and transfer learning 3. Practical Experience Building and deploying end-to-end ML pipelines Experience with REST APIs or Flask/FastAPI-based model deployment Version control with Git 4. Data Handling Data preprocessing, feature engineering Experience with structured, semi-structured data and unstructured data Data visualization (Power BI, Tableau, or Python libs) 5. Cloud & DevOps Basics Working knowledge of AWS/GCP/Azure (S3, Lambda, SageMaker or equivalent) Docker CI/CD understanding 6. Soft Skills Good documentation practices Able to explain ML models to non-tech stakeholders Cross-functional collaboration experience Job Types: Full-time, Permanent Pay: ₹450,000.00 - ₹650,000.00 per year Work Location: In person

The impact that you will be making IA’s Ada forecast engine is a powerful ensemble of myriad AI/ML algorithms consisting of Deep Learning (CNN, RNN, TFT etc.), ML based (Regression, Decision Trees etc.), Time Series based (ARIMAX, CROSTON etc.) and other best in class (Prophet, N-BEATS etc) algorithms. The engine finds and tunes the best combination of parameters, variables, and algorithms from a large space of possible combinations which automatically takes in the latest data and improves over time. The engine is further continuously enhanced by the addition of the newest and best AI/ML algorithms for forecasting from academic and industrial research. The forecasts for Ada will feed into IA’s products like Pricesmart, Allocatesmart, Plansmart etc. which will be consumed by clients for merchandize planning. The DS role would require you to take end-to-end ownership of forecast generation (data to delivery), weekly simulations, model refresh of multiple clients using IA’s Ada forecast engine. You will also be required to create reports on a weekly basis to report forecast accuracies and perform RCA on low forecast accuracies. There will also be support required in forecast improvement R&D efforts as needed. You will primarily be interacting with internal product teams and analytics services teams and will be required to maintain a strong relationship with internal stakeholders and ensure timely delivery and support on forecast generation. What lands you in this role 1 to 3 years of experience as a Data Scientist Technical skills: Strong expertise in Python, SQL and Excel Strong knowledge of basic statistics and machine learning Prior hands on experience building forecasting models in any domain Predictive Analytics & Machine Learning exposure preferred Prior experience in MLOps platforms preferred Structured thought process and ability to break down complex problems Knowledge of database management, reporting and analysis Ability to prepare technical documentation like product issue logs, user manuals, product release notes and troubleshooting guides Ability to work on complex, unique technical issues, and research possible solutions using a combination of consulting and testing Business acumen: Experience in analysing data to draw business-relevant conclusions and in data visualization techniques and tools Basic knowledge of at least a few of the retail processes like demand forecasting, inventory allocation & replenishment, merchandising, pricing & promotions Problem solving skills: Ability to perform root cause analysis to get to the bottom of the issue Ability to do abstract problem solving and ideation Ability to take up major collaborative efforts across various teams for issue resolution Soft skills: Strong verbal and written communication Attention to detail and ability to perform under pressure Strong stakeholder management ability Well-organized with the ability to multi-task & prioritize with minimal supervision Highly motivated with the ability to work independently and in a team Bachelor's degree or equivalent with strong academic background About Impact Analytics Impact Analytics™ ( Series D Funded ) delivers AI-native SaaS solutions and consulting services that help companies maximize profitability and customer satisfaction through deeper data insights and predictive analytics. With a fully integrated, end-to-end platform for planning, forecasting, merchandising, pricing, and promotions, Impact Analytics empowers companies to make smarter decisions based on real-time insights rather than relying on last year’s inputs to forecast and plan this year’s business. Powered by over one million machine learning models, Impact Analytics has been leading AI innovation for a decade, setting new benchmarks in forecasting, planning, and operational excellence across the retail, grocery, manufacturing, and CPG sectors. In 2025, Impact Analytics is at the forefront of the Agentic AI revolution, delivering autonomous solutions that enable businesses to adapt in real time, optimize operations, and drive profitability without manual intervention . Here’s a link to our website: www.impactanalytics.co . Some of our accolades include: Ranked as one of America's Fastest-Growing Companies by Financial Times for five consecutive years: 2020-2024. Ranked as one of America's Fastest-Growing Private Companies by Inc. 5000 for seven consecutive years: 2018-2024. Voted #1 by more than 300 retailers worldwide in the RIS Software LeaderBoard 2024 report. Ranked #72 in America’s Most Innovative Companies list in 2023 —by Fortune —alongside companies like Microsoft, Tesla, Apple, IBM, etc. Forged a strategic partnership with Google to equip retailers with cutting-edge generative AI tools. Recognized in multiple Gartner reports , including Market Guides and Hype Cycle , spanning assortments, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications.

Key Responsibilities: • Develop and implement machine learning models and algorithms. • Work closely with project stakeholders to understand requirements and translate them into deliverables. • Utilize statistical and machine learning techniques to analyze and interpret complex data sets. • Stay updated with the latest advancements in AI/ML technologies and methodologies. • Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications: • Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. • Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills: • Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack, NLP using python • Strong knowledge and experience in Generative AI/ LLM based development. • Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). • Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure. • Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data – including indexing, search, and advance retrieval patterns. • Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. • Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. • Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. • Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. • Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn), Glue crawler, ETL • Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). • Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). • Experience with version control systems (e.g., Git, CodeCommit). Good to have Skills • Knowledge and Experience in building knowledge graphs in production. • Understanding of multi-agent systems and their applications in complex problemsolving scenarios

The ideal candidate's favourite 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 correct answers. Responsibilities Analyze raw data: assessing quality, cleansing, and structuring for downstream processing. Design accurate and scalable prediction algorithms. Molecular Docking and Simulation. Integrating Biological Data. Computational Biology related works. Qualifications Bachelor's degree or equivalent experience in a quantitative field (Bio-informatics, Biotechnology, Statistics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Freshers can also apply.* Deep understanding of predictive modelling, machine learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, R, C, C++, Java, SQL),

Hanumant Technology is the Best IT Company & Training Institute in Lucknow. We provide #1 IT Services and Training programs with 100% job placement. Contact No : 95175 01136 Job Types: Full-time, Permanent, Fresher Pay: ₹10,611.13 - ₹30,795.49 per month Work Location: In person

Experience Required: 2-5 Years No. of vacancies: 4 Job Type: Full Time Vacancy Role: WFO Job Category: Development 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 & 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 2+ 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: ₹136,159.75 - ₹1,600,000.00 per year Benefits: Flexible schedule Leave encashment Provident Fund Schedule: Day shift Experience: Data science: 2 years (Required) Work Location: In person

We are looking for a forward-thinking Data Scientist with expertise in Natural Language Processing (NLP), Large Language Models (LLMs), Prompt Engineering, and Knowledge Graph construction. You will be instrumental in designing intelligent NLP pipelines involving Named Entity Recognition (NER), Relationship Extraction, and semantic knowledge representation. The ideal candidate will also have practical experience in deploying Python-based APIs for model and service integration. This is a hands-on, cross-functional role where you’ll work at the intersection of cutting-edge AI models and domain-driven knowledge extraction. Key Responsibilities: Develop and fine-tune LLM-powered NLP pipelines for tasks such as NER, coreference resolution, entity linking, and relationship extraction. Design and build Knowledge Graphs by structuring information from unstructured or semi-structured text. Apply Prompt Engineering techniques to improve LLM performance in few-shot, zero-shot, and fine-tuned scenarios. Evaluate and optimize LLMs (e.g., OpenAI GPT, Claude, LLaMA, Mistral, or Falcon) for custom domain-specific NLP tasks. Build and deploy Python APIs (using Flask/Fast API) to serve ML/NLP models and access data from graph database. Collaborate with teams to translate business problems into structured use cases for model development. Understanding custom ontologies and entity schemas for corresponding domain. Work with graph databases like Neo4j or similar DBs and query using Cypher or SPARQL. Evaluate and track performance using both standard metrics and graph-based KPIs. Required Skills & Qualifications: Strong programming experience in Python and libraries such as PyTorch, TensorFlow, spaCy, scikit-learn, Hugging Face Transformers, LangChain, and OpenAI APIs. Deep understanding of NER, relationship extraction, co-reference resolution, and semantic parsing. Practical experience in working with or integrating LLMs for NLP applications, including prompt engineering and prompt tuning. Hands-on experience with graph database design and knowledge graph generation. Proficient in Python API development (Flask/FastAPI) for serving models and utilities. Strong background in data preprocessing, text normalization, and annotation frameworks. Understanding of LLM orchestration with tools like LangChain or workflow automation. Familiarity with version control, ML lifecycle tools (e.g., MLflow), and containerization (Docker). Nice to Have: Experience using LLMs for Information Extraction, summarization, or question answering over knowledge bases. Exposure to Graph Embeddings, GNNs, or semantic web technologies (RDF, OWL). Experience with cloud-based model deployment (AWS/GCP/Azure). Understanding of retrieval-augmented generation (RAG) pipelines and vector databases (e.g., Chroma, FAISS, Pinecone). Job Type: Full-time Pay: ₹1,200,000.00 - ₹2,400,000.00 per year Ability to commute/relocate: Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Experience: Natural Language Processing (NLP): 3 years (Preferred) Language: English & Tamil (Preferred) Location: Chennai, Tamil Nadu (Preferred) Work Location: In person

As a Data Scientist with 7-8 years of experience, you will be responsible for utilizing your expertise in AWS cloud and machine learning within the health domain. You will primarily work on processing large datasets, conducting exploratory data analysis, and extracting valuable insights to support decision-making processes. Your proficiency in Python or R along with data visualization methods will be crucial for this role. The ideal candidate should have a strong background in data analysis and be adept at handling complex datasets. Familiarity with healthcare or mental health datasets is preferred, along with a solid understanding of database querying and data transformations. Your problem-solving skills and meticulous attention to detail will play a key role in deriving actionable insights from the data. In addition to technical skills, effective communication is essential for this role. You will be required to communicate your findings and recommendations clearly and collaborate with team members effectively. While working independently when necessary, a collaborative attitude will enhance your contribution to the team. Preferred qualifications include prior experience in healthcare or mental health datasets, a background in statistical modeling or machine learning, and familiarity with socio-demographic data analysis. If you are a data-driven professional looking to make a meaningful impact in the healthcare domain, this role offers an exciting opportunity to apply your skills and expertise effectively.,

Overview: Synoptek We think globally, act locally. As a Managed Services Provider, Synoptek provides world-class strategic IT leadership and hyper-efficient IT operational support, enabling our global client-base to grow and transform their businesses. We are excited to have experienced continuous growth and in keeping with that momentum we are seeking to add talent to our team. When you partner with Synoptek, you engage with an ever-growing, ever-evolving IT organization that provides a high-caliber team, results growth, and clarity. Responsibilities: Data Scientist This is an amazing opportunity to work within one of the fastest growing Managed Services Providers. We are a company with a heart and soul dedicated to the ongoing success and growth of our employees and continued business success of the customers we support. We foster a fun and connected environment with employee benefits extending beyond general compensation and into company sponsored events and an invested culture of learning. The Data Scientist is responsible for conducting end-to-end analysis, encompassing requirements, activities, and design. Additionally, the Data Analyst is responsible for developing analysis and reporting capabilities and implementing performance and quality control measures to drive continuous improvement. Role & Responsibilities: Should be able to code in Python and work with simple to complex SQL Work as independent contributor in building AI solutions using latest tech stack. Should be able to research, learn and implement latest models in AI and GenAI Identify, analyse, and interpret trends or patterns in complex datasets. Collaborate with team, to prioritize business and information needs. Serve as a consultant for clients nationwide. Identify and define process improvement opportunities. Excellent problem-solving ability and verbal communication. Experience Atleast 3 years of relevant experience in Building AI solutions. Proficiency in programming languages such as Python, FastAPI, SQL or PySpark(good to have) Experience in developing conversational AI or virtual assistant applications. Proven experience in building and deploying applications using LLMs like OpenAI GPT-4o, Claude, Llama, Grok, Gemini or similar Hands-on experience in building GenAI Applications. Good to have working experience in building Agentic AI applications. Familiarity with acquiring and managing huge and complex data from various sources, including structured and unstructured data sources. Extensive experience with Cloud platforms, particularly Microsoft Azure. Knowledge of natural language processing (NLP) and information retrieval Have knowledge and hands-on experience with LangChain Framework, Azure OpenAI, Azure AI Search Service, Indexing, and Embedding techniques Good to have Application development experience using AI models and API integrations. Hands-on experience in AI, ML and Deep Learning algorithms like Regression, Decision Trees, Neural networks Experience in working with Azure Cosmos DB, Azure Blobs, Azure Functions, and App Service Qualifications: Education Bachelor’s degree in Computer Science, Information Technology or related field from an accredited college or university preferred In lieu of undergraduate degree, the ratio is 1:1 - meaning one year of college equals one year of work experience and vice versa Experience Customarily has at least 1 year(s) of job-related experience Familiarity with acquiring and managing data from various sources, including primary and secondary data sources. Skills/Attributes Synoptek core DNA behaviors: Clarity: Possesses excellent communication skills, makes a concentrated effort to speak the customers language. Ability to field questions with concise, well-constructed responses. OwnIT: Shows integrity, innovation, and accountability in completing daily assignments. Results: Solutions focused and driven to resolve conflict quickly and precisely. Proactively looks for opportunities to contribute to the company’s business goals. Growth: Willing to learn and ask questions. Constantly looking for new ways to improve yourself. Ability to adapt and grow in a fast-paced environment. Team: Embraces both customers and colleagues as team members. Ability to be flexible, respectful, engaged and collaborative. Capacity to identify, analyze, and interpret trends or patterns in complex datasets and propose solutions to business challenges. Strong verbal and written communication skills to collaborate with management, prioritize business needs, and work effectively as a consultant with clients. Working Conditions We live by the motto ‘work hard, play hard’ and strive to support our employees in both their professional and personal goals. We believe that by hiring the right people, leading process improvement, and leveraging technology, we achieve superior results. Work is performed primarily in an office or remote environment. May be subject to time constraints and tight deadlines. May require occasional travel. EEO Statement We are proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, veteran status, sexual orientation, gender identity, marital status, pregnancy, genetic information, or any other characteristic protected by law and will not be discriminated against on the basis of disability. It is our intention that all qualified applicants are given equal opportunity and that employment decisions be based on job-related factors.

As a Data Engineer at our company, your primary responsibility will be the development and maintenance of scalable and efficient data pipelines and ETL processes using Python and related technologies. You will play a crucial role in optimizing the performance of these pipelines and queries to handle large volumes of data and improve processing times. Collaboration is key in this role, as you will closely work with our team of data scientists and engineers at Matrix Space. To excel in this position, you should have 2-5 years of experience in data engineering or a related field with a strong focus on Python. Proficiency in Python programming is a must, including knowledge of libraries such as Pandas, NumPy, and SQL Alchemy. Additionally, hands-on experience with data engineering tools and frameworks like Apache Airflow, Luigi, or similar is highly desirable. A solid grasp of SQL and experience with relational databases such as PostgreSQL and MySQL will be beneficial. In addition to technical skills, we value certain soft skills in our team members. Problem-solving abilities, the capacity to work both independently and collaboratively, and effective communication skills are essential. You should be able to articulate technical concepts to non-technical stakeholders and demonstrate a proven track record of completing tasks efficiently. If you are an immediate joiner and can commence within a week, we encourage you to apply for this position. Join our team and be part of an exciting journey in data engineering where your skills and expertise will be valued and put to good use.,

Oliver Wyman is a global leader in management consulting with offices in 70 cities across 30 countries. Combining deep industry knowledge with specialized expertise in strategy, finance, operations, technology, risk management, and organizational transformation, our team of 6000+ professionals helps clients optimize their business, improve IT, operations, and risk profile, and accelerate organizational performance. We challenge conventional thinking, consistently deliver innovative solutions, and have a tangible impact on clients" top and bottom lines. Our clients are the CEOs and executive teams of the top global 1000 companies. Oliver Wyman is a business of Marsh McLennan [NYSE: MMC]. At Oliver Wyman DNA in Gurugram, India, we partner with clients to solve tough strategic business challenges using analytics, technology, and industry expertise. Our goal is to achieve lasting results in collaboration with clients and stakeholders, driving digital transformation, creating customer-focused solutions, and optimizing operations for the future. We value personal and professional growth opportunities and aim to deliver impact globally as an entrepreneurial team. Our mission is to leverage India's high-quality talent to provide exceptional analytics-driven management consulting services that empower clients globally. By working alongside Oliver Wyman consulting teams, we aim to achieve sustainable growth and drive meaningful impact for our global client base. Our purpose is to bring together a diverse team of highest-quality talent equipped with innovative analytical tools to build long-lasting partnerships with clients based on trust, mutual respect, and a commitment to deliver results. We have open positions ranging from Associate Data Scientist to Director, providing talented professionals with excellent career and growth opportunities. We seek individuals with relevant experience in quantitatively intense areas to join our team. In the data scientist track, you will be responsible for managing and delivering analytics projects, designing analytics solutions, crafting models, and driving scalable high-quality solutions across industries. Your responsibilities include working with global clients, exploring large-scale data, shaping proposals, refining model insights, leading the development of statistical techniques and ML algorithms, and staying updated on emerging data science techniques. To be successful in this role, you should have a Bachelor's or Master's degree in a quantitative discipline, prior experience in data science and analytics, a passion for problem-solving through big data, impactful presentation skills, excellent communication skills, willingness to travel, and proficiency in modern programming languages and machine learning frameworks. You should also have a solid foundational knowledge of mathematical and statistical principles, familiarity with cloud storage and computational frameworks, and a collaborative team player mindset with respect for confidentiality. The interview process will include testing technical proficiency, case study, and team-fit interviews. If you are interested in joining our team, please include a brief note introducing yourself, what you're looking for in the role, and your potential value-add to our team. We are hiring for data and analytics roles across the levels from Associate Data Scientist to Director level for experience ranging from 0-15 years. In addition to the base salary, this position may be eligible for performance-based incentives, and we offer a competitive total rewards package including comprehensive health and welfare benefits.,

Job Title: Data Science Expert (Mentor & Trainer) Location: Onsite Mumbai, India Employment Type: Full-Time About the Role: We are seeking an experienced and highly skilled Data Science Expert to join our growing team at our Mumbai office. This is a full-time, onsite role focused not only on solving complex data problems but also on mentoring and training Junior Data Science Engineers . The ideal candidate will bring deep technical expertise in data science and machine learning, along with a passion for teaching and developing talent. Key Responsibilities: Lead the development of end-to-end data science solutions using advanced ML, NLP, and Computer Vision techniques. Train, mentor, and support junior data science engineers in coding, model development, and best practices. Architect and implement AI-driven solutions such as chatbots, OCR systems, and facial recognition applications. Translate complex business problems into actionable data science projects and deliver measurable results. Design and lead internal workshops, code reviews, and learning sessions to upskill the team. Collaborate with engineering and product teams to deploy models and insights into production environments. Stay abreast of the latest AI/ML trends and integrate cutting-edge techniques into projects where applicable. Desired Skills & Qualifications: Experience: 6+ years in Data Science/Machine Learning with at least 12 years of team mentoring or leadership experience. Education: Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field. Technical Expertise Required: Strong proficiency in Python and SQL ; R is a plus. Solid hands-on experience with Deep Learning and Neural Networks , particularly in Natural Language Processing (NLP) , Generative AI , and Computer Vision . Familiarity with frameworks and libraries such as TensorFlow , Keras , PyTorch , OpenCV , SpaCy , NLTK , BERT , ELMo , etc. Experience developing Chatbots , OCR , and Face Recognition systems is preferred. Hands-on knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform). Experience applying statistical and data mining techniques such as GLM , regression , clustering , random forests , boosting , decision trees , etc. Strong understanding of model validation , performance tuning , and deployment strategies . Soft Skills: Excellent communication and presentation skills, especially in explaining complex models to non-technical audiences. Demonstrated ability to mentor, train, and lead junior team members effectively. Strong analytical and problem-solving mindset with a detail-oriented approach. What We Offer: Competitive salary and benefits A collaborative and intellectually stimulating environment Career growth and leadership development opportunities within a fast-paced team

About the Role: We are seeking a talented AI Engineer with strong expertise in Large Language Models (LLMs) and AI agent frameworks to help us build next-generation AI-powered systems. You will work on everything from fine-tuning open-source models to building intelligent agent workflows using tools like LangGraph , LangChain , and others. You'll also deploy services at scale using modern DevOps and cloud infrastructure. Key Responsibilities: Fine-tune and adapt open-source LLMs (e.g., LLaMA 4, Mistral, Falcon) using NVIDIA GPUs for domain-specific tasks. Design and build AI agents capable of reasoning, planning, and tool use using frameworks like LangGraph , LangChain , and AutoGen . Implement structured, multi-step workflows for agents including memory management, tool calling, human-in-the-loop logic, and retry/error recovery strategies. Integrate proprietary LLMs (e.g., OpenAI, Claude) and Open Source LLM (e.g. Llama 4) for hybrid solutions using APIs and plugins. Develop scalable backend systems using FastAPI and containerized applications using Docker . Deploy and manage models on AWS , Azure , or other cloud providers, with a focus on scalability and reliability . Monitor and optimize infrastructure to ensure performance under variable traffic loads. Requirements: Strong experience in fine-tuning LLMs , optimized with NVIDIA GPU toolkits (CUDA). Proficient in building LLM-powered AI agents using tools like: LangGraph (for stateful agent workflows) LangChain (chains, memory, and tools) AutoGen or CrewAI (multi-agent collaboration) Solid grasp of agent orchestration concepts such as state machines, task decomposition, tool selection, and intermediate reasoning steps. Hands-on with OpenAI/Anthropic APIs , including function calling, tool use, prompt engineering and context management. Retrieval-Augmented Generation (RAG) pipelines with vector databases (e.g., Weaviate, FAISS, Pinecone) Experience building and exposing REST APIs using FastAPI , with production-grade containerization in Docker . Deep understanding of cloud deployment and infrastructure scaling using services like AWS EC2/S3, Lambda, Azure Functions, AKS, or ECS. Familiar with monitoring tools and CI/CD workflows (e.g., GitHub Actions, Prometheus, Grafana). Nice to Have: Experience with: LangServe , Semantic Kernel , Haystack , or SuperAGI Open-source contribution in agent orchestration frameworks Exposure to event-driven architecture, streaming (Kafka/PubSub), and async task orchestration (Celery, Ray) Preferred Qualifications: Bachelor's or master's in computer science, Machine Learning, or a related field. Previous experience deploying agent-based AI systems in production environments. Strong problem-solving, system design, and cross-functional collaboration skills are important. What We Offer: Work on cutting-edge AI agent technology solving real-world problems. A collaborative and ownership-driven environment with growth opportunities.

As a valuable member of our team, your role will involve determining and developing user requirements for systems in production to ensure maximum usability. By utilizing your skills in usability, data analysis, machine learning, statistical analysis, communication skills, big data technologies (such as Hadoop and Spark), programming languages (such as Python and R), data visualization, and SQL, you will contribute to the success of our projects. Success in this position will mean that you have effectively gathered and analyzed data to provide valuable insights, improving the usability and functionality of our systems. Your ability to apply statistical analysis and machine learning techniques will play a crucial role in driving decision-making processes within the organization. This role is essential in ensuring that our systems meet the needs and expectations of our users, ultimately contributing to the overall success of our organization. Your expertise in data analysis and programming will be instrumental in driving innovation and efficiency in our projects. If you possess excellent verbal and written communication skills, along with a keen eye for detail and a passion for data-driven solutions, we encourage you to apply for this exciting opportunity. Join us in making a meaningful impact through your contributions to our team.,

You will join our dynamic team as a highly skilled Data Scientist, where you will be tasked with analyzing large datasets, developing predictive models, and offering actionable insights to facilitate informed business decisions. Your responsibilities will include collecting, processing, and analyzing extensive datasets to extract valuable insights. Furthermore, you will be developing and deploying predictive models and machine learning algorithms. Collaboration with cross-functional teams to identify business opportunities and promote data-driven decision-making will be a crucial aspect of your role. Moreover, you will be responsible for creating data visualizations and reports to effectively communicate your findings to stakeholders. It will be expected of you to continually enhance data collection and analysis processes. To qualify for this position, you should hold a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. Demonstrable experience as a Data Scientist or in a similar capacity is essential. Proficiency in statistical methods and machine learning techniques is required, as well as expertise in programming languages like Python, R, or SQL. Strong analytical and problem-solving skills will be key to excelling in this role.,

Position Overview: Here at ShyftLabs, we are looking for an experienced Data Scientist who can derive performance improvement and cost efficiency in our product through a deep understanding of the ML and infra system, and provide a data-driven insight and scientific solution. ShyftLabs is a growing data product company that was founded in early 2020, and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation. Job Responsibilities: Data Analysis and Research: Analyzing a large dataset with queries and scripts, extracting valuable signals out of noise, and producing actionable insights into how we could complete and improve a complex ML and bidding system Simulation and Modelling: Validating and quantifying the efficiency and performance gain from hypotheses through rigorous simulation and modelling Experimentation and Causal Inference: Developing a robust experiment design and metric framework, and providing reliable and unbiased insights for product and business decision making Basic Qualifications: Master's degree in a quantitative discipline or equivalent 3+ years minimum professional experience Distinctive problem-solving skills, good at articulating product questions, pulling data from large datasets and using statistics to arrive at a recommendation Excellent verbal and written communication skills, with the ability to present information and analysis results effectively Ability to build positive relationships within ShyftLabs and with our stakeholders, and work effectively with cross-functional partners in a global company Statistics: Must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models Machine Learning: Must have a deep understanding of ML algorithms (i.e., deep learning, random forest, gradient boosted trees, k-means clustering, etc.) and their development, validation, and evaluation Programming: Experience with Python, R, or other scripting language, and database language (e.g. SQL) or data manipulation (e.g. Pandas) We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.

Working with Us Challenging Meaningful Life-changing Those aren't words that are usually associated with a job But working at Bristol Myers Squibb is anything but usual Here, uniquely interesting work happens every day, in every department From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams Take your career farther than you thought possible, Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives Read more: careers bms /working-with-us , Summary The Data Scientist II will play a crucial role in supporting operational analytics across GPS to ensure products continue to serve most pressing GPS analytics needs, with potential opportunities to build new advanced analytics capabilities such as predictive modelling, simulation, and optimization The Data Scientist I should have a strong interest in solving business problems, and an eagerness to work on all parts of the analytics value chain, from partnering with IT on data pipelines to operationalizing predictive models in the service of our patients around the world, Roles & Responsibilities Conduct analysis and interpretation of complex data sets to derive meaningful insights and recommendations based on an understanding of GPS priorities, critical issues, and value levers, Collaborate with stakeholders to identify business problems, goals, and KPIs to to design, establish and maintain data pipelines, models and business facing reports and dashboards, Design, develop, and implement a broad array of GPS analytics that solve complex problems in a computationally efficient and statistically valid manner, Identify and implement enhancement and automation of high-value analytics while ensuring they continue to function efficiently, Collaborate proactively with IT teams to develop and enhance data infrastructure, data pipelines, and analytical tools for efficient data collection, processing, and analysis, Prepare reports, dashboards, and presentations to communicate analyses to stakeholders at various levels of the organization, Follow technical best practices in building, maintaining, and enhancing analytics output with scalable solutions, including code version control, pipeline management, deployment, and documentation, Provide training, guidance, and mentorship to junior analysts and team members when required, Work hours that provide sufficient overlap with standard east coast US working hours, Skills and competencies Strong analytical thinking and problem-solving skills with the ability to analyze complex data sets and draw meaningful conclusions Agile problem-solving ability and desire to learn new things and continuously improve Proficiency in statistical analysis techniques and methodologies, Strong project management skills and the ability to work independently or as part of a team, Solid understanding of digital analytics tools and platforms and version control, Strong communication skills with the ability to present complex information to non-technical stakeholders in a clear manner, Strong business acumen and strategic thinking, with the ability to translate analytical findings into actionable insights and recommendations, Experience Bachelor's or Master's degree in an analytical, engineering, operations research or scientific discipline, Proven experience (typically 3-5 years) in a data and analytics role, including direct development experience, Experience working with large datasets, data visualization tools, statistical software packages and platforms (specifically R, Python, advanced SQL, Domino, AWS, GitHub, dbt, Tableau) Experience with major GPS applications (SAP, Oracle, LIMS, Infinity, MES) is a plus, Experience with biotech product development, manufacturing operations, supply chain, and quality control is a significant plus, Experience in the biopharma industry a plus, If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway You could be one step away from work that will transform your life and career, Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as Transforming patients' lives through science?, every BMS employee plays an integral role in work that goes far beyond ordinary Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues, On-site Protocol Responsibilities BMS has an occupancy structure that determines where an employee is required to conduct their work This structure includes site-essential, site-by-design, field-based and remote-by-design jobs The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function, BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms Visit careers bms / eeo -accessibility to access our complete Equal Employment Opportunity statement, BMS cares about your well-being and the well-being of our staff, customers, patients, and communities As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters, BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area, If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers bms /california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations, Show

Data Scientist Hyderabad Exp: 4+ Years Key Responsibilities: Design, develop, and deploy Forecasting and predictive ML models in Azure Environment using pyspark. Develop and maintain ML models using Data Bricks integrate them with other Azure services. Handle end-to-end model lifecycle, including versioning control, testing, validation, and deployment in production environments (Azure Cloud). Establish and manage secure database connections and perform data extraction and manipulation using SQL. Monitor, maintain, and continuously improve deployed models for performance and accuracy. Must-Have Skills: Minimum 4+ years of experience in data science, machine learning with strong python backend. Strong hands-on experience with Microsoft Azure, with and other related services. Proficiency in Python and commonly used libraries (e.g., Pandas, NumPy, Scikit[1]learn etc.). Expertise in SQL and experience in working with relational and non-relational databases. Proven experience in developing and deploying optimization models (e.g., linear programming, mixed-integer programming). Strong understanding of model deployment pipelines and integration with business applications. Familiarity with version control (e.g., Git) and CI/CD practices.

vConstruct , a Pune based Construction Technology company seeks a Senior Data Scientist for their Data Science and Analytics team which is a tight-knit group of Data Scientists and AI Engineers along with Data Analysists and Data Engineers that support all data aspects of DPR business. This team drives up with passion of Transforming this Construction Industry by the use of cutting edge technology enabled with strong AI/ ML Solutions. Here, each and every data point starting from Pre-Construction to Post-Construction process are touch-based to leverage this data for getting predictable outcomes and automating processes for better efficiency. This team helps on various domains of construction such as Scheduling, Planning, Supply Chain, Safety, Quality Control, Site Management, Financials, & Virtual Design Construction in every phase of projects. Gain the opportunity for working over Computer Vision, Predictive, Gen AI & LLM related use cases with variety of tech stack included for implementation. Majorly, MS Azure AI Services, Open AI, CV Libraries and ML for predictive outcomes with Stats as base. Be a part of this vision of Transforming Construction Industry by Use of Technology and play vital role with talented team within vConstruct.If you're interested in contributing to construction technology within the AI/ML space, gaining exposure to the latest technologies, and working directly with end customers, please apply via the link. Location: Pune: Magarpatta or Baner Key Responsibilities: Think strategically & collaborate with cross-functional teams to identify business use cases and solutionize with scalable technical solutions. Analyze construction project data and develop predictive models using traditional data science methods and Generative AI. Apply machine learning algorithms to improve key processes such as project execution, safety, and risk assessment. Design, Lead & Own scalable end-to-end development of predictive, ML models, from hypothesis generation to deployment and monitoring. Build, validate, and optimize machine learning and statistical models using best-in-class techniques. & QC models developed by Jr. Data Scientists and ML Engg. Work closely with Engineering & business team to understand the data, business terms, processes to create, suggest and implement solutions accordingly. Stay current with advancements in data science and machine learning to help leveraging Companys data. Use statistical techniques to detect anomalies and optimize operational workflows, ensuring projects are delivered on time and within budget Collaborate with product managers and business leaders to drive the implementation of data-driven decisions. Plus to have ability of visualizing insights using BI tools. Qualification: Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 5-8 years of professional experience with atleast 3 years of experience in data science, machine learning, and analytics, with a proven track recordof delivering impactful data-driven solutions. Experience working in dynamic, fast-paced environments, with the ability to manage multiple projects simultaneously as well as should be able to do production or work on project personally as required. Proven Experience, Strong business acumen and ability to translate technical insights into actionable business strategies & communicate to stakeholders in business language. Experience working with construction-related data or similar industries (e.g., engineering, manufacturing) is a plus. Technical Skills: Expertise in programming languages such as Python, R, or Scala. Proficiency in machine learning, AI & Statistics frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong experience in statistical modeling, predictive analytics, clustering, classification, regression & multi-variate techniques. Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib). Familiarity with cloud platforms (AWS, Azure preferably), knowledge about Azure ML Services & Snowflake would be plus one Strong understanding of SQL and working with relational databases. Good to have knowledge of NLP(Natural Language Processing) and Computer Vision.