3613 Data Scientist Jobs - Page 49

Role Title: Data Scientist Function / Department: Corporate Digitalization and Analytics Location: Jogeshwari, Mumbai (On-Site) / Chennai (On-Site) About the Role: We are seeking an experienced Data Scientist (4-6 years) to lead AI-driven transformation in a globally recognized Pharma Manufacturing IIoT environment. Our AI/ML use cases have received recognition from the World Economic Forum's Global Lighthouse Network, making this a high-impact, innovation-driven role. This position involves leading multiple use cases, working on exploratory technologies, and experimenting with cutting-edge AI tools. The role also entails working on vision-based use cases using quadrupeds (robotic systems) for industrial automation and process optimization. Why Join Us? Be part of AI projects recognized by the World Economic Forum's Global Lighthouse Network. Lead AI-driven decision-making & automation in a high-impact, mission-critical pharma environment. Experiment with AI innovations & next-gen robotics (quadrupeds, computer vision). Collaborate with top industry experts in a future-focused, technology-driven environment. Key Responsibilities: Lead AI-Driven Use Cases: Develop and deploy machine learning models for predictive maintenance, yield optimization, and quality control. Computer Vision & Robotics Integration: Build and optimize vision-based analytics for Quadrupeds to automate inspections and detect anomalies. Cutting-Edge Generative AI & NLP: Implement Generative AI models (e.g., GANs, Transformers) for manufacturing insights and process automation. Big Data Processing & AI Pipelines: Work with IIoT data streams, industrial sensors, and unstructured datasets for scalable AI deployment. Interactive Analytics & Decision Intelligence: Develop high-impact dashboards and visualizations for leadership decision-making. Research & Experimentation: Explore and implement new AI tools and emerging technologies for digital transformation. Qualifications: Education: Bachelor's degree in Engineering or a Master's in Statistics, Computer Science, IT, Analytics, or related fields. Technical Skills: Programming: Proficiency in Python and libraries such as NumPy, pandas, scikit-learn. Machine Learning & Deep Learning: Experience with TensorFlow, PyTorch, and classical ML models. Computer Vision: Familiarity with OpenCV, object detection models, and industrial vision analytics. Generative AI: Exposure to GANs, NLP models, and Transformers. Big Data & IIoT: Experience with data pipelines, ETL processes, and IIoT data streams. Visualization: Expertise in Tableau, Power BI, or Plotly for interactive dashboards. Good to have: MLOps, Exposure to Azure or similar cloud platforms Skills and Competencies: Strategic Thinker: Ability to drive AI-powered decision-making in a fast-paced industrial setting. Tech Explorer: Passion for working on emerging AI technologies, robotics, and experimental AI models. Collaboration & Leadership: Comfortable working with cross-functional teams and leading projects. Problem-Solving Mindset: Strong analytical skills to handle complex industrial datasets and drive impact.

Description We are seeking a highly skilled and motivated Data Scientist with expertise in leveraging data to inform business strategy and drive product innovations. In this role, you will apply your expertise in machine learning and analytics. Responsibilities As Data Scientist you will play a crucial role in developing and implementing innovative solutions that leverage AI/ML platform to extract valuable insights from complex data sets. Your work will contribute to enhancing our data-driven decision-making processes and advancing our products and services. Responsibilities: Improve the performance of RCM processes by building and launching machine learning models such as insurance eligibility prediction Design, execute, and analyze A/B testing experiments to measure model performance and validate product hypotheses Define metrics and create dashboards to measure product performance Generate insights through deep-dive analysis to inform strategy and prioritization Collaborate with product, engineering, and marketing stakeholders to define the product roadmap Identify opportunities and initiate new data science projects that drive company OKRs Communicate technical insights effectively to influence decision-making Qualifications You have a Master’s degree in a relevant quantitative field (e.g. data science , computer science, statistics, economics) or Equivalent In Industry Experience You have 5-8 years of experience as a data scientist supporting product development You are an expert in SQL You are proficient in either R or Python for data analysis You have successfully developed and launched ML models with quantifiable business impact You have experience designing and analyzing A/B testing experiments and guide product decisions with experimental insights You are results-driven and passionate about building great products, with a proven track record of taking projects from inception to launch Job Information Technology Primary Location India-Karnataka-Bengaluru Schedule: Full-time Travel: No Req ID: 251423 Job Hire Type Experienced Not Applicable #BMI N/A

Job Title: Data Scientist Location: Bengaluru, Gurugram Experience: 5+ Years About the Role: We are looking for an experienced Data Scientist to develop and deploy AI/ML and GenAI solutions across large datasets using modern frameworks and cloud infrastructure. You’ll work closely with cross-functional teams to translate business requirements into impactful data products. Key Responsibilities: Collaborate with software engineers, stakeholders, and domain experts to define data-driven solutions. Develop, implement, and deploy AI/ML, NLP/NLU, and deep learning models. Work on preprocessing, analyzing large datasets, and deriving actionable insights. Evaluate and optimize models for performance, efficiency, and scalability. Deploy solutions to cloud platforms such as Azure (preferred), AWS, or GCP. Monitor production models and iterate for continuous improvement. Document processes, results, and best practices. Must-Have Skills: Bachelor's/Master’s in Computer Science, Data Science, Engineering, or related field. Strong programming in Python and SQL . Experience with Scikit-learn, TensorFlow, PyTorch , etc. Knowledge of ETL tools like Azure Data Factory , Databricks , Data Lake . Solid foundation in mathematics, probability, and statistics . Exposure to GenAI , Vector Databases , and LLMs . Experience working with cloud infrastructure ( Azure preferred ). Good-to-Have Skills: Experience with Flask , Django , or Streamlit . Knowledge of MLOps tools : MLFlow, Kubeflow, CI/CD. Familiarity with Docker , Kubernetes for model/container deployment. #teceze

Role: Data Scientist Experience : 8year+ Location : Ahmedabad /Hyderabad We are seeking a Data Scientist to develop and implement advanced predictive models and optimization solutions. The ideal candidate will have expertise in predictive modelling, integer programming, Python development, and cloud-based data processing. This role will involve working with large datasets, solving complex and managing cloud infrastructure for scalable solutions. Key Responsibilities: Develop and implement models using statistical methods (e.g., Bayesian models). Solve optimization problems such as bin packing, TSP, and clustering using integer programming. Develop Python-based solutions using Git/Poetry for code and library management. Work with data processing libraries such as Pandas, Polars, and others. Deploy and manage data pipelines on Databricks and Azure Blob Storage. Monitor and troubleshoot pipelines, logs, and cloud resources. Implement DevOps best practices (nice-to-have) for automation and CI/CD workflows. Utilize Power Apps/Power Automate for workflow automation and business process improvement. Ensure cloud cost optimization and performance tuning for scalable architectures. Required Skills & Qualifications: Strong experience in predictive modeling and statistical techniques (Bayesian modeling preferred). Hands-on experience with integer programming and clustering methods. Proficiency in Python, including experience with Git/Poetry for code and dependency management. Expertise in data processing libraries such as Pandas, Polars, or equivalent. Familiarity with Azure cloud services, Databricks, and Azure Blob Storage. Ability to read and analyze logs for debugging and performance monitoring. Experience with cloud management and optimizing resources. Knowledge of monitoring pipelines and troubleshooting issues. Strong problem-solving skills and ability to work with large-scale datasets. Preferred Qualifications: Exposure to DevOps practices, including CI/CD pipelines and automation. Familiarity with Power Apps/Power Automate for process automation. Strong background in cloud cost management and performance tuning

We are seeking a Data Scientist with strong manufacturing domain knowledge to turn raw OT and IT data into actionable insights. You will explore data patterns, identify value drivers, and prototype use cases like yield improvement, quality prediction, or energy optimization. This role requires strong collaboration with plant engineers and digital product owners to ensure data science solutions are practical and measurable. Key job function Analyze data from OT (sensors, PLCs, SCADA) and IT (MES, ERP) systems Build models for predictive quality, maintenance, and process analytics Prototype and test advanced analytics use cases in manufacturing settings Work with engineers to validate results and co-develop improvements Create compelling data stories and visuals for business impact using Power BI or Python Partner with AI/ML specialists to prepare data and build training pipelines

Brief Background The Data Scientist is expected to harness large volumes of complex data to generate actionable insights that fuel business strategy and innovation. This role requires expertise in advanced statistical methods, machine learning techniques, and data visualization to discover patterns, forecast outcomes, and support data-driven decision-making across the organization. What the Role needs to Achieve Transforms complex datasets into solutions, leveraging statistical expertise and machine learning to answer crucial business questions. ROLES AND RESPONSIBILITIES Data Acquisition & Preparation : Collect, clean, and preprocess structured and unstructured data from a variety of internal and external sources including databases, APIs, logs, and documents. Exploratory Data Analysis (EDA) : Investigate data sets to identify patterns, anomalies, trends, and correlations that inform hypotheses and model development. Model Development : Design, implement, and fine-tune statistical and machine learning models for tasks such as prediction, classification, segmentation, and recommendation. Model Evaluation & Optimization : Evaluate model performance using appropriate metrics (e.g., accuracy, precision, recall, AUC) and iterate to improve robustness and generalizability. Data Storytelling & Visualization : Translate complex model outputs into intuitive visualizations and business-relevant narratives using tools like Power BI, Tableau, or custom dashboards. Strategic Communication : Present findings and actionable recommendations to stakeholders in a clear and compelling manner, enabling informed decision-making across departments. Cross-functional Collaboration : Work closely with business, product, engineering, and operations teams to understand domain-specific challenges and deliver tailored data-driven solutions. Continuous Learning & Innovation : Stay abreast of the latest developments in data science, AI/ML frameworks, and big data technologies to bring cutting-edge methods into our workflows. ESSENTIAL KNOWLEDGE AND SKILLS REQUIRED Deep proficiency in Python or R, along with fluency in SQL and familiarity with core data manipulation libraries such as NumPy, Pandas, and Scikit-learn. The ability to translate complex data outputs into clear, concise, and visually compelling insights, tailored to suit both technical and non-technical stakeholders. A solid grasp of business fundamentals to connect analytical findings with strategic decision-making. A naturally analytical mindset, with a passion for uncovering insights, solving problems, and discovering meaningful patterns within data. EDUCATIONAL QUALIFICATIONS An advanced degree (Master’s or PhD) in a quantitative discipline such as Statistics, Mathematics, Computer Science, or a closely related field. EXPERIENCE 3+ years of demonstrated experience in data science, showcasing strong command of statistical modeling and machine learning techniques.

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Title: Data Scientist Location: Bangalore Reporting to: Manager- Analytics/ Senior Manager-Analytics PURPOSE OF THE ROLE Contributing to the Data Science efforts of AB InBevʼs global non-commercial analytics capability of Supply Analytics. Candidate will be required to contribute and may also need to guide the DS team staffed on the area and assess the efforts required to scale and standardize the use of Data Science across multiple ABI markets KEY TASKS AND ACCOUNTABILITIES Understand the business problem and translate that to an analytical problem; participate in the solution design process. Manage the full AI/ML lifecycle, including data preprocessing, feature engineering, model training, validation, deployment, and monitoring. Develop reusable and modular Python code adhering to OOP (Object-Oriented Programming) principles. Design, develop, and deploy machine learning models into production environments on Azure. Collaborate with data scientists, software engineers, and other stakeholders to meet business needs. Ability to communicate findings clearly to both technical and business stakeholders. Qualifications, Experience, Skills Level of educational attainment required (1 or more of the following) B.Tech /BE/ Masters in CS/IS/AI/ML. Previous Work Experience Required Minimum 3 years of relevant experience. Technical Skills Required Must Have Strong expertise in Python, including advanced knowledge of OOP concepts. Exposure to AI/ML methodologies with a previous hands-on experience in ML concepts like forecasting, clustering, regression, classification, optimization using Python. Azure Tech Stack, Databricks, ML Flow in any cloud platform Airflow for orchestrating and automating workflows. MLOPS concepts and containerization tools like Docker. Experience with version control tools such as Git. Consistently display an intent for problem solving. Strong communication skills (vocal and written). Ability to effectively communicate and present information at various levels of an organization. Good To Have Preferred industry exposure in Manufacturing Domain. Product building experience. Other Skills Required Passion for solving problems using data. Detail oriented, analytical and inquisitive. Ability to learn on the go. Ability to work independently and with others. We dream big to create future with more cheers!

About Company Process9 is Indias leading language technology company, poised for a major growth in the domestic and global geographies, to vie for a global leadership in the language technology space. Process9 is the next Unicorn candidate to watch out for. Language services is a $50 billion global industry, while the language market in India is growing by over 30% year-on-year. Process9 is bringing Multilingual Transformation to Enterprises, to make their Digital Transformation complete and scalable. More than 80% of Indian population is not English savvy whereas over 98% of Internet content in India is in English. The need for local language content in India is growing like wild fire. Process9 intends to meet the language needs of the industry and Govt to capture a large share of this unmet need. Being a B2B and SaaS based software company, we develop middleware application platforms for language localization of websites, mobile apps, enterprise applications, digital transaction journeys, digital documents and much more. We develop the best-in-class Natural Language Processing (NLP) software using AI/ML technologies for translation, language processing and voice applications for Indian and global languages that are used by hundreds of leading enterprises in India and now attracting global users on the Internet and Smartphones. Our goal is to connect with all digital users regardless of their native languages and make localization easy-to-use and commercially viable for e-businesses We were one of the finalists in the TOP35 INNOVATIONS at the CNN-IBN networked India campaign. For more information, please visit our website: https://process9.com/ Position: Sr. Data Scientist (Multilingual AI/ML) Location: Gurgaon, Haryana We are seeking an experienced Data Scientist to spearhead our multilingual AI/ML initiatives, focusing on natural language processing, speech technologies, and domain-specific model development. The ideal candidate will have extensive experience in training and fine-tuning transformer-based models, speech recognition/synthesis systems, and large language models for specialized applications. Job Responsibilities: Development of multilingual transformer models for machine translation (OpenNMT) and TTS/STT systems (Coqui TTS). Fine-tune Whisper models for speech to text Fine-tune LLMs for fintech/other domain. Build Agentic chatbots using LangChain/LlamaIndex. Design synthetic data pipelines and cross-lingual training strategies. Mentor team members and drive model deployment with engineering teams. Desired Profile: 4+ years experience in ML/NLP. Strong Python, PyTorch/TensorFlow, and Hugging Face expertise. Experience with MLOps, Docker/Kubernetes, and cloud platforms (AWS/GCP/Azure). Knowledge of data privacy and compliance requirements, especially in fintech contexts

Job Description Enthusiastic and self-motivated, with ability to execute Supply Chain Analytics projects proactively Meticulous attention to detail, with an overall passion for continuous improvement Innovative and creative, with a logical and methodical approach to problem solving Credible and articulate, with excellent communication, presentation, and interpersonal skills Responsibilities Execute high impact business projects with time bound and effective project management leveraging tools like Rally, Jira Gather business requirements and convert them into analytical problems and identify relevant tools, techniques, and an overall framework to provide solutions Use statistical methodologies leveraging analytical tools to support different business initiatives Continual enhancement of statistical techniques and their applications in solving business objectives Compile and analyze the results from modeling output and translate into actionable insights through dashboards Acquire and share deep knowledge of data utilized by the team and its business partners Participate in global conference calls and meetings as needed and manage multiple customer interfaces Execute analytics special studies and ad hoc analyses in a quick turn around time Evaluate new tools and technologies to improve analytical processes Efforts will focus on the following key areas: Domain – Supply Chain Analytics Hands on with Machine Learning Good understanding of various classical Statistical techniques such as Regression, Multivariate Analysis Data & Text Mining, NLP, Gen AI, Large Language Models, Time Series based forecasting modeling Experience with SQL and data warehousing (e.g. GCP/Hadoop/Teradata/Oracle/DB2) Experience using tools in BI, ETL, Reporting /Visualization/Dashboards - Qliksense/Power BI etc. Programming experience in languages like Python Exposure to Bigdata based analytical solutions Good Soft Skills - able to communicate clearly with stakeholders Good Analysis and problem-solving skills. Ability to get Insights from Data, provide visualization, and storytelling. Flexibility to explore and work with newer technologies and tools. Ability to learn quickly, adapt, and set direction when faced with ambiguous scenarios. Excellent collaborative communication and Team skills Qualifications Bachelors/Masters Candidates should have significant hands-on experience with analytics projects or related quantitative techniques across various functions Candidates will be expected to successfully prioritize and manage multiple analytical projects Good technical depth with strong analytical/programing skills and ability to apply technical knowledge Experience in Python, SQL, GCP or any other Cloud Platforms highly desired

Forvia, a sustainable mobility technology leader We pioneer technology for mobility experience that matter to people. Your Mission, Roles And Responsibilities The main missions of the role are: 3-5 years experience in AI Experience performing quantitative research with Computer vision, Machine learning, Deep learning and associated implementation of algorithms. Strong programming skills in Python and familiarity with other languages like R Experience data analysis techniques Working experience Pandas and other AI related libraries Strong understanding of Supervised, Unsupervised learning and Deep Learning algorithms Strong understanding of Azure DevOps and CI/CD pipeline creation for AI projects Experience in creating dashboards or webpage using Plotly Dash or similar tools Understanding of MLOps practices for deploying and maintaining ML models in production Experience in deploying Generative AI models Your profile and competencies to succeed Education : Degree or Master's degree in Computer Science/ Electronics/ Artificial Intelligence Skills & Attributes Advanced English Fast learner and Problem solving High level of integrity, accountability and transparency International working mindset What We Can Do For You At Forvia, you will find an engaging and dynamic environment where you can contribute to the development of sustainable mobility leading technologies. We are the seventh-largest global automotive supplier, employing more than 157,000 people in more than 40 countries which makes a lot of opportunity for career development. We welcome energetic and agile people who can thrive in a fast-changing environment. People who share our strong values. Team players with a collaborative mindset and a passion to deliver high standards for our clients. Lifelong learners. High performers. Globally minded people who aspire to work in a transforming industry, where excellence, speed, and quality count. We cultivate a learning environment, dedicating tools and resources to ensure we remain at the forefront of mobility. Our people enjoy an average of more than 22 hours of online and in-person training within FORVIA University (five campuses around the world) We offer a multicultural environment that values diversity and international collaboration. We believe that diversity is a strength. To create an inclusive culture where all forms of diversity create real value for the company, we have adopted gender diversity targets and inclusion action plans. Achieving CO2 Net Zero as a pioneer of the automotive industry is a priority: In June 2022, Forvia became the first global automotive group to be certified with the new SBTI Net-Zero Standard (the most ambitious standard of SBTi), aligned with the ambition of the 2015 Paris Agreement of limiting global warming to 1.5°C. Three principles guide our action: use less, use better and use longer, with a focus on recyclability and circular economy. Why join us FORVIA is an automotive technology group at the heart of smarter and more sustainable mobility. We bring together expertise in electronics, clean mobility, lighting, interiors, seating, and lifecycle solutions to drive change in the automotive industry. With a history stretching back more than a century, we are the 7th largest global automotive supplier, employing more than 157,000 people in 43 countries. You'll find our technology in around 1 out of 2 vehicles produced anywhere in the world. In June 2022, we became the 1st global automotive group to be certified with the SBTI Net-Zero Standard. We have committed to reach CO2 Net Zero by no later than 2045. As technological innovation and the need for sustainability transform the automotive industry, we are ideally positioned to deliver solutions that will enhance the lives of road-users everywhere.

Responsibilities : Manipulate and preprocess structured and unstructured data to prepare datasets for analysis and model training. Utilize Python libraries like PyTorch, Pandas, and NumPy for data analysis, model development, and implementation. Fine-tune large language models (LLMs) to meet specific use cases and enterprise requirements. Collaborate with cross-functional teams to experime ... nt with AI/ML models and iterate quickly on prototypes. Optimize workflows to ensure fast experimentation and deployment of models to production environments. Implement containerization and basic Docker workflows to streamline deployment processes. Write clean, efficient, and production-ready Python code for scalable AI solutions. Good to Have: Exposure to cloud platforms like AWS, Azure, or GCP. Knowledge of MLOps principles and tools. Basic understanding of enterprise Knowledge Management Systems. Ability to work against tight deadlines. Ability to work on unstructured projects independently. Strong initiative and self-motivated Strong Communication & Collaboration acumen. Required Skills: Proficiency in Python with strong skills in libraries like PyTorch, Pandas, and NumPy. Experience in handling both structured and unstructured datasets. Familiarity with fine-tuning LLMs and understanding of modern NLP techniques. Basics of Docker and containerization principles. Demonstrated ability to experiment, iterate, and deploy code rapidly in a production setting. Strong problem-solving mindset with attention to detail. Ability to learn and adapt quickly in a fast-paced, dynamic environment. What we Offer: Opportunity to work on cutting-edge AI technologies and impactful projects. A collaborative and growth-oriented work environment. Competitive compensation and benefits package. A chance to be a part of a team shaping the future of enterprise intelligence.

Company Description AnkTechSol is an India-first data strategy and AI innovation company based in Pune. We focus on simplifying complex ideas into actionable insights to empower startups and enterprises in harnessing data with purpose, privacy, and impact. We have multiple units under us: 🔹 Vidyantrik — An interactive learning platform empowering students and professionals with hands-on tech education. 🔹 AnkTechSol — Powering data-native innovation for a smarter Bharat. 🔹 DataDhan — Turn your idle data into a privacy-first revenue stream. 🔹 TechnologAI — Build faster with India-first AI agents tailored for your workflows. 🔹 SarvaData — A unified, modular platform to clean, track, and monetize your data pipelines. Role Description This is a full-time on-site role for a Data Scientist at AnkTechSol in Pune. The Data Scientist will be responsible for tasks such as data science, statistics, data analytics, data visualization, and data analysis to provide actionable insights to our clients. Qualifications Data Science and Statistics skills Data Analytics and Data Visualization skills Data Analysis expertise Strong analytical and problem-solving skills Proficiency in programming languages like Python or R Experience with machine learning algorithms Excellent communication and presentation skills Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field

Job Title: Senior Data Scientist – Big Data & Analytics Location: Bangalore Required Skills & Experience Python, Machine Learning, Databases, Statistics, Modeling, Data Visualization, cloud technologies, Big Data, Data Engineering, ETL Processes, Kafka,Spark, Hadoop, Looker, Tableau, Power BI, Cloud Computing,data mining, Data Gathering,ML modelling, JD As below: Key Responsibilities: • Mines and extracts data and applies statistics and algorithms necessary to derive insights for Digital products and or services. • Supports the generation of an automated insights generation framework for business partners to effectively interpret data • Provides actionable insights through data science on Personalization, Search & Navigation, SEO & Promotions, Supply Chain, Services, and other related services . • Develops dashboard reports that measure financial results, customer satisfaction, and engagement metrics • Conducts deep statistical analysis, including predictive and prescriptive modeling in order to provide the organization a competitive advantage • Maintains expert-level knowledge on industry trends, emerging technologies, and new methodologies and applies it to projects • Contributes subject-matter expertise on automation and analytical projects, collaborating across functions • Translates requirements into an analytical approach; asks the right questions to understand the problem; validates understanding with Stakeholder or Manager • Contributes for building the analytic approach to solving a business problem; helps identify the sources, methods, parameters, and procedures to be used; clarifies expectations with stakeholders • Leverages deep understanding of statistical techniques and tools to analyze data according to the project plan; communicates with stakeholders to provide updates • Prepares final recommendations, ensuring solutions are best-in-class, implementable and scalable in the business • Executes plans for measuring impact based on discussions with stakeholders, partners and senior team members • Executes projects with full adherence to enterprise project management practices

We are seeking a skilled data scientist to join our team. The ideal candidate should have experience working with large data sets, using statistical, generative AI and machine learning techniques to extract insights, automate processes and build predictive models. The candidate should be able to work independently and be adept at problem solving. Role & responsibilities Contribute to digital transformation of Aircraft Engineering through aircraft health monitoring, predictive maintenance, performance monitoring, defect analytics, etc. with the objective of optimizing TAT, fuel consumption or maintenance cost Fine-tune, deploy, and optimize transformer-based models for knowledge retrieval, summarization and workflow automation tasks Use natural language processing for parsing, querying, and extracting insights from complex domain-specific texts such as aircraft maintenance manuals Develop predictive models using statistical and machine learning techniques Conduct hypothesis testing and experimentation to validate models, by working in close coordination with Airline Engineering department Collaborate with cross-functional teams to monitor performance of implemented models & applications Develop and maintain data pipelines and dashboards for tracking key performance metrics Communicate findings and recommendations to stakeholders through visualizations, presentations, and reports Preferred candidate profile Bachelors or Master’s degree in Computer Science, Statistics, Mathematics, or a related field 2-5 years of experience as a Data Scientist Expertise in complete data science pipeline - data acquisition, exploratory data analysis, feature engineering, modelling, generation of insights and visualizations, and monitoring Strong grasp of prompt engineering, RAG techniques, and vector database integration for context-aware recommendations Familiarity with entity recognition, relation extraction, and building agentic frameworks using MCP and tools like LangChain to automate workflows is strongly desired Proficiency in programming languages such as Python/SQL. Experience with Airbus Skywise, Azure or PySpark would be a plus

TCS HIRING !!! Role : Data Scientist Required Technical Skill Set : Data Science Experience: 3-8 years Locations: Kolkata,Hyd,Bangalore,Chennai,Pune Job Description: Must-Have** (Ideally should not be more than 3-5) Proficiency in Python or R for data analysis and modeling. Strong understanding of machine learning algorithms (regression, classification, clustering, etc.). Experience with SQL and working with relational databases. Hands-on experience with data wrangling, feature engineering, and model evaluation techniques. Experience with data visualization tools like Tableau, Power BI, or matplotlib/seaborn. Strong understanding of statistics and probability. Ability to translate business problems into analytical solutions. Good-to-Have Experience with deep learning frameworks (TensorFlow, Keras, PyTorch). Knowledge of big data platforms (Spark, Hadoop, Databricks). Experience deploying models using MLflow, Docker, or cloud platforms (AWS, Azure, GCP). Familiarity with NLP, computer vision, or time series forecasting. Exposure to MLOps practices for model lifecycle management. Understanding of data privacy and governance concepts.

Role Overview: We are looking for a skilled Data Scientist with expertise in data analytics, machine learning, and AI to join our team. The ideal candidate will have a strong command of data tools, programming, and knowledge of LLMs and Generative AI, contributing to the growth and automation of our business processes. Key Responsibilities: Data Analysis & Visualization: Develop and manage d ata pipelines, ensuring data accuracy and integrity. Design and implement insightful dashboards using Power BI to help stakeholders make data-driven decisions. Extract and analyze complex data sets using SQL to generate actionable insights 2 Machine Learning & AI Models: Build and deploy machine learning models to optimize key business functions like discount management, lead qualification, and process automation. Apply Natural Language Processing (NLP) techniques for text extraction, analysis, and classification from customer documents. Implement and fine-tune Generative AI models and large language models (LLMs) for various business applications, including prompt engineering for automation tasks. 3 Automation & Innovation: Use AI to streamline document verification, data extraction, and customer interaction processes. Innovate and automate manual processes, creating AI-driven solutions for internal teams and customer-facing systems. Stay abreast of the latest advancements in machine learning, NLP, and generative AI, applying them to real-world business challenges. Qualifications: Bachelor's or Masters degree in Computer Science, Data Science, Statistics, or related field. 4-7 years of experience as a Data Scientist, with proficiency in Python, SQL, Power BI, and Excel. Expertise in building machine learning models and utilizing NLP techniques for text processing and automation. Experience in working with large language models (LLMs) and generative AI to create efficient and scalable solutions. Strong problem-solving skills, with the ability to work independently and in teams. Excellent communication skills, with the ability to present complex data in a simple, actionable way to non-technical stakeholders.

Role & responsibilities Exp:- 6 to 10Years Location: Mumbai/Bangalore/Gurugram 6+ years of experience in Data Science , Machine Learning , or related fields with a focus on Generative AI models (LLMs) . Expert proficiency in Python programming and experience with machine learning frameworks (e.g., TensorFlow , PyTorch ). Hands-on experience with cloud platforms (AWS, GCP, Azure), including deployment and solution building . Ability to work with Docker , Kubernetes , and API Development to deploy generative AI models. Strong analytical, problem-solving , and critical thinking skills. Expertise in ethical AI practices and understanding of the biases and regulations surrounding Generative AI . Excellent verbal and written communication skills, with the ability to clearly convey complex concepts to diverse audiences.

Mid-level MMM candidate with 6-8 years overall experience - 6-8 years of experience in Data Science with at least 4 years hands-on experience in Marketing Mix Modelling (having brand equity modelling experience would be beneficial) Experienced in end-to-end MMM solution development - Gathering requirements, Data Processing, EDA, Modelling (both Short Term & Long Term), Optimization etc. Good knowledge of Marketing domain, ATL/BTL marketing and clear understanding of concepts like adstock/carryover, saturation etc. Deep understanding of various algorithms applicable in MMM (additive and multiplicative models, Bayesian Regression etc.) Familiar with open source MMM packages like PyMC, Robyn, Meridian etc. Well versed with optimization techniques and prior experience of solving media budget optimization problems in Python/R Strong coding skills in Python is a must. Ability to develop production level codes with best coding practices. Experience with Git. Must have good stakeholder management skills and independently drive day to day engagements

Share resume to : sowmya.v@acesoftlabs.com Position : Data Scientist Location : Hyderabad /Ahmedabad We are seeking a Data Scientist to develop and implement advanced predictive models and optimization solutions. The ideal candidate will have expertise in predictive modeling, integer programming, Python development, and cloud-based data processing. This role will involve working with large datasets, solving complex and managing cloud infrastructure for scalable solutions. Key Responsibilities: Develop and implement models using statistical methods (e.g., Bayesian models). Solve optimization problems such as bin packing, TSP, and clustering using integer programming. Develop Python-based solutions using Git/Poetry for code and library management. Work with data processing libraries such as Pandas, Polars, and others. Deploy and manage data pipelines on Databricks and Azure Blob Storage. Monitor and troubleshoot pipelines, logs, and cloud resources. Implement DevOps best practices (nice-to-have) for automation and CI/CD workflows. Utilize Power Apps/Power Automate for workflow automation and business process improvement. Ensure cloud cost optimization and performance tuning for scalable architectures. Required Skills & Qualifications: Strong experience in predictive modeling and statistical techniques (Bayesian modeling preferred). Hands-on experience with integer programming and clustering methods. Proficiency in Python, including experience with Git/Poetry for code and dependency management. Expertise in data processing libraries such as Pandas, Polars, or equivalent. Familiarity with Azure cloud services, Databricks, and Azure Blob Storage. Ability to read and analyze logs for debugging and performance monitoring. Experience with cloud management and optimizing resources. Knowledge of monitoring pipelines and troubleshooting issues. Strong problem-solving skills and ability to work with large-scale datasets. Preferred Qualifications: Exposure to DevOps practices, including CI/CD pipelines and automation. Familiarity with Power Apps/Power Automate for process automation. Strong background in cloud cost management and performance tuning

Strong experience in GCP, Vertex AI or ML & Deep learning Good-to-Have • Proven experience (2+ years) with GCP and implementing production workloads on it • Proven experience (1+ years) with Search engine development and deployment • Proven experience (1+ years) with Search engine development and deployment SN Responsibility of / Expectations from the Role • Proven experience (5+ years) in large scale AI\ML\DS development and deployment • Proven work and experience (3+ years) with handling large volumes of data • Deep knowledge and experimentation with Gen Ai and associated components • Strong knowledge and experience (5+ years) with of Python and SQL preferred • Proven Experience (2+ years) with Gen AI and its components like Proprietary LLMs, custom LLM deployments, Vector Search, fine-tuning models • Proven experience (2+ years) with Search engine development and deployment as hybrid search, re-ranking algorithms, sparse and dense embedding generation and usage • Proven experience with development and deployment of low latency search applications

You will be responsible for developing and training machine learning models that leverage drone, satellite, and real-time video data to tackle complex visual understanding tasks. Your primary focus will be on building ML/DL models for image and video classification, segmentation, and spatiotemporal analysis. Additionally, you will be tasked with developing fusion methods that align and merge data from satellite, drone, and ground footage sources. To excel in this role, you must have a minimum of 10-12 years of relevant experience. You should possess strong Python coding skills along with expertise in data manipulation using libraries such as NumPy, Pandas, and SciPy. Proficiency in vision/model libraries such as MMDetection, Detectron2, and OpenCV is essential. Moreover, you must have hands-on experience in deep learning frameworks like PyTorch and TensorFlow, particularly in developing video models with TimeSformer, SlowFast, I3D, Yolo, among others. Your expertise should extend to satellite/drone geospatial fusion, GPS/IMU metadata, and scene alignment. Familiarity with time series analysis, motion tracking, and optical flow techniques (e.g., RAFT, FlowNet) is beneficial. In addition, knowledge of remote sensing libraries like Rasterio, GDAL, GeoPandas, and xarray will be advantageous for this role. Your responsibilities will also include model evaluation and optimization across various data sources, ensuring the delivery of high-quality solutions that contribute to the future of intelligence gathering.,

We are looking for a Senior Machine Learning Engineer to join RCM (Revenue Cycle Management) products managing claims, billing and payment processes for healthcare practices. You will work with the team to develop and deploy machine learning models to automate and optimize RCM processes. This role focuses on developing customized models and innovative solutions which can integrate into enterprise applications, ensuring high reliability, security and scalability by following best practices. About you: You love to own important work and find it difficult to turn down a good challenge. You are excited about the latest developments in ML and keep abreast of the latest methods and technologies. You have experience building and evaluating ML models. You have strong communication skills and can work with colleagues from a variety of technical and non-technical backgrounds. Finally, you have a strong interest in improving healthcare. About the team The athenaCollector product is a vital component of the athenaOne platform, processing billions in client revenue annually. The Data Science team is bringing machine learning to bear against the hardest problem in revenue cycle management in healthcare. We are working with other engineering leaders in athenaCollector product to build machine learning into our Best in KLAS suite of products to drive innovation and increase automation. Also, this team is responsible to deploy state-of-the-art machine learning models using cloud technologies. Job Responsibilities As a member of the athenaCollector Data Science team, you are expected to work on projects within scrum teams of 2-4 people and execute the following: Identify opportunities for different machine learning techniques and evaluate which are best Assist in developing and deploying ML-based production services to our clients Understand and follow conventions and best practices for modeling, coding, architecture, and statistics; and hold other team members accountable for doing so Apply rigorous testing of statistics, models, and code Contribute to the development of internal tools and AI team standards Typical Qualifications: Bachelors or Masters in relevant field: Math, Computer Science, Data Science, Statistics, or related field 4-8 years of professional hands-on experience in developing, evaluating & deploying machine learning models Experience with Python, SQL , Unix Experience with development and implementation of Deep Learning Models with complex neural network architectures is a bonus Experience with training & fine tuning LLMs & GenAI models is a bonus. Familiarity with NLP or computer vision techniques Experience using the AWS ecosystem a bonus, including Kubernetes, Kubeflow or EKS experience Excellent verbal communication and writing skills

About the Role: We're looking for a data-driven Senior Marketing Analyst to join our growing team. In this role, you'll help shape and optimize our customer acquisition, retention, and revenue strategies across third-party delivery platforms in the US. You'll deliver insights that maximize ROI and help us scale profitably Key Responsibilities > Analyze performance of marketing campaigns run on and off-platform (Delivery Platform promotions, ads, incentives, Google, Meta, etc.) to measure ROI and identify growth opportunities. > Monitor and report on customer acquisition costs, retention cohorts, order frequency, and LTV across platforms. > Build dashboards to track spend, conversion funnels, and partner campaign effectiveness. Work cross-functionally with Growth, Ops, and Partnerships teams to test and optimize promotions and incentives. > Develop customer segmentation to identify high-value user segments and target them effectively. > Design and interpret A/B tests to evaluate promotional offers, menu optimizations, pricing tests, and seasonal campaigns. > Analyze impact of operational metrics (delivery time, order accuracy) on customer behavior and repeat usage. > Present findings and recommendations to Marketing, Finance, and Executive teams to guide budget and strategy decisions. Required Qualifications > Bachelor's or Master's degree in Marketing Analytics, Business, Economics, Statistics, or related field. 4+ years in marketing analytics, performance marketing, or growth analytics - preferably in on-demand delivery, QSR, e-commerce, or marketplaces. > Strong proficiency in SQL; experience with BI tools like Looker, Tableau, or Power BI. > Deep understanding of 3rd-party delivery platforms and how marketing levers drive conversion and repeat orders. > Experience measuring and optimizing CAC, LTV, churn, and promotional ROI. > Hands-on experience designing A/B tests and analyzing results. > Ability to translate data into actionable insights for cross-functional teams. > Strong communication and presentation skills. · Customer facing experience Preferred Qualifications • Familiarity with CRM and marketing automation tools (Airtable, HubSpot). • Experience working with partners to co-fund and measure joint campaigns. • Working knowledge of Python or R for advanced analytics. · Previous experience a high-growth startup or on-demand delivery environment.

About Client: Our Client is a multinational IT services and consulting company headquartered in USA, With revenues 19.7 Billion USD, with Global work force of 3,50,000 and Listed in NASDAQ, It is one of the leading IT services firms globally, known for its work in digital transformation, technology consulting, and business process outsourcing, Business Focus on Digital Engineering, Cloud Services, AI and Data Analytics, Enterprise Applications ( SAP, Oracle, Sales Force ), IT Infrastructure, Business Process Out Source. Major delivery centers in India, including cities like Chennai, Pune, Hyderabad, and Bengaluru. Offices in over 35 countries. India is a major operational hub, with as its U.S. headquarters. Job Title : Machine Learning-Data Scientist Key Skills : Python, ML, NLP (LDA, embeddings, RAG) Job Locations : Pune Experience : 7+ Years. Education Qualification : Any Graduation. Work Mode : Hybrid. Employment Type : Contract. Notice Period : Immediate Job Description: Python, ML, NLP (LDA, embeddings, RAG), AI techniques, LLM-based matching (e.g., GPT/embeddings), timeseries forecasting Django is essential Experience with Databricks, Azure ML Stack, OpenAI API, Spark, and fuzzy matching would be a plus. Builds and deploys ML pipelines (incl. MLOps, API endpoints, CI/CD) Works with Langchain, Azure Synapse, Kubernetes, and modern ML frameworks

Responsibilities: ● Lead the development of sophisticated customer science models including churn prediction, customer segmentation frameworks, and lifetime value (LTV) models ● Translate complex business problems into analytical solutions that address marketing use cases ● Oversee data pipeline development and optimization across cloud platforms ● Mentor and develop a team of data scientists, fostering a culture of innovation and excellence ● Collaborate with cross-functional teams to implement and measure the impact of data-driven strategies ● Establish best practices for model development, validation, and deployment Qualifications: ● Minimum 6 years of experience building customer science models, particularly in churn modelling, segmentation frameworks, and LTV modelling ● Strong proficiency in Python for data manipulation, analysis, and model development ● Demonstrated experience working with cloud platforms including GCP and AWS ● Expert-level knowledge of big data technologies including Big Query and AWS Redshift ● Experience applying data science to marketing use cases and problems ● Excellent communication skills with the ability to explain complex concepts to non-technical stakeholders ● Bachelor's degree in a quantitative field (Computer Science, Statistics, Mathematics, or related) Technical Skills: ● Experience with AWS EMR Studio ● Advanced degree (MS/PhD) in a quantitative discipline ● Experience leading data science teams ● Knowledge of ML-Ops practices and tools ● Understanding of the Indian market dynamics and customer behaviour Soft Skills ● Strong analytical and problem-solving abilities ● Good communication and presentation skills ● Business acumen ● Collaborative team player ● Strong organizational skills Job Type: Full-time Pay: ₹1,800,000.00 - ₹2,200,000.00 per year Benefits: Health insurance Leave encashment Life insurance Paid sick time Paid time off Provident Fund Application Question(s): What is your Current CTC? What is your Expected CTC? Experience: Data science: 5 years (Preferred) Location: Mumbai, Maharashtra (Preferred) Work Location: In person Application Deadline: 27/07/2025 Expected Start Date: 18/08/2025