1577 Data Scientist Jobs - Page 46

Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, Equipment Monitoring, and Site Visibility. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role: Samsara Technologies India Private Limited is seeking a Data Scientist to advance our data-driven efforts in sales, marketing, and customer success. As part of the Data Science and AI team in Revenue Operations, this role focuses on designing and delivering predictive models, refining AI-based scripts to validate, augment, and test the accuracy of business critical data, and establishing the quality measurement, lineage, and input pipelines of that data. You'll collaborate closely with stakeholders in BizTech, Marketing, Sales, and Operations to unlock insights, automate processes, and enhance the operational efficiency of the sales organization. This hybrid position requires 3 days per week in our Bangalore office and 2 days working remotely. This position requires working hours in IST. Relocation assistance will not be provided for this role. You should apply if: You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely. You have an innate curiosity about how businesses work: One day you'll meet with someone in waste management and the next you may be learning about the inner workings of a food distribution center. Our top sales team members seek to learn the ins and outs of the businesses they support in order to make a larger impact. You build genuine relationships with your customers: The industries we serve have relied on pen-and-paper solutions for years and haven't been met with the type of technology we offer. Our customer's value earned trust and human relationships built over time. You want to be with the best: Samsara's high-performance culture means you'll be surrounded by the best and challenged to go farther than you have before. You are a team player: At Samsara, sales is a team sport. We help each other out by sharing best practices and focusing on winning as a team. In this role, you will: Estimate revenue opportunity models and conduct impact analysis as part of the annual strategic planning cycle to guide GTM and investment decisions. Leverage LLMs and other AI tools to systematically validate account-level data, enabling dynamic quality measurement scores and continuous trust in business-critical data. Generate predictive models and triangulate from multiple inputs —CRMs, web data, third-party signals—to drive data accuracy and establish reliable sources of truth. Establish scalable data pipelines from internal systems to generate and sustain baseline data programs supporting cross-functional initiatives. Contribute to the development of predictive analytics tools , such as sales performance dashboards, pipeline forecasting models, and KPI frameworks, to enhance operational efficiency. Collaborate cross-functionally with Sales, Marketing Ops, BizTech, and Enablement teams to automate insights, enrich GTM execution, and accelerate business outcomes. Champion, role model, and embed Samsara's cultural principles — Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team —as we scale globally and across new offices. Minimum requirements for the role: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. 6+ years of experience in data science, AI engineering, or advanced analytics roles. Proficiency in Python, SQL, and tools such as Tableau for building analytics and dashboards. Experience developing and deploying ML models to support sales/revenue strategies. Hands-on experience with CRMs and sales/marketing data pipelines. Exposure to LLM-based tools and GenAI for data enrichment or automation tasks. Strong analytical, communication, and project management skills. An ideal candidate also has: Familiarity with MLOps tools (Docker, Kubernetes), model versioning, and deployment workflows. Experience with AI observability, monitoring, and guardrail implementation for responsible AI. Exposure to ETL/data engineering processes and modern cloud platforms (AWS preferred). Strong business acumen and curiosity to understand operational processes in physical industries, strong attention to detail. Experience analyzing B2B marketing channels, account-level data accuracy, and lifecycle optimization. Entrepreneurial mindset, able to work from 0 1 and iterate rapidly in ambiguous environments. #LI-Hybrid At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact. Benefits Full time employees receive a competitive total compensation package along with employee-led remote and flexible working, health benefits, Samsara for Good charity fund, and much, much more. Take a look at our Benefits site to learn more. Accommodations Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email [email protected] or click here if you require any reasonable accommodations throughout the recruiting process. Flexible Working At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual's ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. Fraudulent Employment Offers Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in '@samsara.com' or '@us-greenhouse-mail.io'. For more information regarding fraudulent employment offers, please visit our blog post here.

Share this job About The Company The Hitachi Energy India Operations Center (INOPC) houses over 3,000 energy transition technologists in three locations from grid automation, transformers, high voltage products, grid integration and service businesses. Spread over 3,00,000 sq feet, with nearly 50,000 sq feet of dedicated lab space, the center brings under one roof diverse engineering capability that has been built over the years, fostering collaboration to advance the world’s energy system to be more sustainable, flexible and secure. INOPC supports Hitachi Energy units across 40+ countries to deliver projects in 80+ countries. We are technology leaders at the forefront of evolving the world’s future energy system. The rising energy consumption with changing lifestyles and rapid urbanization, is driving the need for affordable, reliable and sustainable energy. Our innovative technologies help to make the energy system more resilient, secure and safe. Electricity will be the backbone of the carbon-neutral future and together, with customers and partners, we are co-creating solutions that are helping to accelerate the energy transition. Customers count on our technologies to help them to integrate huge volumes of renewable energy into the world’s grids and manage increasing levels of complexity; and our technologies are also instrumental to the electrification of transportation, industry and smart life sectors. The center equally focuses on catering to grow complexity in domestic and international grids and is a key lever for Hitachi Energy’s growth globally. The Opportunity Full responsibility of driving marketing and sales function initiatives along with Pricing specialist to support business for improving profitability, identifying the demand market, behavior analysis of products. Strong technical leadership to the team in analyzing the business by developing models which allow to make efficient decision making to improve business opportunities & profitability. You are responsible for supporting the Sales and Strategic Marketing functions of the global Business Unit (BU) High Voltage in understanding market, competitor trends and Price performance by developing and implementing state-of-the-art data Analytics systems as well as process and tool support. How You’ll Make An Impact Responsible for supporting the Sales and Strategic Marketing functions of the global Business Unit (BU) High Voltage in understanding market, competitor trends and Price performance by developing and implementing state-of-the-art data Analytics model as well as process and tool support. Understand the product & market segmentation of portfolio and build know-how of data eco systems in various process involved in Business. Prepare reports with clear information understanding the raw information and interpret the date in optimized KPIs (target achievement, Price performance, Order trend, pipeline development, etc), profitability. Collaborate with Global, HUB & Pricing specialist to develop and implement competitive strategies, etc. Be in charge of the development and updation of models using Python as well as related user training in order to increase the analytical capabilities of our sales management around the globe. Responsible to continuously improve process performance and data quality Document and follow the guidelines for the efficient business Assess data from different sources to gain insights into pricing strategies and market trends. Analyze historical sales data to identify trends, patterns, and insights that can drive business decisions. Develop and implement predictive models to forecast future sales and demand for power system products. Collaborate with CFT to understand business requirements and translate them into analytical solutions. Perform data cleaning, preprocessing, and validation to ensure data quality and accuracy. Utilize machine learning algorithms and statistical techniques to build robust models. Continuously monitor and improve model performance based on feedback and new data. Stay updated with the latest industry trends and advancements in data science and machine learning. Living Hitachi Energy’s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business Your Background Bachelor's or master's degree in data science, Statistics, Computer Science, or a related field. Proven experience in data analysis, modeling, and machine learning. Proficiency in programming languages such as Python, R, or SQL. Strong understanding of statistical methods and machine learning algorithms. Experience with data visualization tools like Tableau, Power BI, or similar. Excellent problem-solving skills and attention to detail. Ability to work independently and as part of a team. Knowledge of big data technologies and cloud platforms. Strong communication skills to effectively convey complex analytical concepts to non-technical stakeholders. Any graduation (Science, Statistics, Computer applications, Engineering) 4-7 years relevant experience Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams. Attention to detail and a commitment to delivering high-quality digital solutions Apply now Location Chennai, Tamil Nadu, India Job type Full time Experience Experienced Job function Sales, Marketing & Product Management Contract Regular Publication date 2025-05-29 Reference number R0090714 Show more Show less

Data Scientist :- Bangalore, Chennai, Pune Location India - Bangalore, Chennai, Pune Salary INR 700000 - 900000 Experience 2 - 4 Years Compensation Details Role: Data ScientistExperience Level: Bachelor’s/Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field from a reputed institute. Candidates with 2 years of work experience preferred.Position overview: We are seeking a Data Scientist with a strong background in Machine Learning, Natural Language Processing (NLP), Generative AI, and Retrieval-Augmented Generation (RAG). The ideal candidate will possess 1+ years of hands-on experience in developing and deploying advanced data-driven solutions. You will play a key role in our AI-CoE team, contributing to cutting-edge projects that drive innovation and business value. A special focus area for this role would be to build AI enabled products that would result in the creation of monetizable product differentiators for Tata Communications products and services.Detailed job description & Key Responsibilities: Develop, Test, and Deploy machine learning models for various business and Telco use cases. Perform data preprocessing, feature engineering and ML/DL model evaluation. Optimize and fine-tune models for performance and scalability. Good understanding of NLP concepts and projects involving entity recognition, text classification, and language modelling like GPT/Llama/Claude/Grok Build and refine RAG models to improve information retrieval and answer generation systems. Integrate RAG methods into existing applications to enhance data accessibility and user experience. Work closely with cross-functional teams including software engineers, product managers, and domain experts. Communicate technical concepts to non-technical stakeholders effectively. Document processes, methodologies, and model development for internal and external stakeholders.Skills: Strong knowledge of probability and statistics. Working knowledge of machine learning and deep learning skills. Strong knowledge of programming knowledge – Python, SQL and commonly used frameworks & tools – PyTorch, Sci-kit, NumPy, Gen AI tools like langchain/llamaIndex Working knowledge of MLOPs principles and implementing projects with Big Data in batch and streaming mode. Excellent problem-solving skills and a proactive attitude. Strong communication and teamwork abilities. Ability to manage multiple projects and meet deadlines Interview will involve coding tests. Must-Haves Relevant 2 years of relevant hands-on experience in Data Scientist. Hands-on experience in developing and deploying ML models using Python, PyTorch, and Scikit-learn. Practical knowledge of NLP tasks like entity recognition and text classification, and working with GenAI models such as GPT or LLaMA. Experience with tools like LangChain or LlamaIndex for building and optimizing RAG (Retrieval-Augmented Generation) pipelines. Understanding of MLOps practices and ability to handle big data in both batch and streaming modes. Excellent communication skills with a Bachelor’s or Master’s degree in a relevant technical field. Should join within 15 days (Notice Period). Please avoid sourcing candidates from colleges based in Andhra Pradesh. No Poach Clients (Plus Other Strict No-Nos) Tata Communications is the end client. Please avoid submitting candidates who are currently working with the end client or are involved in their projects. Note: This information is strictly for sourcing partners and should not be shared with candidates. Nice To Haves Target Companies : Additional Guidelines 2-3 round of interview Skills: natural language processing,generative ai,numpy,probability and statistics,langchain,data,retrieval-augmented generation,python,machine learning,sql,pytorch,scikit-learn,models,projects,mlops,learning,llamaindex Show more Show less

We’re looking for a mid-to-senior AI Engineer with strong backend skills and experience in either LLM-based systems or physiological signal processing to join our team full-time in Dehradun. You’ll help us build production-ready AI solutions that serve both our mobile app and our health monitoring tools. You’ll work alongside a focused and collaborative team to build tools that power AI features for real-time insights, personalized recommendations, and health predictions. This is a research-heavy, hands-on engineering role requiring the ability to read papers, design prototypes, build robust APIs, and ship features into production. What You’ll Work On LLM-Focused Workstreams Build Python-based tools the LLM can call to: - Analyze user health data (metrics, goals, activity) - Recommend content from our health library (videos, articles) - Generate structured meal plans Design APIs and integrate AWS serverless infrastructure for our mobile app Develop RAG pipelines or vector DB-based solutions if applicable Computer Vision & Signal Processing Workstreams Improve and expand our physiological signal extraction models (e.g., rPPG for heart rate) Build ML models to predict health vitals and risk markers from video data Validate models using appropriate metrics (AUC, ROC, sensitivity, etc.) Maintain reproducibility through experiment tracking and rigorous documentation Tech Stack Languages/Tools: Python, Jupyter, GitHub, JSON, REST APIs Frameworks: scikit-learn, NumPy, pandas, OpenCV, (Optional: PyTorch/Keras) Cloud & Infra: AWS Lambda, S3, (Optional: Bedrock, LangChain, Vector DBs) What We Are Looking For: Must-Haves: 3–4+ years of backend or applied ML development using Python Experience with LLMs (e.g., LangChain, Bedrock, OpenAI APIs) or computer vision/signal processing Familiarity with structured data handling (REST, JSON) and serverless architectures (AWS Lambda) Strong grasp of ML model evaluation and ability to translate messy real-world data into clean pipelines Collaborative mindset with strong communication skills Comfortable working night shifts and from our Dehradun office Nice to Have: Experience with physiological signal extraction or biomedical ML Knowledge of RAG pipelines, vector databases Contributions to peer-reviewed research or healthcare AI projects Interest in healthcare, nutrition, or wellness industries We are looking for individuals who are not just technically skilled, but also aligned with our work culture and values: Work from Office: Willing to work full-time from our Dehradun office (No remote option). Night Shift Commitment: Comfortable working 5:00 PM to 2:00 AM IST, Monday to Friday (US Shift). Discipline & Responsibility: Punctuality and personal ownership of deliverables are non-negotiable. Team Collaboration: Must be proactive in communication, open to feedback, and collaborative in approach. Learning Attitude: Open to reading papers, exploring new techniques, and improving continuously. Confidentiality & Integrity: Must handle sensitive healthcare data with the utmost care and confidentiality. Professionalism: Able to work with focus, follow task timelines, and deliver clean, well-documented work. Job Type: Full-time Pay: ₹1,000,000.00 - ₹1,500,000.00 per year Schedule: Monday to Friday Night shift US shift Application Question(s): Do you have experience with LLMs (e.g., LangChain, Bedrock, OpenAI APIs) or computer vision/signal processing? Education: Bachelor's (Required) Experience: Work: 3 years (Required) Language: English (Required) Shift availability: Night Shift (Required)

Job Description: Data Scientist Position Overview We are looking for a skilled and driven Data Scientist with 5-7 years of experience in data analysis and predictive modeling. The ideal candidate will have a strong technical foundation, analytical problem-solving skills, and the ability to translate complex data insights into actionable business strategies. Key Responsibilities Analyze large and complex datasets to uncover meaningful patterns, trends, and insights. Build, deploy, and validate predictive models, leveraging machine learning techniques and deep learning frameworks. Develop and implement Generative AI models to solve business challenges. Perform data preprocessing, exploratory data analysis (EDA), and feature engineering (FE) to prepare data for modeling and optimization. Write efficient and scalable code in Python, R, and SQL to manage and manipulate data. Collaborate with cross-functional teams to generate actionable insights that support business decision-making. Create clear and impactful data visualizations to communicate findings to both technical and non-technical stakeholders . Continuously monitor and improve model performance using optimization techniques. Stay up-to-date with advancements in data science, machine learning, and AI technologies. Required Skills and Qualifications Experience: 5-7 years of hands-on experience in data analysis, predictive modeling, and advanced analytics. Technical Proficiency: Strong programming skills in Python, R, and SQL. In-depth knowledge of machine learning techniques, deep learning frameworks, and Generative AI. Proficiency in data handling, pre-processing, exploratory data analysis (EDA), feature engineering (FE), and optimization techniques. Analytical Skills: Strong problem-solving abilities and attention to detail. Capability to derive actionable insights and present findings in a business- friendly manner. Communication: Excellent verbal and written communication skills to convey complex technical concepts effectively. Tools & Technologies: Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib, or Seaborn) is a plus. Educational Background Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. What We Offer A collaborative and innovative work environment. Opportunities to work on cutting-edge technologies, including Generative AI and advanced machine learning techniques. Career growth and development opportunities through training and mentorship. If you are passionate about leveraging data to drive impactful business decisions and have a strong technical background, we would love to hear from you! Job Types: Full-time, Permanent Pay: ₹1,500,000.00 - ₹2,000,000.00 per year Schedule: Day shift Monday to Friday Work Location: In person

7+ years of hands-on experience in AI/ML and Big Data projects. Strong proficiency in Python , SQL , TensorFlow , PyTorch , Scikit-learn , and Spark MLlib . Proven experience designing and deploying scalable AI/ML models in cloud environments (preferably GCP ; AWS/Azure is a plus). Solid understanding of data modeling , data warehousing , and ETL in Big Data contexts. Ability to apply statistical and machine learning techniques to derive actionable business insights. Skilled in building and optimizing Big Data pipelines and integrating ML models into production. Strong communication skills with the ability to present complex findings to both technical and non-technical audiences. Experience with data visualization tools (e.g., Tableau, Power BI) is a plus. Bachelors or Masters degree in Computer Science , Data Science , Engineering , Statistics , Mathematics , or a related quantitative field. Work Mode : Hybrid Location : Gurugram Job Type: Full-time Work Location: In person

Data Scientist :- Bangalore, Chennai, Pune Location India - Bangalore, Chennai, Pune Salary INR 700000 - 900000 Experience 2 - 4 Years Compensation Details Role: Data ScientistExperience Level: Bachelor’s/Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field from a reputed institute. Candidates with 2 years of work experience preferred.Position overview: We are seeking a Data Scientist with a strong background in Machine Learning, Natural Language Processing (NLP), Generative AI, and Retrieval-Augmented Generation (RAG). The ideal candidate will possess 1+ years of hands-on experience in developing and deploying advanced data-driven solutions. You will play a key role in our AI-CoE team, contributing to cutting-edge projects that drive innovation and business value. A special focus area for this role would be to build AI enabled products that would result in the creation of monetizable product differentiators for Tata Communications products and services.Detailed job description & Key Responsibilities: Develop, Test, and Deploy machine learning models for various business and Telco use cases. Perform data preprocessing, feature engineering and ML/DL model evaluation. Optimize and fine-tune models for performance and scalability. Good understanding of NLP concepts and projects involving entity recognition, text classification, and language modelling like GPT/Llama/Claude/Grok Build and refine RAG models to improve information retrieval and answer generation systems. Integrate RAG methods into existing applications to enhance data accessibility and user experience. Work closely with cross-functional teams including software engineers, product managers, and domain experts. Communicate technical concepts to non-technical stakeholders effectively. Document processes, methodologies, and model development for internal and external stakeholders.Skills: Strong knowledge of probability and statistics. Working knowledge of machine learning and deep learning skills. Strong knowledge of programming knowledge – Python, SQL and commonly used frameworks & tools – PyTorch, Sci-kit, NumPy, Gen AI tools like langchain/llamaIndex Working knowledge of MLOPs principles and implementing projects with Big Data in batch and streaming mode. Excellent problem-solving skills and a proactive attitude. Strong communication and teamwork abilities. Ability to manage multiple projects and meet deadlines Interview will involve coding tests. Must-Haves Relevant 2 years of relevant hands-on experience in Data Scientist. Hands-on experience in developing and deploying ML models using Python, PyTorch, and Scikit-learn. Practical knowledge of NLP tasks like entity recognition and text classification, and working with GenAI models such as GPT or LLaMA. Experience with tools like LangChain or LlamaIndex for building and optimizing RAG (Retrieval-Augmented Generation) pipelines. Understanding of MLOps practices and ability to handle big data in both batch and streaming modes. Excellent communication skills with a Bachelor’s or Master’s degree in a relevant technical field. Should join within 15 days (Notice Period). Please avoid sourcing candidates from colleges based in Andhra Pradesh. No Poach Clients (Plus Other Strict No-Nos) Tata Communications is the end client. Please avoid submitting candidates who are currently working with the end client or are involved in their projects. Note: This information is strictly for sourcing partners and should not be shared with candidates. Nice To Haves Target Companies : Additional Guidelines 2-3 round of interview Skills: natural language processing,generative ai,numpy,probability and statistics,langchain,data,retrieval-augmented generation,python,machine learning,sql,pytorch,scikit-learn,models,projects,mlops,learning,llamaindex Show more Show less

Job Title: Data Scientist Location: Ahmedabad, Gujarat, India Company: Savvy Data Cloud Consulting Job Type: Full-Time About Us Savvy Data Cloud Consulting is a leading technology consulting firm specializing in data, cloud, and ERP solutions across the Middle East and Africa. We empower organizations to make smarter decisions through advanced data analytics, cloud infrastructure, and enterprise application services. As a strategic partner to globally recognized platforms like Salesforce and Odoo, we deliver scalable, secure, and future-ready solutions that transform how businesses operate.At Savvy, we foster a culture of innovation, continuous learning, and client success. Join our growing team of experts and be part of a company that values impact, integrity, and inclusion. Job Summary We are looking for a talented and driven Data Scientist to join our analytics team. You will work with diverse data sources to build models, generate insights, and solve real-world business challenges. This role is ideal for someone who is passionate about data, enjoys solving complex problems, and thrives in a collaborative, fast-paced environment. Key Responsibilities Analyze large, complex datasets to discover insights and support strategic decision-making. Build and deploy predictive models and machine learning algorithms. Communicate insights and model outcomes clearly to technical and business stakeholders. Work closely with cross-functional teams to define data strategies and deliver actionable solutions. Develop and maintain data visualizations and dashboards using tools such as Power BI or Tableau. Support data governance, data quality, and cloud-based data infrastructure efforts. Qualifications Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. 4+ years of hands-on experience in data science, analytics, or related roles. Strong programming skills in Python or R, and experience with SQL. Proficient in machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch. Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus. Excellent analytical, problem-solving, and communication skills. Preferred Skills Experience with big data tools such as Spark, Hadoop, or Databricks. Domain experience in areas like CRM analytics, financial forecasting, or supply chain optimization. Experience with version control tools such as Git. What We Offer Competitive compensation and benefits. Professional development and certification support. Exposure to leading cloud and data technologies. A diverse and inclusive workplace where your ideas matter. Job Type: Full-time Schedule: Day shift Education: Bachelor's (Preferred) Experience: total work: 4 years (Required) Work Location: In person

Data Scientist – ROLES AND RESPONSIBILITIES About the Role: A Data Scientist is capable of developing, deploying, and implementing solutions for artificial intelligence and machine learning problems and business needs. Ability to work with cross-functional teams, to collect requirements, analyze data, and create/deploy machine learning models. Must be wellinformed about the latest advancements offered by AI/ML research and technologies which are supposed to result in continuous innovation. Their job is a combination of technical implementation and efficient communication, collaboration, and documentation to guarantee successful project outcomes and knowledge sharing within a team. Roles and Responsibilities: 1. Development and Implementation: a. Advanced knowledge of predictive analytics and time series analysis to build solutions. b. Utilize data-driven insights to inform decision-making processes. c. Expertise in NLP techniques to develop robust solutions for language-based tasks. d. Experience in fine-tuning open-source LLMs and integrating them into practical applications. e. Proficiency in SQL and Python for building and deploying machine learning models. f. Part of the development team is to write clean, concise, and properly documented code. g. Adopt methods of version control, continuous integration, and deployment to make it easier to manage the development process and to guarantee reliability in the code. 2. Quality Assurance and Testing: a. Coordinate with QA engineers, execute proper testing procedures for ensuring delivery of quality. b. Implement automated testing frameworks and various tests tools for expanded test coverage and efficiency. 3. Documentation: a. and maintain comprehensive documentation for all developed solutions and systems. b. Document development processes and workflows for future reference. 4. Team Collaboration: a. Make the most of your teamwork relationship by adopting a shared expectation of knowledge sharing, collaboration, and a continuous learning process. b. Guide, and support junior developers at the same time, and provide them with the necessary feedback, to help them become more professional. c. Foster innovation and creativity in the entire team for if low-member proffer new ideas successfully and implement practical solutions on any technical issues. Perks & Benefits Handsome Salary & Certifications Flexible Timings 5 Days Working Company Loyalty Bonus Excellent Referral Bonus Maternity Leaves & Benefits Recognition & Awards Monthly Team Activities Job Type: Full-time Pay: ₹500,000.00 - ₹800,000.00 per year Benefits: Health insurance Paid sick time Provident Fund Schedule: Day shift Fixed shift Monday to Friday Supplemental Pay: Performance bonus Yearly bonus Experience: Data science: 2 years (Preferred) Work Location: In person

Job Title "Data Scientist at Propheus, based out of Bengaluru - On-site Role" Company Details Propheus, based in Singapore, is a data and AI company that provides a Real World Model for better decision-making on physical assets. Utilizing a Digital Atlas, Propheus empowers organizations to seamlessly query, reason, and predict about global entities. Job Roles & Responsibilities - Develop and implement machine learning algorithms using Python, TensorFlow, and PyTorch. - Collaborate on designing data pipelines utilizing Apache Spark and PySpark to process multimodal datasets. - Integrate and deploy AI models on cloud platforms including AWS and Azure. - Create and maintain APIs using Django, FastAPI, and Flask to interface with our AI agent, Alchemy. - Utilize data manipulation libraries such as NumPy and Pandas for exploratory data analysis. - Work closely with the team to enhance the Digital Atlas and improve real-world entity reasoning. - Support decision-making processes by providing insights from our Real World Model. Cultural Expectations - Embrace and drive innovation to enhance real-world decision-making - Collaborate openly with cross-functional teams - Show adaptability in dynamic environments - Communicate insights effectively - Align with the mission to better understand our planet Hiring Process R1: Profile Shortlisting R2: Tech interview R3: Tech interview R4: Founder round R5: HR round Show more Show less

We’re looking for a mid-to-senior AI Engineer with strong backend skills and experience in either LLM-based systems or physiological signal processing to join our team full-time. You’ll work alongside a focused and collaborative team to build tools that power AI features for real-time insights, personalized recommendations, and health predictions. This is a research-heavy, hands-on engineering role requiring the ability to read papers, design prototypes, build robust APIs, and ship features into production. Job Types: Full-time, Permanent Pay: ₹50,000.00 - ₹100,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Work Location: In person

Data Scientist :- Bangalore, Chennai, Pune Location India - Bangalore, Chennai, Pune Salary INR 700000 - 900000 Experience 2 - 4 Years Compensation Details Role: Data ScientistExperience Level: Bachelor’s/Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field from a reputed institute. Candidates with 2 years of work experience preferred.Position overview: We are seeking a Data Scientist with a strong background in Machine Learning, Natural Language Processing (NLP), Generative AI, and Retrieval-Augmented Generation (RAG). The ideal candidate will possess 1+ years of hands-on experience in developing and deploying advanced data-driven solutions. You will play a key role in our AI-CoE team, contributing to cutting-edge projects that drive innovation and business value. A special focus area for this role would be to build AI enabled products that would result in the creation of monetizable product differentiators for Tata Communications products and services.Detailed job description & Key Responsibilities: Develop, Test, and Deploy machine learning models for various business and Telco use cases. Perform data preprocessing, feature engineering and ML/DL model evaluation. Optimize and fine-tune models for performance and scalability. Good understanding of NLP concepts and projects involving entity recognition, text classification, and language modelling like GPT/Llama/Claude/Grok Build and refine RAG models to improve information retrieval and answer generation systems. Integrate RAG methods into existing applications to enhance data accessibility and user experience. Work closely with cross-functional teams including software engineers, product managers, and domain experts. Communicate technical concepts to non-technical stakeholders effectively. Document processes, methodologies, and model development for internal and external stakeholders.Skills: Strong knowledge of probability and statistics. Working knowledge of machine learning and deep learning skills. Strong knowledge of programming knowledge – Python, SQL and commonly used frameworks & tools – PyTorch, Sci-kit, NumPy, Gen AI tools like langchain/llamaIndex Working knowledge of MLOPs principles and implementing projects with Big Data in batch and streaming mode. Excellent problem-solving skills and a proactive attitude. Strong communication and teamwork abilities. Ability to manage multiple projects and meet deadlines Interview will involve coding tests. Must-Haves Relevant 2 years of relevant hands-on experience in Data Scientist. Hands-on experience in developing and deploying ML models using Python, PyTorch, and Scikit-learn. Practical knowledge of NLP tasks like entity recognition and text classification, and working with GenAI models such as GPT or LLaMA. Experience with tools like LangChain or LlamaIndex for building and optimizing RAG (Retrieval-Augmented Generation) pipelines. Understanding of MLOps practices and ability to handle big data in both batch and streaming modes. Excellent communication skills with a Bachelor’s or Master’s degree in a relevant technical field. Should join within 15 days (Notice Period). Please avoid sourcing candidates from colleges based in Andhra Pradesh. No Poach Clients (Plus Other Strict No-Nos) Tata Communications is the end client. Please avoid submitting candidates who are currently working with the end client or are involved in their projects. Note: This information is strictly for sourcing partners and should not be shared with candidates. Nice To Haves Target Companies : Additional Guidelines 2-3 round of interview Skills: natural language processing,generative ai,numpy,probability and statistics,langchain,data,retrieval-augmented generation,python,machine learning,sql,pytorch,scikit-learn,models,projects,mlops,learning,llamaindex Show more Show less

Warm Greetings from Dataceria Software Solutions Pvt Ltd . We are Looking For: Senior Data Scientist Immediate joiners send your resume to carrers@dataceria.com: -------------------------------------------------------------------------------------------------------------- We are seeking a highly skilled Senior Data Scientist to lead the development of classification models and customer segmentation strategies for a major investment bank. This role is central to profiling the existing client base on legacy infrastructure and supporting business stakeholders in defining clear migration paths to modern platforms such as Data Mesh. Responsibilities: Lead the design and implementation of classification models to categorize clients based on product usage, service engagement, and behavioral patterns. Develop robust customer segmentation strategies to support personalization and migration strategies. Collaborate closely with stakeholders across business and technology to understand legacy data landscapes and future-state architecture. Oversee and mentor a small team of data scientists and analysts. Conduct advanced analysis using Python and SQL; apply machine learning techniques for predictive insights. Translate complex data findings into clear business narratives and actionable outcomes. What we're looking for in our applicants: 8+ years of experience in data science, preferably in financial services or investment banking . Proven expertise in machine learning, particularly classification and clustering models. Advanced proficiency in Python ( Pandas, Scikit-learn, etc.) and SQL. Experience leading technical teams or mentoring junior data professionals. Strong understanding of client lifecycle in financial institutions and regulatory considerations. Familiarity with data migration strategies and legacy modernization projects is a plus. ---------------------------------------------------------------------------------------------------------------------------------------------------- Joining: Immediate Work location: Pune (hybrid). Open Positions: Senior Data Scientist If interested, please share your updated resume to carrers@dataceria.com: We welcome applications from skilled candidates who are open to working in a hybrid model. Candidates with less experience but strong technical abilities are also encouraged to apply. ----------------------------------------------------------------------------------------------------- Thanks, Dataceria Software Solutions Pvt Ltd Follow our LinkedIn for more job openings : https://www.linkedin.com/company/dataceria/ Email : careers@dataceria.com ------------------------------------------------------------------------------------------------------

Similar tech landscape as ML engineer, but I expect this person to light on the engineering / troubleshooting part, and more on the model development Traditional ML model development analysis, hypothesis testing, data preparation, model selection, validation and testing Knowledge of Agentic AI framework, RAG setup, LLM selection, integration etc. This could be two types of profiles, first with strong About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Data Scientist: 7+ years experience in AI/ML & Big Data Proficient in Python, SQL, TensorFlow, PyTorch, Scikit-learn, Spark MLlib Cloud proficiency (GCP, AWS/Azure) Strong analytical & comms skills Location: Gurgaon Salary: 22 LPA Immediate joiners

About ChemAnalyst : C hemAnalyst is a cloud-based B2B SaaS platform offering real-time pricing and market intelligence for procurement and supply chain professionals. It provides advanced forecasting tools, helping businesses optimize procurement strategies, reduce risks, and improve profitability. Covering over 500+ commodities across six key categories, ChemAnalyst delivers essential insights for informed decision-making. Led by CEO Mr. Karan Chechi, the platform enhances procurement processes, drives cost savings, and streamlines workflows, making it a go-to solution for staying competitive. It has earned accolades like “Product Innovator of the Year”, “Top 100 ProcureTech Solution Provider" and "Procurement Solution Provider of the Year." Website: https://www.chemanalyst.com/ Overview: An AI/ML expert with experience in creating AI models for data intelligence companies who specializes in developing and deploying artificial intelligence and machine learning solutions tailored for data-driven businesses. This expert should possess a strong background in data analysis, statistics, programming, and machine learning algorithms, enabling them to design innovative AI models that can extract valuable insights and patterns from vast amounts of data. Key Responsibilities: 1. AI Model Development: Design and develop state-of-the-art AI and ML models, including supervised and unsupervised learning algorithms, natural language processing (NLP) models, computer vision models, recommendation systems, and more. 2. Data Preprocessing: Clean, preprocess, and transform raw data to ensure its suitability for AI model training and analysis. This may involve handling missing values, feature engineering, and data normalization. 3. Model Training and Validation: Use various machine learning frameworks and libraries to train AI models on large datasets. Validate and fine-tune models to achieve optimal performance and accuracy. 4. Deployment and Integration: Integrate AI models into data intelligence platforms and ensure seamless deployment in production environments, making them accessible to end-users. 5. Performance Monitoring and Optimization: Continuously monitor the performance of deployed models and optimize them as needed to adapt to changing data patterns and business requirements. 6. Data Visualization: Create meaningful and intuitive visualizations to communicate complex data insights to stakeholders effectively. 7. Collaborate with Cross-Functional Teams: Work closely with data engineers, data scientists, product managers, and other stakeholders to understand business needs and align AI solutions with the company's objectives. 8. Stay Updated on AI/ML Trends: Keep abreast of the latest advancements in AI/ML technologies, industry trends, and best practices to ensure the organization remains at the forefront of innovation. Skills and Qualifications: - Strong educational background in computer science, data science, artificial intelligence, or a related field (Master's or Ph.D. preferred). - Extensive experience in developing AI and ML models, ideally in a data intelligence or analytics-focused company. - Proficiency in programming languages such as Python, R, or Java, along with familiarity with popular AI/ML libraries like TensorFlow, Keras, PyTorch, and scikit-learn. - Expertise in handling and analyzing large datasets, using tools like SQL, Spark, or Hadoop. - Deep understanding of various machine learning algorithms and statistical methods. - Experience with data visualization tools like Tableau, Power BI, or Matplotlib. - Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their AI services. - Excellent problem-solving and analytical skills, with the ability to translate business requirements into AI solutions. - Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders. Required Experience: 2-4 Years Work Location: Noida (On-site) If interested kindly share your cv to babita.pathak@techsciresearch.com Show more Show less

Why Us NewRocket, a global, full-service Elite ServiceNow partner, helps top enterprise leaders solve their toughest business problems and navigate change with confidence. The go-to ServiceNow guide, NewRocket was recently awarded the “2024 ServiceNow Worldwide Customer Workflow Partner of the Year” and “2023 ServiceNow Creator Workflow Partner of the Year”. We work with some of the world’s biggest brands, bridging the gap between what customers expect and what their technology can deliver. We # GoBeyondWorkflows to create new kinds of experiences for our customers. Come join our Crew! The Role We are seeking a skilled Data Scientist with 4 years of experience to join our dynamic team. The ideal candidate will leverage their expertise in data analysis, machine learning, and statistical modeling to extract actionable insights from complex datasets. This role will involve collaborating with cross-functional teams to solve business problems, develop predictive models, and contribute to data-driven decision-making processes. We are #GoingBeyond Come join our crew! What You Will Be Doing Collect, clean, and preprocess large datasets from diverse sources to ensure data quality and integrity. Design, develop, and implement machine learning models and algorithms to address business challenges. Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies. Build and validate predictive and prescriptive models using statistical techniques and tools. Collaborate with stakeholders to translate business requirements into data-driven solutions. Create visualizations and dashboards to communicate findings effectively to technical and non-technical audiences. Optimize and fine-tune existing models to improve accuracy, performance, and scalability. Stay current with industry trends, emerging tools, and advancements in data science and AI. Document methodologies, processes, and results for reproducibility and knowledge sharing. What You Bring Along Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. 4+ years of professional experience as a Data Scientist or in a similar role. Proficiency in programming languages such as Python or R for data analysis and modeling. Strong experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Expertise in statistical analysis, hypothesis testing, and experimental design. Hands-on experience with SQL for querying and manipulating large datasets. Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus. Ability to work in a collaborative environment and adapt to new AI technologies. Excellent problem-solving skills and the ability to work independently or in a team. Strong communication skills to present complex findings in a clear and concise manner Preferred Skills Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for data processing and model deployment. Background in natural language processing (NLP), computer vision, or time-series analysis. Understanding of software development practices (e.g., version control with Git, CI/CD pipelines). Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. We Take Care of Our People NewRocket is committed to a diverse and inclusive workplace. We value and celebrate diversity, believing that every employee matters and should be respected and heard. We are proud to be an equal opportunity workplace and affirmative action employer, committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin, or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, citizenship, military, or Veteran status. For individuals with disabilities who would like to request an accommodation, please contact hr.in@newrocket.com. Show more Show less

Join our Team As the technology firm that created the mobile world and a rich history of 145 years of building ground-breaking solutions and innovative technologies supported by 60,000+ patents, Ericsson has made it our business to make a mark. When joining our team at Ericsson you are empowered to learn, lead and perform at your best, shaping the future of technology. This is a place where you are welcomed as your own perfectly unique self, and celebrated for the skills, talent, and perspective you bring to the team. Ericsson Enterprise Wireless Solutions (BEWS) is the group responsible for leading Ericsson’s Enterprise Networking and Security business. Our growing product portfolio spans across wide area networks, local area networks and enterprise security. We are the #1 global market leader in Wireless-WAN based enterprise connectivity solutions and are growing fast in enterprise Private 5G networks and Secure Access Services Edge (SASE) solutions. You will Develop scientific methods, processes, and systems to extract knowledge or insights to drive the future of applied analytics. Mine and analyze data from company databases to drive optimization and improvement of product development and business strategies. Assess the effectiveness of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets. Use Generative AI and predictive modeling to enhance customer experiences, revenue generation and other business outcomes. You must have Solid understanding in Statistics, e.g., hypothesis formulation, hypothesis testing, descriptive analysis and data exploration. Ability to perform EDA and visualize the data. Aptitude and skills in Machine Learning, e.g., Natural Language Processing, Bayesian model, Deep Learning, and Large Language Models. Strong programming skills in Python, SQL. Strong understanding of DSA. Strong ambition to learn and implement current state of the art machine learning frameworks such as Scikit-Learn, TensorFlow, PyTorch and Spark. Familiarity with Linux/OS X command line, version control software (git), and general software development. Familiarity with APIs Experience in programming or scripting to enable ETL development. Familiarity with relational databases and Cloud (AWS). Understanding of Reinforcement Learning and Causal Inference will be preferred. Qualifications B.Tech or B.E. or M.Tech or MS in Computer Science / Masters in Mathematics / Statistics from a premium institute Minimum 4 – 6 years of experience in relevant role Why Ericsson Enterprise Wireless Solutions? At Ericsson Enterprise Wireless Solutions, we are one team - all in on inclusion. Celebrating the uniqueness of our individual team members across the globe helps us build diverse teams where we all can thrive. Our connected, community-focused culture enables each one of us to perform at our best and fully be ourselves. Please note: Ericsson Enterprise Wireless Solutions does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Ericsson Enterprise Wireless Solutions employees. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we nurture it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity and Affirmative Action employer, learn more. If you need assistance or to request an accommodation due to a disability, please contact Ericsson at hr.direct.mana@ericsson.com DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned. Primary country and city: India (IN) || Bangalore Job details: Data Scientist (Techn) Show more Show less

Similar tech landscape as ML engineer, but I expect this person to light on the engineering / troubleshooting part, and more on the model development Traditional ML model development analysis, hypothesis testing, data preparation, model selection, validation and testing Knowledge of Agentic AI framework, RAG setup, LLM selection, integration etc. This could be two types of profiles, first with strong Show more Show less

7+ years of hands-on experience in AI/ML and Big Data projects. Strong proficiency in Python , SQL , TensorFlow , PyTorch , Scikit-learn , and Spark MLlib . Proven experience designing and deploying scalable AI/ML models in cloud environments (preferably GCP ; AWS/Azure is a plus). Solid understanding of data modeling , data warehousing , and ETL in Big Data contexts. Ability to apply statistical and machine learning techniques to derive actionable business insights. Skilled in building and optimizing Big Data pipelines and integrating ML models into production. Strong communication skills with the ability to present complex findings to both technical and non-technical audiences. Experience with data visualization tools (e.g., Tableau, Power BI) is a plus. Bachelors or Masters degree in Computer Science , Data Science , Engineering , Statistics , Mathematics , or a related quantitative field.

Requesting only candidates with relevant experience to apply for the position. We are looking for candidates who can join us immediately or 30 days of official Notice Period Role & responsibilities: You would be required to Identify, develop and implement the appropriate statistical techniques, algorithms and Deep learning / ML Models to create new, scalable solutions that address business challenges across industry domains. Define, develop, maintain and evolve data models, tools and capabilities. Communicate your findings to the appropriate teams through visualizations Collaborate and communicate findings to diverse stakeholders Provide solutions for but not limited to: Object detection/Image recognition, natural language processing, Sentiment Analysis, Topic Modeling, Concept Extraction, Recommender Systems, Text Classification, Clustering , Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization, Gen AI and LLMs. Follow/maintain an agile methodology for delivering on project milestones. Preferred candidate profile Bachelors/ Masters/ PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Applied Mathematics or related technical degree. 6 plus years total experience with minimum of 5 years of experience in a related position, as a data scientist building Predictive analytics, Computer Vision, and NLP solutions for various types of business problems. Advanced knowledge of statistical techniques, machine learning algorithms and deep learning frameworks like Tensorflow, Keras, Pytorch Programming background and expertise in building models using at least one of the following languages: Python, R , C, C++

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive. Your day at NTT DATA The Senior Data Scientist is an advanced subject matter expert, tasked with taking accountability in the adoption of data science and analytics within the organization. The primary responsibility of this role is to participate in the creation and delivery of data-driven solutions that add business value using statistical models, machine learning algorithms, data mining, and visualization techniques. What You'll Be Doing Key Responsibilities: Designs, develops, and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Designs and enhances data collection procedures to include information that is relevant for building analytic systems. Responsible for ensuring that data used for analysis is processed, cleaned and, integrally verified and build algorithms necessary to find meaningful answers. Designs and codes software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources Provides meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. Directs scalable and highly available applications leveraging the latest tools and technologies. Accountable for creatively visualizing and effectively communicating results of data analysis, insights, and ideas in a variety of formats to key decision-makers within the business. Creates SQL queries for the analysis of data and visualizes the output of the models. Responsible for ensuring that industry standards best practices are applied to development activities. Knowledge and Attributes: Advanced understanding of data modelling, statistical methods and machine learning techniques. Strong ability to thrive in a dynamic, fast-paced environment. Strong quantitative and qualitative analysis skills. Desire to acquire more knowledge to keep up to speed with the ever-evolving field of data science. Curiosity to sift through data to find answers and more insights. Advanced understanding of the information technology industry within a matrixed organization and the typical business problems such organizations face. Strong ability to translate technical findings clearly and fluently to non-technical team business stakeholders to enable informed decision-making. Strong ability to create a storyline around the data to make it easy to interpret and understand. Self-driven and able to work independently yet acts as a team player. Academic Qualifications and Certifications: Bachelor’s degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science or a related field. Relevant programming certification preferred. Agile certification preferred. Required Experience: Advanced demonstrated experience in a data science position in a corporate environment and/or related industry. Advanced demonstrated experience in statistical modelling and data modelling, machine learning, data mining, unstructured data analytics, natural language processing. Advanced demonstrated experience in programming languages (R, Python, etc.). Advanced demonstrated experience working with and creating data architectures. Advanced demonstrated experience with extracting, cleaning, and transforming data and working with data owners to understand the data. Advanced demonstrated experience visualizing and/or presenting data for stakeholder use and reuse across the business. Workplace type: Hybrid Working About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today. Show more Show less

This position will be part of Sapiens Digital (Data Suite) division, for more information about it, click here: We are looking for an enthusiastic Data Scientist with a foundational understanding of data science principles and an interest in the insurance industry. The role involves working alongside senior data scientists to analyze data, build models, and generate insights. What youll do: Data Collection & Preprocessing Assist in gathering, cleaning, and preprocessing data from various sources, ensuring data quality and consistency. Conduct exploratory data analysis (EDA) to identify trends, patterns, and insights within the data. Model Development & Evaluation Building predictive models to enhance accuracy. Test and evaluate basic machine learning models, including linear and logistic regression, decision trees, and clustering algorithms. Reporting & Visualization Create clear and informative data visualizations and reports to communicate insights to business stakeholders. Tracking key metrics and performance indicators related to business objectives. Cross-functional Collaboration Collaborate with business and technical teams to understand project requirements and contribute to the design of data-driven solutions. Participate in team meetings, brainstorming sessions, and discussions on data science projects and initiatives. Research & Learning Stay updated on the latest trends and tools in data science, machine learning, and the insurance industry. Participate in ongoing training and development programs to enhance technical skills and industry knowledge. What to Have for this position. Must have Skills. Education: Bachelors degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. A Masters degree is a plus. Experience : 4+ years of experience in data science or analytics Basic Industry Knowledge: General understanding of insurance concepts (e.g., policies, claims, risk, customer lifecycle) is desirable but not required. Insurance Data Familiarity: Some experience working with structured data (e.g., customer demographics, policy details) and an eagerness to learn about the specific types of data used in the insurance industry. Predictive Models: Exposure to basic predictive modeling techniques such as regression, classification, forecasting or clustering. Experience with insurance-specific models (e.g., claims prediction, risk assessment) is a plus. Data Preparation: Knowledge of data cleaning and preprocessing techniques, with experience in handling datasets to prepare them for analysis. Programming Skills: Proficiency in Python for data analysis, with familiarity in using libraries such as Pandas, NumPy, and Scikit-learn. Data Manipulation: Basic skills in SQL for querying and extracting data from databases. Statistical Knowledge: Understanding of fundamental statistical concepts, including distributions, probability, hypothesis testing, and descriptive statistics. Required Soft Skills: Curiosity & Willingness to Learn : Enthusiastic about learning new concepts, techniques, and industry-specific knowledge in the insurance domain. Problem-Solving Skills : Ability to approach challenges analytically and think critically about data and project requirements. Attention to Detail : Keen eye for detail in data handling and model development to ensure high-quality outcomes. Communication Skills : Clear and concise communication skills, with the ability to present findings and insights effectively. Team Collaboration : Willingness to work collaboratively within a team, receiving and applying feedback from senior team members.

Salary : 15 to 30 LPA Exp: 3 to 6 years Location :Gurugram/Bangalore Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and GEN AI Interact with the client to understand their requirements and communicate / brainstorm solutions. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Text classification using any of the following : decision trees, knn classification, support vector machines or LDA Exp on SQL would be a plus

Job Title: Data Scientist Location: India Experience: 5+ Years Employment Type: Full-time Job Description: We are seeking a highly skilled and innovative Data Scientist to lead the development of AI-driven data conversion solutions. This role requires deep expertise in data analysis, machine learning, and AI model integration to drive intelligent data mapping, code generation, and validation processes. Key Responsibilities: Develop AI-powered applications for data conversion and transformation. Implement machine learning algorithms for data mapping and code generation. Apply AI-driven validation techniques to ensure data accuracy and integrity. Collaborate cross-functionally with engineering, product, and analytics teams. Monitor, troubleshoot, and optimize AI models in production environments. Maintain detailed documentation of methodologies and development processes. Stay current with emerging trends in AI, data science, and conversion technologies. Requirements: Bachelor’s/Master’s degree in Data Science, Computer Science, AI, or related field. Proficiency in Python, SQL, and modern AI/ML frameworks (e.g., TensorFlow, PyTorch). Experience in data mapping, AI-based code generation, and data validation. Strong understanding of databases (SQL Server, MongoDB). Excellent problem-solving skills and attention to detail. Strong collaboration and communication abilities. A "fail-fast, learn-fast" mindset aligned with agile development. Preferred Qualifications: Background in Financial Services or compliance-heavy environments. Certifications in Data Science or AI/ML. Experience with MDM, ETL, and DevOps tools (Jira, Confluence, Bitbucket). Familiarity with Azure AI/ML stack (Synapse, Databricks, Cognitive Services, etc.). Prior experience delivering AI solutions for complex data transformations. Show more Show less