1397 Data Scientist Jobs - Page 39

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

Greetings from TCS! Job Title: Data Scientist / AI/ML Engg Required Skillset: AI/ML Location: Hyd,Kolkata, Delhi, Chennai(Last option) Experience Range: 6-10 Job Description Must-Have** AI/ML, Azure ML Studio, AI/ML On Databricks, Python & CICD Devops. Supervised and unsupervised ML and Predictive Analytics using Python • Feature generation through data exploration and SME requirements • Relational database querying • Applying computational algorithms and statistical methods to structured and unstructured data • Communicating results through data visualizations Programming Languages: Python, PySpark • Big Data Technologies: Spark with PySpark • Cloud Technologies: Azure (ADF, Databricks, Storage Account Usage, WebApp, Key vault, SQL Server, function app, logic app, Synapse, Azure Machine Learning, Azure DevOps) • RBAC Maintenance for Azure roles. • Github branching and managing • Terraform scripting for Azure IAA • Optional: GCP (Big Query, DataProc, Cloud Storage Thanks & Regards, Ria Aarthi A. Show more Show less

Role & responsibilities As Senior Data Scientist, you will be responsible for a wide range of engagements listed below: Formulates complex problems into hypotheses and proofs of concept for testing. Socializes this with the rest of the team and guides them to deliver on it. Applies business acumen in analyses to extract meaningful and actionable information. Communicates complex ideas and insights effectively to stakeholders with various levels of technical experience. Leverages various analytical techniques, appropriate to solving the business problem at hand. Performs research for solutions and solves problems efficiently to overcome data analytics challenges. Engages in the collection, integration, analysis, and presentation of data for various business contexts Understands good software development practices (versioning, peer reviews, refactoring, and pair programming), adapts them to the needs of the team and sets an example for others by following them. Creates and maintains technical documentation of the scientific experimentations performed, preferably in the CRISP-DM framework or like. Keeps up with the latest trends, technologies, and best practices in the field of Data Science and Engineering. Shares this knowledge with the rest of the data science team. Does peer reviews of codes and approaches of fellow members of the data science team. Provides mentorship to junior data scientists in the team. Looks for improvements in data science delivery processes, actively seeks buy-in on the improvements from peers and managers, implements them in the team and monitors their adoption. 4 to 6 years experience is mandatory Preferred candidate profile Advanced knowledge in one or more areas besides Machine Learning Operations Research, Natural Language Processing, Deep learning and its applications, Time Series forecasting at scale. Reinforcement Learning, Graph Machine Learning, Explainable Machine learning. Advanced understanding of Cloud technologies and experience of deploying applications on cloud.

Job opportunity for data science professionals with largest global insurance organisation. Experience - 5-10 years Location - Bangalore/Hyderabad This role is responsible for conducting robust quantitative and statistical analysis of our insurance product offerings and portfolio. The role involves leveraging complex data sets to identify trends, patterns and insights that serve to improve business development, design, and evaluation of new products, and evaluate external data. Key Accountabilities & Responsibilities • Analyze large datasets using advanced statistical methods to uncover trends, patterns, gaps, and insights that can be leveraged for business growth, renewals, and/or claims optimization. • Collaborate with cross-functional teams to understand business objectives and identify areas where data-driven solutions can drive revenue growth, renewals, and/or claims efficiency. • Design and implement experiments to test hypotheses and analyse the impact of various factors on business performance, renewals, and claims outcomes. • Develop machine learning models to automate decision-making processes and improve operational efficiency. • Create data visualizations and communicate findings to stakeholders in a clear and concise manner, providing insights for business decision-making. • Stay up to date with the latest advancements in data science and actively seek opportunities to apply new techniques and tools to enhance business opportunities. • Work closely with data engineering teams to optimize data storage, retrieval, and processing, ensuring efficient handling of datasets. • Work closely with machine learning engineers to facilitate the seamless deployment of models. Skills & Experience • Bachelor’s degree (or equivalent) in actuarial science, mathematics, computer science, economics, or statistics. • 5+ years of related practical experience. • Strong programming skills in languages like SQL, Python or R for data manipulation and analysis. • Proficiency in machine learning techniques such as regression, clustering, and recommendation systems. • Excellent communication skills to effectively present complex findings to both technical and non-technical stakeholders. • Preferred: o Solid understanding of insurance industry dynamics and business processes. o Experience with AI libraries & frameworks such as like TensorFlow and PyTorch. o Experience with data visualization tools such as Qlikview, Tableau or Power BI. o Experience with data mining and web scraping. Show more Show less

Position: Data Scientist – AI-Driven Data Conversion Location: Remote Experience: 8+ Years Notice: Immediate Joiner We’re seeking a skilled Data Scientist to design and implement AI-powered solutions for data conversion and validation. You’ll work on building intelligent models for code generation, mapping, and transformation while collaborating with cross-functional teams. Key Responsibilities: Build AI models for data conversion, mapping, and validation Automate code generation using AI/ML frameworks (e.g., PyTorch, TensorFlow) Develop data quality checks and ensure integrity Collaborate with engineers and analysts to deploy solutions Monitor application performance and troubleshoot issues Document methodologies and stay updated on industry trends Required Skills: 5+ Years of Relevant Experience in data science or a related field. Strong programming in Python , SQL, familiarity with MongoDB , SQL Server Experience with AI/ML Frameworks, code generation & conversion , data wrangling , and ETL Excellent problem-solving, documentation, and collaboration skills Show more Show less

About the AI Lab at PB Health The AI Lab at PB Health is at the forefront of innovation, tackling advanced challenges in processing and analyzing audio, and text data on a large scale. Our work spans various domains including Classical ML Models, Speech Recognition, Natural Language Processing (NLP), Large Language Models(LLMs). We are dedicated to transforming theoretical research into practical, cutting-edge products that enhance the customer experience. Key Responsibilities: ∙ Collect, pre-process, and annotate datasets for training large language models. ∙ Develop, fine-tune, and evaluate conversational AI. ∙ Conduct independent and collaborative research to explore new techniques in AI/LLM development. . Stay current with the latest advancements in AI, machine learning, and NLP, and apply relevant findings to ongoing projects. ∙ Collaborate cross-functionally with data scientists, engineers, and product teams to integrate models into production systems. Qualifications: ∙ Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. PhD is a plus. ∙ Experience working with large language models such as GPT, BERT, T5, etc. ∙ Strong programming skills in Python and familiarity with machine learning frameworks like PyTorch or TensorFlow. ∙ Proven experience in dataset preparation and annotation for NLP tasks. ∙ Strong understanding of natural language understanding, generation, and transfer learning techniques. ∙ Excellent problem-solving skills and attention to detail. Show more Show less