3288 Data Scientist Jobs

Role Description: As a Senior Data Science and Modeling Specialist at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: Developing and implementing machine learning models and algorithms to solve complex business problems Conducting data analysis and modeling using statistical and data analysis tools Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data science and modeling specialists Presenting findings and recommendations to stakeholders Technical Skills Skills Requirements: Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description: As a Senior Data Science and Modeling Specialist at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: Developing and implementing machine learning models and algorithms to solve complex business problems Conducting data analysis and modeling using statistical and data analysis tools Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data science and modeling specialists Presenting findings and recommendations to stakeholders Technical Skills Skills Requirements: Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

As an Advanced Data Scientist here at Honeywell, you will leverage your expertise in advanced analytics and machine learning to drive data-driven decision-making within our Commercial Data team. Your role will be crucial in transforming complex data into actionable insights that enhance our commercial strategies and operational efficiency. You will report directly to our Sr Data Engineering Manager, and you ll work out of our Bengaluru, India location on a Hybrid work schedule. In this role, you will impact the organization by utilizing advanced data science techniques to solve complex business challenges, optimize commercial processes, and identify new opportunities for growth and efficiency. Required Qualifications Bachelor of Engineering or master s degree in data science, Computer Science, Statistics, Mathematics, or a related field. 6+ years of experience in data science, machine learning, or advanced analytics. Strong programming skills in Python, R, or similar languages. Proficiency in SQL and experience with large-scale data processing. Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques. Experience with data visualization tools to present findings effectively Familiarity with cloud platforms (AWS, Azure, GCP) and version control systems (e.g., Git). Expertise with the CI-CD process. Git-actions Preferred Skills Experience with SQL, Python, PySpark and distributed data processing. Hands-on experience with Databricks for collaborative analytics and model development. Knowledge and hands-on experience on snowflake & Databricks Practical experience in developing and fine-tuning Large Language Models (LLMs). Exposure to Generative AI (GenAI) frameworks and applications. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Hands on experience of MLOps practices and tools for model deployment and monitoring. Strong communication skills with the ability to explain complex concepts to non-technical stakeholders. Proven ability to lead projects and work independently in a fast-paced environment. Key Responsibilities Build and deploy predictive models and machine learning algorithms to address real-world business problems. Analyze large-scale datasets to extract actionable insights and support data-driven strategies. Collaborate with cross-functional teams to understand business needs and deliver impactful solutions. Mentor junior data scientists and contribute to a culture of continuous learning. Continuously improve existing models and explore new analytical approaches. Lead innovation in AI/ML, including the application of Large Language Models (LLMs) and Generative AI (GenAI).

Develop and deploy AI/ML and Deep Learning models Apply Neural Networks, CNNs, RNNs, LSTMs, Transformers, and Autoencoders Work on NLP techniques Build predictive analytics and optimization pipelines Perform exploratory data analysis (EDA) Required Candidate profile Strong proficiency in Python 3–4 years of hands-on experience in AI/ML model development Expertise in Deep Learning architectures (CNN) Solid background in statistical analysis Strong knowledge of SQL

Data Scientist Notice period/ Start Date :- Immediate / less than 60 days. Location : Bangalore,Hyderabad, Mumbai, Pune, chennai , NCR Below detail JD FYR, Experience with Data Science, AI/ML and Generative AI technologies - Extensive hands-on experience in implementing end to end projects utilizing GenerativeAI using Microsoft Azure AI , OpenAI - Extensive hands-on experience in building GenerativeAI application using methodologies such as RAG - Experience in automating various aspects of the overall RAG pipeline for GenerativeAI based application - Experience in designing solutions utilizing GenerativeAI , AI and ML components. - Hands-on experience in working with Azure OpenAI services or other managed large language models - Experience with AI/ML, search and data services within Azure ecosystem such as Azure OpenAI, AI Search, CosmosDB, Functions, etc. - Experience with evaluation, validation and refinement of results from GenerativeAI RAG based applications - Experience with setting up monitoring, observability and guardrails for GenerativeAI solutions - Extensive experience in Python programming languages along with popular frameworks such as Flask, FastAPI, etc. - Experience with AIML, deep learning, TensorFlow, Python, NLP - Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. - Experience with deploying applications to Microsoft Azure or other cloud platforms. Intreasted candidates please share CV On sneha.joshi@alikethoughts.com Thanks & Regards, Sneha Joshi | Talent Acquisition

Your role and responsibilities: In this role, you will have the opportunity to deliver and implement analytics strategy in one or more functional areas. Each day, you will drive data-driven strategy and decision making for predictive analytics and optimization by leveraging Artificial Intelligence (AI) and Machine Learning (ML). You will also showcase your expertise by building and maintaining large-scale statistical models that turn billions of data points into insights and actions. The work model for the role is: LI #Hybrid This role is contributing to the Process Automation Business of Energy division in Bangalore . You will be mainly accountable for: Support cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities. Implement wide range of projects, building large-scale distributed fine tuning, deploying LLMs on GPU instances for real-time use cases, designing robust, secure infrastructure. Build, develop, and maintain analytical models that support key business decisions. Oversee the scaling of analytics projects on cloud platforms to ensure seamless functionality and integration with business operations Qualifications for the role (Mandatory) Masters degree in computer science, Statistics, Applied Mathematics, or related scientific field. 5+ years of experience in a data science role, with a focus on analytics and data modeling in cloud environments. Relevant experience with Large Language Models, NLP, large-scale systems and data sets, deep learning, or adjacent fields. Well versed with production data pipelines and applications Strong problem-solving skills and passionate about GenAI to contribute to user-facing product Familiarity with NoSQL databases, enterprise search technologies, and recommendation systems Command using statistical computer languages (R, Python, SQL, etc.), SQL, Spark to manipulate data and draw insights from large data sets.

Salary : 30 to 45 LPA Exp: 6 to 10 years Location :Hyderabad (Hybrid) Notice: Immediate to 30 days..!! Roles & responsibilities: 5+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. 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 5+ 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 Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Salary : 20 to 35 LPA Exp: 3 to 8 years Location :/Gurugram/Bangalore/Pune Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. 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 Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Salary : 20 to 35 LPA Exp: 3 to 8 years Location :/Gurugram/Bangalore/Hyderabad Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. 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 Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Data Scientist Python and Notebooks Responsibilities Job Description We are seeking a talented Data Scientist to join our team and drive datadriven decisionmaking across our organization The ideal candidate will have a strong background in statistical analysis machine learning and data visualization with experience working with large datasets in a Teradata environment Responsibilities Design and implement endtoend data science projects from problem definition to model deployment Develop and apply advanced machine learning algorithms and statistical models to solve complex business problems Collaborate with crossfunctional teams to identify opportunities for datadriven improvements Conduct exploratory data analysis and feature engineering to prepare data for modeling Create and maintain dashboards and reports to communicate insights to stakeholders Optimize data collection procedures and ensure data quality Stay current with the latest advancements in data science and machine learning techniques Implement and maintain onpremise AIML solutions Apply Explainable AI techniques to enhance model interpretability and transparency Requirements 10-13 years of experience in data science or related field Strong proficiency in Python R and SQL Experience with Teradata and data lakelakehouse architectures Expertise in machine learning algorithms statistical modeling and data visualization Familiarity with big data technologies eg Hadoop Spark Excellent problemsolving and communication skills Experience with version control systems eg Git Experience with onpremise AIML solutions Knowledge of Explainable AI methods and their practical applications. Location - Bengaluru,Hyderabad,Chennai,Pune

Role & responsibilities Job Description: RAG System Expert for AI/ML Chatbot Development We are seeking a highly skilled AI/ML developer with expertise in Retrieval Augmented Generation (RAG) systems, particularly in multi-modal and non-text-based RAG applications. The ideal candidate will have a strong background in building intelligent RAG solutions that work with diverse data formats, including text, images, and relational data from SQL databases. Key Responsibilities: Design, develop, and deploy RAG-based chatbots using Python and OpenAI APIs. Implement solutions that integrate various data formats (text, images, relational tables) into the RAG framework. Optimize and maintain existing RAG systems, ensuring high performance and accuracy. Requirements: Expertise in RAG systems, with a preference for multi-modal and non-text-based RAG implementations. Minimum of 2 years of experience in Python development. Work experience in AI/ML development. Hands-on experience using OpenAI APIs to build advanced RAG solutions. This role is ideal for a developer passionate about working at the intersection of cutting-edge AI and data-driven solutions.

What's in it for you? Data Scientist Actimize Premier is seeking a Data Scientist / Analyst (Statistics, Applied Mathematics- Mandatory) to design, d evelop, and optimize cutting-edge algorithms and machine learning solutions for financial fraud prevention and anti-money laundering (AML) applications. You will work on behavioral analytics and machine learning models while mentoring junior team members and collaborating closely with cross-functional teams. This role provides an opportunity to contribute to innovative, impactful products at the forefront of financial crime prevention technology. Key Responsibilities: Develop and optimize advanced machine learning models and algorithms for fraud detection and AML applications. Mentor and guide junior data scientists and analysts, fostering a collaborative and high-performance team environment. Leverage cloud platforms (AWS, Azure, Google Cloud) to implement scalable AI/ML solutions. Contribute to the design and implementation of core algorithms, mathematical models, and data-driven solutions. Explore and apply emerging technologies such as Generative AI to enhance fraud detection capabilities. Collaborate with product managers, engineers, and other stakeholders to translate business requirements into robust technical solutions. Perform statistical analysis, data mining, and visualization using tools like Python or R. Drive innovation by researching and integrating the latest advancements in data science and machine learning. Support the team in building user behavior models, leveraging Bayesian statistics, and exploring advanced techniques like social network analysis. Skills and Experience Required: Educational Background: Master’s or Ph.D. in Statistics, Applied Mathematics, Data Science, Computer Science, Electrical Engineering, or a related quantitative field. Professional Experience: 2 –4 years of experience in algorithm development, statistical analysis, and machine learning. Hands-on experience in applying advanced machine learning techniques to real-world datasets in financial fraud prevention, AML, or similar domains. Technical Expertise: Proficiency in Python for statistical analysis, data modeling, and visualization. Experience with cloud technologies and platforms (AWS, Azure, or Google Cloud). Solid understanding of databases and SQL (e.g., MySQL). Exposure to generative AI techniques and their applications in data science. Soft Skills and Teamwork: Strong mentoring and leadership skills, with a proven ability to guide and develop junior team members. Excellent problem-solving skills with a pragmatic approach to balancing theory and practical application. Effective communication skills to collaborate across teams and present complex ideas to stakeholders. Resourceful, adaptable, and passionate about financial crime prevention technologies. Preferred Qualifications: Knowledge of user behavior modeling and Bayesian statistics. Experience in natural language processing (NLP). Familiarity with tools and libraries for generative AI (e.g., Transformer models). Understanding of the financial crime prevention domain and its associated challenges. Why Join Us? At Actimize Premier, you will play a critical role in developing industry-leading solutions to combat financial fraud and money laundering. This role offers the opportunity to work on innovative technologies, mentor a talented team, and make a tangible impact in the fight against financial crime. Join us to lead the evolution of AI-driven fraud detection and AML technologies. Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 8013 Reporting into: Tech Manager Role Type: Individual Contributor

We at Blackstraw.ai. are organizing a Walk-in Interview Drive for Software Engineers with minimum 4 years exp in Python, Sr Data Engineer, Fullstack (Java + Angular), Middleware Engineer, Sr Data Scientist, Python Development , Azure Data Factory , MLOps Engineer, Databricks , Machine learning Python Developers Mini 3 Years Exp - Python, Web Scraping, OOPS, Shell Scripting, Web Application Fullstack Developers Mini 5 Years Exp Angular, Spring Bot Javascript, NodeJS, React, Rest API Data Science Mini 4 Years Exp -AI ML, Predictive Analytics, CV, NLP, GenAI Sr Data Engineer Mini 7 Exp in Python, Spark , PySpark, Hadoop, MySQL, Azure Data Factory, Databricks Important Instructions: Do carry a hard copy of your resume, one passport photograph, along with a government identity proof for ease of access to our premises. *Please note: Do not carry any electronic devices apart from your mobile phone at office premises.* Please send us your resume to chennai.walkin@blackstraw.ai Preference will be given for Immediate Joiners or who can join within 10-15 days.

About KnowDis KnowDis is an AI-driven company based in Delhi dedicated to transforming e-commerce and banking sectors through cutting-edge technology. With expertise in artificial intelligence, machine learning, and large language models (LLMs), we develop innovative solutions that enhance operational efficiency and drive growth. In e-commerce, we build advanced systems for product search optimization, leveraging LLMs to improve natural language queries and search accuracy. Our team includes B.Tech and Phds from various IITs including Delhi, Guwahati, BHU. Across both industries, we are committed to delivering intelligent, scalable AI solutions that shape the future of business and finance. About the Role At KnowDis, you will move the world forward. Every day, we create innovative machine-learning solutions to help our clients across e-commerce, healthcare, and finance domains to solve their problems. We are a group of highly curious professionals dedicated to discovering and implementing new deep learning models. We work at the intersection of machine learning, statistical analysis, deep learning, natural language processing, and computer vis ion.We bring out the best in each other, and together, we work towards the vision of using this expertise to help society and make the world a better place. As a data scientist, you should be passionate about natural language processing, computer vision, statistical sampling, and analytical methods. You will develop machine learning systems, analyze performance, and refine models through hyperparameter tuning and experimentation to optimize results. You will also improve algorithm accuracy by iterating based on performance metrics and fee dback.To succeed in this role, you need exceptional skills in statistics and programming. You will be part of an agile team and will be collaborating with engineers, data engineers, and fellow data scientists. Job Responsibilities Develop and Implement Machine Learning Models: Design, build, and deploy machine learning models and algorithms for various applications, ensuring they are robust and scalable for production use. Data Exploration and Preparation: Collect, clean, and preprocess large datasets, including feature engineering and data transformation, to create a strong foundation for modeling. Model Training and Optimization: Train models using state-of-the-art techniques, optimize performance through hyperparameter tuning, and conduct thorough experimentation to achieve desired results. Analyze and Evaluate Performance: Use appropriate metrics to analyze model accuracy, precision, recall, and other relevant performance indicators, and iteratively improve models based on findings. Experimentation and Research: Stay updated on the latest machine learning and data science advancements, and run experiments to identify potential new techniques and approaches for business challenges. Requirements for the job Bachelor’s/Master's/Ph.D. in Computer Science, Mathematics, Statistics, or equivalent field. Minimum of 1 to 2 years of experience in ML and AI roles. Strong proficiency in Python and machine learning frameworks like PyTorch, TensorFlow, Scikit-learn, and others. Solid understanding of statistical analysis, data modeling, and algorithmic techniques for various ML tasks. Experience in Natural Language Processing (NLP) and/or Computer Vision (CV) is required; any of the followingis preferred: NLP: Strong understanding of RNNs and transformer-based architectures for tasks such as chatbots/dialogue systems, machine translation, named entity recognition, recommendation systems, and retrieval systems. Computer Vision: Hands-on experience with cutting-edge Vision Language Models (VLMs) like ViT, CLIP, Swin Transformers, DINO, GroundedSAM, SAM, YOLOv7/v8, and multimodal architectures like BLIP-2 and GIT-2. Skilled in Visual Question Answering (VQA), image classification, search, and object detection, with expertise in advanced techniques for complex vision and multimodal tasks. Practical experience in building production-ready systems using deployment frameworks such as FastAPI, NVIDIA Triton Inference Server, TorchServe, or TensorFlow. SELECTION PROCESS: Intereste d Candidate s are mandatorily required to apply through this listing on Jigya. Only applications received through Jigya will be evaluated further.Shortlisted candidates may be required to appear in an Online Assessment administered by Jigya on behalf on KnowDis Candidates selected after the screening test will be interviewed by Knowdis.ai

Experience: 7+ years Job Responsibilities Research and Implement cutting edge techniques(Fine tuning, RLHF) in aligning Generative models to specific problem domains. Build the necessary tooling for data acquisition, data cleaning, data augmentation, model training and visualization. Evaluate and Implement the ML/Deep learning/GenAI models Optimize models for production usage and help productize the generation scenarios to a production setting. Required Qualifications, Capabilities, And Skills Masters or relevant degree in Data Science. 4+ years industry experience working as a Data Scientist on large-scale data science projects, with a proven track record of delivering business value. Proficiency in Python or R Expertise in statistical concepts and experience with traditional ML libraries such as scikit-learn, stats models and pandas Experience in optimization and scaling of ML solutions for real world business use cases. Extensive experience with developing and serving large scale Deep learning models across different data domains. Proficiency with at least one deep learning library (Pytorch, Tensorflow or Keras) with building and deploying DNN models in production. Expertise in NLP, Transformers, Large Language Models, hugging face library. Optimizations around LLM training and serving. Experience with production operations and good practices for putting quality code in production and troubleshoot issues when they arise Take initiative and be responsible for delivering complex software by working effectively with the team and other stakeholders Can easily communicate technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams and presentations) Preferred Qualifications Master’s degree in Data Science/ML/AI Certification in cloud platforms such as AWS, GCP, and/or Azure.

We are seeking a talented Data Scientist to join our team and drive datadriven decisionmaking across our organization The ideal candidate will have a strong background in statistical analysis machine learning and data visualization with experience working with large datasets in a Teradata environment Responsibilities Design and implement endtoend data science projects from problem definition to model deployment Develop and apply advanced machine learning algorithms and statistical models to solve complex business problems Collaborate with crossfunctional teams to identify opportunities for datadriven improvements Conduct exploratory data analysis and feature engineering to prepare data for modeling Create and maintain dashboards and reports to communicate insights to stakeholders Optimize data collection procedures and ensure data quality Stay current with the latest advancements in data science and machine learning techniques Implement and maintain onpremise AIML solutions Apply Explainable AI techniques to enhance model interpretability and transparency Requirements Strong proficiency in Python R and SQL Experience with Teradata and data lakelakehouse architectures Expertise in machine learning algorithms statistical modeling and data visualization Familiarity with big data technologies eg Hadoop Spark Excellent problemsolving and communication skills Experience with version control systems eg Git Experience with onpremise AIML solutions Knowledge of Explainable AI methods and their practical applications Keywords: Python, R, SQL, Machine Learning (predictive maintenance, driver behaviour), Deep Learning (ADAS), Data Visualization (Power BI, Tableau), Big Data (Spark, Hadoop), Cloud (AWS/GCP), Automotive datasets, CAN data analysis

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

Job Description We are seeking a Data Scientist Engineer with strong expertise in data analysis, machine learning, and visualization. The ideal candidate should be proficient in Python, Pandas, and Matplotlib, with experience in building and optimizing data-driven models. Some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models would be a plus. Roles & Responsibilities Analyze and process large datasets using Python and Pandas. Develop and optimize machine learning models for predictive analytics. Create data visualizations using Matplotlib and Seaborn to support decision-making. Perform data cleaning, feature engineering, and statistical analysis. Work with structured and unstructured data to extract meaningful insights. Implement and fine-tune NER models for specific use cases (if required). Collaborate with cross-functional teams to drive data-driven solutions. Qualifications 1-3 years of professional experience Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, etc.). Experience in data analysis, statistical modeling, and machine learning. Hands-on expertise in data visualization using Matplotlib and Seaborn. Understanding of SQL and database querying. Familiarity with NLP techniques and NER models is a plus. Strong problem-solving and analytical skill Job Type: Full-time Pay: ₹300,000.00 - ₹1,200,000.00 per year Benefits: Flexible schedule Leave encashment Provident Fund Education: Bachelor's (Preferred) Work Location: In person

Job Title: Data Scientist Location: Mohali Experience: 2–3 Years Type: Full-Time We’re hiring a Data Scientist with 2–3 years of experience to join our team in Mohali. The ideal candidate should have hands-on experience in data analysis, machine learning, and programming (Python/R/SQL). Key Skills: Python / R / SQL Machine Learning Data Visualization (Tableau / Power BI) Strong problem-solving skills Requirements: Bachelor’s/Master’s in Data Science, Computer Science, or related field2–3 years of relevant experience. To Apply: Send your resume to [career.sunfocus@gmail.com] Job Types: Full-time, Permanent Pay: ₹500,000.00 - ₹1,200,000.00 per year Benefits: Paid sick time Paid time off Work from home Work Location: In person

Bhubaneswar, India Job Category : Data Scientist Posting Date : 01 January 2024 Job Type : Engineering Years of Experience : 5 Does this position require a security clearance? No Applicants are required to read,write and speak the following languages Hindi/English Additional Info : Job Description Are you seeking your next career advancement? At our company, we present thrilling prospects for skilled professionals in a diverse range of job fields and positions. Come on board with us to create remarkable achievements. We take pride in being the fastest-growing enterprise resource planning platform, attracting new customers to our advanced system for expediting their business processes. Our teams diligently contribute towards our triumph, each with a crucial role to fulfill. Responsibilities Develop and create AI/ML based predictive solutions and enhance or upgrade existing ones. Collaborate and communicate effectively with various teams within Nirmalya. Establish strong partnerships with business representatives to fully grasp their requirements. Engage proficiently with other teams and individuals. Proficient in programming languages like Python. Exceptional verbal and written English communication abilities. Outstanding troubleshooting and problem-solving skills. Possess a curious mindset to tackle exciting new subjects. Display a high level of curiosity, motivation, and eagerness to learn new technologies. Valuable team player with fast learning abilities. Encouraged to contribute own ideas and perspectives openly. Qualifications Bachelor's or higher degree in computer science or a related technical/scientific discipline. Strong analytical skills required, including a thorough understanding of how to interpret customer business needs and translate them into solutions and operational requirements. Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts. Required Skills Proficiency in mathematics, statistics, computer science, or related fields is required. Preferably, expertise in linear algebra, calculus, and statistics. In-depth knowledge of data science and predictive methodologies is essential. Familiarity with agile working methodologies such as SAFe, SCRUM, KANBAN, etc. is advantageous. Capable of managing multiple projects simultaneously. Additional programming skills are highly advantageous (optional). Disclaimer Hiring Range: from 1000000 to 2250000 per annum. May be eligible for bonus and equity. We maintain broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Nirmalya’s differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. About Us Nirmalya's career has the potential to encompass various industries, roles, countries, and cultures, allowing for growth in novel positions and driving innovation, while effectively balancing work and personal life. Nirmalya has achieved success over the years by embracing change, fostering innovation, and consistently upholding ethical principles, thereby delivering exceptional results for leading companies across multiple industries.To foster and support the talents responsible for such accomplishments, our dedication lies in cultivating an inclusive culture that appreciates and embraces diverse insights and perspectives. We strive to create a workforce that inspires thought leadership and sparks innovation, ensuring a thriving environment for all. Nirmalya Employee Benefits are meticulously designed to prioritize equality, reliability, and affordability. Our comprehensive package encompasses essential features such as Medical and Life Insurance, while also granting access to Retirement Planning and more. Additionally, we actively encourage our employees to actively contribute to the well-being of the communities where we operate. We firmly believe that fostering diversity and inclusion lays the foundation for innovation. To shape a brighter tomorrow, we seek talent from diverse backgrounds, embracing a range of perspectives and abilities. We are committed to providing reasonable accommodations to individuals with disabilities throughout the job application, interview, and prospective role stages, thereby enabling them to effectively perform crucial job functions. Our dedication lies in fostering an inclusive workforce that enables every individual to thrive. We believe in the power of diverse perspectives and value every voice, as it is this harmony that propels us to surpass previous achievements. As an Equal Employment Opportunity Employer, Nirmalya ensures that all applicants are treated fairly and without discrimination. We promote equality regardless of race, color, religion, national origin, gender identity, disability, protected veterans’ status, or any other characteristic protected by law. Additionally, Oracle complies with applicable legislation by considering qualified applicants with arrest and conviction records for employment opportunities. Join our team where diversity is celebrated, and everyone's unique contribution is respected. Together, we embrace innovation and strive towards excellence – a testament to our commitment to fostering an inclusive and thriving workplace.

Join our Team About this opportunity: We are seeking a versatile Data Scientist to join our dynamic team at Ericsson. You will play a pivotal role in harnessing machine learning solutions to solve complex business problems. Predicated on scientific methods, process-driven systems, you will be the driving force behind Ericsson's applied analytics. You will be expected to understand classical and advanced machine learning concepts and apply this knowledge practically to fulfil customer requirements. What you will do: Participate in mapping requirements to implementation - Analysing, coordinating, prioritizing, and optimizing requirements. Ensuring implementation even with constraints. Work with data and develop predictive models, recommendation engines, anomaly detection systems, statistical models, deep learning models, and other machine learning systems Good understanding of machine learning concepts and programming languages like Python, Pyspark, SQL etc. based on latest market trends Ability to work within constraints and timelines and follow the delivery standards and processes defined within Ericsson Good understanding and implementation knowhow of on-premise and well as on-cloud machine learning solutions The skills you bring: Business Understanding. Artificial Intelligence Systems. Software Engineering. Data Management. Ericsson Business Intelligence and Analytics Competence. Open-Source Programming Languages. Data Preprocessing. Statistics. Cloud Development. Machine Learning Algorithms.

Position Overview We are seeking an experienced Data Scientist with 7–8 years of hands-on expertise in applying statistical analysis, machine learning, and predictive modeling techniques. The ideal candidate will have strong experience in supervised learning methods and advanced analytics, with proven ability to design, develop, and deploy data-driven solutions to solve complex business challenges. Key Responsibilities Apply statistical analysis, machine learning, and predictive modeling to develop business-driven solutions. Build and optimize models for classification, regression, and causal inference. Work with supervised learning methods including XGBoost, Ridge, ElasticNet, and Neural Networks. Design and implement predictive analytics models for real-world use cases. Apply causal inference and optimization techniques to derive actionable insights. Collaborate with cross-functional teams (data engineers, business analysts, stakeholders) to integrate models into production systems. Perform model validation, performance evaluation, and tuning to ensure scalability and accuracy. Communicate findings and insights effectively to both technical and non-technical stakeholders. Skills & Expertise Required Strong knowledge in Machine Learning & Predictive Analytics. Hands-on experience with models: XGBoost, Ridge Regression, ElasticNet, Neural Networks. Expertise in causal inference and optimization methodologies. Proficiency in Python/R for statistical modeling and data manipulation. Experience with SQL and working with large datasets. Solid understanding of statistical concepts, data visualization, and feature engineering. Preferred Skills Exposure to cloud-based ML platforms (AWS, Azure, GCP). Knowledge of MLOps and deployment of models into production. Familiarity with Big Data tools (Spark, Hadoop). Skills: data,learning,machine learning,neural networks,analytics,optimization,models,design,modeling

About the company: With over 2.5 crore customers, over 5,000 distribution points and nearly 2,000 branches, IndusInd Bank is a universal bank with a widespread banking footprint across the country. IndusInd offers a wide array of products and services for individuals and corporates including microfinance, personal loans, personal and commercial vehicles loans, credit cards, SME loans. Over the years, IndusInd has grown ceaselessly and dynamically, driven by zeal to offer our customers banking services at par with the highest quality standards in the industry. IndusInd is a pioneer in digital first solutions to bring together the power of next-gen digital product stack, customer excellence and trust of an established bank. Job Purpose: To work on implementing data modeling solutions To design data flow and structure to reduce data redundancy and improving data movement among systems defining a data lineage To work in the Azure Data Warehouse To work with large data volume of data integration Experience With overall experience between 10 to 15 years, applicant must have minimum 8 to 11 years of hard core professional experience in data modeling for large Data Warehouse with multiple Sources. Technical Skills Expertise in core skill of data modeling principles/methods including conceptual, logical & physical Data Models Ability to utilize BI tools like Power BI, Tableau, etc to represent insights Experience in translating/mapping relational data models into XML and Schemas Expert knowledge of metadata management, relational & data modeling tools like ER Studio, Erwin or others. Hands-on experience in relational, dimensional and/or analytical experience (using RDBMS, dimensional, NoSQL, ETL and data ingestion protocols). Very strong in SQL queries Expertise in performance tuning of SQL queries. Ability to analyse source system and create Source to Target mapping. Ability to understand the business use case and create data models or joined data in Datawarehouse. Preferred experience in banking domain and experience in building data models/marts for various banking functions. Good to have knowledge of – -Azure powershell scripting or Python scripting for data transformation in ADF - SSIS, SSAS, BI tools like Power BI -Azure PaaS components like Azure Data Factory, Azure Data Bricks, Azure Data Lake, Azure Synapse (DWH), Polybase, ExpressRoute tunneling, etc. -API integration Responsibility Understanding the existing data model, existing data warehouse design, functional domain subject areas of data, documenting the same with as is architecture and proposed one. Understanding existing ETL process, various sources and analyzing, documenting the best approach to design logical data model where required Work with development team to implement the proposed data model into physical data model, build data flows Work with development team to optimize the database structure with best practices applying optimization methods. Analyze, document and implement to re-use of data model for new initiatives. Will interact with stakeholder, Users, other IT teams to understand the eco system and analyze for solutions Work on user requirements and create queries for creating consumption views for users from the existing DW data. Will train and lead a small team of data engineers. Qualifications Bachelors of Computer Science or Equivalent Should have certification done on Data Modeling and Data Analyst. Good to have a certification of Azure Fundamental and Azure Engineer courses (AZ900 or DP200/201) Behavioral Competencies Should have excellent problem-solving and time management skills Strong analytical thinking skills Applicant should have excellent communication skill and process oriented with flexible execution mindset. Strategic Thinking with Research and Development mindset. Clear and demonstrative communication Efficiently identify and solves issues Identify, track and escalate risks in a timely manner Selection Process: Interested Candidates are mandatorily required to apply through the listing on Jigya. Only applications received through Jigya will be evaluated further. Shortlisted candidates may need to appear in an Online Assessment and/or a Technical Screening interview administered by Jigya, on behalf on IndusInd Bank Candidates selected after the screening rounds will be processed further by IndusInd Bank

About the Role: We are looking for an experienced AI/ML Engineer with a strong background in Generative AI (GenAI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) implementation . You will play a key role in designing, developing, and deploying cutting-edge AI solutions that leverage state-of-the-art machine learning techniques to solve complex problems. Key Responsibilities: Design, develop, and optimize LLM-based applications with a focus on RAG pipelines, fine-tuning, and model deployment. Implement GenAI solutions for text generation, summarization, code generation, and other NLP tasks. Develop and optimize ML models, leveraging classical and deep learning techniques. Build and integrate retrieval systems using vector databases like FAISS, ChromaDB, Pinecone, or Weaviate. Optimize and fine-tune LLMs (e.g., OpenAI GPT, LLaMA, Mistral, Falcon) for domain-specific use cases. Develop data pipelines for training, validation, and inference. Work on scalable AI solutions, ensuring performance and cost efficiency in deployment. Collaborate with cross-functional teams to integrate AI models into production applications. Required Skills & Qualifications: 4+ years of experience in AI/ML development. Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. Hands-on experience with LLMs, GenAI, and RAG architectures. Experience working with vector databases (e.g., FAISS, Pinecone, ChromaDB). Knowledge of ML algorithms, deep learning architectures, and NLP techniques. Familiarity with cloud platforms (AWS, GCP, or Azure) and AI/ML model deployment. Experience with LangChain or LlamaIndex for LLM applications is a plus. Strong problem-solving skills and the ability to work in a fast-paced environment. Perks & Benefits: Health and Wellness: Healthcare policy covering your family and parents. Food: Enjoy scrumptious buffet lunch at the office every day. (Bangalore) Hybrid work policy: Beat the everyday traffic commute. A 3-day in office and 2-day WFH policy based on your roles and responsibilities. Professional Development: Learn and propel your career. We provide workshops, funded online courses and other learning opportunities based on individual needs. Rewards and Recognition's: Recognition and rewards programs in place to celebrate your achievements and contributions.

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