2368 Data Scientist Jobs - Page 31

About Gartner IT: Join a world-class team of skilled engineers who build creative digital solutions to support our colleagues and clients. We make a broad organizational impact by delivering cutting-edge technology solutions that power Gartner. Gartner IT values its culture of nonstop innovation, an outcome-driven approach to success, and the notion that great ideas can come from anyone on the team. About the role: We're seeking an experienced Data Scientist to join our growing Enterprise Data Science & AI team. In this role, you will serve as a technical expert in developing and implementing advanced machine learning/AI models and analytical solutions to improve Gartner's data quality and drive business value. You'll collaborate with cross-functional teams to identify data science and AI opportunities, solve complex business problems, and drive data-driven decision making across the organization. What you’ll do: Design, develop and deploy AI solutions to elevate the quality and depth of Gartner's data assets, ensuring high accuracy, reliability and completeness Lead the development of various predictive and optimization use cases. Follow best practices for data science methodologies, including coding standards, model validation and model monitoring Partner with business users to understand business requirements and translate data science solutions into business action items Collaborate with IT teams to identify and design data pipelines and infrastructure that supports data science model use cases Define success metrics and KPIs for data science projects and initiatives What you’ll need: Bachelor's degree or higher in Data Science, Computer Science, Statistics, Information Management, or related quantitative field 3-5 years of experience in data science, with a proven track record of successfully delivering data science and AI projects in business environments Strong programming skills in Python and experience with data science libraries (sklearn, pandas, NumPy, PyTorch/TensorFlow) Strong experience with large language models (LLMs) and generative AI applications Proficiency in SQL and experience with cloud-based data platforms (AWS or Azure) Excellent communication skills with the ability to translate complex technical concepts for non-technical audiences Knowledge of software development practices (version control, CI/CD, code review) Experience with MLOps tools and best practices for model deployment and monitoring Who you are: Effective time management skills and ability to meet deadlines Excellent communications skills interacting with technical and business audience’s Excellent organization, multitasking, and prioritization skills Must possess a willingness and aptitude to embrace new technologies/ideas and master concepts rapidly. Intellectual curiosity, passion for technology and keeping up with new trends Delivering project work on-time within budget with high quality Don’t meet every single requirement? We encourage you to apply anyway. You might just be the right candidate for this, or other roles. Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to more than 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com. Job Requisition ID:101548 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.

Title : Data Science Lead (Credit Risk & Analytics) - Chennai/Bangalore (Hybrid) We're searching for a passionate Data Science leader to head up a talented team and revolutionize our client's understanding of credit risk. You'll leverage your expertise in advanced analytics, machine learning, and credit risk to develop intelligent solutions that drive business impact. What You'll Do: Guide and empower: Lead and mentor a team of data scientists and analysts, fostering their growth and expertise. Uncover hidden insights and business findings: Analyze diverse data sources, including customer data, cases, and stakeholder feedback, to extract valuable insights. Bridge the gap: Collaborate with business partners to design and implement data-driven solutions that tackle emerging business challenges. Automate for success: Develop intelligent, scalable, and automated solutions using your data science skills. Tech-savvy collaboration: Work with other technology leaders and engineers to define requirements and prioritize capabilities based on data analysis and business needs. Project ownership: Independently lead analytics and data science projects, setting goals, estimating benefits, and managing timelines. Communication is key: Clearly communicate complex findings and actionable outcomes to leadership, peers, stakeholders etc.. Who You Are: Data Science Rockstar: 4+ years of experience in advanced analytics, statistical modelling, and machine learning. Experience in Credit Risk: In-depth understanding of the credit risk lifecycle, from origination to debt collection in the lending domain(b2c).- ***Non-Negotiable*** Tech know-how (must): Proficiency in Python, SQL/NoSQL, ML algorithms, big data concepts, and cloud implementations experience and expertise. Always Learning: Continuously seeks out new knowledge, ideas, and feedback to build personal expertise. Leadership & Communication: Strong organizational skills, follow-through, and exceptional written, verbal, and interpersonal communication. Problem-Solving Powerhouse: High emotional intelligence, can-do attitude, and creative approach to solving problems. Self-starter: Takes ownership, drives projects with minimal guidance, and focuses on high-impact work. Education: Preference would be given to premium educational institute candidates Bonus Points: Collections and Digital Channels experience. Big data and cloud computing experience (Spark, Hadoop, MapReduce, PIG, HIVE). Prior Credit Risk and Credit score domain experience. Location: 1st Preference Chennai/ 2nd Preference Bangalore (Hybrid work model)

Data Scientist—Generative AI: Design, finetune & deploy LLMs, GANs & diffusion models. Build RAG pipelines with FAISS/Pinecone; use Python, PyTorch/TensorFlow, and Hugging Face. Create ML pipelines, ensure model ethics, and deploy via cloud.

About Gartner IT: Join a world-class team of skilled engineers who build creative digital solutions to support our colleagues and clients. We make a broad organizational impact by delivering cutting-edge technology solutions that power Gartner. Gartner IT values its culture of nonstop innovation, an outcome-driven approach to success, and the notion that great ideas can come from anyone on the team. About the role: We're seeking an experienced Data Scientist to join our growing Enterprise Data Science & AI team. In this role, you will serve as a technical expert in developing and implementing advanced machine learning/AI models and analytical solutions to improve Gartner's data quality and drive business value. You'll collaborate with cross-functional teams to identify data science and AI opportunities, solve complex business problems, and drive data-driven decision making across the organization. What you’ll do: Design, develop and deploy AI solutions to elevate the quality and depth of Gartner's data assets, ensuring high accuracy, reliability and completeness Lead the development of various predictive and optimization use cases. Follow best practices for data science methodologies, including coding standards, model validation and model monitoring Partner with business users to understand business requirements and translate data science solutions into business action items Collaborate with IT teams to identify and design data pipelines and infrastructure that supports data science model use cases Define success metrics and KPIs for data science projects and initiatives What you’ll need: Bachelor's degree or higher in Data Science, Computer Science, Statistics, Information Management, or related quantitative field 3-5 years of experience in data science, with a proven track record of successfully delivering data science and AI projects in business environments Strong programming skills in Python and experience with data science libraries (sklearn, pandas, NumPy, PyTorch/TensorFlow) Strong experience with large language models (LLMs) and generative AI applications Proficiency in SQL and experience with cloud-based data platforms (AWS or Azure) Excellent communication skills with the ability to translate complex technical concepts for non-technical audiences Knowledge of software development practices (version control, CI/CD, code review) Experience with MLOps tools and best practices for model deployment and monitoring Who you are: Effective time management skills and ability to meet deadlines Excellent communications skills interacting with technical and business audience’s Excellent organization, multitasking, and prioritization skills Must possess a willingness and aptitude to embrace new technologies/ideas and master concepts rapidly. Intellectual curiosity, passion for technology and keeping up with new trends Delivering project work on-time within budget with high quality Don’t meet every single requirement? We encourage you to apply anyway. You might just be the right candidate for this, or other roles. #LI-PM3 Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to more than 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work . What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to [email protected] . Job Requisition ID:101548 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.

Experience with Natural Language Processing (NLP) and Computer Vision (CV) techniques. Knowledge of DevOps methodologies and practices for continuous integration/continuous delivery (CI/CD). Experience with data warehousing and data lakes solutions like BigQuery or Snowflake. Familiarity with real-time data processing and streaming analytics. Passion for learning and staying at the forefront of data science and machine learning advancements. Master's degree in Computer Science, Statistics, Mathematics, or a related field. 7+ years of experience in data science and machine learning with a strong focus on model development and deployment. Expert-level knowledge of statistics, including probability theory, hypothesis testing, and statistical inference. In-depth knowledge of machine learning algorithms, including linear regression, logistic regression, decision trees Good knowledge on software configuration management systems Strong business acumen, strategy and cross-industry thought leadership Awareness of latest technologies and Industry trends Logical thinking and problem solving skills along with an ability to collaborate Two or three industry domain knowledge Understanding of the financial processes for various types of projects and the various pricing models available Client Interfacing skills Knowledge of SDLC and agile methodologies Project and Team management

Master's degree in Computer Science, Statistics, Mathematics, or a related field. 7+ years of experience in data science and machine learning with a strong focus on model development and deployment. Expert-level knowledge of statistics, including probability theory, hypothesis testing, and statistical inference. In-depth knowledge of machine learning algorithms, including linear regression, logistic regression, decision trees, random forests, xgboost, and ensemble learning. Evaluate the performance of machine learning models and refine them to improve accuracy andgeneralizability. Communicate data insights to stakeholders in a clear and concise manner, using data visualization techniques and storytelling. collaborate with data engineers, software developers, and business stakeholders to integrate data science solutions into products and services. Stay up-to-date with the latest trends and developments in data science, machine learning, and artificial intelligence. Experience with Natural Language Processing (NLP) and Computer Vision (CV) techniques. Knowledge of DevOps methodologies and practices for continuous integration/continuous delivery (CI/CD). Experience with data warehousing and data lakes solutions like BigQuery or Snowflake. Familiarity with real-time data processing and streaming analytics. Passion for learning and staying at the forefront of data science and machine learning advancements.

AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Title: Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics 1) Purpose of the role Contributing to the Data Science efforts of AB InBev's global forecasting team. Candidate will be required to contribute to building, interpreting and scaling forecasting models across multiple ABI markets. 2) Key tasks & accountabilities Preferred industry exposure CPG , Consulting with 3+ years (in case of consulting the typical profile would be of a Lead consultant with relevant experience mentioned in the point below) Experience of working in the domain of Forecasting Analytics preferred “preferably in a CPG organization” with a demonstrated capability of successfully deploying analytics solutions and products for internal or external clients. Has interacted with Senior internal or external stakeholders around project/ service conceptualization and plan of delivery. Exposure to AI/ML methodologies with a previous hands-on experience in ML concepts like forecasting, clustering, regression, classification, optimization, deep learning. Has experience of working on data manipulation using tools such as excel, Python. Strong proficiency in Object-Oriented Programming (OOP) principles and design patterns. Good understanding of data structures and algorithms as they relate to machine learning tasks. Experience with version control tools such as Git. Familiarity with MLOPS and containerization tools like Docker would be plus. Consistently display an intent for problem solving 3) Qualifications, Experience, Skills Level of educational attainment required B. Tech/BE/ Masters in Statistics or Economics/ econometrics, MBA Previous work experience Minimum 3 years of relevant experience. Technical Skills required Hands-on experience in data manipulation using Excel, Python. Expert level proficiency in Python(knowledge of writing end-to-end ML or data pipelines in python) Proficient in application of ML concepts and forecasting techniques to solve end-to-end business problems. Familiarity with Azure Tech Stack, Databricks, ML Flow in any cloud platform. Other Skills required Passion for solving problems using data Detail oriented, analytical and inquisitive Ability to effectively communicate and present information at various levels of an organization Ability to work independently and with others And above all of this, an undying love for beer! We dream big to create future with more cheers

Job Description : Role: Sr. Analyst Shift Timings: 1.30PM to 10.30PM Location: Mumbai & Gurugram Summary: Job synopsis: As a Data Scientist, you will develop and present analytics to support decision-making for the business, internal stakeholders, and leadership. Your responsibilities will include predictive modelling, managing large datasets and creating visually appealing, insightful presentations and reports that effectively communicate information to diverse audiences. Additionally, you will collect, analyse, and interpret complex data to gain insights and assist with informed business decisions. Principal Duties/Responsibilities: Gain a comprehensive understanding of the process and data flow. Acquire in-depth knowledge of the reports provided by GB Outsourcing. Create analytics and reports for insurers to enable strategic decision-making based on various facts, figures, and trends. Develop analytics for internal stakeholders and provide regular feedback. Work with the business to develop new products and evaluate their impact. Additionally, collaborate with stakeholders to understand their needs and provide data-driven insights to inform decision-making. Translate analytical insights into strategic recommendations and effectively communicate them to both technical and non-technical stakeholders. Adapt to a fast-changing environment, switching priorities as needed while producing high-quality and accurate reports. Innovate by proposing and implementing ideas for new reports and process simplification Qualifications : Tech (coding) Graduate or Post-Graduate in Data Science Experience : 2-3 years of experience in analytics profile with working knowledge to predictive analytics preferably Technical Competencies: Experience in SQL, R, Python, with VBA optional Working knowledge on capabilities of Gen AI Background in Computer Science & Statistics preferred. Data Analysis and Interpretation Skills: • Impactful written and verbal communication • Strong team player • Business acumen • Problem-solving, quantitative, and analytical skills • Logical thinking • Highly self-driven in managing your own portfolio and assigned responsibilities with accuracy. • Technical competency to do complex work independently. • Ability to prioritize tasks and meet project deadlines

Your Role and Responsibilities 3+ years of experience in a Data Science, machine learning or a related field. Strong hands-on experience in Machine Learning and Statistics focusing on structured and unstructured data problems. Practical experience in several of the following areas: time series forecasting, clustering and classification techniques, regression, boosting algorithms, optimization techniques, NLP, recommendation systems, ElasticNet Excellent programming skills preferably in Python/Py spark and SQL Understanding of developing, implementing, deploying machine learning models on the cloud platforms(Azure, AWS, GCP) by using AWS/Azure Machine Learning, Data bricks, or other relevant cloud services Integrate machine learning models into existing systems and applications, ensuring seamless functionality and data flow Understanding of developing and maintaining MLOps pipelines for automated model training, testing, deployment, and monitoring Understanding of monitoring and analysing model performance, providing reports and insights to stakeholders as needed Familiarity with data processing and storage tools, such as SQL, Hadoop, or Spark Advanced engineering abilities to deliver flexible and scalable end-to-end machine learning solutions. Exposure to data visualization software and packages (Power BI, Tableau, matplotlib, d3) Understands challenges in business area, applicability of relevant data science disciplines, and system interactions. Excellent written and verbal communication skills, confidence in presenting ideas and findings to stakeholders, and ability to do so at the right level of detail. Required Technical and Professional Expertise Engineering Graduate from a reputed institute and/or Masters in Statistics, MBA 3+ years of Data science experience Strong expertise and deep understanding of machine learning. Strong understanding of SQL & Python. Knowledge of Power BI or Tableau is a plus Exposure to Industry specific (CPG, Manufacturing) use cases is required Strong client-facing skills Must be organized and detail oriented. Excellent communication and interpersonal skills Preferred Technical and Professional Experience Strong foundation in Supervised and Unsupervised Learning (Regression, Classification, Clustering, etc.). Proficiency in Ensemble Learning (Random Forest, Gradient Boosting, XGBoost, LightGBM, etc.). Experience in fine-tuning Large Language Models (LLMs) and working with open-source models (Llama, GPT, BERT, etc.). Familiarity with Prompt Engineering, RAG (Retrieval-Augmented Generation), and Fine-tuning techniques. Hands-on experience with Cloud Platforms (AWS, GCP, Azure) for ML model deployment. Familiarity with MLOps and Model Deployment using Kubernetes, Docker, and MLflow.

3+ Years of experience in Data Scientists with Python, Tensorflow and Pytorch. Experience in AI techniques (e.g., machine learning, predictive analytics. optimization, semantic analysis, time-series analysis) to real-world problems

Key Responsibilities: Manage a team of data scientists, machine learning engineers and big data specialists Lead data mining procedures ensuring data quality and integrity. Interpret and analyse data problems and suggest workable solutions. Conceive, plan, and prioritize multiple analytical projects at a time. Build analytic systems and predictive models as required for the business needs. Monitor the model performance periodically and suggest appropriate actionable when the performance declines Experiment with new models and techniques and suggest appropriate techniques for each requirement. Run sample models as DOE/ AB testing / Champion x Challenger to test and identify business opportunity under controlled environment Align data projects with organizational goals ensuring integrity, accuracy, and timeliness of data used in building of models. Work closely with business analysts, data engineers, and other stakeholders to gather requirements and ensure alignment with business objectives. Provide support and training to end-users on automated reporting tools and processes. Required Skills and Qualifications: Education: Bachelor s degree in Data Science, Mathematics, Statistics, Business Analytics, or a related field. Advanced degrees or certifications are a plus. Experience: Experience in handling a team of 3 data scientists or above. Proficiency in programming languages such as Python or R for data interpretation and segmentation. Experience with SQL for data extraction and manipulation. Good experience in building analytical models and scorecards in lending industry. Technical Skills: Strong understanding of NBFC business, knowledge of database and data massaging methodologies. Familiarity with cloud-based data platforms (e.g., AWS, Azure, Google Cloud) is an advantage. Knowledge of scripting and automation tools (e.g., Bash, PowerShell) is beneficial. Soft Skills: Excellent analytical and problem-solving skills. Strong attention to detail and ability to work with complex datasets. Effective communication skills, both written and verbal. Ability to work independently as well as part of a team. Preferred Skills and Qualifications: Experience with advanced analytics or machine learning techniques. Familiarity with Agile or other project management methodologies. Experience in a similar industry or domain.

Key Responsibilities: Manage a team of data scientists, machine learning engineers and big data specialists Lead data mining procedures ensuring data quality and integrity. Interpret and analyse data problems and suggest workable solutions. Conceive, plan, and prioritize multiple analytical projects at a time. Build analytic systems and predictive models as required for the business needs. Monitor the model performance periodically and suggest appropriate actionable when the performance declines Experiment with new models and techniques and suggest appropriate techniques for each requirement. Run sample models as DOE/ AB testing / Champion x Challenger to test and identify business opportunity under controlled environment Align data projects with organizational goals ensuring integrity, accuracy, and timeliness of data used in building of models. Work closely with business analysts, data engineers, and other stakeholders to gather requirements and ensure alignment with business objectives. Provide support and training to end-users on automated reporting tools and processes. Required Skills and Qualifications: Education: Bachelor s degree in Data Science, Mathematics, Statistics, Business Analytics, or a related field. Advanced degrees or certifications are a plus. Experience: Experience in handling a team of 3 data scientists or above. Proficiency in programming languages such as Python or R for data interpretation and segmentation. Experience with SQL for data extraction and manipulation. Good experience in building analytical models and scorecards in lending industry. Technical Skills: Strong understanding of NBFC business, knowledge of database and data massaging methodologies. Familiarity with cloud-based data platforms (e.g., AWS, Azure, Google Cloud) is an advantage. Knowledge of scripting and automation tools (e.g., Bash, PowerShell) is beneficial. Soft Skills: Excellent analytical and problem-solving skills. Strong attention to detail and ability to work with complex datasets. Effective communication skills, both written and verbal. Ability to work independently as well as part of a team. Preferred Skills and Qualifications: Experience with advanced analytics or machine learning techniques. Familiarity with Agile or other project management methodologies. Experience in a similar industry or domain.

Job Description Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications. 1. Applies scientific methods to analyse and solve software engineering problems. 2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance. 3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers. 4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities. 5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Job Description - Grade Specific Is highly respected, experienced and trusted. Masters all phases of the software development lifecycle and applies innovation and industrialization. Shows a clear dedication and commitment to business objectives and responsibilities and to the group as a whole. Operates with no supervision in highly complex environments and takes responsibility for a substantial aspect of Capgemini’s activity. Is able to manage difficult and complex situations calmly and professionally. Considers ‘the bigger picture’ when making decisions and demonstrates a clear understanding of commercial and negotiating principles in less-easy situations. Focuses on developing long term partnerships with clients. Demonstrates leadership that balances business, technical and people objectives. Plays a significant part in the recruitment and development of people. Skills (competencies) Verbal Communication

About this role: AI-focused Software Development position responsible for the architecture, implementation, design, and deployment of algorithms and Python based applications to help fulfill our Research & Consulting Delivery strategy. What you ll do: Establish methodologies for quickly rolling out new data analysis capabilities for standalone data-driven products and services to support our associates using AI, ML, and LLMs. Lead architecture and technical design discussions to ensure data science solutions align with the organizations strategic objectives. Continuously improve models through experimentation and optimization techniques. Analyze unstructured text data to discover insights and patterns using advanced data science techniques, including machine learning and natural language processing Use a combination and quantitative (science) and qualitative (art) methodologies to prioritize AI initiatives. Stay on top of fast-moving AI/ML models and technologies. Understand and follow disruptive data science solutions. Evangelize new technologies and drive their adoption. Create Data Science packages and APIs for use across the organization Mentor junior members of the team on effective technical practices and non-technical acumen Be accountable for the scalability, stability, and business adoption of data science solutions What you ll need: 6-9 years of experience in algorithms and statistics and experience in data mining, machine learning, deep learning and natural language processing. Ability to provision packages and APIs for production data science code. Must have: Education qualification as graduate or postgraduate degree in Engineering or Data Science is required. Experience in Machine learning models and techniques like NLP, BERT, Transformers, Deep learning. Experience using LLMs (e.g., OpenAI, Cohere, Anthropic, Llama, etc) to deliver business outcomes. Stay on top of fast-moving AI/ML models and technologies. Understand and follow disruptive data science solutions. Evangelize new technologies and drive their adoption. Demonstrated ability to translate quantitative analysis into actionable business strategies. Ability to work collaboratively across business, data science and technical stakeholders. Who you are Graduate/Postgraduate in BE/B tech, ME/MTech or MCA are preferred. Excellent communication and prioritization skills. Able to work independently or within a team proactively in a fast-paced AGILE-SCRUM environment Owns success - Takes responsibility for successful delivery of the solutions. Ardent desire to improve upon their skills in software development, frameworks, and technologies.

Immediate joiners to max 15 days only Work Location: Hyderabad 5 days work from office No. of positions: 5 Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. Proven experience as a Data Scientist with 4-5 years of hands-on experience. Strong proficiency in Python programming, machine learning model development, and GenAI integration. Expertise in machine learning frameworks such as TensorFlow, PyTorch, scikit-learn, etc. Knowledge of MLOps practices, including model versioning and containerization. Excellent data analysis and problem-solving skills with attention to detail. Effective communication and collaboration skills. Data Analytics view , Analytical Thinking, Data Slicing, Data Engineering. Select the right model and present the findings & justification / documentation of the findings - PPT / Other ways of doing Plan his own work / day Additional Preferred Skills: Experience with cloud platforms (e.g., AWS, Azure, GCP). Familiarity with big data technologies (e.g., Apache Spark, Hadoop). Knowledge of deep learning techniques and neural networks. Previous involvement in end-to-end machine learning lifecycle projects with GenAI components If Interested please reach mounika.tungala@coforge.com Total Exp : Rel Exp : ctc : Exp ctc : Notice : current location : Ready to work from office : any offers : ready for inperson Interview :

Job Title - S&C Global Network - AI - Retail - Consultant - Retail Specialized Data Scientist/ Retail Specialized Data Scientist Level 9 SnC GN Data & AI Management Level:09 - Consultant Location:Bangalore / Gurgaon / Mumbai / Chennai / Pune / Hyderabad / Kolkata Must have skills: A solid understanding of retail industry dynamics, including key performance indicators (KPIs) such as sales trends, customer segmentation, inventory turnover, and promotions. Strong ability to communicate complex data insights to non-technical stakeholders, including senior management, marketing, and operational teams. Meticulous in ensuring data quality, accuracy, and consistency when handling large, complex datasets. Gather and clean data from various retail sources, such as sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns. Strong proficiency in Python for data manipulation, statistical analysis, and machine learning (libraries like Pandas, NumPy, Scikit-learn). Expertise in supervised and unsupervised learning algorithms Use advanced analytics to optimize pricing strategies based on market demand, competitor pricing, and customer price sensitivity. Good to have skills: Familiarity with big data processing platforms like Apache Spark, Hadoop, or cloud-based platforms such as AWS or Google Cloud for large-scale data processing. Experience with ETL (Extract, Transform, Load) processes and tools like Apache Airflow to automate data workflows. Familiarity with designing scalable and efficient data pipelines and architecture. Experience with tools like Tableau, Power BI, Matplotlib, and Seaborn to create meaningful visualizations that present data insights clearly. Job Summary : The Retail Specialized Data Scientist will play a pivotal role in utilizing advanced analytics, machine learning, and statistical modeling techniques to help our retail business make data-driven decisions. This individual will work closely with teams across marketing, product management, supply chain, and customer insights to drive business strategies and innovations. The ideal candidate should have experience in retail analytics and the ability to translate data into actionable insights. Roles & Responsibilities: Leverage Retail Knowledge:Utilize your deep understanding of the retail industry (merchandising, customer behavior, product lifecycle) to design AI solutions that address critical retail business needs. Gather and clean data from various retail sources, such as sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns. Apply machine learning algorithms, such as classification, clustering, regression, and deep learning, to enhance predictive models. Use AI-driven techniques for personalization, demand forecasting, and fraud detection. Use advanced statistical methods help optimize existing use cases and build new products to serve new challenges and use cases. Stay updated on the latest trends in data science and retail technology. Collaborate with executives, product managers, and marketing teams to translate insights into business actions. Professional & Technical Skills : Strong analytical and statistical skills. Expertise in machine learning and AI. Experience with retail-specific datasets and KPIs. Proficiency in data visualization and reporting tools. Ability to work with large datasets and complex data structures. Strong communication skills to interact with both technical and non-technical stakeholders. A solid understanding of the retail business and consumer behavior. Programming Languages:Python, R, SQL, Scala Data Analysis Tools:Pandas, NumPy, Scikit-learn, TensorFlow, Keras Visualization Tools:Tableau, Power BI, Matplotlib, Seaborn Big Data Technologies:Hadoop, Spark, AWS, Google Cloud Databases:SQL, NoSQL (MongoDB, Cassandra) Additional Information: - Qualification Experience: Minimum 3 year(s) of experience is required Educational Qualification: Bachelors or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.

Principal AI Data Scientist full-time remote from anywhere in the India #LI-Remote Description: The Principal, AI Data Scientist will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Research and Development. Essential Functions: Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build. Support the development and implementation GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives. Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients engagement. Support the design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Ensuring compliance with regulatory requirements and data privacy standards. Required Knowledge, Skills and Abilities: Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Knowledge/experience with digital healthcare tools design and development Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high compute cloud-based platforms and services, in particular AWS. Familiarity with code version control and MLOps deployment approaches. Minimum Requirements Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 3 - 5 years of related professional experience, with 1+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/AI implementation in healthcare field is a plus. Knowledge of digital healthcare tools design and development

Job Title: R Shiny Engineer/Data Scientist Required Experience: 3-4 years Job Description: As the Data Scientist, you will play a pivotal role in driving data-driven decision-making and advancing our organization's AI and analytical capabilities. You will lead a team of data scientists, collaborate with cross-functional teams, and contribute to the development and implementation of AI and advanced analytics solutions. This position requires a strong combination of technical expertise, leadership skills, and business acumen . Responsibilities: Team Leadership: Lead, mentor, and inspire a team of junior data scientists, fostering a collaborative and innovative work environment. Provide technical guidance, set priorities, and ensure the team's alignment with organizational goals. Conduct regular performance assessments and contribute to professional development plans. Strategy and Planning: Collaborate with stakeholders to understand business objectives and identify opportunities for leveraging data to achieve strategic goals. Develop and execute a data science roadmap, ensuring alignment with overall business and technology strategies. Stay abreast of industry trends, emerging technologies, and best practices in data science. Advanced Analytics and Statistical Modeling: Design, develop, and implement advanced machine learning models and statistical algorithms to extract insights and solve complex business problems. Apply robust statistical process control (SPC), univariate and multivariate analysis, and both parametric and non-parametric statistical techniques. Conduct hypothesis testing, PCA, Shapiro-Wilk test, Anderson-Darling test, Box-Cox transformation, and other statistical methods to ensure data quality and model validity. Work extensively with batch genealogy data and large manufacturing datasets to uncover patterns and optimize operational efficiency. Ensure strong statistical analysis support for both normal and non-normal distributions R Shiny Application Development: Develop and maintain robust, interactive R Shiny applications to support dynamic data exploration and decision-making platforms. Build scalable and user-driven front-end interfaces for real-time statistical analysis and visualization. Collaborate with backend engineers to integrate R Shiny platforms with Redshift and other data sources for seamless analytics delivery. Cross-functional Collaboration: Collaborate with cross-functional teams, including business analysts, software engineers, and domain experts, to integrate data science solutions into business processes. Communicate complex analytical findings to non-technical stakeholders in a clear and actionable manner. Data Governance and Quality: Establish and enforce data governance standards to ensure the accuracy, reliability, and security of data used for analysis. Work with data engineering teams to enhance data quality and integrity throughout the data lifecycle. Project Management: Oversee the end-to-end execution of data science projects, ensuring timelines, budgets, and deliverables are met. Provide regular project updates to stakeholders and manage expectations effectively. Technical Expertise: Provide technical guidance and execution for the latest GenAI technologies, including but not limited to LLM/SLM/VLM and Multi-modal AI Algorithms. Leverage Transformers for complex natural language processing-based tasks. Lead the development of deep learning technologies like computer vision for image processing, OCR/IDP, object detection and tracking, segmentation, Image generation, Convolutional Neural Networks, Capsule Networks, etc Development of core Machine Learning algorithms like time series analysis with Neural ODEs; Variational Autoencoders for Image Generation and anomaly detection; Provide oversight for core deep learning algorithms like Neural Architecture Search for optimization and Graph Neural Networks for molecular structures. Qualifications: Master's or Ph.D. in a quantitative field (Computer Science, Statistics, Mathematics, etc.) Minimum 1.5+ years of experience leading a team of junior data scientists, with a proven track record of successful project implementations. Proven experience in developing and deploying R Shiny applications for real-time analytics and statistical platforms. In-depth experience with SPC, hypothesis testing, PCA, Shapiro-Wilk test, Anderson-Darling test, Box-Cox transformation, and batch genealogy analysis. Experience in developing statistical solutions for both normal and non-normal distributions, and applying both univariate and multivariate techniques. Experience with GenAI, Agentic AI, LLM Training, and LLM-driven workflow development. Knowledge of large multi-modal models is a must. Experience in MLOps, Statistical Modeling, and Data Visualization. Must have experience with the development and implementation of various core Machine Learning algorithms mentioned above. Must have hands-on experience with Deep Learning technologies for computer vision and image processing, as well as core neural network applications like optimization. Experience in developing ML, AI, and Data Science solutions and putting solutions in production, with proficiency in Data Engineering, is desirable. Experience in the development and implementation of scalable and efficient data pipelines using AWS services such as SageMaker, S3, Glue, and/or Redshift. Excellent leadership, communication, and interpersonal skills. Experience with big data technologies and cloud platforms is a plus. Industry IT Services and IT Consulting

Job Title: Sr. Data Scientist Location: Office-Based (Ahmedabad, India) About Hitech Hitech is a leading provider of Data, Engineering Services, and Business Process Solutions. With robust delivery centers in India and global sales offices in the USA, UK, and the Netherlands, we enable digital transformation for clients across industries including Manufacturing, Real Estate, and e-Commerce. Our Data Solutions practice integrates automation, digitalization, and outsourcing to deliver measurable business outcomes. As we continue expanding, were looking for a skilled Lead Data Scientist to guide innovation, lead teams, and solve complex problems using advanced analytics and machine learning. Position Summary As a Lead Data Scientist, you will lead a team of data scientists, machine learning engineers, and big data specialists to design, develop, and deploy data-driven solutions. You will be responsible for identifying business opportunities, translating them into data strategies, and driving measurable outcomes. This role demands strong leadership, deep technical expertise, and a passion for continuous innovation. Key Responsibilities Manage a team of data scientists, machine learning engineers, and big data specialists. Lead data mining, data collection, and cleansing procedures. Ensure high standards of data quality and integrity across all projects. Interpret complex data sets to identify patterns, trends, and actionable insights. Conceive, plan, and prioritize data science initiatives aligned with business goals. Develop and deploy scalable analytics systems and predictive models. Test and validate data-driven products for performance and reliability. Create compelling visualizations and comprehensive reports for stakeholders. Experiment with emerging models and machine learning techniques for innovation. Qualifications & Experience 6-8 years of working experience in Image Processing using deep learning frameworks such as OpenCV, PyTorch, TensorFlow, Theano, and Caffe. Experience in Text Analytics using NLP tools and techniques on unstructured data. Proven track record in building, deploying, and scaling statistical and deep learning models. Experience with large-scale data (structured and unstructured), data management, parallel computing, and distributed systems. Ability to thrive with minimal supervision in a dynamic, fast-paced environment. Capability to understand diverse business processes and quickly contextualize data requirements. Strong problem-solving skills to translate business problems into actionable data strategies. Excellent communication skills (verbal and written) with a learning and innovation mindset. Strong passion for leveraging AI/ML to solve business problems and a proactive approach to experimentation. Hands-on experience with exploratory data analysis, machine learning, and advanced analytics methods. What We Offer Competitive compensation based on skills and experience. Leadership role in building and scaling AI/ML initiatives. Opportunity to work on high-impact global projects with cutting-edge technologies. Continuous learning, innovation, and professional development support. A collaborative, inclusive, and tech-driven workplace environment. If you're passionate about driving innovation through data and leading a dynamic team to solve real-world problems, wed love to hear from you. Anand Soni Hitech Digital Solutions

company name=Apptad Technologies Pvt Ltd., industry=Employment Firms/Recruitment Services Firms, experience=7 to 13 , jd= Data Scientist Python and Notebooks Responsibilities 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 1013 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 , Title=Data Scientist, ref=6566343

Design, implement, and evaluate data-driven solutions using advanced machine learning and Agentic AI frameworks. Work on LLM-based architectures, including prompt engineering, memory systems, and agent orchestration (e.g., LangChain, AutoGPT).

Job Title: Data Scientist Location: Mumbai/Indore/Surat Job Type: Full-time About Us: Everestek is a forward-thinking organization specializing in designing and deploying cutting-edge AI solutions. From powerful recommendation engines and intuitive chatbots to state-of-the-art generative AI and deep learning applications, we empower businesses to harness the full potential of their data. Our mission is to create transformative, data-driven products that enable our clients to innovate faster, personalize their offerings, and stay ahead in an ever-evolving tech landscape. At Everestek, we foster a culture of collaboration, creativity, and continuous learning. Our dynamic team of data scientists, engineers, and innovators is dedicated to pushing the boundaries of what's possible in artificial intelligence. If youre passionate about solving complex problems and want to be part of an organization that values experimentation and impact, Everestek is the place for you. Key Responsibilities: Design, build, and optimize machine/deep learning models, including predictive models, recommendation systems, and Gen-AI-based solutions. Develop and implement advanced AI agents capable of performing autonomous tasks, decision-making, and executing requirement-specific workflows. Prompt engineer to develop new and enhance existing Gen-AI applications. (Chatbots, RAG) Perform advanced data manipulation, cleansing, and analysis to extract actionable insights from structured and unstructured data. Create scalable and efficient recommendation systems that enhance user personalization and engagement. Design and deploy AI-driven chatbots and virtual assistants, focusing on natural language understanding and contextual relevance. Implement and optimize machine and deep learning models for NLP tasks, including text classification, sentiment analysis, and language generation. Explore, develop, and deploy state-of-the-art technologies for AI agents, integrating them with broader enterprise systems. Collaborate with cross-functional teams to gather business requirements and deliver AI-driven solutions tailored to specific use cases. Automate workflows using advanced AI tools and frameworks to increase efficiency and reduce manual interventions. Stay informed about cutting-edge advancements in AI, machine learning, NLP, and Gen AI applications, and assess their relevance to the organization. Effectively communicate technical solutions and findings to both technical and non-technical stakeholders. Qualifications and Skills: Required: At least 3 years of experience working with data sciences. Python proficiency and hands-on experience with libraries like (Pandas, Numpy, Matplotlib, NLTK, Sklearn, and Tensorflow) Proven experience in designing and implementing AI agents and autonomous systems. Strong expertise in machine learning, including predictive modeling and recommendation systems. Hands-on experience with deep learning frameworks like TensorFlow or PyTorch, focusing on NLP and AI-driven solutions. Advanced understanding of natural language processing (NLP) techniques and tools, including transformers like BERT, GPT, or similar models including open-source LLMs. Experience in prompt engineering for AI models to enhance functionality and adaptability. Strong knowledge of cloud platforms (AWS) for deploying and scaling AI models. Familiarity with AI agent frameworks like LangChain, OpenAI APIs, or other agent-building tools. Advanced skills in Relational databases [Postgres], Vector Database, querying, analytics, semantic search, and data manipulation. Strong problem-solving and critical-thinking skills, with the ability to handle complex technical challenges. Hands-on experience working with API frameworks like Flask, FastAPI, etc. Git and GitHub proficiency. Excellent communication & documentation skills to articulate complex ideas to diverse audiences. Preferred: Hands-on experience building and deploying conversational AI, chatbots, and virtual assistants. Familiarity with MLOps pipelines and CI/CD for AI/ML workflows. Experience with reinforcement learning or multi-agent systems. BE (OR Master) in Computer Science, Data Science, or Artificial Intelligence. Agentic AI systems using frameworks like Langchain or similar.

We are looking for a Data Scientist to help us gain useful insight from raw data. Data scientists' responsibilities include working with the data science team, planning projects, and building analytics models. You should have a strong problem-solving ability and a knack for statistical analysis. If you're also able to align our data products with our business goals, we'd like to meet you. Your ultimate goal will be to help improve our products and business decisions by making the most out of our data. Responsibilities Responsible for overseeing the data scientists' team and data specialists. Teach, lead, and counsel colleagues on new techniques or solutions. Collaborate with data and software engineers to enable the deployment of sciences and technologies that will scale across the company's ecosystem. Responsible for the conception, planning, and prioritizing of data projects. Responsible for building analytic systems and predictive models, as well as experimenting with new models and techniques. Ensure that data projects align with organizational goals. Requirements Master's degree in Computer Science, Operations Research, Econometrics, Statistics, or related technical field. 3+ years of experience solving analytical problems using quantitative approaches. Experience communicating quantitative analysis results. Knowledge of relational databases and SQL. Development experience in any scripting language (PHP, Python, Perl, etc. ). Knowledge of statistics (e. g., hypothesis testing, regression). Experience manipulating data sets through statistical software (ex., R, SAS) or other methods. Must Have Programming - Python (Preferred) / R. ML Models - i. Regression - Linear, Logistic, Multinomial, Mixed effect. Classification - Bagging and Boosting (Random Forest), Decision tree, SVM. Clustering - K-Means, hierarchical, DB-Scan. Time series - ARIMA, SARIMA, ARIMAX, Holt-Winters, Multi TS (VAR), UCM, Neural Networks (Deep learning), Naive Bayes, Excel, and SQL. Dimensionality Reduction - PCA, SVD, etc. Optimization Techniques - Linear programming, Gradient Descent, Genetic Algorithm. Cloud - Understanding of Azure / AWS offerings, setting up an ML pipeline in the cloud. Good To Have Visualization - Tableau / Power BI / Looker / QlikView. Data management - HDFS, Spark, Advanced Excel. Agile Tools - Azure DevOps, JIRA, Pyspark, Big Data/Hive Database. IDE: PyCharm. This job was posted by Debapti Roy from mPokket.

Is responsible for building end-to-end machine learning solutions using Python and statistical algorithms on GCP, with a focus on commerce/CPG domains and deployment management .plz share your profile to sheetal.gighub@gmail.com

Experience Required: 2-5Years No. of vacancies: 4 Job Type: Full Time Vacancy Role: WFO Job Category: Development Job Description We are seeking a Data Scientist with strong expertise in data analysis, machine learning, and visualization. The ideal candidate should be proficient in Python, Pandas, and Matplotlib, with experience in building and optimizing data-driven models. Some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models would be a plus. Roles & Responsibilities Analyze and process large datasets using Python and Pandas. Develop and optimize machine learning models for predictive analytics. Create data visualizations using Matplotlib and Seaborn to support decision-making. Perform data cleaning, feature engineering, and statistical analysis. Work with structured and unstructured data to extract meaningful insights. Implement and fine-tune NER models for specific use cases (if required). Collaborate with cross-functional teams to drive data-driven solutions. Qualifications 2+ years of professional experience Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, etc.). Experience in data analysis, statistical modeling, and machine learning. Hands-on expertise in data visualization using Matplotlib and Seaborn. Understanding of SQL and database querying. Familiarity with NLP techniques and NER models is a plus. Strong problem-solving and analytical skill Job Type: Full-time Pay: ₹900,000.00 - ₹2,000,000.00 per year Benefits: Flexible schedule Leave encashment Provident Fund Schedule: Day shift Work Location: In person