1530 Data Scientist Jobs - Page 9

Key responsibilities: 1- Development of Predictions Model using ML algorithms in entire customer journey and life cycle (Acquisition, Behaviour, Collections, Propensity, Marketing, Fraud, etc.) 2- Design and Strategy Development to offer best in class Assets Products to customers. 3- Building Prediction Model using big data from digital signals, alternate data and beyond. 4- Partnering, exploring and expanding solutions with different data providers and Companies. 5- Ownership and Responsibility to lead/manage large scale projects/model Development & Deployment. Skill Sets & key requirements: 1- Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 2- Should have worked in Banking/Fintech domain in Credit/Fraud Risk with strong understanding of Bureau Data & in-house banking Data. 3- Advance Coding skills with at least one of these- Python/SQL/Pyspark languages 1- Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. 2- Have worked across end to end in model design, development, validation, documentation & deployment. 3- Create great data stories with expertise in robust EDA and statistical inference

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Data Scientist Location: Bangalore Reporting to: Senior Manager Purpose of the role The Global Brand Analytics Team at Anheuser-Busch InBev (AB InBev) is tasked with helping strengthen AB InBev’s brands across the globe. The solutions we provide aim to extract insights and give guidance on actionable from all our brand related data. The derived data-driven insights play a pivotal role in empowering our Marketing teams to make well-informed decisions backed by cutting edge modelling techniques and thorough analysis. Key tasks & accountabilities Execute coding skills to develop ML/time-series models. Focus on developing end-to-end analytical solution and present them to business partners/stakeholders. Should have consultative mindset to come up with solutions that can be easily understood and interpreted by business users. Research on the newer technologies and algorithms, to provide better solutions to the current problems. Interact and manage expectations of multiple stakeholders, building compelling narratives and help drive value for businesses by helping them strengthen brands on ground. Qualifications, Experience, Skills Level Of Educational Attainment Required Degree in business analytics / data science / statistics / economics and / or degree in Engineering, Mathematics or Computer Science. Previous Work Experience Minimum 3 years of experience, 2 years in to Data Science must. Hands-on experience in implementation of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques) and time-series algorithms (e.g. ARIMA, ARIMAX, UCM, Holt-Winters and others). Strong programming skills with working knowledge of SQL, Python. Excellent problem-solving and analytical mindset. Strong communication and interpersonal skills. Strong story boarding skills. Preferred Skills Marketing Analytics background in FMCG And above all of this, an undying love for beer! We dream big to create future with more cheers.

Exp: 5yrs to 7yrs Strong in Advanced Analytics projects CEO Structure, Good Statistical & Prediction. Direct Business user. Strong in SME. Report to CIO Responsibilities: • The Senior Data Scientist will • Collect, clean, and analyze large datasets to extract meaningful insights. Utilize statistical methods to interpret data and identify trends. • Design, develop, and implement machine learning models and algorithms tailored to specific business needs. Optimize models for performance and accuracy. • Work closely with stakeholders to define project goals and deliver actionable insights. • Stay up-to-date with the latest Al/ML trends, tools, and technologies. Experiment with new approaches to enhance our data science capabilities. • Present findings and recommendations to both technical and non-technical audiences. • Prepare clear documentation for methodologies and results. • Develop metrics to assess the effectiveness of models and solutions. Continuously monitor and improve model performance. • Lead the CoE to meet its stated objectives for formulating policies, standards, ethics, tools, technology stack and procedures around the use of AI and ML in the organization, among others. • Mentor data scientists ment

1. Expertise in Data Science & AI/ML: 3-8 years experience designing, developing, and deploying scalable AI/ML solutions for Big Data, with proficiency in Python, SQL, TensorFlow, PyTorch, Scikit-learn, and Big Data ML libraries (e.g., Spark MLlib). 2. Cloud Proficiency: Proven experience with cloud-based Big Data services (GCP preferred, AWS/Azure a plus) for AI/ML model deployment and Big Data pipelines.; understanding of data modeling, warehousing, and ETL in Big Data contexts. 3. Analytical & Communication Skills: Ability to extract actionable insights from large datasets, apply statistical methods, and effectively communicate complex findings to both technical and non-technical audiences (visualization skills a plus). 4. Educational Background: Bachelor's or Master's degree in a quantitative field (Computer Science, Data Science, Engineering, Statistics, Mathematics).

5+ years of DS and AI/ML project implementation experience in one of the cloud environments (AWS/Azure/GCP). Advanced / intermediate level certification is a plus Hands-on experience in data handling using SQL and advanced analytics tools such as Python Hands on Experience in analyzing and visualizing data using tools such as Tableau, PowerBI Experience in scoping, development, validation & deployment of explanatory, predictive, and prescriptive analytic solutions Experience in stakeholder management, driving project governance, and linking analytics to business value delivered Knowledge of Deep Learning models and its applications in Natural Language Processing (NLP), AI/GenAI and Computer Vision(CV) in solving business problems Excellent presentation and communication skills Responsibilities: Participate in client workshops to identify high impact problems that could be solved through AI / ML based solutions Translate business problems (sometimes ambiguous) into clear analytic problem statements. Design a plan to develop and deploy advanced analytics solutions in collaboration with SMEs in Data Science & Engineering. Own & drive execution of the plan by demonstrating techno-functional consulting & stakeholder management capabilities. Measure and articulate how analytic results improve clients business & financial metrics. Perform a role that involves a combination of hands-on contribution, customer engagement and team management. Contribute to organization building through training, mentoring, and developing repeatable analytic approaches

Job Reference # 318000BR Job Type Full Time Your role build advanced statistical models to generate meaningful and actionable insights, improve decision making, optimize the business process, and help address business problems. work on generative ai (genai) models to deliver personalized insights and solutions for clients, financial advisors, and prospects. leverage advanced data science techniques to analyze large datasets and extract actionable insights. collaborate with cross-functional teams to integrate predictive models into wealth management decision-making processes. implement and utilize tools like langchain, langgraph, and vector databases to build scalable, efficient ai-driven solutions. Your team You will be part of the Data Science STAAT Team, WMA Technology. Our Data Science team is at the heart of DAFP’s function to manage and support data science efforts across different business areas. Your expertise bachelor’s degree or higher in machine learning, computer science, computational linguistics, mathematics or other relevant technical field from premier institute. strong foundation in probability, statistics, linear algebra, calculus, machine learning and generative ai/llm. expertise in deep learning techniques and applications. strong understanding of generative ai (genai) including math behind the models and its practical implementations. hands-on experience working with large language model apis like azure openai, anthropic etc.. and cloud ecosystems like azure, aws, gcp, databricks proficiency in langchain, langgraph, and working with vector databases for advanced data retrieval and ai workflows. proficiency in python or similar programming languages, with experience in ai/ml libraries and frameworks such as tensorflow, pytorch, or hugging face. knowledge of financial products, including mutual funds, etfs, and client segmentation, is a plus. About Us UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.. We have a presence in all major financial centers in more than 50 countries. How We Hire We may request you to complete one or more assessments during the application process. Learn more Join us At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves. We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us. Disclaimer / Policy Statements UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.

Greetings From Ushta Te !!! Hiring for the role of Data Scientist for top mnc company - Bangalore !!! JOB DESCRIPTION Mandatory Skills - Data Scientist experience, Python, SQL 12+ years of technical experience in data analytics, data science Responsible for developing and translating computer algorithms into prototype code and maintaining, organizing, and identifying trends in large data sets. Proficiency in SQL database design, proficiency in creating process documentation, strong written and verbal communication skills, and the ability to work independently and on teams. Familiarity with the computer coding languages python, java, kafka, hive, or storm may be required in order to oversee real-time business metric aggregation, data warehousing and querying, schema and data management, and related duties. Should have knowledge of algorithms, data structures, and performance optimism and experience with processing and interpreting data sets. Develop technical solutions to improve access to data and data usage. Understand data needs and advise company on technological resources. Aggregate and analyze various data sets to provide actionable insight. Develop reports, dashboards, and tools for business-users. Key Responsibilities: Lead, mentor, and inspire a high-performing team of Data Scientists, Analysts, and AI/ML Engineers, fostering a collaborative, innovative, and impact-driven environment. Design, develop, and maintain robust data models, analytics frameworks, dashboards, and machine learning solutions that drive business strategy and decision-making. Develop and execute experimentation frameworks, including defining clear success metrics, designing A/B tests, and analyzing results to guide strategic product decisions. Partner closely with product, engineering, and leadership to translate complex clickstream behavioral data into strategic insights that inform product roadmaps and investments. Clearly communicate findings, insights, and recommendations to both technical and non-technical stakeholders, building credibility and driving alignment with senior leadership. Influence product direction by developing hypotheses, employing analytical rigor, and creating clear, impactful presentations and narratives around data-driven insights. Continuously identify new opportunities for leveraging data and analytics to enhance product capabilities, operational efficiency, and customer satisfaction. Drive measurement strategies, set ambitious goals, forecast outcomes, and closely monitor key product and business metrics. If interested kindly share your resume on kausar.rangari@ushtate.co.in/WhatsApp - 7304429460 for further details.

Key responsibilities: 1- Development of Predictions Model using ML algorithms in entire customer journey and life cycle (Acquisition, Behaviour, Collections, Propensity, Marketing, Fraud, etc.) 2- Design and Strategy Development to offer best in class Assets Products to customers. 3- Building Prediction Model using big data from digital signals, alternate data and beyond. 4- Partnering, exploring and expanding solutions with different data providers and Companies. 5- Ownership and Responsibility to lead/manage large scale projects/model Development Deployment. Skill Sets key requirements: 1- Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 2- Should have worked in Banking/Fintech domain in Credit/Fraud Risk with strong understanding of Bureau Data in-house banking Data. 3- Advance Coding skills with at least one of these- Python/SQL/Pyspark languages 1- Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. 2- Have worked across end to end in model design, development, validation, documentation deployment. 3- Create great data stories with expertise in robust EDA and statistical inference

Lead Data Scientist role. Work Location- Hyderabad/ Remote Exp-7+ Years Relevant Notice Period- Immediate Lead Data Scientist Relevant Experience: 7+ Years Job Overview: We are seeking a highly skilled and experienced Senior Data Scientist with expertise in Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Deep Learning (DL). Mandatory Skills • 5+ years of work experience in writing code in Python • Experience in using various Python libraries like Pandas, NumPy • Experience in writing good quality code in Python and code refactoring techniques (e.g., IDE’s – PyCharm, Visual Studio Code; Libraries – Pylint, pycodestyle, pydocstyle, Black) • Strong experience on AI assisted coding experience. • AI assisted coding for existing IDE's like vscode. • Experimented multiple AI assisted tools and done research around it. • Deep understanding of data structures, algorithms, and excellent problem-solving skills • Experience in Python, Exploratory Data Analysis (EDA), Feature Engineering, Data Visualisation • Machine Learning libraries like Scikit-learn, XGBoost • Experience in CV, NLP or Time Series. • Experience in building models for ML tasks (Regression, Classification) • Should have Experience into LLM, LLM Fine Tuning, Chatbot, RAG Pipeline Chatbot, LLM Solution, Multi Modal LLM Solution, GPT, Prompt, Prompt Engineering, Tokens, Context Window, Attention Mecanism, Embeddings • Experience of model training and serving on any of the cloud environments (AWS, GCP, Azure) • Experience in distributed training of models on Nvidia GPU’s • Familiarity in Dockerizing the model and create model end points (Rest or gRPC) • Strong working knowledge of source code control tools such as Git, Bitbucket • Prior experience of designing, developing and maintaining Machine Learning solution through its Life Cycle is highly advantageous • Strong drive to learn and master new technologies and techniques • Strong communication and collaboration skills • Good attitude and self-motivated Mandatory Skills- *Strong Python coding, Machine Learning, Software Engineering, Deep Learning, Generative AI, LLM, AI Assisted coding tools.*Responsibilities: Develop machine learning models using Python & NLP techniques. Optimize data pipelines for efficiency & accuracy. Collaborate with cross-functional teams on product development.

Hiring!! #Data Analysis #ETL #Python #R #SAS # Data Science #Visualization #Automation #Python #Pandas #Scikit-learn #Seaborn #NumPy #Plotly, #SQL #SAS We have urgent opening Data Scientist for at Pune Position: Data Scientist Experience: 3 To 4+ Years Job Location: Pune Key Responsibilities: Translate Business Problems: Apply analytical/technical expertise to convert business challenges into actionable solutions. Project Execution & Automation: Lead and automate analytical projects, ensuring outputs meet client needs and expectations. Data Analysis & ETL: Perform ETL tasks and conduct exploratory, confirmatory, and qualitative data analyses, utilizing statistical models/algorithms in Python, R, SAS, etc. Model Development: Leverage data mining and machine learning techniques to build statistical models across various topics. Database Management: Collaborate with technology and other partners to build and maintain the People Analytics and Insights database. Integrate multiple systems and data sources, transform and clean data, and handle incomplete data sources. Stay Current: Keep up-to-date with current trends and research in data science, research, and technology. Knowledge/Experience: Essential- Machine learning, Statistics, Data engineering Desirable- Tableau Skills: (technical skills) Essential- Data Science, Visualization, and Automation with Python. Python packages like Pandas, Scikit-learn, Seaborn, NumPy, Plotly, etc. Advanced SQL (or similar language for querying relational databases). Desirable SAS, R, and other scripting languages. Tableau and other data visualization tools.

Key responsibilities: 1- Development of Predictions Model using ML algorithms in entire customer journey and life cycle (Acquisition, Behaviour, Collections, Propensity, Marketing, Fraud, etc.) 2- Design and Strategy Development to offer best in class Assets Products to customers. 3- Building Prediction Model using big data from digital signals, alternate data and beyond. 4- Partnering, exploring and expanding solutions with different data providers and Companies. 5- Ownership and Responsibility to lead/manage large scale projects/model Development & Deployment. Skill Sets & key requirements: 1- Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 2- Should have worked in Banking/Fintech domain in Credit/Fraud Risk with strong understanding of Bureau Data & in-house banking Data. 3- Advance Coding skills with at least one of these- Python/SQL/Pyspark languages 1- Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. 2- Have worked across end to end in model design, development, validation, documentation & deployment. 3- Create great data stories with expertise in robust EDA and statistical inference

Functional Area: Data Science & AI/ML Employment Type: Full Time, Permanent Role Category: Engineering and Technology Experience: 4-6 years Job Description: As a growing organization in the healthcare domain, we seek a Data Science Application Expert with expertise in JupyterLab, SAS Studio, and R Studio. The ideal candidate will design, develop, and optimize data science workflows, ensuring robust, scalable, and efficient data processing pipelines. You will collaborate with cross-functional teams to support data-driven decision-making, build machine learning models, and implement analytical solutions aligned with industry standards for security and compliance. Key Responsibilities: Data Science & Application Management: Develop, manage, and optimize JupyterLab, SAS Studio, and R Studio environments for data science workflows. Support and troubleshoot Jupyter Notebooks, R scripts, and SAS programs for performance and reliability. Assist data scientists and analysts in configuring and optimizing their analytical workflows. Maintain and enhance computational environments to support data exploration, statistical modeling, and machine learning. Machine Learning & Analytics: Implement and manage machine learning models using Python (TensorFlow, Scikit-learn, PyTorch), R, and SAS. Automate data preprocessing, feature engineering, and model training workflows. Work with AWS SageMaker, EMR, and other cloud-based ML solutions for scalable model deployment. Monitor and optimize model performance, ensuring reproducibility and efficiency. Data Engineering & Integration: Design and optimize ETL (Extract, Transform, Load) pipelines to handle large-scale healthcare datasets. Integrate JupyterLab, SAS Studio, and R Studio with cloud-based storage (AWS S3, Redshift, Snowflake). Manage structured and unstructured data, ensuring data integrity and compliance with healthcare standards (HIPAA, GDPR). Optimize query performance for large datasets using SQL, Pandas, and SAS data steps. Infrastructure as Code (IaC) & Cloud Deployment: Deploy and manage JupyterHub, RStudio Server, and SAS Viya on AWS, Azure, or on-premise environments. Automate environment provisioning using Terraform, AWS CDK, or CloudFormation. Ensure efficient resource allocation and auto-scaling of cloud-based data science environments. Security & Compliance: Implement role-based access controls (RBAC) for secure access to data science applications. Ensure data security and encryption using AWS KMS, Secrets Manager, and IAM policies. Adhere to HIPAA, GDPR, and other regulatory compliance requirements for healthcare data. Collaboration & Stakeholder Management: Work closely with data scientists, engineers, and business analysts to understand analytical requirements. Participate in Agile ceremonies, including sprint planning, standups, and retrospectives. Provide technical guidance and mentorship to junior team members. Job Requirements: Education: Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or related fields. Experience: 4-6 years of experience in data science application management, focusing on JupyterLab, SAS Studio, and R Studio. Technical Skills: Core Data Science Platforms: Expertise in JupyterLab, SAS Studio, and R Studio for data science workflows. Strong understanding of SAS programming (Base SAS, Advanced SAS, SAS Viya), R, and Python. Experience in managing and scaling JupyterHub, RStudio Server, and SAS Viya in cloud or on-prem environments. Programming & Frameworks: Proficiency in Python, R, SAS, SQL, and shell scripting. Experience with Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch for machine learning. Cloud & Infrastructure: Experience in deploying and managing JupyterLab, R Studio, and SAS Viya on AWS, Azure, or GCP. Hands-on experience with AWS SageMaker, Glue, Lambda, Step Functions, and EMR. Proficiency in Terraform, AWS CDK, or CloudFormation for infrastructure automation. Database Management & ETL: Experience with SQL, NoSQL databases (PostgreSQL, DynamoDB, Snowflake, Redshift, MongoDB). Hands-on experience in ETL pipelines and data wrangling using SAS, Python, and SQL. DevOps & CI/CD Tools: Familiarity with CI/CD pipelines using Jenkins, GitLab, or AWS native tools. Experience with Docker, Kubernetes, and containerized deployments. Additional Skills: Event-Driven Architecture: Experience in real-time data processing using Kafka, Kinesis, or SNS/SQS. Security Best Practices: Implementation of secure access controls and data encryption. Cost Optimization: Understanding cloud pricing models and optimizing compute resources. Agile Development: Hands-on experience with Agile methodologies like Scrum and Kanban. Key Attributes: Problem-Solving Mindset: Ability to troubleshoot complex data science workflows and propose scalable solutions. Detail-Oriented: Strong focus on data integrity, performance optimization, and reproducibility. Collaborative: Team player who thrives in a dynamic, cross-functional environment. User-Centric Approach: Commitment to delivering scalable and efficient data science applications.

Who are we? Amdocs helps those who build the future to make it amazing. With our market-leading portfolio of software products and services, we unlock our customers’ innovative potential, empowering them to provide next-generation communication and media experiences for both the individual end user and enterprise customers. Our employees around the globe are here to accelerate service providers’ migration to the cloud, enable them to differentiate in the 5G era, and digitalize and automate their operations. Listed on the NASDAQ Global Select Market, Amdocs had revenue of $5.00 billion in fiscal 2024. For more information, visit www.amdocs.com 📍 Location: Pune 📈 Experience: 6 to 10 Years 🔍 Must-Have Skills: 💡 Generative AI 🐍 Python 📚 RAG (Retrieval-Augmented Generation) 🧠 LLM / NLP 📊 EDA (Exploratory Data Analysis) ☁️ Cloud Platforms (AWS, Azure, GCP) 🔄 Transformers 🧾 Explainable AI 🌌 Deep Learning Desired Background At least 4+ years of relevant experience and track record in Data Science: Machine Learning, Deep Learning and Statistical Data Analysis. MSc or PhD degree in CS or Mathematics, Bioinformatics, Statistics, Engineering, Physics or similar discipline. Strong hands-on experience in Python with the focus being on statistical algorithms development and GenAI practices. Experience with data science libraries such as: sklearn, pandas, numpy, pytorch/tensorflow Experience with GenAI concepts (RAG, LLM) and Agentical development: from conversional to autonomous agents Team player, able to work in collaboration with subject matter experts, with ability to clearly present and communicate findings. Proven ability to build and deliver data solutions in a short time frame. Experience with Azure, docker, and development methodologies - an advantage Proven experiences in productions and DevOPS practices nd find the right answers. Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)

About Company Our client is a trusted global innovator of IT and business services. We help clients transform through consulting, industry solutions, business process services, digital & IT modernization and managed services. Our client enables them, as well as society, to move confidently into the digital future. We are committed to our clients’ long-term success and combine global reach with local client attention to serve them in over 50 countries around the globe. Job Title: Data Scientist Location: PAN INDIA Experience: 5+ yrs Job Type : Contract to hire Notice Period:- Immediate joiner Mandatory Skills · Hands-on experience with Data Scientist. • Strong experience with Python, especially LangChain, FastAPI, and data science libraries (pandas, scikit-learn, etc.). • Proficiency in .NET (C#) for backend development. • Experience with ReactJS for building interactive UIs. • Hands-on experience with Azure Cloud Services (e.g., Azure ML, Azure Functions, Azure DevOps). • Solid understanding of RESTful APIs, microservices, and CI/CD pipelines. • Strong problem-solving and communication skills. Responsibilities Writing clean, high-quality, high-performance, maintainable code Develop and support software including applications, database integration, interfaces, and new functionality enhancements Coordinate cross-functionally to insure project meets business objectives and compliance standards Support test and deployment of new products and features Participate in code reviews. Qualifications Bachelor's degree in Computer Science (or related field)

Data scientists, BULK HIRE - TOP RATED MNC !! Remote Location PERMANENT HIRE!! 100% remote applicable 100% REMOTE MUST: 6 to 9 years YEARS EXPERIENCE data scientist MAX 28L LPA IMMEDIATE JOINERS ONLY YOHI@AXYCUBE.IN Phone : 9108687980 Required Candidate profile MUST: 6+ yrs as data scientist Strong exp in python, R Language, power bi, AI is a plus Background verification Mandatory!! PF Mandatory!!

Blend at a glance: Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com Role Highlights Experience in owning multiple, projects end-to-end and manage the process and team of analysts, escalating blockers when required. Contributing to proposal submissions and business development initiatives under the direction of the Leadership team Designing data science solutions end to end with appropriate time estimations and resourcing Experience in preparing and presenting compelling analysis findings to clients and senior stakeholders Proven experience as a Data Scientist, with a strong portfolio of data science projects; ability to demonstrate how to perform data cleaning, QC and exploratory analysis to discover key insights Commercial experience using predictive modelling (supervised and unsupervised) and proficiency in programming languages like Python and R or similar; solid understanding of database technologies and SQL. Strong knowledge and experience using predictive modelling (supervised and unsupervised) machine learning, data mining, and statistical modelling in a commercial setting. Excellent communication and collaboration skills; ability to work effectively in a fast-paced, dynamic environment What You'll Tackle Each Day: Experience more complex applications of ML such as NLP, computer vision or optimization is advantageous Ability to work and process large amounts of data/experience working with cloud environments Experience and working knowledge of relevant sectors (e.g. manufacturing, energy, public sector, automotive and utilities industries) is desired but not essential Experience with proposal submissions and business development initiatives under the direction of the Leadership team Experience in designing data science solutions from concept through to evaluation and monitoring models in production. Experience in managing teams or supporting team development Prompt engineering knowledge, with familiarity in different strategies. Exposure to various prompt engineering techniques in different scenarios

Warm Greetings from SP Staffing!! Role :Data Scientist Experience Required :5 to 10 yrs Work Location :Hyderabad/Bangalore/Chennai Required Skills, Python GCP AI Platform, BigQuery ML, Cloud AutoML, and Vertex AI. Interested candidates can send resumes to nandhini.spstaffing@gmail.com

Job Description: Data Science Trainer We're seeking a committed Technical Data Science Trainer to join us in delivering the next generation of AI technical training. This is not just a job - it's an opportunity to play a key role in empowering the next generation of AI/ML professionals, influencing their careers and contributing to the growing AI ecosystem. The role also helps get recognized as a leader in the AI training space while expanding your personal and professional brand This role is ideal for someone passionate about both teaching and technology, capable of helping learners become skilled professionals in AI and related fields. Skills: AI, Machine Learning, Python, Numpy, Pandas, R Programming, Statistics, Computer Vision, Natural Language Processing, LLMs, Tableau, Power BI Essential Qualifications: B.Tech., M.Tech., MCA or equivalent experience 2 - 6 years' of experience Expertise Required: Technical Expertise: Proficient in AI, ML, Deep Learning, LLMs, Computer Vision, and Python. Tools and Frameworks: Hands-on experience with TensorFlow, PyTorch, Scikit-learn, OpenCV, Hugging Face, NumPy, Pandas, Matplotlib, Seaborn, and R Programming. Communication: Strong ability to explain technical concepts in simple terms and provide clear instructions. Problem-Solving: Ability to debug code, identify errors, and explain solutions effectively. Key Responsibilities: Training Delivery: Design and deliver training programs and workshops for individuals and teams on AI, ML, Deep Learning, LLMs, Computer Vision, and Python programming. Adapt training methods to suit varying levels of expertise, from beginner to advanced learners. Curriculum Development: Develop structured, up-to-date course materials, including slide decks, coding exercises, case studies, and hands-on projects. Incorporate real-world applications and industry best practices into the curriculum for a practical learning experience. Regularly update course content to align with advancements in technology and industry trends. Hands-On Learning: Guide learners through practical exercises, coding labs, and project-based learning to ensure hands-on experience with tools, frameworks, and algorithms. Provide training on key frameworks and tools such as TensorFlow, PyTorch, OpenCV, Hugging Face, Scikit-learn, and Pandas. Mentorship and Support: Offer one-on-one mentorship to learners, addressing individual doubts and helping them troubleshoot complex problems. Monitor learners progress, provide constructive feedback, and suggest improvement strategies. Assessment and Evaluation: Develop and administer assessments to evaluate learners understanding and skill levels. Analyze test results and provide detailed performance feedback. Domain-Specific Expertise: Explain and demonstrate key AI/ML concepts, such as supervised and unsupervised learning, reinforcement learning, natural language processing (NLP), and computer vision techniques. Guide learners in working with large language models (LLMs) like GPT and BERT, focusing on fine-tuning and deployment. Train learners on deep learning topics, including neural networks, CNNs, RNNs, and transformers. Stay Updated on Trends: Continuously research advancements in AI, ML, Deep Learning, and Python, incorporating cutting-edge techniques into the training materials. Maintain familiarity with emerging technologies like generative AI and explainable AI. Soft Skills and Collaboration: Communicate complex concepts clearly to learners from diverse technical and non-technical backgrounds. Foster an engaging and interactive learning environment, encouraging collaboration among participants. What We Offer Be part of cutting-edge AI projects and work on real-world applications of Machine Learning, Deep Learning, Large Language Models (LLMs), and Computer Vision. Opportunity to stay ahead in the AI revolution by working with the latest tools and technologies like TensorFlow, PyTorch, OpenCV, and Hugging Face. Access to continuous learning resources and mentorship programs to sharpen your expertise and stay updated with emerging trends. Build leadership and communication skills by mentoring learners and engaging with professionals across various industries. Connect with industry experts, aspiring AI professionals, and innovators, giving you a strong professional network. Grow with the company! Be part of our exciting journey as we expand and make an impact in the AI training industry. Enjoy early access to leadership opportunities and the chance to shape the companys future direction. Our Culture & Values Startup Culture - Fast-Paced, Collaborative, and Innovative A place for growth. We believe in nurturing talent and giving everyone the chance to grow professionally and personally We work as a team, supporting and learning from each other. Every voice matters here We trust our team to take ownership of their work and make meaningful contributions. Dynamic startup energy Collaborative leadership Continuous learning

Location : Bangalore (Hybrid) Experience : 35 Years Work Mode : Hybrid (2–3 days onsite/week) Apply To : gopi.c@acesoftlabs.com | 9701923036 Job Description We are looking for a skilled and analytical Data Scientist to join our team. The ideal candidate should have hands-on experience in building and deploying machine learning models, working with large datasets, and generating actionable insights that drive business value. Key Responsibilities Develop and deploy machine learning and statistical models Analyze large datasets to uncover trends, patterns, and insights Build dashboards and visualizations to communicate findings Work closely with engineering, product, and business teams to understand requirements Implement ETL pipelines for data preprocessing and feature engineering Continuously evaluate and improve model performance Required Skills 3–5 years of experience as a Data Scientist Strong proficiency in Python (Pandas, NumPy, scikit-learn, TensorFlow/PyTorch) Experience in SQL and working with relational or NoSQL databases Solid understanding of statistics , ML algorithms , and data structures Familiarity with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn) Experience deploying models into production environments Nice to Have Experience with Big Data technologies (Spark, Hadoop) Familiarity with Cloud platforms (AWS Sagemaker, GCP Vertex AI, Azure ML) Knowledge of MLOps tools (MLflow, Airflow, Docker) Experience with NLP or time-series modelin

About Analytics Vidhya Analytics Vidhya is on a mission to build next- generation Data professionals across the globe. We aim to build the best community knowledge platform to learn, teach, apply and evaluate their data skills (data science, data engineering, data analysis, machine learning, Artificial Intelligence and more). The AVians (our community members) seamlessly learn through our high quality courses, apply these skills to solve real life industry problems and find career defining jobs through Analytics Vidhya. The best part – these AVians contribute back to the community and move us forward in achieving our Vision. Behind this movement is a team with a diverse background united by our passion to create a generation of Data Professionals who lead the world in future. What should you expect? ● A team of best data scientists and thought leaders from the industry. ● Disciplined entrepreneurship within the team. Each person is the owner of his/her work – you set the milestones, the pace, and the achievements. ● High standards, deep passion for data science, and a commitment to find out ways to make things work. Who can fill in the shoes? This role is best suited for: ● Person with 3+ years of experience in data science. The person should have a strong understanding of these fields (ML/ DL/ Gen AI). ● A person who loves problem-solving through data. He should be able to do things hands-on by himself or guide a team of data scientists to solve a problem. ● A person with experience in developing RAG and AI Agents. ● Strong problem-solving and communication skills (English). What is the role? Here are a few things you can expect: ● Contribute to internal AI and Data Science projects aimed at driving innovation and leveraging cutting-edge technologies to solve complex challenges. ● Design and implement data science and AI projects for Analytics Vidhya courses, focusing on predictive analytics, machine learning models, and AI-driven solutions to solve real-world business problems. ● Defining and leading our strategy in making data science easy and accessible to all. ● Developing engaging and informative content, including blogs for our data science community. Where is the role based? Work from office - Gurgaon

Job Title: Data Scientist Location: Gurugram, Haryana Job Type: Full-Time ( WFO ) Experience Level: 2 to 4 Years Job Summary: We are seeking a highly motivated and detail-oriented Data Science Engineer with 24 years of experience to join our team in Gurugram. The ideal candidate will have a strong background in data engineering and data science, with hands-on experience building data pipelines and supporting analytics and model deployment. Experience working with Microsoft Azure cloud services is highly desirable. Key Responsibilities: Design and maintain scalable data pipelines and workflows. Collaborate with data scientists to prepare and manage datasets for analysis and modeling. Support deployment and integration of machine learning models. Work with cloud platforms (preferably Azure) to optimize data workflows and storage. Ensure data quality, security, and compliance across systems. Document all technical solutions and maintain up-to-date documentation. Required Skills and Qualifications: 2 to 4 years of hands-on experience in Data Science roles. Proficiency in Python and SQL. Experience with data libraries and frameworks like Pandas, NumPy, or PySpark. Familiarity with ML libraries such as scikit-learn or TensorFlow. Experience with version control tools like Git. Preferred Qualifications: Working experience with Microsoft Azure services, including: Azure Data Factory, Azure Machine Learning, Azure Synapse Analytics, Azure Blob Storage or Data Lake Exposure to Agile methodologies and collaborative development tools. What We Offer: Opportunity to work on meaningful, data-driven projects. Competitive compensation and benefits. Supportive and collaborative work environment. Learning and growth opportunities in a fast-paced setting.

UniAthena is an ed-tech, offering free-learning upskilling courses and Self-Paced Academic Programs in collaboration with European Universities and Awarding Bodies. Over 2.5 Million learners from across 150 countries are pursuing their upskilling journey on the 100% Online, self-paced and 100% automated learning platform. Job Requirement : 3-5 Years of experience in Data Science Strong expertise in statistical modeling, machine learning, deep learning, data warehousing, ETL, and reporting tools. Bachelors/Masters in Data Science, Statistics, Computer Science, Business Intelligence, Experience with relevant programming languages and tools such as Python, R, SQL, Spark, Tableau, Power BI. Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn Ability to think strategically and translate data insights into actionable business recommendations. Excellent problem-solving and analytical skills Adability and openesss towards changing environment and nature of work This is a startup environment with evolving systems and procedures, the ideal candidate will be comfortable working in a fast-paced, dynamic environment and will have a strong desire to make a significant impact on the business. Job Roles & Responsibilities: Conduct in-depth analysis of large-scale datasets to uncover insights and trends. Build and deploy predictive and prescriptive machine learning models for various applications. Design and execute A/B tests to evaluate the effectiveness of different strategies. Collaborate with product managers, engineers, and other stakeholders to drive data-driven decision-making. Stay up-to-date with the latest advancements in data science and machine learning.

Job Summary We are looking for a Data Scientist to analyze and interpret complex data sets, uncover patterns, and derive actionable insights. The role involves developing data models and algorithms tailored to project requirements, implementing data validation strategies to ensure data quality, and collaborating with AI/ML engineers to integrate models into the conversion engine system. You will also be responsible for presenting findings and strategic recommendations to stakeholders and leadership. A willingness to experiment and learn from failure is essential to thrive in this fast-paced, innovative environment. Roles & Responsibilities Develop AI-Driven Data Conversion Applications: Utilize AI technologies to build intelligent and scalable data conversion tools. Implement AI-Based Data Mapping :Develop AI algorithms to accurately map data from source to target systems. Automate Code Generation :Use AI models to generate transformation code automatically, improving efficiency. Ensure Data Validation :Apply AI-driven validation techniques to maintain data integrity and quality throughout the pipeline. Facilitate Code Conversion :Implement AI solutions for seamless conversion of code between platforms or formats. Collaborate with Stakeholders :Work closely with data engineers, developers, AI solution engineers, and business analysts to integrate the data conversion system. Monitor & Troubleshoot Applications :Continuously monitor the application and resolve issues to ensure optimal performance. Maintain Documentation :Document methodologies, workflows, and development processes for transparency and continuity. Stay Updated with Emerging Technologies :Keep abreast of the latest trends in AI, data science, and data conversion techniques to enhance the solution stack. Must-Have Skills Bachelor’s or Master’s in: Data Science / Computer Science / Artificial Intelligence Or a closely related field 8+ years of Data Scientist build AI-driven data conversion tools Programming Languages [Python; SQL; Java (optional)] AI/ML Frameworks (TensorFlow; PyTorch; Scikit-learn) AI-Driven Applications (Code Generation; Data Mapping; Data Validation; Code Conversion using AI) Databases (SQL Server; MongoDB) ETL / Data Wrangling (ETL Pipelines; Data Wrangling; Master Data Management) Data Science Concepts (Model Building; Feature Engineering; Data Integrity; AI-Augmented Reconciliation) Bonus/Preferred Cloud & Big Data Tools DevOps Tools Certifications / Domain Knowledge Let me know if you have any questions or require further clarification.

Experience using Python, SciKit, SQL, Snowflake, hit-level Adobe Analytics data, product usage data, Jupyter Notebooks, Amazon SageMaker, Airflow, Github. Proficiency with data mining, mathematics, and statistical analysis techniques. Required Candidate profile 5+ yrs experience as Data Scientist Strong knowledge with Deep Learning & Machine Learning,LLM knowledge & experience with SQL & python is must Must be from Ahmadabad or open to relocate to Ahmadabad

Full time with top German MNC for location Bangalore SKILLS SET: Statistical & Mathematical Concepts Descriptive statistics, probability distributions, hypothesis testing, p-values, confidence intervals, correlation, A/B testing Data Handling & Analysis Data cleaning, missing values, outlier detection, feature engineering, feature selection, EDA, dimensionality reduction, PCA, t-SNE, time series Machine Learning Techniques Supervised: linear regression, logistic regression, decision trees, random forests, SVM, k-NN, gradient boosting, XGBoost Unsupervised: k-means, hierarchical clustering, DBSCAN, PCA, anomaly detection Model Evaluation & Optimization Accuracy, precision, recall, F1-score, ROC-AUC, RMSE, MAE, R, cross-validation, grid search, random search, bias-variance trade-off Programming & Tools Python, NumPy, Pandas, scikit-learn, matplotlib, seaborn, SQL, Jupyter Notebooks, Google Colab SQL Skills Select statements, joins (inner, outer, left, right), group by, having, subqueries, filtering, sorting, aggregations (SUM, AVG, COUNT), window functions (ROW_NUMBER, RANK, LAG, etc.), CTEs etc.