1487 Data Scientist Jobs - Page 3

We are seeking a skilled and passionate Python Machine Learning Developer to join our team. In this role, you will be responsible for designing, developing, and implementing machine learning models and data pipelines using Python. You will work closely with our data science and product teams to turn data into actionable insights.

Role & responsibilities 12+ years of experience in Python, Statistical Analysis, Machine Learning, Deep Learning Experience End-to-end architecture design for machine learning solutions Deployment of AI models into scalable services Staying at the forefront of generative AI advancements Optimizing models for performance and scalability Collaborating with cross-functional teams for successful project delivery Degree in Computer Science, Information Technology, Electrical Engineering, or related field Experience or understanding of machine learning, deep learning, generative AIand MLOps Knowledge of deep learning techniques and frameworks (TensorFlow, PyTorch) Familiarity with cloud platforms, preferably Microsoft Azure A certification in AI or machine learning is advantageous Strong analytical and problem-solving skills Excellent communication and team collaboration abilities Only female candidates can apply. Preferred candidate profile

Data Scientist (8+ Years Experience) Job Title: Data Scientist Employment Type: Full-Time Employee (FTE) Experience Required: 8+ Years Location: India [Gurugram] Work Mode: Onsite– Work from Office Role Overview: We are seeking a highly experienced Data Scientist with 8+ years of expertise to join our dynamic team. You will be responsible for designing and developing AI-powered solutions for data conversion, code generation, and data validation systems. This is a high-impact, full-time onsite role requiring deep technical knowledge, strategic problem-solving skills, and a collaborative mindset. Key Responsibilities: Develop and deploy AI-driven data conversion and mapping systems. Automate code generation using machine learning models. Validate and ensure high-quality data through AI-driven checks. Collaborate with developers, AI/ML engineers, and analysts to build end-to-end solutions. Troubleshoot issues, improve performance, and maintain system accuracy. Document all methodologies and processes clearly. Stay current with the latest developments in AI, ML, and data transformation. Required Skills & Qualifications: 8+ years of hands-on experience in data science or related fields. Bachelor’s/Master’s in Computer Science, Data Science, Artificial Intelligence, or equivalent. Proficient in Python , SQL , and scripting for data transformation. Experienced with AI/ML frameworks like TensorFlow, PyTorch. Strong understanding of data mapping , code conversion , and data validation techniques. Familiar with databases like SQL Server , MongoDB , etc. Excellent teamwork, communication, and documentation skills. Adaptable in a fast-paced, agile environment with a “fail fast, learn fast” mindset. Preferred Qualifications: Experience in the Financial Services sector or other regulated industries. Certifications in AI/ML or Data Science. Practical knowledge of ETL , Master Data Management , Data Wrangling . Familiar with DevOps tools like Jira, Confluence, BitBucket. Exposure to Azure Cognitive Services , Azure ML , Databricks , and Synapse Analytics . Experience in delivering AI-based data conversion or migration projects.

Your tasks As a team member of the Group Sector Central Function Technology of ContiTech, you will be globally responsible to drive success of applied data science and effective usage in all areas of the organization. Design and implement innovative data-drive solutions to solve complex business problems, using cutting-edge techniques to build up customer centric platforms to reduce complexity, ensure standards, maximize cost savings as well as developing innovative material-driven solutions for a carbon-neutral and 100% circular product portfolio. You Consult on effectively applying Data Science methodology, technology, and good practices, complementing AI/DS platform owners, AI/DS sector owners, AI/DS project owners. Collaborates with stakeholders to identify data and AI opportunities, translates business needs into actionable data requirements and success metrics, and drives prioritization of use cases based on feasibility and impact . Develop best practices, guidelines, and standards for data science in collaboration with AI/DS stakeholders to build solutions. Maintain a deep understanding of the business and industry to identify emerging trends and research to actively drive technology opportunities. Work closely with cross-functional teams to identify opportunities for improving business performance and delivering impactful results. Develop and implement models and algorithms using machine learning, deep learning, natural language processing, and statistical analysis. Lead the development and implementation of data pipelines and infrastructure to support data analysis and modeling. Establish and maintain partnerships with internal and external partners. Optimize data-driven decision-making processes to enhance operational efficiency and effectiveness. Ensure data quality and integrity through rigorous validation and testing procedures. Your Qualifications University degree in Computer Science, Data Science, Mathematics, Statistics, or related fields. Extensive knowledge of data science techniques including descriptive and inferential statistics, big data and data mining technologies, and machine learning. Extensive experience in Data Science, AI, and Machine Learning, with a solid understanding of algorithms, predictive models, deep learning, and natural language processing (NLP). Strong technical proficiency in programming languages and tools (Python, R, TensorFlow, PyTorch, etc.) More than 5 years of dedicated experience in various data science-related roles in the industry. Excellent communication and leadership skills. Critical thinking, organizational skills, and a problem-solving mindset. Experience in a manufacturing industry is a plus. Inspire your stakeholders and contact partners with effective communication and high intercultural sensitivity. Collaborative, team player attitude and convinced that networking and knowledge sharing are key drivers for success. Up-to-date on the latest trends in the industry concerning classical data science, data mining, advanced analytics, etc. Proven ability to translate complex data into actionable insights for non-technical stakeholders. Demonstrated ability to work in a fast-paced, dynamic environment and adapt to changing priorities.

Role & responsibilities Machine Learning, Data Science, Model Customization [4+ Years] Exp with performing above on cloud services e.g AWS SageMaker and other tools AI/ Gen AI skills: [1 or 2 years] MCP, RAG pipelines, A2A, Agentic / AI Agents Framework Auto Gen, Lang graph, Lang chain, codeless workflow builders etc. Preferred candidate profile Build working POC and prototypes rapidly. Build / integrate AI driven solutions to solve the identified opportunities, challenges. Lead cross functional teams in identifying and prioritizing key business areas in which AI solutions can result benefits. Proposals to executives and business leaders on broad range of technology, strategy and standard, governance for AI. Work on functional design, process design (flow mapping), prototyping, testing, defining support model in collaboration with Engineering and business leaders. Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation. Relevant IT Experience: - 10+ years of relevant IT experience in given technology

10-15 years of experience in DS and GenAI with excellent communication Can work as Techno-Functional where 60% Team Management (Team Handling , Client Handling, Team performance /appraisal etc) , 40 % hands-on (IC) and should be good in basic DS / Python / SQL Willing to support on multiple POCs / experimentation apart from regular work

We are seeking a highly skilled and innovative Data Scientist with a strong focus on Generative AI, NLP, and Large Language Models (LLMs). The ideal candidate will design, develop, and deploy end-to-end data science solutions that harness the power of advanced ML, deep learning, and Gen AI technologies to drive real-world impact. Key Responsibilities: Design and implement scalable data science solutions using Generative AI, NLP, and ML techniques. Develop, fine-tune, and evaluate Large Language Models (LLMs) such as GPT, BERT, and similar architectures. Analyze structured and unstructured data to generate actionable insights for business problems. Collaborate cross-functionally with engineering, product, and business teams to integrate AI models into production systems. Conduct cutting-edge research in Gen AI and deep learning; evaluate and apply recent advancements. Build and maintain robust pipelines for model training, evaluation, monitoring, and deployment. Communicate complex technical findings clearly to technical and non-technical stakeholders. Required Skills & Qualifications: Strong hands-on experience with Generative AI, LLMs (e.g., OpenAI, Hugging Face Transformers, etc.). Proven expertise in core NLP tasks: text classification, summarization, named entity recognition, sentiment analysis, etc. Proficient in Python and related libraries: NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch. Experience developing, validating, and deploying ML models in production environments. Familiarity with vector databases (e.g., FAISS, Pinecone), embeddings, and semantic search. Exposure to cloud platforms like AWS, Azure, or GCP, and MLOps tools/workflows (CI/CD, model monitoring, etc.). Preferred Qualifications: Experience in prompt engineering, Retrieval-Augmented Generation (RAG), or fine-tuning/customizing LLMs. Contributions to AI research papers, open-source projects, or participation in ML competitions (e.g., Kaggle) is a plus. Knowledge of responsible AI practices, model interpretability, and bias mitigation techniques.

AI Engineer JD (2+ years) Job Description Were searching for a hands-on AI engineer who can take modern LLMs from prototype to production, orchestrating multi-agent workflows using libraries such as LlamaIndex Workflows, LangGraph , and structured function calling . You should bring a solid foundation in classical ML (e.g., XGBoost) and deep learning with transformer-based models especially LLaMA and Qwen-family models along with experience in Retrieval-Augmented Generation (RAG) pipelines. A track record of building reliable, scalable systems is essential. Responsibilities: Design, build, and deploy ML/DL models for vision (YOLO), tabular (XGBoost),, and NLP / GenAI use-cases (function calling, RAG). Work on fine-tuning and deploying LLMs using platforms like Hugging Face and PyTorch. Engineer agent-based LLM solutions Compose multi-step, tool-calling workflows with LlamaIndex or LangGraph. Implement structured function calling and dynamic tool selection for Retrieval-Augmented Generation (RAG) pipelines. Orchestrate agent state, memory, and conversation context to solve complex user tasks. Fine-tune and serve LLMs on Hugging Face / PyTorch, including efficient-tuning methods (LoRA, QLoRA, PEFT). Operate on cloud (Azure preferred, AWS acceptable) set up training jobs, GPU/ACI deployments, CI/CD, observability, and cost governance. Collaborate cross-functionally with product, data, and frontend teams to turn fuzzy ideas into measurable impact. Build FastAPI micro-services for low-latency inference, streaming responses, and secure integration with downstream systems. Requirements: Proficiency in Python, with exposure to FastAPI and/or Java. Solid understanding and practical experience in Machine Learning with models like XGBoost. Experience with Deep Learning using YOLO, OCR frameworks, and PyTorch. NLP / GenAI: LLM fine-tuning, prompt engineering, RAG design. Hugging Face Transformers, PEFT, vector databases. Experience implementing agent frameworks (LlamaIndex, LangGraph, LangChain Agents) and function-calling patterns. MLOps: Docker, CI/CD, experiment tracking, model versioning, monitoring, and rollback strategies. Cloud: Azure ML / Azure Functions / AKS (preferred) or AWS SageMaker / Lambda basics. Bonus: experience with Triton / vLLM, streaming websockets, or GPU cost-optimization. Benefits of Working with Us: Best of Both Worlds: Enjoy the enthusiasm and learning curve of a startup combined with the deliveries and performance of an enterprise service provider. Flexible Working Hours: We offer a delivery-oriented approach with flexible working hours to help you maintain a healthy work-life balance. Limitless Growth Opportunities: The sky is not the limit when it comes to learning, growth, and sharing ideas. We encourage continuous learning and personal development. Flat Organizational Structure: We don't follow the typical corporate hierarchy ladder, fostering an open and collaborative work environment where everyone's voice is heard. As part of our dedication to an inclusive and diverse workforce, TechChefz Digital is committed to Equal Employment Opportunity without regard to race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. If you need assistance, you may contact us at joinus@techchefz.com

BugRaid AI is reimagining how engineering teams handle incidents — with a powerful blend of AI agents, traditional machine learning, and modern observability pipelines. We’re seeking an AI Engineer who excels at the intersection of infrastructure and intelligence — someone who enjoys solving complex technical problems with practical models that perform well in real-world scenarios. Location: Remote Preference: Hyderabad / Bangalore candidates only Type: Full-time | ESOPs + Salary Experience: 2+ years Immediate joiners only preferred Responsibilities Impactful Machine Learning: Apply and scale models like Random Forest, DBSCAN, KNN, and GNNs to understand noisy logs, alerts, and metrics in real-time and batch. Agent Intelligence : Develop lightweight reasoning agents that assist SREs in debugging, resolving, and predicting incidents. AI Agent Architecture: Design LLM-powered agents for logs, metrics, traces, and incident resolution. Prompt Engineering & Tooling: Create advanced function-calling and reasoning workflows for multi-step execution. Zero Data Retention Architecture: All data is read-only, secure, and compliant (PII, GDPR, PCI DSS) — your work resides within ephemeral AWS-native environments. Infrastructure-Aware ML: Collaborate closely with our AWS stack (Lambda, ECS, Kinesis, S3, Bedrock) to ensure scalable, secure models that serve with low latency. Feedback Loops & Fine-Tuning: Incorporate real-time signal feedback and model evaluation for precise incident response. Collaborative Development: Partner with backend and infrastructure engineers to deploy models as microservices and REST endpoints seamlessly. Data Analysis: Evaluate quality, clean, and structure raw data for downstream processing. Design scalable and accurate prediction algorithms. Collaborate with engineering teams to transition analytical prototypes into production-ready systems. Generate actionable insights to improve business operations. Qualifications Bachelor's degree or equivalent experience in a quantitative field (Computer Science, Engineering, etc.) 2+ years of practical ML experience Experience with Random Forest, DBSCAN, KNN, GNN (Graph Neural Networks) Proficiency in Python and ML libraries such as scikit-learn, XGBoost, PyTorch. Experience with RLHF, LangChain, or open-source agentic libraries Comfort with AWS services (Lambda, ECS, Kinesis, S3, SageMaker, Bedrock) Experience in log analysis, anomaly detection, or observability systems is a big plus Strong debugging skills and systems-level thinking At least 1-2 years in quantitative analytics or data modeling Deep understanding of predictive modeling, machine learning, clustering, classification techniques, and algorithms Proficiency in a programming language (Python, JavaScript) Knowledge of Big Data frameworks and visualization tools (preferred) Why Join BugRaid.AI We’re building a groundbreaking AI incident response platform. Remote-first team, open feedback loops, and high trust culture. Shareholding opportunities with meaningful equity and ownership of key AI pipeline components. Backed by real customers in our beta stage, we are addressing practical operational challenges. Ready to help redefine how AI manages software failures? 📩 Send your resume or LinkedIn profile to manoj.bhamidipati@bugraid.ai or DM me.

Role : Data scientist Exp : 5 - 8 Years Location : Pune,Chennai Notice period:30 Days Key Skill /Skill Specialization Data Scientist Mandatory Skills Data Scientist with expertise in Classic ML, Computer Vision, Deep Learning, and Large Language Models (LLMs), Python Desired Skills Exposure to GIT, GitHub actions, NPM, Yarn, Knowledge of Cloud will be a plus Knowledge of data pipelines Exposure to Postgres Prior exp of Oil & Gas Exp of working in Agile project" Job Description : "The ideal candidate will be passionate about solving complex problems and driving innovation through advanced AI techniques. 1. Develop and Deploy ML Models: - Implement and deploy machine learning models, including regression, classification, and clustering algorithms. - Design and train models to provide actionable insights from large datasets. 2. Integrate Advanced Technologies: - Enhance product offerings by integrating Computer Vision techniques such as image processing, convolutional neural networks (CNNs), and object detection. - Apply Deep Learning methodologies, including neural networks, recurrent neural networks (RNNs), and generative adversarial networks (GANs). - Experiment with Large Language Models (LLMs) for natural language processing tasks, utilizing transformer-based models like BERT, GPT, and T5. 3. Collaborate with Cross-Functional Teams: - Work closely with product managers, engineers, and domain experts to translate business requirements into technical solutions. - Participate in brainstorming sessions and contribute to the ideation of new AI-driven features. 4. Mentorship and Knowledge Sharing: - Guide and mentor junior data scientists, fostering a culture of continuous learning and knowledge exchange. Need to work in challenging agile model. Should have very good communication skills Experience of working in Agile based projects" Interested candidates can share their updated CV to pravallika@wrootsglobal.in

At (TekLink HGS Digital), our vision is to be the globally preferred digital transformation partner for our clients, creating value in their business through rigorous innovation at scale. We are an expert team of 500+ leading strategic thinkers, digital marketing and creative masters, data analysts, software engineers, and process optimization specialists with an elemental desire to create transformative digital solutions. Job Title: Data Scientist Location: Hyderabad, India Duration: Full time Data scientist would support our internal teams and clients in driving strategic decisions, applying advanced statistical & predictive analytics and machine learning concepts to solve business problems in BFSI and CPG domains. You will also phrase requirements document, contribute towards project plan, carry out data research and collection, study attributes and features, test for parameters, resolve data issues, decide on models, modeling, QA/testing and showcase the findings in various formats for client consumption. Responsibilities: a) Analytics Requirements Definition: Works with business users to approve the requirements for analytics solution. b) Data Preparation: Reviews data preparation rules (data extraction, data integration, data granularity, data cleansing etc.). Prepares data for analytical modelling. Guides data analysts and associate data scientists on data preparation activities. c) Builds Machine Learning (ML) and Statistical Models using Python/R/Scala/SAS/SPSS d) Collaborate with clients and internal teams to define industry-leading analytics solutions for a wide variety of industries and business groups e) Develop proof-of-concepts and demos needed for client & internal presentations f) Create clear functional and technical documentation g) Work agnostic across multiple industry sectors and functional domains, with focus on BFSI and CPG domains. h) Work closely with all stakeholders to identify, evaluate, design, and implement statistical and other quantitative approaches for modeling enterprise scale data and big data i) Display proficiency in converting algorithmic proof of concepts into business requirement documents for product development or data driven actionable intelligence Minimum Requirements & Qualification The ideal candidate should have: • Full time Degree in Mathematics, Statistics, Computer Science or Computer Applications from reputed institutions, B.E./B.Tech., MBA specialized in Marketing, Operations Research, Data Science and/or Business Analytics • Overall 8+ years of technical experience in IT industry across BFSI and CPG domains. • Minimum of 5 years of hands-on work experience in Data Science/Advance analytics, Machine Learning using Python and SQL • Practical experience specifically around quantitative and analytical skills is required. • People management skills and experience, and familiarity with the pharmaceutical industry are preferred. • Knowledge of solution design, planning, and execution • Contribute to case studies, blogs, eBooks, and whitepapers • Proficiency in maintaining strong project documentation hygiene • Able to fully assimilate into automated MLOps mode • Must have good communication skills – written, oral, ppt and language skills o Able to translate statistical findings to business English • Hands on experience in one or more of the skillsets below: o Programming Language: R Programming, Base SAS, Advanced SAS o Visualization Tool: Tableau, MS Excel, think-cell, Power BI, Qlik Sense o Automation Tool: VBA Macro, Python scripts • Basic understanding of NLP/NLU/NLG and text mining • Skills/knowledge of advanced ML techniques with image processing and signal processing is a plus • GenAI and multimodal GenAI skills with RAG development and fine tuning • Sounds statistical training in linear and non-linear regression, weighted regression, clustering, and classification techniques • Sound understanding of applied statistical methods including survival analysis, categorical data analysis, time series analysis and multivariate statistics • Introduction to classical statistical including concepts in Bayesian statistics, experimental design and inference theory • Practical understanding of concepts in computer vision, data mining, machine learning, information retrieval, pattern recognition and knowledge discovery • Additional knowledge in WFM, biological learning systems and modern statistical concepts is a plus • Knowledge of IoT devices and solutions with multi-sensor data fusion is a plus • Knowledge of Geostatistics, information theory, computational statistics is a plus • Experience in character recognition with image, speech, and video analytics capabilities is a plus • Working knowledge of or certifications in AWS/Azure/GCP is beneficial

We are seeking an experienced Data Scientist to join our innovative team at Sentient Scripts. This role combines technical expertise in data engineering and analytics. The successful candidate will design, develop, and maintain data pipelines and analytical models, with a focus on Generative AI and Large Language Models (LLMs). With a strong background in Python, open-source models, and analytical frameworks, you will drive data-driven insights and advance our cutting-edge R&D initiatives. Key Responsibilities: - Design, build, and optimize scalable data pipelines to process structured and unstructured data for analytical, Generative AI, and LLM-based applications. - Develop and implement analytical models, Generative AI solutions, and LLM workflows using Python, open-source frameworks, and libraries. - Collaborate with cross-functional teams to define data requirements and deliver actionable insights from complex datasets, including those powering AI-driven systems. - Conduct hands-on development for in-house R&D projects, exploring innovative data solutions, Generative AI use cases, and LLM integrations. - Ensure data quality, integrity, and security across all systems and processes, particularly for AI model training and deployment. - Document workflows, processes, and technical specifications to support knowledge sharing and scalability. - Stay updated on industry trends, open-source tools, and advancements in Generative AI, LLMs, data engineering, and analytics to enhance team capabilities. - BI Visualisation in powerBI/tableau Required Qualifications: - 2-5 years of professional experience in data engineering, data analysis, or a related role. - Proficiency in Python programming for data processing, analysis, and model development, including Generative AI and LLM applications. - Hands-on experience with open-source data tools and frameworks and LLM ecosystems. - Strong knowledge of analytical modeling techniques, including statistical analysis, machine learning, Generative AI, and data visualization. - BI Visualisation in powerBI/tableau - Experience working with relational and non-relational databases (e.g., SQL, PostgreSQL, MongoDB). - Familiarity with version control systems (e.g., Git) and cloud platforms (e.g., AWS, GCP, Azure) is a plus. - Problem-solving mindset with a passion for innovation and R&D in AI technologies. Preferred Skills: - Experience with large-scale data processing and distributed systems for AI model training and deployment. - Knowledge of Generative AI techniques and LLM fine-tuning, deployment, and optimization. - Ability to translate business needs into technical solutions, particularly for AI-driven outcomes. What We Offer: - Opportunity to work on groundbreaking R&D projects with real-world impact, including Generative AI and LLM innovations. - A collaborative and dynamic work environment with a focus on growth and learning. Experience - 2 Years to 5 Years

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are looking for an AI/ML Specialist with expertise in clustering algorithms, dimension reduction algorithms, and anomaly detection techniques on large datasets. The ideal candidate will be well-versed in unsupervised learning techniques and have solid proficiency in Python and various ML modules such as PyTorch, TensorFlow, or Scikit-learn. Additionally, the candidate should have extensive knowledge of Snowflake, Databricks, and Azure services like Azure ML and AKS. Knowledge of healthcare and FHIR standards. Primary Responsibilities: Develop and implement clustering algorithms to analyze large datasets and detect anomalies Apply dimension reduction techniques to enhance data processing and model performance Utilize unsupervised learning techniques to uncover patterns and insights from data Select, write, train, and test AI/ML models to ensure optimal accuracy and performance Collaborate with cross-functional teams to integrate AI/ML solutions into existing systems Utilize Python and ML modules (PyTorch, TensorFlow, Scikit-learn) for model development and deployment Leverage Snowflake and Databricks for data warehousing and management Utilize Azure services such as Azure ML and AKS for model deployment and management Continuously monitor and refine models to improve their effectiveness Document processes and results, and present findings to stakeholders Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, or a related field Proven experience in developing and implementing clustering algorithms, dimension reduction techniques, and anomaly detection Experience with Azure services (Azure ML, AKS) Knowledge of Snowflake and Databricks Proficiency in Python and ML modules (PyTorch, TensorFlow, Scikit-learn) Solid understanding of unsupervised learning techniques Proven excellent problem-solving skills and attention to detail Proven ability to work independently and as part of a team. Proven solid communication skills to convey complex technical concepts to non-technical stakeholders At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

Job Summary We are seeking a Data Scientist to join our team to analyze complex datasets, develop machine learning models, and provide data-driven insights to support business decisions. Key Responsibilities Data Analysis & Exploration Perform comprehensive exploratory data analysis (EDA) on large datasets. Identify patterns, trends, and anomalies in data. Conduct statistical analysis to validate business hypotheses. Create data visualizations to communicate findings effectively. Assess and ensure data quality and integrity. Write complex SQL queries to extract and manipulate data Machine Learning & Modeling Design and develop machine learning models for business problems like (XG Boost, Logistic Regression, DNN, RNN etc) Implement supervised and unsupervised learning algorithms Perform feature engineering and selection Evaluate model performance using appropriate metrics Deploy and monitor machine learning models in production Programming & Development Develop data analysis scripts and automation tools using Python Build data pipelines and ETL processes Create reusable code libraries and functions Maintain version control and documentation standards Required Qualifications Technical Skills SQL: Advanced proficiency in writing complex queries, joins, subqueries, and database optimization Python: Strong programming skills in Python for data analysis and machine learning Exploratory Data Analysis: Expertise in EDA techniques, statistical analysis, and data visualization Machine Learning: Solid understanding of ML algorithms, model evaluation, and validation techniques Statistics: Knowledge of statistical methods, hypothesis testing, and experimental design Knowledge of any cloud like AWS, GCP or Azure is good to have Must have experience working on ML Algorithm’s including - Random Forest, XGBoost and Neural networks. Familiarity with version control systems Experience with containerization and deployment tools Good to Have:- Worked on GenAI based Projects Using GenAI for driving productivity in your work. Knowledge of PySpark is a plus Must have Frameworks: Scikit Learn Any 1 of these 3 is a requirement. Pytorch/Keras/ TensorFlow

About the Job: The Data Development, Insights & Strategy team is a highly focused effort to use the combination of our product fleet data, our business and sales data to provide strategic insight and act on the moments that matter in near real time to both drive meaningful customer interactions, product evolution, modernize/drive our business systems and identifying opportunities to maximize our understanding and execution of product & business models which in turn maximize our ability to successfully capture our market opportunity. We are seeking a technically minded, detail oriented and creative Senior Data Scientist focused on natural language processing, machine learning & data analytics to join our team. The ideal candidate will be passionate about creating and developing applications, particularly within the language sector, and have excellent analytical and machine learning knowledge. The focus of the role will be to transform natural language data and requests into creative and interactive features part of our finance & operations business. If you want to build Next generation AI/ML applications, if you have rock-solid development skills, if you thrive in a start-up like environment, if you think outside of the box and love working in a team with similar minded engineers, if you are creative and want to help solve real world customer problems and love presenting innovative solutions, if you believe in community and OpenSource development culture then we are the TEAM for you. In this role, you will be the voice of Red Hat's technical authority, creating and delivering features/ capabilities that helps Red Hats data community and in turn our customers achieve their business and technical goals with Red Hat products effectively. You will work collaboratively with members of DDIS, finance, operations, sales, marketing, and product to construct fit for purpose analytical solutions that will be leveraged by business teams to drive proactive customer engagement. The successful candidate will have a track record of strong technical skills, drive to be innovative & creative, excellent communication and collaboration skills, a keen attention to detail, and a passion for quality and open source software. If you enjoy broadening your technical skills, and working in an environment that thrives on creativity, experimentation, and community innovation, then this is the job for you! What will you do Collaborate with a small, agile team to research and implement effective NLP algorithms and tools. Contribute to the design, development, and delivery of NLP applications from concept to production. Analyze data science prototypes and ensure they meet business requirements. Ensure the successful training and evaluation of NLP models, refining them based on statistical analysis. Collaborate with cross-functional teams, including finance, operations, sales, and marketing, to understand and meet business needs. What will you bring 5+ years of professional experience in NLP using Python, with knowledge of Spacy and Hugging Face. Strong understanding of NLP techniques and experience in Generative AI application development. Familiarity with machine learning frameworks, including TensorFlow, Keras, and PyTorch. Experience in developing scalable backend microservices in AWS. Ability to translate complex data findings into actionable business insights. Comfortable working with a small team in a fast-paced, highly collaborative environment Experience with GenAI application development - LLMs, Embedding models, Vector Databases Keep up to date in the rapidly changing field of AI/ML by constantly researching and learning new techniques and information related to NLP. Bachelors degree or above in Computer Science, Math, Computational Linguistics, or other related fields. Demonstrated experience as an NLP, or experience in a similar role/industry Experience developing highly scalable backend microservices in AWS Personal qualities and communication Communicate and influence for impact by bringing data to life via clear narratives and/or storytelling Communication skills and experience in interacting with cross functional business and engineering teams Capability in undertaking business needs analysis in direct consultation. Be a self-starter, displaying initiative in seeing needs, building functionality and leading insights for organizational change. Capability to develop a detailed understanding of our business requirements. Excellent communication, presentation, and writing skills About Red Hat Red Hat is the worlds leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Inclusion at Red Hat Red Hats culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com . General inquiries, such as those regarding the status of a job application, will not receive a reply.

Job Title: Data Scientist Python & Azure Job Summary: We are looking for an experienced Data Scientist with expertise in Python and Azure to develop, deploy, and optimize data-driven solutions. The ideal candidate should have strong experience in machine learning (ML), data analytics, and cloud-based AI solutions using Azure services like Azure Machine Learning, Synapse Analytics, and Cognitive Services. Key Responsibilities: 1. Data Science & Machine Learning: Develop and deploy ML models using Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Train, test, and optimize models using Azure Machine Learning (Azure ML). Perform predictive modeling, time-series forecasting, NLP, and computer vision tasks. Implement MLOps best practices for model versioning and deployment. 2. Data Engineering & Processing: Work with structured and unstructured data from multiple sources. Use Azure Synapse Analytics, Azure Data Factory, and Databricks for data processing. Optimize data pipelines and ETL workflows for machine learning. 3. Cloud & Deployment: Deploy ML models as APIs using Azure Functions and Azure Kubernetes Service (AKS). Integrate models into business applications using Azure Cognitive Services and REST APIs. Implement scalable and cost-effective AI/ML solutions on Azure. 4. Data Analytics & Visualization: Perform exploratory data analysis (EDA) to uncover trends and insights. Use Power BI, Matplotlib, Seaborn for data visualization and reporting. Present data-driven recommendations to stakeholders. Required Skills & Qualifications: 3 to 5+ years of experience in data science, ML, and cloud-based AI development. Hands-on experience with Azure ML, Databricks, Synapse Analytics, and Cognitive Services. Knowledge of SQL, NoSQL, and big data processing on Azure. Experience with MLOps, CI/CD, and containerized ML deployments. Understanding of AI ethics, responsible AI, and data governance. Strong problem-solving and analytical skills. Azure Data Science or AI certification (DP-100, AI-102) is a plus.

Job Position : Principal Data Scientist / Sr Data Scientists /Data Scientist / Jr. Data Scientist / Data Science Intern / Machine Learning Engineer-Global Tech AI Health Startup. Joining : Immediately. Job Location : Delhi NCR, India. Global HQ, Benovymed Global Technology Development and Innovation Center & Benovymed Global R and D, and AI Health Innovation Center in Delhi NCR. Job Role Responsibility Description : We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare. Required Skillsets : - Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers. - Need to be able to communicate their findings, orally and visually. - Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.- - Need to have a natural desire to go beneath the surface of a problem. - Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown. - Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming. - Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch. In addition the need to be familiar with disciplines as follows : - Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing. Data scientists should have at least some of the following capabilities : - Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment. - Being able to develop or program databases. - Having a good understanding of design & architecture principles. Qualification : B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT. Mandatory Requirement : Experience : - Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist. - Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems. CTC : - Best Package in Industry. - Terms & Conditions Apply as per our organization. - To deserving eligible candidates only, the company Equity / ESOP may be given also as a part of a Package for a long-term career opportunity. - Apply with your CV with passport size photo, & current CTC, expected CTC, Notice Period, Project details & cover letter.

Position: Data Governance Associate Exp: 4-6 Years Location: Hyderabad [Madhapur] Work mode: 2 Days WFO NP: Only Immediate/1 week Position Overview: We are looking for a motivated and detail-oriented Data Governance Associate to join our AI & Data Governance team. The ideal candidate will have 3 to 4 years of experience in data governance, focusing on data quality and master data management. This role will support the development and maintenance of data governance frameworks, ensuring the integrity and accessibility of data assets across the organization. The Data Governance Associate will play a key role in enhancing our data object dictionary and contributing to data quality initiatives. Key Responsibilities: 1. Data Quality and Master Data Management: ● Assist in the development and implementation of data quality frameworks and master data management processes. ● Monitor and report on data quality metrics, identifying areas for improvement and ensuring compliance with data governance standards. 2. Data Object Dictionary: ● Support the creation and maintenance of a comprehensive data object dictionary to ensure that data assets are well-documented and easily accessible. ● Collaborate with cross-functional teams to standardize terminology and enhance understanding of data objects across the organization. 3. Data Governance Support: ● Assist in the execution of data governance initiatives, including data stewardship and data lifecycle management. ● Participate in data governance meetings and contribute to the development of policies and procedures that promote data integrity and compliance. 4. Collaboration and Communication: ● Work closely with data owners, data stewards, and other stakeholders to ensure alignment on data governance practices. ● Communicate effectively with technical and non-technical teams to promote data governance awareness and best practices. Qualifications: Education: ● Bachelor’s degree in Computer Science, Information Management, or a related field. Experience: ● 3 to 4 years of experience in data governance, data quality, and master data management. ● Familiarity with data object dictionaries and data documentation practices. ● Experience in monitoring and improving data quality metrics. Technical Skills: ● Basic proficiency in SQL for querying and extracting data from databases. ● Familiarity with data governance tools and platforms is a plus. ● Understanding of data integration techniques and tools. Soft Skills: ● Strong analytical and problem-solving skills with attention to detail. ● Excellent communication skills, with the ability to convey complex data concepts clearly. ● Ability to work collaboratively in a team environment and manage multiple tasks effectively. Preferred Qualifications: ● Experience in supporting data governance initiatives and projects. ● Knowledge of data quality principles and practices Someone who can help establish enterprise level MDM architecture, processes, governance and additionally undertake 20-4 entities mastering via client's AI powered MDM platform 1. What should our mdm architecture look like? 2. How to derive master data 3. Where to store master data 4. How will master data be updated, maintain history 5. What will be the consumption pattern of master data i.e. API, batch with source systems 6. How will source systems use master data. 7. How to achieve Client 360 vision 8. Understand the source data, identify what to join, undertake mastering and derive a master view 9. Undertake 2-4 Master data entities mastering via any AI powered MDM platform

📍 Location: Remote 📅 Experience: Freshers (0–1 Year) 🏢 Company: AppZime Technologies Are you a data enthusiast ready to launch your career in the world of AI, analytics, and innovation? Join AppZime Technologies and work on real-world data problems, collaborate with experienced teams, and grow your skills in a dynamic remote environment. 🚀 What You’ll Do Assist in collecting, cleaning, and analyzing large datasets Support development of ML models and algorithms for various business problems Work with senior data scientists and developers on data-driven projects Visualize and present insights using dashboards and reports Learn and implement tools like Python, SQL, pandas, NumPy, and Scikit-learn Conduct exploratory data analysis (EDA) and feature engineering ✅ What We’re Looking For Freshers or recent graduates with B.Tech / BCA / MCA / M.Sc in CS, Data Science, or related fields Basic knowledge of Python, SQL, and data manipulation libraries Understanding of machine learning fundamentals and statistics Eagerness to learn, adapt, and contribute in a fast-paced tech environment Good communication and problem-solving mindset Bonus: Any internship, personal project, or coursework in data science or ML 💻 Perks Remote work flexibility Mentorship from experienced professionals Opportunity to work on live projects A fast-learning, startup-driven culture Exposure to modern tools and platforms (ML, AI, Cloud, etc.) 📩 Interested? Contact Person: https://www.linkedin.com/in/harshit2904/ #DataScience #FresherJobs #Hiring #RemoteJobs #DataAnalytics #AppZime #MachineLearning #AIJobs #CareerLaunch #FreshersWelcome

Potential candidates should have excellent depth and breadth of knowledge in machine learning, data mining, and statistical modeling. They should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The role is that of an individual contributor; however, the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis. Minimum Qualifications Bachelor’s degree in computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Plotly, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or QlikSense. 1+ years' experience in SQL programming language and relational databases. Create visualizations to connect disparate data, find patterns and tell engaging stories. This includes both scientific visualization as well as geographic using software such as Power BI. Preferred Qualifications An MS/PhD in Computer Science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. PhD strongly preferred. Experience working with Google Cloud Platform (GCP) services, leveraging its capabilities for ML model development and deployment. Experience with Git and GitHub for version control and collaboration. Besides Python, familiarity with one more additional programming language (e.g., C/C++/Java) Strong background and understanding of mathematical concepts relating to probabilistic models, conditional probability, numerical methods, linear algebra, neural network under the hood detail. Experience working with large language models such GPT-4, Google, Palm, Llama-2, etc. Excellent problem solving, communication, and data presentation skills. Key Roles and Responsibilities of Position: Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness

Job Title: Data Scientist Reports To: The Data Scientist will report to the Data Science Section Manager / Senior Data Scientist (7-12 years of experience). Job Overview: We are looking for Senior Data Scientist who will play an analytical role researching, designing, implementing, and deploying full-stack scalable data analytics vision and AI solutions to challenge various business issues. The ideal candidate will demonstrate deep understanding of statistical and machine learning concepts, a high standard for coding best practices, passion for pushing the team to improve their standard practices, technical skills for leveraging analytical tools to solve large scale problems and designing tools when they don't exist, technical aptitude to remain abreast with related science technologies, leadership in charting new analytical courses, and excitement to use iterative approaches to tackle long-term challenges Your goal will be to help Rakuten Mobile Inc. analyze trends to make better decisions and enable the automation of the network operations and management. Responsibilities: Deep understanding of statistical and machine learning models. Proven experience building models and placing models into production.Supporting implementation of advanced analytics in industry Resolving resolving issues at Data Platform. Strong experience on VNF, Kr8 Platforms. Experience with big data: extraction, processing, filtering, and presenting large data quantities (100K to Millions of rows) via Cloud technologies, SQL, and data pipelines. Experience in optimization problems, and solving those problems at scale · Presenting information using data visualization techniques · Identify valuable data sources and automate collection processes · Analyze large amounts of information to discover trends and patterns · Build predictive models and machine-learning algorithms · Combine models through ensemble modeling · Propose solutions and strategies to business challenges · Collaborate across different business unit and product development teams Requirements: · Strong Skills of machine-learning and AI · Strong Knowledge of Python, PySpark, SQL, Flask; familiarity with data frameworks such as Hadoop, databases (PostgreSQL, MongoDB, YugaByte), understanding of cloud-native deployments and infrastructure · Strong math / analytical skills (e.g. statistics, algebra) · Excellent communication and presentation skills · MSc/BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or a quantitative field is preferred · Experience in data mining · Experience in product development Job Types: Full-time, Permanent Pay: ₹2,600,000.00 - ₹3,300,000.00 per year Benefits: Flexible schedule Health insurance Internet reimbursement Life insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Morning shift Experience: Data science: 7 years (Required) Work Location: In person

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are looking for an AI/ML Specialist with expertise in clustering algorithms, dimension reduction algorithms, and anomaly detection techniques on large datasets. The ideal candidate will be well-versed in unsupervised learning techniques and have solid proficiency in Python and various ML modules such as PyTorch, TensorFlow, or Scikit-learn. Additionally, the candidate should have extensive knowledge of Snowflake, Databricks, and Azure services like Azure ML and AKS. Knowledge of healthcare and FHIR standards. Primary Responsibilities Develop and implement clustering algorithms to analyze large datasets and detect anomalies Apply dimension reduction techniques to enhance data processing and model performance Utilize unsupervised learning techniques to uncover patterns and insights from data Select, write, train, and test AI/ML models to ensure optimal accuracy and performance Collaborate with cross-functional teams to integrate AI/ML solutions into existing systems Utilize Python and ML modules (PyTorch, TensorFlow, Scikit-learn) for model development and deployment Leverage Snowflake and Databricks for data warehousing and management Utilize Azure services such as Azure ML and AKS for model deployment and management Continuously monitor and refine models to improve their effectiveness Document processes and results, and present findings to stakeholders Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor's or Master's degree in Computer Science, Data Science, or a related field Proven experience in developing and implementing clustering algorithms, dimension reduction techniques, and anomaly detection Experience with Azure services (Azure ML, AKS) Knowledge of Snowflake and Databricks Proficiency in Python and ML modules (PyTorch, TensorFlow, Scikit-learn) Solid understanding of unsupervised learning techniques Proven excellent problem-solving skills and attention to detail Proven ability to work independently and as part of a team. Proven solid communication skills to convey complex technical concepts to non-technical stakeholders At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

Data Scientist - - - - - - - - - - - - KEY EXPECTED ACHIEVEMENTS The business need is understood and formalized in a descriptive datasheet or specifications The methods are clearly selected by their theoretical bases, advantages and drawbacks The data, its relevance and its source are described and prioritized The data are prepared (cleaned, enriched, mapped, agregated, …) and the approach is documented The data analysis is implemented and documented Machine Learning pipeline are built, tested and automatized for deployment The algorithms and models (descriptive and/or predictive) are developed and the approach is documented The results of the analysis or the models are presented to the customers with data visualisation tools indicating the performances and the limits. The source code is delivered and explained if necessary Models are validated and decisions deployment are taken, from roll-out-strategy Peer reviews are organized to ensure quality of delivering.

At Hashbrown Systems, we are dedicated to leveraging data to drive innovation and make informed business decisions. Our dynamic team is looking for a talented Data Scientist to join us and contribute to our mission. If you are passionate about data and have a solid foundation in quantitative analysis, we want to hear from you! Job Description: As a Data Scientist, you will work with our data science team to analyze data, build models, and provide actionable insights to support our business objectives. Your role will involve using statistical methods and machine learning techniques to solve complex problems and deliver data-driven solutions. Key Responsibilities: Analyse large datasets to identify trends, patterns, and insights. Apply statistical methods to solve business problems and inform decision-making. Develop predictive models using machine learning techniques. Assist in data cleaning, preparation, and exploratory data analysis. Collaborate with cross-functional teams to understand data needs and provide actionable insights. Present findings and recommendations to stakeholders in a clear and concise manner. Stay updated with the latest trends in data science, statistical methodologies, and large language models (LLMs). Qualifications: Bachelor’s or Master’s degree in Statistics, Mathematics, Data Science, or a related field. Minimum 1-3 years of experience in data analysis, statistical modelling, or machine learning projects. Strong understanding of statistical concepts and methodologies. Familiarity with programming languages such as Python or R. Basic knowledge of large language models (LLMs) and their applications. Experience with data visualization tools (e.g., Tableau, Power BI) is a plus. Basic knowledge of machine learning algorithms and techniques. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Preferred Qualifications: Experience with SQL and relational databases. Experience in statistical modelling and ML algorithms Hands on experience on R and Python Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹70,000.00 per month Benefits: Paid time off Schedule: Day shift Monday to Friday Morning shift Supplemental Pay: Performance bonus Experience: total work: 1 year (Preferred) Work Location: In person

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 2 - 4 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, Deep learning & 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)