8101 Data Scientist Jobs - Page 6

Senior Data Scientist Experience Required: 6-8 years in data science or related field About the Role We are seeking an experienced Senior Data Scientist to join our team and help our clients drive data-driven decision making across our organization. In this role, you will leverage your deep expertise in statistical analysis, machine learning, and predictive modeling to solve complex business problems and deliver actionable insights using cutting-edge technologies. Key Responsibilities Lead end-to-end data science projects from problem definition through deployment and monitoring Conduct comprehensive exploratory data analysis (EDA) to uncover patterns, anomalies, and opportunities in complex...

Roles and Responsibilities: Design and maintain efficient data pipelines and workflows for analytics projects, data ingestion, processing, and storage Clean, transform, and integrate structured, semi-structured, and unstructured data from multiple sources Build, train, and deploy machine learning models to optimize processes and create value Develop and deploy statistical models to solve business problems and predict outcomes Develop interactive dashboards and reports in Power Must have skill: Should have experience in data science with Power Bi Contact Person: Divya R Email ID: rdivya@gojobs.biz

Hands-on experience in SAS and SQL Experience with Tableau Knowledge of Basic Statistical & Machine Learning Concepts like PD, Hypothesis Testing, Linear & Logistic Regression, Decision Trees, XG Boost, Random Forest, Segmentation, K means, NLP.

What You Will Do In This Role: · Highly skilled in Python Programming. · Possess analytical skills to put the Machine Learning/Deep Learning models into production. · Thorough with the concepts of Statistics and Probability. · In Depth knowledge and understanding of Supervised, Unsupervised and Semi Supervised algorithms. · Should possess the knowledge of data extraction and scrapping. · Should be flexible to learn new technologies as per the demand. · Have hands-on experience of working with Machine Learning/ Deep Learning models, Big Data. · Should have hands-on knowledge of python dataframe for Machine Learning and Deep Learning. · Good to have experience of data manipulation and visualiz...

Job Description: Responsibilities: Lead and manage team(s) of data scientists and analysts, providing guidance and delivering projects across ML / NLP / Gen-AI. Drive strategic initiatives and innovation in AI across these focused industries: BFSI, Retail, Telecom, Manufacturing, Automotive, FMCG, Healthcare, Pharma, etc. Collaborate with senior leadership and drive client engagements to align with business goals and objectives. Design and review solutions on (not limited to) time series forecasting, regression/classification modelling, clustering techniques, Gen AI, etc. Manage and optimize cloud-based analytics platforms (Azure, GCP, or AWS) for AI and Gen AI related projects. Maintain a s...

Greetings from Teknikoz Experience : 5+years Roles and Responsibilities Strong programming skills in Python or R, big data technologies (Hadoop, Spark, or Databricks), cloud platforms (AWS, GCP, or Azure), Background in natural language processing (NLP), computer vision, or deep learning, SQL Good to have skill machine learning algorithms, and data mining techniques, data visualization tools (Tableau, Power BI, matplotlib, seaborn, etc.).

Synopsis of the role Understand client’s business requirements in terms of analytical needs and be a part of a High-class delivery team to deliver unparalleled analytical solutions using best in class analytical techniques. What you’ll do Ability to understand BFSI business problems and consult client on the appropriate solutions Provide thought leadership to projects and help develop unique solutions and deliver analytical outputs. Contribute to Building the BFSI Analytics practice through on- going identification of new opportunities. Provide hands-on support to the project team in developing ML models Build bureau-based Analytics capabilities and use the new age technology to implement th...

Required Skills & Experience 3+ years of hands-on experience in ML/AI development, including LLMs and generative models. Strong programming expertise in Python and PySpark , with experience in scalable data pipelines. Hands-on experience with LangChain, LlamaIndex, LangGraph or equivalent frameworks. Solid understanding of ML model deployment and serving platforms (e.g., SageMaker, Bedrock, TorchServe, BentoML, KFServing). Proficiency in containerization and orchestration tools (Docker, Kubernetes). Practical expertise in prompt engineering and RAG pipelines (embedding models, chunking, retrieval strategies, caching). Experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus)...

Job Title: Senior Data Scientist Experience: 8+ Years Location: Hyderabad – Onsite About the Role We are hiring an experienced Data Scientist with strong expertise in machine learning, statistical modeling, data engineering, and enterprise-scale analytics. You will build predictive models, generate insights, and collaborate with cross-functional teams to deliver high-impact data solutions. Key Responsibilities Build ML models using Python/R (scikit-learn, TensorFlow, PyTorch, NumPy, pandas). Perform exploratory data analysis (EDA), feature engineering, and model optimization. Develop dashboards using Power BI/Tableau and analytical visuals (Matplotlib/Seaborn). Create enterprise-grade SQL pi...

We’re Hiring: Data Scientist / Machine Learning Engineer (4–7 years experience) Are you passionate about turning data into real business impact? We’re looking for a Data Scientist / ML Engineer to join our team and help productionize cutting-edge predictive models that power smarter decisions in the fintech and customer engagement space. What You’ll Do: Build, deploy, and optimize predictive models across lending, collections, and CRM use cases. Work hands-on with large-scale datasets and modern data pipelines. Collaborate with cross-functional teams to translate business challenges into data-driven solutions. Apply best practices in MLOps, model monitoring, and governance. Communicate insig...

As a highly skilled Senior Machine Learning Engineer with expertise in Deep Learning, Large Language Models (LLMs), and MLOps/LLMOps, your role will involve designing, optimizing, and deploying cutting-edge AI solutions. You will be responsible for tasks such as model development, fine-tuning, deployment, and scalability. The ideal candidate will have hands-on experience in developing and scaling deep learning models, fine-tuning LLMs, and implementing deployment pipelines for production environments. Key Responsibilities: - Design, train, fine-tune, and optimize deep learning models (CNNs, RNNs, Transformers) for NLP, computer vision, or multimodal applications. - Fine-tune and adapt Large ...

As a Senior Data Scientist at Cisco, you will play a vital role in leveraging data to provide actionable insights for executives to make informed decisions. You will be part of a dynamic and innovative team based in Bangalore, India, dedicated to analyzing complex datasets and identifying growth opportunities for the organization. **Key Responsibilities:** - Design, develop, and implement advanced machine learning models to address complex business challenges. - Apply AI techniques and generative AI models to enhance data analysis and predictive capabilities. - Utilize Tableau and other visualization tools to create insightful dashboards for stakeholders. - Manage and optimize large datasets...

Job Description Required Skills & Experience 3+ years of hands-on experience in ML/AI development, including LLMs and generative models. Strong programming expertise in Python and PySpark, with experience in scalable data pipelines. Hands-on experience with LangChain, LlamaIndex, LangGraph or equivalent frameworks. Solid understanding of ML model deployment and serving platforms (e.g., SageMaker, Bedrock, TorchServe, BentoML, KFServing). Proficiency in containerization and orchestration tools (Docker, Kubernetes). Practical expertise in prompt engineering and RAG pipelines (embedding models, chunking, retrieval strategies, caching). Experience with vector databases (e.g., Pinecone, Weaviate,...

Maddisoft has the following immediate opportunity. Send in your resume ASAP along with LinkedIn profile without which applications will not be considered. All qualified Indian citizens are encouraged to apply. Role: Data Scientist Location: Pune, Hyderabad Job Summary: JD of the resource- Entry Level Data Scientist (0-2 years' experience) aware of Analytics methodologies like Regression, Clustering, Factoring, Time-Series Well versed in Excel & Python/R The role and responsibilities the developer- Analysis of historical pricing, cost & market intelligence data to enable Pricing Managers across different BU's take insightful pricing decisions Knowledge/experience required for the resource- Ex...

**Job Description:** You will be responsible for understanding business processes and data to model requirements and create analytics solutions. Your key responsibilities will include building predictive models and recommendation engines using state-of-the-art machine learning techniques, analyzing data to discover actionable insights and patterns, and assisting the Function Head in data preparation and modeling tasks as required. **Key Responsibilities:** - Collaborate with business and IT teams for understanding and collecting data - Collect, collate, clean, process, and transform large volumes of primarily tabular data - Apply data preparation techniques like data filtering, joining, clea...

The Data Science - Manager (Sr. Data Scientist) will be a member of VCA Data Science team in Asia Pacific. The position will be based in Visa s Bangalore office. The individual will be accountable for supporting and driving the design, development and implementation of analytics-driven strategies as well as high-impact solutions for Visa clients. He/she will bring in deep expertise from banking and payments with a strong background in data science to solve complex problems and unlock business value. Manage and deliver analytics projects from conception to completion with actionable insights and recommendations. Define detailed scope and methodology, design and create solutions, and execute o...

Uncodemy is seeking an experienced Data Science Trainer to deliver high-quality training to students and working professionals. The trainer should have strong hands-on expertise in Data Science, Machine Learning, Python Programming, and related tools, along with the ability to explain concepts in a simple and clear manner. Key Responsibilities Conduct offline and online training sessions on Python for Data Science , Machine Learning , Deep Learning , Data Analysis , and Visualization Tools . Teach essential libraries and frameworks such as NumPy , Pandas , Matplotlib , Seaborn , Scikit-Learn , TensorFlow , and Keras . Explain real-time industry use cases, project workflows, and end-to-end mo...

Lead Data Scientist - Credit risk Experience: 7+ Years Job location: Chennai - Work From Office(5 Days) Shift Timings: 1:00 PM-10:00 PM IST Role & responsibilities Mentor and grow a small India team of data scientists and analysts; instill best practices in model development, validation, and governance. Partner with U.S. leadership to shape the credit analytics roadmap and prioritization. Lead discussions with business and partner teams to define analytical requirements and problem statements. Risk Modeling & Analytics (Technical Core) Build, validate, and monitor credit risk scoring models including Probability of default (PD), Loss given Default (LGD), and Exposure at Default(EAD) framewor...

Role & responsibilities Job Description: LLM Engineer / GenAI Engineer Job Title: LLM Engineer / GenAI Engineer Location: Bangalore. Experience: 4+ Years Employment Type: Permanent Industry: IT / AI / Product Development Job Summary We are seeking a highly skilled LLM Engineer with strong hands-on experience in fine-tuning and training LLMs/SLMs/VLMs , building GenAI applications, and working across data engineering, embeddings, and vector databases. The ideal candidate is passionate about solving real-time problems using AI, building scalable GenAI pipelines, and deploying models in production using modern MLOps practices. Key Responsibilities 1. LLM Training & Fine-Tuning (50%) Fine-tune a...

Role Overview: Senior Python Developer (Top Coder Track) Were looking for a world-class Python Developer — someone who lives and breathes code, optimizes for performance, and has proven mastery on competitive programming or data challenge platforms like LeetCode, Codeforces, HackerRank, or Kaggle . This is a pure coding role — where you’ll tackle challenging engineering problems, design scalable systems, and collaborate with leading AI research teams. What You’ll Do Build, test, and optimize high-performance Python systems used in large-scale AI and data pipelines. Design and maintain modular, clean, and production-ready Python codebases. Collaborate with cross-functional teams (data, infra,...

Enterprise Bot is the leading provider of GenAI, Conversational AI, and automation software, headquartered in Zurich, Switzerland. Our intelligent virtual assistants and automation tools help organizations improve efficiency, reduce costs, and deliver exceptional customer experiences across industries such as banking, insurance, and logistics. Our mission is to become the world’s #1 AI-driven automation software provider within the next five years. We work with leading companies such as the SIX Group (Swiss Stock Exchange), SWICA, Generali, and others to enhance customer interactions and automate business processes using our cutting-edge Conversational AI technology. Our global team includes...

Job Description At Nielsen, our goal is to build a better media future for all people. Our focus is on representing all audiences and understanding how they interact with content and advertising. As part of Nielsen s Outcomes and Measurement team you will be part of a data science team focused on building scalable solutions to answer the questions like: What was the return on investment for specific media spend? Which marketing type drove the highest return on investment? How do we measure the causal relationship between advertising and engagement/sales? How can we use data to help our clients plan for the future? Our Data Science associates come from diverse disciplines that include busines...

Hiring "Senior Data Scientist"(1 Udaipur, 1 Remote). Work on ML, GenAI, LLMs; 5–7 yrs exp; strong Python & DL skills. First 90 days may need Udaipur onboarding, perks & bnfts Apply & refer JD > current openings : https://www.nurimtech.ai/career.html Required Candidate profile Seeking a Data Scientist (5–7 yrs) skilled in ML, GenAI, LLMs, Python, and DL frameworks. Must handle end-to-end ML projects, read/implement research, and mentor juniors with strong analytical skills. Perks and benefits Flexibility, bonuses, learning support, insurance

As a Senior Data Scientist you will help build the next generation of AI/ML-enabled solutions that underpin our strategic vision of digitalizing industrial projects and operational risk. You will apply your expertise in machine learning, cloud platforms (especially Snowflake and Azure), agile delivery (using Azure DevOps), and software development practices, to deliver scalable, robust, production-ready systems across the globe. You will play a pivotal role in positioning our team as the central AI Hub for the P&A division consulting and co-planning with platform teams, defining MLOps and governance standards, and guiding complex AI/ML projects from ideation to production. Key Responsibiliti...

POSITION \- Senior Data Scientist \u2013 Agentic AI Platform (Mortgage Industry) Location: 1 st preference \u2013 WFO \- Hyderabad Experience: 5+ years in applied data science, with 3+ years in financial domain AI Role Overvie w We are hiring a Senior Data Scientist to develop and deploy advanced AI/ML models powering mortgage automation agents . This role involves designing models for creditworthiness prediction, fraud detection, income verification, document intelligence, and conversational agents . The candidate will ensure models are accurate , explainable, and compliant with regulatory frameworks. Key Responsibilities Build, train, and optimize ML/AI models for mortgage risk, loan eligi...