1608 Data Scientist Jobs - Page 22

Role - Sr Data Scientist Location - Gurgaon Work from Office - 5 Days What skills would you possess: • Total Experience: 3-5 years in data science - Gen- AI or related field. • Preferred Educational Background: Advanced degree in a relevant field (e.g., Computer Science, Data Science, Machine Learning). Technical Skills: • Strong expertise in NLP, chatbot development, deep learning, LLMs, Prompt Engineering & Fine tuning. Proficient in machine learning models: XGBoost, Random Forest, SVM. Experience with Dialog Flow and Rasa integration. Proficient in Python, PyTorch, Python packages, and related IDEs. Familiarity with Agile development methodologies. Experience with Jenkins and GitHub for CI/CD Communication Skills: Excellent verbal and written communication skills. If you are a motivated and skilled data scientist with a proven track record in NLP, chatbot development, deep learning, and machine learning models, we invite you to apply for the Senior Data Scientist position at Mobikwik. Join us in shaping the future of data-driven solutions in the fintech industry. Girish Gupta https://www.linkedin.com/in/igirishgupta/

Role & responsibilities We are seeking a highly experienced Generative AI Architect to lead the design and development of an AI platform that leverages Large Language Models (LLMs) and other cutting-edge AI technologies. In this role, you will be responsible for architecting scalable systems that process unstructured data (such as PDFs of technical documents) and generate structured outputs. You will collaborate with data scientists, engineers, and product teams to build an end-to-end AI-driven platform for real-world applications. Skills Required: GenAI (LMM) Technology & Architecture Cloud (AWS) Based solution dev. (EC2, AWS Bedrock, EKS, microservices) LLM & Transformer based models - Selection, integration and optimization Data pipeline engineering Product security

Job Summary: We are looking for a highly skilled Data Scientist with deep expertise in time series forecasting, particularly in demand forecasting and customer lifecycle analytics (CLV). The ideal candidate will be proficient in Python or PySpark, have hands-on experience with tools like Prophet and ARIMA, and be comfortable working in Databricks environments. Familiarity with classic ML models and optimization techniques is a plus. Key Responsibilities • Develop, deploy, and maintain time series forecasting models (Prophet, ARIMA, etc.) for demand forecasting and customer behavior modeling. • Design and implement Customer Lifetime Value (CLV) models to drive customer retention and engagement strategies. • Process and analyze large datasets using PySpark or Python (Pandas). • Partner with cross-functional teams to identify business needs and translate them into data science solutions. • Leverage classic ML techniques (classification, regression) and boosting algorithms (e.g., XGBoost, LightGBM) to support broader analytics use cases. • Use Databricks for collaborative development, data pipelines, and model orchestration. • Apply optimization techniques where relevant to improve forecast accuracy and business decision-making. • Present actionable insights and communicate model results effectively to technical and non-technical stakeholders. Required Qualifications • Strong experience in Time Series Forecasting, with hands-on knowledge of Prophet, ARIMA, or equivalent – Mandatory. • Proven track record in Demand Forecasting – Highly Preferred. • Experience in modeling Customer Lifecycle Value (CLV) or similar customer analytics use cases – Highly Preferred. • Proficiency in Python (Pandas) or PySpark – Mandatory. • Experience with Databricks – Mandatory. • Solid foundation in statistics, predictive modeling, and machine learning. Show more Show less

Chicmic Studios Job Role: Data Scientist Experience Required: 3+ Years Skills Required: Data Science, Python, Pandas, Matplotlibs Job Description: We are seeking a Data Scientist with strong expertise in data analysis, machine learning, and visualization. The ideal candidate should be proficient in Python, Pandas, and Matplotlib, with experience in building and optimizing data-driven models. Some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models would be a plus. Roles & Duties: Analyze and process large datasets using Python and Pandas. Develop and optimize machine learning models for predictive analytics. Create data visualizations using Matplotlib and Seaborn to support decision-making. Perform data cleaning, feature engineering, and statistical analysis. Work with structured and unstructured data to extract meaningful insights. Implement and fine-tune NER models for specific use cases (if required). Collaborate with cross-functional teams to drive data-driven solutions Required Skills & Qualifications: Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, etc.). Experience in data analysis, statistical modeling, and machine learning. Hands-on expertise in data visualization using Matplotlib and Seaborn. Understanding of SQL and database querying. Familiarity with NLP techniques and NER models is a plus. Strong problem-solving and analytical skills. Contact: 9875952836 Office Address: F273, Phase 8B industrial Area, Mohali, Punjab. Job Type: Full-time Schedule: Day shift Monday to Friday Work Location: In person

Experience: 3 to 4 Years Y Location: Mumbai Openings: 1 Job description: We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions. Requirement: Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Skills: Proven experience as a Data Scientist. Experience in data mining Understanding of machine-learning and operations research Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Analytical mind and business acumen Strong math skills (e.g. statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred Benefits: Work from home, flexible working hours Skills development and training opportunities, company-paid certifications Opportunities to advance career An open-minded and inclusive company culture Role: Data Scientist Department: Software Engineer Education: B.Tech

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world! Job Description We are seeking a Data Scientist to develop next-generation Security Analytics products. You will work closely with engineers and product managers to prototype, design, develop, and optimize data-driven security solutions. As a Data Scientist, you will focus on consolidating and analysing diverse data sources to extract meaningful insights that drive product innovation and process optimization. The ideal candidate has a strong background in machine learning, especially in the Natural Language Processing. Responsibilities: Design, develop, and deploy Machine Learning models. Collaborate with Product Management and cross-functional stakeholders to define problem statements, develop solution strategies, and design scalable ML systems. Leverage Large Language Models (LLMs) to build GenAI capabilities to drive business impact. Create insightful data visualisations, technical reports, and presentations to communicate findings to technical and non-technical audiences. Deploy ML models in production and implement monitoring frameworks to ensure model performance, stability, and continuous improvement. Requirements: BS, MS, or Ph.D. in Computer Science, Statistics, or a related field. 2-5 years of experience in Machine Learning projects, including model development, deployment, and optimization. Deep understanding of ML algorithms, their mathematical foundations, and real-world trade-offs. Expertise in NLP techniques like Named Entity Recognition, Information Retrieval, Text classification, Text-to-Text Generation etc. Familiarity and working experience of GenAI applications, Experience with prompting, fine-tuning and optimizing LLMs. Knowledge of recent advancements and trends in GenAI, demonstrating a commitment to continuous learning in this rapidly evolving field. Hands-on experience with ML frameworks such as Scikit-Learn, TensorFlow, PyTorch, LangChain, vLLM etc. Strong programming skills in Python and/or Java. Experience in SQL, Pandas, and PySpark for efficient data manipulation. Familiarity with microservice architectures, CI/CD, MLOps best practices. Strong communication, problem-solving, and analytical skills; a collaborative team player. Nice to Have: Familiarity with distributed computing frameworks such as Hadoop, Spark, and OpenSearch. Published research in AI/ML in peer-reviewed journals or top conferences (e.g., NeurIPS, ICML, CVPR). Prior experience applying AI/ML to cybersecurity use cases. Basic proficiency in Unix/Linux environments for scripting and automation.

About the Role We are seeking a highly skilled Data Scientist with 4-6 years of experience to join our dynamic team. The ideal candidate will be responsible for analyzing large sets of data, developing predictive models, and providing actionable insights to guide business decisions. This role requires a blend of technical expertise, business acumen, and excellent communication skills. Key Responsibilities Analyze complex data sets to identify patterns, trends, and insights. Develop and implement predictive models and machine learning algorithms. Collaborate with cross-functional teams to understand business needs and provide data-driven solutions. Interpret and communicate findings to stakeholders through reports, dashboards, and presentations. Stay updated with the latest industry trends, tools, and technologies in data science and analytics. Ensure data quality and integrity in all analytics projects. Mentor junior data scientists and provide technical guidance. Required Qualifications Bachelor's or Masters degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. 4-6 years of experience in data science, analytics, or a related role. Proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools like Tableau, Power BI, or similar. Strong understanding of machine learning algorithms and statistical methods. Excellent problem-solving skills and attention to detail. Strong communication and presentation skills. Ability to work collaboratively in a team environment. Preferred Qualifications Experience with big data technologies like Hadoop, Spark, or similar. Knowledge of cloud platforms such as AWS, Azure, or Google Cloud. Certification in data science or related fields. Experience in a specific industry (e.g., finance, healthcare, e-commerce)

Key Responsibilities Develop and optimize deep learning models for medical image analysis, including segmentation, classification, and object detection. Preprocess and clean medical imaging datasets to enhance AI model performance and reliability. Conduct model evaluation, error analysis, and performance benchmarking to improve accuracy and generalization. Collaborate with radiologists and domain experts to refine AI model outputs and ensure clinical relevance. Experience 1-3 years Data Science/Machine Learning experience Required Skills Strong fundamental knowledge of machine learning, computer vision and image processing Demonstrable experience training convolutional neural networks for segmentation and object detection Strong programming skills in Python and familiarity with data science and image processing libraries (e.g., NumPy, pandas, scikit-learn, opencv, PIL). Hands-on experience with deep learning frameworks like Keras or PyTorch. Experience with model evaluation and error analysis. Desired Skills Familiarity with healthcare or radiology datasets. Familiarity with ONNX format Qualification Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field. Company Location Baner, Pune Show more Show less

Job Title: Data Scientist – Financial Analytics Location: Onsite – Okhla Vihar, New Delhi Experience: 2-3 Years About the Role: We are seeking a passionate and results-driven Data Scientist to join our analytics team at our Okhla Vihar office. This role is ideal for someone with 2–3 years of hands-on experience in applying data science techniques to financial datasets, with a strong foundation in Python, SQL, and time series forecasting. You will play a key role in analyzing complex financial data, building predictive models, and delivering actionable insights to support critical business decisions. Key Responsibilities: Analyze large volumes of structured and unstructured financial data to extract meaningful insights. Build and evaluate predictive models using machine learning techniques (e.g., Scikit learn). Perform time series analysis and forecasting for financial indicators (e.g., market trends, portfolio performance, cash flows). Design and implement robust feature engineering pipelines to improve model accuracy. Develop risk modeling frameworks to assess financial risk (e.g., credit risk, market risk). Write complex and optimized SQL queries for data extraction and transformation. Leverage Python libraries like Pandas, NumPy, and SciPy for data preprocessing and manipulation. Create clear and insightful data visualizations using Matplotlib, Seaborn, or Plotly to communicate findings. Work closely with finance and strategy teams to translate business needs into data-driven solutions. Monitor and fine-tune models in production to ensure continued relevance and accuracy. Document models, assumptions, and methodologies for auditability and reproducibility. Required Skills & Experience: 2–3 years of experience as a Data Scientist, preferably in a financial services or fintech environment. Proficient in Python (Pandas, Scikit-learn, NumPy, SciPy, etc.). Strong experience in SQL for querying large datasets. Deep understanding of time series modeling (ARIMA, SARIMA, Prophet, etc.). Experience with feature selection, feature transformation, and data imputation techniques. Solid understanding of financial concepts such as ROI, risk/return, volatility, portfolio analysis, and pricing models. Exposure to risk modeling (credit scoring, stress testing, scenario analysis). Strong analytical and problem-solving skills with attention to detail. Experience with data visualization tools – Matplotlib, Seaborn, or Plotly. Ability to interpret model outputs and convey findings to both technical and non technical stakeholders. Excellent communication and collaboration skills. Preferred Qualifications: Bachelor’s or Master’s degree in Data Science, Statistics, Finance, Economics, Computer Science, or a related field. Experience working with financial time series datasets (e.g., stock prices, balance sheets, trading data). Understanding of regulatory frameworks and compliance in financial analytics. Familiarity with cloud platforms (AWS, GCP) is a plus. Experience working in agile teams. What We Offer: Competitive salary and performance incentives Onsite role at a modern office located in Okhla Vihar, New Delhi A collaborative and high-growth work environment Opportunities to work on real-world financial data challenges Exposure to cross-functional teams in finance, technology, and business strategy How to Apply: If you’re excited to work at the intersection of data science and finance, and want to be part of a dynamic team solving real-world financial challenges, we’d love to hear from you. Please send your resume, portfolio (if applicable), and a brief note about why you're a great fit to [your email/HR contact here]. Job Type: Full-time Pay: ₹600,000.00 - ₹1,200,000.00 per year Schedule: Morning shift Work Location: In person

Introduction At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk. Your Role And Responsibilities In the IBM Chief Information Office, you will be part of a dynamic team driving the future of AI and data science in large-scale enterprise transformations. We offer a collaborative environment where your technical expertise will be valued, and your professional development will be supported. Join us to work on challenging projects, leverage the latest technologies, and make a tangible impact on leading organisations. As a Data Scientist within IBM's Chief Information Office, you will support AI-driven projects across the enterprise. You will apply your technical skills in AI, machine learning, and data analytics to assist in implementing data-driven solutions that align with business goals. This role involves working with team members to translate data insights into actionable recommendations. Key Responsibilities Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Support the implementation and optimisation of AI-driven strategies per business stakeholder requirements. Help refine data-driven methodologies for transformation projects. Data Science and AI: Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyse complex datasets and generate actionable insights. Learn and utilise cloud platforms to ensure the scalability of AI solutions. Leverage reusable assets and apply IBM standards for data science and development. Project Support: Lead and contribute to various stages of AI and data science projects, from data exploration to model development. Monitor project timelines and help resolve technical challenges. Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs. Collaboration: Ensure alignment to stakeholders’ strategic direction and tactical needs. Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Contribute technical expertise to cross-functional teams. Preferred Education Master's Degree Required Technical And Professional Expertise Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree is strongly preferred Experience 5+ years of experience in data science, AI, or analytics with a focus on implementing data-driven solutions Experience with data cleaning, data analysis, A/B testing, and data visualization Experience with AI technologies through coursework or projects Technical Skills Proficiency in SQL and Python for performing data analysis and developing machine learning models Knowledge of common machine learning algorithms and frameworks: linear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch Experience with cloud-based platforms and data processing frameworks Understanding of large language models (LLMs) Familiarity with IBM’s watsonx product suite Familiarity with object-oriented programming Analytical Skills Strong problem-solving abilities and eagerness to learn Ability to work with datasets and derive insights Other Requirements Good communication skills, with the ability to explain technical concepts clearly Enthusiasm for learning and applying new technologies Strong project management skills, with the ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment. Successful completion of Coding Assessment Preferred Technical And Professional Experience Data Science specialized Show more Show less

1+ yrs in GenAI, NLP, RAG, LangChain, multi-modal models, LLM fine-tuning, MLOps (MLflow/Kubeflow), AI deployment (GPU/CPU), REST APIs, vector DBs (FAISS), Docker. Bonus: Cloud (AWS/GCP), CV (YOLO/OpenCV), Neo4j.

Purpose of Role In this role, The Candidate should be highly analytical with a knack for analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data. To help our company analyze trends to make better decisions. Build propensity models, customer segmentations, uplift models, campaign response models, risk, and fraud detection models. Also, integrate the models with the business processes and consuming systems via ML Ops processes. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to evaluate the effectiveness of different courses of action. Key Accountabilities Responsibilities will include but will not be restricted to : Create models as required by the business with a high degree of precision and recall. Model accuracy and stability are key accountabilities. Undertake preprocessing of structured and unstructured data and analyze large amounts of information to discover trends and patterns. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Technical Requirements (what) Proven experience of 3+ years as a Data Scientist. Post Graduate degree in Computer Science, Statistics, Engineering, Physics, Mathematics, Econometrics or MBA with a ML/DS focus. Knowledge of SQL and R or Python; familiarity with Scala & SPARK is an asset. Candidates with experience of working on AWS stack will be preferred, however this is not a compulsory requirement. Knowledge and experience in machine learning, optimization, statistical and data mining techniquesregression, simulation, clustering, decision trees, classification algos (bagging/boosting), neural networks. Desired Personal Qualities or Behavior Strong Analytical critical thinking skills and business acumen Strong commitment to professional development. Process Oriented and excellent time management skills. Ability to adapt to new situations and issues and to solve problems. Good organizational, communication, presentational and people skills - with the capability to communicate concisely and effectively equally well with fellow employees, non-technical colleagues and with members and/or customers alike Regards, Manikandaprabhu J linkedin.com/in/manikandaprabhu-j-8ab5b115b

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

Job Title: Data Scientist Key Skills: Machine Learning, Data Science, SQL, Python, NLP, AI Artificial intelligence, Deep Learning. Roles and Responsibilities: Work with large-scale data sets to extract actionable insights and deliver impactful business solutions. Utilize advanced quantitative techniques, statistical modeling, and machine learning to support key initiatives across the organization. Contribute to the development of capabilities in Big Data, Machine Learning, Digital, and FinTech domains to address complex business challenges. Collaborate with cross-functional teams to identify analytical opportunities and build scalable solutions. Design and implement predictive models and algorithms to forecast trends and detect patterns. Leverage deep learning techniques and distributed machine learning systems where applicable. Deliver high-quality analysis and present findings to senior stakeholders in a clear and actionable manner. Continuously evaluate new data science tools, techniques, and technologies to ensure innovation and efficiency. Experience Requirement: 3-5 years of hands-on experience in data science, machine learning, and advanced analytics. Background in leading global academic institutions, corporate innovation labs, or consulting analytics roles preferred. Proven experience in applying large-scale machine learning and deep learning models. Strong expertise in at least three of the following areas: Python & PySpark Predictive Modeling using Machine Learning Time Series Forecasting Pattern Mining/Detection Deep Learning Algorithms Exposure to distributed computing frameworks and systems for machine learning. Education: Any Post Graduation, Any Graduation.

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world! Job Description We are seeking a Data Scientist to develop next-generation Security Analytics products. You will work closely with engineers and product managers to prototype, design, develop, and optimize data-driven security solutions. As a Data Scientist, you will focus on consolidating and analysing diverse data sources to extract meaningful insights that drive product innovation and process optimization. The ideal candidate has a strong background in machine learning, especially in the Natural Language Processing. Responsibilities: Design, develop, and deploy Machine Learning models. Collaborate with Product Management and cross-functional stakeholders to define problem statements, develop solution strategies, and design scalable ML systems. Leverage Large Language Models (LLMs) to build GenAI capabilities to drive business impact. Create insightful data visualisations, technical reports, and presentations to communicate findings to technical and non-technical audiences. Deploy ML models in production and implement monitoring frameworks to ensure model performance, stability, and continuous improvement. Requirements: BS, MS, or Ph.D. in Computer Science, Statistics, or a related field. 2-5 years of experience in Machine Learning projects, including model development, deployment, and optimization. Deep understanding of ML algorithms, their mathematical foundations, and real-world trade-offs. Expertise in NLP techniques like Named Entity Recognition, Information Retrieval, Text classification, Text-to-Text Generation etc. Familiarity and working experience of GenAI applications, Experience with prompting, fine-tuning and optimizing LLMs. Knowledge of recent advancements and trends in GenAI, demonstrating a commitment to continuous learning in this rapidly evolving field. Hands-on experience with ML frameworks such as Scikit-Learn, TensorFlow, PyTorch, LangChain, vLLM etc. Strong programming skills in Python and/or Java. Experience in SQL, Pandas, and PySpark for efficient data manipulation. Familiarity with microservice architectures, CI/CD, MLOps best practices. Strong communication, problem-solving, and analytical skills; a collaborative team player. Nice to Have: Familiarity with distributed computing frameworks such as Hadoop, Spark, and OpenSearch. Published research in AI/ML in peer-reviewed journals or top conferences (e.g., NeurIPS, ICML, CVPR). Prior experience applying AI/ML to cybersecurity use cases. Basic proficiency in Unix/Linux environments for scripting and automation.

We are looking for a highly skilled and analytical Data Scientist to join our team. You will be responsible for analyzing large datasets to extract actionable insights, build predictive models, and support data-driven decision-making across the organization. The ideal candidate should be passionate about data, statistical analysis, and applying machine learning techniques to solve real-world business problems. Key Responsibilities: Collect, clean, and preprocess large datasets from multiple sources. Analyze complex data sets to identify patterns, trends, and opportunities. Design and implement machine learning models to solve business challenges. Communicate findings through data visualizations, dashboards, and reports. Collaborate with cross-functional teams (engineering, product, marketing) to implement data solutions. Monitor and maintain model performance and retrain when necessary. Stay updated on the latest developments in AI/ML and data science tools. Required Skills and Qualifications: Bachelors/Masters/Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related field. Strong proficiency in Python or R, along with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Experience with data querying languages such as SQL. Good understanding of statistical analysis, machine learning, and data mining techniques. Location: Remote- Bengaluru,Hyderabad,Delhi / NCR,Chennai,Pune,Kolkata,Ahmedabad,Mumbai

Data Scientist Job Description Position: Data Scientist Experience Level: [Junior/Mid-level] - 3-5 years 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 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 Show more Show less

Responsible for the development and implementation of predictive modeling algorithms and techniques to solve unmet needs, customer/business problems and optimize user experiences Conduct in-depth research to stay at the forefront of AI advancements, exploring opportunities to integrate predictive and generative AI models into our products and services. Predictive AI Modeling: Formulate problem statements and hypotheses for diverse business challenges (clinical, operational and business process optimization problems). Create Spark & Python code in Databricks to retrieve data from across disparate data sources and create new innovative actionable insights. Prepare data for effective model training. Develop, train, and evaluate predictive AI models using various tailored to specific problems. Continuously refine and optimize models for performance, scalability, and efficiency. Deploy models into production environments and monitor their performance. Generative AI Modeling: Identify opportunities where generative AI models can add value Explore and experiment with generative models (e.g., GPT) suitable for the chosen application. Train and evaluate generative models, fine-tuning parameters for desired outputs. Integrate generative models into production workflows or applications. Work with datasets of varying degrees of size and complexity including both structured and unstructured data Implements batch and real-time model scoring to drive actions Develop sophisticated visualization of analysis output for various users through JavaScript based frameworks React/Angular/VueJs etc. or using OOPS C#, Java

Experience: 3 to 4 Years Y Location: Mumbai Openings: 1 Job description: We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions. Requirement: Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Skills: Proven experience as a Data Scientist. Experience in data mining Understanding of machine-learning and operations research Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Analytical mind and business acumen Strong math skills (e.g. statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred Benefits: Work from home, flexible working hours Skills development and training opportunities, company-paid certifications Opportunities to advance career An open-minded and inclusive company culture Role: Data Scientist Department: Software Engineer Education: B.Tech

You will lead the development of predictive machine learning models for Revenue Cycle Management analytics, along the lines of: 1 Payer Propensity Modeling - predicting payer behavior and reimbursement likelihood 2 Claim Denials Prediction - identifying high-risk claims before submission 3 Payment Amount Prediction - forecasting expected reimbursement amounts 4 Cash Flow Forecasting - predicting revenue timing and patterns 5 Patient-Related Models - enhancing patient financial experience and outcomes 6 Claim Processing Time Prediction - optimizing workflow and resource allocation Additionally, we will work on emerging areas and integration opportunities—for example, denial prediction + appeal success probability or prior authorization prediction + approval likelihood models. You will reimagine how providers, patients, and payors interact within the healthcare ecosystem through intelligent automation and predictive insights, ensuring that providers can focus on delivering the highest quality patient care. VHT Technical Environment 1 Cloud Platform: AWS (SageMaker, S3, Redshift, EC2) 2 Development Tools: Jupyter Notebooks, Git, Docker 3 Programming: Python, SQL, R (optional) 4 ML/AI Stack: Scikit-learn, TensorFlow/PyTorch, MLflow, Airflow 5 Data Processing: Spark, Pandas, NumPy 6 Visualization: Matplotlib, Seaborn, Plotly, Tableau Show more Show less

We are looking for a highly skilled and motivated Data Scientist with deep experience in building recommendation systems to join our team. This role demands expertise in deep learning, embedding-based retrieval, and the Google Cloud Platform (GCP). You will play a critical role in developing intelligent systems that enhance user experiences through personalized content discovery. Key Responsibilities: Develop, train, and deploy recommendation models using two-tower, multi-tower, and cross-encoder architectures . Generate and utilize text/image embeddings (e.g., CLIP , BERT , Sentence Transformers ) for content-based recommendations. Design semantic similarity search pipelines using vector databases (FAISS, ScaNN, Qdrant, Matching Engine). Create and manage scalable ML pipelines using Vertex AI , Kubeflow Pipelines , and GKE . Handle large-scale data preparation and feature engineering using Dataproc (PySpark) and Dataflow . Implement cold-start strategies leveraging metadata and multimodal embeddings. Work on user modeling , temporal personalization , and re-ranking strategies . Run A/B tests and interpret results to measure real-world impact. Collaborate with cross-functional teams (Engineering, Product, DevOps) for model deployment and monitoring. Must-Have Skills: Strong command of Python and ML libraries: pandas, polars, numpy, scikit-learn, matplotlib, tensorflow, torch, transformers. Deep understanding of modern recommender systems and embedding-based retrieval . Experience with TensorFlow , Keras , or PyTorch for building deep learning models. Hands-on with semantic search , ANN search , and real-time vector matching . Proven experience with Vertex AI , Kubeflow on GKE , and ML pipeline orchestration. Familiarity with vector DBs such as Qdrant , FAISS , ScaNN , or Matching Engine on GCP. Experience in deploying models via Vertex AI Online Prediction , TF Serving , or Cloud Run . Knowledge of feature stores , embedding versioning , and MLOps practices (CI/CD, monitoring). Preferred / Good to Have: Experience with ranking models (e.g., XGBoost , LightGBM , DLRM ) for candidate scoring. Exposure to LLM-powered personalization or hybrid retrieval systems. Familiarity with streaming pipelines using Pub/Sub , Dataflow , Cloud Functions . Hands-on with multi-modal retrieval (text + image + tabular data). Strong grasp of cold-start problem solving , using enriched metadata and embeddings. GCP Stack You’ll Work With: ML & Pipelines: Vertex AI, Vertex Pipelines, Kubeflow on GKE Embedding & Retrieval: Matching Engine, Qdrant, FAISS, ScaNN, Milvus Processing: Dataproc (PySpark), Dataflow Ingestion & Serving: Pub/Sub, Cloud Functions, Cloud Run, TF Serving CI/CD & Automation: GitHub Actions, GitLab CI, Terraform Show more Show less

Note: Gaming, E-Commerce, Fintech, EdTech or any B2C experience is must. Responsibilities: • Develop an in-depth understanding of user journeys and generate data driven insights & recommendations to help product and customer success teams in meticulous decision-making. • Define and analyze key product data sets to understand customer and product behavior. • Work with stakeholders throughout the organization to identify opportunities for leveraging data to identify areas of growth and build strong data backed business cases around the same. • Perform statistical analysis/modelling on data and uncover hidden data patterns and correlations. • Perform feature engineering and develop and deploy predictive models/algorithms. • Coordinate with different teams to implement and deploy AI/ML driven models. • Conduct ad-hoc analysis around product areas for growth hacking and produce consumable reports for multiple business stakeholders. • Develop processes and tools to monitor and analyze model performance and data accuracy. Technical Skills : • At least 2-4 years of experience of working with real-world data and building statistical models. • Hands-on experience of programming with Python, including working knowledge of packages like Pandas, Numpy, SciPy, Scikit-Learn,Seaborn,Plotly etc. • Hands-on knowledge of SQL and Excel. • Deep understanding of key supervised and unsupervised ML algorithms – should be able to explain what is happening under the hood and their real-world advantages/drawbacks. • Strong foundation of statistics and probability theory. • Knowledge of advanced statistical techniques and concepts (properties of distributions, statistical tests, simulations, Markov chain etc.) and experience with applications. Other Skills: • Preferred Domain Experience: Gaming, E-Commerce, or any B2C experience. • Ability to break a problem into smaller chunks and design solution accordingly. • Ability to dive deeper into data, ask right questions, analyze with statistical methods and generate insights. • Ability to write modular, clean and well-documented code along with crisp design documents. • Strong communication and presentation skills. Show more Show less

Chicmic Studios Job Role: Data Scientist Experience Required: 3+ Years Skills Required: Data Science, Python, Pandas, Matplotlibs Job Description: We are seeking a Data Scientist with strong expertise in data analysis, machine learning, and visualization. The ideal candidate should be proficient in Python, Pandas, and Matplotlib, with experience in building and optimizing data-driven models. Some experience in Natural Language Processing (NLP) and Named Entity Recognition (NER) models would be a plus. Roles & Duties: Analyze and process large datasets using Python and Pandas. Develop and optimize machine learning models for predictive analytics. Create data visualizations using Matplotlib and Seaborn to support decision-making. Perform data cleaning, feature engineering, and statistical analysis. Work with structured and unstructured data to extract meaningful insights. Implement and fine-tune NER models for specific use cases (if required). Collaborate with cross-functional teams to drive data-driven solutions Required Skills & Qualifications: Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, etc.). Experience in data analysis, statistical modeling, and machine learning. Hands-on expertise in data visualization using Matplotlib and Seaborn. Understanding of SQL and database querying. Familiarity with NLP techniques and NER models is a plus. Strong problem-solving and analytical skills. Contact: 9875952836 Office Address: F273, Phase 8B industrial Area, Mohali, Punjab. Job Type: Full-time Schedule: Day shift Monday to Friday Work Location: In person

Data Scientist Location: Pune (Baner) - Onsite, with possible options of Hybrid Contract: Full-time Salary: Competitive depending on experience. About Protect Group: Protect Group, established in 2016, is an innovative global technology leader enhancing customer experiences and revenue opportunities for businesses through AI-driven solutions. With over 400 partners across 75+ countries, we provide an intuitive widget that seamlessly integrates with online sales platforms, dramatically improving customer satisfaction and boosting ancillary revenue. Our culture is defined by ambition, innovation, and excellence—our Protect People embody these values, making a significant impact across sectors including travel, hospitality, transportation, events, and financial services. Role Overview: We are seeking a talented Data Scientist to play a central role in our global data team. You'll lead analytical initiatives, driving experimentation and optimisation in pricing strategies, significantly influencing our product insights and commercial decision-making. You’ll leverage your expertise in advanced analytics, machine learning, and statistical modelling to derive actionable insights from complex datasets. Key Responsibilities: Analyse large online datasets to uncover valuable insights into consumer behaviour, price elasticity, and revenue optimisation. Collaborate with Product, Technology, Marketing and Sales teams. Contribute insights towards the development and refinement of predictive models used to forecast demand and optimise pricing and content. Create clear and intuitive dashboards and visualisations to communicate insights effectively, facilitating strategic business decisions. Act as a data analytics specialist, encouraging a culture of informed, data-driven decision-making throughout the organisation. Required Skills & Experience: Extensive experience conducting data analysis within relevant sectors. Proficiency in SQL, Python, and data science libraries such as sklearn, XGBoost, and CatBoost. Experience with Azure, MLOps, and API frameworks. Strong understanding of statistical methods, probability theory, pricing optimisation, and elasticity modelling. Expertise with data visualisation tools (e.g., Tableau). Exceptional analytical and creative problem-solving skills, with meticulous attention to detail. Excellent communication skills—capable of articulating complex analytical findings clearly and effectively. Adaptable, innovative, and self-driven, comfortable in fast-paced, agile environments. Why Protect Group? Join a rapidly scaling tech company revolutionising global industries. Lead impactful analyses that directly shape strategic decisions and commercial outcomes. Work within a talented team dedicated to innovation and continuous improvement. Ready to Join Us? If you're passionate about analytics and keen to drive meaningful insights, we want to hear from you! Submit your CV today and share how you'll contribute to Protect Group’s continued success. ***Please note we will be considering those who are currently residing in Pune first. Show more Show less

Seeking a Lead Data Scientist to build AI-driven solutions for clinical decision support, chronic disease management, and patient risk prediction. Requires 8+ years in data science, ML/DL expertise & healthcare AI experience. US Healthcare exp must