1397 Data Scientist Jobs - Page 13

Jubilant Biosys is looking for Data Scientist- JVL to join our dynamic team and embark on a rewarding career journey Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques 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

Location- Hyderabad Job model - Hybrid Purpose of the job We are looking for a highly analytical and detail-oriented Data Scientist to join our Data Quality Management team. This role will focus on ensuring the accuracy, completeness, and reliability of data ingested from SAP systems and logistics carriers. You will play a critical role in enhancing the integrity of our transportation visibility platform by identifying data issues, implementing quality controls, and collaborating with cross-functional teams to resolve data discrepancies. At dsm-firmenich, being a force for good is not optional. Diversity, Equity & Inclusion is a shared responsibility woven into our daily work to not only benefit our People, Cusotmers & Communities but also drive business value. Equal access to opportunities is a given, belonging is a shared feeling, authencity is celebrated. Key Responsibilities Design and implement data quality frameworks and monitoring systems for SAP and carrier data pipelines. Analyze large datasets to detect anomalies, inconsistencies, and gaps in data quality. Experience working on TransVoyant. Develop automated data validation and cleansing routines using Python, SQL, and other tools . Create dashboards and reports to communicate data quality metrics and trends. Collaborate with functional experts, business analysts, and domain experts to understand data flows and business rules. Work closely with Logistics operations, business units, SAP data entry functions, and carrier integration partners to resolve data issues at the source.Contribute to the development of data governance policies and best practices. We bring The opportunity to work for a company where sustainability is much more than a claim and is core to our strategy and purpose A flexible work environment that empowers people to take accountability for their work and own the outcome An eagerness to be one team and learn from each other to bring progress to life and create a better future Barrier-free communities within our organization where every employee is equally valued and respected - regardless of their background, beliefs, or identity A culture that prioritizes safety and well-being, both physically and mentally A space to grow by encouraging and supporting curiosity and an open mindset You bring Bachelor s or master s degree in data science, Computer Science, Information Systems, or a related field.5+ years of experience in data science, data engineering, or data quality roles. Strong experience working with SAP data structures (e.g., SD, MM, WM modules) and carrier logistics data (e.g., EDI, shipment tracking). Proficiency in SQL, Python, and data visualization tools (e.g., Power BI, Tableau).Experience with real-time data processing and streaming technologies.Knowledge and experience with SQL and cloud database systems such as AWS or CGP Comfortable using Microsoft Excel to analyze and summarize data, including graphs, charts, formulas, functions, solvers, and regression analysis. Able to identify trends, patterns, and outliers in logistics data and form insights and recommendations.Ability to work in a fast-paced environment while managing multiple projects/priorities simultaneously Excellent attention to detail, problem-solving, organizational and prioritization skills.Strong communication skills to collaborate effectively with cross-functional teams and present findings to both technical and non-technical audiences.Knowledge of supply chain, transportation and logistics operations is a plus

We are looking for a Network Security Engineer with hands-on experience in managing and securing enterprise networks. Must be proficient in network infrastructure (LAN/WAN), Cisco switches, Zscaler (ZIA & ZPA), SDWAN, and VPN. Required Candidate profile Network monitoring, security, and troubleshooting Implement and operate Zscaler solutions Network asset documentation and compliance Ensure seamless connectivity and performance reporting

Job Title: Data Scientist Location : Gurgaon Department : Data & Analytics Experience :5+ Employment Type : Full-time About Cars24 Cars24 is revolutionizing the way used cars are bought and sold in India and abroad. Our platform leverages data and technology to provide a seamless car ownership experience. We are driven by insights and fuelled by curiosity, and we aim to transform every part of the auto ecosystemfrom buying to financing to servicing. Role Overview As a Data Scientist at Cars24, you will be part of the core data team responsible for building scalable, data-driven solutions that impact millions of customers. You will work closely with product, engineering, and business teams to solve complex problems using machine learning, statistical analysis, and modeling techniques. Key Responsibilities Collaborate with cross-functional teams to understand business problems and translate them into data science solutions. Build and deploy predictive models using techniques such as regression, classification, clustering, recommendation systems, etc. Analyze large-scale structured and unstructured data to generate insights and guide business decisions. Design and implement A/B tests and causal inference models to measure the impact of changes. Monitor and improve the performance of deployed models continuously. Present analytical findings to senior leadership in a clear, concise manner. Requirements Bachelor’s/Master’s degree in Computer Science, Statistics, Mathematics, or a related field. 5+ years of hands-on experience in a data science or analytics role. Strong programming skills in Python or R; familiarity with data manipulation libraries (e.g., pandas, NumPy). Experience with SQL and working knowledge of databases. Proven experience in machine learning frameworks (scikit-learn, XGBoost, TensorFlow, etc.). Familiarity with data visualization tools like Tableau, Power BI, or matplotlib/seaborn. Experience with cloud platforms (AWS/GCP) is a plus. Nice-to-Have Experience in the automotive or e-commerce domain. Exposure to real-time data processing or large-scale data pipelines. Knowledge of MLOps tools and best practices. What We Offer A fast-paced, data-first environment. Opportunity to work on high-impact projects that affect millions of customers. Competitive salary with performance-based incentives. Learning budgets, flexible work options, and a collaborative culture. Role & responsibilities Preferred candidate profile

Main Responsibilities are: Understand, Define and Articulate the art of possible of AI/ML/MLOps solutions to Business heads. Hands-on in Designing, Development and Production roll-out of AI / ML/ MLOps solutions using data science framework and methodologies (CRISP-DM and TDSP) for complex problems. Must have thorough understanding and hands-on experience of using Statistical Modeling, Classical ML, Bigdata Analytics, Deep Neural Networks, Edge AI, MLOps, Generative AI •. Should have good understanding of functional domain with data, data pipelines, data storage, data lineage and quality data management. Data Analysis and Insights Generation - Perform exploratory data analysis (EDA) on large datasets from manufacturing processes, supply chain, and other verticals to uncover trends, anomalies, and actionable insights. Identify key performance indicators (KPIs) and metrics to monitor operational efficiency, sustainability goals, and process improvements. Write efficient, reusable, and well-documented code in Python for data processing, analysis, and automation of workflows. Leverage the AWS ecosystem (e.g., S3, Redshift, Lambda, Glue) for data storage, processing, and integration. Utilize statistical and machine learning techniques to solve business problems. Collaborate with data scientists, engineers, and plant managers to translate business needs into technical solutions. Coordinate with vendors to integrate third-party tools or datasets as required. Work on strategic innovative data science projects (Generative AI/ Video Analytics/ Prescriptive Analytics/ Diagnostic Analytics/ Bigdata Analytics/ Time series Analytics etc.) with transformative vision. Work with Business Head and CFT to understand their requirements, help them understand the Art of possible, and develop innovative AI solutions. Also provide mentorship and guidance to junior Data analysts and Data Science Interns in architecting solutions and developing them.

Data Scientist (1–2 yrs exp) We’re looking for a Data Scientist with strong skills in Python, ML (scikit-learn/TensorFlow/Keras), Azure AI/ML, and data analysis.

Job Title: Data Scientist – Data and Artificial Intelligence Location: Hyderabad Job Type: Full-time Company Description Qylis is a leading provider of innovative IT solutions, specializing in Cloud, Data & AI, and Cyber Security. We help businesses unlock the full potential of these technologies to achieve their goals and gain a competitive edge. Our unique approach focuses on delivering value through bespoke solutions tailored to customer specific needs. We are driven by a customer-centric mindset and committed to delivering continuous value through intellectual property accelerators and automation. Our team of experts is passionate about technology and dedicated to making a positive impact. We foster an environment of growth and innovation, constantly pushing the boundaries to deliver exceptional results. Website: www.qylis.com, LinkedIn: www.linkedin.com/company/qylis Job Summary We are an engineering organization collaborating directly with clients to address challenges using the latest technologies. Our focus is on joint code development with clients' engineers for cloud-based solutions, accelerating organizational progress. Working with product teams, partners, and open-source communities, we contribute to open source, striving for platform improvement. This role involves creating impactful solution patterns and open-source assets. As a team member, you'll collaborate with engineers from both teams, applying your skills and creativity to solve complex challenges and contribute to open source, while fostering professional growth. Responsibilities Researching and developing production-grade models (forecasting, anomaly detection, optimization, clustering, etc.) for global cloud business by using statistical and machine learning techniques. Manage large volumes of data, and create new and improved solutions for data collection, management, analyses, and data science model development. Drive the onboarding of new data and the refinement of existing data sources through feature engineering and feature selection. Apply statistical concepts and cutting-edge machine learning techniques to analyze cloud demand and optimize data science model code for distributed computing platforms and task automation. Work closely with other data scientists and data engineers to deploy models that drive cloud infrastructure capacity planning. Present analytical findings and business insights to project managers, stakeholders, and senior leadership and keep abreast of new statistical / machine learning techniques and implement them as appropriate to improve predictive performance. Oversees the analysis of data and leads the team in identifying trends, patterns, correlations, and insights to develop new forecasting models and improve existing models. Leads collaboration among team and leverages data to identify pockets of opportunity to apply state-of-the-art algorithms to improve a solution to a business problem. Consistently leverages knowledge of techniques to optimize analysis using algorithms. Modifies statistical analysis tools for evaluating Machine Learning models. Solves deep and challenging problems for circumstances such as when model predictions are not correct, when models do not match the training data or the design outcomes when the data is not clean when it is unclear which analyses to run, and when the process is ambiguous. Provides coaching to team members on business context, interpretation, and the implications of findings. Interprets findings and their implications for multiple businesses, and champions methodological rigour by calling attention to the limitations of knowledge wherever biases in data, methods, and analysis exist. Generates and leverages insights that inform future studies and reframe the research agenda. Informs both current business decisions by implementing and adapting supply-chain strategies through complex business intelligence. Qualifications M.Sc. in Statistics, Applied Mathematics, Applied Economics, Computer Science or Engineering, Data Science, Operations Research or similar applied quantitative field 7+ years of industry experience in developing production-grade statistical and machine learning code in a collaborative team environment. Prior experience in machine learning using R or Python (scikit / numpy / pandas / statsmodel). Prior experience working on Computer Vision Project is an Add on Knowledge on AWS and Azure Cloud. Prior experience in time series forecasting. Prior experience with typical data management systems and tools such as SQL. Knowledge and ability to work within a large-scale computing or big data context, and hands-on experience with Hadoop, Spark, DataBricks or similar. Excellent analytical skills; ability to understand business needs and translate them into technical solutions, including analysis specifications and models. Experience in machine learning using R or Python (scikit / numpy / pandas / statsmodel) with skill level at or near fluency. Experience with deep learning models (e.g., tensorflow, PyTorch, CNTK) and solid knowledge of theory and practice. Practical and professional experience contributing to and maintaining a large code base with code versioning systems such as Git. Creative thinking skills with emphasis on developing innovative methods to solve hard problems under ambiguity. Good interpersonal and communication (verbal and written) skills, including the ability to write concise and accurate technical documentation and communicate technical ideas to non-technical audiences. Skills:- Python, FastAPI, Large Language Models (LLM) tuning and MySQL Show more Show less

Responsibilities : Manipulate and preprocess structured and unstructured data to prepare datasets for analysis and model training. Utilize Python libraries like PyTorch, Pandas, and NumPy for data analysis, model development, and implementation. Fine-tune large language models (LLMs) to meet specific use cases and enterprise requirements. Collaborate with cross-functional teams to experiment with AI/ML models and iterate quickly on prototypes. Optimize workflows to ensure fast experimentation and deployment of models to production environments. Implement containerization and basic Docker workflows to streamline deployment processes. Write clean, efficient, and production-ready Python code for scalable AI solutions. Good to Have: Exposure to cloud platforms like AWS, Azure, or GCP. Knowledge of MLOps principles and tools. Basic understanding of enterprise Knowledge Management Systems. Ability to work against tight deadlines. Ability to work on unstructured projects independently. Strong initiative and self-motivated Strong Communication & Collaboration acumen. Required Skills: Proficiency in Python with strong skills in libraries like PyTorch, Pandas, and NumPy. Experience in handling both structured and unstructured datasets. Familiarity with fine-tuning LLMs and understanding of modern NLP techniques. Basics of Docker and containerization principles. Demonstrated ability to experiment, iterate, and deploy code rapidly in a production setting. Strong problem-solving mindset with attention to detail. Ability to learn and adapt quickly in a fast-paced, dynamic environment.

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. Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote

Job Title: Senior Data Scientist Location: Hyderabad, India Experience Level: 3+ years Job Summary We are seeking a highly skilled Senior Data Scientist to join our dynamic team. The ideal candidate will have expertise in Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Computer Vision, Transformers, Retrieval-Augmented Generation (RAG), and Generative AI (LLMs, Diffusion Models, etc.). Additionally, proficiency in Prompt Engineering is required. The role also demands secondary skills in Django, Database Management (MySQL, NoSQL), and REST API development. Required Skills & Qualifications  Programming: Proficiency in Python.  Machine Learning & Deep Learning: Strong experience in developing and deploying ML/DL models.  NLP: Expertise in working with NLP frameworks such as Hugging Face Transformers, SpaCy, NLTK, etc.  Computer Vision: Experience with OpenCV, TensorFlow, PyTorch, or other relevant frameworks.  Generative AI: Hands-on experience with LLMs, diffusion models, GANs, VAEs, and other generative techniques.  Transformers & RAG: Strong understanding of transformer architectures (BERT, GPT, LLAMA, etc.) and retrieval-augmented generation methods.  Prompt Engineering: Ability to design, optimize, and implement effective prompts for AI applications.  Django: Experience in building and maintaining backend services and APIs.  Database Management: Proficiency in MySQL and NoSQL databases for efficient data handling.  REST API Development: Experience in developing and integrating APIs for AI powered applications.  Cloud & Deployment: Knowledge of cloud platforms (AWS, GCP, Azure) and deployment tools like Docker & Kubernetes. Skills:- Natural Language Processing (NLP), Deep Learning, Large Language Models (LLM) tuning and Computer Vision Show more Show less

Develop, test and support future-ready data solutions for customers across industry verticals. Develop, test, and support end-to-end batch and near real-time data flows/pipelines. Demonstrate understanding of data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies. Communicates risks and ensures understanding of these risks. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Graduate with a minimum of 6+ years of related experience required. Experience in modelling and business system designs. Good hands-on experience on DataStage, Cloud-based ETL Services. Have great expertise in writing TSQL code. Well-versed with data warehouse schemas and OLAP techniques. Preferred technical and professional experience Ability to manage and make decisions about competing priorities and resources. Ability to delegate where appropriate. Must be a strong team player/leader. Ability to lead Data transformation projects with multiple junior data engineers. Strong oral written and interpersonal skills for interacting throughout all levels of the organization. Ability to communicate complex business problems and technical solutions.

Role Overview: As a Data Scientist within IBM's Chief Analytics 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 optimization 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 analyze complex datasets and generate actionable insights. Learn and utilize 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. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Education: Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree strongly preferred Experience: 5+ yearsof 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 frameworkslinear 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 : 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 Advanced degree strongly preferred

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. Show more Show less

Work with broader team to build, analyze and improve the AI solutions. You will also work with our software developers in consuming different enterprise applications Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services. Proficient in Python with focus on Data Analytics Packages. Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions. Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines. Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models Preferred technical and professional experience Experience with conversation analytics. Experience with cloud technologies Experience with data exploration tools such as Tableu

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.