Responsibilities • Develop and implement advanced market risk models to monitor key risk factors such as volatility, liquidity, VaR• Conduct stress tests and scenario analyses to evaluate the potential impact of extreme market events on client portfolio• Prepare key reports for senior management, regulators and internal departments, ensuring data analysis supports decision-making processes.• Continuously monitor and update reports to reflect changes in market conditions, risk exposures, and portfolio performance.• Partner with internal teams to ensure that risk management processes are integrated into everyday operations and decision-making Qualifications: B.E/B.Tech from IITs/VIT/BITS or any top tier institution Experience: 5 - 8 years Functional Competencies: <ul><li>Strong knowledge of Capital Markets and Derivatives Products</li><li>Stay updated on regulatory changes and requirements related to derivatives, institutional trading, custody, clearing and settlement processes</li><li>Experience with risk management tools and software for analyzing, tracking and reporting risk exposures.</li><li>Proficient in MS Office including Excel and PowerPoint, with strong skills in data analysis and presentation creation.</li><li>Knowledge of programming language is a plus</li></ul> Behavioral Competencies: <ul><li>Excellent communications skills (both written and spoken)</li></ul>• Analytical ability and presentation skills• Go-getter, meticulous, achievement oriented, dependable, ability to lead a team, willing to stretch and lear

Job Title: Data Scientist ( Team Lead ) Location: Mumbai (Andheri East)Responsibilities:<ul><li>Identify valuable data sources and automate data collection processes.</li><li>Pre-process structured and unstructured data for analysis.</li><li>Analyze large datasets to discover trends, patterns, and insights.</li><li>Build and implement predictive models and machine learning algorithms.</li><li>Develop ensemble models to improve accuracy and performance.</li><li>Present insights using data visualization techniques for actionable decision-making.</li><li>Propose solutions and strategies to address business challenges.</li><li>Collaborate with engineering and product teams for successful execution.</li><li>Lead and mentor a team of data scientists and analysts, driving team performance and project success.</li></ul>Requirements & Skills:<ul><li>4+ years of proven experience as a Data Scientist or Data Analyst.</li><li>Must have experience in leading and mentoring teams.</li><li>Strong expertise in data mining, machine learning, and operations research.</li><li>Proficiency in R, SQL, and Python; knowledge of Scala, Java, or C++ is a plus.</li><li>Experience with BI tools (e.g., Tableau) and data frameworks (e.g., Hadoop).</li><li>Analytical mindset with solid math skills (statistics, algebra, etc.).</li><li>Problem-solving aptitude with strong business acumen.</li><li>Excellent communication, presentation, and interpersonal skills.</li><li>BSc/BA in Computer Science, Engineering, or related field; graduate degree preferred.</li></ul>

<ul><li>MS in a discipline such as Statistics, Applied Mathematics, Computer Science, Data Science, or others with an emphasis or thesis work on one or more of the following areas: statistics/science/engineering, data analysis, machine learning, computational geometry, and image processing</li><li>.5+ years related, professional experience.</li><li>Knowledge of data mining and analytic methods such as regression, classification, clustering, association rules, decision trees, Bayesian network analysis, etc. expert-level expertise in one or more of these areas</li><li>Proficiency in statistical analysis packages and associated scripting languages such as Python, R, Matlab, SAS, etc. </li><li>Programming experience with SQL, shell script, Python, etc</li><li>Knowledge of and ideally some experience with Cloud platforms such as AWS, for working with big data in Hadoop and/or Spark for data extraction and data prep for analysis</li><li>Experience with and demonstrated capability to effectively interact with both internal and external customer executives, technical and non-technical to explain the uses and value of predictive systems and techniques</li></ul> Demonstrated proficiency with understanding, specifying, and explaining predictive modeling solutions and organizing teams of other data scientists and engineers to execute projects delivering those solutions• Development experience with Python • Development experience with Docker, Kubernetes, Cloud-based app development • Development experience with GIS data • Development experience with Relational Database/ NoSQL Database<li></li>

Company DescriptionFinzarc is a Gen-AI-first IT Services business located in Jaipur/ Mumbai. We specialize in solving problems using GenAI expertise in Web Apps & Process Automation, Data Analytics Solutions & Advanced ML Products, and Digital Consulting. Our solutions offer better value, blazing-quick turnaround time, and cost-effectiveness compared to industry standards. Industry: FMCGLocation: Mumbai Role DescriptionThis is a full-time on-site role for a Data Scientist at Finzarc in Mumbai. The Data Scientist will be responsible for data analysis, data visualization, and creating advanced machine learning products. Day-to-day tasks will include interpreting data, analyzing results, developing data models, and creating algorithms to extract insights. Qualifications<ul><li>Python Coding Exp: 2yrs minimum</li><li>Data Science, Statistics, and Data Analytics skills</li><li>Data Visualization and Data Analysis abilities</li><li>Proficiency in creating advanced machine learning products</li><li>Strong analytical and problem-solving skills</li><li>Knowledge of statistical tools and techniques</li></ul>

As a Data Scientist you will be responsible for : <ul><li>Data analysis and preprocessing: Clean, validate, and analyze large datasets to identify patterns, trends, and insights that can be used to drive the development of AI models.</li><li>Model development: Design, develop, and implement machine learning algorithms and statistical models to solve complex business problems.</li><li>API development: Understand API development, specifically using FastAPIs in Python, to create APIs for model deployment and integration with other systems or applications.</li><li>GenAI-based models: Understand and explore GenAI-based models to enhance existing AI models and explore their potential applications across different domains.</li><li>Collaborative problem-solving: Work closely with cross-functional teams, including software engineers, product managers, and domain experts to develop innovative AI solutions that address specific business requirements.</li><li>AI technique research: Stay up-to-date with the latest advancements in the field of AI, including deep learning, natural language processing, and computer vision, and explore their potential applications to enhance existing AI models</li></ul> To be succesful in this role you must have : <ul><li>Programming skills: Proficiency in programming languages such as Python and R, and experience with data manipulation libraries (e.g., pandas, NumPy) and machine learning frameworks (e.g., TensorFlow).</li><li>Statistical knowledge: Strong understanding of statistical concepts and methodologies such as regression, clustering, hypothesis testing, and time series analysis.</li><li>GenAI-based models: Understanding and experience with GenAI-based models, exploring their potential applications, and incorporating them into AI models when appropriate</li><li>Data analysis and preprocessing: Clean, validate, and analyze large datasets to identify patterns, trends, and insights that can be used to drive the development of AI models.</li><li>Model development: Design, develop, and implement machine learning algorithms and statistical models to solve complex business problems.</li><li>API development: Understand API development, specifically using FastAPIs in Python, to create APIs for model deployment and integration with other systems or applications.</li><li>GenAI-based models: Understand and explore GenAI-based models to enhance existing AI models and explore their potential applications across different domains.</li></ul> Education: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.Certification: Certification in cloud technologies especially Azure open AI would be good to have

MSR Cosmos Group is looking for a Data Scientist-Artificial Intelligence for a Short Term Assignment at Mumbai location; Job Description: <ul><li>Strong programming skills in Java and Python are essential, with 8+ years of experience.</li><li>Proven experience in developing and deploying use cases involving Large Language Models (LLMs), with a focus on document extraction and processing.</li><li>Expertise in driving and developing scalable AI models to enhance efficiency.</li><li>Collaborate closely with investment professionals to design, develop, and deploy AI-driven solutions.</li><li>Build integrations within the existing technology stack to enhance system capabilities.</li><li>Hands-on experience with Python and CI/CD tools, with familiarity in Generative AI (Gen AI) and Natural Language Processing (NLP) techniques. Proven track record of deploying models into real-world applications, including successful small-scale POCs and pilots.</li><li>We are looking for an individual with strong collaboration and communication skills, who takes initiative and demonstrates a high degree of ownership and responsibility.</li></ul> Role Type: ContractWork Mode: Work from OfficeLocation: Mumbai

JOB DESCRIPTION Summary/Objective: House of Spices (India) is seeking a Senior Data Scientist who will be a key player in driving our organization's data science initiatives, leveraging advanced analytics, machine learning, and AI technologies to generate actionable insights and support strategic decision-making. The role requires a blend of technical expertise and business acumen, with hands-on responsibilities in developing predictive models, working with large language models (LLMs), natural language processing (NLP), and generative AI. This role involves working closely with data engineers, BI developers, and business stakeholders, primarily utilizing the Microsoft Azure platform to deliver cutting-edge solutions. Essential Functions Advanced Analytics & Data Science:Lead the design, development, and deployment of advanced analytics models to solve complex business problems.Develop predictive models and machine learning algorithms to forecast trends, optimize processes, and drive business outcomes.Apply statistical techniques and data mining methods to extract meaningful insights from large datasets. Machine Learning & AI:Implement and optimize machine learning models, including supervised, unsupervised, and reinforcement learning techniques.Work with large language models (LLMs), NLP, and generative AI to develop innovative solutions, such as chatbots, recommendation engines, and automated content generation.Monitor model performance, retrain models as needed, and ensure models are scalable and production-ready. Data Strategy & Business Insights:Collaborate with business stakeholders to identify key challenges and opportunities where data science can provide impactful solutions.Translate complex data analyses into clear, actionable insights that drive strategic decisions across the organization. Azure Data Science & AI Tools:Leverage Microsoft Azure services (e.g., Azure Machine Learning, Azure Cognitive Services, Azure Databricks) to build and deploy data science solutions.Utilize Azure Data Lake, Azure Synapse Analytics, and other data services to manage and process large datasets efficiently.Stay updated with the latest advancements in Azure AI tools and integrate them into the organization’s data science practices. Collaboration & Integration:Work closely with data engineers to ensure seamless integration of data pipelines and models within the Azure ecosystem.Partner with BI developers to embed advanced analytics and predictive models into business intelligence tools. Technical Leadership & Mentorship:Provide technical guidance and mentorship to junior data scientists and analysts, fostering a culture of continuous learning and innovation.Stay current with industry trends and emerging technologies, driving the adoption of best practices within the team. Competencies <ol><li>Teamwork & Collaboration.</li><li>Communication.</li><li>Consultation. </li><li>Ethical Practice.</li><li>Relationship Management.</li><li>Analytical & Problem Solving </li><li>Attention to detail</li><li>High Quality Standards</li><li>Adaptability</li><li>Project Management</li></ol>

MavenMagnet is an AI-based data analytics company transforming insights generation by delivering in-depth analysis and discovery with significant time and cost efficiency as compared to traditional alternatives. We use thousands of digitally-sourced data points - news, blogs, forums, communities, chat rooms, product reviews, social networks, POS, product sales & support, and proprietary client datasets - to provide our clients a seamless strategic perspective by delivering qualitative insights on a quantitative scale, while eliminating respondent bias and research fatigue. A rich combination of AI and machine learning technology and strategic human expertise helps us deliver actionable insights in near real-time. We are looking for a creative Data Scientist to join our team! An extremely important role for our success. As a member of the development team, your responsibilities will include transfer learning and training ML models. Ideal candidates will have a strong data science background and can help us build in-house ML models. You'll have the opportunity to work with large-scale data sets and turn your insights into real products. You'll be an integral part in how we understand user behavior, identify and recommend product opportunities, which are all critical to how we can scale our ever-growing user base.  Responsibilities:<ul><li>Modifies and analyzes complex data sets using analytics techniques such as machine learning, statistical analysis, Natural Language Processing, identifing modeling attributes and parameters. Applies algorithms to create descriptive, predictive or prescriptive models to achieve analysis and project deliverables.</li><li>Investigates data characteristics, complexity, quality, and meaning. Through visualizations and summarizations, defines performance, identifies trends, outliers, and drivers.</li><li>Prepares data for analysis, e.g. cleansing, conditioning, transforming, handling missing fields, identifying new feature variables and handling multi-variate data.</li><li>Build ML Model for NLP, multi-labeling, image detection, emotion detection, etc.</li></ul> Required Skills:<ul><li>3-5 years of industry experience in data science developing ML Models for NLP.</li><li>Experience of building NLP Models for Topic Modeling, Multi-labeling data science solutions.</li><li>Experience in relevant programming languages (e.g. Python)</li><li>Experience within the Python Data Science ecosystem - NumPy, SciPy, Jupyter, etc.</li><li>Experience in fine-tuning and tranining ML models</li><li>Experience in AWS cloud. Developing and deploying applications in the cloud.</li><li>MS in Data Science</li><li>Past experience with startups and a fast-paced environment is an added advantage.</li></ul> Provide a link to a Github that showcases your work. Preferred Requirements:<ul><li>MS in Data Science from IIT/NIT</li><li>Experience building deep neural networks to production.</li><li>Experience in AWS, Google cloud, Azure.</li><li>Experience with large volume data processing systems.</li><li>Experience with Agile software development.</li><li>Good knowledge of Database technologies such as SQL, PL/SQL and relational database schema design.</li></ul> Here’s what we’ll set you up with:<ul><li>A team that is invested in your career growth and training</li><li>Competitive salary and equity, based on experience</li><li>Best-in-class health insurance, including dental and vision coverage.</li><li>Work alongside world-class talent</li><li>Flexible vacation / paid time off policy</li><li>Personal style encouraged </li></ul> We celebrate diversity and are committed to creating an inclusive environment for all employees.

What would you do? Data & AI You will be a core member of Accenture Operations global Data & AI group, an energetic, strategic, high-visibility and high-impact team, to innovate and transform the Accenture Operations business using machine learning, advanced analytics to support data-driven decisioning.What are we looking for? Extensive experience in leading Data Science and Advanced Analytics delivery teams • Strong statistical programming experience – Python or working knowledge on cloud native platforms like AWS Sagemaker is preferred Azure/ GCP • Experience working with large data sets and big data tools like AWS, SQL, PySpark, etc. • Solid knowledge in at least more than two of the following – Supervised and Unsupervised Learning, Classification, Regression, Clustering, Neural Networks, Ensemble Modelling (random forest, boosted tree, etc) • Experience in working with Pricing models is a plus • Experience in atleast one of these business domains: Energy, CPG, Retail, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce, Health, Supply Chain • Extensive experience in client engagement and business development • Ability to work in a global collaborative team environment • Quick Learner and Independently deliver results.Qualifications: Masters / Ph.D. Computer science, Engineering, Statistics, Mathematics, Economics or related disciplines. Roles and Responsibilities: • Leading team of data scientists to build and deploy data science models to uncover deeper insights, predict future outcomes, and optimize business processes for clients. • Refining and improving data science models based on feedback, new data, and evolving business needs. • Analyze available data to identify opportunities for enhancing brand equity, improving retail margins, achieving profitable growth, and expanding market share for clients. • Data Scientists in Operations follow multiple approaches for project execution from adapting existing assets to Operations use cases, exploring third-party and open-source solutions for speed to execution and for specific use cases to engaging in fundamental research to develop novel solutions.<ul><li> • Data Scientists are expected to collaborate with other data scientists, subject matter experts, sales, and delivery teams from Accenture locations around the globe to deliver strategic advanced machine learning / data-AI solutions from design to deployment.</li></ul>

Role: Data ScientistExperience: 2-8 YearsShift: Regular IST shiftType: C2HDuration: 6 monthsLocation: Hybrid- Mumbai/Pune Chandigarh Job Description:<ul><li> 3-8 years of experience in advanced analytics, machine learning, and Python to drive data-driven decision-making in a retail/eCommerce setting. </li><li>The role involves developing predictive models, optimizing business processes, and delivering actionable insights to enhance performance and profitability.</li><li>Strong expertise in statistical analysis, and data visualization to support predictive modeling.</li><li>The role offers opportunities for learning and growth in a collaborative, fast-paced environment.</li></ul>

Data Scientist Jobs in Mumbai, Maharashtra

Data Scientist
December 21, 2024

Data Scientist
December 20, 2024

Senior Data Scientist
December 19, 2024

Data Scientist
December 17, 2024

Data Scientist
December 7, 2024

Data Scientistartificial Intelligence
December 1, 2024

Senior Data Scientist
December 1, 2024

Sr Data Scientist
November 26, 2024

Data Scientist
November 24, 2024

Data Scientist C2H
November 24, 2024

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Data Scientist Jobs in Mumbai, Maharashtra

Data ScientistDecember 21, 2024

Data ScientistDecember 20, 2024

Senior Data ScientistDecember 19, 2024

Data ScientistDecember 17, 2024

Data ScientistDecember 7, 2024

Data Scientistartificial IntelligenceDecember 1, 2024

Senior Data ScientistDecember 1, 2024

Sr Data ScientistNovember 26, 2024

Data ScientistNovember 24, 2024

Data Scientist C2HNovember 24, 2024