1452 Data Scientist Jobs - Page 33

Skill Set : AI,Machine Learning,NLP,Gen AI Job Description: Leading a team of data scientists with roadmap and vision. Planning data projects. Building analytic systems and predictive models. Managing a team of data scientists, and machine learning engineers. Involve in pre-sales and building proposals.

Job details Employment Type: Full-Time Location: Pune, Maharashtra, India Job Category: Innovation & Technology Job Number: WD30243101 Job Description AI Data Scientist Locations: Pune, India Buildings are getting smarter with connected technologies. With more connectivity, there is access to more data from sensors installed in buildings. Johnson Controls is leading the way in providing AI enabled enterprise solutions that contribute to optimized energy utilization, auto- generation of building insights and enable predictive maintenance for installed devices. Our Data Strategy & Intelligence team is looking for a Data Scientist to join our growing team. You will play a critical role in developing and deploying machine learning/Generative AI and time series analysis models in production. The Role To be successful in this role, the Data Scientist should have a deep knowledge of machine learning concepts, Large Language Models (LLM) including their training , optimization and deployment, time series models as well as experience in developing and deploying ML/Generative AI/ time series models in production. What you will do As an AI Data Scientist at Johnson Controls, you will help develop and maintain the AI algorithms and capabilities within our digital products. These applications will use data from commercial buildings, apply machine learning, GenAI or other advanced algorithms to provide value in the following ways: Optimize building energy consumption, occupancy, reduce CO2 emissions, enhance users’ comfort, etc. Generate actionable insights to improve building operations Translate data into direct recommendations for various stakeholders Your efforts will ensure that our AI solutions deliver robust and repeatable outcomes through well-designed algorithms and well-written software. To be successful in this role, the AI Data Scientist should be comfortable applying machine-learning concepts to practical applications while handling the inherent challenges of real-world datasets. How you will do it Contribute as a member of the AI team with assigned tasks Collaborate with product managers to design new AI capabilities Explore and analyze available datasets for potential applications Write Python code to develop ML/Generative AI/time series prediction solutions that address complex business requirements Research and implement state-of-the-art techniques in Generative AI solutions Pre-train and finetune ML over CPU/GPU clusters while optimizing for trade-offs Follow code-quality standards and best practices in software development Develop and maintain test cases to validate algorithm correctness Assess failures to identify causes and plan fixes for bugs Communicate key results to stakeholders Leverage JIRA to plan work and track issues What we look for Bachelor's / Master’s degree in Computer Science, Statistics, Mathematics, or related field. 5+ years of experience of developing and deploying ML Models with a proven record of delivering production ready ML models. Proficiency with Python and standard ML libraries, e.g., PyTorch, Tensorflow, Keras, NumPy, Pandas, scikit-learn, Matplotlib, Transformers. Strong understanding of ML algorithms and techniques, e.g., Regression, Classification, Clustering, Deep Learning, NLP / Transformer models, LLMs and Time Series prediction models. Experience in developing SOA LLM frameworks and models (Azure OpenAI, Meta Llama, etc), advanced prompt engineering techniques, LLMs fine-tuning/training. Experience in working with cloud (AWS / GCP / Azure) based ML/GenAI model development / deployment. Excellent verbal and written communication skills. Preferred Prior Domain experience in smart buildings and building operations optimization Experience in working with Microsoft Azure Cloud.

Sr. Executive / Assistant Manager Data Scientist Godrej Agrovet Mumbai, Maharashtra, India ------------------------------------------------------------------------------------------------------------- Job Title: Sr. Executive / Assistant Manager Data Scientist Job Type: Permanent, Full-time Function: Digital Business: Godrej Agrovet Location: Mumbai, Maharashtra, India About Godrej Agrovet: Godrej Agrovet Limited (GAVL) is a diversified, Research & Development focused agri-business Company dedicated to improving the productivity of Indian farmers by innovating products and services that sustainably increase crop and livestock yields. GAVL holds leading market positions in the different businesses it operates - Animal Feed, Crop Protection, Oil Palm, Dairy, Poultry and Processed Foods. GAVL has a pan India presence with sales of over a million tons annually of high-quality animal feed and cutting- edge nutrition products for cattle, poultry, aqua feed and specialty feed. Our teams have worked closely with Indian farmers to develop large Oil Palm Plantations which is helping in bridging the demand and supply gap of edible oil in India. In the crop protection segment, the company meets the niche requirement of farmers through innovative agrochemical offerings. GAVL through its subsidiary Astec Life Sciences Limited, is also a business-to-business (B2B) focused bulk manufacturer of fungicides & herbicides. In Dairy and Poultry and Processed Foods, the company operates through its subsidiaries Creamline Dairy Products Limited and Godrej Tyson Foods Limited. Apart from this, GAVL also has a joint venture with the ACI group of Bangladesh for animal feed business in Bangladesh. For more information on the Company, please log on to www.godrejagrovet.com Roles & Responsibilities: Data Cleaning, Preprocessing & exploration: Prepare data for analysis, ensuring quality, consistency, and completeness by handling missing values, outliers, and transforming data. Explore and analyze large and complex datasets to identify patterns, trends, and anomalies Machine Learning Model Development: Build, train, and deploy machine learning models on the Databricks platform, leveraging tools such as ML flow for experiment with techniques like regression, classification, clustering, and time series analysis Model Evaluation & Deployment: Develop and select features to improve model performance, leveraging Databricks' distributed computing capabilities for efficient processing. Familiarity with CI/CD tools (e.g., Jenkins, GitLab) for automating deployment and testing of data pipelines Collaboration: Collaborate with data engineers, analysts, and business stakeholders to understand business requirements and translate them into data-driven solutions. Data Visualization and Reporting: Create visualizations and dashboards within Databricks, Power BI and other tools to communicate insights to technical and non-technical stakeholders. Continuous Learning: Stay up to date with the latest developments in data science, machine learning, and industry best practices to continually enhance skills and processes. Key Skills: Knowledge of statistical analysis techniques, hypothesis testing, and machine learning Familiarity with NLP, time series analysis, and computer vision or A/B testing Databricks and Apache Spark: Proficiency with Databricks, Spark DataFrames and MLlib Programming: Proficiency in (Python, TensorFlow, Pandas, scikit-learn, PySpark, NumPy) with experience in writing scalable code for large datasets SQL: Strong SQL skills for data extraction, manipulation, and analysis Familiarity with ML flow for tracking, model versioning, and reproducibility. Familiarity with cloud data storage and processing tools (e.g., Azure Data Lake, AWS S3). Educational Qualification: Education: Bachelors degree in Statistics, Mathematics, Computer Science, or a related field Experience: 3+ years of experience in data science or analytical role Experience: As a skilled Data Scientist, you will leverage your analytical skills to uncover insights from complex datasets, build predictive models, and inform data-driven decisions across the organization. You’ll work closely with cross-functional teams, including business, engineering, and product, to apply advanced statistical methods, machine learning, and domain knowledge to solve real-world problems. What’s in it for you? Be an equal parent Maternity support, including paid leave ahead of statutory guidelines, and flexible work options on return Paternity support, including paid leave New mothers can bring a caregiver and children under a year old, on work travel Adoption support; gender neutral and based on the primary caregiver, with paid leave options No place for discrimination at Godrej Gender-neutral anti-harassment policy Same sex partner benefits at par with married spouses Gender transition support We are selfish about your wellness Comprehensive health insurance plans, as well as accident coverage for you and your family, with top-up options Uncapped sick leave Mental wellness and self-care programmes, resources and counselling Celebrating wins, the Godrej Way Structured recognition platforms for individual, team and business-level achievements Performance-based earning opportunities https://www.godrejcareers.com/benefits/ An inclusive Godrej Before you go, there is something important we want to highlight. There is no place for discrimination at Godrej. Diversity is the philosophy of who we are as a company. And has been for over a century. It’s not just in our DNA and nice to do. Being more diverse - especially having our team members reflect the diversity of our businesses and communities - helps us innovate better and grow faster. We hope this resonates with you. We take pride in being an equal opportunities employer. We recognise merit and encourage diversity. We do not tolerate any form of discrimination on the basis of nationality, race, colour, religion, caste, gender identity or expression, sexual orientation, disability, age, or marital status and ensure equal opportunities for all our team members. If this sounds like a role for you, apply now! We look forward to meeting you. Show more Show less

Job summary Amazon.com s Buyer Risk Prevention (BRP) mission is to make Amazon the safest and most trusted place worldwide to transact online. Amazon runs one of the most dynamic e-commerce marketplaces in the world, with nearly 2 million sellers worldwide selling hundreds of millions of items in ten countries. BRP safeguards every financial transaction across all Amazon sites. As such, BRP designs and builds the software systems, risk models, and operational processes that minimize risk and maximize trust in Amazon.com. The BRP organization is looking for a data scientist for its Risk Mining Analytics (RMA) team, whose mission is to combine advanced analytics with investigator insight to detect negative customer experiences, improve system effectiveness, and prevent bad debt across Amazon. As a data scientist in risk mining, you will be responsible for modeling complex problems, discovering insights, and building risk algorithms that identify opportunities through statistical models, machine learning, and visualization techniques to improve operational efficiency and reduce bad debt. You will need to collaborate effectively with business and product leaders within BRP and cross-functional teams to build scalable solutions against high organizational standards. The candidate should be able to apply a breadth of tools, data sources, and data science techniques to answer a wide range of high-impact business questions and proactively present new insights in a concise and effective manner. The candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high-impact role with goals that directly impact the bottom line of the business. Analyze terabytes of data to define and deliver on complex analytical deep dives to unlock insights and build scalable solutions through Data Science to ensure security of Amazon s platform and transactions Build Machine Learning and/or statistical models that evaluate the transaction legitimacy and track impact over time Ensure data quality throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, and cross-lingual alignment/mapping Define and conduct experiments to validate/reject hypotheses, and communicate insights and recommendations to Product and Tech teams Develop efficient data querying infrastructure for both offline and online use cases Collaborate with cross-functional teams from multidisciplinary science, engineering and business backgrounds to enhance current automation processes Learn and understand a broad range of Amazon s data resources and know when, how, and which to use and which not to use. Maintain technical document and communicate results to diverse audiences with effective writing, visualizations, and presentations - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 2+ years of data scientist experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience - Experience applying theoretical models in an applied environment - Experience in Python, Perl, or another scripting language

Amazon.com s Buyer Risk Prevention (BRP) mission is to make Amazon the safest and most trusted place worldwide to transact online. Amazon runs one of the most dynamic e-commerce marketplaces in the world, with nearly 2 million sellers worldwide selling hundreds of millions of items in ten countries. BRP safeguards every financial transaction across all Amazon sites. As such, BRP designs and builds the software systems, risk models, and operational processes that minimize risk and maximize trust in Amazon.com. The BRP organization is looking for a data scientist for its Risk Mining Analytics (RMA) team, whose mission is to combine advanced analytics with investigator insight to detect negative customer experiences, improve system effectiveness, and prevent bad debt across Amazon. As a data scientist in risk mining, you will be responsible for modeling complex problems, discovering insights, and building risk algorithms that identify opportunities through statistical models, machine learning, and visualization techniques to improve operational efficiency and reduce bad debt. You will need to collaborate effectively with business and product leaders within BRP and cross-functional teams to build scalable solutions against high organizational standards. The candidate should be able to apply a breadth of tools, data sources, and data science techniques to answer a wide range of high-impact business questions and proactively present new insights in a concise and effective manner. The candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high-impact role with goals that directly impact the bottom line of the business. Analyze terabytes of data to define and deliver on complex analytical deep dives to unlock insights and build scalable solutions through Data Science to ensure security of Amazon s platform and transactions Build Machine Learning and/or statistical models that evaluate the transaction legitimacy and track impact over time Ensure data quality throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, and cross-lingual alignment/mapping Define and conduct experiments to validate/reject hypotheses, and communicate insights and recommendations to Product and Tech teams Develop efficient data querying infrastructure for both offline and online use cases Collaborate with cross-functional teams from multidisciplinary science, engineering and business backgrounds to enhance current automation processes Learn and understand a broad range of Amazon s data resources and know when, how, and which to use and which not to use. Maintain technical document and communicate results to diverse audiences with effective writing, visualizations, and presentations - 2+ years of data scientist experience - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience - Experience applying theoretical models in an applied environment - Experience in a ML or data scientist role with a large technology company

Job Title: Associate Data Scientist Location: Mumbai Job Type: Full-time Experience: 0-6months About the Role: We are seeking a highly motivated Associate Data Scientist with a strong passion for energy, technology, and data-driven decision-making. In this role, you will be responsible for developing and refining energy load forecasting models , analyzing customer demand patterns , and improving forecasting accuracy using advanced time series analysis and machine learning techniques . Your insights will directly support risk management, operational planning, and strategic decision-making across the company. If you thrive in a fast-paced, dynamic environment and enjoy solving complex data science challenges , we d love to hear from you! Key Responsibilities: Develop and enhance energy load forecasting models using time series forecasting , statistical modeling , and machine learning techniques . Analyze historical and real-time energy consumption data to identify trends and improve forecasting accuracy. Investigate discrepancies between forecasted and actual energy usage , providing actionable insights. Automate data pipelines and forecasting workflows to streamline processes across departments. Monitor day-over-day forecast variations and communicate key insights to stakeholders. Work closely with internal teams and external vendors to refine forecasting methodologies . Perform scenario analysis to assess seasonal patterns, anomalies, and market trends. Continuously optimize forecasting models , leveraging techniques like ARIMA, Prophet, LSTMs, and regression-based models . Qualifications & Skills: 0-6months of experience in data science, preferably in energy load forecasting , demand prediction, or a related field. Strong expertise in time series analysis , forecasting algorithms , and statistical modeling . Proficiency in Python , with experience using libraries such as pandas, NumPy, scikit-learn, statsmodels, and TensorFlow/PyTorch . Experience working with SQL and handling large datasets. Hands-on experience with forecasting models like ARIMA, SARIMA, Prophet, LSTMs, XGBoost, and random forests . Familiarity with feature engineering, anomaly detection, and seasonality analysis . Strong analytical and problem-solving skills with a data-driven mindset . Excellent communication skills, with the ability to translate technical findings into business insights . Ability to work independently and collaboratively in a fast-paced, dynamic environment . Strong attention to detail, time management, and organizational skills. Preferred Qualifications (Nice to Have): Experience working with energy market data, smart meter analytics, or grid forecasting . Knowledge of cloud platforms (AWS) for deploying forecasting models . Experience with big data technologies such as Spark or Hadoop .

Who We Are & Why Join Us Avathon is revolutionizing industrial AI with a powerful platform that enables businesses to harness the full potential of their operational data. Our technology seamlessly integrates and contextualizes siloed datasets, providing a 360-degree operational view that enhances decision-making and efficiency. With advanced capabilities like digital twins, natural language processing, normal behavior modeling, and machine vision, we create real-time virtual replicas of physical assets, enabling predictive maintenance, performance simulation, and operational optimization. Our AI-driven models empower companies with scalable solutions for anomaly detection, performance forecasting, and asset lifetime extension all tailored to the complexities of industrial environments. Cutting-Edge AI Innovation - Join a team at the forefront of AI, developing groundbreaking solutions that shape the future. High-Growth Environment - Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm. Meaningful Impact - Work on AI-driven projects that drive real change across industries and improve lives. Learn more at: Avathon Title: Data Scientist Experience: 6 to 10 years Location: Bengaluru ( Brigade Metropolis - Summit A, Garucharpalya Metro) Woking Mode: Onsite Job Description: The Applied Research team addresses hard, novel challenges that arise in product development or customer engagements. As a Data Scientist , youll bring your knowledge and proven data science expertise to conduct research in machine learning-based solutions that improve our products and help our customers. Qualified candidates are deeply analytical with a keen understanding of artificial intelligence, machine learning, and data science. They are experienced researchers who know how to design worthwhile experiments and empirically derive conclusions. They have the ability, inclination, and experience to conduct research that solves practical problems. They have the communication skills to work closely with both research colleagues and customers. Roles and Responsibilities Independently and effectively engage with internal product developers, external customers, and subject matter experts to understand and solve critical technical challenges through the application of cutting-edge artificial intelligence Conduct research and create models for commercial and industrial applications in: forecasting stochastic demand, economics based inventory optimization, manufacturing and network planning, transportation routing and resource scheduling, anomaly detection, prescriptive maintenance (e.g. based on IOT data), health and safety (e.g. based on computer vision and IOT data). Conduct research across artificial intelligence areas including reinforcement learning, foundation models, graph neural networks, causal modeling, transferability and continuous learning Pioneer procedures and/or automated toolsets to more efficiently and effectively perform data science activities Contribute to AI product development and key data science research areas, internally and externally Propose new projects or initiatives that will yield business benefits and evaluate project plans and proposals Evaluate and respond to RFPs related to artificial intelligence Conduct research and write patent applications and technical publications Required Skills Experience with research-level innovation in Data Science and ML, preferably with an advanced degree. 6+ years of experience in one or more of forecasting, optimisation (inventory/ supply chain/ network/ transportation), procurement, prescriptive maintenance, fine-tuning language models, creating domain agents, computer vision. Experience with reinforcement learning including MARL, graph neural networks, economic and probabilistic modeling is a plus. Strong understanding of Data Science, including machine learning, statistics, probability, and modeling. Significant experience with Data Science programming languages, such as Python, R, Matlab Significant experience with machine learning frameworks, such as PyTorch, TensorFlow, Theano, and Keras. Applied knowledge of ML techniques/algorithms including linear models, neural networks, decision trees, Bayesian techniques, clustering, and anomaly detection Significant experience managing large volumes of data (terabytes or more) Experience with leading project teams, specifically data science teams Strong written and verbal communications, ability to translate complex technical topics to internal and external stakeholders. Avathon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. Avathon is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you.

#Dear Associates, #Hope you are doing well & Safe! #Greetings from Rrootshell Technologiiss #We have URGENT & MULTIPLE Requirements for #Data Scientist Position. # Work Mode: Remote Work Opportunity in INDIA Only. #This is for FULL -TIME role. Job Description: Data Scientist / Data Analysis 5+ years of experience designing and implementing AI/ML solutions on Google Cloud Platform. Google Professional Machine Learning Engineer certification is preffered. Strong proficiency with GCP services such as Vertex AI, BigQuery, Cloud Dataflow, AI Platform, and AutoML. Hands-on experience with machine learning frameworks. Proficiency in programming languages such as Python. Experience with MLOps and CI/CD tools, including Cloud Build and Vertex AI Pipelines. Strong understanding of AI/ML algorithms, data structures, and model optimization techniques. Experience with containerization (Docker, Kubernetes) and orchestration using Google Kubernetes Engine (GKE). Hands-on experience with Generative AI applications and deploying them on any cloud #Preferring for IMMEDIATE JOINERS OR max 15 Days’ notice If you are interested, kindly share your UPDATED resume with jobs@rrootshell.com LinkedIn ID: linkedin.com/in/ravi-kumar-rapalli-636878122 Regards Ravi Kumar Account Manager Show more Show less

Are you a forward-thinking data scientist, poised to lead with innovation? At KnowBe4, youll be able to shape a career as distinctive as your expertise, supported by our global reach, inclusive ethos, and cutting-edge technology. As a Data Scientist, youll be at the forefront of crafting impactful, data-driven solutions, collaborating with talented teams in a dynamic, fast-paced environment. Join us in creating an extraordinary path for your professional growth and making a meaningful impact in the working world. Data scientists design data modeling processes, create algorithms and predictive models to be used by software engineers for developing new and exciting products for KnowBe4 s customers, alongside other engineers in a fast-paced, agile development environment. Responsibilities: Research, design, and implement Machine Learning, Deep Learning algorithms to solve complex problems Communicate complex concepts and statistical models to non-technical audiences through data visualizationsPerforms statistical analysis and using results to improve models Identify opportunities and formulate data science / machine learning projects to optimize business impact Serve as a subject matter expert in data science and analytics research, and adopt the new tooling and methodologies in Knowbe4 Manage the release, maintenance, and enhancement of machine learning solutions in a production environment via multiple deployment options such as APIs, embedded software, or stand-alone applications Advise various teams on Machine Learn Practices and ensure the highest quality and compliance standards for ML deployments Design and develop cyber security awareness products and features using Generative AI, machine learning, deep learning, and other data ecosystem technologies. Collaborate with cross-functional teams to identify data-related requirements, design appropriate NLP experiments, and conduct in-depth analyses to derive actionable insights from unstructured data sources. Staying updated with the latest advancements in machine learning, deep learning, and generative AI through self-learning and professional development. Research, design, and implement Machine Learning, Deep Learning algorithms to solve complex problems Communicate complex concepts and statistical models to non-technical audiences through data visualizationsPerforms statistical analysis and using results to improve models Identify opportunities and formulate data science / machine learning projects to optimize business impact Serve as a subject matter expert in data science and analytics research, and adopt the new tooling and methodologies in Knowbe4 Manage the release, maintenance, and enhancement of machine learning solutions in a production environment via multiple deployment options such as APIs, embedded software, or stand-alone applications Advise various teams on Machine Learn Practices and ensure the highest quality and compliance standards for ML deployments Requirements: BS or equivalent plus 10 years experience MS or equivalent plus 5 years experience Ph.D. or equivalent plus 4 years experience Expertise working experience with programming languages like Python, R, and SQL Solid understanding of statistics, probability, and machine learning 10+ years of relevant experience in designing ML/DL/GenAI systems Expertise in rolling out Generative AI SAAS product and features. Expertise in AWS ecosystem. Proficiency in machine learning algorithms and techniques, including supervised and unsupervised learning, classification, regression, clustering, and dimensionality reduction. Strong understanding and practical experience with deep learning frameworks such as TensorFlow or PyTorch. Ability to design, train, and optimize deep neural networks for various tasks like image recognition, natural language processing, and recommendation systems. Knowledge and experience in generative models like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Ability to create and use generative models for tasks such as image generation, text generation, and data synthesis. Exposure to LLMs, Transformers, and a few technologies like Langchain, Llamaindex, Pinecone, Sagemaker Jumpstart, Chatgpt, AWS Bedrock, and VertexAI. Strong data manipulation skills, including data cleaning, preprocessing, and feature engineering. Experience with data manipulation libraries like Pandas. Ability to create compelling data visualizations using tools like Matplotlib or Seaborn to communicate insights effectively. Proficiency in NLP techniques for text analysis, sentiment analysis, entity recognition, and topic modeling. Strong understanding of data classification, sensitivity, PII, and personal data modeling techniques Experience in model evaluation and validation techniques, including cross-validation, hyperparameter tuning, and performance metrics selection. Proficiency in version control systems like Git for tracking and managing code changes. Strong communication skills to convey complex findings and insights to both technical and non-technical stakeholders. Ability to work collaboratively in cross-functional teams. Excellent problem-solving skills to identify business challenges and devise data-driven solutions. Nice to Have: Experience in designing data pipelines and products for real-world applications Experience with modern/emerging scalable computing platforms and languages (e.g. Spark) Familiarity with big data technologies like Hadoop, Spark, and distributed computing frameworks for handling large datasets.

Senior Data Scientist - S&A Now, more than ever, the Toast team is committed to our customers. We re taking steps to help restaurants navigate these unprecedented times with technology, resources, and community. We focus on building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. And because our technology is purpose-built for restaurants, by restaurant people, restaurants can trust that we ll deliver on their needs for today while investing in experiences that will power their restaurant of the future. Bready* to make a change? As the Senior Data Scientist in our Bangalore Data Science team, you will contribute to building machine learning algorithms using our huge reservoir of point of sale transaction data. You will work with architects, engineers and product managers to solve business and customer problems and turn machine learning models into business impact across product lines, including financial processing and fraud. About this Roll* : Design, build, train and evaluate machine learning models to drive business value for Toast and our restaurant customers Collaborate closely with internal and external product stakeholders, both technical and non-technical and help translate deep machine learning knowledge to product applications Break down larger ML initiatives into smaller problems that enables data science to deliver incremental business value and lead the team to execute on them Work closely with Production Engineering and Data Platform teams to deploy models to production and regularly monitor for efficiency, key KPIs and enhance them as needed Work with incident response and problem resolution teams to check and resolve any problems/challenges as and when identified in the model deployed in the production Effectively document all steps and manage code repositories for easy scalability and knowledge sharing with the the team Incorporate up-to-date ML technology and DS approach as best practice for the team Help in continuing to build out and expand the Data Science and ML Engineering teams Work effectively in a dynamic, changing environment while focusing on key goals and objectives Do you have the right ingredients* ? Advanced degree in Data Science, Statistics, Applied Math, Computer Science, Engineering or other equivalent quantitative disciplines 6 + years of industry experience in the field of Data Science and Machine Learning Strong proficiency in Python and SQL; experience with some of the following languages, tools, and frameworks: R, Spark, Scala, scikit-learn, Tensorflow, PyTorch, etc. Familiarity with standard software engineering practices and tools including object-oriented programming, test-driven development, CI/CD, git, shell scripting, task orchestration (Airflow, Luigi, etc.) and preferably AWS tooling (Sagemaker, DynamoDB, ECS, etc.) Strong knowledge of underlying mathematical foundations of statistics and machine learning Prior success deploying machine learning solutions in large-scale production environments Experience collaborating with cross-functional teams and stakeholders to evaluate new Machine Learning opportunities Problem solver who loves to dig into different kinds of data and can communicate their findings to cross-functional stakeholders Bonus ingredients* : Passion for research and curiosity that calls you to go beyond good enough to create something innovative and exciting

Description Gain a comprehensive understanding of the process and data flow. Acquire in-depth knowledge of the reports provided by GB Outsourcing. Create analytics and reports for insurers to enable strategic decision-making based on various facts, figures, and trends. Develop analytics for internal stakeholders and provide regular feedback. Work with the business to develop new products and evaluate their impact. Additionally, collaborate with stakeholders to understand their needs and provide data-driven insights to inform decision-making. Translate analytical insights into strategic recommendations and effectively communicate them to both technical and non-technical stakeholders. Adapt to a fast-changing environment, switching priorities as needed while producing high-quality and accurate reports. Innovate by proposing and implementing ideas for new reports and process simplification Qualifications Qualifications: Tech (coding) Graduate or Post-Graduate in Data Science Experience: 2-3 years of experience in analytics profile with working knowledge to predictive analytics preferably Technical Competencies: Experience in SQL, R, Python, with VBA optional Working knowledge on capabilities of Gen AI Background in Computer Science & Statistics preferred. Data Analysis and Interpretation Skills: Impactful written and verbal communication Strong team player Business acumen Problem-solving, quantitative, and analytical skills Logical thinking Highly self-driven in managing your own portfolio and assigned responsibilities with accuracy. Technical competency to do complex work independently. Ability to prioritize tasks and meet project deadlines

Roles and Responsibilities: As a, Associate Manager - Senior Data scientist you will solve some of the most impactful business problems for our clients using a variety of AI and ML technologies. You will collaborate with business partners and domain experts to design and develop innovative solutions on the data to achieve predefined outcomes. - Engage with clients to understand current and future business goals and translate business problems into analytical frameworks - Develop custom models based on in-depth understanding of underlying data, data structures, and business problems to ensure deliverables meet client needs - Create repeatable, interpretable and scalable models - Effectively communicate the analytics approach and insights to a larger business audience - Collaborate with team members, peers and leadership at Tredence and client companies Qualification: - Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience. - 5+ years of experience in data science, building hands-on ML models - Experience with LMs (Llama (1/2/3), T5, Falcon, Langchain or framework similar like Langchain) - Candidate must be aware of entire evolution history of NLP (Traditional Language Models to Modern Large Language Models), training data creation, training set-up and finetuning - Candidate must be comfortable interpreting research papers and architecture diagrams of Language Models - Candidate must be comfortable with LORA, RAG, Instruct fine-tuning, Quantization, etc. - Experience leading the end-to-end design, development, and deployment of predictive modeling solutions. - Excellent programming skills in Python. Strong working knowledge of Python's numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc. - Advanced SQL skills with SQL Server and Spark experience. - Knowledge of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks - Experience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing and topic modeling. - Excellent verbal and written communication. Strong troubleshooting and problem-solving skills. Thrive in a fast-paced, innovative environment - Experience with data visualization tools -- PowerBI, Tableau, R Shiny, etc. preferred - Experience with cloud platforms such as Azure, AWS is preferred but not required. Required Skills g, Pyspark, Python, SQL, GenAi, NLP, Clasical ML, DL, Supervised ML, Transformer Models, Transformers, Unsupervised ML

Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team first mindset. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire. Offices : New York | Dallas | San Francisco | Lima | Bengaluru The below role is for our Bengaluru office. About the Role : You will work on a broad range of cutting-edge data science and machine learning problems across a variety of industries. You will be engaging with clients to understand their business context. If you are passionate to work on complex unstructured business problems that can be solved using data science and machine learning we would like to talk to you. Function : Data Science and Analysis → Data Science / Machine Learning Desired Skills & Competencies: Strong learning acumen High sense of ownership Ability to work in a fast-paced and deadline-driven environment Loves technology Highly skilled at Data Interpretation Problem solver Good exposure to machine learning concepts and algorithms Must be fluent with any one of Python, R, Java Strong in statistical & machine learning concepts Knowledge of Python Libraries - SciPy, NumPy, Pandas, I Python, Scikit-learn Knowledge of distributed big data processing (PySpark, Jupyter, Linux, AWS) Responsibilities: Hypothesis testing, insights generation, root cause analysis, factor analysis Statistical model (predictive & prescriptive) development using various statistical & machine learning techniques/algorithms Test/train the model, Improve Model accuracy, Monitor model performance Data Extraction from EDW/Big Data Platform, Dataset Preparation (creation of base data, aggregation, transformation), performing EDA Desired Experience & Education: 3 - 5 years of relevant Machine Learning experience. B. Tech from Tier-1 college / M.S or M. Tech is preferred in Computer Science, Information Technology, or similar degree. Show more Show less

Design, develop machine learning models, algorithms and systems Theoretical understanding and practice of machine learning NLP, Computer Vision, recommender systems and Optimization GENAI Experienced

Senior Data Scientist India - Pune So, what s the role all about We are seeking a highly skilled and experienced Senior Data Scientist to join our dynamic team. The ideal candidate should have a minimum 4s of years of experience in data science, with hands-on experience in developing and implementing Generative AI solutions. The Senior Data Scientist will be responsible for developing Machine Learning models and collaborating with cross-functional teams to solve complex business problems How will you make an impact Develop and execute advanced analytics projects from end to end, including data collection, preprocessing, model development, evaluation, and deployment. Develop predictive models and machine learning algorithms to extract actionable insights from large and complex datasets. Utilize statistical techniques and quantitative analysis to identify trends, patterns, and correlations within the data. Collaborate with stakeholders to understand business requirements and translate them into analytical solutions that drive value and impact. Stay abreast of the latest advancements in Data Science, Machine Learning, Generative AI and recommend innovative approaches to solve business challenges Have you got what it takes Bachelors degree in Computer Science, Statistics, Mathematics, or a related field; advanced degree (Masters or Ph. D. ) preferred. Minimum of 4 years of hands-on experience in data science and machine learning , with at least 6 months of experience in Generative AI development. Proficiency in programming languages such as Python or R, as well as experience with data manipulation and analysis libraries (e. g. , pandas, NumPy, scikit-learn, Hugging Face - Transformers, LangChain etc. ). Strong understanding of machine learning techniques and algorithms, including supervised and unsupervised learning, regression, classification, clustering, and deep learning. Strong understanding of LLMs, NLP techniques, and evaluation methods for generative outputs. Solid foundation in prompt engineering for optimizing AI-generated outputs across different tasks and domains. Excellent problem-solving skills and ability to work independently as well as collaboratively in a fast-paced environment. Strong communication and interpersonal skills, with the ability to effectively communicate complex technical concepts to diverse audiences. Proven leadership abilities, with experience in mentoring junior team members and leading cross-functional projects. Publications or contributions to the data science community, such as conference presentations, research papers, or open-source projects. Preferred Qualifications: Experience working in industries such as finance, banking. Familiarity with cloud computing platforms (e. g. , AWS, Azure, Google Cloud) and related services for building and deploying machine learning models. Knowledge of data visualization tools (e. g. , Tableau, Power BI) for creating interactive dashboards and reports. Publications or contributions to the data science community, such as conference presentations, research papers, or open-source projects. Hands-on experience with vector databases (e. g. Pinecone) and embedding techniques. What s in it for you Enjoy NICE-FLEX! Requisition ID: 7409 Reporting into: Tech Manager Role Type: Individual Contributor About NICE

Roles Responsibilities : Design and develop scalable machine learning models for predictive analytics, classification, and optimization tasks. Work closely with data engineering teams to gather, clean, and transform large-scale data for model training and evaluation. Conduct A/B testing and performance monitoring of deployed models. Communicate complex model outcomes and business impact to stakeholders in a clear and concise manner. Contribute to model lifecycle management, including retraining pipelines and MLOps best practices.

Experience with Natural Language Processing (NLP) and Computer Vision (CV) techniques. Knowledge of DevOps methodologies and practices for continuous integration/continuous delivery (CI/CD). Experience with data warehousing and data lakes solutions like BigQuery or Snowflake. Familiarity with real-time data processing and streaming analytics. Passion for learning and staying at the forefront of data science and machine learning advancements. Master's degree in Computer Science, Statistics, Mathematics, or a related field. 7+ years of experience in data science and machine learning with a strong focus on model development and deployment. Expert-level knowledge of statistics, including probability theory, hypothesis testing, and statistical inference. In-depth knowledge of machine learning algorithms, including linear regression, logistic regression, decision trees Good knowledge on software configuration management systems Strong business acumen, strategy and cross-industry thought leadership Awareness of latest technologies and Industry trends Logical thinking and problem solving skills along with an ability to collaborate Two or three industry domain knowledge Understanding of the financial processes for various types of projects and the various pricing models available Client Interfacing skills Knowledge of SDLC and agile methodologies Project and Team management Show more Show less

About Company- MDIndia Health Insurance TPA Pvt. Ltd. was founded in November 2000, with exclusive focus on healthcare insurance and aim of providing TPA (Third Party Administration) services to Indian Health Insurance Sector. IRDA (Insurance Regulatory and Development Authority) issued the TPA License (No. 005) to MD India in March 2001 and very soon MD India became a leading company in the insurance industry. Our company wide reputation is built on Integrity, Knowledge, and Service. MD India Health Insurance TPA Pvt. Ltd. is a young, professional and dynamic organization with a strong workforce of 8000 plus professionals, including over 1000 medicos. Our company services over 25 cr. lives across India through a strong network of over 150 branches and 19000 plus empaneled hospitals and service providers. We are ISO 9001:2018 and 27001:2018 certified. We are associated with all the PSUs and 25 major private insurance companies. We believe in Care, Client Value Retention, Integrity, Respect, Nurturing, and Automation. Website - https://mdindiaonline.com Job Description Designation - Sr.Executive (Data Scientist) Location - Wadgaonsheri, Pune Experience - 2 to 3 yrs Type - On site, Full Time Work Mode - Office only Responsibilities Analyze large volumes of structured and unstructured data to extract meaningful insights. Build and deploy predictive models using machine learning algorithms. Design and execute A/B tests and experiments to validate hypotheses. Collaborate with business stakeholders to identify opportunities where data science can add value. Visualize data and communicate findings through dashboards and presentations. Work with data engineering teams to improve data availability, integrity, and pipelines. Requirements and skills Proven experience as a Data Scientist Understanding and experience of machine-learning, NLP . Knowledge of R, SQL and Python . Experience using business intelligence tool (e.g. Power bi ) would be an advantage and operations research Analytical mind and business acumen Strong math skills (e.g. Statistics, Algebra, Probability ) Problem-solving aptitude Key Skills Machine Learning, Python, SQL, NLP, Deployment. Benefits 1. Exposure in fastest growing industry 2. Experience in domain and support 3. In depth experience in Data Science If interested, kindly share your resume to bshinde@mdindia.com with below required details- Total Experience- Relevant Experience- Current CTC- Expected CTC- Current Company- Current Designation- Reason for leaving- Are you serving Notice period- If no, then Notice Period- How soon you can join, if selected- Current Location in Pune- Available for face to face interview- How many years of experience do you have in ML?- How many years of experience do you have in Python?- How many years of experience do you have in SQL?- Updated CV- Show more Show less

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. Job Description Job Description: As a Business Analyst in our AI Solutions team at Wipro Technologies, you will play a crucial role in developing novel AI approaches for healthcare utilizing structured and unstructured data. You will be responsible for building and testing deep learning and traditional ML models in a cloud computing environment, performing data analysis, pre-processing, and feature engineering to optimize AI models. Additionally, you will collaborate with cross-functional teams to deploy big data pipelines and frameworks, develop machine learning systems for various domains including NLP, NLU, and multidimensional time series forecasting. Moreover, you will experiment with custom AI models, conduct statistical analyses, and communicate insights effectively to stakeholders. Responsibilities: Develop AI approaches for healthcare using structured and unstructured data Build and test deep learning and traditional ML models in a cloud environment Analyze data, pre-process, and engineer features to optimize AI models Deploy big data pipelines and frameworks for data analysis Collaborate with cross-functional teams to develop machine learning systems in various domains Experiment with custom AI models, conduct statistical analyses, and communicate insights to stakeholders Mandatory Skills: AI Cognitive. Experience: 5-8 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Summary We are seeking a talented and motivated Data Scientist to join our dynamic team. The ideal candidate will possess strong technical skills in machine learning, natural language processing (NLP), generative AI, graph neural networks, and topic modeling. You will also be adept at designing experiments to validate hypotheses and drive decision-making. About The Role Key Responsibilities: Develop and deploy scalable machine learning models to address business challenges. Utilize NLP techniques to extract insights from unstructured text data. Implement graph neural networks to analyze relational data and uncover complex patterns. Conduct topic modeling to distill key themes from large datasets. Design, implement, and analyze experiments to inform data-driven decisions. Collaborate with cross-functional teams to identify, define, and solve challenging problems. Communicate findings and recommendations to stakeholders in a clear and concise manner. Continuously stay updated with the latest advancements in data science, machine learning, and related fields. Required Qualifications And Skills Bachelor’s degree in computer science, Statistics, Mathematics, or a related field. Proven experience in machine learning, NLP, and generative AI. Proficiency in graph neural networks and topic modeling. Skills in deep learning architecture and training neural networks Strong programming skills in Python, R, or a similar language. Excellent analytical, problem-solving, and critical-thinking skills. Ability to communicate complex technical concepts to non-technical audiences. Preferred Qualifications And Skills Master's or Ph.D. in a relevant field Bachelor’s from reputed college with keen desire to learn Experience in the design of experiments and statistical analysis. Knowledge of cloud platforms (e.g., AWS, Google Cloud, Azure). Strong project management and organizational skills. Languages English. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Show more Show less

Responsible for designing and delivering AI/ML use cases aligned with business needs and extracting actionable insights. Education: Bachelors in Data Science, Business Analytics, or related field Skills: Python, Power BI, Azure ML, Databricks Integrations/GenAI: Collaboration on LLM use cases and prompt design Collaboration Tools: Azure DevOps, Confluence Show more Show less

Responsible for building, deploying, and maintaining AI/ML models and pipelines, with a focus on technical integrations and MLOps. Education: Bachelors in Computer Science, AI, or related field Skills: Python, Azure ML, Databricks, TensorFlow, Kubernetes, Docker, Prompt Engineering Integrations/GenAI: Generative LLMs (e.g., Azure OpenAI APIs) Collaboration Tools: Azure DevOps, Confluence Show more Show less

Designation - Sr. Consultant Experience in any two of the following programming languages: Python, Java, R, or .Net Proficiency in at least one database technology such as SQL, MongoDB, etc. Hands-on experience with AI stacks, including: PyTorch, TensorFlow, NVIDIA NeMo/NIM, Unsloth Agentic AI frameworks like LangGraph, MS AI Foundry Hugging Face, ChromaDB, FAISS, etc. Experience with MLOps and AI deployment infrastructure Proficiency in cloud platforms such as AWS, Azure, or Google Cloud Knowledge of responsible AI practices, including bias mitigation and ethical AI usage

We are looking for an experienced and passionate Data Science Trainer who can deliver high-quality training to students, working professionals, and corporate clients. The ideal candidate should be proficient in the latest tools and technologies in the data science field and have a passion for teaching and mentoring. Key Responsibilities: Deliver Engaging Training Sessions: Conduct in-depth, interactive training sessions (online/offline) on core Data Science topics, including Python programming, statistics, machine learning, and data visualization. Curriculum Development: Design, structure, and regularly update course content, projects, and assessments based on current industry standards and student needs. Hands-On Project Guidance: Mentor students on capstone and real-time projects using real-world datasets to strengthen their practical skills and portfolio. Technical Evaluation: Develop and assess assignments, quizzes, and case studies to measure students progress and provide constructive feedback. Interview Preparation: Conduct mock interviews, technical tests, and soft skills sessions to prepare students for job placements in data-related roles. Technology Upgradation: Stay updated with evolving tools and technologies like TensorFlow, Power BI, Tableau, Spark, and integrate them into training modules as needed. Mentorship & Support: Provide personalized mentorship and career guidance to help learners overcome challenges and reach their goals. Corporate & Workshop Training (Optional): Conduct specialized workshops, webinars, and corporate training sessions based on demand. Key Skills Required: Strong knowledge of Python , NumPy , Pandas , Matplotlib , Seaborn Proficiency in Machine Learning (Supervised & Unsupervised algorithms) Hands-on experience with Scikit-learn , TensorFlow , or Keras Familiarity with SQL , Statistics , Data Wrangling , and Data Visualization Exposure to Deep Learning , NLP , and Big Data Tools is a plus Experience with platforms like Jupyter Notebook , Google Colab Strong communication and presentation skills Why Join Uncodemy? Work with a passionate and skilled team of trainers. Opportunity to shape the careers of aspiring professionals. Flexible working hours and a positive work environment.

Job Requirements Role/ Job Title: Data Scientist Function/ Department: Data & Analytics Job Purpose In this specialized role, you will leverage your expertise in machine learning and statistics to derive valuable insights from data. Your role will include developing predictive models, interpreting data and working closely with out ML engineers to ensure the effective deployment and functioning of these models. Key / Primary Responsibilities Lead cross-functional teams in the design, development, and deployment of Generative AI solutions, with a strong focus on Large Language Models (LLMs). Architect, train, and fine-tune state-of-the-art LLMs (e.g., GPT, BERT, T5) for various business applications, ensuring alignment with project goals. Deploy and scale LLM-based solutions, integrating them seamlessly into production environments and optimizing for performance and efficiency. Develop and maintain machine learning workflows and pipelines for training, evaluating, and deploying Generative AI models, using Python or R, and leveraging libraries like Hugging Face Transformers, TensorFlow, and PyTorch. Collaborate with product, data, and engineering teams to define and refine use cases for LLM applications such as conversational agents, content generation, and semantic search. Design and implement fine-tuning strategies to adapt pre-trained models to domain-specific tasks, ensuring high relevance and accuracy. Evaluate and optimize LLM performance, including handling challenges such as prompt engineering, inference time, and model bias. Manage and process large, unstructured datasets using SQL and NoSQL databases, ensuring smooth integration with AI models. Build and deploy AI-driven APIs and services, providing scalable access to LLM-based solutions. Use data visualization tools (e.g., Matplotlib, Seaborn, Tableau) to communicate AI model performance, insights, and results to non-technical stakeholders. Secondary Responsibilities Contribute to data analysis projects, with a strong emphasis on text analytics, natural language understanding, and Generative AI applications. Build, validate, and deploy predictive models specifically tailored to text data, including models for text generation, classification, and entity recognition. Handle large, unstructured text datasets, performing essential preprocessing and data cleaning steps, such as tokenization, lemmatization, and noise removal, for machine learning and NLP tasks. Work with cutting-edge text data processing techniques, ensuring high-quality input for training and fine-tuning Large Language Models (LLMs). Collaborate with cross-functional teams to develop and deploy scalable AI-powered solutions that process and analyze textual data at scale. Key Success Metrics Ensure timely deliverables. Spot Training Infrastructure fixes. Lead technical aspects of the projects. Error free deliverables. Education Qualification Graduation: Bachelor of Science (B.Sc) / Bachelor of Technology (B.Tech) / Bachelor of Computer Applications (BCA) Post-Graduation: Master of Science (M.Sc) /Master of Technology (M.Tech) / Master of Computer Applications (MCA Experience: 5-10 years of relevant experience Show more Show less