205 Random Forest Jobs

JOB DESCRIPTION: Bachelors / Masters degree in Engineering, Applied Mathematics or related field Strong analytics skills: ability to assess data, drive insights, and make recommendations. Strong experience in manipulating data sets and building statistical models. Strong problem-solving skills with an emphasis on product development. Chemical engineers with APC/APM experience shall be added advantage Experience supporting fast-paced startup engineering teams In-depth understanding of the latest trends and developments in AI and ML, especially in generative models and LLM (both Cloud and OnPrem). Proficiency in programming languages & libraries o Cloud: AWS, Azure. o Languages: Advanced Python, pySpark o Framework: Lambda , Django, Express. o Database: Postgres, Mongo, ES Hands on experience in Design and development including Automated Unit testing (pyTest) with strong technical background to create performant & extendible applications Minimum 3 years of relevant experience in data science related product development Interested candidates share your updated Cv to the below mail Id. saloni_k@trigent.com

National Payment Corporation of India (NPCI) is Hiring! Hiring Data Scientist (with Statistics, Quantitative Economics, Operations Research (OR), Bayesian Modelling experience only) Experience: 5 - 10 Years (Mandatory)Tier-1 schools/colleges: ISI, IITs (Kharagpur, Chennai, Kanpur and Bombay), BITS and DSE ( D elhi S chool of E conomics) or any similar Mandatory (Must) Must have experience of 5-10 years working in Statistics, Quantitative Economics, Operations Research (OR), Bayesian Modelling or any similar fields (Must) Atleast a Bachelors level education in Statistics, Economics, Industrial Engineering or any similar fields from Tier-1 schools/colleges Exposed to Supervised and Un-supervised Learning methods/algorithms from all genres viz. Statistical (e.g. Logistic, Discriminant, K-means etc), Machine Learning (e.g. Random Forest, SVM etc), or Deep Learning (e.g. NN, CNN etc) Excellent Python and SQL skills handling large volume of data have the flair to pick-up any language/technology/tool in quick time Passion in solving business problems with data Good storytelling and articulation skills Good teaming skills Proactive and can figure out things on his/her own attitude Should have good sense of ownership Ability to manage projects from conceptualization to presentation/delivery/adoption Good-to-have Some banking /finance background Worked with multiple business partners kind of scenario/environment Some stakeholder management skills External conference presentations / White Papers / Articles Publishing / Patents Some exposures using Google OR, IBM ILOG etc OR tools Some exposure to NLP ( N atural L anguage P rocessing)

Role Overview: As a Data Scientist at mPokket, you will be responsible for collaborating with the data science team to plan projects and build analytics models. Your strong problem-solving skills and proficiency in statistical analysis will be key in aligning our data products with our business goals. Your primary objective will be to enhance our products and business decisions through effective utilization of data. Key Responsibilities: - Oversee the data scientists" team and data specialists, providing guidance and support. - Educate, lead, and advise colleagues on innovative techniques and solutions. - Work closely with data and software engineers to implement scalable sciences and technologies company-wide. - Conceptualize, plan, and prioritize data projects in alignment with organizational objectives. - Develop and deploy analytic systems, predictive models, and explore new techniques. - Ensure that all data projects are in sync with the company's goals. Qualifications Required: - Master's degree in Computer Science, Operations Research, Econometrics, Statistics, or a related technical field. - Minimum of 2 years of experience in solving analytical problems using quantitative approaches. - Proficiency in communicating quantitative analysis results effectively. - Knowledge of relational databases, SQL, and experience in at least one scripting language (PHP, Python, Perl, etc.). - Familiarity with statistical concepts such as hypothesis testing, regressions, and experience in manipulating data sets using statistical software (e.g., R, SAS) or other methods. Additional Details: mPokket is a company that values innovation and collaboration. The team culture encourages learning and growth, providing opportunities to work on cutting-edge technologies and projects that have a real impact on the business. Thank you for considering a career at mPokket.,

As a leader in supporting AWM LFO Predictive Analytics Ameriprise India team, you will be responsible for leading advanced data science work and collaborating with cross-functional teams to recommend and implement analytical solutions for the Advise & Wealth Management business. **Key Responsibilities:** - Analyze, design, develop, and implement decision support models and data visualizations using tools like Python, Microsoft Excel/PowerBI. - Develop innovative analytical solutions such as segmentation, predictive modeling, simulation modeling, and optimization. - Maintain infrastructure systems connecting internal data sets and create new data collection frameworks. - Interact with business partners to analyze and interpret business needs, translating top-level goals into quantifiable analysis activities. - Develop presentation decks and effectively communicate with business leaders. - Demonstrate thought leadership in solving complex business problems. - Drive team performance and ensure strong people development for high performance. **Required Qualifications:** - Engineering (B.E./ B.Tech.) graduate or Masters in Stats, Quant, Mathematics, OR, etc. from a well-recognized institute; MBA degree preferred. - 12+ years of experience in Data Science. - Hands-on experience in complex analytics projects using advanced statistical methods. - Proficiency in Python, cloud computing (AWS), SQL, and Data Lake experience. - Ability to effectively present complex technical materials to business leaders. - Strategic thinker providing technical solutions for complex business problems. - Excellent knowledge of MS Office Suite. - In-depth knowledge of the financial services industry with a focus on risk. - People leadership experience with prior team management responsibilities. **Preferred Qualifications:** - Ability to engage business partners and finance personnel with clear, data-backed insights. - Experience working with AWS Cloud framework and associated tools. - Experience working in a data lake environment. - Knowledge of tools like DataIku, PowerBI, Tableau, and other BI and analytical tools. At Ameriprise India LLP, we have been providing client-based financial solutions for 125 years. Join our inclusive and collaborative culture that rewards contributions and offers opportunities for growth. Make your mark and a difference in your community by creating a career at Ameriprise India LLP. (Note: The additional details about the company have been omitted as they were not explicitly mentioned in the job description.),

About the Role Were seeking a Machine Learning Engineer with strong expertise in Python, PySpark, and ML frameworks to work on advanced AI/ML projects. The role involves building, maintaining, and optimizing ML models, conducting data exploration, and applying cutting-edge algorithms to deliver actionable insights. Primary Skills & Responsibilities 6-8 years of programming experience in Python / PySpark with ML libraries Strong understanding of ML concepts: Probabilistic Models, Supervised & Unsupervised Learning, Ensemble Techniques, Hyperparameter Tuning Experience with constraint optimization and deep learning models Proven experience in building ML models: Regression, Logistic Regression, Random Forest, XGBoost, SVM, Clustering, etc. Ability to explore data and communicate insights effectively to technical & non-technical stakeholders Expertise in scikit-learn, h2o, R/MLlib, Databricks ML services Strong problem-solving and research skills; ability to apply new methodologies to practical scenarios Nice to Have Experience with Databricks ML services Familiarity with cloud-based ML pipelines Exposure to advanced ML frameworks Send your updated resume to with the following details Location-Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad,Remote

YASH Technologies is a leading technology integrator dedicated to helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we comprise a team of talented individuals working with cutting-edge technologies. Our mission revolves around making real positive changes in an increasingly virtual world, transcending generational gaps and future disruptions. We are currently seeking AI/ML Professionals for the position of AI/ML Technical Lead with at least 10-12 years of experience. As a Technical Lead, you will play a pivotal role in leading complex data science projects, guiding junior data scientists, and spearheading the development of innovative solutions that utilize data to achieve business goals. Your responsibilities will include applying your expertise in machine learning, statistical modeling, and data analysis to extract actionable insights and drive strategic decision-making. Responsibilities: - Taking ownership of end-to-end delivery of ML and GenAI use cases. - Designing RAG pipelines and constructing enterprise-scale GenAI accelerators. - Collaborating with architects and presales teams. - Ensuring code modularity, testability, and governance. - Engaging with product managers and business stakeholders to comprehend requirements and deliver practical AI solutions. - Providing guidance and mentorship to junior team members. - Managing project timelines, resources, and risk assessments. - Collaborating with Data Engineers, AI/ML Engineers, Full Stack Engineers, and QA Engineers for seamless integration of AI solutions. - Keeping abreast of advancements in AI/ML technologies and best practices. Required Skills: - Profound background in AI/ML model development and deployment. - Proficiency in Python, R, and other AI-related programming languages. - Experience in managing cross-functional teams in an Agile environment. - Strong grasp of data science, cloud computing, and AI/ML frameworks such as TensorFlow, PyTorch, etc. - Familiarity with LangChain, LangGraph, embedding techniques, and prompt engineering. - Knowledge of Classical ML algorithms like XGBoost, Random Forest, and time-series forecasting. At YASH, you have the opportunity to craft a career path that aligns with your aspirations while working in an inclusive team setting. We embrace career-oriented skilling models and leverage technology for continuous learning, unlearning, and relearning at a rapid pace and scale within our Hyperlearning workplace. Our workplace ethos is built on flexibility, emotional positivity, trust, transparency, open collaboration, and unwavering support to achieve business objectives, all within a stable and ethical corporate culture.,

About Info Edge: InfoEdge's mission is to create world-class platforms that transform lives by continuously innovating. Our products and services are built keeping our customers in mind. We always delight our customers by delivering superior value through enhanced offerings on the internet and other platforms. Through our continuous investment across various businesses, especially in cutting-edge technology, machine learning and artificial intelligence (AI), we have built a robust system that constantly increases our predictive powers on customer behaviour, and optimizes and improves our systems. Our various teams tirelessly work together to solve problems, innovate, and create something to empower our customers. At Info Edge, people are our core competitive advantage and we will continue doing all that is needed to attract and retain the best available talent. * About BU: Corporate Function * Required Educational Qualification: PhD/ MTech / BTech with relevant experience from Tier 1 Campus only. * Desired Experience: 0 - 5 Years * Job Objective: You will be building innovative Machine Learning solutions for vital and complex business problems. *Fill this form to proceed further: ( https://tinyurl.com/FAIscientist ) Job Description: As AI Scientist you will: Develop algorithms and build systems to extract seemingly unseen trends and information from user content such as resumes, job description and profile information available through various sources and in different modalities such as numeric, structure and unstructured texts and images. Identify potential new business problems that can be solved through machine learning. Ideate, formulate, create metrics and execute on such problems and get buy in from business. Identify potential data-driven machine learning solutions to improve user experience through personalization and prediction of user preferences. Build intelligent systems to capture and model the vast amount of behavior data to enrich the content understanding with behavioral information. Identify the appropriate and cutting edge machine learning tools for various supervised and unsupervised tasks in the NLP, deep learning, semantic search, LTR space for building highly accurate and scalable recommendation systems and information retrieval solutions. Design solutions for scalable and real-time performance on a significantly large data set. Use big data technologies to optimally use infrastructure and improve performance. Participate in external forums /discussions, publish research papers, keep up-to-date on latest publications and build external/internal networks. Required Skills: Strong fundamental understanding and research experience in machine learning/Deep Learning/NLP/Information Retrieval/Artificial Intelligence areas. Strong applied knowledge of machine learning in solving real-world business problems with a significantly broad number of algorithms covering the landscape of classification, regression; discriminative, generative; supervised, unsupervised, semi-supervised; linear and non-linear dimensionality reduction, feature-extraction, feature selection, feature-learning. Industry experience in applying a variety of machine learning solutions to real-world large-scale data to build intelligent systems. An excellent problem solving skills with a research oriented approach. Ability to capture, manage, create pipelines and process Big Data. Desired Skills: Ability to understand Business challenges and define solutions aligned to the needs.

As a Data Scientist Associate Manager at Accenture, you will play a crucial role in leading the design, development, and implementation of AI/ML-powered procurement and analytics solutions. Your responsibilities will involve collaborating with cross-functional teams to create platforms that identify cost-saving opportunities, enhance supplier management, and provide business intelligence to enterprise clients. Your main tasks will include analyzing procurement spend through various techniques to classify it into a custom taxonomy within Accenture's spend analytics tool. You will also be involved in gathering data from different sources during calls with stakeholders, assessing data quality, identifying gaps, and creating summaries based on database requirements. Additionally, you will assist in creating data cleansing rules and integrating data clarifications provided by data source owners. To excel in this role, you must have hands-on experience in Python, particularly with threading limitations and multi-process architecture. Proficiency in MySQL for integrating multiple data sources is essential. Strong coding skills in various languages such as R, SQL, JavaScript, Java, CSS, and C++ are required. Knowledge of statistical and data mining techniques like GLM/Regression, Random Forest, Boosting, Trees, text mining, and social network analysis is beneficial. Experience with advanced machine learning algorithms and statistics, including regression, simulation, scenario analysis, modeling, clustering, decision trees, and neural networks, will be an advantage. The ideal candidate should have 6-12 years of relevant work experience in data modeling, ETL automation, AI/ML, and front-end design. Extensive experience in handling and classifying spend data using AI/ML techniques is crucial. Strong leadership and team management skills are necessary. Proficiency in MS Excel and MS PowerPoint, along with high attention to detail, accuracy, and innovative problem-solving skills, are important. Preferred experience in supply chain management, specifically in applying AI/ML techniques to optimize operations, is desirable. Accenture is a global company known for its innovative solutions and commitment to excellence. If you have 7+ years of experience and hold a degree in BE, BTech, BSC, or MBA, we encourage you to apply and be part of our dynamic team.,

We are hiring an ML Engineer/ML Ops Engineer with 5+ years’ experience to design scalable ML pipelines, deploy production-ready models, and implement CI/CD for enterprise AI systems. Strong skills in ML algorithms, MLOps, & data engineering required. Required Candidate profile Experienced ML/MLOps Engineer with expertise in ML pipelines,scalable model deployment,CI/CD,automation, & advanced machine learning algorithms.Strong background in software engineering &data systems.

The role of AVP, Credit Model Development at Synchrony involves managing credit models through their lifecycle, from initiation to retirement. You will be responsible for activities such as model development, evaluation, validation, monitoring, implementation testing, and documentation. Your role will also include working on experimental models using machine learning techniques and acting as a single point of contact for all assessments by the Risk Management team. Key responsibilities include validating and monitoring internal and external credit models, collaborating with various teams to track and understand model performance, supporting Model Risk Management team, developing credit and fraud models, and leading automation projects. You will work closely with stakeholders, provide analytic support on key business initiatives, and mentor junior team members. The ideal candidate should have a Bachelor's degree with a quantitative background and at least 3 years of experience in an analytical role related to consumer lending. Proficiency in SAS/SQL, Python/Pyspark, and reporting tools like Tableau is required. Knowledge of statistical and machine learning techniques such as logistic regression, random forest, and XGBoost is essential. Strong communication skills, time management abilities, and attention to detail are also important. Desired skills include working knowledge of credit bureau data, familiarity with US Model Governance trends, and credit policies in the credit card sector. The work timings for this role are between 06:00 AM Eastern Time and 11:30 AM Eastern Time, with flexibility outside these hours for employees to choose. Internal applicants should meet specific eligibility criteria and discuss with the hiring manager before applying. This position offers opportunities for career advancement, skill development, interaction with executive leadership, and exposure to diverse perspectives within the organization. If you are a motivated individual with a passion for credit model development and a strong analytical background, we encourage you to apply for this exciting opportunity at Synchrony.,

We are a technology-led healthcare solutions provider driven by our purpose to enable healthcare organizations to be future-ready. Our goal is to offer accelerated, global growth opportunities for talent that is bold, industrious, and nimble. At Indegene, you will gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration, and empathy. If you are looking to explore exciting opportunities at the convergence of healthcare and technology, visit www.careers.indegene.com. Are you ready to jump-start your career We understand the importance of the first few years of your professional journey, which lay the foundation for your entire career. At Indegene, we promise you a differentiated career experience where you will work at the exciting intersection of healthcare and technology and be mentored by industry experts. We offer a global fast-track career path that aligns with Indegene's high-speed growth. We are purpose-driven, enabling healthcare organizations to be future-ready, with customer obsession as our driving force. Our approach is bold in actions, nimble in decision-making, and industrious in our work ethic. If this excites you, then apply for the role of Senior Data Analyst at Indegene. Overview: We are seeking a dynamic and experienced Senior Data Analyst to join our team. As a Senior Data Analyst, you will play a pivotal role in creating and designing machine learning (ML) and analytics solutions in the pharmaceutical analytics domain. Key Responsibilities: - Collaborate with managers and onshore counterparts to assess client requirements and objectives, including implementing Omnichannel strategy - Analyze large and complex datasets related to sales, call plans, market share, patient outcomes, field segmentation, and more - Conduct ad hoc analyses to address specific business questions from cross-functional teams - Ensure data quality, accuracy, and consistency through regular quality checks, test cases, and validations - Utilize statistical and machine learning techniques to build predictive models (e.g., patient journey analysis, sales forecasting, MMx modeling) - Guide junior analysts and provide technical mentorship, especially in MLOps using DSS, ETL using Snowflake, and Pyspark coding Desired Profile - Qualifications: - Bachelor's or Master's degree in Computer Science, Data Science, or Pharmaceutical Sciences - 5 years of experience in leading analytical projects in the pharma domain - 3 years of experience in advanced analytics, including AI, machine learning, predictive modeling, advanced analytics, and statistical modeling - Experience in pharma commercial analytics is a plus - Proven track record of successfully implementing Omnichannel strategy or similar technologies in the pharmaceutical or related industry - Strong understanding of the pharma ecosystem, key data sources, industry trends, and compliance requirements - Excellent understanding of machine learning techniques and algorithms - Proficiency in data science techniques and tools including Python, SQL, PySpark, Dataiku, AWS cloud services, Git, Tableau, PowerBI, etc. - Experience in MLOps is an advantage - Strong analytical and problem-solving abilities with attention to detail - Willingness to work in a highly demanding and result-oriented team environment - Excellent communication skills to convey complex ideas clearly This is an equal opportunity position based in Bangalore, KA, IN.,

Join us as a Software Engineer This is an opportunity for a driven Software Engineer to take on an exciting new career challenge Day-to-day, you'll build a wide network of stakeholders of varying levels of seniority Its a chance to hone your existing technical skills and advance your career Were offering this role at associate vice president level What you'll do In your new role, youll engineer and maintain innovative, customer centric, high performance, secure and robust data science solutions. Youll be working within a feature team and using your extensive experience to engineer software, scripts and tools that are often complex, as well as liaising with other engineers, architects and business analysts across the platform. Youll be proactively bringing together statistical, mathematical, machine learning and software engineering skills to consider multiple solutions, techniques, and algorithms. In addition, youll be: Working with stakeholders to understand their complex requirements and needs of the business, form hypotheses and identify suitable statistical models to meet those needs Working in permanent teams who are responsible for the full life cycle, from initial development, through enhancement and maintenance to replacement or decommissioning Collaborating to optimise our software engineering capability Selecting, building, training, and testing complex machine models, considering model valuation, model risk, governance, and ethics throughout to implement and scale models Designing, producing, testing and implementing our working code Working across the life cycle, from requirements analysis and design, through coding to testing, deployment and operations The skills you'll need Youll need at least eight years of experience in statistical modelling , software engineering, software design, architecture, and an understanding of how your area of expertise supports our customers. Youll also need: Experience of using statistical software, database languages and big data technologies Experience in Python, building machine learning and statistical models Understanding to statistical techniques like linear regression, logistic regression, random forest, time series and K Means Experience in Azure Cloud technology Experience of turning business requirements into a statistical modelling solution

As a Quantitative Analytics Specialist at Wells Fargo, you will play a crucial role in independently overseeing the management of model risk exposures across the enterprise. Your responsibilities will include developing, implementing, and calibrating various analytical models, performing complex activities related to financial products and business analysis, and utilizing statistical and mathematical models using Python, R, SAS, C++, and SQL. You will also provide analytical support, offer insights on business initiatives, and analyze workflow processes to recommend improvements in risk management. To qualify for this role, you should have at least 2 years of Quantitative Analytics experience or equivalent demonstrated through work experience, training, military experience, or education. A Master's degree or higher in statistics, mathematics, physics, engineering, computer science, economics, or a quantitative discipline is required. Desired qualifications include experience in model validations for areas such as Treasury, Capital, Liquidity, Operational, and Business Planning, among others. You should be able to execute validation processes based on supervisory guidance, risk management policies, and industry best practices. Proficiency in Python, exposure to Balance sheet Models, and hands-on experience with quantitative methodologies will be beneficial. Additionally, you are expected to have practical quantitative programming experience with SAS, SQL, Python, and R, and be comfortable working with large datasets. Building and maintaining effective relationships with key partners and stakeholders, understanding model risk supervisory guidance, and continually striving to enhance the quality of independent model validation are also key aspects of this role. A PhD or Master's degree in relevant fields with 2+ years of experience is preferred. The shift timings for this role are from 1:30 PM to 10:30 PM. Candidates applying for this position are encouraged to support diversity initiatives. Wells Fargo values building strong customer relationships while maintaining a risk-mitigating and compliance-driven culture. Employees are responsible for executing risk programs and adhering to policies, procedures, and compliance obligations. Please note that the job posting may close early due to the volume of applicants. Wells Fargo is committed to maintaining a drug-free workplace and requires candidates to represent their own experiences during the recruitment and hiring process. If you have any disabilities and require accommodations during the application or interview process, please visit Disability Inclusion at Wells Fargo.,

Were Hiring: Machine Learning Engineer | Contract Role | India (Remote) Location: India (Remote open to candidates across India) Type: Contract Position About the Role Were seeking a Machine Learning Engineer with strong expertise in Python, PySpark, and ML frameworks to work on advanced AI/ML projects. The role involves building, maintaining, and optimizing ML models, conducting data exploration, and applying cutting-edge algorithms to deliver actionable insights. Primary Skills & Responsibilities - 6-8 years of programming experience in Python / PySpark with ML libraries Strong understanding of ML concepts: Probabilistic Models, Supervised & Unsupervised Learning, Ensemble Techniques, Hyperparameter Tuning Experience with constraint optimization and deep learning models Proven experience in building ML models: Regression, Logistic Regression, Random Forest, XGBoost, SVM, Clustering, etc.Ability to explore data and communicate insights effectively to technical & non-technical stakeholders Expertise in scikit-learn, h2o, R/MLlib, Databricks ML services. Strong problem-solving and research skills; ability to apply new methodologies to practical scenarios. Nice to Have - Experience with Databricks ML services Familiarity with cloud-based ML pipelines Exposure to advanced ML frameworks Location - Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote.

We are Hiring for a Leading Pharmaceutical company. Job Role:- Data Scientist. Experience:- 5 to 10 years Notice Period:- Immediate joiners/15days are only considered. Job Location:- Navi Mumbai- Airoli. Qualification: B. Tech/M. Tech/MCA JOB SUMMARY/OVERVIEW Role intended for management of Data and Digital projects of Advanced analytics, data initiatives, other AA/ML based solution Roles and Responsibilities Capturing requirements of projects related to Advanced analytics and Data Science Initiate and drive discussions of potential Data Science solutions with stakeholders of different business verticals Manage multiple projects and corresponding stakeholders ensuring timely and high-quality deliverables. Deliver components of digital business initiatives that identify, design, and implement technology solutions based on AA/ML. Post go-live monitoring and support to the end-to-end processes. Capturing and tracking functional requirements from business functions Train junior Data Science team members Soft-skills required Excellent problem-solving skills Analytical bent of mind, should be able to work with situation with ambiguity and come up with rational solutions Project management experience, should be able to quickly decide and prioritize actions to high quality and time bound deliverables Demonstrated hands-on experience in Python/R Hands-on experience of working on numpy, pandas, seaborn, matplotlib, sklearn, etc is mandatory Knowledge about Machine Learning models (Classification & Regression) is mandatory Working knowledge of wide array of generally used models in classification and regression such as Decision Tree, Random Forest, Bagging, Boosting. Experience of Pharma will be an advantage but not mandatory.

Practical in applying geometric concepts, with strong Python & SQL skills. Creative problem-solver, innovator, able to build agent-driven solutions. Senior dev with TDD, AWS knowledge preferred over Ph.D.

We are looking for a skilled professional to join our team. Total Years of Experience: We require candidates with 3 to 6 years of experience. Technical Skills: Strong SQL knowledge is essential. Candidates must also possess proven experience in building Machine Learning Classification and Regression Models Job Description: Data Scientist We're looking for a skilled and experienced Data Scientist to join our dynamic team . If you have a passion for fighting fraud and a strong background in machine learning, we encourage you to apply! What You'll Do: Develop, implement, and maintain advanced machine learning models for fraud detection, specifically focusing on Payment Fraud Risk and Merchant Fraud Risk. Utilize your strong SQL knowledge to extract, manipulate, and analyze large datasets. Collaborate with cross-functional teams to identify fraud patterns and enhance fraud prevention strategies. Contribute to the continuous improvement of our fraud detection systems and methodologies. What We're Looking For: Experience: 3-5 years of hands-on experience in data science Technical Prowess: Strong proficiency in Excel, SQL, PySpark and Python Demonstrated experience in building and deploying Machine Learning Classification and Regression Models, particularly for fraud detection.

Were Hiring: Machine Learning Engineer | Contract Role | India (Remote) Location: India Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune,Remote (Remote open to candidates across India) Type: Contract Position About the Role Were seeking a Machine Learning Engineer with strong expertise in Python, PySpark, and ML frameworks to work on advanced AI/ML projects. The role involves building, maintaining, and optimizing ML models, conducting data exploration, and applying cutting-edge algorithms to deliver actionable insights. Primary Skills & Responsibilities 6-8 years of programming experience in Python / PySpark with ML libraries Strong understanding of ML concepts: Probabilistic Models, Supervised & Unsupervised Learning, Ensemble Techniques, Hyperparameter Tuning Experience with constraint optimization and deep learning models Proven experience in building ML models: Regression, Logistic Regression, Random Forest, XGBoost, SVM, Clustering, etc. Ability to explore data and communicate insights effectively to technical & non-technical stakeholders Expertise in scikit-learn, h2o, R/MLlib, Databricks ML services Strong problem-solving and research skills; ability to apply new methodologies to practical scenarios Nice to Have Experience with Databricks ML services Familiarity with cloud-based ML pipelines Exposure to advanced ML frameworks

Were Hiring: Machine Learning Engineer | Contract Role | India (Remote) Location: India Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, (Remote open to candidates across India) Type: Contract Position About the Role Were seeking a Machine Learning Engineer with strong expertise in Python, PySpark, and ML frameworks to work on advanced AI/ML projects. The role involves building, maintaining, and optimizing ML models, conducting data exploration, and applying cutting-edge algorithms to deliver actionable insights. Primary Skills & Responsibilities 68 years of programming experience in Python / PySpark with ML libraries Strong understanding of ML concepts: Probabilistic Models, Supervised & Unsupervised Learning, Ensemble Techniques, Hyperparameter Tuning Experience with constraint optimization and deep learning models Proven experience in building ML models: Regression, Logistic Regression, Random Forest, XGBoost, SVM, Clustering, etc. Ability to explore data and communicate insights effectively to technical & non-technical stakeholders Expertise in scikit-learn, h2o, R/MLlib, Databricks ML services Strong problem-solving and research skills; ability to apply new methodologies to practical scenarios Nice to Have Experience with Databricks ML services Familiarity with cloud-based ML pipelines Exposure to advanced ML frameworks

Following Machine Learning algorithms: Regression ,Time Series,Logistic Regression,Naive Bayes,kNN, SVM,Decision Trees,Random Forest,k-Means Clustering etc. NLP, Text Mining,LLM (GPTs),OpenAI , Azure OpenAI, AWS Bed rock, Gemini, Llama, Deepseek etc. Required Candidate profile Work closely with internal BU’s and business partners (clients) to understand their business problems and translate them into data science problems

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, you will be part of a team of bright individuals working with cutting-edge technologies. Our purpose is centered around making real positive changes in an increasingly virtual world, transcending generational gaps and disruptions of the future. We are currently seeking a Lead Data Scientist to join our team. As a Lead Data Scientist, you will take on the responsibility of leading complex data science projects, mentoring junior data scientists, and spearheading the development of innovative solutions that utilize data to meet business objectives. Your role will involve leveraging your expertise in machine learning, statistical modeling, and data analysis to derive actionable insights and steer strategic decision-making. Experience: 8-11 Years Job Type: Full-time Responsibilities: - Take ownership of ML and GenAI use cases from end to end. - Design RAG pipelines and construct enterprise-scale GenAI accelerators. - Collaborate with architects and presales teams. - Ensure code modularity, testability, and governance. Required Skills: - Familiarity with LangChain, LangGraph, embedding techniques, and prompt engineering. - Proficiency in Classical ML techniques such as XGBoost, Random Forest, and time-series forecasting. - Knowledge of Python ML stack and FastAPI. - Strong grasp of security practices and cloud optimization. At YASH, you will have the opportunity to shape a career that aligns with your aspirations within an inclusive team environment. We prioritize career-oriented skilling models and harness technology to facilitate continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is built on four key principles: - Flexible work arrangements, Free spirit, and emotional positivity - Agile self-determination, trust, transparency, and open collaboration - Support for the realization of business goals - Stable employment with a great atmosphere and ethical corporate culture,

As a Senior Data Scientist at Zinnia, you will be a vital member of our team, playing a key role in developing cutting-edge solutions to drive the growth of life and annuities products. Your expertise in machine learning and forecasting will be instrumental in influencing decision-makers and shaping the future of our business. In this high-impact role, you will independently own and build forecasting models, working closely with stakeholders from Product, Data Engineering & Analytics, and Business Strategy. By leveraging data from various sources, you will provide valuable insights and develop new data-driven tools to enhance customer experiences and streamline internal processes. Your responsibilities will include developing machine learning applications using Python, implementing supervised and unsupervised models such as random forest, gradient boosting, and support vector machines. You will also work on advanced modeling techniques like reinforcement learning and neural networks to deliver prescriptive insights and automated decision-making capabilities. Moreover, you will collaborate with data engineering teams to ensure the quality of data, conduct experiments to measure model impact, and manage training pipelines effectively. Your role will involve translating complex business problems into actionable data science projects and deploying models to production infrastructure. As a mentor and collaborator, you will work with other data scientists and data analysts to foster a culture of learning and innovation within the team. Additionally, you will partner with marketing teams to conceptualize applications that drive company growth and strategy, connecting machine learning solutions with business needs. To excel in this role, you should have a minimum of 5 years of experience in building and validating machine learning models in Python. Your expertise should cover a range of model techniques including supervised and unsupervised learning, as well as advanced techniques like neural networks and natural language modeling. Experience with relational cloud databases and unstructured datasets will also be crucial for success in this position. If you are a highly motivated individual with a passion for data science, a drive to solve complex business challenges, and a desire to make a significant impact in the insurance industry, we invite you to join us at Zinnia and be part of our mission to protect financial futures through innovation and data-driven insights.,

Role & responsibilities We seek Data Scientist to join the Forecasting & Planning Research team. The data scientists will be responsible for modeling complex problems, discovering insights and identifying opportunities through the use of statistical, machine learning, algorithmic, data mining and visualization techniques. They are also responsible for moving the models to productionenvironment and automate with appropriate drift monitoring and model improvement process. They will need to collaborate effectively with internal stakeholders and cross-functional teams to understand requirements, solve problems, create operational efficiencies, and deliver successfully against high organizational standards. The candidates should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally, the candidates should be an effective communicator capable of independently driving issues to resolution, communicating insights to non-technical audiences and documenting the artifacts. This is a high impact role with goals that directly impacts the bottom line of the business. Preferred candidate profile Key Deliverables: • Development of accurate and reliable workforce forecasting models. • Automate training and forecasting by deploying data and model pipelines on AWS cloud infrastructure with drift monitoring with emphasis on accuracy and speed • Building Project launch impact estimates model using tools such as of analytics, time series, probability and deep learning. • Reduce MAPE (forecasting accuracy) across different risk functions. • Automate data ingestion for Project inputs from Excel to forecasting models • Improved data quality through rigorous cleaning and transformation processes and automating them. • Clear documentation of the code and artifacts. • Actionable insights derived from data analysis to support strategic decisions. • Experiment with latest forecasting algorithms & processes to optimize existing modeling infrastructure. Qualification Needed: • 5+ years of data scientist experience, preferably with Forecasting systems & Operational Research • 3+ years of data querying languages (e.g. SQL) and scripting languages (e.g. Python) experience • 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience • 3+ years of AWS cloud experience building end-to-end products deploy, monitor and update them using tools such as Amazon SageMaker pipelines and docker containers. • Experience applying theoretical models in an applied environment • Understanding of demand forecasting & impact on operational capacity planning • Knowledge of time series models and deep learning for time series are an asset.

A strong level of proficiency in python programming. Practical knowledge and working experience on Statistics and Operation Research methods. Practical knowledge and working experience in tools and frameworks like Flask, PySpark,Pytorch,tensorflow, keras, Databricks, OpenCV, Pillow/PIL, streamlit, d3js, dashplotly, neo4j. Hands on experience in Analytics/AI-ML AWS services like Sagemaker, Canvas, Bedrock. Good understanding of how to apply predictive and machine learning techniques like regression models, XGBoost, random forest, GBM, Neural Nets, SVM etc. Proficient with NLP techniques like RNN, LSTM and Attention based models and effectively handle readily available stanford, IBM, Azure, Open AI NLP models. Good understanding of SQL from a perspective of how to write efficient queries for pulling the data from database. Hands on experience on any version control tool (github, bitbucket). Experience of deploying ML models into production environment experience (MLOps) in any one of the cloud platforms like Azure and AWS. Understanding business needs / mapping it to the business processes. Hands on experience in agile project delivery. Good in conceptualizing and visualizing end to end business needs both at high level as well as detailed. Good in articulating the business needs. Good analytical and problem-solving skills. Good communication, listening and probing skills. Strong inter-personnel skills. Should collaborate with other team members and work as team. Job Description: Comprehend business issues and propose valuable business solutions. Design Factual or AI/profound learning models to address business issues. Design Statistical Models/ ML/DL models and deploy them for production. Formulate what information is accessible from where and how to augment it. Develop innovative graphs for data comprehension using d3js, dashplotly and neo4j. Preferred Certification: (Good to have) AWS Specialty Certification in Data Analytics, Machine Learning.

You are an experienced data scientist with a proven track record of solutioning and delivering AI/ML solutions. You will conduct and manage analysis and modeling, as well as communicate results to senior stakeholders. You will lead the design and development of advanced analytical solutions, transforming large data into meaningful business insights either individually or with junior team members. Collaborating with cross-functional teams, you will frame project outlines to understand business problems and leverage available data and systems to address them. Regularly building and presenting strong narratives based on insights and impact to senior stakeholders, you will implement and maintain solution quality effectively, providing data and metrics compliant with the business. Mentoring and guiding junior data scientists will be part of your responsibilities, offering support in developing their technical skills and aiding in their career growth. Your skills should include strong analytical and data interpretation capabilities, proficiency in programming languages such as SQL and Python for Data Science, and hands-on experience in implementing various statistical and machine learning algorithms like regression, clustering, Random Forest, SVM, and neural networks. Experience in building AI/ML solutions on cloud platforms is preferred. You should have the ability to thrive in a fast-paced environment, managing multiple projects simultaneously, and possess strong written and verbal communication skills. Location: Mumbai,