540 Predictive Modeling Jobs - Page 22

Req ID: 318185 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Mid Data Science & AIML, GenAI Lead/Engineer to join our team in Mumbai, Maharashtra (IN-MH), India (IN). "Job DutiesJob TitleData Science & AIML, GenAI Lead/Engineer Key Responsibilities: Develop and implement traditional machine learning algorithms. Deploy at least one model in a production environment. Write and maintain Python code for data science and machine learning projects. Minimum Skills RequiredPreferred Qualifications: Knowledge of Deep Learning (DL) techniques. Experience working with Generative AI (GenAI) and Large Language Models (LLM). Exposure to Langchain. LocationNCR and Mumbai" #GenAINTT About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies.Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us atus.nttdata.com NTT DATA endeavors to make https://us.nttdata.comaccessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here. Job Segment Consulting, Database, Technology

GM Analytics Solutions is looking for a driven, dedicated and experienced Data Scientist Essential Responsibilities: As a Data Scientist, you will solve complex challenges and identify new opportunities using a combination of Data analytical expertise, business acumen, strategic thinking, and project & relationship management skills. He/she will work with the Product Owner, VP of IT capture business requirements, The Data Scientist will partner with the development team (on-site and off-shore) to execute the projects. Must have strong knowledge about statistical techniques like segmentation, predictive modeling, statistical modeling clustering, linear regression, logistic regression, SVM, Random Forest, Gradient Boosting, Optimization and time series forecasting to derive meaningful insights from data and to build high level solutions that predict and optimize business outcomes based on client's success criterion. Requirement: Minimum with 3 years hands-on in machine learning algorithms Should be familiar with Supervised and Unsupervised algorithms and should have worked on Anomaly detection. Excellent understanding of machine learning techniques and algorithms and should be proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Markov Chain, Monte Carlo, Gibbs Sampling, Evolutionary Algorithms, Support Vector Machines, Neural Networks, k-NN, Naive Bayes, SVM, Decision Forests etc Expert knowledge of advanced data mining and statistical modeling techniques, including Predictive modeling (e.g., binomial and multinomial regression, ANOVA); Classification techniques, Clustering, Principal Component Analysis, factor analysis; Decision Tree techniques (e.g., CART, CHAID) Should have some experience working with time series data Comfortable working with the Engineering Team to design, code, train, test, deploy and iterate on enterprise-scale machine learning systems Expert in Data processing, wrangling and visualization Experience with automated feature engineering and dealing with large datasets Should have experience in deploying machine learning model Very Good analytical thinking with problem-solving abilities Should have experience in deploying machine learning model Good knowledge on writing complex SQL queries for selecting data from database. Comfortable working with Python, Jupyter Notebook and ability to work with machine learning frameworks. Deliver results within committed scope, timeline, and budget Role & Responsibility: Works to design and develop analytical/ data mining/ machine learning/deep learning models as part of data science solutions Perform quantitative and qualitative analysis like (raw) data analysis, statistical modelling, data deep-dives etc. to acquire insights from data Data pulling or creating from different sources Responsible for analyzing data from multiple data sources (DBs, flat files, etc.), and building predictive models using Python Work to design and build an end-to-end prototype data science solution to a business problem in any specific sector/ function, more specific to healthcare domain. Develop actionable insights to drive outcome. Translate insights into an analysis report and communicates the insights back to the requestor.. Different models and their performances in Real time and Batch developed using Python (Pandas)/MLib/PySpark and opting the better solution depending on the cases Validate the models - statistically as well as from business perspective in discussions with business stakeholders Work to support and guide model deployment and model lifecycle management Map insights to action items (working with stakeholders) in order to improve business metrics Facilitate monitoring of actions to drive outcome: Monitor actions (targeted business outcomes achieved)- by providing guidance and feedback to the operations team Project governance: Ensure compliance to governance model. Seek and manage customer feedback in order to ensure strong customer satisfaction on projects Competency Requirements: Must possess the following knowledge, skills, and abilities to perform this job successfully: Familiar with standard concepts, practices, and procedures within the field. Creativity and latitude required. Ability to work in a fast-paced, result-driven, and complex healthcare setting. Ability to meet strict deadlines. Excellent analytical, problem-solving, organization and time management skills. Takes a sense of ownership Capable of embracing unexpected change in direction or priority. Excellent communication skills. Strong self-sufficiency and initiative working on database projects. This position may be modified to reasonably accommodate an incumbent with a disability. This job requires the ability to work with others in a team environment, the ability to accept direction from superiors and the ability to follow Company policies and procedures. Regular, predictable and dependable attendance is essential to the satisfactory performance of this job. GM Analytics is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.to join our Gurgaon based team of IT professionals. The position is responsible for projects heavy in back-end database work including creating and maintaining interfaces between multiple sources and the database.

Dear Candidate, We are hiring for senior Data Scientist at Goregaon Below are the details for the same Organocation- Leading NBFC Location - Goregaon Work Mode- Work From office Roles & Responsibilities: Understanding the challenges faced by the business and translate that into a data problem Handle data in various formats easily, including both structured and unstructured data Ability to work with multiple data sources Model/ strategy development and validation Model deployment Requirements: Should be from Banking & NBFC Worked on Bureau data Develop Model like- Logistic regression, XGBoost, Random Forest, etc (Different techniques of model development) Coding- Python, XQL, Pyspark, Etc (Python is mandatory) Risk, Collections, Marketing related scorecard will work Scorecard- Application SC, Behavior SC, Fraud SC Min Exp- 5 plus Must

About The Role The leader must demonstrate an ability to anticipate, understand, and act on evolving customer needs, both stated and unstated. Through this, he/she must create a customer-centric organization and use innovative thinking frameworks to foster value-added relations. With the right balance of bold initiatives, continuous improvement, and governance, the leader must adhere to the delivery standards set by the client and eClerx by leveraging the knowledge of market drivers and competition to effectively anticipate trends and opportunities. Besides, the leader must demonstrate a capacity to transform, align, energize organization resources, and take appropriate risks to lead the organization in a new direction. As a leader, the candidate must build engaged and high-impact direct, virtual, and cross-functional teams, and take the lead towards raising the performance bar, build capability and bring out the best in their teams. By collaborating and forging partnerships both within and outside the functional area, the leader must work towards a shared vision and achieve positive business outcomes. Associate Program Manager Roles and responsibilities: Lead and provide strategic direction to teams, ensuring alignment with clients business objectives Actively collaborate with the Marketing, Marketing Operations, Marketing Technology, Risk & Controls, and Automation teams to consult and facilitate the seamless execution of marketing campaigns and initiatives Collaborate with client stakeholders to shape and execute the target operating model for data operations, data engineering, and insights teams Drive revenue growth by understanding client needs, proposing innovative commercial constructs, and capitalising on upsell & cross-sell opportunities Accountable for ensuring we are recruiting a highly skilled workforce of data engineers, data analysts and data scientists to support RTB and CTB initiatives of the Client Work closely with sales and consulting teams to expand current business and explore new transformation-led opportunities Stay updated with industry trends, and champion the adoption of cutting-edge tools, methodologies, and technologies Take ownership of team deliverables, ensuring quality checks, best practices and desired outcomes are achieved on the first attempt. Understand project requirements and equip team members with the necessary skills and training. Technical and Functional Skills: Masters / Bachelors degree in Management / Engineering / Mathematics / Statistics or any related quantitative discipline The ideal candidate must have a minimum of 8+ years of experience in Data Management, Analytics, or Decision Science, including P&L Management responsibilities Experience working in services/consulting space, building and leading large analytics business and demonstrated success in delivering to clients across industries and domains preferably Banking and Financial Services Proven track record of building and leading high growth teams; demonstrated experience in hiring, retaining, and scaling geographically dispersed, high-performing teams Experience in collaborating, communicating, and influencing different stakeholders to drive inclusion, efficiency, and creative solutions

About The Role social media analytics

We are looking for a skilled Data Scientist with strong expertise in Python, Pandas, Machine Learning, and Time Series Forecasting. The ideal candidate will be able to drive impactful Data Science solutions, optimize model performance, and work closely with clients to improve deployments. Data Scientist We are looking for a skilled Data Scientist with strong expertise in Python, Pandas, Machine Learning, and Time Series Forecasting. The ideal candidate will be able to drive impactful Data Science solutions, optimize model performance, and work closely with clients to improve deployments. Data Scientist? Mandatory Skills: Python, Pandas, EDA, ML, Time Series Forecasting, Model Optimization, Client Collaboration Good-to-Have Skills: Big Data (Spark/Hadoop), Deep Learning, Cloud Computing, NLP, Stakeholder Management Detailed JD Strong hands-on expertise in Python and Pandas Advanced skills in Exploratory Data Analysis (EDA) Strong command over Machine Learning (ML) techniques Experience in Time Series Forecasting and predictive modeling Proven problem-solving skills for model development and optimization Ability to design and drive Data Science solutions for business impact Proficiency in model performance testing and tuning Experience working directly with clients to resolve challenges and improve deployments Mandatory Skills: Python, Pandas, EDA, ML, Time Series Forecasting, Model Optimization, Client Collaboration Good-to-Have Skills: Big Data (Spark/Hadoop), Deep Learning, Cloud Computing, NLP, Stakeholder Management Detailed JD Strong hands-on expertise in Python and Pandas Advanced skills in Exploratory Data Analysis (EDA) Strong command over Machine Learning (ML) techniques Experience in Time Series Forecasting and predictive modeling Proven problem-solving skills for model development and optimization Ability to design and drive Data Science solutions for business impact Proficiency in model performance testing and tuning Experience working directly with clients to resolve challenges and improve deployments

Full time with top German MNC for location Bangalore SKILLS SET: Statistical & Mathematical Concepts Descriptive statistics, probability distributions, hypothesis testing, p-values, confidence intervals, correlation, A/B testing Data Handling & Analysis Data cleaning, missing values, outlier detection, feature engineering, feature selection, EDA, dimensionality reduction, PCA, t-SNE, time series Machine Learning Techniques Supervised: linear regression, logistic regression, decision trees, random forests, SVM, k-NN, gradient boosting, XGBoost Unsupervised: k-means, hierarchical clustering, DBSCAN, PCA, anomaly detection Model Evaluation & Optimization Accuracy, precision, recall, F1-score, ROC-AUC, RMSE, MAE, R, cross-validation, grid search, random search, bias-variance trade-off Programming & Tools Python, NumPy, Pandas, scikit-learn, matplotlib, seaborn, SQL, Jupyter Notebooks, Google Colab SQL Skills Select statements, joins (inner, outer, left, right), group by, having, subqueries, filtering, sorting, aggregations (SUM, AVG, COUNT), window functions (ROW_NUMBER, RANK, LAG, etc.), CTEs etc.

Learn to develop and apply data mining and machine learning techniques and models to extract analytic insights from healthcare and non-healthcare data sets Support the review, generation, and delivery of analytic products in support of project work, RFP responses and other business needs Assist in the development of visualizations and presentations for client deliverables Develop software solutions and applications using Python, SQL, and/or R Interface with EVERSANA analysts, data scientists, clinicians and program managers and with EVERSANA customers.

You are a highly motivated individual with strong skills in advanced analytics, problem-solving, influencing, interpersonal communication, and collaboration, then you have found the right team. Join us as an Automation and Analytics Developer within the Conduct, Compliance, and Operational Risk (CCOR) domain. In this role, you will develop and maintain a diverse range of analytical tools, reports, and dashboards to uncover insights and manage risks effectively. You will work closely with Compliance and Operational Risk Managers, as we'll as key partners across various functions, including Data Science, Technology, and Business colleagues. As a Developer in our CCOR Data Analytics team, your responsibilities will include promoting and identifying opportunities for operational reengineering, and leading automation initiatives to streamline processes. You will have the chance to shape and improve our risk and control processes using data transformation tools such as Alteryx, Python, and SQL, while applying your knowledge of data science principles. Job Responsibilities Understands and develops automation solutions for the compliance and operational risk managers; builds analytical tools, reports, and dashboards to optimize and reduce manual processes. Identifies and leads automation initiatives to streamline processes. Creates reporting, interprets results, and conveys information in a concise, straightforward, and professional manner for all levels of operational staff from supervisors to senior-level management. Comprehends data requirements and accurately addresses related data quality edits efficiently. Spearheads projects and tasks by ensuring timely completion and articulates any issues and risks to management. Ensures the integrity of data through automated extraction, translation, processing, analysis, and reporting. Required Qualifications, Skills, and Capabilities Tool Sets - Strong knowledge of Alteryx, Tableau, Python or UIPath. Proficiency in Tableau is essential for creating interactive and insightful dashboards. Analytical - Independent, logical problem solver with the ability to synthesize data, identify trends, and project outcomes. Strong understanding of data science concepts and methodologies. Technical - Proficiency in PowerPoint and Excel; knowledge of databases and API connectivity. Fast Paced Multi-Tasker - Ability to organize and prioritize multiple projects and responsibilities with accuracy, attention to detail, and limited supervision with very short turnaround times. Demonstrates the ability to react quickly and decisively in high-stress situations. Interpersonal - Strong written and verbal communication skills with the ability to influence and work collaboratively with diverse/cross-functional teams. Develop and maintain effective relationships with a wide range of stakeholders. Presentation - Ability to create presentations for all levels of management and effectively report with an executive presence. Experience creating complex reporting with compelling key messages. Risk & Controls - Ability to work on Audit, Compliance, Risk, Control and Regulatory requirements in accordance with established procedures. Demonstrates accountability for work processes and the associated risks and controls. Demonstrates the ability to raise issues to relevant stakeholders or management with respect to the control environment. Project Management - Ability to lead an initiative, prioritize work, and meet deadlines, escalating any issues to management. Preferred Qualifications, Skills, and Capabilities Alteryx/Tableau/Python certification bachelors Degree, preferably majored in Computer Science, Statistics, Math, Business Administration, Finance, or Economics At least 4 years of experience in a related field. Experience in data science projects or coursework, with a focus on data analysis and predictive modeling Working Hours 1PM-10PM

Urgent Hiring for MNC for Analytics role, which includes- Model Development/Model Validation Data Analytics Data Manager/Data Modeler Risk Strategy/Analytics Market Risk/Credit Risk SAS/Python Exposure Kindly send your updated CV at jatin@smrd.in

Roles and Responsibilities Develop predictive models using statistical modeling techniques to drive business outcomes. Design and implement machine learning algorithms for data analysis, including deep learning methods. Collaborate with stakeholders to identify business problems and develop solutions through data-driven insights. Conduct exploratory data analysis (EDA) to extract meaningful patterns from large datasets. Communicate complex technical findings effectively to non-technical audiences. Desired Candidate Profile 1-3 years of experience in Data Science or related field. B.Tech/B.E. degree in Any Specialization or B.Sc degree in Statistics. Strong proficiency in SAS, Python, R programming languages; expertise in Predictive Modeling, Statistical Modeling, Machine Learning, Deep Learning.

As an Associate Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviour’s. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 3 Years + of relevant exp. Strong proficiency in Tableau Desktop and Tableau Server.. Experience with SQL and data manipulation. Strong experience in data manipulation and SQL Queries Leads the team to adopt right tools for various migration and modernization method Preferred technical and professional experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

The Core Analytics & Science Team (CAS) is Ubers primary science organisation, covering both our main lines of business as we'll as the underlying platform technologies on which those businesses are built. We are a key part of Ubers cross-functional product development teams, helping to drive every stage of product development through data analytic, statistical, and algorithmic expertise. CAS owns the experience and algorithms powering Ubers global Mobility and Delivery products. We optimise and personalise the rider experience, target incentives and introduce customizations for routing and matching for products and use cases that go beyond the core Uber capabilities. 1. Refine ambiguous questions and generate new hypotheses about the product through a deep understanding of the data, our customers, and our business 2. Design experiments and interpret the results to draw detailed and impactful conclusions. 3. Define how our teams measure success, by developing Key Performance Indicators and other users/business metrics, in close partnership with Product and other subject areas such as engineering, operations and marketing 4. Collaborate with applied scientists and engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines. 5. Develop data-driven business insights and work with cross-functional partners to find opportunities and recommend prioritisation of product, growth, and optimisation initiatives.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Natural Language Processing (NLP) Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will be developing applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities: Expected to perform independently and become an SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work related problems. Develop applications and systems utilizing AI tools and Cloud AI services. Apply GenAI models as part of the solution. Implement deep learning and neural networks. Create chatbots and work on image processing. Collaborate with team members to provide innovative solutions. Professional & Technical Skills: Must To Have Skills: Proficiency in Natural Language Processing (NLP). Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 2 years of experience in Natural Language Processing (NLP). This position is based at our Mumbai office. A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in the development and maintenance of the data platform components, contributing to the overall success of the project. Roles & Responsibilities: Expected to perform independently and become an SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work related problems. Assist with the data platform blueprint and design. Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Develop and maintain data platform components. Contribute to the overall success of the project. Professional & Technical Skills: Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 3 years of experience in Databricks Unified Data Analytics Platform. This position is based at our Hyderabad office. A 15 years full time education is required. Qualification 15 years full time education