554 Predictive Modeling Jobs - Page 18

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Experience : Minimum 8 years of experience.

Position Summary The BI Developer reports to the Business Intelligence Manager and is responsible for combining raw information from disparate IT source systems into data models, reports and dashboards to deliver business insights. The successful candidate will be able to complete the full lifecycle of development of data from the ETL process through to final deliverable of dashboards into the organization. To succeed in this BI Developer position, you should have strong analytical skills and the ability to develop and maintain data and security models using modern techniques. If you are detail-oriented, with excellent organizational skills and experience in this field, we d like to hear from you. Responsibilities for a BI Developer position include: Essential Duties and Responsibilities Participate in business requirement gathering and solution documentation Build required infrastructure for optimal pipeline management, including extraction, transformation and loading of data from various data sources using Azure Data Factory, Databricks and SQL technologies Assemble and analyze large, complex sets of data that meet non-functional and functional business requirements Implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes Work with users to assist them with data-related technical issues Implement and test data and security models Prepare data for prescriptive and predictive modeling Develop interactive visual reports, dashboards, charts, and measures with KPI scorecards using Microsoft Power BI desktop Analyze, design, deploy, troubleshoot, and support Power BI solutions Participate in user acceptance testing Explore and implement ways to enhance data quality and reliability Collaborate with data scientists and architects as needed Education Bachelor s degree (B.S./B.A.) in computer science, information systems, informatics, statistics or another quantitative field or equivalent from a college or university with IT focused specialization. A Master s Degree or Data engineering certification (e.g, Azure Certified Data Engineer) is a plus Skills/Experience 5+ years experience as a BI Developer or related experience in a global company with significant experience in hands-on technology delivery roles. Strong data analytics background with experience in developing use cases, deep understanding of managing data and generating insights thru visualization Background in custom build experience using Power BI Report Builder, Power BI Desktop, Power BI Service, Tabular Editor, ALM Toolkit and DAX Studio designing Power BI data models; including writing complex DAX, SQL queries and implementing role level security Ability to understand data modeling, data schemas (normalized, flat, star, snowflake, etc.), query optimization, query profiling and query performance monitoring tools and techniques Knowledge of programming languages (e.g. Java, AngularJS, Python) Implement data storage solutions using Azure SQL Database, Azure Data Lake Storage, and Azure Blob Storage. Monitor and optimize data workflows for performance and reliability. Experience with workflow management and pipeline tools - Azure Data Factory and DevOps; storage technologies - Azure Data Warehouse and Data Lake; stream-processing systems - Event Hub and Stream Analytics; transformation tools - Databricks; visualization tools - PowerBI; and metadata management systems. Experience with big data tools like Spark is a plus as well as knowledge of Pyspark. Familiarity with Machine Learning and Deep Learning concepts are a plus Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata Experience working with unstructured datasets Hands-on experience with optimizing performance of SQL queries and applications Great numerical and analytical skills Ability to collaborate with technical resources to influence algorithms and other technology for improved customer experience

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions. Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options 3. Team Management a. Talent Management i. Support on boarding and training to enhance capability & effectiveness Deliver No. Performance Parameter Measure 1. Demand generation # PoC supported 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management # Skills acquired Mandatory Skills: Data Analysis. Experience3-5 Years.

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options c. Integrate model performance management tools into the current business infrastructure 3. Team Management a. Resourcing i. Support recruitment process to on-board right resources for the team b. Talent Management i. Support on boarding and training for the team members to enhance capability & effectiveness ii. Manage team attrition c. Performance Management i. Conduct timely performance reviews and provide constructive feedback to own direct reports ii. Be a role model to team for five habits iii. Ensure that the Performance Nxt is followed for the entire team d. Employee Satisfaction and Engagement i. Lead and drive engagement initiatives for the team Deliver No. Performance Parameter Measure 1. Demand generation Order booking 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management % trained on new skills, Team attrition % Mandatory Skills: Data Science. Experience8-10 Years.

Responsibilities Lead the design, development, and deployment of machine learning and GenAI models with a strong focus on AWS AI architecture. Collaborate with cross-functional teams to identify business opportunities and develop data-driven solutions. Provide technical leadership and mentorship to the data science team. Conduct research and stay updated on the latest advancements in machine learning and artificial intelligence. Drive the implementation of best practices for data collection, preprocessing, and model evaluation. Communicate effectively with stakeholders to understand their requirements and translate them into actionable data science projects. Contribute to the development of data science strategies and roadmaps. Skill Requirements A minimum of 10+ years of experience in data science, with a focus on machine learning and artificial intelligence. Proven track record of leading and delivering complex data science projects. Expertise in building and deploying machine learning and GenAI models at scale using AWS AI services. Strong programming skills in languages such as Python, R, or Java, with proficiency in leveraging AWS AI SDKs and APIs. In-depth knowledge of statistical modeling, data mining, and predictive analytics. Mandatory Skills: Data Science. Experience5-8 Years.

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions. Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options 3. Team Management a. Talent Management i. Support on boarding and training to enhance capability & effectiveness Deliver No. Performance Parameter Measure 1. Demand generation # PoC supported 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management # Skills acquired Mandatory Skills: Data Analysis. Experience3-5 Years.

Job Title:Artificial Intelligence Engineer Experience8-12 Years Location:Bangalore : Algorithm Development**Design and implement algorithms, neural networks, and other machine learning techniques to simulate human intelligence processes. Model Creation**Develop and validate algorithms, neural networks, and other machine learning models. Generative AI**Specialize in generative AI, which involves creating AI systems that autonomously generate content such as text, images, and music. Machine Learning**Leverage your expertise in machine learning to train models on large datasets and optimize them for creative content generation. Natural Language Processing (NLP)**Apply NLP techniques for text generation projects, including text parsing, sentiment analysis, and the use of transformer models like GPT. Data Management**Handle data pre-processing, augmentation, and synthetic data generation. Qualifications To excel in this role, you should possess the following skills: Hard Skills 1. **Advanced Programming**Proficiency in programming languages such as Python, along with AI-centric libraries like TensorFlow, PyTorch, and Keras. 2. **Generative Models**Expertise in generative models, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). 3. **NLP**Familiarity with NLP techniques for text generation. 4. **Data Management**Knowledge of data pre-processing, augmentation, and synthetic data generation. Soft Skills 1. **Creativity**Ability to think creatively and solve complex, creative challenges using AI. 2. **Collaboration**Work effectively with researchers, engineers, and other team members. 3. **Continuous Learning**Stay updated with evolving AI technologies and applications. Qualifications - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related fields. - Proven experience in machine learning, generative AI,

Job Title:Data Analyst Experience5-10 Years Location:Chennai : Perform end-to-end analysis on healthcare data in tabular format or natural language data, ensuring strict compliance with HIPAA and data privacy regulations Independently identify problems, QA data, architect solutions and conduct analysis to support data-driven decision-making processes Collaborate with product managers, data scientists and data engineers, in an Agile and technology-driven environment Support senior data analyst and data scientists with data processing Generate internal data reports, ensuring clarity and alignment with organizational goals while adhering to HIPAA and data protection regulations Present in front of stakeholders including senior leadership, ensuring transparency and actionable recommendations ABOUT YOU: At least 3 years of work experience in analytics required, ideally in the healthcare or health plan sector, with a strong understanding of data privacy and governance frameworks such as HIPAA Strong analytical skills and critical thinking Strong knowledge of Excel calculations and data visualizations Strong SQL skills, experience of querying large datasets Experience of data visualization software (e.g., Power BI & Looker) Experience of generating automatic Power BI reports Strong statistical ability to analyze large amounts of data Experience of data wrangling and data visualization Desire and ability to build trust with business stakeholders, manage the relationship and socialize insights effectively Be able to communicate analytical insights with a variety of business stakeholders across different technical levels (including senior leaders) Self-motivated and be able to work independently Be able to work towards deadline NICE TO HAVE: Experience in Python Experience of cloud (AWS preferred) Experience in Quality or Risk Adjustment

Job Title:Data Analyst Experience5-10 Years Location:Bangalore, Pune : SQL, Pyspark, Baning Domain, Data analyst

Job Title:Cobol Dev Experience:5-10Years Location:Bangalore : Technical Skills: 5 + Years of experience as ETL data developer in Informatica, CONNX, SQL Server, Oracle DB setup CONNX metadata for Eligibility and Billing tables. Design and develop informatica ETLs to convert IMF data to Certifi format, Eligibility file format and IMF Notes format Support reconciliation of data across MMC systems and Javelina/Certifi/AWS Archive Proficiency in designing, developing, and debugging ETL workflows and mappings. Experience with Informatica transformations like Source Qualifier, Expression, Lookup, Aggregator, and Filter. Familiarity with performance optimization techniques in Informatica (e.g., session tuning, partitioning). Experience in extracting data from SQL Server and writing it into delimited file formats like CSV. Knowledge of handling large datasets and ensuring efficient data movement. Familiarity with file-level operations like encoding, delimiter configuration, and column formatting. Skills in implementing robust error handling and logging mechanisms in ETL workflows. Ability to debug issues related to data extraction, transformation, or file generation Ability to work independently and as part of a team Non-Technical Skills: Candidate needs to be Good Team Player Effective interpersonal, team building and communication skills. Ability to communicate complex technology to no tech audience in simple and precise manner.

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Experience : Minimum 8 years of experience.

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Experience : Minimum 8 years of experience.

Job Title 4G LTE Optimization Expert Experience 7 to 8 yrs Notice period 15 days Location Noida About The Role : We are seeking highly skilled and experienced 4G LTE Optimization Experts to join our team. The ideal candidate will have a strong understanding of 4G LTE network technologies, optimization techniques, and troubleshooting methodologies. Key Responsibilities : Network Performance Optimization : - Analyze network performance metrics (KPIs) to identify areas for improvement. - Optimize network parameters to enhance coverage, capacity, and quality of service. - Troubleshoot network issues and implement corrective actions. - Conduct drive tests and analyze data to identify network performance bottlenecks. Radio Network Planning and Design : - Participate in radio network planning and design activities, including site selection, frequency planning, and antenna configuration. - Perform RF propagation modeling and simulations to predict network performance. Network Configuration and Maintenance : - Configure and maintain 4G LTE network elements, including base stations, core network equipment, and transport networks. - Implement software upgrades and patches to ensure optimal network performance. Troubleshooting and Problem Solving - Diagnose and resolve complex network issues, including radio interference, handover failures, and capacity bottlenecks. - Utilize network management tools and diagnostic techniques to identify and isolate problems. Documentation and Reporting : - Prepare detailed technical documentation, including network design documents, optimization reports, and troubleshooting reports. - Present findings and recommendations to technical and non-technical audiences. Required Skills and Experience : - Strong understanding of 4G LTE technologies, including LTE-Advanced features. - Hands-on experience with network optimization tools and techniques. - Proficiency in using network management systems (e.g., NetAct, OSS). - Knowledge of RF propagation principles and RF optimization tools. - Excellent analytical and problem-solving skills. - Strong communication and interpersonal skills. - Ability to work independently and as part of a team. - 7-8 years of total experience with 4-5 years in LTE. Preferred Qualifications : - Certification in 4G LTE technologies (e.g., Nokia, Ericsson). - Experience with 5G NR technologies. - Knowledge of network automation and orchestration tools. If you are a passionate and dedicated 4G LTE Optimization Expert, we invite you to join our team and contribute to the success of our network. Apply Insights Follow-up Save this job for future reference Did you find something suspiciousReport Here! Hide This Job Click here to hide this job for you. You can also choose to hide all the jobs from the recruiter.

Data Analyst About the job: About The Role : We are seeking a highly motivated and detail-oriented Data Analyst with 2 to 4 years of work experience to join our team. The ideal candidate will have a strong analytical mindset, excellent problem-solving skills, and a passion for transforming data into actionable insights. In this role, you will play a pivotal role in gathering, analyzing, and interpreting data to support informed decision-making and drive business growth. Key Responsibilities: Data Collection and Extraction:- Gather data from various sources, including databases, spreadsheets and APIs.- Perform data cleansing and validation to ensure data accuracy and integrity. Data Analysis:- Analyze large datasets to identify trends, patterns, and anomalies.- Conduct analysis and data modeling to generate insights and forecasts.- Create data visualizations and reports to present findings to stakeholders. Data Interpretation and Insight Generation:- Translate data insights into actionable recommendations for business improvements.- Collaborate with cross-functional teams to understand data requirements and provide data-driven solutions. Data Quality Assurance:- Implement data quality checks and validation processes to ensure data accuracy and consistency.- Identify and address data quality issues promptly.Qualifications:- Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline.- Proven work experience as a Data Analyst, with 2 to 4 years of relevant experience.- Knowledge of data warehousing concepts and ETL processes is advantageous.- Proficiency in data analysis tools and languages (SQL, Python, R).- Experience with data visualization tools (Tableau, Power BI) is a plus.- Strong analytical and problem-solving skills.- Excellent communication and presentation skills.- Attention to detail and a commitment to data accuracy.- Familiarity with machine learning and predictive modeling is a bonus.If you are a data-driven professional with a passion for uncovering insights from complex datasets and have the qualifications and skills mentioned above, we encourage you to apply for this Data Analyst position. Join our dynamic team and contribute to making data-driven decisions that will shape our company's future.Fatakpay is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Skills: SQL, Python and ETLApplySaveSaveProInsights

We are looking to hire a Qlik Consultant with significant ETL and Qlikview experience. We are searching for somebody who can start right away (immediate joinee or less than 15 days) Office Location Mumbai Experience 1-2 years About The Role : - Development/Testing/Processes - Developing effective QlikView/ Sense data models - Developing front end applications using Qlik technology - Utilizing scripting language to meet complex business requirements - Utilizing Qlik Publisher / N printing capabilities - Extract, transform and load (ETL) data from multiple data sources into the Qlik application - Design, build, test and debug Qlik solutions based upon specified requirements - Follow implementation standards - Utilize source control tools - Follow deployment process - Solid experience developing complex Qlik data models Specific Responsibilities : - Participating in business requirements and design review sessions - Providing input on proposing, evaluating, and selecting appropriate design alternatives which meet requirements and are consistent with our current standards and processes - Extracting, transforming and loading data into Qlik applications - Developing, testing, debugging Qlik applications - Migrating code across development and testing landscapes - Creating publisher jobs - Developing documentation - Transferring knowledge and landing application to BI Support team - Good communication skills and ability to interact with the customer - Willingness to travel is mandatory Apply Insights Follow-up Save this job for future reference Did you find something suspiciousReport Here! Hide This Job Click here to hide this job for you. You can also choose to hide all the jobs from the recruiter.

Dreaming big is in our DNA Its who we are as a company Its our culture Its our heritage And more than ever, its our future A future where were always looking forward Always serving up new ways to meet lifes moments A future where we keep dreaming bigger We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential The power we create together when we combine your strengths with ours is unstoppable Are you ready to join a team that dreams as big as you do AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology The teams are transforming Operations through Tech and Analytics, Do You Dream Big We Need You, Job Description Job Title: Data Scientist Predictive Forecasting Location: Bangalore Reporting to: Senior Manager Analytics Purpose of the role We are seeking a talented Data Scientist specializing in Statistical modelling, Predictive modelling, Time Series Forecasting to join our dynamic analytics team The ideal candidate will have a strong background in statistical modeling and machine learning, with a focus on time series analysis You will be responsible for developing predictive models for Business Cycles and Monthly Performance Monitoring, generating actionable insights from Forecasts, and driving business value through data-driven decision-making, Key tasks & accountabilities Develop and Implement Models: Design and implement and Maintain time series forecasting models to predict key business metrics, Utilize advanced statistical techniques and machine learning algorithms to improve model accuracy, Data Analysis and Insight Generation: Analyze large and complex datasets to identify trends, patterns, and anomalies, Generate actionable insights that inform business strategies and operational improvements, Collaborate with Cross-Functional Teams: Work closely with deployment and development data scientists, and other stakeholders to understand business needs, Communicate Findings: Present analysis results and insights to stakeholders in a clear and concise manner, Prepare reports, visualizations, and dashboards to communicate data findings, Continuous Improvement: Monitor model performance and implement enhancements as necessary, Stay updated with the latest developments in data science, machine learning, and time series forecasting, Qualifications, Experience, Skills Level Of Educational Attainment Required Bachelors or Masters degree in Data Science, Statistics, Mathematics, Computer Science, or a related field, Previous Work Experience Minimum of 2 years of experience in data science or a related role, Proven experience with time series analysis and forecasting techniques is a plus Technical Skills Required Python (Data Structures, Control Flow, OOPs, Modules and Packages, Exception Handling, VENV) MLOPs Fundamentals (Model Development, VCS, CI, CD, Serving, Monitoring & Logging, Registry, Data and Model Lineage) Experience with machine learning frameworks (e-g , scikit-learn, TensorFlow is a plus), Familiarity with data visualization tools (e-g , Power BI, matplotlib, plotly, streamlit), Data Analysis Tools Pandas, Excel (Pivot Tables, Charts, Macros, Conditional Formatting, Shortcuts) Insights presentation Powerpoint Version Control System (Git) Basic Commands, Branching and Merging, Pull Requests & Code Reviews Other Skills Required Excellent problem-solving and analytical skills, Strong communication and presentation abilities, Ability to work collaboratively in a team environment, And above all of this, an undying love for beer! We dream big to create future with more cheers,

Mondel z International is looking for R&D Intern to join our dynamic team and embark on a rewarding career journey Assist in various tasks and projects as assigned. Conduct research and gather information. Support team members with administrative duties. Participate in meetings and contribute ideas. Learn about industry practices and company operations. As an organization we are committed to developing the next generation of Makers and Bakers Joining us at an early career stage in our fast paced and ever changing environment will enable you to do more, learn more and grow m

Enter and update data into the companys database and systems accurately and efficiently. Verify data for accuracy and completeness. Process and maintain confidential information. Review and correct any discrepancies or errors in data. Collect, clean, and organize data from various sources to ensure accuracy and completeness. Analyze and interpret complex datasets to identify trends, patterns, and insights. Generate reports, dashboards, and visualizations to communicate findings effectively. Collaborate with business units to understand their needs and translate them into data requirements. Develop and implement data models and forecasts to predict future trends. Ensure the integrity and security of company data. Provide information about products, services, policies, and procedures. Identify opportunities for improvement and suggest improvements to enhance the customer experience Stay up to date with the latest industry trends and technologies related to data analytics. Mandatory Key Skills (atleast 1) Excel, Good Communication Industry Type IT Services & Consulting Functional Area Engineering Hardware & Networks Qualification Graduate

We are seeking a talented Data Scientist II to join our team. The ideal candidate will have 2-5 years of experience in data science and possess expertise in machine learning, deep learning, Python programming, SQL, Amazon Redshift, NLP, and AWS Cloud. ** Duties and Responsibilities: Develop and implement machine learning models to extract insights from large datasets. Utilize deep learning techniques to enhance data analysis and predictive modeling. Write efficient Python code to manipulate and analyze data. - Work with SQL databases to extract and transform data for analysis. Utilize Amazon Redshift for data warehousing and analytics. Apply NLP techniques to extract valuable information from unstructured data. - Utilize AWS Cloud services for data storage, processing, and analysis. Qualifications and Requirements: Bachelors degree in Computer Science, Statistics, Mathematics, or related field. - 2-5 years of experience in data science or related field. Proficiency in machine learning, deep learning, Python programming, SQL, Amazon Redshift, NLP, and AWS Cloud. Strong analytical and problem-solving skills. - Excellent communication and teamwork abilities. * *Key Competencies - Strong analytical skills. - Problem-solving abilities. - Proficiency in machine learning and deep learning techniques. Excellent programming skills in Python. - Knowledge of SQL and database management. - Familiarity with Amazon Redshift, NLP, and AWS Cloud services. ** Performance Expectations: Develop and deploy advanced machine learning models. Extract valuable insights from complex datasets. Collaborate with cross-functional teams to drive data-driven decision-making. Stay updated on the latest trends and technologies in data science. We are looking for a motivated and skilled Data Scientist I to join our team and contribute to our data-driven initiatives. If you meet the qualifications and are passionate about data science, we encourage you to apply.

Job Description: Develop machine learning models for cyber security and networking domain. Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Should be self-starter and produce impactful outcomes in a start-up environment. Open for technical challenges & hunger for growth Mine and analyze data from company databases to drive optimization and improvement of product development. Develop custom data models and algorithms to apply to data sets. Use predictive modelling to increase and optimize customer experiences, revenue generation. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Key Responsibilities: Lead and manage a cross-functional team of engineers and data scientists in the re-engineering of our network security and management products using AI-driven solutions Collaborate with product managers and stakeholders to define project goals, objectives, and deliverables Architect, design, and implement cutting-edge AI solutions to enhance network security, optimize management processes, and improve product performance Oversee the development and deployment of AI models, algorithms, and data pipelines while ensuring scalability, reliability, and security Communicate progress, challenges, and solutions effectively to senior management and stakeholders Requirements Qualifications : Bachelor\u2019s degree in Engineering with 4 to 5 years of experience in AI/ML Experience working with machine learning models for threat intelligence, anomaly detection Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Should be proficient in TensorFlow, PyTorch, Keras and Natural Language Processing (NLP) is essential. Excellent written and verbal communication skills for coordinating across teams. A drive to learn and master new technologies and techniques. Benefits Our Benefits Include: Health Insurance, Performance-Based Bonuses (For Specific Roles), Wellness Programs \u2013 Access to mental health support, meditation sessions, and ergonomic workspaces to ensure a healthy and productive work environment, Team Lunches & Celebrations \u2013 Regular team lunches, parties, and win celebrations to foster a collaborative and fun work culture.

We are seeking a highly experienced and strategic Senior Manager Applied Science to lead and scale our applied research and machine learning initiatives. This role involves working at the intersection of cutting-edge AI/ML technologies and real-world business challenges to drive measurable impact. Key Responsibilities: Lead a team of applied scientists and machine learning engineers to develop scalable AI/ML models. Define and drive the scientific vision, strategy, and roadmap aligned with business goals. Collaborate cross-functionally with product, engineering, and analytics teams. Stay ahead of emerging technologies and apply them to solve complex business problems. Publish research, file patents, or present findings in internal/external forums as needed. Requirements: 10+ years of experience in applied science, machine learning, or data science roles. Strong background in statistics, optimization, deep learning, NLP, or related fields. Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Proven experience in leading high-performance technical teams. Advanced degree (Ph.D. or Master’s) in Computer Science, Mathematics, Statistics, or a related field. Excellent communication and leadership skills. Preferred Qualifications: Experience in a product-led tech company or research lab environment. Track record of deploying ML models in production. Publications or patents in relevant areas.

Salary : 25 to 40 LPA Exp: 4 to 8 years Location :Noida/Gurugram/Bangalore Notice: Immediate to 30 days..!! Roles & responsibilities: 5+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

We are looking for a Data Scientist to help us gain useful insight out of raw data. Data Scientist responsibilities include working with the data science team, planning projects and building analytics models. You should have a strong problem-solving ability and a knack for statistical analysis. If youre also able to align our data products with our business goals, we’d like to meet you. Your ultimate goal will be to help improve our products and business decisions by making the most out of our data. Key Responsibilities Responsible for overseeing the data scientists’ team and data specialists Teach, lead, and counsel colleagues on new techniques or solutions Collaborate with data and software engineers to enable deployment of sciences and technologies that will scale across the company’s ecosystem Responsible for the conception, planning, and prioritizing of data projects Responsible for building analytic systems and predictive models as well as experimenting with new models and techniques Ensure that data projects align with organizational goals Minimum Qualification Master's degree in Computer Science, Operations Research, Econometrics, Statistics or related technical field 10+ years of experience solving analytical problems using quantitative approaches

Evaluate model development data quality, methodology Perform proper documentation Conduct in-depth analysis of large data sets and support the review and maintenance process of relevant models and model validation documentation. Required Candidate profile 2+ years experience in model development or model validation experience in the retail section of a U. S. financial services/banking hands-on and proven experience utilizing Python, Spark , SAS, SQL,