64 R Programming Jobs - Page 3

Key Responsibilities: Applies engineering and/or scientific skills to technical processes with support from experienced team members. Participates as a team member, helps define/refine methods, and actively contributes towards team goals. Carries out engineering responsibilities using accepted methods and practical experience. Demonstrates good understanding and applies knowledge of an engineering discipline. Continues to develop capability to create engineering solutions through training and experience. Skills and Knowledge: Knowledge of engine and Genset components, functions, and failure modes. Experience with MS Office tools (Word, PowerPoint, Excel) is preferred. Proficiency in Excel programming (VBA) and Power Pivot is desirable. Familiarity with statistical software packages (e.g., Minitab, Weibull++, Winsmith, JMP, R-Programming) is preferred. Knowledge of engine performance measurement is advantageous. Awareness of warranty data analysis and life data analysis is preferable. Experience in service and quality functions is desirable. Strong analytical skills for handling large datasets and deriving meaningful conclusions. Six Sigma Yellow Belt certification required; Green Belt certification preferred. Experience: Basic relevant work experience desired, such as internship, co-op, or other pertinent work experience. This is a Hybrid role. Qualifications: Master of Science, Bachelor of Science, or equivalent technical degree required. This position may require licensing for compliance with export controls or sanctions regulations. Competencies: Applies Principles of Statistical Methods: Analyzes technical data using descriptive statistics, probability distributions, graphical analysis, and statistical inference; models relationships between response and independent variables using analysis of variance, regression, and design of experiments to make rigorous, data-based decisions. Product Failure Mode Avoidance: Mitigates potential product failure modes by identifying interfaces, functions, functional requirements, interactions, control factors, noise factors, and prioritized potential failure modes and potential failure causes for the system of interest to effectively and efficiently improve the reliability of Cummins products. Product Failure Reporting and Corrective/Preventive Action Systems: Defines and leads a process to record, prioritize, and resolve product failures using cross-functional reviews, rigorous problem-solving methods, failed parts transfer processes, data management tools, and project management practices to effectively and efficiently improve the reliability of the product. Product Problem Solving: Solves product problems using a process that protects the customer; determines the assignable cause; implements robust, data-based solutions; and identifies the systemic root causes and recommended actions to prevent problem reoccurrence. Product Reliability and Reliability Risk Management: Plans and manages critical reliability activities during new product development by preventing failures before hardware, detecting failures before the customer does, and improving products before production in order to release a reliable and durable product; evaluates key technical and program measures to assess the launch readiness of a new product using prescribed indicators, measures, risk scales, and methods of tracking to focus attention on metrics to reduce risk and improve reliability. Quantitative Reliability Analysis: Analyzes failure data from existing and/or new products by establishing failure rate models for use in assessing the feasibility of meeting reliability targets, comparing the reliability of product alternatives, estimating reliability and product coverage costs, identifying emerging issues, or verifying that improvements implemented have had the desired reliability improvement. Reliability Test Planning: Develops and analyzes a test plan acknowledging the relationship among reliability, sample size, distribution parameters, and confidence; develops system-level reliability test plan by considering schedule, number of units, applications, noises, and locations to find unknown failure modes to improve reliability; creates an accelerated test plan by increased use, overstress testing, or combining multiple stresses to build and extrapolate a model to estimate reliability under normal use conditions. Customer Focus: Building strong customer relationships and delivering customer-centric solutions. Global Perspective: Taking a broad view when approaching issues, using a global lens. Values Differences: Recognizing the value that different perspectives and cultures bring to an organization.

The role is based in Pune, India. Compensation to be paid in INR. Defining and developing data sets, models and cubes Build simple to complex pipelines data flows in ADF which includes extracting data from the source system into the data warehouse staging area, ensuring data validation, data accuracy, data type conversion, and business rule application. Strong Visualization skills in PBI , expert knowledge in writing advanced DAX in Power BI, Power Queries , Power Automate , M Language , R Programming. Advance knowledge of Azure SQL DB Synapse Analytics , Azure Data Bricks, Power BI Should be able to analyse and understand complex data. Knowledge of Azure data lake storage is required and Services like Azure Analysis Service SQL Databases.

About the Role: We are seeking a skilled and versatile Data Scientist/Software Developer with a strong background in R programming and Shiny app development. This role will involve working on a variety of projects, each with defined objectives and timelines. Successful candidates will be comfortable in a dynamic environment, adapting to different datasets, analytical requirements, and business needs. You will be a key contributor to translating data into actionable insights through the development of robust and user-friendly Shiny applications. Responsibilities: Develop Interactive Shiny Applications: Design, develop, test, and deploy interactive web applications using the R Shiny framework. Focus on creating user-friendly interfaces that effectively present data analysis and insights. R Programming: Utilize strong R programming skills to perform data cleaning, manipulation, analysis, and visualization. This includes implementing statistical models, data mining techniques, and machine learning algorithms as needed. SQL Database Interaction: Write efficient SQL queries to extract, transform, and load data from relational databases. Ensure data integrity and optimal performance for application use. Data Understanding and Interpretation: Work closely with stakeholders to understand their requirements and translate them into robust analytical solutions. Interpret data insights and communicate findings effectively. Code Documentation and Best Practices: Write clean, well-documented, and maintainable code. Adhere to software development best practices, including version control and testing methodologies. Project Management: Manage your time effectively across multiple shorter-term projects. Work independently while keeping stakeholders updated on progress and issues. Problem Solving: Ability to understand business problems and develop data-driven solutions and develop novel approaches, if needed. Collaboration: Work collaboratively with other data scientists, analysts, and business teams as needed. Required Skills & Qualifications: Expertise in R Programming: Proven experience in using R for data manipulation, statistical analysis, and visualization. Minimum of 3-5 years of experience in a relevant technical role. Shiny App Development: Strong understanding and practical experience in developing interactive dashboards and applications using R Shiny. Minimum of 3-5 years of experience in a relevant technical role. SQL Proficiency: Ability to write and optimize SQL queries to interact with relational databases (e.g., PostgreSQL, MySQL, SQL Server). Data Analysis Skills: Ability to perform exploratory data analysis, apply statistical methods, and interpret results. Problem-Solving Aptitude: Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions. Communication Skills: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical audiences. Experience with Version Control: Familiarity with Git and GitHub or similar version control systems. Adaptability: Ability to manage multiple projects concurrently and adapt to changing priorities. Remote work: Comfortable working remotely and communicating regularly. Preferred Skills: Experience with other R packages relevant to data analysis and visualization (e.g., dplyr, ggplot2, tidyr). Knowledge of basic statistical modeling and machine learning techniques Experience with cloud-based data environments (e.g., AWS, Google Cloud, Azure). Familiarity with deployment of shiny apps. Understanding of data security practices. Location : - Remote,New Delhi,Mumbai,Bengaluru

Hi We are looking to hire for SAS+R Programming . Please go through the JD and Apply Roles & Responsibilities: Create data cleaning reporting solutions, study status metric, and monitoring reports and visualizations required per standard and study specific data review plans. Contribute to process improvements and development of programming standards using R. Minimum of 3 years of experience in R programming including familiarity with R packages (e.g., Tidyverse, ggplot2, survival) Familiarity with data visualization techniques and tools in R. Write clean, efficient, and well-documented R code, conduct R code reviews, and R programming validation. Strong proficiency in R programming, including data manipulation, statistical analysis, and data visualization. Experience with POSIT Workbench, Connect, and/or Package Manager. Good to have python & SQL knowledge Develop library of reusable checks working closely with data engineers and config specialists. Collaborate with cross functional teams in creating business rules and automated check library across TAU. Serves as a technical resource for creating data analytics to help with data validation and cleaning. Provide programming expertise for data cleaning to efficiently ensure high quality data. Ensure accurate delivery by creating macros for Standard listings for the department based on specifications. Develop programs that generate CRF and Query metrics, including ad-hoc Sponsor and internal programming requests. Ability to set up and configure analytics for coding reports, safety review and any risk-based monitoring activities. Operational experience in pharmaceutical drug development with significant direct exposure to clinical development and data operations required for the reporting of clinical trial data (e.g. data review, regulatory submissions, safety updates, etc.) Understanding of regulatory requirements and relevant data standards; CDISC knowledge and experience are preferable. To Apply WhatsApp 'Hi' @ 9151555419 and Follow the Steps Below: a) For Position in Mumbai Search : Job Code # 373 b) For Position in Pune Search : Job Code # 374

Bachelor's Degree or equivalent in statistics, computer science, information technology, business analytics, or other related majors Minimum of 3+ years of experience preferred Proficiency in Excel Proficiency in either Python or R Proficiency in SQL and database management Experience performing data preprocessing and cleaning Dashboarding experience would be a plus Proficient in working with JSON data formats Demonstrated ability to write clean, maintainable, and well-documented code Insurance experience would be a plus Ability to work independently and as part of a team Strong interpersonal, oral, and written communication skills, including presentation skills

Responsibilities: AI/ML Model Development: 1. Design and implement machine learning models and algorithms to address specific business needs. 2. Develop and optimize algorithms for accuracy, efficiency, and scalability. Data Analysis and Preprocessing: 1. Collect, preprocess, and analyze large datasets to extract meaningful insights. 2. Develop data pipelines and maintain data quality for model training and evaluation. Integration and Deployment: 1. Integrate machine learning models into existing systems and applications. 2. Deploy models in production environments and monitor their performance. Research and Innovation: 1. Stay updated with the latest advancements in AI and machine learning technologies. 2. Conduct research to explore new techniques and methodologies that can enhance our solutions. Collaboration: 1. Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to understand requirements and deliver effective solutions. 2. Provide technical guidance and support to team members and stakeholders.

About the Role: Our team forms part of L&H Portfolio Steering & Monitoring (PSM) within the Chief Underwriting Office (CUO). The PSM purpose is to generate insights and connect our business to proactively steer L&H in delivering sustainable profit. We therefore closely collaborate with the market units as well as other functions across the L&H community to maximize value and manage risk within our portfolio. L&H Experience Studies Centre within PSM aims to implement a standardised and state-of-the-art Experience Studies solutions that enables effective generation of insights of the L&H business to proactively steer L&H Re in delivering sustainable profits. In this role, you will be at the forefront of delivering advanced analytical capabilities for Experience Studies, leveraging the R programming language and other cutting-edge technologies. Your responsibilities will include: Collaboration and Development: Work closely with IT and external partners/providers to develop and implement innovative analytical solutions. You will interpret and translate business requirements into technical specifications or example implementations that IT developers can easily understand. Technical Expertise: Provide expert advice and technical guidance to the IT development team. Collaborate with them to build a new global experience study platform, which includes the analytics engine, results database, results reporting, and tracking of Experience Studies. Project Management: Plan and oversee the work of the development team, ensuring that their output is accurate and aligns with the project requirements. Review their work to guarantee the correct implementation of solutions. Testing and Feedback: Conduct functional testing of implemented solutions and provide constructive feedback to IT developers to refine and enhance the final product. Global Collaboration: Foster strong collaboration and involvement across regional and central teams to ensure a unified approach to global experience studies. Engage and coordinate with regional teams on best practices and overall end-to-end experience studies topics. Governance and Best Practices: Contribute ideas to a robust governance framework for tools and methodologies used in experience studies. Follow the established guidelines to ensure operational excellence by balancing regional and global requirements. Support and Recommendations: Assist the ESTP team in developing recommendations for best practices in experience studies. Take an active role in the L&H Experience Studies Expert Group, contributing to the future direction of Experience Studies. Training and Development: Provide training on Experience Studies and the use of the Experience Studies tool in R to actuaries worldwide. Develop and maintain comprehensive training materials to support this effort. About you: Experience : You should have over 5 years of experience in the Life & Health (L&H) actuarial domain. Actuarial Qualification : You are either already qualified or actively working towards obtaining an actuarial qualification. Technical Expertise : Prior experience in experience studies and a strong knowledge of the R programming language are essential. IT Proficiency : You should be technically minded and comfortable working on IT-related topics. Product Knowledge : Expertise in a variety of L&H products, ideally across multiple global markets and regions, is required. Collaboration Skill s: You must have the ability to interact with colleagues at all levels of the organization and work towards common solutions. Teamwork and Independence : You should be capable of working both independently and as part of a team, including cross-functional teams, to ensure successful delivery. Communication Skills : Excellent communication, interpersonal, project planning, and influential skills are essential. Analytical Skills : Strong analytical skills are necessary, along with the ability and courage to constructively challenge decisions based on emerging information. You should also have a business mindset to be solutions-oriented. Consultant Mindset : You should have a consultant mindset, with the ability to listen to users and help solve their problems effectively.

Professional with 8 to 12 years of experience in biostatistics & R Programming would be preferred

Hi We are looking to hire for SAS+R Programming. Please go through the JD and Apply Roles & Responsibilities: Create data cleaning reporting solutions, study status metric, and monitoring reports and visualizations required per standard and study specific data review plans. Contribute to process improvements and development of programming standards using R. Minimum of 3 years of experience in R programming including familiarity with R packages (e.g., Tidyverse, ggplot2, survival) Familiarity with data visualization techniques and tools in R. Write clean, efficient, and well-documented R code, conduct R code reviews, and R programming validation. Strong proficiency in R programming, including data manipulation, statistical analysis, and data visualization. Experience with POSIT Workbench, Connect, and/or Package Manager. Good to have python & SQL knowledge Develop library of reusable checks working closely with data engineers and config specialists. Collaborate with cross functional teams in creating business rules and automated check library across TAU. Serves as a technical resource for creating data analytics to help with data validation and cleaning. Provide programming expertise for data cleaning to efficiently ensure high quality data. Ensure accurate delivery by creating macros for Standard listings for the department based on specifications. Develop programs that generate CRF and Query metrics, including ad-hoc Sponsor and internal programming requests. Ability to set up and configure analytics for coding reports, safety review and any risk-based monitoring activities. Operational experience in pharmaceutical drug development with significant direct exposure to clinical development and data operations required for the reporting of clinical trial data (e.g. data review, regulatory submissions, safety updates, etc.) Understanding of regulatory requirements and relevant data standards; CDISC knowledge and experience are preferable. To Apply WhatsApp 'Hi' @ 9151555419 and Follow the Steps Below: a) For Position in Bangalore Search : Job Code # 375 b) For Position in Hyderabad Search : Job Code # 376

Hi We are looking to hire for SAS+R Programming . Please go through the JD and Apply Roles & Responsibilities: Create data cleaning reporting solutions, study status metric, and monitoring reports and visualizations required per standard and study specific data review plans. Contribute to process improvements and development of programming standards using R. Minimum of 3 years of experience in R programming including familiarity with R packages (e.g., Tidyverse, ggplot2, survival) Familiarity with data visualization techniques and tools in R. Write clean, efficient, and well-documented R code, conduct R code reviews, and R programming validation. Strong proficiency in R programming, including data manipulation, statistical analysis, and data visualization. Experience with POSIT Workbench, Connect, and/or Package Manager. Good to have python & SQL knowledge Develop library of reusable checks working closely with data engineers and config specialists. Collaborate with cross functional teams in creating business rules and automated check library across TAU. Serves as a technical resource for creating data analytics to help with data validation and cleaning. Provide programming expertise for data cleaning to efficiently ensure high quality data. Ensure accurate delivery by creating macros for Standard listings for the department based on specifications. Develop programs that generate CRF and Query metrics, including ad-hoc Sponsor and internal programming requests. Ability to set up and configure analytics for coding reports, safety review and any risk-based monitoring activities. Operational experience in pharmaceutical drug development with significant direct exposure to clinical development and data operations required for the reporting of clinical trial data (e.g. data review, regulatory submissions, safety updates, etc.) Understanding of regulatory requirements and relevant data standards; CDISC knowledge and experience are preferable. To Apply WhatsApp 'Hi' @ 9151555419 and Follow the Steps Below: a) For Position in Mumbai Search : Job Code # 373 b) For Position in Pune Search : Job Code # 374

Develop and maintain scalable data pipelines. Collaborate with data scientists and analysts to support business needs. Work with cloud platforms like AWS, Azure, or Google Cloud. Effectively working with cross-functional teams. Data Modelling.

As a Senior within the Actuarial team your role involves developing and implementing solutions both within the Insurance service line and in collaboration with other services lines. On engagements, you will: Be responsible for providing high quality results and generating effective solutions working along with Senior Consultants, Managers or Senior Managers in delivering the project Provide focused solutions and training to Staff members Be responsible for ensuring all engagement are delivered within time Deliver engagements in line with our values and commitment to quality and ensuring that work is of high standards Establish/manage priorities, communicate the status of activities, and accumulate/report all chargeable hours Within the actuarial practice you will: Actuarial liability estimation for general insurance lines of business which involves data preparation, data loading to tools, analysis of liabilities and presenting results Analyze the historical claims data and identify potential issues and trends and report the findings Perform valuation of reserves through IBNR models using the data supplied for estimation Working knowledge of different loss projection methods and their applications along with the familiarity of different property and casualty lines of business Review data, methodologies, assumptions, results and benchmark against the market Assessment of technical provisions and standard formula/ other capital calculations Large loss analysis, rating factor analysis and CAT benchmarking Perform ad-hoc research and development requests as required Preparations of report/memo sent to stakeholders showing results of the analysis Maintain strong focus in finishing Actuarial exams along with developing a strong subject matter expertise Risk analytics including development of analytical tools, analysis of insurance risk and general support for any risk analytics in the company Knowledge of ARIUS, Alteryx, IGLOO, ResQ or other reserving software are good to have, but not must criteria Stay informed of current business/economic developments relevant to the industry/ geography We are looking for individuals who have a proactive attitude and are seeking the opportunity for personal and professional growth, leveraging and supporting our global network. Exp. : - 3+ years experience in the General Insurance industry, either within a consulting firm or an Insurer or an organisation providing Insurance services (such as reserving, capital modelling, pricing, rate filling, CAT modelling, IFRS17, technical provision, solvency II and risk management) Ability to multi-task and flexible work attitude packed with good analytical skills Experience of handling a small team will be an advantage Proficiency in MS-Office Suite, VBA, SAS, R Programming, Python, SQL, SPSS, etc., will be a plus Good exam progress

As a Senior within the Actuarial team your role involves developing and implementing solutions both within the Insurance service line and in collaboration with other services lines. On engagements, you will: Be responsible for providing high quality results and generating effective solutions working along with Senior Consultants, Managers or Senior Managers in delivering the project Provide focused solutions and training to Staff members Be responsible for ensuring all engagement are delivered within time Deliver engagements in line with our values and commitment to quality and ensuring that work is of high standards Establish/manage priorities, communicate the status of activities, and accumulate/report all chargeable hours Within the actuarial practice you will: Actuarial liability estimation for general insurance lines of business which involves data preparation, data loading to tools, analysis of liabilities and presenting results Analyze the historical claims data and identify potential issues and trends and report the findings Perform valuation of reserves through IBNR models using the data supplied for estimation Working knowledge of different loss projection methods and their applications along with the familiarity of different property and casualty lines of business Review data, methodologies, assumptions, results and benchmark against the market Assessment of technical provisions and standard formula/ other capital calculations Large loss analysis, rating factor analysis and CAT benchmarking Perform ad-hoc research and development requests as required Preparations of report/memo sent to stakeholders showing results of the analysis Maintain strong focus in finishing Actuarial exams along with developing a strong subject matter expertise Risk analytics including development of analytical tools, analysis of insurance risk and general support for any risk analytics in the company Knowledge of ARIUS, Alteryx, IGLOO, ResQ or other reserving software are good to have, but not must criteria Stay informed of current business/economic developments relevant to the industry/ geography We are looking for individuals who have a proactive attitude and are seeking the opportunity for personal and professional growth, leveraging and supporting our global network. 3+ years experience in the General Insurance industry, either within a consulting firm or an Insurer or an organisation providing Insurance services (such as reserving, capital modelling, pricing, rate filling, CAT modelling, IFRS17, technical provision, solvency II and risk management) Ability to multi-task and flexible work attitude packed with good analytical skills Experience of handling a small team will be an advantage Proficiency in MS-Office Suite, VBA, SAS, R Programming, Python, SQL, SPSS, etc., will be a plus Good exam progress Non- life/P&C or general insurance/Actuarial Reserving/Rate monitoring/pricing/capital modelling

Key responsibilities Estimate actuarial liability for general insurance lines of business which involves data preparation, data loading to tools, analysis of liabilities and presenting results Analyse the historical claims data, identify potential issues and trends and report the findings Perform valuation of reserves through IBNR models using the data supplied for estimation Working knowledge of different loss projection methods and their applications along with the familiarity of different property and casualty lines of business Review data, methodologies, assumptions, results and benchmark against the market Understanding the forecast, payment patters, yield curves, risk adjustments, claims, premiums, expenses, tax and other parameters used as a part of the establishing the Balance sheet position and Profit/Loss statement as a part of IFRS17 regulatory requirement Liability of Incurred Claims (LIC) and Liability of Remaining Coverage (LRC) calculations using the PAA or GMM approach PAA Eligibility testing to finalise the methodology for calculating the liability for the group of contracts Onerous testing to identify the onerousness for estimating the Loss Component (LC) Calculating the LC and Contractual Service Margin (CSM) release over the period of the contract IFRS17 (or Solvency II) Actuarial Liability estimation for general insurance lines of business which involves data preparation, data loading to tools, analysis of liabilities and presenting results to relevant teams Maintain strong focus in finishing Actuarial exams along with developing a strong subject matter experience Knowledge of Aptitude (IFRS17 Financial reporting tool), ResQ or other reserving software are good to have, but not must criteria Stay informed of current business/economic developments relevant to the industry We are looking for individuals who have a proactive attitude and are seeking the opportunity for personal and professional growth, leveraging and supporting our global network. To qualify for the role, you must have Good experience in the General Insurance industry, either within a consulting firm or an Insurer or an organisation providing Insurance services (such as reserving, IFRS17 and Solvency II technical provision) Ability to multi-task and flexible work attitude packed with good analytical skills Proficiency in MS-Office Suite, VBA, SAS, R Programming, Python, SQL, SPSS, etc., will be a plus