4 R Studio Jobs

The Transport Planner - Urban Mobility + Strategic Planning position in Ahmedabad at Prameya Consulting Pvt. Ltd. is a great opportunity for a passionate and research-driven professional interested in contributing to the development of sustainable mobility solutions and strategic planning for future-ready cities. As part of an interdisciplinary team focused on solving complex urban challenges, you will have the chance to collaborate with urban researchers, GIS specialists, and designers to support mobility planning and decision-making for Indian cities. Your key responsibilities will include conducting transport audits, user behavior surveys, spatial analysis, assisting in the preparation of mobility plans and feasibility studies, supporting GIS-based mapping and analysis, as well as contributing to the visualization of multimodal transport systems and pedestrian flow. The ideal candidate for this role should have a Bachelor's degree in Civil Engineering or Bachelor of Architecture, along with 0-2 years of experience in a similar field post Masters degree. A Masters degree in Transport Planning, Urban Planning, Civil Engineering, or a related field is required. Proficiency in GIS, MS Excel, PowerPoint, Adobe Suite (InDesign, Illustrator), R studio/Python, and similar software is essential. Additionally, the ability to represent data through maps, diagrams, and visual formats is highly valued. If you are interested in applying for this position, please send a short write-up (max 300 words) describing your interest in the role, along with your CV and any relevant work samples or portfolio to info@prameya.in with the subject line: Application: Transport Planner - Ahmedabad. We welcome applications from individuals who are enthusiastic about sustainable mobility, public engagement, and inclusive urban futures.,

The position of Risk Methodology Specialist at Deutsche Bank as an Assistant Vice President involves contributing to the bank's balance sheet and income statement modelling methodologies to support various end uses such as stress testing, interest rate risk in the banking book, liquidity, and planning. As an AVP, you will be responsible for managing relationships with Business/Risk/Treasury/Finance model stakeholders, executing model development protocols, critically evaluating information from multiple sources, and working independently with team leads/teams/management. The role requires a candidate with very good English communication skills to effectively coordinate and communicate with stakeholders globally. The candidate should possess people skills and be able to handle complex situations. The responsibilities also include contributing to model development, authoring model documentation, analyzing assumptions, weaknesses, and compensating controls, creating proof of concept case studies, and exploring alternative modelling approaches. The ideal candidate should have experience in model development for Banking or Capital Markets at a top-tier bank or consulting firm. Solid banking business knowledge, strong experience in R Studio and/or Python, and a degree from a top-tier institution with a quantitative concentration are essential. The role demands strong quantitative skills, including knowledge and modeling experience in areas such as PPNR, Credit Risk, Market risk, and relevant interdependencies. Proficiency in at least one programming language, strong written and verbal communication skills, and behavioral skills like Collaboration, Teamwork, Integrity, Trust, and Fairness, among others, are crucial for this role. Educational qualifications include a University graduate or equivalent degree in finance, economics, mathematics, statistics, or engineering. Masters qualifications or above would be considered an advantage. Deutsche Bank offers training, development, coaching, and a culture of continuous learning to aid progression. The bank promotes a positive, fair, and inclusive work environment where employees are empowered to excel together every day. If you are looking to excel in your career in a dynamic and supportive environment, this role at Deutsche Bank might be the right fit for you.,

Department : Business Analytics Job Overview: We are seeking a talented R Analytics to join our analytics team. The ideal candidate will possess a strong background in data analysis, statistical modeling, and proficiency in the R programming language. You will be responsible for analyzing complex datasets, providing insights, and developing statistical models to support business decisions. Key Responsibilities: Utilize R programming to analyze large and complex datasets, performing data cleaning, transformation, and analysis. Develop and implement statistical models (regression, time series, classification, etc.) to provide actionable insights. Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies. Visualize data through plots, charts, and dashboards to effectively communicate results to stakeholders. Collaborate with cross-functional teams to define business problems and develop analytical solutions. Build and maintain R scripts and automation workflows for repetitive tasks and analysis. Stay updated with the latest developments in R packages and data science techniques. Present findings and insights to stakeholders through clear, concise reports and presentations. Qualifications : Bachelor's/Master's degree in Statistics, Mathematics, Data Science, Computer Science, or a related field. at least the last 6-10 years in a senior role specifically focusing on R Language, R Studio, and SQL. Strong knowledge of statistical techniques (regression, clustering, hypothesis testing, etc.). Experience with data visualization tools like ggplot2, shiny, or plotly. Familiarity with SQL and database management systems. Knowledge of machine learning algorithms and their implementation in R. Ability to interpret complex data and communicate insights clearly to non-technical stakeholders. Strong problem-solving skills and attention to detail. Familiarity with version control tools like Git is a plus.

Department : Business Analytics Job Overview: We are seeking a talented R Analytics to join our analytics team. The ideal candidate will possess a strong background in data analysis, statistical modeling, and proficiency in the R programming language. You will be responsible for analyzing complex datasets, providing insights, and developing statistical models to support business decisions. Key Responsibilities: Utilize R programming to analyze large and complex datasets, performing data cleaning, transformation, and analysis. Develop and implement statistical models (regression, time series, classification, etc.) to provide actionable insights. Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies. Visualize data through plots, charts, and dashboards to effectively communicate results to stakeholders. Collaborate with cross-functional teams to define business problems and develop analytical solutions. Build and maintain R scripts and automation workflows for repetitive tasks and analysis. Stay updated with the latest developments in R packages and data science techniques. Present findings and insights to stakeholders through clear, concise reports and presentations. Qualifications : Bachelor's/Master's degree in Statistics, Mathematics, Data Science, Computer Science, or a related field. at least the last 2-5 years in a senior role specifically focusing on R Language, R Studio, and SQL. Strong knowledge of statistical techniques (regression, clustering, hypothesis testing, etc.). Experience with data visualization tools like ggplot2, shiny, or plotly. Familiarity with SQL and database management systems. Knowledge of machine learning algorithms and their implementation in R. Ability to interpret complex data and communicate insights clearly to non-technical stakeholders. Strong problem-solving skills and attention to detail. Familiarity with version control tools like Git is a plus.