10 Statistical Programming Jobs in Bangalore

Description: Experience: - 3+ years of relevant experience in a business / data / statistical analysis role. Advanced Excel skills, SQL programming capability and familiarity with data visualization tools, e.g. Tableau, Qlik. - Experience in developing requirements and formulating business metrics for reporting, ability to display complex quantitative data in a simple, intuitive format and to present findings in a clear and concise manner. - Excellent organizational skills including prioritizing, scheduling, time management, and meeting deadlines. - Explore newer technology options, if need be, and has a high sense of ownership over every deliverable by the team. - Superior verbal and written communications skills, ability to work effectively with multiple teams and external organisations

We are looking for an experienced data engineer to join our team. You will use various methods to transform raw data into useful data systems. For example, youll create algorithms and conduct statistical analysis. Overall, youll strive for efficiency by aligning data systems with business goals.  To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and knowledge of learning machine methods. If you are detail-oriented, with excellent organizational skills and experience in this field, wed like to hear from you.  Responsibilities Analyze and organize raw data  Build data systems and pipelines Evaluate business needs and objectives Interpret trends and patterns Conduct complex data analysis and report on results  Prepare data for prescriptive and predictive modeling Build algorithms and prototypes Combine raw information from different sources Explore ways to enhance data quality and reliability Identify opportunities for data acquisition Develop analytical tools and programs Collaborate with data scientists and architects on several projects

Role Overview: You will be part of the Real World Evidence (RWE) generation team at MC Analytics, playing a crucial role in bridging clinical effectiveness with commercial viability for brands. The company emphasizes the importance of considering commercialization early in the drug development process and is dedicated to collaborating with you to design, develop, and deliver fully integrated RWE for the peri-approval setting. Your work will focus on collecting the right data to ensure successful drug launches. Key Responsibilities: - Provide the supportive data required for regulators to approve and license products - Supply the necessary evidence to physicians to confidently prescribe drugs Coding Skills: - Proficient in advanced/expert R programming, particularly in dplyr and tidyverse packages - Skilled in handling messy data, managing missing values, and conducting pre-processing on structured datasets - Experience with version control systems such as GitHub and GitLab - Advanced SQL skills for writing efficient and scalable queries - Strong ability to write modular, reusable code with a focus on functions and best practices Qualification Required: - B.Sc/M.Sc in Statistics/Data Science with 1-2 years of experience in Real-world data or Oncology - Capability to implement/code statistical methods for descriptive statistics, KM curves, visualization plots, etc. - High sense of ownership for deliverables, ensuring timeliness and high quality - Ability to work independently, ask questions when needed, and take directions in a team environment - Willingness to collaborate in a cross-functional and highly collaborative culture For more information about MC Analytics, you can visit their website at [MC Analytics](https://mcanalytics.co.in/),

Hiring for Clinical Statistical Programmer Role !!! Apply now, if interested do share your resume prachiwfm187@gmail.com 8287816038 WE ARE HIRING FOR INDIA'S 2ND LARGEST KPO !!! Experience - 5+ Years Experience in Clinical SAS Programming (Inc. ADAM, TLF,CDISC Standards, Mapping & Conversion of Clinical Trial Data, Therapeutic Areas experience is must) Job location- Mumbai/Pune/Bangalore Note- You can forward this post to your friends and colleagues who wish to apply.  Thanks & Regards  Prachi Rawat  8287816038

Were Hiring  for Statistical Programmer (Healthcare Domain) ! Exciting Opportunity Awaits! Location: Mumbai , Chennai , Pune , Bangalore  Salary: Up to 22 LPA Shift: General Shifts Working Days: 5 Days WFO | 2 Rotational Offs Eligibility:Minimum 5 years of experience in Statistical Programming(R,SDTM,ADAM,SDLC) within the Healthcare domain Share your CVs: hrwfm.consultancy42@gmail.com Contact: Shruti 9911988551 References are highly appreciated!

As a Software Development Engineer in Testing specializing in Java framework at Hitachi Energy, your role will involve collaborating with team members to test highly available, scalable, and reliable software. Your work will revolve around technical challenges within the scrum team and product teams to deliver quality software to customers consistently. **Key Responsibilities:** - Develop and execute test plans to ensure all objectives are met. - Test software features and systems to evaluate success in achieving intended designs and outcomes. - Implement and monitor test scripts to assess functionality, reliability, performance, and quality of the service or product. Identify and rectify defects in the production process. - Recommend, implement, and monitor preventive and corrective actions to uphold quality assurance standards. Analyze statistical data. - Ensure user expectations are met during the testing process. Draft quality assurance policies and procedures. - Investigate customer complaints and product issues. - Ensure ongoing compliance with quality and industry regulatory requirements. - Responsible for compliance with external and internal regulations, procedures, and guidelines. **Qualifications Required:** - Bachelor's degree in computer science, information systems, or a related field with 5 to 8 years of experience in Automation of test scenarios. - Experience in quality inspection, auditing, and testing. - Excellent communication skills, both written and verbal. - Strong computer skills and knowledge of QA databases and applications. Analytical and problem-solving skills. - Hands-on experience in Appium/Mobile Automation/Test Planning/Test Cases/Manual Test Execution/Jira/Zephyr Scale/Selenium. - Expert knowledge of programming languages C, Java, Python. Attention to detail. - Knowledge of SQL/XML/Json/Postman. Excellent verbal and writing skills. - Good database skills with knowledge of SQL & Postgres. Hitachi Energy values safety and integrity, emphasizing responsibility for your actions and caring for colleagues and the business. If you are excited about this opportunity and meet the qualifications mentioned, do not hesitate to apply! Hitachi Energy encourages ongoing applications. (Note: Additional company details were not provided in the job description.) As a Software Development Engineer in Testing specializing in Java framework at Hitachi Energy, your role will involve collaborating with team members to test highly available, scalable, and reliable software. Your work will revolve around technical challenges within the scrum team and product teams to deliver quality software to customers consistently. **Key Responsibilities:** - Develop and execute test plans to ensure all objectives are met. - Test software features and systems to evaluate success in achieving intended designs and outcomes. - Implement and monitor test scripts to assess functionality, reliability, performance, and quality of the service or product. Identify and rectify defects in the production process. - Recommend, implement, and monitor preventive and corrective actions to uphold quality assurance standards. Analyze statistical data. - Ensure user expectations are met during the testing process. Draft quality assurance policies and procedures. - Investigate customer complaints and product issues. - Ensure ongoing compliance with quality and industry regulatory requirements. - Responsible for compliance with external and internal regulations, procedures, and guidelines. **Qualifications Required:** - Bachelor's degree in computer science, information systems, or a related field with 5 to 8 years of experience in Automation of test scenarios. - Experience in quality inspection, auditing, and testing. - Excellent communication skills, both written and verbal. - Strong computer skills and knowledge of QA databases and applications. Analytical and problem-solving skills. - Hands-on experience in Appium/Mobile Automation/Test Planning/Test Cases/Manual Test Execution/Jira/Zephyr Scale/Selenium. - Expert knowledge of programming languages C, Java, Python. Attention to detail. - Knowledge of SQL/XML/Json/Postman. Excellent verbal and writing skills. - Good database skills with knowledge of SQL & Postgres. Hitachi Energy values safety and integrity, emphasizing responsibility for your actions and caring for colleagues and the business. If you are excited about this opportunity and meet the qualifications mentioned, do not hesitate to apply! Hitachi Energy encourages ongoing applications. (Note: Additional company details were not provided in the job description.)

Role Overview: As a Senior Gen AI Developer with NTT DATA, you will be responsible for leveraging your expertise to design and implement cutting-edge AI solutions. Working in a hybrid mode out of Bengaluru, you will play a key role in developing AI/ML applications and collaborating with cross-functional teams to support the successful execution of AI projects across various industries. Your focus will be on driving business intelligence and decision-making through transformative projects. Key Responsibilities: - Exercise expertise in developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. - Apply advanced statistical techniques and concepts to enhance AI solutions. - Demonstrate deep knowledge of ML frameworks like TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. - Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc. - Deep understanding of statistics, Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models. - Experience with RAG technologies, LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases. - Employ technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models like BERT, Transformers, PaLM, Bard, etc. - Proficiency in programming languages such as Python and various Python packages, including TensorFlow, PyTorch, or Keras. - Collaborate with customers to understand their requirements and deliver customized AI solutions. - Communicate complex technical concepts clearly to non-technical audiences and conduct training sessions to enhance overall data science skills within the organization. Qualifications Required: - 7+ years of experience in AI development. - Strong expertise in developing AI/ML applications with a focus on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. - Advanced knowledge of statistical techniques and ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. - Proficiency in programming languages like Python and experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models. - Excellent communication skills and the ability to interact effectively with clients and cross-functional teams. Please note the additional details of the company were not provided in the job description. Role Overview: As a Senior Gen AI Developer with NTT DATA, you will be responsible for leveraging your expertise to design and implement cutting-edge AI solutions. Working in a hybrid mode out of Bengaluru, you will play a key role in developing AI/ML applications and collaborating with cross-functional teams to support the successful execution of AI projects across various industries. Your focus will be on driving business intelligence and decision-making through transformative projects. Key Responsibilities: - Exercise expertise in developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. - Apply advanced statistical techniques and concepts to enhance AI solutions. - Demonstrate deep knowledge of ML frameworks like TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. - Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc. - Deep understanding of statistics, Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models. - Experience with RAG technologies, LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases. - Employ technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models like BERT, Transformers, PaLM, Bard, etc. - Proficiency in programming languages such as Python and various Python packages, including TensorFlow, PyTorch, or Keras. - Collaborate with customers to understand their requirements and deliver customized AI solutions. - Communicate complex technical concepts clearly to non-technical audiences and conduct training sessions to enhance overall data science skills within the organization. Qualifications Required: - 7+ years of experience in AI development. - Strong expertise in developing AI/ML applications with a focus on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. - Advanced knowledge of statistical techniques and ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. - Proficiency in programming languages like Python and experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models. - Excellent communication skills and the ability to interact effectively with clients and cross-functional teams. Please note the additional detai

As a Quantitative Risk Intern at CME Group, you will be part of a team responsible for developing Risk/Pricing Models to evaluate counterparty exposures to the Clearing House. Your role will involve working on models related to Pricing, Value-at-Risk, Stress Testing, Liquidity, and Regulatory Capital. Additionally, you will be developing tools for Portfolio Analytics. You will collaborate with the team to perform back testing and statistical analysis to ensure the adequacy of margin coverage and justify model assumptions. **Principal Accountabilities:** - Conduct empirical studies and provide recommendations on margin levels, modeling issues, and risk-mitigation measures. - Ensure that models are updated with the latest proven theories in the field. - Deploy, test, and continuously improve models within the Production Infrastructure of CME. - Present results to Senior Management and/or Risk Committees. - Enhance existing risk models and design/prototype new models across different asset classes like OTC and Futures (e.g. Pricing, VaR, Backtest, Stress, Liquidity, etc.). **Skills & Software Requirements:** - Experience with programming languages such as C++/C#, R, VBA, and SQL is required. **Education:** - A Bachelor's degree in a technical discipline is required, while a Master's degree is preferred in disciplines like Math Finance, Applied Mathematics, Financial Engineering, or Software Engineering. At CME Group, individuals like you can impact global markets, transform industries, and shape tomorrow. You will be part of a team of experts who inspire you to grow. The company values diversity and inclusivity, ensuring that every employee's unique experiences and skills are acknowledged and valued. CME Group is an equal-opportunity employer, considering all potential employees without regard to any protected characteristic. Please be aware of recruitment fraud, as scammers may use misleading promises of job offers to solicit money and personal information from job seekers. CME Group follows established procedures to maintain trust, confidence, and security throughout the recruitment process.,

As a Solutions Specialist in Data Analytics at DT Consulting, your role will involve: - Taking ownership of end-to-end analytics projects, utilizing our unique approach to research and advisory services. - Leading analyst teams to deliver high-quality research and analytics projects that meet client satisfaction. - Mentoring and guiding junior colleagues in their technical and professional development. - Translating business requirements into analytical problem statements. - Designing and deploying quantitative research surveys. - Performing data cleaning and processing tasks to visualize response datasets. - Managing dashboard development projects, from design to deployment. - Delivering research insights and contributing to strategic consulting outputs. - Collaborating with tech teams to integrate data analytics and generative AI techniques into production systems. - Ensuring solutions are scalable, user-centric, and aligned with business needs. Qualifications required: - Bachelor's degree in Mathematics, Statistics, Engineering, Business Analytics, or Data Science. - 4-6 years of progressive experience in data analytics, business intelligence, and automation solutions. - Experience in leading teams and mentoring junior colleagues. - Proficiency in Tableau; Power BI skills are advantageous. - Ability to design and run quantitative surveys using CX platforms like Qualtrics, Alchemer, Medallia. - Advanced Excel and PowerPoint skills. - Programming experience in Python or JavaScript and SQL. - Understanding of LLMs and GenAI technologies. - Strong product management mindset with experience in defining product roadmaps. - Excellent problem-solving, communication, and project management skills. - Ability to engage non-technical stakeholders and simplify complex concepts. Desired Skills: - Experience in the life sciences industry within an agency/consultancy or global capability center environment. - Experience in building and maintaining automated data pipelines to support strategic decision-making and business operations. - Proficiency in statistical concepts and ML algorithms. - Demonstrable experience with various quantitative research methodologies and survey approaches. - Experience with cloud platforms like AWS, Azure, or GCP. - An entrepreneurial mindset and a commitment to delivering outstanding work. Please note that you will be based in the Bengaluru office with potential ad-hoc international travel. All candidates must be eligible to work in the relevant location.,

As a Senior Consultant specializing in Marketing Mix Modeling (MMM) within the Analytics team, you will play a crucial role in quantifying the impact of marketing and business activities on key performance metrics like sales and ROI. Your expertise in statistical and econometric methods will be instrumental in delivering actionable insights, automating solutions, and supporting strategic decision-making across various industries. Key Responsibilities: - Lead and manage day-to-day client data processing and project delivery in MMM engagements. - Apply econometric modeling techniques to evaluate the effectiveness of marketing and promotional campaigns. - Interpret complex data and analytical results to generate actionable business recommendations. - Present findings through well-structured PowerPoint presentations tailored to client audiences. - Collaborate with cross-functional teams, including data scientists, consultants, and clients. - Conduct research and development activities to enhance modeling accuracy or explore new techniques. - Automate repetitive tasks and data workflows using tools like VBA, R, or Python. - Support the development and implementation of advanced analytical frameworks and custom models. - Ensure quality and consistency in deliverables across projects and industries. Desired Qualifications: - Education: Graduate degree in Economics, Business, Statistics, Mathematics, Operations Research, Industrial Engineering, Quantitative Analysis, or a related field (M.Sc. or MBA preferred). - Senior Consultant Experience: Approximately 4-6 years of relevant experience, including hands-on work in Marketing Mix Modeling. - Strong understanding of econometric modeling and statistical analysis. - Proficiency in programming languages such as R, Python, or SAS. - Advanced skills in Excel (macros, pivot tables, complex formulas) and PowerPoint. - Experience with automation tools (VBA/R/Python) to streamline processes. - Exceptional verbal and written communication skills. - Strong project management, problem-solving ability, and a proactive, can-do attitude. - Ability to work independently as well as in a team-oriented environment. - Exposure to other analytics domains (e.g., pricing, forecasting, customer analytics) is a plus.,