9 Bayesian Methods Jobs

At GSK, we bring together science, technology, and talent to proactively combat diseases on a global scale, striving to improve the lives of millions of patients by constantly pushing the boundaries of respiratory science and infectious diseases, including vaccines and HIV. Our commitment to ESG leadership enables us to address some of society's most pressing challenges. We firmly believe that by working together, we can positively impact the health of over 2.5 billion people by the year 2031. When you embark on your journey at GSK, we enter into a mutual agreement. You pledge to embody our values and excel in our focus areas of Innovation, Performance, and Trust. In return, GSK is dedicated to fostering an environment where you can flourish. Together, we create a supportive ecosystem where each of us can thrive and concentrate on what truly matters to us. The primary responsibilities of the current role include leading a molecule from various quantitative strategy perspectives, overseeing a team of statisticians aligned with a specific disease area/research unit, and actively contributing to and steering organizational strategies at both global and India-level leadership teams (LT). Your role expectations encompass several key areas: **Statistical Expertise and Accountability:** - Ensuring top-notch statistical input throughout the design, execution, and interpretation of all statistical components in Medicine development at the molecule level. - Collaborating closely with cross-functional Project Team members to ensure project milestones are met within established quality, timeline, and budget parameters. - Upholding compliance expectations and regulatory requirements. **Technical Excellence:** - Demonstrating proficiency across a wide range of statistical methodologies, from established techniques to emerging approaches. - Applying optimal statistical and trial design methodologies while keeping abreast of methodologies used by other quantitative groups. - Committing to continuous learning and development in alignment with organizational objectives. **Science and Strategic Collaboration:** - Working with project and asset teams to optimize development strategies by leveraging diverse data sources. - Leveraging strong disease knowledge and competitor intelligence to drive data-driven decisions and solutions in drug development challenges. **Innovation and Problem Solving:** - Promoting innovation in evidence generation and clinical trial design by utilizing state-of-the-art statistical methods. - Contributing to problem-solving through advanced statistical approaches and fostering innovation in data utilization across development programs. **Communication and Influencing:** - Representing Biostatistics effectively in interactions with various stakeholders. - Articulating complex statistical concepts in a clear manner for non-statisticians. - Building and managing robust networks and relationships with key stakeholders to proactively influence project outcomes. **Leadership and People Development:** - Acting as an effective leader in business line and matrix roles. - Leading the development of Biostatistics talent and capabilities. - Setting clear objectives and priorities as a First Line Leader (FLL), actively engaging in development and performance goal-setting, and focusing on enhancing team capabilities. **Qualifications:** - Educational Background: PhD or Masters degree in Biostatistics, Statistics, Mathematics, or a related quantitative discipline. Advanced training in statistical methodologies, clinical trial design, or data science is preferred. - Technical Expertise: Strong foundation in statistical methodologies, proficiency in statistical programming environments such as R, and solid domain knowledge in drug development lifecycle. - Experience: 10-15 years of biostatistics experience in the pharmaceutical or healthcare industry, showcasing leadership in statistical strategies and innovative trial designs. At GSK, we are committed to fostering an inclusive environment where diversity is embraced, and reasonable adjustments are made during the recruitment process to support all candidates. If you require any accommodations, please reach out to our Recruitment Team at IN.recruitment-adjustments@gsk.com. Join us at GSK for the opportunity to unite science, technology, and talent to proactively combat diseases and positively impact the health of billions of people worldwide. Together, we can make a difference.,

This role for Group Lead - Data Scientist is to provide people leadership and analytical support to our business partners in the AWM Finance. The candidate should be hands on in advanced programing, visualization, and Analytics algorithms. Work in a matrix organization with data scientists, data engineers and decision science managers, collaborate with cross-functional teams, recommend, and implement analytical solutions to Advise & Wealth Management business Key Responsibilities Responsible for the analysis, design, development and implementation of decision support models and data visualizations using Python, Microsoft Excel/PowerBI based tools like PowerPivot/PowerView. Develop innovative analytical solutions, like segmentation, predictive modeling, simulation modeling, and optimization. Develops and maintains infrastructure systems that connect organization&aposs internal data sets; creates new data collection frameworks for structured and unstructured data of client organization. Interact with business partner to analyze and interpret business needs. Ensure to translate top level business goals into quantifiable analysis activities. Test and measure effectiveness of new approaches as well as process improvements. Coordinate tasks and assignments across many individuals Develop presentation decks and communicate clearly to business leaders. Analytical thought leader participates in discovery sessions to identify opportunities to leverage analytics to automate and enhance business processes Deliver on advanced analytical requests related to targeting and/or segmentation related problems Participate in solving multiple complex problems. Mentor junior team members in solving business problems through the use of advanced analytics algorithms. Required Qualifications Engineering (B.E./ B. Tech.) graduate or Masters (Stats, Quant, Mathematics, OR, etc.) from a well-recognized institute 7 - 10 years of experience in advanced analytical skill-oriented work profiles Experience in conducting hands-on complex analytics projects using advanced statistical methods such GLM, Bayesian methods, random forest, gradient boosting, neural network, and machine learning methods etc. Proficient in Python programming, cloud computing (AWS), SQL and Data Lake experience Proven ability to present/communicate effectively complex technical materials to business leaders Strategic thinker who can provide technical solutions for very complex business problems Excellent knowledge of MS Office Suite In-depth knowledge of financial services industry with a focus in risk and ability to articulate key concepts to others Experience with Finance industry 5+ years, specifically supporting Wealth management, Insurance, Banking, and other investment instruments Experience on working with AWS Cloud framework and associated tools Experience on working in data lake environment Preferred Qualifications About Our Company Ameriprise India LLP has been providing client based financial solutions to help clients plan and achieve their financial objectives for 125 years. We are a U.S. based financial planning company headquartered in Minneapolis with a global presence. The firms focus areas include Asset Management and Advice, Retirement Planning and Insurance Protection. Be part of an inclusive, collaborative culture that rewards you for your contributions and work with other talented individuals who share your passion for doing great work. Youll also have plenty of opportunities to make your mark at the office and a difference in your community. So if you&aposre talented, driven and want to work for a strong ethical company that cares, take the next step and create a career at Ameriprise India LLP. Ameriprise India LLP is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, genetic information, age, sexual orientation, gender identity, disability, veteran status, marital status, family status or any other basis prohibited by law. Full-Time/Part-Time Full time Timings (2:00p-10:30p) India Business Unit AWMPO AWMP&S President&aposs Office Job Family Group Data Show more Show less

You will be taking up a leadership role within the AWM LFO Predictive Analytics Ameriprise India team, where your primary responsibility will involve leading advanced data science initiatives. Working within a matrix organizational structure alongside data scientists, data engineers, and decision science managers, you will collaborate with cross-functional teams to recommend and implement analytical solutions that support the Advise & Wealth Management business. Your active participation in strategic planning, project management, and hands-on complex data analysis will be crucial in aiding business decisions. Your key responsibilities will include analyzing, designing, developing, and implementing decision support models and data visualizations using tools such as Python, Microsoft Excel, and PowerBI. You will be expected to develop innovative analytical solutions like segmentation, predictive modeling, simulation modeling, and optimization. Additionally, you will play a role in developing and maintaining infrastructure systems connecting internal data sets, creating new data collection frameworks for structured and unstructured data of client organizations, and liaising with business partners to interpret business needs. Furthermore, you will be tasked with translating high-level business objectives into quantifiable analysis activities, testing and measuring the effectiveness of new approaches, coordinating tasks across individuals, developing presentation decks, and effectively communicating with business leaders. Thought leadership in solving complex business problems, driving team performance, ensuring people development, and building high-performing teams will also be part of your responsibilities. To be eligible for this role, you must hold a degree in Engineering (B.E./ B.Tech.) or Masters in Stats, Quant, Mathematics, OR, etc., from a reputable institute, with an MBA degree being preferred. You should have a minimum of 12 years of relevant experience in the field of Data Science, hands-on experience in complex analytics projects, proficiency in Python programming, cloud computing, SQL, Data Lake experience, and the ability to effectively present technical materials to business leaders. Moreover, you are expected to possess a strategic mindset, excellent knowledge of MS Office Suite, in-depth understanding of the financial services industry with a focus on risk, and people leadership experience. Preferred qualifications include experience in a data lake environment, knowledge of tools such as DataIku, PowerBI, Tableau, and other BI tools. This leadership opportunity at Ameriprise India LLP offers a chance to be part of a global financial planning company with a strong ethical culture, collaborative environment, and rewarding opportunities for making a difference in both the organization and the community.,

About the Company: We are one of India's premier integrated political consulting firms specializing in building data-driven 360-degree election campaigns. Our expertise lies in providing strategic advice and implementation services that merge data-backed insights with in-depth ground intelligence to create comprehensive electoral campaigns. With a deep passion for democracy and the impact of politics on our world, we have assembled a team of exceptional individuals from prestigious institutions and diverse professional backgrounds. Together, we bring 7 years of experience in developing electoral strategies that initiate conversations, drive change, and influence the electoral and legislative landscapes of our country. Job Summary: We are currently looking for a detail-oriented and methodical Statistical Analyst/Statistician to join our analytics team. The ideal candidate will play a crucial role in collecting, analyzing, and interpreting quantitative data to facilitate strategic decision-making processes. This position involves developing statistical models, conducting simulations, and generating reports and visualizations to extract insights that inform organizational priorities. Additionally, the candidate will be expected to share data-driven insights through reporting and publications. Key Responsibilities: - Collect, clean, and prepare extensive datasets from various sources for analysis. - Utilize statistical methods and models (e.g., regression, hypothesis testing, inference building, panel, categorical, multilevel models) to analyze trends, patterns, and make forecasts. - Interpret and effectively communicate complex data findings and forecasts to non-technical stakeholders. - Create and maintain dashboards, forecasts, and ad hoc reports. - Assist in survey design and evaluation processes, including sampling, weighting, and post-stratification if applicable. - Collaborate with data engineers, subject matter experts, and decision-makers to define analysis goals. - Ensure the accuracy, integrity, and privacy of all processed data. Required/Minimum Qualifications: - Bachelor's or Master's degree in Statistics, Mathematics, Data Science, Economics (Econometrics), or a related quantitative field. - Proficiency in Microsoft Excel, Word, and G-Suites is essential. - Proficiency in statistical software, with preference for R/SPSS. - Strong understanding of statistical concepts and modeling, including linear and logistic regression, ANOVA, Time-Series Modeling, and Bayesian methods. - Experience working with large datasets and relational databases, with consideration for both graduate and undergraduate experiences. - Excellent analytical, problem-solving, and organizational skills. - Strong communication skills, especially in translating data for non-technical audiences. Preferred Qualifications: - Demonstrated ability to manage multiple large datasets concurrently for hypothesis building and inference testing. - Academic excellence or research experience in quantitative fields like econometrics, finance, mathematics, Bayesian statistics, etc. - Experience in model building using Python, R will be advantageous. - Proficiency in query writing and data automation tasks (SQL, VBA, etc.) is a plus. - Ability to independently handle multiple projects and meet the key requirements of internal stakeholders. - Previous experience or postgraduate exposure to publishing academic research is favorable. Location: BLR - 4th Floor, VK Kalyani Commercial Complex, Opp to BDA Sanky Road, Bangalore, 560021.,

We are looking for an experienced AI/ML Architect to spearhead the design, development, and deployment of cutting-edge AI and machine learning systems. As the ideal candidate, you should possess a strong technical background in Python and data science libraries, profound expertise in AI and ML algorithms, and hands-on experience in crafting scalable AI solutions. This role demands a blend of technical acumen, leadership skills, and innovative thinking to enhance our AI capabilities. Your responsibilities will include identifying, cleaning, and summarizing complex datasets from various sources, developing Python/PySpark scripts for data processing and transformation, and applying advanced machine learning techniques like Bayesian methods and deep learning algorithms. You will design and fine-tune machine learning models, build efficient data pipelines, and leverage distributed databases and frameworks for large-scale data processing. In addition, you will lead the design and architecture of AI systems, with a focus on Retrieval-Augmented Generation (RAG) techniques and large language models. Your qualifications should encompass 5-7 years of total experience with 2-3 years in AI/ML, proficiency in Python and data science libraries, hands-on experience with PySpark scripting and AWS services, strong knowledge of Bayesian methods and time series forecasting, and expertise in machine learning algorithms and deep learning frameworks. You should also have experience in structured, unstructured, and semi-structured data, advanced knowledge of distributed databases, and familiarity with RAG systems and large language models for AI outputs. Strong collaboration, leadership, and mentorship skills are essential. Preferred qualifications include experience with Spark MLlib, SciPy, StatsModels, SAS, and R, a proven track record in developing RAG systems, and the ability to innovate and apply the latest AI techniques to real-world business challenges. Join our team at TechAhead, a global digital transformation company known for AI-first product design thinking and bespoke development solutions. With over 14 years of experience and partnerships with Fortune 500 companies, we are committed to driving digital innovation and delivering excellence. At TechAhead, you will be part of a dynamic team that values continuous learning, growth, and crafting tailored solutions for our clients. Together, let's shape the future of digital innovation worldwide!,

Othor AI is seeking a talented and motivated Mathematician Research Intern to join our decision intelligence team. This internship offers an exceptional opportunity to work at the intersection of advanced mathematics, artificial intelligence, and real-world decision-making systems. You&aposll contribute to cutting-edge research that transforms how organizations make complex decisions through mathematical modeling and AI-driven insights. Key Responsibilities Develop and analyze mathematical models for decision optimization problems Research and implement novel algorithms for multi-criteria decision analysis Collaborate with AI researchers to integrate mathematical frameworks into machine learning pipelines Conduct theoretical analysis of decision intelligence algorithms and their convergence properties Prototype mathematical solutions using Python, R, or MATLAB Contribute to research publications and technical documentation Present findings to cross-functional teams and external stakeholders Assist in developing mathematical foundations for explainable AI decision systems Required Qualifications Currently pursuing or recently completed Master&aposs or PhD in Mathematics, Applied Mathematics, Operations Research, or related field Strong background in optimization theory, linear algebra, and probability theory Experience with mathematical modeling and algorithm development Proficiency in at least one programming language (Python, R, MATLAB, or Julia preferred) Knowledge of statistical analysis and numerical methods Excellent analytical and problem-solving skills Strong written and verbal communication abilities Ability to work independently and collaboratively in a fast-paced research environment Preferred Qualifications Experience with machine learning and artificial intelligence concepts Background in game theory, decision theory, or multi-objective optimization Familiarity with deep learning frameworks (TensorFlow, PyTorch) Experience with mathematical software (Mathematica, Maple, or similar) Previous research experience in applied mathematics or related fields Publications in peer-reviewed journals or conferences Knowledge of reinforcement learning or Bayesian methods What We Offer Mentorship from leading researchers in decision intelligence and AI Opportunity to work on challenging, real-world mathematical problems Access to cutting-edge computational resources and research tools Collaborative environment with opportunities for professional growth Competitive internship compensation Potential for publication opportunities and conference presentations Flexible hybrid work arrangements Networking opportunities within the AI and decision science community Duration & Commitment 3-6 month internship with potential for extension Full-time commitment (40 hours/week) preferred Part-time arrangements considered for exceptional candidates Start date flexible based on candidate availability About Othor AI Othor AI is at the forefront of decision intelligence, developing AI systems that help organizations make better decisions through advanced mathematical modeling and machine learning. Our multidisciplinary team combines expertise in mathematics, computer science, and domain-specific knowledge to solve complex real-world problems. Show more Show less

We are seeking engineers or applied scientists who have expertise in implementing data mining and machine learning systems to contribute to the development of an innovative online education platform that is tailored to the unique needs of each student. Your responsibilities will include: - Demonstrating a strong passion and enthusiasm for constructing scalable systems that can analyze extensive datasets and provide actionable insights. - Showcasing a proven track record of identifying connections within vast and seemingly unrelated datasets. - Displaying the ability to work with incomplete or imperfect data sets effectively. - Possessing knowledge of linear algebra and proficiency in manipulating data through matrix algorithms. - Having the capability to develop and interpret probabilistic models of intricate, multi-dimensional systems. - Demonstrating experience in quantitative analysis using Python. - Having familiarity with database technologies like SQL. - Showcasing solid programming skills in Java, C, C++, or Python. Preferred experience with the following technologies: - Collaborative filtering. - Decision trees and automatic tree generation. - Bayesian methods. - Clustering techniques including principal components analysis, k-means, etc. Desired qualifications include: - Proficiency in Hadoop or other MapReduce implementations. - Experience in semantic text mining or natural language processing. - Prior involvement in high-stakes information retrieval and statistical analysis, such as Bioinformatics or Fraud Detection. If you believe you meet these qualifications and are excited about this opportunity, please send your resume to info@zunopy.com.,

As a key member of the GSK organization, you will be responsible for enhancing our disease understanding and shaping the future of the Asia Development Biostatistics function. Your role will involve utilizing statistical methods and machine learning techniques to support business critical projects and drive disease-aligned decision-making in R&D. By applying advanced statistical methodologies and collaborating with global functional groups, you will play a crucial role in optimizing analytical methods and ensuring robust evidence for informed decision-making. Your responsibilities will include identifying opportunities to enhance disease understanding, leading strategic projects within Asia Development Biostatistics, and presenting statistical principles and results to stakeholders at all levels. Additionally, you will interact with external scientific groups and vendors to contribute to innovation and the adoption of novel statistical methodologies within GSK Asia and the pharmaceutical industry. To be successful in this role, you should have a PhD in Statistics or a related field, along with a minimum of 10 years of experience in drug development and 5 years of experience in a leadership role. Your knowledge of the drug development process and demonstrated ability to influence positive change will be essential. Additionally, experience in applying various statistical methodologies, digital fluency, and strong communication skills will be beneficial for this position. If you are a proactive and driven individual with a passion for patients, a keen interest in clinical statistics, and a track record of delivering high-quality results under tight deadlines, we encourage you to apply. This role offers the opportunity to lead innovation in Asia Development Biostatistics and contribute to the success of GSK on a global scale.,

As a Data Scientist, you will be responsible for building cutting-edge models using NLP, ML, and AI techniques to solve a variety of problems across different domains. Your main tasks will include working closely with the engineering team to deploy models in production, validating the models, and ensuring their effectiveness. You should possess expert-level knowledge in Natural Language Processing, Information Extraction, Scraping, and Text Mining Algorithms, as well as a strong familiarity with deep learning methods for text analytics. Proficiency in Machine Learning algorithms such as XGBoost, Linear Regression, Logistic Regression, SVM, Random Forest, Bayesian Methods, Unsupervised Learning, and Reinforcement Learning is essential for this role. Additionally, experience in time series analysis with real-world datasets, familiarity with technologies like Flask, FastAPI, and Hug, and being an expert Python programmer are key requirements for this position. You should have a proven track record of expertise demonstrated through high-quality publications, competitions, or challenges. Collaboration with domain experts, a passion for making a meaningful impact, and strong problem-solving skills are highly valued attributes. A minimum qualification of B.E/B.Tech in Computer Science, Electrical Engineering, or EXTC with a solid foundation in mathematics and statistics is necessary. Excellent communication skills, teamwork abilities, and the capacity to thrive in a startup environment are also essential for success in this role. In this role, you will be expected to take care of Text Analytics on Qualitative Customer Feedback and Call Center complaints conversations via Email or Chat. The ideal candidate should have 2 to 8 years of relevant experience, with a salary ranging from 15 Lac to 18 Lac P.A. The industry focus is on Analytics and Business Intelligence. If you are a Data Scientist with expertise in Core Python, Machine Learning, and a strong interest in an internship, this opportunity is perfect for you. Walk-ins are welcome for candidates who meet the specified qualifications and key skills outlined above.,