2920 Statistical Modeling Jobs - Page 23

Develop and implement statistical analysis plans for clinical trials. Conduct statistical reviews of case report forms, annotated CRFs, database structures, and study-related documentation. Required Candidate profile Strong knowledge of statistical concepts, including regression, time series, mixed effects, and survival analysis. Experience with statistical software packages such as SAS, R, or Python.

Develop and implement statistical analysis plans for clinical trials, ensuring compliance with regulatory requirements. Collaborate with cross-functional teams to design and conduct statistical studies. Required Candidate profile Strong understanding of biostatistics principles, including experimental design, statistical modeling, and data interpretation.

Data Scientist Bangalore Based This is for Contract Role- Ongoing Contract Long Term. Work From Office-2 Days a week. NP:Who can Join Immediately . Role & responsibilities Key Responsibilities: Design, develop, and implement AI/ML models for retail use cases such as dynamic pricing, dynamic routing, inventory management, personalized recommendations. Build scalable AI pipelines and integrate models into production systems using cloud and edge technologies. Collaborate with data scientists, software engineers, and business stakeholders to translate business needs into technical solutions. Work on computer vision (e.g., shelf analytics, visual search) and NLP (e.g., chatbots, sentiment analysi...

Develop and implement statistical analysis plans for clinical trials, ensuring compliance with regulatory requirements. Collaborate with cross-functional teams to design and conduct statistical studies, including data management and reporting. Required Candidate profile Strong knowledge of statistical concepts, methods, and techniques, with a focus on biostatistics. Experience working in the pharmaceutical industry or related field, preferably in a CRO setting.

5 to 7 years of experience in Data Science or Machine Learning roles Proven ability to work on end-to-end ML projectsfrom research to production Conduct in-depth machine learning research and stay updated with state-of-the-art advancements Read, interpret, and implement research papers, especially in the Generative AI domain

Job Summary: The Data Scientist will be responsible for analyzing complex datasets to extract valuable insights, build predictive models, and support data-driven decision-making. This role involves collaborating with business, engineering, and product teams to identify opportunities where data science can drive measurable business outcomes. Key Responsibilities: Collect, clean, and analyze large structured and unstructured datasets from multiple sources. Develop and implement machine learning (ML) and statistical models to solve real-world business problems. Work with stakeholders to define business objectives and translate them into analytical solutions. Design and execute A/B tests , data ...

Develop and implement statistical analysis plans for clinical trials. Conduct statistical programming activities, including data management, reporting, and visualization. Collaborate with cross-functional teams to ensure timely Required Candidate profile Strong knowledge of biostatistics and statistical programming principles. Excellent analytical, problem-solving, and communication skills. Ability to work independently and as part of a team.

Working with inspiring and experienced colleagues, you'll find that the atmosphere in our city-centre office in Krakw is informal and engaging. With drive and ingenuity, our teams deliver vital services to PepsiCo employees around the world. With an active, get-things-done culture, this is a place where your dynamism and agility will make a difference. Responsibilities Lead delivery of the in-house media measurement projects (MMM) across 1-2 and support 3-4 countries in Europe Manage actual media and sales data collection with internal and external Media agencies and Insights teams, validate data accuracy and make necessary data transformation Partner with the technical team (product owner, ...

As an essential member of the team at Baxter, your role involves coordinating closely with in-country country business partners and finance teams to review projections, budgets, and historical results. Your responsibilities also include loading budget and forecast adjustments into the system, ensuring the quality, accuracy, and timeliness of monthly reports, forecasts, and annual budget/strategic plan preparation. Additionally, you will support the delivery of comprehensive monthly reporting packages for management, conduct strategic ad hoc reporting and financial analysis, and update process flows and operating manuals as needed. Key Responsibilities: - Coordinate closely with in-country co...

As a Reliability Consultant at our company, you will be responsible for providing reliability engineering, RAM, and Predictive Maintenance (PdM) support for industrial clients. Your main role will involve developing robust analysis to determine the reliability of assets, components, equipment, and processes as part of our enhanced Reliability & Asset Management program. You will work closely with clients to ensure the reliability and maintainability of new and modified installations throughout their entire life cycle. **Key Responsibilities:** - Work with the client to ensure the reliability and maintainability of new and modified installations, adhering to the life cycle asset management (L...

Role Overview: As a Senior Statistician at Rhythm, you will lead statistical research, design experiments, develop predictive models, and ensure robust data-driven insights. Collaborating closely with data scientists, AI engineers, and business stakeholders, you will build scalable and interpretable statistical models that support Rhythm Innovations" AI initiatives. Your expertise in statistical methodologies and machine learning will play a crucial role in enhancing the accuracy, reliability, and fairness of AI-driven solutions. Key Responsibilities: - Analyze customer data to identify patterns, establish correlations, and derive actionable insights to enhance AI solutions. - Develop and ap...

Role Overview: As a Modeling Analytics Senior Associate in the Credit Card Loss Forecasting within the Consumer & Business Banking (CCB) Risk Management group, you will be responsible for leading credit forecasting for the $220B credit card portfolio. This role requires strong data analytical knowledge and skills to generate short- and long-term loss forecasts and perform attribution analysis. The role encompasses all aspects of loss forecasting, including CCAR, CECL, Budgets, and Risk Appetite. This is an exciting opportunity to work on high-impact strategy initiatives as they become the key focus of the firm and across the financial services industry. You will excel at creative thinking an...

As the Supply Planning Center of Excellence (COE) Lead at Apollo Tyres Ltd, you will be instrumental in driving best-in-class supply planning practices globally. Your key responsibilities will include: - Developing and implementing a comprehensive Supply Planning COE strategy aligned with global supply chain objectives - Leading the design, deployment, and continuous improvement of supply planning processes, systems, and tools - Providing subject matter expertise and training to regional teams on supply planning methodologies, tools, and best practices - Navigating the complex cross-functional environment by collaborating with various teams and partners across regions and functions - Integra...

**Role Overview:** As an ML / Data Science Engineer at Anervea, you will be responsible for designing, training, deploying, and maintaining machine learning models across multiple products. Your role will involve building models that predict clinical trial outcomes, extract insights from structured and unstructured healthcare data, and support real-time scoring for sales or market access use cases. Collaboration with AI engineers, backend developers, and product owners will be key to translating data into product features that are explainable, reliable, and impactful. **Key Responsibilities:** - Develop and optimize predictive models using algorithms such as XGBoost, Random Forest, Logistic ...

We are looking for a highly skilled and experienced Analyst/Sr. Analyst to join our team at ACME SERVICES PRIVATE LIMITED, with 2-4 years of experience in the field. Roles and Responsibility Conduct thorough analysis of complex data sets to identify trends and patterns. Develop and implement effective analytical models and techniques to drive business growth. Collaborate with cross-functional teams to provide actionable insights and recommendations. Design and maintain databases and data systems to support business operations. Develop and present reports and dashboards to senior management and stakeholders. Stay up-to-date with industry trends and emerging technologies to improve processes. ...

Overview We are seeking a Data scientist focusing on statistical modeling components, building classification, prediction, and optimization systems for the Claims Operations workflows . Responsibilities Develop classification and prediction models. Create pattern recognition systems for claims processing. Build optimization components for workflow efficiency. Implement evaluation metrics for model quality. Support user enablement and training. Assist with model documentation and knowledge transfer. Qualifications Develop classification and prediction models. Create pattern recognition systems for claims processing. Build optimization components for workflow efficiency. Implement evaluation m...

Role & responsibilities You would be required to Identify, develop and implement the appropriate statistical techniques, algorithms and Deep learning / ML Models to create new, scalable solutions that address business challenges across industry domains. Define, develop, maintain and evolve data models, tools and capabilities. Communicateyourfindings to the appropriate teams through visualizations Collaborate and communicate findings to diverse stakeholders Provide solutions for but not limited to: Object detection/Image recognition, natural language processing, Sentiment Analysis, Topic Modeling, Concept Extraction, Recommender Systems, Text Classification, Clustering , Customer Segmentation...

Job Purpose Risk Management is core to Bajaj Finance. Most of the decisions in Risk Management are data driven and analytical. Statistical models are required to look at multi-variate dimensions from a risk perspective including calculating the expected credit loss, scenario analysis, forecasting, Stress Testing etc. Statistical models are built and scorecards are prepared which assesses parameters like PD (probability of default), EAD and LGD which are critical from a regulatory perspective and forms important aspect of regulatory reporting purpose. This role gives an opportunity of going beyond the above and gives deeper insights on the Regulatory norms on Credit Risk. The role allows cand...

Job Purpose Risk Management is core to Bajaj Finance. Most of the decisions in Risk Management are data driven and analytical. Statistical models are required to look at multi-variate dimensions from a risk perspective including calculating the expected credit loss, scenario analysis, forecasting, Stress Testing etc. Statistical models are built and scorecards are prepared which assesses parameters like PD (probability of default), EAD and LGD which are critical from a regulatory perspective and forms important aspect of regulatory reporting purpose. This role gives an opportunity of going beyond the above and gives deeper insights on the Regulatory norms on Credit Risk. The role allows cand...

5+years of development experience Strong Python Development background + relevant libraries experience (Transformers, Langchain, Pandasetc.) Experience with prompt engineering, fine-tuning LLMs etc. Mandatory Competencies Data Science and Machine Learning - Data Science and Machine Learning - Gen AI Beh - Communication Data Science and Machine Learning - Data Science and Machine Learning - Python

10+ years of experience in data science, with at least 3–5 years in a leadership role. Proven experience deploying scalable machine learning solutions in a production environment. Required Candidate profile Python, R, SQL, and common ML libraries (scikit-learn, TensorFlow, PyTorch, XGBoost, etc.). Strong understanding of MLOps, data engineering, and cloud platforms (AWS, GCP, Azure).

Our Client is a leader in Aviation Industry with offices strategically located in Gurugram and Bengaluru. The India Knowledge Center (IKC) is a wholly owned subsidiary of our client which plays a crucial role in supporting the companys corporate functions with a dynamic team of professionals driving innovation, efficiency and excellence in the aviation industry. The Job We are Seeking to identify an Analyst Data Scientist & ML Engineer role, The team is currently looking for an entry level data scientist who has a passion for data and analytics with the willingness to dig deep into details as well as the ability to assess the big picture. In-depth understanding of modeling techniques and the...

Strong proficiency in Python.Experience with Large Language Models.Familiarity with machine learning and artificial intelligence. Required Candidate profile Experience with Google cloud platform.

Position Title: Data Scientist Job Summary We are seeking a Data Scientist to develop and implement data-driven, AI-powered solutions across the organization. In this role, you will apply analytical, statistical, and programming expertise to clean, aggregate, and interpret large datasetstranslating complex information into actionable insights. You will leverage machine learning algorithms, generative AI (Gen AI), and Retrieval Augmented Generation (RAG) methodologies to drive innovation, inform strategic decisions, and eHectively communicate findings to both technical and non-technical stakeholders.

Strong problem-solving skills with an emphasis on product development. Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets. Experience 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 ...