11 Predictive Analysis Jobs

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world. The Business & Industry Copilots group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered. This is an exciting time to join our group Customer Experience (CXP) and work on something highly strategic to Microsoft. The goal of CXP Engineering is to build the next generation of our applications running on Dynamics 365, AI, Copilot, and several other Microsoft cloud services to drive AI transformation across Marketing, Sales, Services and Support organizations within Microsoft. We innovate quickly and collaborate closely with our partners and customers in an agile, high-energy environment. Leveraging the scalability and value from Azure & Power Platform, we ensure our solutions are robust and efficient. Our organizations implementation acts as reference architecture for large companies and helps drive product capabilities. If the opportunity to collaborate with a diverse engineering team, on enabling end-to-end business scenarios using cutting-edge technologies and to solve challenging problems for large scale 24x7 business SaaS applications excite you, please come and talk to us! We are hiring a passionate Principal SW Engineering Manager to lead a team of highly motivated and talented software developers building highly scalable data platforms and deliver services and experiences for empowering Microsofts customer, seller and partner ecosystem to be successful. This is a unique opportunity to use your leadership skills and experience in building core technologies that will directly affect the future of Microsoft on the cloud. In this position, you will be part of a fun-loving, diverse team that seeks challenges, loves learning and values teamwork. You will collaborate with team members and partners to build high-quality and innovative data platforms with full stack data solutions using latest technologies in a dynamic and agile environment and have opportunities to anticipate future technical needs of the team and provide technical leadership to keep raising the bar for our competition. We use industry-standard technology: C#, JavaScript/Typescript, HTML5, ETL/ELT, Data warehousing, and/ or Business Intelligence Development. Responsibilities As a leader of the engineering team, you will be responsible for the following: - Build and lead a world class data engineering team. - Passionate about technology and obsessed about customer needs. - Champion data-driven decisions for features identification, prioritization and delivery. - Managing multiple projects, including timelines, customer interaction, feature tradeoffs, etc. - Delivering on an ambitious product and services roadmap, including building new services on top of vast amount data collected by our batch and near real time data engines. - Design and architect internet scale and reliable services. - Leveraging machine learning (ML) models knowledge to select appropriate solutions for business objectives. - Communicate effectively and build relationship with our partner teams and stakeholders. - Help shape our long-term architecture and technology choices across the full client and services stack. - Understand the talent needs of the team and help recruit new talent. - Mentoring and growing other engineers to bring in efficiency and better productivity. - Experiment with and recommend new technologies that simplify or improve the tech stack. - Work to help build an inclusive working environment. Qualifications Basic Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. - 12+ years of experience of building high scale enterprise Business Intelligence and data engineering solutions. - 3+ years of management experience leading a high-performance engineering team. - Proficient in designing and developing distributed systems on cloud platform. - Must be able to plan work, and work to a plan adapting as necessary in a rapidly evolving environment. - Experience using a variety of data stores, including data ETL/ELT, warehouses, RDBMS, in-memory caches, and document Databases. - Experience using ML, anomaly detection, predictive analysis, exploratory data analysis. - A strong understanding of the value of Data, data exploration and the benefits of a data-driven organizational culture. - Strong communication skills and proficiency with executive communications - Demonstrated ability to effectively lead and operate in cross-functional global organization Preferred Qualifications - Prior experience as an engineering site leader is a strong plus. - Proven success in recruiting and scaling engineering organizations effectively. - Demonstrated ability to provide technical leadership to teams, with experience managing large-scale data engineering projects. - Hands-on experience working with large data sets using tools such as SQL, Databricks, PySparkSQL, Synapse, Azure Data Factory, or similar technologies. - Expertise in one or more of the following areas: AI and Machine Learning. - Experience with Business Intelligence or data visualization tools, particularly Power BI, is highly beneficial,

You will be responsible for developing and optimizing AI/ML models using Python across various applications. Your role will involve conducting Research & Development (R&D) to implement cutting-edge AI methodologies and working with Large Language Models (LLMs) for NLP, text generation, and conversational AI applications. It will also include applying Predictive Analysis techniques to derive data-driven insights and enhance decision-making processes. Collaboration with cross-functional teams to integrate AI solutions seamlessly into business processes is a key aspect of this role. Additionally, staying updated with the latest advancements in AI and ML to improve model performance is crucial. To excel in this position, you must possess a strong proficiency in Python and its AI/ML libraries such as TensorFlow, PyTorch, and Scikit-learn. Previous experience in Research & Development (R&D) for AI and machine learning applications is highly desirable. Hands-on experience with Large Language Models (LLMs) like GPT, BERT, or similar architectures is essential. Expertise in Predictive Analysis, which includes statistical modeling and machine learning techniques, will be a significant part of your responsibilities. Strong problem-solving skills and the ability to work effectively with large datasets are essential. Knowledge of cloud platforms like AWS, GCP, or Azure would be advantageous. The ideal candidate should hold a Masters or Ph.D. in Computer Science, AI, Data Science, or a related field. Experience with MLOps, model deployment, and API integration is preferred. Familiarity with data visualization tools and frameworks will be an added advantage. With 6-8 years of experience, your primary skill set should revolve around AI/ML Development, with additional expertise in TensorFlow and NLP.,

Are you seeking an exciting opportunity to join a dynamic and growing team in a fast-paced and challenging environment This unique role offers you the chance to collaborate with the Business team to provide a comprehensive view. As a Loss Forecasting Modeling Analytics Associate in the Consumer Credit Risk Management team, your primary responsibility will be to execute credit loss forecasting models. You will diagnose model accuracy and lead analyses to evaluate relationships and patterns that impact the loss performance of our product portfolio. Your role will involve spearheading the control framework within our function and executing processes through analytical insights, predictive analysis, and newer technology applications. This position presents an exciting opportunity for skill development in a fast-paced setting. The Loss Forecasting team within Consumer Credit Risk Management is tasked with providing reasonable forecasts of delinquencies, charge-offs, and recovery of charged-off assets throughout the year. These forecasts are essential for regulatory exercises such as CCAR, capacity planning, and budgeting in collaboration with P&A, collections, and recovery teams. Additionally, the team monitors the portfolio's health and communicates emerging trends to stakeholders and senior management. **Job Responsibilities:** - Execute credit loss forecasting models to predict credit losses and allowance for the product portfolio, supporting regulatory exercises like CCAR, CECL, firmwide Risk Appetite, and Budget. - Present the results and levers of loss forecasting to senior management and internal stakeholders. - Diagnose model parameters and collaborate with the modeling team to propose changes for accuracy at granular segments. - Engage in cross-functional communications with Risk Management, Finance, Marketing, and Collections to incorporate strategic initiatives into the forecast. - Conduct macro sensitivity analytics, loss, and allowance attribution, deep dives, and storyboarding. - Lead advanced analyses to evaluate relationships and patterns driving loss performance. **Required Qualifications, Capabilities, and Skills:** - Bachelor's or Master's Degree in a quantitative discipline (Finance/Stats/Econ/Math/Engineering) or equivalent work/training. - Minimum of 4 years of banking analytics, product/revenue analytics, FP&A, and/or consulting experience for a senior Associate role. - Minimum of 2 years of banking analytics, product/revenue analytics, and/or consulting experience for an Associate role. - Proficiency in Microsoft Office suite of products (Advanced Excel, VBA, and PowerPoint). - Strong analytical and problem-solving skills with the ability to interpret large amounts of data and understand its operational and financial implications. - Well-organized and structured with excellent communication and presentation skills. **Additional Qualifications:** - Working knowledge of regulatory modeling (IFRS9/CECL/CCAR). - Credit risk experience in one or more US consumer credit portfolios. - Working knowledge of P&A, product analytics, statistical modeling, and model execution. - Actual work experience in Python/SAS/SQL/Alteryx/Cloud application architecture. In summary, this role offers a challenging yet rewarding opportunity to contribute to credit loss forecasting models and play a crucial role in the Consumer Credit Risk Management team.,

As a Data Scientist at our company, you will be responsible for analyzing large sets of structured and unstructured data to uncover trends and insights that can drive business decisions. Your expertise in data mining, statistical analysis, and machine learning will be crucial in developing and implementing machine learning models and algorithms for predictive and prescriptive analysis. Collaborating with cross-functional teams, you will play a key role in building models, developing algorithms, and enhancing our data infrastructure. Your key responsibilities will include performing exploratory data analysis (EDA), preparing reports using data visualization tools such as Tableau, Power BI, and Matplotlib, and conducting A/B testing and statistical analysis to assess the impact of business changes. Working closely with data engineers, you will build and maintain scalable data pipelines, ensuring data quality and optimizing models for performance and scalability. Additionally, you will stay up to date with the latest techniques in data science and machine learning, applying them to business challenges. Your ability to present findings and insights to non-technical stakeholders and executives in an understandable format will be essential in driving strategic decision-making. Supporting ad-hoc analysis and providing data-driven recommendations will also be part of your role. If you have a passion for deriving actionable insights from large data sets and are excited about leveraging data science methodologies to solve business problems, we invite you to join our team as a Data Scientist.,

As a Lead Associate in Analytics & BI Development processes at R1, your primary responsibility will involve writing complex SQL queries, building views, and stored procedures. With at least 3 years of experience, you must demonstrate proficiency in SQL and database management systems. Your role will require you to design, develop, and maintain SQL views and stored procedures, as well as optimize database performance through query tuning and indexing. Collaborating with software developers and data analysts is essential to integrate SQL views and stored procedures with applications. You will be expected to have excellent communication skills to effectively translate complex technical details into simple terms for business leaders and data users. While knowledge of Cloud Computing technologies like Microsoft Azure and Snowflake is beneficial, a deep understanding of database management systems and ETL frameworks is crucial. Additionally, you should possess the ability to develop Transition Tool Kits, documentations, SOPs, and artifacts. In this role, you will be involved in end-to-end analytics processes encompassing storytelling, descriptive, diagnostics, predictive, and prescriptive analysis. Driving the development and analysis of data, reporting automation, dashboarding, and business intelligence programs will be part of your responsibilities. To qualify for this position, you should be a graduate in Computer Science or a related field and have strong communication skills, both written and verbal. Your technical skill set should include over 3 years of experience in relational databases and BI development using SQL server, with proficiency in Advanced Excel and familiarity with Power BI. Experience in designing and developing relational database models, query performance tuning, and writing ad-hoc T-SQL queries is essential. Knowledge of statistical modeling, analysis, and effective communication with technical and business stakeholders are also required. At R1, we operate in a dynamic healthcare environment, leveraging our collective expertise to deliver innovative solutions. Join our fast-growing team to engage in rewarding interactions, collaboration, and continuous professional development. As part of our culture of excellence, you will have the opportunity to contribute meaningfully to the communities we serve worldwide, driving customer success and enhancing patient care. We also believe in giving back to the community and offer a competitive benefits package. To explore more about us, please visit r1rcm.com.,

One of our prestigious client is looking for to hire candidates for the below position Position Type : Sr. Data Scientist Years of Experience: 5 - 7 Years Number of positions: 2 nos Salary / CTC : upto 38 LPA (based on your current salary and on the interview evaluation) Job Summary Responsibilities: Help design and build the next iteration of process automation in Core Map processes employing a highly scalable Big Data infrastructure and machine learning as applied to global-scale digital map-making. Build and test analytic and statistical models to improve a wide variety of both internal data-driven processes for map-making data decisions and system control needs. Act as an expert and evangelist in the areas of data mining, machine learning, statistics, and predictive analysis and modeling. Requirements: MS or PhD in a discipline such as Statistics, Applied Mathematics, Computer Science, or Econometrics with an emphasis or thesis work on one or more of the following: computational statistics/science/engineering, data mining, machine learning, and optimization. Minimum of 5 years related, professional experience. Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc. We should have expert-level knowledge in one or more of these areas. Knowledge of Computer Vision, Deep Learning and Point Cloud Processing algorithms. Proficiency with a statistical analysis package and associated scripting language such as Python, R, Matlab, SAS, etc. Programming experience with SQL, shell script, Python, etc. Knowledge of and ideally some experience with MLOps will be preferred. Knowledge of and ideally some experience with tools such as Pig, Hive, etc., for working with big data in Hadoop and/or Spark for data extraction and data prep for analysis. Experience with and demonstrated capability to effectively interact with both internal and external customer executives, technical and non-technical to explain uses and value of predictive systems and techniques. Demonstrated proficiency with understanding, specifying and explaining predictive modeling solutions and organizing teams of other data scientists and engineers to execute projects delivering those solutions. Preferred Qualifications: Development experience with Java and Scala Development experience with Docker Development experience with GIS data Development experience with NoSQL (i.e. DynamoDB) Knowledge of GPU programming (CUDA or OpenCL) on GPU accelerator architecture ================================================================= Please provide us the following information. along with your updated resume: Your Total Experience: Your Relevant Development Experience in Java: Your Relevant Development Experience in Scala programming: Your Relevant Development Experience with Docker: Your Relevant Development Experience with GIS data: Your Relevant Development Experience with NoSQL (i.e. DynamoDB): Your Relevant Experience with GPU programming (CUDA or OpenCL) on GPU accelerator architecture: Your latest Education with year of passing/percentage: Your Certification (any): If yes, Provide the your code or share the Certication copy: Your Notice Period: Is Buyout option available (yes/no): if yes, Do mention the Buyout notice period amount: Your Current Location: Your Preferred Location: Work from Office / Hybrid: Your Current Salary : Your Expected Salary : Any active offer (yes/no) : If yes, do mention your current offered salary details / offered company name : Your Preferred Interview Date / Time:

Experience: 2 + years Expected Notice Period: 30 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Office (Pune) Placement Type: Full Time Permanent position Must have skills required: Airflow, LLMs, NLP, Statistical Modeling, Predictive Analysis, Forecasting, Python, SQL, MLFlow, pandas, Scikit-learn, XgBoost As an ML / Data Science Engineer at Anervea, youll work on designing, training, deploying, and maintaining machine learning models across multiple products. Youll build 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. Youll collaborate closely with AI engineers, backend developers, and product owners to translate 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 Regression, and ensemble methods Engineer features from real-world healthcare data (clinical trials, treatment adoption, medical events, digital behavior) Analyze datasets from sources like ClinicalTrials.gov, PubMed, Komodo, Apollo.io, and internal survey pipelines Build end-to-end ML pipelines for inference and batch scoring Collaborate with AI engineers to integrate LLM-generated features with traditional models Ensure explainability and robustness of models using SHAP, LIME, or custom logic Validate models against real-world outcomes and client feedback Prepare clean, structured datasets using SQL and Pandas Communicate insights clearly to product, business, and domain teams Document all processes, assumptions, and model outputs thoroughly Technical Skills Required : Strong programming skills in Python (NumPy, Pandas, scikit-learn, XGBoost, LightGBM) Experience with statistical modeling and classification algorithms Solid understanding of feature engineering, model evaluation, and validation techniques Exposure to real-world healthcare, trial, or patient data (strong bonus) Comfortable working with unstructured data and data cleaning techniques Knowledge of SQL and NoSQL databases Familiarity with ML lifecycle tools (MLflow, Airflow, or similar) Bonus: experience working alongside LLMs or incorporating generative features into ML Bonus: knowledge of NLP preprocessing, embeddings, or vector similarity methods Personal Attributes : Strong analytical and problem-solving mindset Ability to convert abstract questions into measurable models Attention to detail and high standards for model quality Willingness to learn life sciences concepts relevant to each use case Clear communicator who can simplify complexity for product and business teams Independent learner who actively follows new trends in ML and data science Reliable, accountable, and driven by outcomesnot just code Bonus Qualities : Experience building models for healthcare, pharma, or biotech Published work or open-source contributions in data science Strong business intuition on how to turn models into product decisions

We are looking for a skilled Data Analyst with excellent communication skills and deep expertise in SQL, Tableau, and modern data warehousing technologies. This role involves designing data models, building insightful dashboards, ensuring data quality, and extracting meaningful insights from large datasets to support strategic business decisions. Key Responsibilities: Write advanced SQL queries to retrieve and manipulate data from cloud data warehouses such as Snowflake, Redshift, or BigQuery. Design and develop data models that support analytics and reporting needs. Build dynamic, interactive dashboards and reports using tools like Tableau, Looker, or Domo. Perform advanced analytics techniques including cohort analysis, time series analysis, scenario analysis, and predictive analytics. Validate data accuracy and perform thorough data QA to ensure high-quality output. Investigate and troubleshoot data issues; perform root cause analysis in collaboration with BI or data engineering teams. Communicate analytical insights clearly and effectively to stakeholders. Required Skills & Qualifications: Excellent communication skills are mandatory for this role. 5+ years of experience in data analytics, BI analytics, or BI engineering roles. Expert-level skills in SQL, with experience writing complex queries and building views. Proven experience using data visualization tools like Tableau, Looker, or Domo. Strong understanding of data modeling principles and best practices. Hands-on experience working with cloud data warehouses such as Snowflake, Redshift, BigQuery, SQL Server, or Oracle. Intermediate-level proficiency with spreadsheet tools like Excel, Google Sheets, or Power BI, including functions, pivots, and lookups. Bachelor's or advanced degree in a relevant field such as Data Science, Computer Science, Statistics, Mathematics, or Information Systems. Ability to collaborate with cross-functional teams, including BI engineers, to optimize reporting solutions. Experience in handling large-scale enterprise data environments. Familiarity with data governance, data cataloging, and metadata management tools (a plus but not required).

We are looking for a skilled Data Analyst with excellent communication skills and deep expertise in SQL, Tableau, and modern data warehousing technologies. This role involves designing data models, building insightful dashboards, ensuring data quality, and extracting meaningful insights from large datasets to support strategic business decisions. Key Responsibilities: Write advanced SQL queries to retrieve and manipulate data from cloud data warehouses such as Snowflake, Redshift, or BigQuery. Design and develop data models that support analytics and reporting needs. Build dynamic, interactive dashboards and reports using tools like Tableau, Looker, or Domo. Perform advanced analytics techniques including cohort analysis, time series analysis, scenario analysis, and predictive analytics. Validate data accuracy and perform thorough data QA to ensure high-quality output. Investigate and troubleshoot data issues; perform root cause analysis in collaboration with BI or data engineering teams. Communicate analytical insights clearly and effectively to stakeholders. Required Skills & Qualifications: Excellent communication skills are mandatory for this role. 5+ years of experience in data analytics, BI analytics, or BI engineering roles. Expert-level skills in SQL, with experience writing complex queries and building views. Proven experience using data visualization tools like Tableau, Looker, or Domo. Strong understanding of data modeling principles and best practices. Hands-on experience working with cloud data warehouses such as Snowflake, Redshift, BigQuery, SQL Server, or Oracle. Intermediate-level proficiency with spreadsheet tools like Excel, Google Sheets, or Power BI, including functions, pivots, and lookups. Bachelor's or advanced degree in a relevant field such as Data Science, Computer Science, Statistics, Mathematics, or Information Systems. Ability to collaborate with cross-functional teams, including BI engineers, to optimize reporting solutions. Experience in handling large-scale enterprise data environments. Familiarity with data governance, data cataloging, and metadata management tools (a plus but not required). Location : - Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote

Key Skills: Marketing Analytics, Analytics, SQL, Python, Business Analysis, Predictive Analysis, Statistical Analysis. Roles and Responsibilities: Gathers operational data from various cross-functional stakeholders to examine past business performance. Identifies data patterns and trends, and provides insights to enhance business decision-making capability in business planning, process improvement, solution assessment, etc. Recommends actions for future developments and strategic business opportunities, as well as enhancements to operational policies. May be involved in exploratory data analysis, confirmatory data analysis, and/or qualitative analysis. Translates data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and communicates clearly and effectively to business partners and senior leaders all findings. Continuously improves processes and strategies by exploring and evaluating new data sources, tools, and capabilities. Works closely with internal and external business partners in building, implementing, tracking, and improving decision strategies. Appropriately assesses risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing, and reporting control issues with transparency. Experience Requirement: 3-8 years of relevant experience in business analytics, data analysis, or business intelligence roles. Proven experience in using analytical tools such as SQL, Excel, Python, or R to extract and analyze data. Hands-on experience with data visualization tools such as Tableau, Power BI, or similar platforms. Experience working in cross-functional teams and supporting decision-making through data-driven insights. Strong track record of identifying business trends and providing actionable recommendations based on data analysis. Demonstrated ability to handle multiple projects simultaneously with a strong attention to detail. Education: B.Tech M.Tech (Dual), MCA, B.Tech.

Position - Project / Sr. Project Engineer - Data Analyst ( Process control, design and audit experience with Power BI skills) We are seeking an analytical and detail-oriented Project / Sr. Project Engineer - Data Analyst with 3 to 5 years of professional experience. This role requires a strong background in process design & control, focusing on optimizing operational workflows and ensuring data integrity. The ideal candidate will possess a deep understanding of Data management, data assurance, or data science, coupled with experience in data verification, audits, and process control & design. Your primary responsibilities will include analyzing complex business processes, identifying areas for improvement, and designing data-driven solutions to enhance efficiency and accuracy. You will be responsible for developing and implementing data governance strategies, ensuring the reliability and quality of data. Proficiency in Power BI is essential, as you will be creating interactive dashboards, reports, and compelling data visualizations to present insights to stakeholders. Experience with predictive analysis will be a significant advantage, enabling you to forecast trends and support proactive decision-making. Furthermore, you will champion innovative data visualization techniques to communicate complex information clearly and effectively. This role requires a strong analytical mindset, excellent problem-solving skills, and the ability to collaborate across various departments to drive process improvements and data-driven strategies.