387 Statistical Modeling Jobs - Page 6

Greetings From Mind Pro Technologies Pvt ltd (www.mindprotech.com) Job Title : Data Scientist Work Location : Karur (Tamil Nadu) or Dharwad (Karnataka ) Np : 15days or Less JOB DESCRIPTION: Must have At least 4+ Years of experience in Python with Data Science. Must have worked on at least one Live project. Experience in relevant field such as Statistics, Computer Science or Applied Math or Operational Research. Must have Masters in (Maths/Statistics or Applied Mathematics/Machine Learning etc.) History of successfully performing customer implementations Strong customer facing skills, and previous consulting experience. Experience of handling high frequency streaming data for real time analysis and reporting. Familiarity with - Natural Language Processing, Statistical Analysis (distribution analysis, correlation, variance, deep learning. Experience in tools like AWS, IBM Watson is a plus. Experience with open source technologies is a must. Excellent communication Ability to lead & build strong teams Ability to work in an ambiguous environment Desired Skills and Experience Languages/Tools: Python/R. Approaches: Machine Learning Concepts: Supervised ANN, Bayesian, Gaussian, Vector Quantization, Logistic Model, Statistical, Predictive Modeling, Minimum Message Length, SVM, Random Forest, Ensembles, ANOVA, Decision Trees, Hidden Markov Models Unsupervised ANN, ARL, Clustering Hierarchical, Cluster Analysis Reinforcement Gen AI, LLM, LSTM, RNN, CNN, KNN Big Data (Good to have): Hadoop /Kafka / Storm / Spark streaming OS: Linux, Windows 32/64 bits. Note: should know supervised and unsupervised learning, semi-supervised learning, neural networks concepts, and how ML algorithms works with training and testing data. Experience on particular data set to train, test and roll-out for production use Tool sets : Python, R, MATLAB or any AI frame work, Neural network, Gen AI, LLM Contact Details: Recruitment Team Mindpro Technologies Pvt Ltd ( www.mindprotech.com ) +91-04324-240904 / +91-9600672304

What You Need 7+ years of relevant experience in market research, strategic consulting, or product marketing with a track record at top consulting (MBB) or leading SaaS technology companies. Experience in healthcare technology or healthcare IT is highly preferred, and a Master s degree is a plus. Proven White Paper & Thought Leadership Expertise: Demonstrated ability to craft in-depth, influential white papers, executive summaries, or reports that resonate with senior stakeholders and establish brand authority. Technical Proficiency: Expert-level understanding of survey design, data analytics, and research methodologies.Experience with SPSS, SAS, Power BI, Tableau, Python, or R is a plus. Healthcare Insight: Solid understanding of value-based care models, healthcare payment reform, and healthcare industry trends in the U.S. Marketing & Strategy Execution: Experience translating research insights into successful marketing strategies that drive measurable business outcomes. Ability to create high-impact research collateral, pitch decks, and sales enablement materials with the polished depth of consulting deliverables. Collaboration & Communication: Exceptional communication, interpersonal, and stakeholder management skills. Strength in presenting complex data to senior leadership in a concise, consultative manner. Campaign & Analytics Tools: Familiarity with marketing automation platforms, CRM systems, and analytics tools is an advantage. Work Ethic: Self-motivated, results-oriented, and comfortable thriving in a fast-paced, dynamic environment.

What You Need Masters in Computer Science, Computer Engineering or other relevant fields (PhD Preferred) 8+ years of experience in Data Science (healthcare experience will be a plus) Strong hands-on experience in Python - building enterprise applications along with optimization techniques. Strong experience with deep learning techniques to build NLP/Computer vision models as well as state of art GenAI pipelines - knowledge of implementing agentic workflows is a plus. Has demonstrable experience deploying deep learning models in production at scale with interactive improvements- would require hands-on expertise with at least 1 deep learning frameworks like Pytorch or Tensorflow. Has keen interest in research and stays updated with key advancements in the area of AI and ML in the industry. Deep understanding of classical ML techniques - Random Forests, SVM, Boosting, Bagging - and building training and evaluation pipelines. Demonstrate experience with global and local model explainability using LIME, SHAP and associated techniques. Hands on experience with at least one ML platform among Databricks, Azure ML, Sagemaker s Experience in developing and deploying production ready models Knowledge of implementing an MLOps framework. Possess a customer-focused attitude through conversations and documentation Here s What We Offer Generous Leave Benefits: Enjoy generous leave benefits of up to 40 days. Parental Leave: Experience one of the industrys best parental leave policies to spend time with your new addition. Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break Weve got you covered. Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury. Pet-Friendly Office*: Spend more time with your treasured friends, even when youre away from home. Bring your furry friends with you to the office and let your colleagues become their friends, too. *Noida office only Creche Facility for children*: Say goodbye to worries and hello to a convenient and reliable creche facility that puts your childs well-being first. *India offices

Team Leadership & Development: Build, mentor, and manage a team of data scientists, and machine learning engineers. Foster a culture of collaboration, innovation, and technical excellence. Roadmap Execution: Define and execute on the quarterly AI/ML roadmap, setting clear goals, priorities, and deliverables for the team. Work with the business leaders and customers to understand their pain-points and build large-scale solutions for them. Define technical architecture to productize Innovaccer s machine-learning algorithms and take them to market with partnerships with different organization. Work with our data platform and applications team to help them successfully integrate the data science capability or algorithms in their product/workflows. Project & Stakeholder Management: Work closely with cross-functional teams, including product managers, engineers, and business leaders, to align AI/ML initiatives with company objectives. What You Need Masters in Computer Science, Computer Engineering or other relevant fields (PhD Preferred) 8+ years of experience in Data Science (healthcare experience will be a plus) Strong experience with deep learning techniques to build NLP/Computer vision models as well as state of art GenAI pipelines - Has demonstrable experience deploying deep learning models in production at scale with interactive improvements- would require hands-on expertise with at least 1 deep learning frameworks like Pytorch or Tensorflow. Strong hands-on experience in building GenAI applications - building LLM based workflows along with optimization techniques - knowledge of implementing agentic workflows is a plus. Has keen interest in research and stays updated with key advancements in the area of AI and ML in the industry. Having patents/publications in any area of AI/ML is a great add on. Hands on experience with at least one ML platform among Databricks, Azure ML, Sagemaker s Strong written and spoken communication skills

About this role BlackRock is one of the world s preeminent asset management firms and a premier provider of global investment management, risk management and advisory services to institutional, intermediary, and individual investors around the world. BlackRock s mission is to create a better financial future for our clients. We have a responsibility to be the voice of the investor, and we represent each client fairly and equally. Constant communication with a diverse team of partners strengthens us and delivers better results for our clients. Continuous innovation helps us bring the best of BlackRock to our clients. BlackRock offers a range of solutions from rigorous fundamental and quantitative active management approaches aimed at maximizing outperformance to highly efficient indexing strategies designed to gain broad exposure to the world s capital markets. Our clients can access our investment solutions through a variety of product structures, including individual and institutional separate accounts, mutual funds and other pooled investment vehicles, and the industry-leading iShares ETFs. About Aladdin Financial Engineering (AFE): Join a diverse and collaborative team of over 400 modelers and technologists in Aladdin Financial Engineering (AFE) within BlackRock Solutions, the business responsible for the research and development of Aladdin s financial models. This group is also accountable for analytics production, enhancing the infrastructure platform, and delivering analytics content to portfolio and risk management professionals (both within BlackRock and across the Aladdin client community). The models developed and supported by AFE span a wide array of financial products covering equities, fixed income, commodities, derivatives, and private markets. AFE provides investment insights that range from an analysis of cash flows on a single bond, to the overall financial risk associated with an entire portfolio, balance sheet, or enterprise. Role Overview: We are looking to hire a quantitative modeler (Associate) to join our Portfolio Risk Modeling team. This team builds and maintains risk models and analytics, including linear factor models, Value-at-Risk (VaR) methodologies, volatility and covariance matrix estimation, and portfolio stress testing & scenario analytics. These models span a wide variety of asset classes including fixed income, equity, and private markets. The models utilize sophisticated econometric/statistical methods, and are used by traders, portfolio managers and risk managers at BlackRock and Aladdin clients for risk management, portfolio construction, regulatory reporting, compliance and performance attribution. This individual would have a strong background in quantitative research, have demonstrable project management skills as well as proven experience to work in a team environment as well as collaborating with senior modelers from other groups/regions. This person is expected to join as an individual contributor and deliver on all aspects of model governance for our portfolio risk model suite and provide model governance representation to internal stakeholders and Aladdin clients. Key Responsibilities: Contribute to governance for Aladdin portfolio risk models including (but not limited to) equities, fixed income, commodities, derivatives, etc. Building and maintaining model governance controls, including (but not limited to) model performance monitoring, model documentation, model remediations and supporting internal & external client model validations Communicate (verbally and in writing) with internal stakeholders and external clients on model performance regularly, investigate exceptional model performance, diagnose issues and conduct corrective remediations Backtesting, documenting, and guiding new models and methodologies through validation Partner with engineering teams to integrate portfolio risk models into state-of-art production systems Qualification 3-6 years of experience in quantitative field / statistical modeling. Experience with portfolio risk analytics and/or model governance is strongly preferred Advanced degree in a quantitative discipline - master s degree in finance / economics / statistics / financial engineering / math finance, etc. Knowledge of investments, portfolio management, econometrics, and empirical asset pricing A strong background in quantitative research Hands-on experience with statistical software (e.g., Python, R) and strong background in programming. Proficiency with Python is strongly preferred Experience with data handling (ETL, data joining with SQL, cleaning, processing, summarizing, descriptive analysis), and building and back-testing statistical and econometric models Prior work experience in financial modeling (e.g., risk models, analytics, private markets) or data science and model deployment to production environment is a plus Ability to work effectively with a team of highly motivated individuals Time and project management skills Proven track record of guiding junior talent Positive attitude and ability to work both independently and as a part of a global team in a fast-paced environment Excellent communication and presentation skills

Role: Senior Team Member Credit Risk Modelling Unit ECL Model Development and Implementation: Build and maintain statistical models to calculate Expected Credit Losses across different loan portfolios based on factors like borrower credit history, macroeconomic indicators, and industry trends. Implement the ECL model within the Bank's system to automatically generate provisioning requirements. Regularly review and update the ECL model to reflect changing market conditions and portfolio dynamics. Data Management and Analysis: Collect and cleanse loan data from various internal systems to ensure accuracy for ECL calculations. Perform data analysis to identify trends and patterns impacting credit risk. Develop data visualization tools to present insights on credit risk metrics to senior management. Regulatory Compliance: Ensure adherence to regulatory guidelines regarding ECL calculation and provisioning as per Ind AS 109. Prepare necessary reports and documentation to support regulatory audits. Collaboration and Communication: Work closely with the credit risk team, finance department, and IT team to ensure accurate ECL calculations and smooth implementation of the ECL model. Communicate ECL related insights and risks to senior management and stakeholders. Required Skills and Qualifications: Strong understanding of credit risk management and the ECL framework under Ind AS 109 Expertise in statistical modeling techniques, including regression analysis, decision trees, and time series analysis. Proficiency in data manipulation and analysis tools like SQL, SAS, or Python Financial modeling skills and understanding of financial statements. Excellent communication and presentation skills to convey complex financial concepts to non-technical audiences. Relevant experience in credit risk management within a banking or NBFC environment

Job Overview: We are looking for a skilled Python and Data Science Programmer to develop and implement data-driven solutions. The ideal candidate should have strong expertise in Python, machine learning, data analysis, and statistical modeling. Key Responsibilities: Data Analysis & Processing: Collect, clean, and preprocess large datasets for analysis. Machine Learning: Build, train, and optimize machine learning models for predictive analytics. Algorithm Development: Implement data science algorithms and statistical models for problem-solving. Automation & Scripting: Develop Python scripts and automation tools for data processing and reporting. Data Visualization: Create dashboards and visual reports using Matplotlib, Seaborn, Plotly, or Power BI/Tableau. Database Management: Work with SQL and NoSQL databases for data retrieval and storage. Collaboration: Work with cross-functional teams, including data engineers, business analysts, and software developers. Research & Innovation: Stay updated with the latest trends in AI, ML, and data science to improve existing models.

We are seeking an exceptional Data Scientist to join a team of experts in the field of machine learning, and work together to tackle challenging problems across diverse compliance domains. We leverage multi-modal and large-language-models (LLMs) to detect illegal and unsafe products across the Amazon catalog. We work on machine learning problems for multi-modal classification, intent detection, information retrieval, anomaly and fraud detection, and generative AI. This is an exciting and challenging position to deliver scientific innovations into production systems at Amazon-scale to make immediate, meaningful customer impacts while also pursuing ambitious, long-term research. You will work in a highly collaborative environment where you can analyze and process large amounts of image, text and tabular data. You will work on hard science problems that have not been solved before, conduct rapid prototyping to validate your hypothesis, and deploy your algorithmic ideas at scale. There will be something new to learn every day as we work in an environment with rapidly evolving regulations and adversarial actors looking to outwit your best ideas. Explore and evaluate state-of-the-art algorithms and approaches in multi-modal classification, large language models (LLMs), intent detection, information retrieval, anomaly and fraud detection, and generative AI Translate product and CX requirements into measurable science problems and metrics. Collaborate with product and tech partners and customers to validate hypothesis, drive adoption, and increase business impact A day in the life Understanding customer problems, project timelines, and team/project mechanisms Proposing science formulations and brainstorming ideas with team to solve business problems Writing code, and running experiments with re-usable science libraries Reviewing labels and audit results with investigators and operations associates Sharing science results with science, product and tech partners and customers Contributing to team retrospectives for continuous improvements Participating in science research collaborations and attending study groups with scientists across Amazon About the team We are a team of scientists building AI/ML solutions to make Amazon Earth s most trusted shopping destination for safe and compliant products. 2+ years of data scientist experience 2+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 2+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience Experience applying theoretical models in an applied environment Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. Experience in Python, Perl, or another scripting language Experience in a ML or data scientist role with a large technology company

Job Title: Sales Excellence COE Data Engineering Specialist Locations: Mumbai / Bangalore / Gurgaon / Hyderabad Experience: 1012 Years Level: Team Lead / Specialist (Level 9) Job Role Lead data engineering efforts to support sales insights through scalable pipelines, statistical modeling, and ML workflows across cloud platforms. Required Skills Proficiency in Python Advanced SQL (Views, Functions, Procedures) Experience with Google Cloud Platform (GCP) ML workflow setup Strong in Data Modeling and ETL Development Excel skills including VBA, Power Pivot, Cube Functions Solid understanding of Sales Processes

Job Title: Analytics and Modeling AssociateLocation: Bengaluru Experience: 02 Years Education: 15 Years Full-TimeJob SummaryWe are seeking a motivated Analytics and Modeling Associate to support data-driven decision-making through insightful analysis, statistical modeling, and reporting Ideal for early-career professionals with a passion for data and problem-solving Key ResponsibilitiesCollect, clean, and analyze data to support business goalsBuild and maintain statistical models and dashboards Collaborate with stakeholders to define analytical needsPresent findings and provide actionable insightsSupport continuous improvement through data innovationMust-Have Skills Strong knowledge of Excel, SQL, and Python/R Understanding of statistical modeling and data visualization Familiarity with tools like Power BI / Tableau Excellent analytical and communication skills

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

Overview The Senior Data Science Engineer will leverage advanced data science techniques to solve complex business problems, guide decision-making processes, and mentor junior team members. This role requires a combination of technical expertise in data analysis, machine learning, and project management skills. Responsibilities Data Analysis and Modeling Analyze large-scale telecom datasets to extract actionable insights and build predictive models for network optimization and customer retention. Conduct statistical analyses to validate models and ensure their effectiveness. Machine Learning Development Design and implement machine learning algorithms for fraud detection, churn prediction, and network failure analysis. Telecom-Specific Analytics Apply domain knowledge to improve customer experience by analyzing usage patterns, optimizing services, and predicting customer lifetime value. ETL Processes Develop robust pipelines for extracting, transforming, and loading telecom data from diverse sources. Collaboration Work closely with data scientists, software engineers, and telecom experts to deploy solutions that enhance operational efficiency. Data Governance : Ensure data integrity, privacy, security and compliance with industry standards Advanced degree in Data Science, Statistics, Computer Science, or a related field. Extensive experience in data science roles with a strong focus on machine learning and statistical modeling. Proficiency in programming languages such as Python or R and strong SQL skills. Familiarity with big data technologies (e.g., Hadoop, Spark) is advantageous. Expertise in cloud platforms such as AWS or Azure.

Position Summary This role will be responsible for in-patient journey analysis and working with patient-level data to develop a robust solution for the client's teams. An expert in Patient Analytics who can guide and lead the team supporting pharma clients Job Responsibilities Effectively manage the client/ onshore stakeholders, as per the business needs, to ensure successful business delivery. Work closely with the project manager to define the algorithm, break down the problem into execution steps, and run the analysis Ensure high-quality analytics solutions/reports to the client Delivery role will include project scoping, solution design, execution, and communication of the analysis in the client-ready formats Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation Effectively communicate with onshore/ client (as per business needs) Education BE/B.Tech in IT or Computer Master Diploma - Business Administration in Business Administration Work Experience Overall, 3-5years of rich experience in the Pharmaceutical / Life Sciences Domain. We are looking for experts in the space of commercial pharmaceutical analytics- HCP analytics, payer analytics, and patient analytics. Worked on advanced analytics in the pharma domain throughout the patient journey, like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, adherence, and patient identification, etc, using various data sources Experience using various patient-level data like APLD, LAAD, EMR, patient registries, Prescription data, formulary data, etc Strong in logical reasoning, structuring of analysis, asking the right questions, and logical approach to analyze data, problems, and situations. Experience in pharmaceutical sales and marketing analytics would be preferred Relevant experience in Statistical/ modeling knowledge, ability to transform data to insights, good data visualization/ reporting skills Good to have work experience in building statistical modeling and/or AI/ML models using Python, R-Studio, PySpark, Keras, and TensorFlow. Technical knowledge- R/ Python/ SQL. Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python R SQL EXCEL Pharma Commercial Know How Others Patient Data Analytics

Position Summary To be a driven business analyst who can work on complex Analytical problems and help the customer in better business decision making especially in the area of Pharma (domain). Job Responsibilities Effectively manage the client/ onshore stakeholders, as per the business needs, to ensure successful business delivery. Work closely with the project manager to define the algorithm, break down the problem into execution steps, and run the analysis Ensure high-quality analytics solutions/reports to the client Delivery role will include project scoping, solution design, execution, and communication of the analysis in the client-ready formats Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation Effectively communicate with onshore/ client (as per business needs) Education Bachelor of Engineering in Statistics Work Experience Overall, 4-6 years of rich experience in the Pharmaceutical / Life Sciences Domain. We are looking for experts in the space of commercial pharmaceutical analytics- HCP analytics, payer analytics, and patient analytics. Worked on advanced analytics in the pharma domain throughout the patient journey like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, adherence, and patient identification, etc using various data sources Experience using various patient-level data like APLD,LAAD, EMR, patient registries, Prescription data, formulary data, etc Can work across a variety of projects from advanced analytics, ad-hoc analysis, and reporting Effectively communicate with onshore/ client (as per business needs) Relevant experience in Statistical/ modeling knowledge, ability to transform data to insights, good data visualization/ reporting skills Good to have work experience in building statistical modeling and/or AI/ML models using Python, R-Studio, PySpark, Keras, and TensorFlow. Technical knowledge- R/ Python/ SQL. Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python R SQL EXCEL MMx Forecasting Machine Learning Pharma Commercial Know How HEOR EPI and Economic Analysis HEOR Simulation Analysis Patient Data Analytics Know How Dataiku KNIME Others

Hi, We are hiring for the ITES Company for the Optimal Data Analyst Role. Overview The Optimal Data Analyst is responsible for leveraging data to generate actionable insights that support strategic decision-making, particularly in supplier negotiations and cost forecasting. The role involves working with large data sets, using statistical methods, programming tools (e.g., SQL, R, Python), and business intelligence platforms like Tableau to identify patterns, trends, and financial opportunities. This position requires strong analytical thinking, problem-solving abilities, and collaboration across technical, operational, and supply chain teams. The analyst plays a key role in translating complex data into meaningful business insights, aligning analytical efforts with high-level business objectives, and driving value through data-informed negotiation support. Key Skills: a) Bachelor's degree in discipline such as Supply Chain, Economic, Manufacturing, Technology, or Data Analytics b) Minimum 3 years of experience in data analysis with understanding of statistical methods and strong analytical skills To Apply, WhatsApp 'Hi' @ 9151555419 Follow the Steps Below: >Click on Start option to Apply and fill the details >Select the location as Other ( to get multiple location option ) a)To Apply for above Job Role ( Bangalore) Type : Job Code # 20 b)To Apply for above Job Role ( Mumbai) Type : Job Code # 21 Job Description Bachelor's degree in discipline such as Supply Chain, Economic, Manufacturing, Technology, or Data Analytics to bring diversity and different perspectives Minimum 3 years of experience in data analysis with understanding of statistical methods and strong analytical skills Experience with database management, programming, statistical modelling and/or business intelligence (SQL, R, Python, JMP, Tableau, etc.) Experienced with and proficient in Microsoft Office Suite Lateral and logical thinking. The ability to think creatively and outside the box to solve unique and challenging problems Motivated self-starter Strong problem-solving tendencies Willing and able to push boundaries Goal-oriented, with a focus on utilizing data for insight Able to multi-task, prioritize and project manage independently in an environment with competing priorities Experience working in a technical, operational or manufacturing environment with the ability to translate that knowledge into financial opportunities Diverse functional experience, with a desire to use data in negotiations Excellent communication skills and a proven history of excelling in a collaborative environment as a key team player Working closely with technical teams, and other organizations to understand the product and data Finding and interpreting large data sets to help predict costs Learning and understanding Boeing's data resources and knowing when, how, and which to use and which not to use. Identifying, analyzing, and solve systematic problems, while maintaining focus on the bigger picture Working together with the team to ensure data analysis and developed algorithms can be appropriately applied for negotiation support Ensuring data collected, analyzed and presented result in actionable insights for negotiation support Engaging and participating in negotiation support, to bolster the use of data analytics within supplier negotiations Understanding high-level business objectives and continually align those objectives to meet needs of the business.

hands on SQL/ SAS programming experience & handling complex/large data Must have experience inTableau/Power BI Experience in campaign performance measurement, customer targeting framework Proven ability to design and lead strategic projects Required Candidate profile Must - SAS , SQL, Python Good in Statistical model , Predictive model, Logistic regression, Linear regression BFSI Mandatory - Credit risk, Credit Card, Retail Banking

Description We are seeking a highly skilled Data Scientist with 7-11 years of experience to join our team in India. The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling, and will play a key role in driving data-driven decision-making across the organization. Responsibilities Analyze large datasets to derive actionable insights. Develop predictive models and machine learning algorithms. Collaborate with cross-functional teams to understand business needs. Communicate findings and recommendations to stakeholders. Create data visualizations to effectively present data results. Continuously improve data collection and analysis processes. Skills and Qualifications Proficiency in programming languages such as Python or R. Strong understanding of statistical analysis and machine learning techniques. Experience with data manipulation and visualization tools like SQL, Tableau, or Power BI. Familiarity with big data technologies such as Hadoop or Spark. Ability to work with various data sources and APIs. Excellent problem-solving skills and attention to detail. Strong communication skills to convey complex data insights in a clear manner.

Description We are seeking an experienced SAS Developer with 6-11 years of expertise in Base SAS, Macros, SQL, and PROC SQL to join our dynamic team. The ideal candidate will be responsible for developing and maintaining robust SAS programs to support data analysis and reporting needs. You will play a key role in transforming data into actionable insights and collaborating with various teams to enhance our data-driven decision-making processes. Responsibilities Develop and maintain SAS programs using Base SAS, Macros, and SQL for data analysis and reporting. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. Perform data extraction, transformation, and loading (ETL) processes using SAS tools. Create and optimize complex queries using PROC SQL to manipulate and analyze large datasets. Ensure data integrity and accuracy by performing thorough testing and validation of SAS programs. Generate insightful reports and dashboards to support business decision-making. Document technical processes, workflows, and procedures for future reference and knowledge sharing. Troubleshoot and resolve any issues related to SAS programming and data processing. Skills and Qualifications Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. 6-11 years of hands-on experience in SAS programming, specifically with Base SAS, Macros, and SQL. Strong proficiency in PROC SQL for data manipulation and analysis. Experience in data management and ETL processes using SAS tools. Familiarity with SAS Enterprise Guide and SAS Studio is a plus. Knowledge of statistical analysis techniques and methodologies. Ability to work with large datasets and perform data cleaning and validation. Excellent problem-solving skills and attention to detail. Strong communication skills to effectively collaborate with team members and stakeholders.

Description Infogain is seeking a skilled SAS Developer with 6-10 years of experience to join our dynamic team. This is a hybrid work position based in India. The ideal candidate will have a strong background in SAS programming, data analysis, and a passion for delivering high-quality data solutions to our clients. You will play a critical role in analyzing complex data sets, generating insights, and assisting in decision-making processes. Responsibilities Develop, test, and implement SAS programs for data analysis and reporting. Collaborate with data analysts and business users to gather requirements and translate them into technical specifications. Optimize and enhance existing SAS programs to improve performance and efficiency. Design and maintain data models and databases to support data analysis. Ensure data integrity and accuracy throughout the data processing lifecycle. Prepare and present reports and visualizations to stakeholders. Skills and Qualifications Proficient in SAS programming and analytics tools. Strong knowledge of SQL and experience with relational databases. Experience with data visualization tools like Tableau or Power BI is a plus. Familiarity with ETL processes and tools. Understanding of statistical analysis and data mining techniques. Excellent problem-solving and analytical skills. Ability to work in a collaborative team environment and communicate effectively with non-technical stakeholders.

Should have good hands-on experience in Base SAS, SAS/Macros and other SAS tools. Strong Skill in writing and debugging SAS SQL/Proc SQL code. Experience in writing and optimizing SAS programs for data extraction, transformation, and analysis Experience in handling large datasets and performing data cleansing. Knowledge in PySpark is a plus

Description We are looking for a skilled Analyst to join our team in India. The ideal candidate will have 2-8 years of experience in data analysis and will be responsible for analyzing complex data sets, developing reports, and providing insights to support business decisions. Responsibilities Analyze and interpret complex data sets to provide actionable insights. Develop and maintain dashboards and reports for management. Assist in the preparation of presentations for stakeholders. Collaborate with cross-functional teams to drive data-driven decision making. Identify trends and patterns in data to support strategic initiatives. Skills and Qualifications Bachelor's degree in Finance, Economics, Statistics, or a related field. Proficiency in data analysis tools such as SQL, Python, or R. Experience with data visualization tools such as Tableau or Power BI. Strong analytical skills with attention to detail. Excellent communication skills, both verbal and written. Ability to work independently and as part of a team. Familiarity with statistical analysis and modeling techniques. SKILLSET - LMS - Cornerstone is good to have Candidate must have Learning experience, specifically LMS (Learning Management System) experience is must. If LMS experience is on CSOD that would be more beneficial. Candidate must need to move to Hyderabad and must adapt to hybrid working model. Candidate must have good Communication skills. Added advantage would be there if candidate has worked in Pharma/Biopharma industry

Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

Job Summary We are seeking a highly skilled Data Scientist with Business analysis with good hands on in Python , SQL , EDA Data Visualization with 3 to 12+ years of experience Key Responsibilities: Perform exploratory data analysis (EDA) to uncover trends, patterns, and insights. Develop and maintain dashboards and reports to visualize key business metrics. Collaborate with cross-functional teams to gather requirements and deliver data-driven solutions. Build and evaluate statistical and machine learning models to support predictive analytics. Translate business problems into analytical frameworks and communicate findings effectively. Must-Have Skills: Proficiency in Python for data manipulation and analysis. Strong knowledge of SQL for querying and managing data. Experience in data analysis and business analytics. Familiarity with machine learning and statistical modelling. Ability to interpret and communicate complex data insights to non-technical stakeholders. Good-to-Have Skills: Experience with data visualization tools. Exposure to Generative AI frameworks and applications. Understanding of cloud platforms (AWS, GCP, or Azure) is a plus.

Role Purpose The purpose of the role is to create exceptional architectural solution design and thought leadership and enable delivery teams to provide exceptional client engagement and satisfaction. Do 1.Develop architectural solutions for the new deals/ major change requests in existing deals Creates an enterprise-wide architecture that ensures systems are scalable, reliable, and manageable. Provide solutioning of RFPs received from clients and ensure overall design assurance Develop a direction to manage the portfolio of to-be-solutions including systems, shared infrastructure services, applications in order to better match business outcome objectives Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution design framework/ architecture Provide technical leadership to the design, development and implementation of custom solutions through thoughtful use of modern technology Define and understand current state solutions and identify improvements, options & tradeoffs to define target state solutions Clearly articulate, document and sell architectural targets, recommendations and reusable patterns and accordingly propose investment roadmaps Evaluate and recommend solutions to integrate with overall technology ecosystem Works closely with various IT groups to transition tasks, ensure performance and manage issues through to resolution Perform detailed documentation (App view, multiple sections & views) of the architectural design and solution mentioning all the artefacts in detail Validate the solution/ prototype from technology, cost structure and customer differentiation point of view Identify problem areas and perform root cause analysis of architectural design and solutions and provide relevant solutions to the problem Collaborating with sales, program/project, consulting teams to reconcile solutions to architecture Tracks industry and application trends and relates these to planning current and future IT needs Provides technical and strategic input during the project planning phase in the form of technical architectural designs and recommendation Collaborates with all relevant parties in order to review the objectives and constraints of solutions and determine conformance with the Enterprise Architecture Identifies implementation risks and potential impacts 2.Enable Delivery Teams by providing optimal delivery solutions/ frameworks Build and maintain relationships with executives, technical leaders, product owners, peer architects and other stakeholders to become a trusted advisor Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results Manages multiple projects and accurately reports the status of all major assignments while adhering to all project management standards Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams Recommend tools for reuse, automation for improved productivity and reduced cycle times Leads the development and maintenance of enterprise framework and related artefacts Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams Ensures architecture principles and standards are consistently applied to all the projects Ensure optimal Client Engagement Support pre-sales team while presenting the entire solution design and its principles to the client Negotiate, manage and coordinate with the client teams to ensure all requirements are met and create an impact of solution proposed Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor 3.Competency Building and Branding Ensure completion of necessary trainings and certifications Develop Proof of Concepts (POCs),case studies, demos etc. for new growth areas based on market and customer research Develop and present a point of view of Wipro on solution design and architect by writing white papers, blogs etc. Attain market referencability and recognition through highest analyst rankings, client testimonials and partner credits Be the voice of Wipros Thought Leadership by speaking in forums (internal and external) Mentor developers, designers and Junior architects in the project for their further career development and enhancement Contribute to the architecture practice by conducting selection interviews etc 4.Team Management Resourcing Anticipating new talent requirements as per the market/ industry trends or client requirements Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: AI Cognitive.

Location: Any / Remote / Work From Home Employment Type: Full-time Job Summary: We are seeking skilled and innovative AI Engineers with a minimum 2-4 years of experience in developing and deploying AI solutions . The ideal candidate should have practical knowledge in AWS , Amazon Bedrock , LLMs , Claude AI , and Custom AI Development . You will contribute to the design and implementation of cutting-edge Generative AI (GenAI) and Mainstream AI applications across diverse business domains. This is an excellent opportunity to work with emerging technologies in an agile, fast-paced environment with full ownership of AI engineering pipelines. Key Responsibilities: Develop custom machine learning models and fine-tune foundation models for enterprise use Design and implement LLM-based and Generative AI solutions tailored to client use cases Work with OpenAI, Anthropic, HuggingFace models and their APIs to build secure, scalable AI systems Perform prompt engineering and experiment with parameter tuning and context optimization Build APIs and backend services to integrate AI models into product workflows Collaborate with product, data, and DevOps teams to deliver end-to-end AI-powered solutions Ensure best practices for AI model governance, security, performance, and ethical use Stay current with advancements in LLMs, vector databases (e.g., Pinecone, FAISS), and GenAI tooling Document architecture, experiments, and processes clearly and effectively Participate in peer reviews, client meetings, and cross-functional planning discussions Required Qualifications: Minimum 2-4 years of professional experience in AI/ML , with specific focus on LLMs and GenAI Strong experience working on AWS Bedrock , Lambda, and related services Proficiency in Python , including experience with libraries like HuggingFace, LangChain, etc. Familiarity with Anthropic , OpenAI , or other foundation models in production settings Experience with custom AI model development and model fine-tuning Good understanding of cloud-native AI deployments and API integrations Ability to apply prompt engineering techniques to optimize LLM responses Exposure to vector databases and RAG pipelines Strong problem-solving, communication, and team collaboration skills Preferred Qualifications (STRONG PLUS): Hands-on experience with LangChain, RAG pipelines, or agent frameworks Familiarity with AWS Sagemaker, DynamoDB, Lambda, or other AI tooling in AWS Knowledge of Docker or Kubernetes for containerizing AI workloads Understanding of MLOps principles and tools (MLflow, SageMaker Pipelines, etc.) Contributions to open-source AI projects or published GenAI applications AI/ML certifications Familiarity with enterprise use cases in biotech, healthcare, or manufacturing What We Offer: Remote work option Competitive salary package Exciting projects in the field of LLMs, AI, and cloud-native development Continuous learning opportunities in Generative AI and cloud AI tools A collaborative and fast-paced environment with a forward-thinking team Access to state-of-the-art tools and flexible project ownership How to Apply: Please submit your resume and cover letter outlining your relevant experience and why you'd be a great fit for Arocom. We differentiate candidates based on professionalism. We admire the new age methods like a video resume. If you have one please share the URL along with your resume. Your privacy is important to us, so we will not be contacting candidates by phone. If your application is selected, we will email you a link to schedule your interview at your convenient time. Please check your emails regularly, including your SPAM folder. Arocom encourages work from home and has a Bring Your Own Device (BYOD) policy. Employees / Consultants working from home are expected to use their personal laptops/desktops for work-related tasks.