1151 Statistical Modeling Jobs - Page 32

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.

Job Title: Junior Analyst Location: Mumbai Job Description We are seeking a detail-oriented and motivated Junior Analyst to join our team. The ideal candidate will be responsible for analyzing data, generating insights. This position requires collaboration with cross-functional team members, strong communication skills, and the ability to present findings effectively. Primary Responsibilities Conducting Meetings: Facilitate meetings and presentations to communicate findings and share insights effectively with team members and management. Data Reporting: Use internal data to create dashboards in Tableau, utilizing SQL. Insight Communication: Collaborate closely with cross-functional team members to ensure alignment on insights, plans, and strategies. Quality Assurance: Ensure data reports meet stringent quality standards to support reliable and accurate business decisions. Skills & Requirements Technical Skills: - Proficiency in Excel (advanced level) - Experience with Tableau for data visualization - Strong command of SQL for data extraction Analytical Skills: - Knowledge of market research methodologies - Basic understanding of statistics and analysis - Experience in data mining and visualization Soft Skills: - Effective communication and interpersonal skills - Strong problem-solving abilities Qualifications Bachelors degree in Statistics or a related field (or equivalent work experience) Expertise in Tableau, Excel, and SQL Previous Experience in both quantitative and qualitative research

Overview This role will help to enable accelerated growth for PepsiCo by building pipelines, aligning data, building Visualizations, and performing predictive and prescriptive analytics approaches to drive actionable insights for the North American market. Key responsibilities will be to build and manage data to be used for analytics, report creation, data Visualization projects, and designing automation processes Responsibilities Ownership of ongoing maintenance and creation of new dashboards Rigorous Excel experience, Multiple Data Systems - For Analytics like Bobj, R SI, Retail Lin,k etc. Good with Data Analytics & Analysis, CPG /Retail Experience must, Experience with Visualisation/Dashboard build like PBI, Tableau, etc, Worked with Senior Leaders in the Org, Good handle on KPI/Metrics reporting, Good Knowledge of Predictive Analytics, Analytical Tools - R/Python/SQL. Work across multiple functions to aid in collecting insights for action-oriented cause of change analysis Build analysis in Excel, PBI, and Python with accompanying documentation Ensure delivery of accurate and timely data by the agreed service level agreement Focus on speed of execution and quality of service delivery rather than the achievement of SLAs Recognize opportunities and take action to improve the delivery of work Implement continued improvements and simplifications of processes, standardization of reporting, and optimal use of technology Create an inclusive and collaborative environment Qualifications 5+ years of experience in Sales Reporting & Analytics, Minimum 2 years in Data Analytics, preferably CPG Analytics. Preferred experience from a strong top-tier consulting or prior Fast Moving Consumer Goods (FMCG) company Good analytical skills excellent competency in MS Excel is a must, as is experience of managing complex, incomplete & inconsistent datasets and defining strategic analytics (market sizing/growth forecasts, etc). e.g, Tools like Knime, Python ,R Deep grounding in analytical logic and ability to translate complex data into powerful insight Strong experience in data transformation, data visualization,and exploratory analysis Strong Change Management Skills: Follow Up, Follow Through, Accountability, Sense of Urgency, and superior stakeholder management Ability to provide new ways of approaching situations and developing new, efficient solutions Independent & motivated individual; ability to receive direction and convert into an action plan with coaching and feedback Best-in-class time management skills, ability to multitask, set priorities, and plan

Req ID: 312501 We are currently seeking a Mid Data Science & AIML, GenAI Lead/Engineer to join our team in Bangalore, Karntaka (IN-KA), India (IN). Job DutiesJob TitleData Science & AIML, GenAI Lead/Engineer Key Responsibilities: "¢ Develop and implement traditional machine learning algorithms. "¢ Deploy at least one model in a production environment. "¢ Write and maintain Python code for data science and machine learning projects. Minimum Skills RequiredPreferred Qualifications: "¢ Knowledge of Deep Learning (DL) techniques. "¢ Experience working with Generative AI (GenAI) and Large Language Models (LLM). "¢ Exposure to Langchain. "‹"‹"‹"‹"‹"‹"‹

Job Titleo9 Demand Planning Implementation Senior Consultant LocationBangalore DepartmentSupply Chain Consulting About the Role: We are seeking a highly motivated and skilled o9 Solutions Implementation Consultant to join our dynamic team. In this role, you will play a critical part in delivering successful end-to-end implementations of o9 Solutions, focusing specifically on the Demand Planning module. You will work closely with cross-functional teams including client stakeholders, business analysts, and technical teams to ensure seamless deployment of the o9 platform. Key Responsibilities: "¢ Lead the functional implementation of o9's Demand Planning solution for global and regional supply chain firms. "¢ Work closely with clients to gather business requirements and translate them into effective o9 platform configurations. "¢ Drive data integration by collaborating with client"™s IT teams and o9 technical consultants (data ingestion, transformation, modeling). "¢ Develop and execute test scenarios to validate functional and system performance. "¢ Support user training and change management initiatives during deployment. "¢ Act as a trusted advisor, guiding clients through system adoption and continuous improvement post-implementation. "¢ Coordinate with o9 technical teams and client-side stakeholders to troubleshoot and resolve issues. Required Qualifications: "¢ 4"“6 years of relevant experience in Supply Chain Planning or IT consulting, with at least 1"“2 full-cycle implementations of the o9 platform, specifically in Demand Planning. "¢ Strong understanding of demand forecasting concepts, statistical modeling, and S&OP processes. "¢ Hands-on experience in configuring o9 Demand Planning modules including DP foundational blocks, setting up master data and associated hierarchies, IBPL, creating active rules and procedures, setting up UIs and user access roles. "¢ Knowledge of SQL, Python, or integration tools (e.g. Informatica, SSIS) is a strong advantage. "¢ Strong analytical, problem-solving, and communication skills. "¢ Bachelor"™s or Master"™s degree in Engineering, Supply Chain, Operations, or related disciplines. Preferred Qualifications: "¢ Experience with other advanced planning systems (e.g., Kinaxis, Blue Yonder, SAP IBP) is a plus. "¢ Familiarity with Agile project management methodologies. "¢ o9 certification(s) on Technical Level 1 & 2, DP Ref Model.

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions. Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options 3. Team Management a. Talent Management i. Support on boarding and training to enhance capability & effectiveness Deliver No. Performance Parameter Measure 1. Demand generation # PoC supported 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management # Skills acquired Mandatory Skills: Data Analysis.

Your day at NTT DATA The Senior Data Scientist is an advanced subject matter expert, tasked with taking accountability in the adoption of data science and analytics within the organization. The primary responsibility of this role is to participate in the creation and delivery of data-driven solutions that add business value using statistical models, machine learning algorithms, data mining, and visualization techniques. Key responsibilities: Designs, develops, and programs methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights and solutions for client services and product enhancement. Designs and enhances data collection procedures to include information that is relevant for building analytic systems. Responsible for ensuring that data used for analysis is processed, cleaned and, integrally verified and build algorithms necessary to find meaningful answers. Designs and codes software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources Provides meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. Directs scalable and highly available applications leveraging the latest tools and technologies. Accountable for creatively visualizing and effectively communicating results of data analysis, insights, and ideas in a variety of formats to key decision-makers within the business. Creates SQL queries for the analysis of data and visualizes the output of the models. Responsible for ensuring that industry standards best practices are applied to development activities. To thrive in this role, you need to have: Advanced understanding of data modelling, statistical methods and machine learning techniques. Strong ability to thrive in a dynamic, fast-paced environment. Strong quantitative and qualitative analysis skills. Desire to acquire more knowledge to keep up to speed with the ever-evolving field of data science. Curiosity to sift through data to find answers and more insights. Advanced understanding of the information technology industry within a matrixed organization and the typical business problems such organizations face. Strong ability to translate technical findings clearly and fluently to non-technical team business stakeholders to enable informed decision-making. Strong ability to create a storyline around the data to make it easy to interpret and understand. Self-driven and able to work independently yet acts as a team player. Academic qualifications and certifications: Bachelors degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science or a related field. Relevant programming certification preferred. Agile certification preferred. Required experience: Advanced demonstrated experience in a data science position in a corporate environment and/or related industry. Advanced demonstrated experience in statistical modelling and data modelling, machine learning, data mining, unstructured data analytics, natural language processing. Advanced demonstrated experience in programming languages (R, Python, etc.). Advanced demonstrated experience working with and creating data architectures. Advanced demonstrated experience with extracting, cleaning, and transforming data and working with data owners to understand the data. Advanced demonstrated experience visualizing and/or presenting data for stakeholder use and reuse across the business.

Experience working closely with other data scientists, data engineers' software engineers, data managers and business partners. 7+ years in designing, planning, prototyping, productionizing, maintaining knowledge in Python, Go, Java, SQL knowledge

Purpose of the Role: Support in implementing and monitoring of an effective statutory compliance program for Teleperformances India business; Collaborate with India Region leadership and in conjunction with the Functional Team to foster a compliant culture; and Support in embedding an effective and strong Statutory compliance program within Teleperformance's ways of working and decision making. Role and Responsibilities: As Assistant Manager - Legal, you will play a crucial role in providing support to various functions within the organization for statutory compliance requirements. Your primary responsibilities will include: Implements, manages and prioritizes statutory compliance program activities and initiatives for the India region; Effectively partners with senior management in collaboration with the functional teams to foster a compliant culture through appropriate communication and demonstration of statutory compliance standards Conducts statutory compliance assessment - works with internal functions to help identify, and assess statutory compliance risks, develop, report and monitor mitigation actions Conduct statutory compliance training for increased understanding and improved decision making; Collaborate with the Functional team to provide regular statutory compliance related communication; Manage statutory Compliance Management Solution incl. periodic updates to the solution; Address statutory compliance related queries; Review statutory compliance status, conduct real time assessment of the compliance status, set up corrective actions, presentation to the senior management highlighting compliance gaps and mitigation plans; and Engages with external/ third party compliance solution providers. Key Attributes: To succeed in this role, you should have: A proactive approach to identifying potential statutory compliance issues and communicating them effectively across the organization. Analytical and problem-solving skills, with the ability to provide clear solutions. In- house experience in statutory compliance management with relevant knowledge of various laws and regulations affecting IT/ITES Industry. Excellent interpersonal skills to collaborate with multiple departments and stakeholders. Strong communication skills, both written and verbal, to convey complex statutory compliance concepts clearly. Manage multiple priorities and meet timelines. Experience and Requirements: 4 to 6 years of post-qualification experience in a legal counsel role. Prior experience working as part of in-house statutory compliance function with a multinational company, preferably in the services sector or IT/ITES Industry. Familiarity with statutory compliance and regulatory matters in India Prior experience in handling compliances matters and queries esp. pertaining to employment laws, employee health and safety and immigration. Educational Qualification: Bachelor of Laws (LL.B.) from a reputable law school or university. Note: This job description provides a general overview of the role's responsibilities and requirements. It may not cover all duties, and additional tasks may be assigned as needed.

Your role and responsibilities Research Engineer position at IBM India Research Lab is a challenging, dynamic and highly innovative role. Some of our current areas of work where we are actively looking for top talent are: Optimized runtime stacks for foundation model workloads including fine-tuning, inference serving and large-scale data engineering, with a focus on multi-stage tuning including reinforcement learning, inference-time compute, and data preparation needs for complex AI systems. Optimizing models to run on multiple accelerators including IBM's AIU accelerator leveraging compiler optimizations, specialized kernels, libraries and tools. Developing use cases that effectively leverage the infrastructure and models to deliver value Pre-training language and multi-modal foundation models working with large scale distributed training procedures, model alignment, creating specialized pipelines for various tasks including effective LLM-generated data pipelines, creating frameworks for collecting human data and deploying models in user-centric platforms. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise You should have one or more of the following: A master's degree in computer science, AI or related fields from a top institution 0-8 years of experience working with modern ML techniques including but not limited to model architectures, data processing, fine-tuning techniques, reinforcement learning, distributed training, inference optimizations Experience with big data platforms like Ray and Spark Experience working with Pytorch FSDP and Hugging Face libraries Programming experience in one of the following: Python, web development technologies Growth mindset and a pragmatic attitude P referred technical and professional experience Peer-reviewed research at top machine learning or systems conferences Experience working with pytorch. compile, CUDA, triton kernels, GPU scheduling, memory management Experience working with open-source communities

About The Role 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. ? Mandatory Skills Data Science, ML, DL, NLP or Computer Vision, Python, Tensorflow, Pytorch, Django, PostgreSQL Preferred Skills Gen AI, LLM, RAG, Lanchain, Vector DB, Azure Cloud, MLOps, Banking exposure ? 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 Wipro’s 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 ? Mandatory Strong understanding of Data Science, machine learning and deep learning principles and algorithms. Proficiency in programming languages such as Python, TensorFlow, and PyTorch. Ability to work with large datasets and knowledge of data preprocessing techniques. Strong Backend Python developer Experience in applying machine learning techniques, Natural Language Processing or Computer Vision using TensorFlow, Pytorch Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies Expert in applying ML techniques such asclassification, clustering, deep learning, optimization methods, supervised and unsupervised techniques Optimize model performance and scalability for real-time inference and deployment. Experiment with different hyperparameters and model configurations to improve AI model quality. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines. ? 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: Generative AI. Experience8-10 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Wipro Limited (NYSEWIT, BSE507685, NSEWIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. About The Role Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions. ? Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options 3. Team Management a. Talent Management i. Support on boarding and training to enhance capability & effectiveness ? Deliver No. Performance Parameter Measure 1. Demand generation # PoC supported 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management # Skills acquired ? ? Mandatory Skills: Data Analysis. Experience3-5 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.