554 Predictive Modeling Jobs - Page 20

Job Title: Data Analyst Experience: 5 8 Years Location: Bangalore (BLR) Notice Period: Immediate to 15 Days Job Summary: We are looking for a seasoned Data Analyst with 5–8 years of professional experience to join our analytics team in Bangalore. The ideal candidate will have strong technical expertise in SQL, Python, data visualization tools, and statistical analysis. You will play a crucial role in uncovering insights that drive strategic business decisions. Key Responsibilities: Analyze complex datasets to extract actionable insights aligned with business objectives. Build, optimize, and maintain dashboards and reports using BI tools. Write complex SQL queries for data extraction, transformation, and reporting. Apply statistical techniques to identify trends, patterns, and anomalies. Collaborate with product managers, engineers, and other stakeholders to define metrics and KPIs. Automate data workflows and streamline reporting processes. Present findings and recommendations to senior leadership in a clear and concise manner. Mandatory Technical Skills: SkillDescription SQL Advanced query writing, joins, aggregations, window functions Python Data manipulation with Pandas, NumPy; basic scripting; data visualization Data Visualization Hands-on with Power BI , Tableau , or LookerExcel Advanced functions (VLOOKUP, pivot tables, macros) Statistics Hypothesis testing, regression, forecasting ETL/Data Pipelines Understanding of data ingestion and transformation processes Cloud (Preferred) Basic knowledge of AWS/GCP/Azure data services Preferred/Bonus Skills: R for statistical computing Experience with big data tools (Spark, Hive) Exposure to A/B testing and predictive modeling Familiarity with data warehousing concepts and tools like Snowflake or Redshift Experience working with version control (Git) and Agile methodologies

Responsibilities : 1. Strategic Leadership :a. Define and drive the overall data science strategy and roadmap for the organization, aligning it with business objectives and technical capabilities.b. Oversee the design, development, and implementation of data science solutions.c. Foster a culture of innovation and continuous improvement within the data science team. 2. Data Strategy :a. Develop and deploy advanced data science models and algorithms, including LLMs, to solve complex business problems. Identify, acquire, and curate high-quality datasets relevant ML tasks.b. Design and implement data preprocessing, cleaning, and augmentation techniques.c. Leverage LLMs to extract deeper insights from data, including unstructured text and natural language data. 3. Data-Driven ML Development :a. Collaborate with LLM experts to integrate LLMs into data science pipelines and applications. b. Optimize LLM performance for specific tasks and domains.c. Apply advanced data mining and machine learning techniques to extract valuable insights.d. Evaluate ML performance using rigorous data-driven metrics. 4. ML Data Visualization and Analysis :a. Develop data visualizations and analysis techniques to understand ML Al behavior and performance.b. Identify trends, patterns, and anomalies in data. Explore new applications of LLMs in data science, such as LLM-powered recommendation systems, predictive analytics, and anomaly detection.c. Communicate data-driven insights to stakeholders effectively. Minimum Required Skills :- 11+ years of experience preferred. - Advanced degree in computer science, data science, or a related field.- Deep understanding of LLM architectures, algorithms, and techniques.- Strong experience in Python, SQL. - Should be extremely comfortable with Numpy, Pandas, Matplotlib and Scikit learn python libraries- Strong understanding of machine learning concepts and algorithms. Should know deep learning techniques such as clustering, decision trees, random forest, etc. - Knowledge on text classification, sentiment analysis, named entity recognition, machine translation, text summarization and question-answering is must.- Experience with LLM frameworks (Hugging Face Transformers, TensorFlow, PyTorch)- Experience with data labeling and annotation tools.- Certifications in cloud platforms or ML technologies can be a plus.- Proficient knowledge of cloud platforms (AWS, GCP, Azure).- Strong problem-solving and analytical skills.- Ability to work in team-oriented, collaborative environment. Keywords :- Data Scientist- Statistician- Data Engineer- Python- R- Supervised & Unsupervised learning- Machine Learning Algorithms- Deep Learning- Hugging Face- Natural Language Processing (NLP)- Computer Vision- TensorFlow- PyTorch- Scikit-learn- Transformers- LLM Frameworks- LLM Models- GPT -3, 4o- BERT- Llama

Responsibilities : 1. Strategic Leadership :a. Define and drive the overall data science strategy and roadmap for the organization, aligning it with business objectives and technical capabilities.b. Oversee the design, development, and implementation of data science solutions.c. Foster a culture of innovation and continuous improvement within the data science team. 2. Data Strategy :a. Develop and deploy advanced data science models and algorithms, including LLMs, to solve complex business problems. Identify, acquire, and curate high-quality datasets relevant ML tasks.b. Design and implement data preprocessing, cleaning, and augmentation techniques.c. Leverage LLMs to extract deeper insights from data, including unstructured text and natural language data. 3. Data-Driven ML Development :a. Collaborate with LLM experts to integrate LLMs into data science pipelines and applications. b. Optimize LLM performance for specific tasks and domains.c. Apply advanced data mining and machine learning techniques to extract valuable insights.d. Evaluate ML performance using rigorous data-driven metrics. 4. ML Data Visualization and Analysis :a. Develop data visualizations and analysis techniques to understand ML Al behavior and performance.b. Identify trends, patterns, and anomalies in data. Explore new applications of LLMs in data science, such as LLM-powered recommendation systems, predictive analytics, and anomaly detection.c. Communicate data-driven insights to stakeholders effectively. Minimum Required Skills :- 11+ years of experience preferred. - Advanced degree in computer science, data science, or a related field.- Deep understanding of LLM architectures, algorithms, and techniques.- Strong experience in Python, SQL. - Should be extremely comfortable with Numpy, Pandas, Matplotlib and Scikit learn python libraries- Strong understanding of machine learning concepts and algorithms. Should know deep learning techniques such as clustering, decision trees, random forest, etc. - Knowledge on text classification, sentiment analysis, named entity recognition, machine translation, text summarization and question-answering is must.- Experience with LLM frameworks (Hugging Face Transformers, TensorFlow, PyTorch)- Experience with data labeling and annotation tools.- Certifications in cloud platforms or ML technologies can be a plus.- Proficient knowledge of cloud platforms (AWS, GCP, Azure).- Strong problem-solving and analytical skills.- Ability to work in team-oriented, collaborative environment. Keywords :- Data Scientist- Statistician- Data Engineer- Python- R- Supervised & Unsupervised learning- Machine Learning Algorithms- Deep Learning- Hugging Face- Natural Language Processing (NLP)- Computer Vision- TensorFlow- PyTorch- Scikit-learn- Transformers- LLM Frameworks- LLM Models- GPT -3, 4o- BERT- Llama

Responsibilities : 1. Strategic Leadership : a. Define and drive the overall data science strategy and roadmap for the organization, aligning it with business objectives and technical capabilities. b. Oversee the design, development, and implementation of data science solutions. c. Foster a culture of innovation and continuous improvement within the data science team. 2. Data Strategy : a. Develop and deploy advanced data science models and algorithms, including LLMs, to solve complex business problems. Identify, acquire, and curate high-quality datasets relevant ML tasks. b. Design and implement data preprocessing, cleaning, and augmentation techniques. c. Leverage LLMs to extract deeper insights from data, including unstructured text and natural language data. 3. Data-Driven ML Development : a. Collaborate with LLM experts to integrate LLMs into data science pipelines and applications. b. Optimize LLM performance for specific tasks and domains. c. Apply advanced data mining and machine learning techniques to extract valuable insights. d. Evaluate ML performance using rigorous data-driven metrics. 4. ML Data Visualization and Analysis : a. Develop data visualizations and analysis techniques to understand ML Al behavior and performance. b. Identify trends, patterns, and anomalies in data. Explore new applications of LLMs in data science, such as LLM-powered recommendation systems, predictive analytics, and anomaly detection. c. Communicate data-driven insights to stakeholders effectively. Minimum Required Skills : - 11+ years of experience preferred. - Advanced degree in computer science, data science, or a related field. - Deep understanding of LLM architectures, algorithms, and techniques. - Strong experience in Python, SQL. - Should be extremely comfortable with Numpy, Pandas, Matplotlib and Scikit learn python libraries - Strong understanding of machine learning concepts and algorithms. Should know deep learning techniques such as clustering, decision trees, random forest, etc. - Knowledge on text classification, sentiment analysis, named entity recognition, machine translation, text summarization and question-answering is must. - Experience with LLM frameworks (Hugging Face Transformers, TensorFlow, PyTorch) - Experience with data labeling and annotation tools. - Certifications in cloud platforms or ML technologies can be a plus. - Proficient knowledge of cloud platforms (AWS, GCP, Azure). - Strong problem-solving and analytical skills. - Ability to work in team-oriented, collaborative environment. Keywords : - Data Scientist - Statistician - Data Engineer - Python - R - Supervised & Unsupervised learning - Machine Learning Algorithms - Deep Learning - Hugging Face - Natural Language Processing (NLP) - Computer Vision - TensorFlow - PyTorch - Scikit-learn - Transformers - LLM Frameworks - LLM Models - GPT -3, 4o - BERT - Llama

Looking to onboard a skilled Reporting & Analytics Lead with 15 to 20 years of experience to oversee the data and analytics operations within our Unified Support Services (USS) Function. The ideal candidate will have a strong background in data management, analytics methodologies, and the ability to translate complex data into actionable business strategies. ### Roles and Responsibility Develop and implement a comprehensive data and analytics strategy aligned with the USS objectives. Lead and manage a team of data analysts, data scientists, and other data professionals, providing guidance and mentorship. Oversee the collection, storage, management, quality, and protection of data. Drive the adoption of analytics tools and data-driven decision-making across the organization. Collaborate with IT and business stakeholders to ensure seamless integration of data systems and analytics solutions. Design and monitor key performance indicators (KPIs) to measure the effectiveness of data and analytics initiatives. ### Job Requirements Proven leadership experience in a data and analytics role. Strong understanding of data management principles, data architecture, and analytics platforms. Expertise in statistical analysis, predictive modeling, and data visualization techniques. Excellent communication, collaboration, and project management skills. Ability to lead and inspire a team in a fast-paced and evolving environment. Over 15 years of experience in IT support services, with significant leadership experience in managing large-scale operations. Strong understanding of ITIL service management frameworks with relevant certifications. Demonstrated experience in driving service improvement and innovation in a complex, multinational organization. Excellent communication, negotiation, and interpersonal skills, with the ability to engage effectively with all levels of the organization and external partners. Strategic and analytical thinker with robust problem-solving skills. Demonstrates an in-depth knowledge of how IT reporting & analytics solutions support customer fulfillment and productivity to achieve short- and long-term business goals Applies a deep understanding of Service desk and Onsite support services needs to identify critical outcomes, barriers to success, and changes in expectations or scope Ability to build and maintain relationships with key leadership, building business acumen and linking business needs Ability to defuse difficult conversations while maintaining confidence, transparency and trust Uses in-depth knowledge of business/clients/industry, professional organizations, market trends and legislation to identify key issues and trends and make recommendations Possess innovative mindset by being open to new ideas and promoting team members to think differently

Job ID - 35335 Job Level: PT1 Job Location: Gurgaon/ Bangalore Function: Chief Operations Office (COO) Employment Type:Permanent Working pattern:Hybrid Why we need this role Provide Operational Performance Data Insights and Analysis by delivering Timely Inputs/Recommendation forImprovement in Business processes and Customer experience What you will do Creating interactive dashboards for different teams in Operations and Engineering, Deliver Customer specific reports and analysis for SMT Communication with the Stakeholders across Operations and Engineering to understand their requirements and provide Data Analysis accordingly. Recommend Process/system changes basis the data Analytics Provide Data Insight for different projects to enable right decision What we are looking for Excellent knowledge of SQL (complex queries) Excellent knowledge of Qlik Sense / Power BI Excellent knowledge of advanced Excel (advanced formulas, data connections, pivot, charts etc.) Ability of find automation opportunity Good to have Exp in Data Science (AI/ML/Predictive Analysis/Gen AI), Python, SQL Data Science (Predictive Modelling, Machine Learning) Education A bachelor’s or master’s degree in Business, IT, Computer Science, Telecommunications or a relevant field Roles and Responsibilities Network Operations & Services Specialist

Salary : 20 to 35 LPA Exp: 3 to 10 years Location :Bangalore/Pune/Gurugram (Hydrid) Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) PD/LGD model development Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Text classification using any of the following : decision trees, knn classification, support vector machines or LDA Exp on SQL would be a plus

Domain: Retail Banking / Credit Cards Location: Mumbai/ Bengaluru Experience: 3-5 years Industry: Banking / Financial Services (Mandatory) Why would you like to join us? TransOrg Analytics specializes in Data Science, Data Engineering and Generative AI, providing advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, APAC and the Middle East. We leverage data science to streamline, optimize, and accelerate our clients' businesses. Visit at www.transorg.com to know more about us. What do we expect from you? Build and validate credit risk models , including application scorecards and behavior scorecards (B-score), aligned with business and regulatory requirements. Use advanced machine learning algorithms such as Logistic Regression, XGBoost , and Clustering to develop interpretable and high-performance models. Translate business problems into data-driven solutions using robust statistical and analytical methods. Collaborate with cross-functional teams including credit policy, risk strategy, and data engineering to ensure effective model implementation and monitoring. Maintain clear, audit-ready documentation for all models and comply with internal model governance standards. Track and monitor model performance, proactively suggesting recalibrations or enhancements as needed. What do you need to excel at? Writing efficient and scalable code in Python, SQL, and PySpark for data processing, feature engineering, and model training. Working with large-scale structured and unstructured data in a fast-paced, banking or fintech environment. Deploying and managing models using MLFlow, with a strong understanding of version control and model lifecycle management. Understanding retail banking products , especially credit card portfolios , customer behavior, and risk segmentation. Communicating complex technical outcomes clearly to non-technical stakeholders and senior management. Applying a structured problem-solving approach and delivering insights that drive business value. What are we looking for? Bachelors or masters degree in Statistics, Mathematics, Computer Science , or a related quantitative field. 35 years of experience in credit risk modelling , preferably in retail banking or credit cards. Hands-on expertise in Python, SQL, PySpark , and experience with MLFlow or equivalent MLOps tools. Deep understanding of machine learning techniques including Logistic Regression, XGBoost, and Clustering. Proven experience in developing Application Scorecards and behavior Scorecards using real-world banking data. Strong documentation and compliance orientation, with an ability to work within regulatory frameworks. Curiosity, accountability, and a passion for solving real-world problems using data. Cloud Knowledge, JIRA, GitHub(good to have)

Roles and Responsibilities : Mine, process, and analyze hit/event level web, product, sales, and digital marketing data. Develop predictive scoring models and apply machine learning algorithms to customer profile, journey, and usage data. Deploy ML models into production data sets that can be leveraged for testing/activation on our websites, product applications, and sales/marketing channels. Develop ML model activation testing plans, benchmarking, and measure final outcomes. Enhance/Build data visualizations and reports in Tableau. Work with data engineers to improve and maintain the customer360 data model by defining new feature requirements, making improvements to taxonomy, and identifying bug fixes. Work with cross-functional teams (BI Enterprise Data Warehouse, Salesforce MOPS, IT, Product teams) to improve data quality in the customer360 data model. Develop a good understanding of the business's model, objectives, issues, and challenges by interacting and collaborating with leaders and stakeholders. Document all model methodology, outcomes, and activated performance. Desired Candidate Profile : Experience using Python, SciKit, SQL, Snowflake, hit-level Adobe Analytics data, product usage data, Jupyter Notebooks, Amazon SageMaker, Airflow, Github. Proficiency with data mining, mathematics, and statistical analysis techniques. Experience with predictive modeling techniques, unsupervised, supervised, reinforcement, causal inference machine learning techniques. Experience with the following ML steps: data prep, choosing model, feature creation and selection, training, evaluation, parameter tuning, making predictions. Experience with cookie-level advertising platform data (Google, Bing, Epsilon, LinkedIn, Facebook etc.) and measuring demand generation KPIs (ROAS, CTRs, Impressions, MTA Attribution). Experience with cookie-level web/product data and KPIs like usage, conversion funnels, bounce rates, unique visitors, sessions, hits/events, pathing and journey optimization. Experience with designing A/B/Multivariate/Lift testing and measurement for activated ML models in both digital and offline demand generation channels. Experience gathering and refining requirements from business stakeholders. Experience communicating ML methodology and findings to both technical and non-technical audiences. Preferred: previous experience in an engineering role building, testing, deploying, and measuring ML models using an ensemble approach. Perks and Benefits : 5 Days Working. Performance Linked Incentives. Scholar Policy.

Experience -> 3 to 5 years [good communication, can handle the stakeholders, hands on ML] Tools / Technologies Use Cases / Applications Programming & Scripting Python, SQL Data wrangling, model development, querying relational data Data Manipulation Pandas, NumPy Data preprocessing, statistical calculations, feature engineering Data Visualization Matplotlib, Seaborn, Excel, Qlik(Basic) EDA, trends analysis, dashboards Machine Learning Supervised and Unsupervised models Predictive modeling , clustering, time series, Demand forecasting API Development Flask, Postman Creating and testing REST APIs Databases MySQL Basic to Intermediate SQL knowledge Packaging & Deployment Modular Python scripts, Flask APIs, Apache Deployment End-to-end solutions: data model API Pandas, Machine Learning, Mysql, Numpy, Sql, Python, Qlik, Postman, Flask, Seaborn, Matplotlib, Excel

locationsTower 02, Manyata Embassy Business Park, Racenahali & Nagawara Villages. Outer Ring Rd, Bangalore 540065 time typeFull time posted onPosted 5 Days Ago job requisition idR0000387212 JOIN THE EVOLUTION OF DIGITAL RETAIL ANALYST, ONBOARDING, TARGET PLUS About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. The Onboarding team owns and drives critical early phase of the Partner lifecycle by project managing all onboarding activities to help Partners be successful on Target Plus platform. The team works closely with External Vendors, Integrators, Category Management, Acquisition and Item to ensure all partners added meet or exceed expectations of what it means to be a Partner selling goods on Target Plus. The Analyst, Onboarding will help drive operational efficiencies and pipeline health improvements by coordinating and executing against process improvements, monitoring and reporting on Partner onboarding health and collaborating with key stakeholders. His or her key responsibilities include: Process Excellence Execute and complete defined tasks to ensure partner is setup for success along the onboarding journey Project Management Build onboarding and integration project plans with Global Partners and collaborate with internal teams to successfully manage the execution of integrations, onboarding and self-guided training for new partners Analytics and Reporting: Create dashboards and monitor Onboarding pipeline health by tracking business metrics and identifying trends and blockers. Analyze post-onboarding metrics (e.g, CSAT, productivity) to measure success and determine improvements to the onboarding journey CFT Collaborations: Deep dive into problem areas and identify resolution of issues that may arise during the onboarding project with strong CFT collaborations. Special focus on Item set-up and item approvals as per TAT guidelines ABOUT YOU : Four-year degree in related field 2+ years experience in customer success, project management, or onboarding & training Strong communication skills (verbal and written) with the problem-solving skills and operational excellence Strong knowledge on Data Analytics tools & Insights reporting to drive efficiency & SLA improvements Proven ability to manage details of a project such as determining milestones, highlighting status of project, managing risks, and driving resolution through personal action or accountability through others #Marketplace Culture- https://india.target.com/life-at-target/belonging

Assar Vehicle Rental Services Private Limited is looking for Data Scientist to join our dynamic team and embark on a rewarding career journey. 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

Role Name Senior Associate Global Procurement – Data & Analytics Department Name Global Procurement Role GCF 4A Hiring Manager Name Sergei Brussovansky ABOUT AMGEN If you feel like you are part of something bigger, it’s because you are. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies. We are global collaborators who achieve together—researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It’s time for a career you can be proud of. Join us. ABOUT THE ROLE Role Description: Let’s do this. Let’s change the world. The Senior Associate Global Procurement Data and Analytics will support the Procurement Data & Analytics group that enables the organization to make informed and data-driven decisions. This role plays a crucial part in enhancing the efficiency, cost-effectiveness, and strategic impact of the digital function across the organization. This role is also responsible for supporting the maintenance of Procurement specific content utilized across several platforms including buying instructions, preferred supplier lists, spend taxonomy refresh among others. This role will be expected to provide analysis of performance across the organization, facilitate insightful reporting of key metrics, and support the assessment of new and special projects within the Digital Procurement function. This role will also support and participate in developing the analytics roadmap & assisting with driving project timelines and outcomes. Roles & Responsibilities: Procurement Data Management Drive the implementation of Procurement specific content utilized across multiple platforms including Preferred Supplier, Buying Portal, Policy Compliance, etc.. Support maintenance of process and governance for spend taxonomy refresh. Support the production and development of procurement dashboard enhancements, as required. Work with capability and process owners to provide data extracts, advise and enable strategy and process improvement initiatives (Buying Portal, Sustainability) Maintain transaction and master data including working with external providers to cleanse data. Data & Analytics Support : Support build phase of analytics use cases, including detailed data gathering, insights reporting, prioritization, integration, etc., with relevant stakeholders Understand and summarize advanced analytical techniques, including predictive analytics, machine learning, and artificial intelligence, to gain deeper insights into procurement data Support the development and distribution of ad-hoc and routine reporting data Support project / initiatives management including timelines, stakeholder identification, objective documentation, etc. Continuous Improvement & Compliance: Support continuous improvement efforts to ensure processes minimize manual effort associated with collecting and refreshing data Ensure that data and analytics practices within procurement adhere to relevant regulatory requirements Key Stakeholder Management :? Collaborate with across Procurement and cross-functional teams to gather requirements, identify root causes behind metrics, and generate insights Regularly engage with appropriate Technology and third-party stakeholders to drive execution activities of analytic use cases (i.e., building dashboards, etc.) Functional Skills: Must-Have Skills: Experience participating on cross-functional and/or global teams Internal stakeholder management and strong virtual team participation Advanced data/information and analytics management (including cycle times, KPI’s and SLA’s), continuous improvement expertise, and project management skills Strong analytical skills, including the ability to analyze large datasets, identify trends, and derive actionable insights Experience with procurement technology and software systems, such as procurement ERPs (Enterprise Resource Planning), spend analysis tools, and data visualization tools Soft Skills: Strong verbal and written communication skills Ability to work effectively with global, virtual teams Ability to navigate ambiguity High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Influencing and Change Management skills Basic Qualifications: B.S./B.A. Minimum of 2-4 years of relevant business experience Minimum of 1-2 years of multi-disciplined procurement experience?? EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

About The Role The Data Analytics & Automation Sr. Associate will support the Finance Corporate Services teams, including Global Meetings Management, Global Travel & Expense, Global Learning Solutions, Payroll, and Treasury. This role will be responsible for executing data collection, aggregation, and report development to support business leaders in tracking key performance metrics and service delivery effectiveness. Reporting to the Data Analytics & Automation Manager, this individual will play a critical role in developing and maintaining performance management dashboards and automation solutions. They will assist in analyzing data to identify trends, support investigations, and uncover opportunities for process improvement. The Sr. Associate will also work closely with the Corporate Services Product Team to ensure data connectivity and IT governance compliance. A successful candidate will be comfortable executing tasks under the guidance of leadership, compiling data-driven insights, and contributing to projects (long and short-term) that enhance business functions. He or she will also gather, analyze and prepare data in various forms for the Corporate Services leadership team, as well as other ad hoc needs and requests. Responsibilities Design and develop visual performance dashboards for Corporate Services and Finance functions to monitor key service delivery metrics. Utilize tools such as Tableau, Power BI, and Smartsheet to create effective reporting solutions, ensuring data accuracy and integrity. Execute and implement automation solutions to enhance efficiency and reduce manual effort, leveraging tools such as Power Automate, Power Apps, Power Query, Tableau, Smartsheet, and SharePoint. Develop and maintain data pipelines, queries, and reports to support strategic decision-making, business operations, and ad hoc analytics requests. Collect, aggregate, and analyze data from multiple systems and data warehouses (e.g., Cvent, Concur, SAP) to provide actionable insights and drive process improvements. Support AI automation initiatives, including the maintenance of intake and AI self-service platforms like ServiceNow, while identifying opportunities for AI-driven process enhancements. Ensure seamless data integration and system configurations in collaboration with Technology teams, enforcing data governance policies and standardized data connectivity. Proactively identify trends, conduct investigations, and provide data-driven recommendations to functional leaders to improve business performance and operational efficiency. Prepare recurring reports and dashboards, including monthly, quarterly, and annual performance metrics for Corporate Services leadership. Develop and optimize data analytic queries, standardized/custom report layouts, and a library of executive report formats to align reporting processes with business objectives. Apply data science methodologies, including regression, classification, clustering, and predictive modeling, to enhance reporting and analytics capabilities. Conduct in-depth, ad hoc analyses to investigate operational challenges and provide data-driven insights. Experience with data analytics, reporting tools, and automation solutions. Strong skills in data visualization and dashboard creation (e.g., Power BI, Tableau). Proficiency in SQL and NoSQL databases, including relational table design, indexing strategies, and writing complex queries, with experience handling big data models, data lakes, and distributed computing frameworks. Ability to work with large datasets and extract meaningful insights. Proficiency in data analytics and visualization tools Expertise in automation platforms and workflows, including Microsoft Power Platform (Power Automate, Power Query, Power Apps, SharePoint, and Pages) to streamline processes and improve efficiency. Experience in programming languages such as Python, R, and JSON for data processing, automation, and analytics. Experience with AI-driven analytics and large language models (LLMs) to enhance data insights and automation capabilities. Experience working with self-service platforms such as ServiceNow to support business functions and automation. Understanding of enterprise data governance principles to ensure data accuracy, integrity, and compliance across reporting and automation systems. Familiarity with additional automation tools, such as UiPath and emerging AI technologies, to drive process optimization. Strong data visualization and storytelling skills, with the ability to translate complex data into meaningful dashboards, executive reports, and infographics. Knowledge of statistical techniques, including regression, clustering, and classification, as well as data discovery and visualization methods such as distributions, histograms, and bar charts. Demonstrated ability to take initiative and execute projects independently, while effectively collaborating across teams and influencing without direct authority. Strong attention to detail and ability to manage multiple tasks effectively. Strong communication skills, with the ability to present insights clearly to leadership and coordinate cross-functional data requests and updates.

Project Role : Business Architect Project Role Description : Define opportunities to create tangible business value for the client by leading current state assessments and identifying high level customer requirements, defining the business solutions and structures needed to realize these opportunities, and developing business case to achieve the vision. Must have skills : Guidewire DataHub Good to have skills : NA Minimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business Architect, you will define opportunities to create tangible business value for the client by leading current state assessments and identifying high-level customer requirements, developing business solutions, and structures to achieve the vision. Roles & Responsibilities: Expected to be a SME with deep knowledge and experience. Should have Influencing and Advisory skills. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Expected to provide solutions to problems that apply across multiple teams. Lead current state assessments to identify high-level customer requirements. Define business solutions and structures to realize opportunities. Develop business cases to achieve the vision. Professional & Technical Skills: Must To Have Skills: Proficiency in Guidewire DataHub. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 15 years of experience in Guidewire DataHub. This position is based at our Bengaluru office. A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Infrastructure Architect Project Role Description : Lead the definition, design and documentation of technical environments. Deploy solution architectures, conduct analysis of alternative architectures, create architectural standards, define processes to ensure conformance with standards, institute solution-testing criteria, define a solutions cost of ownership, and promote a clear and consistent business vision through technical architectures. Must have skills : NetApp Data Management & Cloud Storage Solutions Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Infrastructure Architect, you will lead the definition, design, and documentation of technical environments. Your role involves deploying solution architectures, analyzing alternative architectures, creating architectural standards, defining processes for conformance, instituting solution-testing criteria, determining solutions' cost of ownership, and promoting a clear business vision through technical architectures. Roles & Responsibilities: Expected to perform independently and become an SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work-related problems. Lead the definition, design, and documentation of technical environments. Deploy solution architectures and conduct analysis of alternative architectures. Create architectural standards and define processes to ensure conformance with standards. Institute solution-testing criteria and define a solution's cost of ownership. Promote a clear and consistent business vision through technical architectures. Professional & Technical Skills: Must To Have Skills: Proficiency in NetApp Data Management & Cloud Storage Solutions. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 3 years of experience in NetApp Data Management & Cloud Storage Solutions. This position is based at our Bengaluru office. A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Full Stack Engineer Project Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset. Must have skills : Data Science Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Full Stack Engineer, you will be responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Utilize development skills to deliver innovative solutions that enhance client services, leveraging new technologies to solve challenging business problems with a cloud-first and agile mindset. Roles & Responsibilities: Expected to be an SME. Collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Expected to provide solutions to problems that apply across multiple teams. Lead the design and implementation of scalable and secure software solutions. Conduct code reviews and provide technical guidance to team members. Stay updated on industry trends and best practices to drive continuous improvement. Professional & Technical Skills: Must To Have Skills: Proficiency in Data Science. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 12 years of experience in Data Science. This position is based at our Pune office. A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft Azure OpenAI Service Good to have skills : Microsoft Azure PaaS, Python (Programming Language), Large Language Models Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities: Expected to be an SME Collaborate and manage the team to perform Responsible for team decisions Engage with multiple teams and contribute to key decisions Provide solutions to problems for their immediate team and across multiple teams Lead the effort to design, build, and configure applications Act as the primary point of contact for the project Manage the team and ensure successful project delivery Collaborate with multiple teams to make key decisions Provide solutions to problems for the immediate team and across multiple teams Professional & Technical Skills: Must To Have Skills: Proficiency in Microsoft Azure OpenAI Service, Microsoft Azure PaaS, Python (Programming Language), Large Language Models Good To Have Skills: Experience with Microsoft Azure PaaS, Python (Programming Language), Large Language Models Strong understanding of statistical analysis and machine learning algorithms Experience with data visualization tools such as Tableau or Power BI Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information: The candidate should have a minimum of 7.5 years of experience in Microsoft Azure OpenAI Service This position is based at our Gurugram office A 15 years full-time education is required Qualification 15 years full time education

KDataScience (USA & INDIA) is looking for Data Scientist to join our dynamic team and embark on a rewarding career journey 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

Skill required:Data Science - Predictive Modeling and Analytics Designation:Management Level - Team Lead/Consultant Job Location:Mumbai Qualifications:Any Graduation Years of Experience:7 to 11 years What would you do? You will be aligned with our Insights&Intelligence vertical and help us generate insights by leveraging the latest Artificial Intelligence (AI) and Analytics techniques to deliver value to our clients. You will also help us apply your expertise in building world-class solutions, conquering business problems, addressing technical challenges using AI Platforms and technologies. You will be required to utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise-class and demonstrate yourself as an expert by actively blogging, publishing research papers, and creating awareness in this emerging area. In the Data Science team, you will manage and analyze data in order to build data driven business insights and high impact data models to generate significant business value. This will involve creating models and processes to collect, distill and interpret data with a view to aid more informed decision making, examine and explore data from multiple sources with the goal of discovering insights which in turn can provide competitive advantage for our client. This role defines an interdisciplinary field about scientific methods, processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured. What are we looking for? Data Science Adaptable and flexible Ability to perform under pressure Commitment to quality Ability to handle disputes Ability to meet deadlines Good to have Cloud Exposure Roles and Responsibilities In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts

Skill required: Delivery - Digital Marketing Analytics Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years What would you do? Data & AIIn digital marketing analytics, you will be involved in processes and technologies that enable marketers to effectively evaluate the success and value of their digital marketing initiatives, identify trends and patterns over time and make data driven decisions. What are we looking for? Data Science Proficiency in Data Modeling, Experimental Design/Analysis, Marketing and/or Business Analytics. Knowledge of Data Science and Machine Learning concepts and algorithms. Experienced with programming languages and Data Science scripting (in Python / R / Scala / Julia) Experience with Cloud Technologies Experience in implementing ethical practices into data science. Negotiation skills Problem-solving skills Adaptable and flexible Results orientation Prioritization of workload Roles and Responsibilities: Utilize advanced statistical and machine learning techniques to address complex business problems Possess the ability to conduct exploratory data analysis and present findings in ways that are meaningful to stakeholders Develop, refine, and implement models that enhance decision-making processes. Perform comprehensive preprocessing of both structured and unstructured data to ensure its quality and relevance Undertake data collection, analysis, and interpretation to extract meaningful insights. Analyze vast datasets to identify trends, patterns, and correlations that contribute to informed decision-making Build, refine, and deploy predictive models and machine-learning algorithms that align with business objectives Collaborate closely with engineering and marketing teams to understand their requirements and integrate data-driven solutions into their workflows Conduct ad-hoc analyses to provide timely and relevant insights, along with actionable recommendations to address pressing business questions Develop and implement machine learning solutions, including audience segmentation, marketing engagement level evaluation, and prioritization of sales engagement with accounts Manage the end-to-end lifecycle of machine learning models, including training, testing, deployment, and continuous improvement Effectively communicate complex findings and insights to both technical and non-technical stakeholders Document methodologies, data sources, and models to ensure transparency and reproducibility Qualifications Any Graduation

Role & responsibilities What You'll Do: Analyse and integrate clinical and multi-omics datasets (e.g., genomics, proteomics) to extract actionable insights. Develop and validate predictive models for biomedical research and biomarker discovery. Apply Design of Experiments (DOE) and statistical methods to support research objectives. Build interactive web applications using Streamlit or R Shiny for data visualization and exploration. Ensure reproducibility, code quality, and adherence to industrialized coding best practices using Git/GitHub. Collaborate with cross-functional teams including bioinformaticians, data engineers, and clinicians. Document analysis workflows, methodologies, and results in a clear and structured manner. Communicate findings through reports, dashboards, and presentations to technical and non-technical stakeholders. Technical Skills Programming & Tools: R (Tidyverse), Python (pandas, NumPy, scikit-learn) Streamlit or R Shiny for web application development Git/GitHub for version control and code management GCP What You Need: Data Science & Modeling: Exploratory Data Analysis (EDA), Statistical Modeling, Predictive Modeling Clinical data interpretation and Omics data integration Design of Experiments (DOE), Reproducibility & Repeatability Data visualization (ggplot2, matplotlib, seaborn, etc.) You are important to us, lets stay connected! Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow.We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire. Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.Additional Benefits: Health insurance (self & family), virtual wellness platform, and knowledge communities.

Project Role : Business Process Designer Project Role Description : Analyzes, develops, and improves workflows. Identifies inefficiencies in existing processes and proposes solutions to optimize effectiveness. Collaborates with business users to identify and define detailed product requirements and use cases. Design continuous monitoring and feedback collection to help them refine processes over time. Must have skills : Hotel and Lodging Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business Process Designer, you will analyze, develop, and improve workflows. Identify inefficiencies in existing processes and propose solutions to optimize effectiveness. Collaborate with business users to define detailed product requirements and use cases. Design continuous monitoring and feedback collection to refine processes over time. Roles & Responsibilities: Expected to be an SME Collaborate and manage the team to perform Responsible for team decisions Engage with multiple teams and contribute on key decisions Provide solutions to problems for their immediate team and across multiple teams Develop innovative process improvement strategies Implement workflow enhancements to increase efficiency Professional & Technical Skills: Must To Have Skills:Proficiency in Hotel and Lodging Strong understanding of process optimization techniques Experience in workflow analysis and improvement Knowledge of business process modeling tools Ability to identify and implement process automation solutions Additional Information: The candidate should have a minimum of 5 years of experience in Hotel and Lodging This position is based at our Bengaluru office A 15 years full-time education is required Qualifications 15 years full time education

Project Role : Business Process Designer Project Role Description : Analyzes, develops, and improves workflows. Identifies inefficiencies in existing processes and proposes solutions to optimize effectiveness. Collaborates with business users to identify and define detailed product requirements and use cases. Design continuous monitoring and feedback collection to help them refine processes over time. Must have skills : Agile Requirement Management Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business Process Designer, you will analyze, develop, and improve workflows, identify inefficiencies in existing processes, propose solutions to optimize effectiveness, collaborate with business users to define detailed product requirements, and design continuous monitoring and feedback collection for process refinement. Roles & Responsibilities: Expected to be an SME Collaborate and manage the team to perform Responsible for team decisions Engage with multiple teams and contribute on key decisions Provide solutions to problems for their immediate team and across multiple teams Develop innovative process improvement strategies Lead process design workshops with stakeholders Implement process automation solutions Professional & Technical Skills: Must To Have Skills:Proficiency in Agile Requirement Management Strong understanding of process optimization techniques Experience in workflow analysis and improvement Knowledge of product requirement gathering and use case definition Hands-on experience in continuous monitoring and feedback mechanisms Additional Information: The candidate should have a minimum of 7.5 years of experience in Agile Requirement Management This position is based at our Gurugram office A 15 years full time education is required Qualifications 15 years full time education

Entity :- Accenture Strategy & Consulting Team :- Global Network- Data & AI Practice :- Life Sciences Title :- Ind & Func AI Decision Science Consultant Job Location :- Gurgaon, Mumbai, Bangalore About Strategy & Consulting Global Network :- Accenture S&C Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHAT'S IN IT FOR YOU? An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything-from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. Qualifications What you would do in this role Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Provide Subject matter expertise in various sub-segments of the LS industry. Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Execute a transformational change plan aligned with the client's business strategy and context for change. Engage stakeholders in the change journey and build commitment to change. Make presentations wherever required to a known audience or client on functional aspects of his or her domain. Who are we looking for? Bachelor's or Master's degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Excellent understanding of Pharma data sets- commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records) Leverage one's hands on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, digital marketing data. Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc. Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Proficiency in Programming languages such as R, Python, SQL, Spark, etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.