1169 Statistical Modeling Jobs - Page 43

Hello All, Greetings from Peoplefy ! Job Title: Data Science Experience Required: 10 - 12 years (Minimum 5 + years relevant experience as a DS(core) Location: Yerwada Pune , General shift Availability: Immediate Joiners or Candidates Serving Notice Period (Till sept 1week) Key Responsibilities: Python Machine learning algorithms Worked on large data Statistics Analysis Data Science Interested Candidates please share your profiles on: gayatri.pat@peoplefy.com

Job description: Enable data driven decision making across the Tesco business globally by developing analytics solutions using a combination of math, tech and business knowledge. In this job, I am accountable for: Following our Business Code of Conduct and always acting with integrity and due diligence and have these specific risk responsibilities: - Understands business needs and in depth understanding of Tesco processes - Builds on Tesco processes and knowledge by applying CI tools and techniques. - Responsible for completing tasks and transactions within agreed KPI's - Solves problems by analyzing solution alternatives Engaging with business & functional partners to understand business priorities, ask relevant questions and scope same into a analytical solution document calling out how application of data science will improve decision making In depth understanding of techniques to prepare the analytical data set leveraging multiple complex data set sources - Building Statistical models and ML algorithms with practitioner level competency -Writing structured, modularized & codified algorithms using Continuous Improvement principles (development of knowledge assets and reusable modules on GitHub, Wiki, etc) with expert competency - Building easy visualization layer on top of the algorithms in order to empower end-users to take decisions - this could be on a visualization platform (Tableau / Python) or through a recommendation set through PPTs Working with the line manager to ensure application / consumption and proactively identifying opportunities to help the larger Tesco business with areas of improvement. Experience relevant for this job: - Applied Math: Applied Statistics, Design of Experiments, - 2 - 4 years experience in data science application in Retail or Regression, Decision Trees, Forecasting, Optimization CPG Preferred algorithms, Clustering, NLP - Functional experience: Marketing, Supply Chain, Customer, - Tech: SQL, Hadoop, Spark, Python, Tableau, MS Excel, MS Merchandising, Operations, Finance or Digital PowerPoint, GitHub - Business: Basic understanding of Retail domain - Soft Skills: Analytical Thinking & Problem solving, Storyboarding, Articulate communication

Responsibilities: * Deliver engaging training sessions on data science principles using Python, R, Excel & SQL. * Design & develop AI/ML curriculum for corporate clients.

CAT Modelling 2+ Years exp in the field of Cat modelling Upto 7LPA Immediate Joiners to 30 Days Flexible with Shifts Skills:Modeling expertise in RMS RiskLink/AIR Touchstone,SQL, MS-Office Word, Excel and Access mansikohliimaginator@gmail.com Required Candidate profile preparing exposure data for multiple lines of businessData cleansing, enhancing and analysis of COPE information Working on complex and large datasets using MS-Exce good communication skills

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

Salary : 20 to 35 LPA Exp: 3 to 8 years Location :/Gurugram/Bangalore/Hyderabad 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, model Development: Design, build, and implement credit risk model. 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) . 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 Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Salary : 30 to 45 LPA Exp: 6 to 10 years Location :Hyderabad (Hybrid) Notice: Immediate to 30 days..!! Roles & responsibilities: 5+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. 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 5+ years exp on ML/Python (predictive modelling) . 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 Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Salary : 20 to 35 LPA Exp: 3 to 8 years Location :/Gurugram/Bangalore/Pune 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, model Development: Design, build, and implement credit risk model. 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) . 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 Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

: In Scope of Position based Promotions (INTERNAL only) Job Title Risk Data Validation & Control (RDV&C) LocationPune, India Corporate TitleAS Role Description Risk Data Validation & Control (RDV&C) team is responsible for quality assurance activities in relation to critical, complex and technical risks and regulatory topics that affect Deutsche Bank (DB). RDV&C are part of the Credit Risk Data Unit (CRDU) team within Group Finance and their key stakeholders include but are not limited to: Business Finance Risk Management (CRM/MRM) Group Reporting Regulatory Policy Adherence Group Production IT Support What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Completion of required month end Quality assurance controls and to validate variance Credit Risk RWA Exposure Analysis Leverage exposure regulatory metric Other reg metric like CVA, EC, EL, Calculation of the exposure wherever required and posting in relevant platforms Navigate through the complex algorithms built in the risk engine to perform root cause analysis on the exposure calculations. Ultimately the calculated output should reflect the economics of the portfolio. Data Quality proactively manage the investigation and resolution of month end issues on the regulatory metrics Liaising with relevant stakeholder for RCA and reporting Providing subject matter expertise and analytics to support Finance and the Risk team Presentation of the reg metric to senior audience across the globe Participation in CTB initiatives Optimisation Focus on the capital number Your skills and experience Good Knowledge of regulatory requirements like ECB CRR, CRD, Basel requirements Understanding of exposure calculation under different models e.g. SA-CCR and IMM Knowledge of Exposure Metrics like EPE/EE, Statistical Modelling (Monte Carlo Simulation etc.) An analytical mindset and good approach to problem solving Experience of process change Strong interpersonal and communication skills Organized and structured working approach Strong attention to detail Reliable team player who enjoys working in an international environment Preferred IT Skills: Python, Advance Excel(VBA), Microstrategy, MS Access How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs

Bengaluru, India Data Science Cross Industry Solutions 05/05/2025 Project description We are seeking a highly skilled and motivated Data Scientist with 5+ years of experience to join our team. The ideal candidate will bring strong data science, programming, and data engineering expertise, along with hands-on experience in generative AI, large language models, and modern LLM application frameworks. This role also demands excellent communication and stakeholder management skills to collaborate effectively across business units. Responsibilities We are seeking a highly skilled and motivated Data Scientist with 5+ years of experience to join our team. The ideal candidate will bring strong data science, programming, and data engineering expertise, along with hands-on experience in generative AI, large language models, and modern LLM application frameworks. This role also demands excellent communication and stakeholder management skills to collaborate effectively across business units. Skills Must have Experience5+ years of industry experience as a Data Scientist, with a proven track record of delivering impactful, data-driven solutions. Programming Skills: Advanced proficiency in Python, with extensive experience writing clean, efficient, and maintainable code. Proficiency with version control tools such as Git. Data EngineeringStrong working proficiency with SQL and distributed computing with Apache Spark. Cloud PlatformsExperience building and deploying apps on Azure Cloud. Generative AI & LLMsPractical experience with large language models (e.g., OpenAI, Anthropic, HuggingFace). Knowledge of Retrieval-Augmented Generation (RAG) techniques and prompt engineering is expected. Machine Learning & ModelingStrong grasp of statistical modeling, machine learning algorithms, and tools like scikit-learn, XGBoost, etc. Stakeholder EngagementExcellent communication skills with a demonstrated ability to interact with business stakeholders, understand their needs, present technical insights clearly, and drive alignment across teams. Tools and librariesProficiency with libraries like Pandas, NumPy, and ML lifecycle tools such as MLflow. Team CollaborationProven experience contributing to agile teams and working cross-functionally in fast-paced environments. Nice to have Hands-on experience with Databricks and Snowflake. Hands-on experience building LLM-based applications using agentic frameworks like LangChain, LangGraph, and AutoGen. Familiarity with data visualization platforms such as Power BI, Tableau, or Plotly. Front-end/Full stack development experience. Exposure to MLOps practices and model deployment pipelines in production. OtherLanguagesEnglishC2 Proficient SeniorityRegular

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Responsible AI Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Responsible AI Engineer, you will assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical, and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. A typical day involves evaluating AI systems and implementing strategies to uphold ethical standards. 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.- Develop and implement responsible AI frameworks.- Conduct audits on AI systems to ensure compliance with ethical standards.- Lead initiatives to promote responsible and sustainable AI practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Responsible AI.- Strong understanding of AI ethics and responsible practices.- Experience in implementing technology mitigation strategies for AI systems.- Knowledge of AI governance frameworks.- Familiarity with AI bias detection and mitigation techniques. Additional Information:- The candidate should have a minimum of 12 years of experience in Responsible AI.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting- Global Network Practice :- Talent & organization - Human Capital Analytics Title :- Ind & Func AI Decision Science Consultant- Level 9 Job location :- Gurgaon/Bengaluru / Mumbai 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. WHATS IN IT FOR YOU? As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. In S&C GN - Data & AI you will understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. Qualifications What you would do in this role Overview :- Were on the lookout for a dynamic and experienced Data Science Consultant for an Advanced People Analytics practice who is great at turning numbers into stories. In this pivotal role, you will harness the power of data to uncover insights that will help us understand our workforce better, making our employees happier and our organization more successful. Develop advanced statistical models to support HR Analytics offerings and solutions using good experience in data analysis and interpretation which helps clients to solve some of the core problems for diverse use cases across different industries. Should be expert in Python Programming Language to create efficient and deployable models and should have knowledge of ML API integrations with different solutions. Should have good knowledge on SQL and familiarity with at Relational and Non-Relational Databases. Use the cutting-edge ML and Data science Skills like Deep learning, LLM, TensorFlow, Time Series Forecasting, Boosting & Bagging, Cohort and Cluster Analysis etc. Deep Expertise on AWS/AZURE Cloud Services (certification Preferred). Anyone Cloud is preferred. Architect effective, scalable, and easy-to-understand dashboards and reporting solutions to identify useful and practical insights for the HR team and business leaders Be a data storyteller - Produce concise, story-driven reports and/or presentations to communicate analytic insights. Utilize Deep expertise in building product ready dashboards utilizing Power Bi and Tableau as the key BI tools. Should have 2-3 years building dashboards as key skill. Be capable of developing new KPIs, metrices and derive strategical insights. Excellent communication skills and ability to translate the business problem into an analytical problem. Cultivate and maintain strong relationships with clients , Understanding their unique challenges and objectives. Should be able to discuss key requirements from clients and navigate towards solutioning it. Should be able to manage Project Teams in terms of guiding the Analysts, Associates to design the desired solution and should be able to work on time bound deliverables. Proficient in engaging and collaborating with diverse onshore/offshore teams, demonstrating self-motivation and the ability to navigate and adapt within an agile environment. Capable of taking initiative and adjusting project course as necessary Use mathematical concepts, statistical analysis, experience, and industry knowledge to resolve complex issues creatively and effectively. Design and execute regular and ad-hoc reporting on key HR metrics, offering actionable insights to guide strategic HR decisions. Assist in creating communication materials and PPT presentations to support analysis, implementation of programs, or strategic initiatives updates. Should have good exposure on building ready to be used decks for different client engagements. Who we are looking for? Education : Masters degree in Economics / Statistics / Mathematics/ Engineering or related Analytics discipline from premier institute Overall 5+ years experience in Analytics domain with 2-3 years in people/Human analytics or relevant domain Strong understanding of People function, people metrics, talent management processes, and organizational dynamics. Excellent problem-solving skills and the ability to convert complex data into actionable insights. Strong communication skills to convey insights and recommendations to both technical and non-technical audiences. Leadership experience, with a track record of effectively managing high visibility analytics projects. Experience with predictive analytics, machine learning, or statistical modeling is a plus. Good to Have:- PySpark/PyTorch framework exposure would be a bonus . Knowledge towards Data Governance, Cloud Integrations, Change Management, Big Data Technologies etc. is appreciated. Html 5/js skills are a bonus. Optimization Theory and People Analytics Consulting Experience Preferred.

Entity :- Accenture Strategy & Consulting Team :- Global Network - Data & AI Practice :- Marketing Analytics Title :- Level 09 Ind & Func AI Decision Science Consultant Job location :- Gurgaon / Bangalore / Mumbai 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. WHATS IN IT FOR YOU As part of our Analytics practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. In S&C GN - Data & AI you will understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. Accenture will continually invest in your learning and growth. You'll work with MMM experts, and Accenture will support you in growing your own tech stack and certificationsQualification What you would do in this role Working through the phases of project Define data requirements for creating a model and understand the business problem Clean, aggregate, analyze, interpret data and carry out quality analysis of it 3+ years of experience of Market Mix Modeling and related concepts of optimizing promotional channels and budget allocation Experience in working with nonlinear optimization techniques. Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering Hands on experience in python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborne, Pycaret, Matplotlib Development of AI/ML models Develop and Manage data pipelines Develop and Manage Data within different layers of Snowflake Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling marketing mix models. Working along with the team and consultant/manager Looking for insight and creating a presentation to demonstrate these insights Supporting development and maintenance of proprietary marketing techniques and other knowledge development projects Basic level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track and report progress Who we are looking for 3+ years for consultant of work experience in consulting/analytics with reputed organization is desirable Master degree in Statistics/Econometrics/ Economics or B Tech/M Tech or Masters/M Tech in Computer Science or M.Phil/Ph.D in statistics/econometrics or related field from reputed college Must have knowledge of SQL language and at-least one cloud-based technologies (Azure, AWS, GCP) Must have good knowledge of Market mix modeling techniques and optimization algorithms and applicability to industry data Must have data migration experience from cloud to snowflake (Azure, GCP, AWS) Managing sets of XML, JSON, and CSV from disparate sources. Manage documentation of data models, architecture, and maintenance processes Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, Java, SQL, Spark etc. Working knowledge in Machine Learning algorithms like Random Forest, Gradient Boosting, Neural Network etc. Proficient in Excel, MS word, PowerPoint, etc. 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.

Skill required: Property & Casualty - Catastrophe Risk Management Designation: Analytics and Modeling Senior Analyst Qualifications: Any Graduation/12th/PUC/HSC Years of Experience: 5 to 8 years What would you do? Ability to perform quarterly CAT risk aggregation and deliver insightful and actionable reporting to internal stakeholdersUnderstand complex treaty structure and apply to portfolio risks Provide stakeholders explanation of portfolio results and trending over time, model change impacts, and data quality and limitationsSupport ad-hoc reporting, corporate and unit level reinsurance placements, and deliver quarterly CAT data to external partnersApply CAT modeling best practices by continually understanding the evolving process within Client and build process efficienciesCoaching and develop members within teamMaintain good documentation of results, issues, data quality etc and have regular dialogue with each line of business to provide feedbackClaims settlements related any client property they own or any accidentsCatastrophe Risk Management refers to the process of guiding insurers how to manage risk aggregations, deploy capital, and price insurance coverage by using computer assisted calculations to estimate the losses that could be sustained due to a catastrophic event such as a hurricane or earthquake. What are we looking for? Minimum 5 years of catastrophe modelling experience - Strong analytical, problem-solving approach – strong knowledge on various reinsurance is mustExperience in using RMS applications and / or AIR CAT model(s) is mustClear communicator, able to structure an argument and explain complex issues in a simple way – faster learning capabilitiesAdvanced knowledge in MS Office applications (Outlook, Word, Excel & PowerPoint) Willingness to work and handle multi tasking in a rapidly changing environment with some firm deadlinesShould have better SQL skills and understand the database schema – additional programming (R/VBA) is advantageAbility to work independently. Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day to day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Please note that this role may require you to work in rotational shifts Qualification Any Graduation,12th/PUC/HSC

An R Shiny web developerbuilds interactive data visualization and analysis tools using the R programming language and the Shiny framework.They design, develop, and deploy dashboards and applications that allow users to explore and manipulate data dynamically.This role often involves data manipulation, UI/UX design, and ensuring the application runs efficiently. Here's a more detailed breakdown of an R Shiny web developer's responsibilities: Responsibilities: Building and Maintaining Shiny Applications: Designing, developing, and maintaining interactive dashboards and applications using R and Shiny. Implementing user interfaces (UI) and server-side logic. Ensuring applications are visually appealing and user-friendly. Updating existing applications based on changes in functionality or requirements. Debugging and testing applications to ensure they function correctly. Data Handling and Manipulation: Analyzing datasets, both structured and unstructured, to identify relationships and prepare data for loading into databases. Creating and managing data pipelines and ETL (Extract, Transform, Load) processes. Data Visualization and Reporting: Developing visualizations, reports, and dashboards using R Shiny. Creating data pipelines that integrate various data sources to create comprehensive visualizations. Collaboration and Communication: Working closely with other developers, data scientists, and subject matter experts. Communicating technical information clearly and concisely. Proposing solutions to technical challenges and application improvements. Mandatory Competencies Data Science and Machine Learning - Data Science and Machine Learning - R Shiny User Interface - Other User Interfaces - JavaScript Beh - Communication and collaboration UX - UX - Photoshop

We are looking for a skilled Data Science Manager with 6 to 11 years of experience to join our team at Accenture Solutions Pvt Ltd, located in [location to be specified]. The ideal candidate will have a strong background in data science and AI. Roles and Responsibility Lead the development and implementation of data-driven solutions using AI and machine learning techniques. Collaborate with cross-functional teams to design and deploy scalable data pipelines and architectures. Develop and maintain large-scale data systems and infrastructure to support business intelligence and analytics. Design and implement predictive models and algorithms to drive business growth and improvement. Work closely with stakeholders to identify business problems and develop data-driven solutions. Stay up-to-date with industry trends and emerging technologies in AI and data science. Job Requirements Strong proficiency in programming languages such as Python, R, or Java. Experience with big data technologies like Hadoop, Spark, or NoSQL databases. Knowledge of machine learning algorithms and deep learning techniques. Excellent problem-solving skills and ability to work in a fast-paced environment. Strong communication and collaboration skills to work with technical and non-technical stakeholders. Ability to lead and manage a team of data scientists and engineers.

In the IBM Chief Information Office, you will be part of a dynamic team driving the future of AI and data science in large-scale enterprise transformations. We offer a collaborative environment where your technical expertise will be valued, and your professional development will be supported. Join us to work on challenging projects, leverage the latest technologies, and make a tangible impact on leading organisations. As a Data Scientist within IBM's Chief Information Office, you will support AI-driven projects across the enterprise. You will apply your technical skills in AI, machine learning, and data analytics to assist in implementing data-driven solutions that align with business goals. This role involves working with team members to translate data insights into actionable recommendations. Key Responsibilities Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Support the implementation and optimisation of AI-driven strategies per business stakeholder requirements. Help refine data-driven methodologies for transformation projects. Data Science and AI: Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyse complex datasets and generate actionable insights. Learn and utilise cloud platforms to ensure the scalability of AI solutions. Leverage reusable assets and apply IBM standards for data science and development. Project Support: Lead and contribute to various stages of AI and data science projects, from data exploration to model development. Monitor project timelines and help resolve technical challenges. Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs. Collaboration: Ensure alignment to stakeholders’ strategic direction and tactical needs. Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Contribute technical expertise to cross-functional teams. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree is strongly preferred Experience 5+ yearsof experience in data science, AI, or analytics with a focus on implementing data-driven solutions Experience with data cleaning, data analysis, A/B testing, and data visualization Experience with AI technologies through coursework or projects Technical Skills: Proficiency in SQL and Python for performing data analysis and developing machine learning models Knowledge of common machine learning algorithms and frameworkslinear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch Experience with cloud-based platforms and data processing frameworks Understanding of large language models (LLMs) Familiarity with IBM’s watsonx product suite Familiarity with object-oriented programming Analytical Skills: Strong problem-solving abilities and eagerness to learn Ability to work with datasets and derive insights Other Requirements: Good communication skills, with the ability to explain technical concepts clearly

Lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the world’s technology leader Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Develop and deploy models using CML workspaces, Build CI/CD pipelines for ML lifecycle Integrate with governance and monitoring tools,Enable secure model serving via REST APIs Preferred technical and professional experience Model governance, lineage, and versioning API exposure for real-time inference

About The Role TBD Qualification TBD

We are looking for a Machine Learning Engineer to join the Data Science team with the athena.intelligence division. You will work with the team to develop and deploy machine learning models across a variety of healthcare products and domains. About you: You love to own important work and find it difficult to turn down a good challenge. You are excited about the latest developments in ML and keep abreast of the latest methods and technologies. You have experience building and evaluating ML models. You have strong communication skills and can work with colleagues from a variety of technical and non-technical backgrounds. Finally, you have a strong interest in improving healthcare. About the team The data science team is bringing machine learning to bear against the hardest problems in healthcare. We are working with product and engineering leaders across the company to build machine learning into our Best In KLAS suite of products. We work hand-in-hand with platform engineers to deploy state-of-the-art machine learning models using cloud technologies. Job Responsibilities As a member of the Data Science team, you are expected to work on projects within scrum teams of 2-4 people and execute the following: Identify opportunities for different machine learning techniques and evaluate which are best Assist in developing and deploying ML-based production services to our clients Understand and follow conventions and best practices for modeling, coding, architecture, and statistics; and hold other team members accountable for doing so Apply rigorous testing of statistics, models, and code Contribute to the development of internal tools and data science team standards Typical Qualifications: Bachelors or Masters in relevant field: math, computer science, data science, economics Bachelor's with 2-3 years of professional experience OR masters with 0-2 years of experience in developing, evaluating and deploying machine learning models. Excellent verbal communication and writing skills Experience using machine learning models and libraries, familiarity with NN frameworks a bonus Experience with Python, SQL , Unix Familiarity with NLP or computer vision techniques Experience using the AWS ecosystem a bonus

Project Role :Cloud Migration Engineer Project Role Description : Provides assessment of existing solutions and infrastructure to migrate to the cloud. Plan, deliver, and implement application and data migration with scalable, high-performance solutions using private and public cloud technologies driving next-generation business outcomes. Must have skills : Cloud Migration Planning Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Migration Engineer, you will provide a comprehensive assessment of existing solutions and infrastructure to facilitate their migration to the cloud. Your typical day will involve planning, delivering, and implementing application and data migration strategies that leverage both private and public cloud technologies. You will focus on creating scalable and high-performance solutions that drive next-generation business outcomes, ensuring that the migration process aligns with organizational goals and enhances operational efficiency. 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.- Facilitate training sessions to enhance team capabilities in cloud migration.- Monitor and evaluate the effectiveness of migration strategies and make necessary adjustments. Professional & Technical Skills: - Must To Have Skills: Proficiency in Cloud Migration Planning.- Strong understanding of cloud architecture and deployment models.- Experience with cloud service providers such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform.- Familiarity with data security and compliance requirements in cloud environments.- Ability to analyze and optimize cloud costs and performance. Additional Information:- The candidate should have minimum 12 years of experience in Cloud Migration Planning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Skill required: Marketing Operations - Customer Insight & Marketing Analytics Designation: Analytics and Modeling Senior Analyst Qualifications: Phd/BE Years of Experience: 5 to 8 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? Basic Qualifications/ Core competenciesJob location:Mumbai/Bangalore Education:Bachelors / Masters / Ph.D. Computer science, Engineering, Statistics, Mathematics, Economics or related disciplines Primary skillset should be storytelling, insight generation and presentation with 5-7 years of experience Ability to draw relevant insights from data and visualize them on slides Good Power point Skills Excellent communication skills (verbal and written). Ability to understand the business context Experience of working with onshore teams Strong team player and excellent problem-solving skills Ability to work in a global collaborative team environment Attention to detail and ability to work in high pressure environment Role requires Digital Marketing Ads & Promotion creation/designProcess by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management. What are we looking for? Python (Programming Language)Structured Query Language (SQL)Preferred Skills: Health care domain experience preferred Pharma marketing experience preferred Experience on visualization tools preferred SQL/Python experience good to have Knowledge of digital marketing and customer analytics preferred Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day to day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Please note that this role may require you to work in rotational shifts Qualification Phd,BE

Skill required: Marketing Operations - Customer Insight & Marketing Analytics Designation: Analytics and Modeling Senior Analyst Qualifications: Phd/BE Years of Experience: 5 to 8 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? Basic Qualifications/ Core competenciesJob location:Mumbai/Bangalore Education:Bachelors / Masters / Ph.D. Computer science, Engineering, Statistics, Mathematics, Economics or related disciplines Primary skillset should be storytelling, insight generation and presentation with 5-7 years of experience Ability to draw relevant insights from data and visualize them on slides Good Power point Skills Excellent communication skills (verbal and written). Ability to understand the business context Experience of working with onshore teams Strong team player and excellent problem-solving skills Ability to work in a global collaborative team environment Attention to detail and ability to work in high pressure environment Role requires Digital Marketing Ads & Promotion creation/designProcess by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management. What are we looking for? Python (Programming Language)Structured Query Language (SQL)Preferred Skills: Health care domain experience preferred Pharma marketing experience preferred Experience on visualization tools preferred SQL/Python experience good to have Knowledge of digital marketing and customer analytics preferred Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day to day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Please note that this role may require you to work in rotational shifts Qualification Phd,BE

Project Role :Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Natural Language Processing (NLP) Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the value of AI and machine learning solutions, ensuring that they align with organizational goals and deliver tangible results. You will also be responsible for analyzing complex data sets, deriving insights, and presenting findings to stakeholders, all while fostering an environment of innovation and continuous improvement. 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.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Develop and implement best practices for data analysis and model development to ensure high-quality outputs. Professional & Technical Skills: - Must To Have Skills: Proficiency in Natural Language Processing (NLP).- Strong understanding of machine learning algorithms and their applications.- Experience with data preprocessing techniques and text analytics.- Familiarity with programming languages such as Python or R for data analysis.- Ability to communicate complex technical concepts to non-technical stakeholders. Additional Information:- The candidate should have minimum 12 years of experience in Natural Language Processing (NLP).- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education