2502 Data Science Jobs - Page 4

Job Title: Industry & Function AI Decision Science Manager + S&C GN Management Level:07 - Manager Location: Primary Bengaluru, Secondary Gurugram Must-Have Skills: Consumer Goods & Services domain expertise , AI & ML, Proficiency in Python, R, PySpark, SQL , Experience in cloud platforms (Azure, AWS, GCP) , Expertise in Revenue Growth Management, Pricing Analytics, Promotion Analytics, PPA/Portfolio Optimization, Trade Investment Optimization. Good-to-Have Skills: Experience with Large Language Models (LLMs) like ChatGPT, Llama 2, or Claude 2 , Familiarity with optimization methods, advanced visualization tools (Power BI, Tableau), and Time Series Forecasting Job Summary : As a Decision Science Manager , you will lead the design and delivery of AI solutions in the Consumer Goods & Services domain. This role involves working closely with clients to provide advanced analytics and AI-driven strategies that deliver measurable business outcomes. Your expertise in analytics, problem-solving, and team leadership will help drive innovation and value for the organization. Roles & Responsibilities: Analyze extensive datasets and derive actionable insights for Consumer Goods data sources (e.g., Nielsen, IRI, EPOS, TPM). Evaluate AI and analytics maturity in the Consumer Goods sector and develop data-driven solutions. Design and implement AI-based strategies to deliver significant client benefits. Employ structured problem-solving methodologies to address complex business challenges. Lead data science initiatives, mentor team members, and contribute to thought leadership. Foster strong client relationships and act as a key liaison for project delivery. Build and deploy advanced analytics solutions using Accentures platforms and tools. Apply technical proficiency in Python, Pyspark, R, SQL, and cloud technologies for solution deployment. Develop compelling data-driven narratives for stakeholder engagement. Collaborate with internal teams to innovate, drive sales, and build new capabilities. Drive insights in critical Consumer Goods domains such as Revenue Growth Management Pricing Analytics and Pricing Optimization Promotion Analytics and Promotion Optimization SKU Rationalization/ Portfolio Optimization Price Pack Architecture Decomposition Models Time Series Forecasting Professional & Technical Skills: Proficiency in AI and analytics solutions (descriptive, diagnostic, predictive, prescriptive, generative). Expertise in delivering large scale projects/programs for Consumer Goods clients on Revenue Growth Management - Pricing Analytics, Promotion Analytics, Portfolio Optimization, etc. Deep and clear understanding of typical data sources used in RGM programs POS, Syndicated, Shipment, Finance, Promotion Calendar, etc. Strong programming skills in Python, R, PySpark, SQL, and experience with cloud platforms (Azure, AWS, GCP) and proficient in using services like Databricks and Sagemaker. Deep knowledge of traditional and advanced machine learning techniques, including deep learning. Experience with optimization techniques (linear, nonlinear, evolutionary methods). Familiarity with visualization tools like Power BI, Tableau. Experience with Large Language Models (LLMs) like ChatGPT, Llama 2. Certifications in Data Science or related fields. Additional Information: The ideal candidate has a strong educational background in data science and a proven track record in delivering impactful AI solutions in the Consumer Goods sector. This position offers opportunities to lead innovative projects and collaborate with global teams. Join Accenture to leverage cutting-edge technologies and deliver transformative business outcomes. About Our Company | AccentureQualification Experience: Minimum 7-9 years of experience in data science, particularly in the Consumer Goods sector Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or MBA (Data Science specialization preferred)

Job Title - S&C Global Network - AI - Healthcare Analytics - Consultant Management Level: 9-Team Lead/Consultant Location: Bangalore/Gurgaon Must-have skills: R,Phython,SQL,Spark,Tableau ,Power BI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS 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 everythingfrom 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. 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 clients 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 Bachelors or Masters 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 ones 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 Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 4-8 Years Educational Qualification:Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

Job Title - S&C Global Network - AI - Healthcare Analytics - Consultant Management Level: 9-Team Lead/Consultant Location: Bangalore/Gurgaon Must-have skills: R,Phython,SQL,Spark,Tableau ,Power BI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS 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 everythingfrom 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. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. 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 clients 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 Bachelors or Masters 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 ones 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 Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 4-8 Years Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

• Data engineering - Source data from internal system sources and external (public/private) sources, using data pipelines or automations • Data science & risk modelling - Develop risk models / algorithm for calculating credit scoring of clients, credit loss, simulating stress scenarios and LLM models to aide credit risk assessment • Risk Reporting & Visualization - Develop risk reports and dashboards for credit risk officers to analyse and monitor risks in their portfolio • Data governance - Organise and document data attributes, process and procedures • Infrastructure management - Collaborate with internal technology teams to analyse impact on data due to infrastructure changes • To understanding trade Life Cycle – work closely with key departments across the organization, including Accounting, Trade Finance, Operations, and Deal Desk (amongst others) to understand data throughout the trade life cycle Bachelor’s degree in computer science, Finance, Mathematics, Statistics, or related field 3-5 years of experience in data engineering, data science, or similar technical role Proficiency in SQL and database management systems Strong programming skills in Python, R, or similar languages for statistical analysis and machine learning Experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch) Knowledge of statistical modeling, econometrics, and risk management methodologies Experience with ETL/ELT tools and data pipeline frameworks Familiarity with Large Language Models and Natural Language Processing techniques Experience with data visualization tools (Tableau, Power BI, or similar) Excellent English verbal and written communication Key Responsibilities: Data Engineering: Design, build, and maintain robust data pipelines to source data from internal system sources and external public/private data providers Develop automated data ingestion processes to ensure timely and accurate data flow Implement data quality controls and monitoring systems to maintain data integrity Data Science & Risk Modelling: Develop and maintain sophisticated risk models and algorithms for calculating client credit scores Build predictive models for credit loss estimation and expected credit loss calculations Design and implement stress testing scenarios to evaluate portfolio resilience under adverse conditions Create and deploy Large Language Model (LLM) solutions to enhance credit risk assessment processes Risk Reporting & Visualization: Develop comprehensive risk reports and interactive dashboards for credit risk officers Create visualization tools that enable effective portfolio risk analysis and monitoring Data governance: Organise and document data attributes, process and procedures Infrastructure management: Collaborate with internal technology teams to analyse impact on data due to infrastructure changes Trade Life Cycle: Work closely with key departments across the organization, including Accounting, Trade Finance, Operations, and Deal Desk (amongst others) to understand data throughout the trade life cycle Key Relationships Global Credit team, risk technology, data scientist, Other internal departments (accounts, treasury, trade finance, operations etc) Global Credit team, Head of Operation Risk Management, Other internal departments (accounts, treasury, trade finance, operations etc)

Job Description We are seeking an experienced and dynamic Senior Talent Acquisition Specialist to lead end-to-end recruitment efforts across key technical functions, including Data Engineering, Data Science, and Business Intelligence . This pivotal role will manage the full hiring lifecycle from creating and overseeing job requisitions and postings to partnering closely with hiring managers, building strong talent pipelines, screening candidates, and ensuring an exceptional candidate experience. The ideal candidate will bring deep expertise in the technology landscape and a proven track record in technical recruiting. This individual will thrive in a fast-paced, high-volume environment and demonstrate a passion for finding and attracting top talent. In addition to recruiting responsibilities, the Senior Talent Acquisition Specialist will play a vital role in employer branding , helping to communicate and amplify what makes our company an outstanding place to work. A strong attention to detail is essential, particularly in maintaining and optimizing the Applicant Tracking System (ATS) to ensure accurate candidate tracking and efficient reporting. Above all, we are looking for someone who is committed to delivering an exceptional candidate experience from the first impression to the final interaction while consistently representing and strengthening the Blend employer brand . Key Responsibilities Lead full-cycle recruitment across technology functions. Develop and implement effective recruitment strategies to attract top talent. Collaborate with hiring managers to understand their staffing needs and create job descriptions. Build and execute sourcing strategies to attract passive and active candidates through job boardes, social media, employee referrals, and networking Use data and analytics to track metrics such as time-to fill, source of hire and pipeline health. Manage ATS workflows, maintain accurate records. Build and maintain relationships with external recruitment agencies and job boards. Enhance employer branding initiatives to attract candidates through social media and other marketing channels. Qualifications Required: 5+ years of progressive experience in talent acquisition, with a minimum of 3 years specifically focused on hiring Data Engineering, Data Science, and/or Business Intelligence profe

Senior analyst with ML model experience for Regions Bank Job Description: Primary Responsibilities for a Risk Data Scientist on the BSA/AML/OFAC Model Development and Monitoring Team: Design and develop transaction monitoring scenarios. Improves segmentation for the scenarios/models using techniques such as clustering. Executes periodic tuning for the threshold parameters of the scenarios through sample collection. Develops post processing models to reduce the number of false positives generated by the scenarios using techniques such as rare event logistic regression and machine learning algorithms. Researches and develops algorithms that incorporates fuzzy logic for OFAC sanction screening and other types of screening processes. Develops post processing models that incorporate Natural Language Processing techniques to reduce the number of false positives. Implementation of models. Develops and executes ongoing monitoring plan to monitor the performance of the models. Documentation of the model development, especially the implementation process. Supports model validation activities. Ad hoc analysis to address requests from business partners. Requirements Bachelor s degree in Statistics, Data Science, Operations Research, Industrial Engineering, Mathematics, or Physics, AND six (6) years related experience. Master s degree in Statistics, Data Science, Operations Research, Industrial Engineering, Mathematics, or Physics, AND four (4) years related experience. OR PhD degree in Statistics, Operations Research, Industrial Engineering, Mathematics, or Physics, AND two (2) years related experience. Skills and Competencies High proficiency with Python, R, SAS, and SQL. Advanced data sourcing and management skills. Enhanced experience with web scraping. Knowledge and experience with CDSW platform. Experience with software development, especially deployment. Experience with classification models. Location: DGS India - Bengaluru - Manyata N1 Block Brand: Merkle Time Type: Full time Contract Type: Permanent

About Us: Neuron7.ai is a rapidly growing AI-first SaaS company focused on building a category-defining service intelligence product. Backed by leading venture capitalists in Silicon Valley and a distinguished group of angel advisors/investors, we are recognized as a startup to watch. Our platform empowers enterprises to make accurate service decisions at scale by delivering service predictions in seconds through the analysis of structured and unstructured data. Learn more at Neuron7.ai . Why Join Us: At Neuron7.ai , you ll be part of a dynamic and innovative team that is redefining service intelligence. We value creativity, collaboration, and a commitment to pushing boundaries. About the Team: The product team at Neuron7 is new and growing! You ll join a design + product team working to launch Neuron7 s next wave of innovation and to establish a design and research practice at Neuron7. As an early member of the team, you ll have the opportunity to have significant impact on both product direction and on the team s design culture. Most of Neuron7 is based in either the Bay Area andBangalore. What you ll do: Neuron7 is building the next generation of AI-powered service intelligence, enabling enterprises to improve service efficiency and predict future issues before they occur. As the Product Designer for Search, you will craft the user journey around our Search product and corresponding analytics and insights and elevate the design quality across our products. You ll collaborate with Product, Data Science, Engineering, and Customer Success teams to improve both knowledge and diagnostics search as well as provide insights on search KPIs to our customers. Your work will empower organizations to accelerate troubleshooting, answer any questions, and optimize service workflows. Own the end-to-end design process for Next Gen Search product, including discovery, ideation, prototyping, high-fidelity UI, and implementation support Partner with Product and Engineering to define and execute the product strategy and roadmap to ensure intuitive and scalable user experience Work closely with the Head of Design to establish design vision and principles for the Neuron7 platform Conduct or support user research and usability testing to understand user needs, validate ideas, and iterate quickly Contribute to the creation of a design system that supports efficiency, consistency and high-quality design across the platform Work autonomously while collaborating in person with cross-functional peers in Bangalore and asynchronously with global stakeholders What We re Looking For 8+ years of product design experience, with a strong portfolio of delivering consumer-level experience in complex B2B or enterprise products High agency. Proven ability to own and drive the end-to-end design process Strong design craft with attention to detail in interaction, usability, and visual design Expertise in Figma and passionate about learning the latest design and AI tools to continue evolving the design practice Excellent collaboration and communication skills, bringing people along through storytelling, prototypes, and clear rationale Self-starter who thrives in fast-paced, high-growth environments Experience working with cross-functional partners to ship high-quality product experiences Familiarity with user research and a deep passion for deeply understanding customer pain points Excited to work on cutting-edge AI technology and help define a category: Service Resolution Intelligence Passion for solving real-world problems with innovative, AI-powered solutions If this sounds like you, we want to hear from you! Come join a high-impact team where your voice and ideas will shape what we build and how we build them!

Job Summary Bluphlux is seeking a talented Data Scientist to join our innovative team. As a Data Scientist, you will play a crucial role in leveraging data to enhance our AI-driven recruitment solutions. You will work closely with our development team to refine our patented algorithms and ensure our clients receive the most accurate and efficient recruitment services. Key Responsibilities Develop and implement data models and algorithms to improve recruitment processes. Analyze large datasets to extract actionable insights and improve decision-making. Collaborate with cross-functional teams to integrate data-driven solutions into our recruitment platform. Continuously evaluate and improve the performance of our AI algorithms. Stay up-to-date with the latest advancements in data science and AI to ensure our solutions remain cutting-edge. Required Qualifications Bachelors or Masters degree in Data Science, Computer Science, Statistics, or a related field. Proven experience as a Data Scientist or similar role. Strong programming skills in Python, R, or similar languages. Experience with machine learning frameworks such as TensorFlow or PyTorch. Excellent analytical and problem-solving skills. Preferred Skills Experience in the recruitment or HR tech industry. Familiarity with natural language processing (NLP) techniques. Knowledge of cloud platforms such as AWS or Azure.

Why Join Us At Mahindra Finance, we are all about recognizing the potential in people and empowering them in every way possible. And while we re doing so for the whole of the nation, there s no way we could forget our very own people - our employees. Which is why, we make every possible effort to create and maintain a milieu which is highly conducive for their growth. Our people are never short of challenges and cross-functional opportunities to help them expand their horizons and learn in a holistic way. In fact, we always encourage entrepreneurial thinking amongst our people to create more leaders at every level. Lead Data Science VFD (Vehicle Finance Division) at Mahindra Finance The Lead - Data Science (similar to an Engagement Manager) is the Project leader who will lead the areas of communicating with the clients and advising them , Identifying and phrasing problem statement , identifying data needed to solve the problem , designing mechanism to solve the data problem and delivering the working solution . He or she will be the key person interacting with the client teams and vendors for the project and will also direct the analysts working on the projects. He will be reporting to the Head of Data Science team and seek timely directives and help from him for all parts of the project What You ll Do Dealing with the Operational teams from client side. This may include interactions with the Operations, Sales, Marketing and IT heads from client side. It includes following key aspects: Communicating and understanding clearly what are the business-data challenge. Culturally sensitizing the client side for being open to sharing and using data for solving problems and letting machines take certain decisions using AI. Knowing the art of identifying what data needs to be extracted/ used for solving a particular challenge. Designing a consumption layer for the client to consume the final delivered solution. Explaining the clients what the solution is doing behind the curtains in a very simplified manner. Dealing with Data Science Vendors: Summarizing the business-data challenge to them and giving clear deliverables. Timely interfacing with the vendors in resolving their asks and queries. Testing and verifying their deliverables and refining them. Maintaining a healthy relationship with key vendors Managing internal project team and Science behind projects: Managing analysts on the project - work distribution and timeline planning for the projects, training and guiding the analysts. Designing the frameworks in data sciences (R, Python, Azure ML, Amazon ML, Google ML, Spark etc) to be used for relevant projects. Choice of Data and Machine learning algorithms to solve a particular problem. Creating Data Strategy roadmaps for businesses in the long term. Creating post project delivery way forward for ensuring sustainability of data science solutions delivered. Being aware of the world-class and most recent advances in data science areas and having ready references to the best methods in the data science fraternity. Displaying thought leadership on social media on all things data science Proactively identifying applications and ideas of using data science across Mahindra Finance Helping other teams at MMFSL for consultations on data expertise What We Value High degree of Emotional Intelligence in managing relationships with client side business leaders. Most of the data challenges will involve dealing with department heads from Marketing, IT, FInance etc and would need convincing the client side of what data needs to be shared and how it will be used. There is a need to have a skill of selling the use of Machine Learning in conjunction with humans. The person needs to have a personality, composure and body language equivalent to that of a consultant. Knowledge of key Data Science tools like: Python based machine learning, Cloud based ML like Azure ML. Understanding of what algorithms need to be used to solve different classes of data problems. Consulting skills like: understanding business challenges, framing problem statements, delivering concise reports/ decks for CXO level consumption. Most important: Work experience of leading and delivering Data Science projects to clients. The work may include problems in :Financial analytics, Lending algorithms, MArketing Analytics, Semantic analysis, Social media Analytics, Operational problems like inventory and supply chain optimization, Revenue/pricing/product analytics etc

Job Description Bachelors or master s degree in computer science, AI/ML, Data Science, or related field. 5+ years of experience in AI/ML solution design and development. Proficiency in AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Strong programming skills in Python, R, or Java. Hands-on experience with cloud platforms (AWS, Azure, GCP). Solid understanding of data engineering concepts and tools (Spark, Hadoop, Kafka, etc.). Experience with MLOps practices, including CI/CD for AI models. Strong problem-solving, communication, and leadership skills. Preferred Qualifications AI/ML certifications (AWS Certified Machine Learning, Google Professional ML Engineer, etc.) Experience in natural language processing (NLP) or computer vision. Knowledge of AI governance and ethical AI practices. Familiarity with AI model explainability and bias detection.

We are seeking an experienced and dynamic Senior Talent Acquisition Specialist to lead end-to-end recruitment efforts across key technical functions, including Data Engineering, Data Science, and Business Intelligence . This pivotal role will manage the full hiring lifecycle from creating and overseeing job requisitions and postings to partnering closely with hiring managers, building strong talent pipelines, screening candidates, and ensuring an exceptional candidate experience. The ideal candidate will bring deep expertise in the technology landscape and a proven track record in technical recruiting. This individual will thrive in a fast-paced, high-volume environment and demonstrate a passion for finding and attracting top talent. In addition to recruiting responsibilities, the Senior Talent Acquisition Specialist will play a vital role in employer branding , helping to communicate and amplify what makes our company an outstanding place to work. A strong attention to detail is essential, particularly in maintaining and optimizing the Applicant Tracking System (ATS) to ensure accurate candidate tracking and efficient reporting. Above all, we are looking for someone who is committed to delivering an exceptional candidate experience from the first impression to the final interaction while consistently representing and strengthening the Blend employer brand . Key Responsibilities Lead full-cycle recruitment across technology functions. Develop and implement effective recruitment strategies to attract top talent. Collaborate with hiring managers to understand their staffing needs and create job descriptions. Build and execute sourcing strategies to attract passive and active candidates through job boardes, social media, employee referrals, and networking Use data and analytics to track metrics such as time-to fill, source of hire and pipeline health. Manage ATS workflows, maintain accurate records. Build and maintain relationships with external recruitment agencies and job boards. Enhance employer branding initiatives to attract candidates through social media and other marketing channels. Required: 5+ years of progressive experience in talent acquisition, with a minimum of 3 years specifically focused on hiring Data Engineering, Data Science, and/or Business Intelligence professionals. Demonstra

Senior analyst with ML model experience for Regions Bank Job Description: Primary Responsibilities for a Risk Data Scientist on the BSA/AML/OFAC Model Development and Monitoring Team: Design and develop transaction monitoring scenarios. Improves segmentation for the scenarios/models using techniques such as clustering. Executes periodic tuning for the threshold parameters of the scenarios through sample collection. Develops post processing models to reduce the number of false positives generated by the scenarios using techniques such as rare event logistic regression and machine learning algorithms. Researches and develops algorithms that incorporates fuzzy logic for OFAC sanction screening and other types of screening processes. Develops post processing models that incorporate Natural Language Processing techniques to reduce the number of false positives. Implementation of models. Develops and executes ongoing monitoring plan to monitor the performance of the models. Documentation of the model development, especially the implementation process. Supports model validation activities. Ad hoc analysis to address requests from business partners. Requirements Bachelor s degree in Statistics, Data Science, Operations Research, Industrial Engineering, Mathematics, or Physics, AND six (6) years related experience. Master s degree in Statistics, Data Science, Operations Research, Industrial Engineering, Mathematics, or Physics, AND four (4) years related experience. OR PhD degree in Statistics, Operations Research, Industrial Engineering, Mathematics, or Physics, AND two (2) years related experience. Skills and Competencies High proficiency with Python, R, SAS, and SQL. Advanced data sourcing and management skills. Enhanced experience with web scraping. Knowledge and experience with CDSW platform. Experience with software development, especially deployment. Experience with classification models. Location: DGS India - Bengaluru - Manyata N1 Block Brand: Merkle Time Type: Full time Contract Type: Permanent

Position: Senior Product Manager Location: Bangalore Department: Product About us : Established in 2015, ClickPost is Asias largest Logistics intelligence platform, working with companies such as Walmart, Nykaa, Meesho, Adidas etc to help them improve post purchase customer experience. We have been profitable for past 5 years, are backed by some of the biggest investors around and are growing 2x year on year.We are one of the rare startups working at cutting edge technology, with enormous scales and a brand name that is well respected in Indian Saas and e-commerce world. Our tenets of transparency, learning, ownership and velocity have ensured a culture where multiple ex startup founders are part of the team making it a fun and learning filled place to work at. About the Role: We re looking for a passionate and hands on Product Manager to build and launch new offerings in the e commerce enablement space. You ll own the end to end product lifecycle from ideation and user research to launch, iteration, and scale while working closely with engineering, design, and data teams. This role demands a mix of deep customer focus, sharp prioritization, and a strong understanding of AI Tools, SaaS platforms, and e commerce ecosystems. If you re excited to shape product strategy, solve complex customer problems, and drive impactful outcomes, this role is for you. What You ll Do: Bring in Innovation Launch new product lines and drive the execution of new initiatives and roadmaps in the e commerce/marketplace enablement space. Create use cases, user stories, and detailed requirements for new products and features. Build competitive expertise to aid in outbound positioning and internal prioritization. Scale Existing Products Manage the complete product lifecycle from ideation, to launch, and beyond. Drive feature adoption and measure impact post launch. Conduct customer interviews and build insights for new feature releases. Identify opportunities for cross sell, upsell, and customizability. Prioritize and Lead Development Take calls on customization requests from enterprise customers. Regularly collaborate with customer facing teams to shape new product ideas and user requirements. Identify opportunities for customization requests to evolve into core features. Stakeholder Management Partner with engineering, design, and documentation teams to deliver a seamless user experience. Act as the bridge between technical and business teams. Lead the squad through planning, execution, and review across the project lifecycle. Maintain strong team culture and ensure accountability for deliverables and timelines. Hire, mentor, and share learnings to raise the overall team bar. What We re Looking For: 6+ years of hands on product experience, with a track record of launching and managing successful products. Experience working with enterprise/B2B SaaS platforms taking at least one product from concept to market is a plus. Strong understanding of AI platforms/tools (e.g., ChatGPT, Claude, Perplexity) and experience collaborating with data science teams to define AI/ML requirements. Strong ability to collaborate with data science teams can define requirements for AI/ML models, review model performance, and iterate quickly. Excellent strategic thinking and prioritization skills able to balance long term roadmap planning with short term wins. Strong organizational abilities with experience in prioritization, risk identification, and mitigation. Technical knowledge of UI design, APIs, mobile and web app architecture, and SaaS platforms. Deep understanding of e commerce ecosystems, conversion funnels, and agile ways of working. Comfortable with ambiguity, adept at first principles thinking, and translating broad ideas into actionable plans. Why ClickPost We re a Series A-funded company powering logistics for top e-commerce giants. With over 100 million shipments processed monthly, we re scaling fast and building world-class AI products in India for the world. We offer: Competitive compensation + performance bonuses Health insurance for you and your family Hybrid work flexibility Generous paid time off Learning budget for professional growth A collaborative, inclusive, and high-ownership culture

Technical Programme Manager Back to job search results Tesco India Bengaluru, Karnataka, India Hybrid Full-Time Permanent Apply by 27-Jun-2025 About the role We have an outstanding opportunity for an experienced Technical Programme Manager to join Tesco s Programme and Strategy team, part of the wider Data and Analytics team. We are a true "hub and spoke" team engaging and managing dependencies with a vast number of teams within Tesco as well as third parties. Our role is to ensure data availability and quality in one central repository whilst supporting the delivery of key Tesco business priorities through our analytics, visualisation and data science programmes. This role will be responsible for establishing and managing programmes of work covering our data science, analytics and BI tools and data engineering teams. What is in it for you At Tesco, we are committed to providing the best for you. As a result, our colleagues enjoy a unique, differentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day. Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits. Total Rewards offered at Tesco is determined by four principles -simple, fair, competitive, and sustainable. Salary - Your fixed pay is the guaranteed pay as per your contract of employment. Leave & Time-off - Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays, as per the company s policy. Making Retirement Tension-FreeSalary - In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF. Health is Wealth - Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in-laws. Mental Wellbeing - We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents. Financial Wellbeing - Through our financial literacy partner, we offer one-to-one financial coaching at discounted rates, as well as salary advances on earned wages upon request. Save As You Earn (SAYE) - Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan. Physical Wellbeing - Our green campus promotes physical wellbeing with facilities that include a cricket pitch, football field, badminton and volleyball courts, along with indoor games, encouraging a healthier lifestyle. You will be responsible for Whilst specific responsibilities will be dependent upon the changing needs of the Tesco business, the following provides an overview of the role s key responsibilities and measures: Coordinate teams to deliver for complex programmes with multiple business and technical risks that will impact the success of key Tesco business priorities Create and track a plan to deliver the programme goals, including the technical implementation plan, ensuring colleagues and stakeholders from across Tesco are kept up-to-date Manage dependencies and risk, to minimise delivery risk Prepare and present to governance sessions Establish new, or improve existing, programme delivery methodology to deliver the programme goals Shape programmes with ambiguous scope and uncertain delivery approach Understand trade-offs in software delivery using experience and influencing skills to drive consensus with the Engineering and Product teams to obtain the best value and solution Foresee potential risks and issues, establish a process, facilitate discussion and manage escalations Be aware and evaluate trends and new concepts in programme and product delivery Be able to understand a technical architecture to be able to foresee the impact on dependencies, delivery timelines and implementation plans Have good knowledge of engineering best practices and practical infrastructure implementations to appreciate delivery challenges Collaborate with the Product and Engineering teams to define annual budgetary requirements Contribute actively to TPM community You will need Key Skills and Experience An ideal candidate must have demonstrated below key skills in their current and past roles: Have a proven record of accomplishment in delivering technology and/or infrastructure; having done so across multiple teams in multiple geographies Have experience of building credible relationships and influencing senior management & leadership teams Strong Project, Stakeholder & Programme management skills Excellent reporting skills for programs Good communication & influencing skills and adaptability to change Relevant experience in a data and/or analytics role (preferred) Experience working with agile development and programme delivery methodologies About us Tesco in Bengaluru is a multi-disciplinary team serving our customers, communities, and planet a little better every day across markets. Our goal is to create a sustainable competitive advantage for Tesco by standardising processes, delivering cost savings, enabling agility through technological solutions, and empowering our colleagues to do even more for our customers. With cross-functional expertise, a wide network of teams, and strong governance, we reduce complexity, thereby offering high-quality services for our customers. Tesco in Bengaluru, established in 2004 to enable standardisation and build centralised capabilities and competencies, makes the experience better for our millions of customers worldwide and simpler for over 3,30,000 colleagues Tesco Technology Today, our Technology team consists of over 5,000 experts spread across the UK, Poland, Hungary, the Czech Republic, and India. In India, our Technology division includes teams dedicated to Engineering, Product, Programme, Service Desk and Operations, Systems Engineering, Security & Capability, Data Science, and other roles. At Tesco, our retail platform comprises a wide array of capabilities, value propositions, and products, essential for crafting exceptional retail experiences for our customers and colleagues across all channels and markets. This platform encompasses all aspects of our operations from identifying and authenticating customers, managing products, pricing, promoting, enabling customers to discover products, facilitating payment, and ensuring delivery. By developing a comprehensive Retail Platform, we ensure that as customer touchpoints and devices evolve, we can consistently deliver seamless experiences. This adaptability allows us to respond flexibly without the need to overhaul our technology, thanks to the creation of capabilities we have built. Apply

About the Team Myntra s product management team builds technology products that empower our customers shopping experience and enables the smooth flow of products from suppliers to our customers doorsteps. The Myntra Search and personalisation product management team is responsible for understanding user s explicit and implicit intent and affinities and help them discover relevant products on the platform. This role will require the product manager to work with business teams to be able to define solutions to shape demand aligning with the goals of the org without compromising on the customer first approach. You will have the opportunity to be part of a rapidly growing organization and gain exposure to all the parts of a comprehensive ecommerce platform. Key Responsibilities Market Customer Understanding : Understand the search, personalisation landscape especially for product/content discovery platforms, user research, competition analysis and other quantitative/qualitative techniques. Product Vision Strategy : Define a compelling product vision strategy and influence other functional leaders/teams to achieve Outcomes Problem Identification Prioritization: Adopt a structured approach to identify what problems need to be solved and break them down into smaller chunks. Prioritize what problems need to be solved now vs. later. Adoption Metrics : Define product metrics for your area, and track them continuously. Identify usage patterns and come up with action plans to move metrics in the right direction. Product Roadmap Delivery: Be able to define a clear product roadmap with detailed product requirements and work collaboratively with a cross-functional team (design, engineering. business, analytics, etc.) to bring a product to life. Go-to-Market Planning: Create a go-to-market plan working with stakeholders to maximize product adoption and success. Qualifications Experience 5+ years of product management experience, with at least 2 years in Search, personalization and customer experience or related domains. Demonstrated success in leading a product area and managing complex product Portfolio. Bachelor s degree in Computer Science or a related field. MBA or equivalent experience is a plus. Skills Strong data-driven decision-making skills. Exceptional communication and stakeholder management skills, with the ability to align diverse teams on a common vision. Exceptional problem solving skills based on first principles thinking. Strong understanding of technology, data science and comfort with product management processes such as A/B experimentation, writing product requirement documents, managing product backlogs, and creating roadmaps Hands-on experience working with brands/business/marketing teams. " Who are we Myntra is India s leading fashion and lifestyle platform, where technology meets creativity. As pioneers in fashion e-commerce, we ve always believed in disrupting the ordinary. We thrive on a shared passion for fashion, a drive to innovate to lead, and an environment that empowers each one of us to pave our own way. We re bold in our thinking, agile in our execution, and collaborative in spirit. Here, we create MAGIC by inspiring vibrant and joyous self-expression and expanding fashion possibilities for India, while staying true to what we believe in. We believe in taking bold bets and changing the fashion landscape of India. We are a company that is constantly evolving into newer and better forms and we look for people who are ready to evolve with us. From our humble beginnings as a customization company in 2007 to being technology and fashion pioneers today, Myntra is going places and we want you to take part in this journey with us. Working at Myntra is challenging but fun - we are a young and dynamic team, firm believers in meritocracy, believe in equal opportunity, encourage intellectual curiosity and empower our teams with the right tools, space, and opportunities.

About Us - Attentive.ai is a leading provider of landscape and property management software powered by cutting-edge Artificial Intelligence (AI). Our software is designed to optimize workflows and help businesses scale up effortlessly in the outdoor services industry. Our Automeasure software caters to landscaping, snow removal, paving maintenance, and facilities maintenance businesses. We are also building Beam AI , an advanced AI engine focused on automating construction take-off and estimation workflows through deep AI. Beam AI is designed to extract intelligence from complex construction drawings, helping teams save time, reduce errors, and increase bid efficiency. Trusted by top US and Canadian sales teams, we are backed by renowned investors such as Sequoia Surge and InfoEdge Ventures." Position Description: As a Research Engineer-II, you will be an integral part of our AI research team focused on transforming the construction industry through cutting-edge deep learning, computer vision and NLP technologies. You will contribute to the development of intelligent systems for automated construction take-off and estimation by working with unstructured data such as blueprint, drawings (including SVGs), and PDF documents. In this role, you will support the end-to-end lifecycle of AI-based solutions from prototyping and experimentation to deployment in production. Your contributions will directly impact the scalability, accuracy, and efficiency of our products. Roles & Responsibilities Contribute to research and development initiatives focused on Computer Vision, Image Processing , and Deep Learning applied to construction-related data. Build and optimize models for extracting insights from documents such as blueprints, scanned PDFs, and SVG files . Contribute development of multi-modal models that integrate vision with language-based features (NLP/LLMs). Follow best data science and machine learning practices , including data-centric development, experiment tracking, model validation, and reproducibility. Collaborate with cross-functional teams including software engineers, ML researchers, and product teams to convert research ideas into real-world applications. Write clean, scalable, and production-ready code using Python and frameworks like PyTorch , TensorFlow , or HuggingFace . Stay updated with the latest research in computer vision and machine learning and evaluate applicability to construction industry challenges. Skills & Requirements 3-5 years of experience in applied AI/ML and research with a strong focus on Computer Vision and Deep Learning . Solid understanding of image processing , visual document understanding, and feature extraction from visual data. Familiarity with SVG graphics , NLP , or LLM-based architectures is a plus. Deep understanding of unsupervised learning techniques like clustering, dimensionality reduction , and representation learning. Proficiency in Python and ML frameworks such as PyTorch , OpenCV , TensorFlow , and HuggingFace Transformers . Hands-on experience with model optimization techniques (e.g., quantization , pruning , knowledge distillation ). - Good to have Experience with version control systems (e.g., Git ), project tracking tools (e.g., JIRA ), and cloud environments ( GCP , AWS , or Azure ). Familiarity with Docker , Kubernetes , and containerized ML deployment pipelines. Strong analytical and problem-solving skills with a passion for building innovative solutions; ability to rapidly prototype and iterate. Comfortable working in a fast-paced, agile, startup-like environment with excellent communication and collaboration skills. Why Work With Us Be part of a visionary team building a first-of-its-kind AI solution for the construction industry . Exposure to real-world AI deployment and cutting-edge research in vision and multimodal learning. Culture that encourages ownership, innovation, and growth. Opportunities for fast learning, mentorship, and career progression.

Description We are seeking a highly skilled and motivated Data Scientist with expertise in leveraging data to inform business strategy and drive product innovations. In this role, you will apply your expertise in machine learning and analytics. As Data Scientist you will play a crucial role in developing and implementing innovative solutions that leverage AI/ML platform to extract valuable insights from complex data sets. Your work will contribute to enhancing our data-driven decision-making processes and advancing our products and services. Responsibilities: Improve the performance of RCM processes by building and launching machine learning models such as insurance eligibility prediction Design, execute, and analyze A/B testing experiments to measure model performance and validate product hypotheses Define metrics and create dashboards to measure product performance Generate insights through deep-dive analysis to inform strategy and prioritization Collaborate with product, engineering, and marketing stakeholders to define the product roadmap Identify opportunities and initiate new data science projects that drive company OKRs Communicate technical insights effectively to influence decision-making Qualifications You have a Master s degree in a relevant quantitative field (e.g. data science , computer science, statistics, economics) or equivalent in industry experience You have 5-8 years of experience as a data scientist supporting product development You are an expert in SQL You are proficient in either R or Python for data analysis You have successfully developed and launched ML models with quantifiable business impact You have experience designing and analyzing A/B testing experiments and guide product decisions with experimental insights You are results-driven and passionate about building great products, with a proven track record of taking projects from inception to launch Job Information Technology Primary Location India-Karnataka-Bengaluru Schedule: Full-time Travel: No Req ID: 251423 Job Hire Type Experienced Not Applicable #BMI N/A

Reporting To: CTO Experience: 7+ years Work Location: Hyderabad India We are looking for an experienced and dynamic Analytics Team Lead to manage our analytics team. As the Analytics Team Lead, you will be responsible for managing a team of analysts, collaborating with cross-functional departments, and utilizing data to provide valuable insights that contribute to the achievement of organizational objectives. Requirements: Bachelors or Masters degree in Computer Science or a related discipline. Minimum of 5-7 years of progressive experience in analytics or data science roles. At least 2-3 years of experience in a team lead position within an analytics team. Demonstrated success in managing and leading a team of 20 analysts to deliver impactful insights. Experience in working with large datasets and using database management systems. Strong project management skills, with the ability to manage the planning, execution, and delivery of analytics projects. Excellent communication skills to convey complex data insights to both technical and non-technical stakeholders. Proficiency in customer management strategies and techniques. Expertise in Snowflake and AWS is a plus. Familiarity with industry best practices and emerging trends in analytics and data science.

Group Company: MINDSPRINT DIGITAL (INDIA) PRIVATE LIMITED Designation: AISolution Architect JobDescription: Designand implement AI-driven solutions that integrate machine learning, NLP, andother AI technologies. Leadthe architecture and deployment of AI models in production environments. Collaboratewith data scientists, engineers, and business leaders to identify AI use casesand opportunities. Ensurethe scalability, reliability, and performance of AI solutions across theorganization. Developand maintain AI governance frameworks, including ethical considerations andbias mitigation. Stayupdated with the latest advancements in AI and integrate cutting-edgetechnologies into solutions. Providetechnical leadership and mentorship to the AI and data science teams. PresentAI solutions and strategies to executive leadership and key stakeholders. ProfileDescription: Experience:12-15 years in software architecture and AI solutions, with deep experience inmachine learning and data science. Skills:Proficiency in AI/ML frameworks (TensorFlow, PyTorch), cloud platforms (GCP,AWS, Azure), and programming languages (Python, R). Qualifications:Masters or PhD in Computer Science, AI, or related field. Competencies:Strategic thinking with strong leadership skills to guide AI initiatives acrossthe enterprise. Certifications:AI/ML specialization or certification from recognized institutions. Knowledge:Extensive experience in deploying AI solutions at scale, with a focus on MLOpspractices. SoftSkills: Excellent communication and collaboration skills to work withcross-functional teams and stakeholders. Required abilities Physical: Other: Work Environment Details: Specific requirements Travel: Vehicle: Work Permit: Other details Pay Rate: Contract Types: Time Constraints: Compliance Related: Union Affiliation:

We are looking for a Data Scientist with a product engineering mindset to join our fast-paced, data-driven team. Youll work at the intersection of data science, software engineering, and product development, helping to design and deliver scalable, data-centric solutions that drive business value and enhance user experience, particularly in the sports domain. Collaborate with cross-functional teams (Product, Engineering, Design, and Business) to identify opportunities where data science can improve products and services. Design, develop, and deploy machine learning models and data pipelines in production environments using Python, R, and cloud-native services on AWS and Microsoft Azure. Translate complex data into clear product insights and actionable recommendations. Contribute to the product lifecycle by embedding data science into product discovery, experimentation, and iterative improvements. Maintain a strong focus on the user experience, ensuring data-driven solutions are practical and aligned with product goals. Communicate findings effectively with both technical and non-technical stakeholders. Location: Delhi, Mumbai, Bengaluru, Hyderabad, Kolkata, Pune, Chennai, Remote

Project Role : Application Tech Support Practitioner Project Role Description : Act as the ongoing interface between the client and the system or application. Dedicated to quality, using exceptional communication skills to keep our world class systems running. Can accurately define a client issue and can interpret and design a resolution based on deep product knowledge. Must have skills : Unified Communication and Collaboration Operations Good to have skills : Unified Communication and Collaboration ImplementationMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Tech Support Practitioner, you will act as the ongoing interface between the client and the Unified Communication and Collaboration Operations system. You will use exceptional communication skills to keep our world-class systems running smoothly. With deep product knowledge, you will accurately define client issues and design effective resolutions. 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.- Ensure smooth operation of the Unified Communication and Collaboration Operations system.- Resolve client issues by accurately defining and interpreting them.- Design effective resolutions based on deep product knowledge.- Collaborate with the team to provide solutions to work-related problems.- Continuously improve the Unified Communication and Collaboration Operations system. Professional & Technical Skills: - Must To Have Skills: Proficiency in Unified Communication and Collaboration Operations.- Good To Have Skills: Experience with Unified Communication and Collaboration Implementation.- Strong understanding of Unified Communication and Collaboration Operations.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on experience implementing various Unified Communication and Collaboration Operations.- 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 Unified Communication and Collaboration Operations.- This position is based at our Bengaluru 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 : Spring Boot, Japanese Language Good to have skills : Spring Application FrameworkMinimum 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 on 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- Manage the team and ensure successful project delivery Professional & Technical Skills: - Must To Have Skills: Proficiency in Spring Boot, Japanese- 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 Spring Boot- This position is based in Mumbai with location flex for cross location resource.- A 15 years full-time education is required Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : BE Summary :As an AI/ML Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying GenAI models, developing deep learning and neural network models, and working on chatbots and image processing using machine learning techniques. Roles & Responsibilities:- Develop and deploy AI models using machine learning techniques such as deep learning, neural networks, and chatbots.- Collaborate with cross-functional teams to develop and implement AI solutions that meet business requirements.- Apply GenAI models as part of the solution and ensure proper cloud or on-prem application pipeline with production-ready quality.- Stay updated with the latest advancements in AI and machine learning, integrating innovative approaches for sustained competitive advantage.- Communicate technical findings effectively to stakeholders, utilizing data visualization tools for clarity. Professional & Technical Skills: - Must To Have Skills: Strong experience in Machine Learning.- Good To Have Skills: Experience with deep learning, neural networks, chatbots, and image processing.- Experience with Cloud AI services and tools.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools.- Experience in developing and deploying AI models in a production environment. Additional Information:- The candidate should have a minimum of 5 years of experience in Machine Learning.- The ideal candidate will possess a strong educational background in AI/ML Computational Science, Data & AI, or a related field, along with a proven track record of delivering impactful data-driven solutions.- This position is based at our Mumbai office. Qualification BE

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning ServicesMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time educationAs an AI/ML technical lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities:- Design and develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist.- Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services- Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya- Integrate with IVR systems and Proficiency in webhook setup and API integration.- Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks.- Creation of agents in Agent builder and integrating them into end end to pipeline using python.- Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing.- Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities- Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions.- Document technical designs, processes, and setup for various integrations.- Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding.- Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms and techniques.- Experience with chatbot, generative AI models, prompt Engineering- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:- The candidate should have a minimum of 7 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.- The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions.- A 15-year full time education is required Qualification 15 years full time education

Skill required: Insight Engine - Analytics Insights Designation: Analytics and Modeling Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years About Accenture 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. Visit us at www.accenture.com What would you do We are seeking a Machine Learning Data Scientist with 2 to 3 years of hands-on experience to join our growing Insights and Analytics team. The ideal candidate will be proficient in building ML models using supervised and unsupervised learning techniques, comfortable working with Python-based ML libraries, and experienced in data preparation workflows. Familiarity with Microsofts AI/ML ecosystem is a strong advantage. What are we looking for Preferred (Strong Advantage):Hands-on experience with Azure Machine Learning Studio and Automated ML.Familiarity with Azure Cognitive Services for vision, language, and decision tasks.Experience working with Microsoft Fabric and Synapse ML integration. Qualifications:Bachelor s or Masters degree in Computer Science, Data Science, Engineering, or related field.23 years of experience in applied machine learning and data science projects.Solid understanding of model training, validation, and deployment workflows.Experience working with version control (e.g., Git) and collaborative development environments.Nice to Have:Familiarity with tools that help automate and manage the process of building, testing, and deploying machine learning models (MLOps and CI/CD pipelines).Basic understanding of cloud-based architecture and APIs. Roles and Responsibilities: Develop and implement machine learning models using supervised and unsupervised techniques.Apply appropriate machine learning algorithms for prediction tasks (e.g., linear regression, decision trees, neural networks) and data segmentation (e.g., k-means clustering, hierarchical clustering) based on project needs.Perform data preprocessing, feature engineering, and model evaluation.Use Python libraries such as scikit-learn, TensorFlow, and others to build and test models.Analyse and manipulate structured datasets using notebooks (e.g., Jupyter).Collaborate with data engineers, analysts, and product teams to translate business problems into ML solutions.Document model performance, data flows, and process pipelines. Qualification Any Graduation