Data Scientist - Artificial Intelligence

Role overview This Data Scientist position at NielsenIQ in Mumbai centers on applying artificial intelligence to real business challenges. The role involves analyzing data to extract insights and support the development of new solutions. Collaboration is key in this job. The Data Scientist works alongside teams from various departments to design and build AI models that help drive better decision-making and improve business results. What you will do Analyze data to identify patterns and generate insights Develop and implement AI models for business applications Work with cross-functional teams to support smarter decisions and enhance outcomes Location This role is based in Mumbai.

Join our innovative team at Version 1 as a Technical Lead specializing in Artificial Intelligence. In this pivotal role, you will spearhead the development of cutting-edge AI solutions, driving projects from conception to implementation. Your expertise will play a crucial role in shaping our AI strategy and ensuring the delivery of high-quality software products.As a Technical Lead, you will collaborate with cross-functional teams, mentor junior developers, and contribute to architectural decisions. We are looking for a visionary leader who thrives in a fast-paced environment and is passionate about leveraging AI technologies to solve complex challenges.

Role Overview Version 1 is hiring an Artificial Intelligence Engineer in Mumbai. This role focuses on designing and building AI-driven solutions that support the company's digital, data, and cloud services. What You Will Do Work closely with colleagues from different disciplines to deliver AI projects. Create and implement solutions using advanced AI technologies. Support efforts to improve and expand Version 1's digital, data, and cloud capabilities through AI.

Join NielsenIQ as a Lead Data Scientist, where you will play a pivotal role in leveraging advanced data analytics to drive business decisions. You will collaborate with cross-functional teams to develop predictive models, interpret complex data sets, and provide insights that support strategic initiatives. This is an exciting opportunity for data enthusiasts looking to make a significant impact within a dynamic team.

weekdayworks is seeking a Lead Data Scientist to support a major client in the software development sector. This onsite position is based in Mumbai and centers on using advanced data science techniques to address real business needs. Role overview The Lead Data Scientist will guide projects from initial concept through final delivery. The work involves applying statistical analysis and machine learning to tackle complex challenges. Close collaboration with engineers and stakeholders is essential to ensure solutions are practical and aligned with business goals. What you will do Lead end-to-end data-driven projects Use statistical analysis and machine learning to solve difficult problems Work closely with engineers and stakeholders to deliver effective solutions Requirements Strong background in data science and analytics Demonstrated experience using data to address business challenges Comfort working in a collaborative, team-oriented environment This role requires working onsite in Mumbai.

Role overview The Senior Applied Data Scientist at sia in Mumbai will apply advanced data analysis and machine learning to guide strategic decisions and enhance product features. This position plays a key part in shaping solutions that match business objectives and improve the experience for users. Collaboration Working with colleagues from various teams, this role involves close coordination to design and implement solutions that support both technical and business needs. Focus areas Use data-driven methods to inform strategy Apply machine learning to strengthen product capabilities Contribute to projects that improve user experience

Join Coface as a Data Scientist, where you will leverage your analytical skills to derive insights from data, contributing to strategic decision-making. Collaborate with cross-functional teams to optimize business processes and enhance customer experiences. This is an exciting opportunity to work in a dynamic environment that values innovation and data-driven decisions.

Role Overview Version1 is hiring a Data Scientist for the Mumbai office. This role focuses on using analytical skills to uncover business insights and support better decision-making. What You Will Do Work with teams across Digital, Data, and Cloud functions to create data-driven solutions for clients. Analyze complex datasets to find trends and opportunities that inform business strategy. Contribute to projects that help clients achieve measurable results through data. Location This position is based in Mumbai.

Role Overview Weekday's client is seeking a Lead Data Scientist for a full-time position based in Mumbai, Maharashtra, India. This leadership role calls for at least 8 years of experience in data science, with a strong track record in model development and business impact. Main Responsibilities Lead advanced analytics projects across the full data science lifecycle, from problem definition to solution delivery. Design, build, and implement scalable machine learning models that provide actionable insights and drive business outcomes. Collaborate with teams from product, engineering, marketing, and business to identify opportunities and translate them into analytical solutions. Guide the development of predictive and prescriptive models using both structured and unstructured data. Select appropriate algorithms, perform feature engineering, and validate models through rigorous testing. Apply a range of machine learning techniques, including supervised and unsupervised learning, ensemble methods, and advanced statistical modeling. Develop and deploy propensity models to predict customer behavior such as purchase likelihood, churn, conversion, and engagement. Support personalized marketing, customer segmentation, and revenue growth through data-driven modeling. Mentor and lead a team of data scientists and analysts, fostering a collaborative and innovative environment. Establish and uphold best practices for model governance, documentation, and lifecycle management. Requirements Minimum 8 years of experience in data science, with proven expertise in model building and development. Hands-on experience with propensity modeling in real-world business settings. Proficiency in a variety of machine learning approaches and statistical modeling techniques. Strong ability to translate business needs into analytical solutions. Experience mentoring and leading technical teams. Location and Employment Type Location: Mumbai, Maharashtra, India Job Type: Full-time

Leverage predictive modeling techniques to enhance power generation, optimize pricing, reduce costs, and elevate customer experiences across various business outcomes.Demonstrated expertise in statistical modeling, machine learning, probability theory, algorithms, data mining, unstructured data analytics, and natural language processing.Proficient in advanced machine learning techniques, including Clustering, Regression, Bayesian methods, tree-based learners, SVM, RF, XGBOOST, time series modeling, dimensionality reduction, SEM, GLM, GLMM, Deep Learning, Neural Networks, Topic Modeling, Multivariate Statistics, K-NN, and Naïve Bayes.Familiarity with widely used Deep Learning architectures, simulation strategies, scenario analysis, constraint optimization, anomaly detection, semi-supervised and unsupervised learning algorithms using deep learning.Experience in optimization methods such as Linear Programming, Genetic Algorithms, Simulated Annealing, and Monte Carlo Simulation.Hands-on experience with emerging technologies like deep learning, NLP, NLG, image processing, recommendation systems, chatbots, voice AI, and video AI.Proficient in managing the end-to-end data science pipeline: from problem scoping, data discovery and extraction, exploratory data analysis (EDA), modeling, evaluation, insights generation, visualizations, to continuous improvement, maintenance, and tracking business value and impact.Daily engagement in discussions involving various algorithms and approaches.Oversee the complete software development lifecycle, including hands-on coding, code reviews, testing, deployment, and documentation. Familiarity with Agile SCRUM and MLOps is highly preferred.Develop scalable and reusable assets and accelerators while implementing best practices in machine learning.Collaborate directly with internal technical teams to ensure seamless and effective integration of solutions.Conduct market and industry trend analysis in technology, proactively identifying opportunities to propose optimal solutions. Engage in ongoing research on emerging ML techniques and best practices.Responsible for coding, testing, debugging, evaluating solution/technology options (including Cloud), and documenting the application development process.Future migration of current analytics applications and pipelines to Cloud environments.

Cole-Parmer India Pvt. Ltd. seeks a Senior Data Scientist to support the development of AI-based models and analytics. This position plays a key part in projects related to eCommerce, digital marketing, and customer engagement. Role focus The Senior Data Scientist will contribute expertise in building and improving AI models. The work centers on analyzing data to enhance online business strategies and strengthen customer interactions. Location and work arrangement This is a fully remote position based in Mumbai, Maharashtra, India. Collaboration will take place virtually with teams focused on digital transformation and analytics.

The OpportunityWe are seeking a passionate Data Scientist to drive growth through sophisticated analytics and machine learning methodologies. This pivotal role merges marketing performance, product enhancement, and decision-making science.You will collaborate extensively with teams in Paid Media, Product, and Engineering to develop models, extract insights, and shape strategies for user acquisition, retention, and monetization. Your expertise will impact our campaigns, user segmentation, and funnel optimization, directly influencing our growth trajectory.This position is perfect for a results-oriented individual who values business impact, communicates effectively, and aspires to create scalable, production-ready insights rather than merely conducting ad-hoc analyses. Your ResponsibilitiesMarketing & Revenue ModelingLead comprehensive modeling of LTV, user segmentation, retention, and marketing efficiency to guide media optimization and value attribution.Work alongside Paid Media and RevOps to enhance SEM performance, forecast high-value cohorts, and inform strategic bidding and targeting.Product & Growth AnalyticsPartner with Product Insights and General Managers (GMs) to establish key metrics, KPIs, and success frameworks for product launches and features.Perform in-depth analyses of user behavior, funnel performance, and product engagement to derive actionable insights.Continuously monitor and interpret shifts in key product metrics, diagnosing root causes and assessing business implications.Collaborate with Data Engineering to create and sustain scalable data pipelines that facilitate machine learning operations, model retraining, and real-time inference.Predictive Modeling & Machine LearningDevelop predictive models for conversion, churn, revenue, and engagement utilizing regression, classification, or time-series methods.Identify avenues for prescriptive analytics and automation within critical product and marketing processes.Assist in the creation of reusable ML pipelines for large-scale applications in product recommendation, lead scoring, and SEM strategy.Collaboration & CommunicationDeliver insights and recommendations to a diverse range of stakeholders — from individual contributors to executives — in a clear and persuasive manner.Translate business challenges into data-driven solutions and complex findings into strategic action plans.Engage cross-functionally with Engineering, Product, BI, and Marketing to ensure the successful implementation of your work.

Role OverviewAs a Credit Data Scientist at Tyme, you will leverage data analytics, feature engineering, and experimentation to enhance credit decision-making and optimize portfolio performance across our diverse lending products and markets. Your role will encompass everything from data exploration to the deployment of production-ready features, alongside continuous monitoring and impact assessment.Key Responsibilities· Analyze customer, bureau, transactional, and repayment data to identify key risk factors, loss drivers, approval rates, and customer outcomes.· Develop and refine credit risk features and model inputs (such as behavioral signals and affordability proxies), collaborating closely with senior modellers and the engineering team.· Contribute to the advancement and enhancement of predictive models using cutting-edge machine learning techniques, focusing on robustness, stability, and deployment readiness.· Design, implement, and assess credit policy experiments (including cut-offs, limits, and pricing/risk trade-offs), followed by thorough post-implementation evaluations.· Establish monitoring mechanisms for model/policy performance and feature integrity (addressing drift, stability, segment performance, and data quality checks).· Assist in portfolio analytics by conducting vintage analyses, roll-rate assessments, migration tracking, early warning indicators, collections funnel analytics, and loss driver investigations.· Collaborate with the Data/Engineering teams to enhance data definitions, quality, lineage, and reproducibility of pipelines; document feature logic and assumptions effectively.· Contribute to the governance documentation, including model inputs, feature catalogs, monitoring evidence, and change logs.

Join Nielsen Company as a Senior Data Analyst I specializing in Survey Programming. In this role, you will be pivotal in analyzing and interpreting data to drive strategic decisions. You will collaborate with cross-functional teams to design and implement surveys, ensuring data accuracy and integrity. Your expertise will contribute to enhancing our analytical capabilities and delivering actionable insights.

About Rentokil PCIRentokil PCI stands as India's premier pest control service provider. Established in 2017 through a strategic partnership between Pest Control India, the nation's leading pest control firm, and Rentokil, the globally recognized pest control leader, Rentokil PCI is committed to redefining customer service standards. With operations spanning 300 locations across India, we continue to deliver exceptional pest management solutions.Position: Business Intelligence Analyst - ITAbout the Role:The Business Intelligence Analyst will play a pivotal role within the BI team, delivering comprehensive reporting and dashboard solutions tailored to the organization’s needs. The ideal candidate will thrive in a collaborative environment, showcasing exceptional organizational, prioritization, communication, and time management skills. Flexibility and accountability are essential, as the candidate will manage multiple priorities while effectively partnering with development teams, technology groups, consultants, and stakeholders.This role reports directly to the Manager of Application Support and requires collaboration with both internal teams and external partners.Job Responsibilities:Develop and manage robust BI solutionsAnalyze business processes and requirementsCreate and maintain documentation, including requirements, design, and user manualsConduct unit testing and troubleshootingDevelop and execute database queries and analysesIdentify development needs to enhance operational efficiencySpot opportunities for process improvements and technology solutionsKey Result Areas:Ensure high quality and accuracy of data assets and analytic deliverablesTroubleshoot BI modeling issues and devise timely solutionsResolve queries effectivelyEnhance application knowledge for new solution implementationsDeliver projects punctually in accordance with business requirementsTimely creation and analysis of visualizations and reportsUpdate dashboards regularlyCompetencies:Strong analytical abilitiesProficient in problem-solving and managing diverse variablesLogical thinking and troubleshooting skillsExcellent verbal and written communication skills for project collaboration

Join Brainwonders, India's leading career counselling company, as an enthusiastic AI Research Freelancer. In this role, you will engage in groundbreaking research and development initiatives in artificial intelligence, assist in the construction and refinement of models, and support ongoing projects that are at the forefront of AI applications.This position presents a rare chance to acquire practical experience in a dynamic environment, alongside receiving advanced AI training funded by the company.Key Responsibilities:Develop and execute machine learning algorithms for analyzing brain-related data to provide predictive insights into cognitive functions.Collaborate with the research team to plan experiments, gather and analyze data.Create user-friendly data visualization tools to effectively convey complex research results.Contribute to the development of AI-driven models tailored for personalized learning and educational assessments.Share research findings within the team and assist in the preparation of scientific publications.Participate in brainstorming sessions, contributing innovative ideas that align with the company’s research goals.Salary: 5,000 - 20,000 INRWorking hours: 10 AM - 7 PM (Monday - Saturday)

Join Quantanite as a Senior AI Engineer and be at the forefront of technological innovation. In this role, you will leverage your expertise in artificial intelligence to develop advanced solutions that drive efficiency and enhance decision-making processes. You will collaborate with a talented team of engineers and data scientists to create cutting-edge applications that meet the needs of our clients.

Join Nielsen as a Data Analyst II specializing in Data Processing, where you will play a pivotal role in analyzing and processing data to support our clients' strategic decisions. Your analytical skills will be crucial in transforming raw data into actionable insights that drive business growth.

Mactores stands as a distinguished leader in delivering cutting-edge data platform solutions to businesses. Since its inception in 2008, Mactores has been committed to empowering organizations to enhance their operational efficiency through automated, agile, and secure End-to-End Data Solutions. Our collaborative approach with clients enables us to devise strategies, navigate complexities, and expedite digital transformation through tailored assessments, migrations, and modernization efforts.As a Data Engineer Intern, you will delve into the realm of data engineering, focusing on solving intricate business challenges. You will collaborate closely with business leaders, analysts, and data scientists to gain insights into the business landscape. By working alongside fellow engineers, you will contribute to the development of data products designed to facilitate improved decision-making. Your passion for data quality and commitment to creating scalable solutions will be essential as you tackle broader business inquiries.Join our dynamic Team Mactores if you are eager to apply your problem-solving skills in a supportive and enjoyable office environment that encourages creativity and productivity while steering clear of traditional corporate constraints.

Join our dynamic team at Weblee Technologies as a Data Visualization Engineer. In this role, you will leverage your expertise to transform complex data into meaningful insights through interactive and engaging visualizations. You will work closely with data analysts and stakeholders to understand their needs and deliver actionable visual solutions that drive data-informed decisions.