Lead Data Scientist

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 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

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.

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.

We are seeking an experienced Lead Data Modeler specializing in Teradata to join our dynamic team in Mumbai or Bangalore. This pivotal role involves crafting comprehensive data models that align with business needs, ensuring optimal data architecture and performance.As a Lead Data Modeler, you will primarily work with Teradata, implementing industry-standard models such as iLDM. You will engage deeply with stakeholders to understand their requirements, translate them into Conceptual Data Models, and customize models to fit various business scenarios.Your responsibilities will also include converting business definitions into Logical Data Models (LDM) and Physical Data Models (PDM), as well as designing technical solutions for data modeling standards and end-to-end mapping processes.

At Protegrity, we are at the forefront of innovation, utilizing cutting-edge AI and quantum-resistant cryptography to revolutionize data protection across various environments, including cloud-native, hybrid, on-premises, and open-source platforms. Our advanced cryptographic solutions, such as tokenization and format-preserving encryption, ensure that sensitive data is not only secure but also accessible and reliable.As a global leader in data security, our mission is to empower organizations to manage their data effectively in a world where data is the ultimate currency. By joining our dynamic team, you will have the opportunity to collaborate with some of the brightest minds in the industry and make a significant impact on how data is safeguarded in the GenAI era.With the global data privacy software market projected to soar from $2.36 billion in 2022 to $25.85 billion by 2029, this is an exciting time to be part of the cybersecurity field. Protegrity is looking for passionate new team members who are eager to contribute to an organization that places a high value on privacy.We are currently seeking a talented Technical Lead who is driven to guide the development of the Protegrity platform, ensuring compliance with architectural standards while providing expert technical leadership across diverse teams. This role requires exceptional collaboration with architects and senior engineers, advocating for innovative design principles, and fostering a culture of technical excellence throughout our product teams.If you are ready to join a company recognized among the top 25 global software providers and make a meaningful impact, we would love to hear from you!

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.

About WPPWPP stands as a trusted growth partner for the world's premier brands, seamlessly integrating cutting-edge media intelligence, data solutions, world-class creativity, next-gen production, transformative enterprise solutions, and expert strategic counsel under one roof. Powered by exceptional talent and our innovative marketing platform, WPP Open, we empower our clients to navigate change, seize opportunities, and achieve transformational growth. For more information, visit WPP.com. About WPP MediaAt WPP Media, we are committed to creative transformation, leveraging the power of creativity to foster a better future for our people, planet, clients, and communities. As WPP's global media collective, we unite the best platforms, talent, and partners to create limitless growth opportunities. Visit wppmedia.com for more details.We take pride in our culture and our people, which allows us to deliver exceptional experiences for our clients and each other. In this role, embracing WPP and WPP Media's core values will be vital:Be Extraordinary by Leading Collectively to Inspire transformational Creativity.Create an Open environment by Balancing People and Client Experiences through Cultivating Trust.Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

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.

We are seeking an experienced Data Architect with a minimum of 7 years in database architecture. The ideal candidate will possess a comprehensive understanding of how logical designs translate into physical databases. You will be responsible for normalizing data and developing data models for ETL processes. Additionally, you will tackle data migration challenges, including validation, cleanup, and mapping while recognizing the significance of data dictionaries.Key responsibilities include:Assessing client operations to determine database structural requirements.Designing efficient database solutions by defining physical structures, functional capabilities, security, backup, and recovery specifications.Implementing database systems through flowchart development and optimizing access techniques.Maintaining database performance by diagnosing and resolving issues, optimizing parameters, and integrating new releases.Formulating strategies for data acquisition, archival recovery, and database implementation.Cleaning and maintaining databases by removing obsolete data.Analyzing multiple source systems to create a unified ETL architecture.Designing and developing datasets, data warehouses, and multidimensional databases specific to the media domain.Collaborating with users and the database management team to communicate data requirements for future infrastructure needs.

Role OverviewJoin our dynamic team as an AWS Data Engineer! We are looking for a talented individual with 4–7 years of experience in data engineering to architect and develop cloud-native data pipelines. Your innovative contributions will play a vital role in enhancing our data engineering practices, fostering collaboration across teams, and delivering secure, scalable, and high-quality data solutions. This position is essential for generating real-time insights and advancing our mission of optimizing enterprise operations.Key ResponsibilitiesDesign, test, deploy, orchestrate, monitor, and troubleshoot cloud-based data pipelines and automation workflows, adhering to best practices and security standards.Collaborate with data scientists, architects, ETL developers, and business stakeholders to capture, format, and integrate data from internal systems, external sources, and data warehouses.Investigate and assess batch and streaming data technologies to gauge their business impact and relevance to current use cases.Contribute to defining and continuously enhancing data engineering processes and methodologies.Ensure data integrity, accuracy, and security across all corporate data assets.Uphold high data quality standards for Data Services, Analytics, and Master Data Management.Create automated, scalable, and test-driven data pipelines.Utilize software development practices, including Git-based version control, CI/CD, and release management, to enhance AWS CI/CD pipelines.Partner with DevOps engineers and architects to refine DataOps tools and frameworks.

Become a vital member of our innovative and results-driven Data team as a Data Platform Engineer. In this pivotal role, you will be entrusted with the secure management and storage of trading-related data for our teams in India. You will also oversee and enhance our shared data access and processing systems, which are crucial for a wide range of trader analytics, simulations, reporting, and insights. The ideal candidate will possess a solid foundation in systems engineering, ideally with experience in financial markets, and will demonstrate expertise in Linux administration, orchestration and automation tools, systems hardware architecture, and data storage and protection technologies.

Role overview Experian is seeking a Senior Data Modeler based in Mumbai. This role centers on designing and building data models that power analytics and business intelligence efforts. Collaboration is key, as the Senior Data Modeler partners with teams throughout the company to turn complex information into insights that inform strategy and decision-making. What you will do Design and implement data models that support a range of analytical solutions Collaborate with cross-functional teams to gather data requirements and align with business objectives Transform large, complex datasets into organized structures that make insights accessible and actionable Contribute to data-driven initiatives and help strengthen the organization’s use of analytics