Senior Applied Data Scientist

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 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.

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.

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 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.

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.

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.

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

SiftHub is seeking a talented Applied AI Engineer to architect, develop, and enhance comprehensive RAG (retrieval-augmented generation) and agentic pipelines that drive sales intelligence across our innovative platform.Join our dynamic team to help revolutionize deal orchestration, empowering revenue teams to automate sales workflows and uncover valuable insights through AI technology.

The Senior Data Analyst role at sia centers on working with large and complex data sets to help guide business decisions and drive improvements. This position requires a strong ability to translate raw data into insights that are easy to understand and act on. Key responsibilities Analyze complex data sets to uncover trends and identify new opportunities Develop reports that distill findings into clear, actionable insights for business stakeholders Collaborate with teams throughout the company to support and enhance data strategy Location This position is based in Mumbai.

Mactores is a pioneering leader in delivering state-of-the-art data platform solutions. Since its inception in 2008, Mactores has empowered businesses to enhance their value through automation, offering comprehensive End-to-End Data Solutions that are automated, agile, and secure. We partner with clients to strategize, navigate, and expedite their digital transformation journey through assessments, migrations, and modernization efforts.We are in search of a skilled Senior AWS Data Engineer to join our dynamic team. The ideal candidate will possess significant expertise in PySpark and SQL, with hands-on experience in building data pipelines utilizing Amazon EMR or Amazon Glue. A strong background in data modeling and user querying with Amazon Redshift or Snowflake, Amazon Athena, and Presto is essential. Additionally, candidates should be proficient in orchestration using Airflow.

Role Overview Version1 is hiring a Senior Data Engineer in Mumbai. This role focuses on building and improving data architecture to support digital and cloud services. The Senior Data Engineer will work closely with teams across the company to design and deliver reliable data solutions. What You Will Do Design and implement data systems that support business needs Collaborate with cross-functional teams to deliver data-driven solutions Help shape data architecture and drive key data initiatives Support efforts to use data for better decision-making and improved operations Location This position is based in Mumbai.

Mactores stands as a prominent figure in delivering cutting-edge data platform solutions tailored for businesses. Since its inception in 2008, Mactores has empowered organizations to enhance their value through automation, offering comprehensive End-to-End Data Solutions that are automated, agile, and secure. We partner with our clients to strategize, navigate, and accelerate their digital transformation journey through assessments, migrations, and modernization initiatives.Mactores is on the lookout for a talented Senior AWS Data Engineer to join our dynamic team. The successful candidate will possess substantial expertise in PySpark and SQL, with a proven track record in building data pipelines utilizing Amazon EMR or Amazon Glue. Additionally, experience in data modeling and end-user querying is essential, having worked with platforms such as Amazon Redshift or Snowflake, Amazon Athena, and Presto. Proficiency in orchestration tools like Airflow is also required.

As a Senior Data Acquisition Specialist at Experian, you will play a pivotal role in leveraging data to drive business insights and enhance decision-making processes. You will be responsible for acquiring, managing, and analyzing large datasets that aid in developing innovative solutions for our clients. Your expertise in data strategies and analytics will be crucial in ensuring the integrity and quality of our data assets.

As a Senior Principal Engineer specializing in Electrical systems for Data Centers, you will lead critical engineering projects, ensuring compliance with industry standards and driving innovation in electrical design and implementation. Your expertise will contribute to the development of efficient and sustainable data center operations.

We are seeking a highly skilled and experienced Senior Project Manager specializing in Testing and Commissioning for Data Centers. In this pivotal role, you will oversee the planning, execution, and delivery of complex data center projects, ensuring they meet the highest standards of quality and efficiency.Your responsibilities will include managing project timelines, budgets, and resources, while collaborating closely with cross-functional teams and stakeholders to drive project success. You will leverage your expertise in data center operations to ensure all testing and commissioning processes are executed flawlessly.