Credit Data Scientist - Credit Analytics

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 our dynamic team at Capco as a Counterparty Credit Risk Analyst, where you will play a pivotal role in managing and analyzing counterparty credit risk for our diverse portfolio. You will work closely with cross-functional teams to assess credit exposures, develop risk management strategies, and ensure compliance with regulatory requirements.Your analytical skills will help shape our decision-making processes as you evaluate market trends and creditworthiness of our counterparties.

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.

Join our dynamic finance team as a Senior Executive in Credit Control. Located in Goregaon, Mumbai, you will play a pivotal role in implementing and optimizing credit control processes across our extensive operations.In this role, you will ensure timely collection of dues, facilitate the resolution of billing disputes, and provide valuable insights to minimize outstanding receivables. You will collaborate closely with both internal teams and external stakeholders to achieve departmental goals.

Join necsws as we seek a dedicated professional for our OTC – Cash Application and Credit Management team in the APAC region. This role is crucial for ensuring the accurate processing of cash applications and effective credit management.

Position: Executive - Credit ControlLocation: Vikhroli Office, MumbaiQualifications: Bachelor's degree in any field.Experience: 1-2 years in a finance-related role.Department: FinanceWorking Days: 5 days a weekCompensation: ₹3,00,000 - ₹3,50,000 per annumAbout Rentokil PCI:Rentokil PCI is India’s foremost pest control service provider, operating under the esteemed Rentokil Initial brand. Established in 2017 as a collaboration between Pest Control India and Rentokil, the company has expanded to over 300 locations, setting benchmarks in customer service. With a focus on innovative solutions and best practices, Rentokil PCI continues to lead the market, further strengthening its position by acquiring HiCare in 2024, broadening its service offerings and operational reach.Role Overview:The Executive in Credit Control will play a pivotal role in establishing and executing credit control processes nationwide. Responsibilities include ensuring prompt collections, resolving billing disputes, and providing insights to minimize outstanding receivables. The position reports directly to the Senior Manager and requires collaboration with various internal teams and external stakeholders.Key Responsibilities:• Implement a standardized credit control system across India.• Collaborate with Regional Heads to monitor and enhance collection efforts.• Maintain precise records of follow-ups and collection activities.• Analyze payment trends and suggest proactive measures.• Conduct root cause analysis to address long-standing dues.• Ensure timely payments and escalate persistent issues as necessary.• Assist Sales and Regional Managers in addressing disputed invoices and negotiating terms.• Provide regular updates and reports to senior management for strategic decision-making.• Work closely with Senior Credit Controllers and the Sales Team for documentation and follow-ups related to Purchase Orders.Key Performance Indicators:• Standardization of credit control processes• Reduction in outstanding dues• Timely dispute resolution• Efficient collection reporting• Implementation of root cause analysisEssential Skills:• Detail-oriented• Results-driven• Strong analytical abilities• Effective collaboration and influencing skillsInterested candidates are encouraged to send their resumes to alfeeya.siddiqui@rentokil-pci.com.

We are seeking a dynamic Executive/Sr. Executive for our Credit Control team located in Sewri, Mumbai. This role offers an exciting opportunity for individuals with 1-3 years of experience in credit control and collections.As part of our team, you will be instrumental in achieving collection targets and ensuring the smooth operation of our credit control processes. You will collaborate closely with both internal teams and external stakeholders to drive results.Join us at Rentokil Initial Hygiene, where we have been providing trusted hygiene solutions for over a century, serving customers in more than 75 countries around the globe. Our extensive product offerings include washroom hygiene services, air fresheners, sanitizers, feminine hygiene units, hand dryers, soap dispensers, and floor protection mats.

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

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.

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.

Join Nium as a Data & Analytics Manager and lead the charge in transforming data into actionable insights. In this pivotal role, you will oversee data analysis initiatives, guiding a talented team to innovate and optimize our data strategies. Utilize cutting-edge analytics tools to drive business growth and improve decision-making processes. Collaborate with cross-functional teams to implement data-driven solutions that enhance our client's experience.

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.

Join Nium as a Data & Analytics ConsultantAt Nium, we are at the forefront of revolutionizing global payments with our state-of-the-art real-time cross-border payment solutions. Our mission is to create a seamless payments infrastructure that empowers banks, fintechs, and businesses across the globe to manage their funds efficiently and instantly. With a payout network that supports 100 currencies and spans over 190 countries, we are transforming how businesses transact across borders. As a rapidly growing company with regulatory licenses in more than 40 countries, we are committed to delivering innovative financial solutions that meet the needs of our clients.About the Role:The Data & Analytics Consultant is responsible for driving data-driven decision-making across the organization. In this role, you will harness your expertise in data modeling, trend analysis, and actionable insights to enhance operational efficiency and support strategic initiatives. Collaborating with cross-functional teams, you will design and implement data solutions while contributing to data governance efforts to ensure data quality and effective communication of findings to stakeholders.

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.

Role Overview Experian is hiring a Data Modeler II for its Advanced Analytics team in Mumbai. This role focuses on turning complex data into clear, useful insights that support business decisions. What You Will Do Work with teams across the company to gather and clarify data requirements Design and build scalable data models and architectures Help maintain data integrity and make sure information is accessible to those who need it About the Team Join a group committed to using analytics to drive innovation and improve how decisions are made at Experian.

About WPP MediaWPP is the trusted growth partner for the world’s leading brands. By harnessing exceptional talent, reliable data, and strategic partnerships—united under our innovative marketing platform, WPP Open—we assist clients in navigating change, seizing opportunities, and achieving transformative growth.WPP Media, as WPP's AI-driven media operating unit, integrates media, data, and partnerships to deliver tailored creative solutions at scale. With the connectivity of WPP Open and the power of Open Intelligence, our clients gain clear insights into the effectiveness of their media investments.For further details, please visit wppmedia.com.Role OverviewThe Analytics Manager plays a pivotal role in our analytics team, reporting directly to the Director of Analytics. This position involves designing, customizing, and maintaining platforms that facilitate business analytics and measurement. Candidates should possess outstanding communication skills, a client-centric mindset, and the ability to work effectively both independently and collaboratively with minimal supervision.The Analytics Manager will execute data manipulation and visualization, conduct quantitative data analyses, engage in problem-solving, perform statistical modeling, and develop and assess business cases.

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.