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8.0 - 13.0 years
6 - 16 Lacs
Pune
Hybrid
Greetings From EY. We are Hiring Demand Planner for one of our clients. Interested candidates can share resume on Megha.Mukundan@in.ey.com Role - Demand Planner Location - Pune Work Mode - Hybrid Shift - UK Contract Period - 1 Year (will convert or extend based on the performance) (Candidates getting hired for this position on EY Payroll) Job Description Develop and maintain accurate demand forecasts using historical sales data, market trends, and statistical models within our global Planning tool Kinaxis Maestro. This includes appropriately cleansing historical events, running robust statistical modelling, and deciding what is appropriate Intelligence to add looking forward. Provide insights on demand trends, seasonality, and risks to improve planning accuracy. Support the Sales & Operations Planning (S&OP) process by presenting the updated demand insights along with key changes to assumptions, working with the PU S&OP Manager Participate and provide relevant inputs in the weekly S&OE & monthly S&OP meetings Experience 8-10 years of experience in demand planning or related role in consumer goods, food & beverage, or manufacturing industries. Proven experience as a Demand Planner using an advanced digital Planning tool, desirably Kinaxis Maestro Strong analytical skills and proficiency in supply chain software ( Kinaxis Maestro highly desirable) and ERP systems (SAP ECC, S4 Hana, JDE) Strong communication skills both written and verbal with the ability to work effectively with Commercial and Sales teams based in other countries Requirements Bachelors degree in supply chain management, Logistics, Business, or a related field (masters preferred). Willingness to work in the morning shift (7 am to 4 pm IST) Regards, Megha Mukundan
Posted 1 month ago
10.0 - 15.0 years
25 - 35 Lacs
Pune
Work from Office
Description: We are looking for a highly skilled Data Scientist to join our AI Center of Excellence (CoE) in Pune. This role involves working on complex financial datasets, building machine learning models, and delivering data-driven insights that support business decisions and product innovation. The ideal candidate should be hands-on, analytical, and passionate about solving real-world problems through data. Requirements: Required Skills & Experience: 4–6 years of proven experience in Data Science, preferably in the finance or FinTech industry. Strong coding skills in Python, R, and SQL. Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch. Solid foundation in statistical modeling, data analysis, and deep learning. Familiarity with cloud platforms like AWS, Azure, or GCP. Proficiency in data visualization tools such as Power BI, Tableau, or Matplotlib. Excellent communication skills to effectively present data-driven insights. Preferred Qualifications: Master’s or Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field. Exposure to NLP, generative AI, or large language models. Experience with MLOps practices for deploying and monitoring models. This position is based in Pune and requires immediate joining. Hybrid or in-office availability is expected based on project needs. Job Responsibilities: Key Responsibilities: Analyze large-scale financial datasets to extract meaningful insights and trends. Develop and deploy machine learning models for predictive analytics and decision support. Translate business challenges into data science problems and propose appropriate solutions. Collaborate with product and business teams to build and implement data-driven features and tools. Communicate analytical findings clearly through visualizations and presentations for non-technical stakeholders. Continuously explore and adopt emerging tools, techniques, and best practices in AI/ML. What We Offer: Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them. Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities! Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays. Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings. Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses. Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!
Posted 1 month ago
0.0 - 5.0 years
3 - 6 Lacs
Pune
Work from Office
Responsibilities: Deliver training on data analyst and data science. Train freshers and working Professionals on data science, data analyst, business analyst, financial analyst. Train teams on data science principles through interactive sessions Annual bonus
Posted 1 month ago
6.0 - 11.0 years
17 - 20 Lacs
Mumbai, Navi Mumbai, Mumbai (All Areas)
Work from Office
Duties and Responsibilities: Large scale data analysis and data mining to come up with portfolio insights for both Retail and WBG portfolio Statistical modeling (ML / regression models) and segmentation thru decision tree to help solving key business problems Help plan and design business processes and make recommendations for improvement Assist in resolving business issues using systems and data Estimate costs and benefits of multiple actions and/or solutions and provide recommendations Help launch new initiatives, campaigns, analytical solutions, along with robust tracking Help in running standard and analytical dashboard/ MIS Requirement: Experience : 6+ years in analytics industry ( Finance / Banking industry preferred ) B Tech/ MBA from premier institute Knowledge of SQL is must with high proficiency Knowledge on statistical model building is must (Logistics regression, Linear regression etc) Knowledge of Python/ R is preferred Knowledge of Statistics Linear Regression, Exploratory Data Analysis, etc. Excellent critical thinking and problem-solving skills Good written and verbal communication skills Detail-oriented with strong organizational skills Location: Mumbai
Posted 1 month ago
0.0 - 5.0 years
2 - 6 Lacs
Ameerpet
Work from Office
Key Responsibilities: Work closely with Data Engineers and ML Engineers to ensure data readiness and model deployment. Present findings and insights to stakeholders using visualizations and dashboards. Productionization & Monitoring: Assist in transitioning models from development to production. Monitor model drift and performance over time. Data Exploration & Querying: Use Databricks SQL for querying and analysing data. Document data lineage and ensure reproducibility Exploratory Data Analysis (EDA): Use Databricks Notebooks (Python, R) to explore structured and unstructured data. Perform hypothesis testing and statistical profiling. Feature Engineering : Create and manage features using Databricks Feature Store. Transform raw data into meaningful inputs for models. Model Development & Training: for fraud claims identification, loss prediction modelling . Build and train models using MLlib, scikit-learn, TensorFlow, or PyTorch. Utilize Databricks Runtime for ML for optimized performance. Experiment Tracking & Model Evaluation: Track experiments and model metrics using MLflow . Evaluate model performance using cross-validation and business KPIs. Collaboration & Communication: Required Skills : Strong programming in Python or R Proficiency in machine learning algorithms and statistical methods Experience with big data processing using Spark Familiarity with cloud platforms (AWS, Azure, GCP) Excellent communication and storytelling skills Tools & Technologies Used: Databricks Notebooks Apache Spark (via PySpark or SparkR) MLflow (Tracking, Registry, Deployment) Feature Store Delta Lake Databricks SQL Visualization Tools (e.g., matplotlib, seaborn, Power BI)
Posted 1 month ago
1.0 - 5.0 years
13 - 14 Lacs
Hyderabad
Work from Office
Summary -Provide analytics support to Novartis internal customers (CPOs & Regional marketing and sales teams) on various low-medium complexity analytical reports. -Support and facilitate data enabled decision making for Novartis internal customers by providing and communicating qualitative and quantitative analytics. -Support GBS -GCO business in building practice by involving in various initiatives like knowledge sharing, on-boarding and training support, support team lead in all business related tasks / activities, building process documentation and knowledge repositories -To be an integral part of a comprehensive design team responsible for designing promotional marketing materials. About the Role Job Description Key Responsibility: Solid understanding of multiple datasets (e. g. LAAD, Xponent, DDD) and managing and coordinating data sets from databases to find patterns and trends. Redefining these complex and granular data into actionable insights. Responsible for standard and ad-hoc extracts/reports across multiple primary and secondary data sources. Responsible for tracking ongoing outcomes reports and manage priorities for upcoming reports. Sharing findings with partners with reports and presentations on a timely basis. Putting together specifications to extract/transform data into required formats for different analytical elements using programming languages like SQL or other data processing tools. Build the foundation for more sophisticated approaches to APLD analysis and advanced analytics wherever it is required and beneficial. Establish and maintain positive relationships with key functional partners. Essential Requirements : - Ability to work independently and as an integral member of the team and Attention to detail and quality focused, good interpersonal and communication skills, influence, negotiation and tact skills, innovative, and collaborative behaviors and can-do orientation. - Curiosity and strong analytical thinking, verbal and written communication skills and exposure to working in multifunctional/cultural environment. - Good communication and interpersonal skills. Conceptual, analytical & tactical thinking, strategic thought process. - Ability to multi-task, work in a demanding distributed team environment, work under tight deadlines. Develop and maintain strong individual performance. Desirable Requirements : - Masters or Bachelor s in STEM - At least 1+ years of experience in data modeling and reporting solutions development and hands-on experience of APLD and US national and subnational datasets and ability to lead teams functionally. - Technical abilities: Excel, SQL or Dataiku, and PowerPoint is vital. Knowledge of statistical modeling or ML is a plus. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients lives. Ready to create a brighter future together? https://www. novartis. com / about / strategy / people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork. novartis. com/network Benefits and Rewards: Read our handbook to learn about all the ways we ll help you thrive personally and professionally:
Posted 1 month ago
2.0 - 5.0 years
5 - 9 Lacs
Ahmedabad
Work from Office
"> Your Role The Data Scientist is responsible for uncovering insights from structured/unstructured data, conducting statistical analyses, and designing ML prototypes to validate feasibility. What You ll Be Doing Clean, transform, and prepare large datasets for analysis Conduct exploratory data analysis and hypothesis testing Build predictive and classification models Support ML engineers by designing feature engineering workflows Present insights to stakeholders through reports and dashboards What We d Love To See 2-5 years in applied analytics or machine learning research Statistical modeling and data experimentation Tools: Python (Pandas, NumPy, Scikit-learn), Power BI/Tableau, SQL Familiarity with Notebooks (Jupyter, Colab) It d Be Great If You Had A/B testing and metric definition What You Can Expect Opportunity to work with a diverse and well-experienced team. To be part of the team who creates phenomenal growth stories for worlds renowned brands. Professional Growth Roadmap. Real-time mentorship and guidance from the leaders. A workplace that invests in your career, cares for you and is fun & engaging. You can be yourself and do amazing work. Benefits Interested in joining our team of artists, geeks, strategizers, and writers? If you re a passionate, talented individual, we want to hear from you. Competitive salary Flexible work-life balance with a 5-day working Policy Paid time off Learning & Development bonus Health coverage Rewards & Recognitions Event & Festivals celebrations Ongoing training programs Onsite opportunities Recognition opportunities for open-source contributions Apply Now Trusted by leading brands
Posted 1 month ago
3.0 - 8.0 years
9 - 13 Lacs
Mumbai
Work from Office
Data ScientistWhat you will be doingUnderstand business problems and translate business requirements into technical requirements.Conduct complex data analysis to ensure data quality & reliability i.e., make the data talk by extracting, preparing, and transforming it.Identify, develop and implement statistical techniques and algorithms to address business challenges and add value to the organization.Gather requirements and communicate finding in the form of a meaningful story with the stakeholders.Build & implement data models using predictive modelling techniquesInteract with clients and provide support for queries and delivery adoption.Lead and mentor data analysts.What we are looking forApart from your love for data and ability to code even while sleeping you would needthe following.Minimum of 3 years of experience in designing and delivery of data science solutions.You should have successful projects of retail / BFSI / FMCG / Manufacturing / QSR in your kitty to show-off.Deep understanding of various statistical techniques, mathematical models, and algorithms to start the conversation with the data in hand.Ability to choose the right model for the data and translate that into a code using R, Python, VBA, SQL, etcDecision Tree, Linear regression, Statistical Modelling, Predictive modellingBachelors/Masters degree in Engineering/Technology or MBA from Tier-1 B School or MSc. in Statistics or Mathematics
Posted 1 month ago
17.0 - 22.0 years
32 - 40 Lacs
Pune
Work from Office
We are Allvue Systems, the leading provider of software solutions for the Private Capital and Credit markets. Whether a client wants an end-to-end technology suite, or independently focused modules, Allvue helps eliminate the boundaries between systems, information, and people. We re looking for ambitious, smart, and creative individuals to join our team and help our clients achieve their goals. Working at Allvue Systems means working with pioneers in the fintech industry. Our efforts are powered by innovative thinking and a desire to build adaptable financial software solutions that help our clients achieve even more. With our common goals of growth and innovation, whether you re collaborating on a cutting-edge project or connecting over shared interests at an office happy hour, the passion is contagious. We want all of our team members to be open, accessible, curious and always learning. As a team, we take initiative, own outcomes, and have passion for what we do. With these pillars at the center of what we do, we strive for continuous improvement, excellent partnership and exceptional results. Come be a part of the team that s revolutionizing the alternative investment industry. Define your own future with Allvue Systems! Strategic Leadership Define and execute the data science roadmap aligned with Allvue Systems business objectives. Partner with executive leadership to identify opportunities for leveraging data science to drive innovation and competitive advantage across the company. Foster a culture of data-driven decision-making across the organization. Effectively communicate complex data insights and recommendations to both technical and non-technical audiences, including senior leadership. Team Management Lead, mentor, and grow a high-performing team of data scientists & Analysts Promote collaboration, innovation, and professional development within the team. Manage the data science teams budget effectively, prioritizing investments in key areas. Cross-Functional Collaboration Work closely with product, Engineering, and other teams to identify data science opportunities and deliver impactful solutions. Collaborate with machine learning and core engineering teams to integrate data science models into production systems. Business Impact Enable the team to develop and deploy predictive models, machine learning algorithms, and AI-driven solutions to optimize content recommendations, personalization, and the different revenue lines. Leverage natural language processing (NLP) and LLMs (Large Language Models) to analyze and derive insights from multimodal content to power recommendations and personalization as well as smarter financial decisions. Build algorithms to measure and improve content performance, audience engagement, and subscription growth. Data Governance & Innovation Collaborate with machine learning engineering, data engineering and IT teams to ensure the integrity, accuracy, and security of data used for analysis and modelling. Champion a culture of experimentation and A/B testing, driving the development of new data products and features. Stay at the forefront of data science trends and technologies, exploring new tools and methodologies to enhance Allvue Systems capabilities. 17+ years of overall experience, with 8+ years in leading large-scale data science projects and teams. Proven track record of delivering impactful AI/ML solutions in a Finance domain. Excellent communication, presentation, and interpersonal skills. Exceptional ability in simplifying complex concepts and effectively influencing senior executive stakeholders. Expertise in aligning technology initiatives with business goals, with a hands-on approach to execution. Deep understanding of ML/AI and statistical modelling. Hands-on expertise in predictive modelling, recommendation systems, (Gen) AI, and NLP. Experience with cloud computing platforms (AWS, GCP, or Azure) and big data technologies (e.g. Spark). Fluent in Python, SQL, and ML frameworks like TensorFlow, PyTorch, or scikit-learn.
Posted 1 month ago
1.0 - 3.0 years
3 - 5 Lacs
Kolkata
Work from Office
We are seeking skilled R Developers with a minimum of 1 year of development experience to join us as freelancers and contribute to impactful projects. Key Responsibilities:Write clean, efficient code for data processing and transformation.Debug and resolve technical issues.Evaluate and review code to ensure quality and compliance Required Qualifications:1+ year of R development experience.Should have expertise in R programming, data analysis, and statistical modeling.Should be skilled in working with large datasets, creating visualizations, and applying machine learning algorithms.
Posted 1 month ago
1.0 - 3.0 years
3 - 5 Lacs
Bengaluru
Work from Office
We are seeking skilled R Developers with a minimum of 1 year of development experience to join us as freelancers and contribute to impactful projects. Key Responsibilities:Write clean, efficient code for data processing and transformation.Debug and resolve technical issues.Evaluate and review code to ensure quality and compliance Required Qualifications:1+ year of R development experience.Should have expertise in R programming, data analysis, and statistical modeling.Should be skilled in working with large datasets, creating visualizations, and applying machine learning algorithms.
Posted 1 month ago
1.0 - 3.0 years
3 - 5 Lacs
Hyderabad
Work from Office
We are seeking skilled R Developers with a minimum of 1 year of development experience to join us as freelancers and contribute to impactful projects. Key Responsibilities:Write clean, efficient code for data processing and transformation.Debug and resolve technical issues.Evaluate and review code to ensure quality and compliance Required Qualifications:1+ year of R development experience.Should have expertise in R programming, data analysis, and statistical modeling.Should be skilled in working with large datasets, creating visualizations, and applying machine learning algorithms.
Posted 1 month ago
1.0 - 3.0 years
3 - 5 Lacs
Mumbai
Work from Office
We are seeking skilled R Developers with a minimum of 1 year of development experience to join us as freelancers and contribute to impactful projects. Key Responsibilities:Write clean, efficient code for data processing and transformation.Debug and resolve technical issues.Evaluate and review code to ensure quality and compliance Required Qualifications:1+ year of R development experience.Should have expertise in R programming, data analysis, and statistical modeling.Should be skilled in working with large datasets, creating visualizations, and applying machine learning algorithms.
Posted 1 month ago
6.0 - 11.0 years
20 - 35 Lacs
Bengaluru
Remote
About Firstsource Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes. Job Title: Lead Data Scientist Mode of work : Remote Responsibilities Design and implement data-driven solutions to optimize customer experience metrics, reduce churn, and enhance customer satisfaction using statistical analysis, machine learning, and predictive modeling. Collaborate with CX teams, contact center operations, customer success, and product teams to gather requirements, understand customer journey objectives, and translate them into actionable analytical solutions. Perform exploratory data analysis (EDA) on customer interaction data, contact center metrics, survey responses, and behavioral data to identify pain points and opportunities for CX improvement. Build, validate, and deploy machine learning models for customer sentiment analysis, churn prediction, next-best-action recommendations, contact center forecasting, and customer lifetime value optimization. Develop CX dashboards and reports using BI tools to track key metrics like NPS, CSAT, FCR, AHT, and customer journey analytics to support strategic decision-making. Optimize model performance for real-time customer experience applications through hyperparameter tuning, A/B testing, and continuous performance monitoring. Contribute to customer data architecture and pipeline development to ensure scalable and reliable customer data flows across touchpoints (voice, chat, email, social, web). Document CX analytics methodologies, customer segmentation strategies, and model outcomes to ensure reproducibility and enable knowledge sharing across CX transformation initiatives. Mentor junior data scientists and analysts on CX-specific use cases, and participate in code reviews to maintain high-quality standards for customer-facing analytics. Skill Requirements Proven experience (at least 6+ years) in data science, analytics, and statistical modeling with specific focus on customer experience, contact center analytics, or customer behavior analysis, including strong understanding of CX metrics, customer journey mapping, and voice-of-customer analytics. Proficiency in Python and/or R for customer data analysis, sentiment analysis, and CX modeling applications. Experience with data analytics libraries such as pandas, NumPy, scikit-learn, and visualization tools like matplotlib, seaborn, or Plotly for customer insights and CX reporting. Experience with machine learning frameworks such as Scikit-learn, XGBoost, LightGBM, and familiarity with deep learning libraries (TensorFlow, PyTorch) for NLP applications in customer feedback analysis and chatbot optimization. Solid understanding of SQL and experience working with customer databases, contact center data warehouses, and CRM systems (e.g., PostgreSQL, MySQL, SQL Server, Salesforce, ServiceNow). Familiarity with data engineering tools and frameworks (e.g., Apache Airflow, dbt, Spark, or similar) for building and orchestrating customer data ETL pipelines and real-time streaming analytics. (Good to have) Knowledge of data governance, data quality frameworks, and data lake architectures. (good to have) Exposure to business intelligence (BI) tools such as Power BI, Tableau, or Looker for CX dashboarding, customer journey visualization, and executive reporting on customer experience metrics. Working knowledge of version control systems (e.g., Git) and collaborative development workflows for customer analytics projects. Strong problem-solving skills with customer-centric analytical thinking, and the ability to work independently and as part of cross-functional CX transformation teams. Excellent communication and presentation skills, with the ability to explain complex customer analytics concepts to non-technical stakeholders including CX executives, contact center managers, and customer success teams. Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.
Posted 1 month ago
3.0 - 7.0 years
20 - 30 Lacs
Bengaluru
Hybrid
Exp with Spark, Flask, SQL, Python, Cloud platform, Machine Learning, Deep Learning & Engineering aspects of ML model deployment, data analysis, mathematics/probability, & statistical analysis. Mail us- info@a1selectors.com
Posted 1 month ago
4.0 - 9.0 years
6 - 11 Lacs
Bengaluru
Work from Office
Project Research Scientist (Non Medical )-Statistician -ICMR -ADAM Project SJRI | St. Johns Research Institute Project Research Scientist (Non Medical )-Statistician -ICMR -ADAM Project Non Division User Ms. for individuals with Type 2 Diabetes Mellitus (T2DM). The study will assess how carbohydrate-restricted diets impact blood glucose levels and evaluate the effectiveness of an AI-driven dietary intervention in improving glycemic control. Using machine learning models, the Virtual Dietician will analyze CGM data in real-time to offer customized meal plans, ensuring optimal nutrient intake while maintaining stable glucose levels. This innovative approach bridges the gap between clinical research and real-world diabetes management, enhancing personalized care through artificial intelligence and digital health solutions. Project Research Scientist III (Non Medical)-Statistician No. of Vacancy: Preferred Qualifications: M.Sc Statistics Maximum Age Limit Experience: Over 4 years of professional experience in the industry, complemented by 3+ years of research expertise in Mathematical and Statistical modeling. Last Day for Receiving Application: Roles and Responsibilities: 1. Design Personalized Nutrition Plans - Develop data-driven, individualized meal recommendations that optimize nutritional intake, support health goals, and accommodate dietary preferences or medical conditions. 2. Model Development & Optimization - Build, train, and refine machine learning models for personalized dietary guidance and glycemic response prediction, with a focus on diabetes management and metabolic health. 3. Enhance AI-Powered Virtual Dietitian - Fine-tune and expand the capabilities of the AI-driven Virtual Dietitian tool to generate adaptive, nutrient-balanced meal plans aligned with user inputs, behavioral patterns, and health outcomes. 4. Collaborate with Healthcare and Research Teams Work closely with medical professionals, nutritionists, and data scientists to align AI applications with clinical and research needs.
Posted 1 month ago
3.0 - 8.0 years
15 - 25 Lacs
Bengaluru
Hybrid
IRB Scorecard Analyst (Python) Location: Bangalore (Hybrid) Exp: 3-8 yrs Join: Immediate to 30 days What Youll Do: Develop and maintain Basel IRB scorecards (PD/LGD/EAD) end-to-end using Python Perform feature engineering, binning, weight-of-evidence transformation & model calibration Back-test and monitor scorecard performance; investigate PSI/KS drift & data anomalies Extract and profile data via SQL; prepare regulator-ready documentation Must Have: 3-8 yrs in IRB scorecard development or credit-risk analytics at a bank/consultancy Expert in Python for statistical modeling (pandas, scikit-learn, statsmodels) Strong SQL skills for data extraction & profiling Solid understanding of Basel II/III IRB guidelines and risk-weight parameters Nice to Have: Hands-on experience with SAS or R for supplementary analyses Familiarity with model-risk management frameworks (SR 11-7/RBI MRM) Experience automating workflows via Python scripting or CI/CD If Interested, kindly share your resume on my email ID - divya.sehgal@thethreeacross.com
Posted 1 month ago
3.0 - 8.0 years
4 - 7 Lacs
Mohali
Work from Office
Responsibilities: *Analyze large database using Python & SQL. * Design, Develop and evaluate machine learning modules. * Collaborate on project delivery within timelines. * Present findings through clear documentation. Food allowance
Posted 1 month ago
3.0 - 8.0 years
12 - 22 Lacs
Bengaluru
Hybrid
IRB Scorecard Analyst (Python) Location: Bangalore (Hybrid) Exp: 3-8 yrs Join: Immediate to 30 days What Youll Do: Develop and maintain Basel IRB scorecards (PD/LGD/EAD) end-to-end using Python Perform feature engineering, binning, weight-of-evidence transformation & model calibration Back-test and monitor scorecard performance; investigate PSI/KS drift & data anomalies Extract and profile data via SQL; prepare regulator-ready documentation Must Have: 3–8 yrs in IRB scorecard development or credit-risk analytics at a bank/consultancy Expert in Python for statistical modeling (pandas, scikit-learn, statsmodels) Strong SQL skills for data extraction & profiling Solid understanding of Basel II/III IRB guidelines and risk-weight parameters Nice to Have: Hands-on experience with SAS or R for supplementary analyses Familiarity with model-risk management frameworks (SR 11-7/RBI MRM) Experience automating workflows via Python scripting or CI/CD If Interested, kindly share your resume on my email ID - simran.salhotra@portraypeople.com
Posted 1 month ago
6.0 - 11.0 years
7 - 10 Lacs
Noida, New Delhi, Delhi / NCR
Work from Office
Job Title: Senior Executive Business Analyst Location: Noida Experience: Minimum 6 Years Shift Timing: 8:00 AM 5:00 PM Key Responsibilities: Develop Reporting Suites: Build and maintain standardized and customized reporting frameworks aligned with business goals and client needs. Standardize Reporting Formats: Define consistent metrics, data sources, and visualization styles across brands. Customize Reports: Collaborate with stakeholders to deliver tailored reports that support decision-making. Establish Reporting Infrastructure: Implement tools and platforms for self-service reporting and data access. Ensure Data Accuracy: Develop validation and QA processes to maintain data integrity. Cross-functional Collaboration: Work with marketing, sales, analytics, and IT to streamline data inputs and reporting workflows. User Support & Training: Provide training and ongoing support to users for effective utilization of reporting tools. Monitor & Optimize Performance: Track usage and feedback to enhance report quality and relevance. Upgrade Reporting Tools: Identify and implement improvements in reporting platforms and technologies. Client Reporting Standards: Create standardized, visually impactful reports capturing key metrics across all brands. Drive Innovation: Promote new ideas, explore advanced visualization methods, and adopt emerging technologies. Data Analysis & Insights: Translate data into actionable insights to support strategic business decisions. Ensure Compliance: Align reporting practices with ISO standards and health, safety, and environmental guidelines. Qualifications: Bachelors degree in Business Administration, Data Analytics, Computer Science, or a related field. Minimum 6 years of experience in constructing and managing reporting suites, preferably in a multi-brand or agency environment. Proficiency in reporting and data visualization tools such as Tableau, Power BI, or equivalent. Strong understanding of data structures, data governance, and data quality management. Excellent analytical, problem-solving, and communication skills. Ability to manage multiple stakeholders and deliver accurate, timely reports in a fast-paced environment. Interested candidates share their updated resumes at pooja.thapa@manpowergroup.com.
Posted 1 month ago
5.0 - 10.0 years
4 - 7 Lacs
Kolkata, Mumbai, New Delhi
Work from Office
Data Science (Python + Statistics.) Key Responsibilities Designing and Executing Rigorous Statistical Tests: This responsibility entails the foundational work of ensuring that any observed relationship between variables is not merely due to chance. The specialist will design experiments and tests to establish the likelihood that an outcome is genuinely caused by the factors under study, rather than random variability. Proactive involvement in experimental design is essential, moving beyond mere post-hoc analysis. Performing Hypothesis Testing and Statistical Inference: The specialist will be responsible for defining and testing null and alternative hypotheses to determine statistical significance. Applying Advanced Statistical Methods for Data and Model Analysis: This encompasses a broad range of techniques vital for deeply analyzing datasets and model outputs. These include probability theory, which quantifies uncertainty and aids in prediction. Various sampling methods (e.g., random, stratified, cluster) are crucial for selecting representative subsets of data, allowing for reliable inferences about larger populations. Evaluating and Recommending Appropriate ML Algorithms: The specialist will assess the suitability of various ML algorithms, including supervised learning tasks like classification, regression, and forecasting, as well as unsupervised learning methods such as clustering and dimensionality reduction, and reinforcement learning. Conducting In-depth Analysis of Algorithmic Soundness and Applicability: This involves scrutinizing the theoretical underpinnings of selected algorithms, their assumptions, and their appropriateness for the specific problem and dataset. Assessing Model Performance Metrics: The specialist will evaluate models based on a variety of metrics relevant to the task. For classification tasks, this includes accuracy, precision, recall, and F1- score; for regression, metrics such as Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE) are used. Required Qualifications Masters in a quantitative field such as Computer Science, Data Science, Engineering Statistics, Mathematics, or Machine Learning. Experience Minimum of 5+ years of progressive experience in machine learning validation, model risk management, data science, or a closely related role with a strong focus on statistical rigor and algorithmic assessment. Proven track record in successfully validating and deploying AI/ML-based solutions to solve complex business Experience with SQL for querying and managing databases. Familiarity with C++ and/or Java for performance-critical applications or integration. The ability to work across different parts of the ML stack, from data querying to model deployment and potentially low-level optimization. Machine Learning Frameworks & Tools: Experience with common ML frameworks such as TensorFlow and PyTorch. Data Analysis & Statistical Tools: Proficiency in data analysis and statistical tools, including Python/R libraries like NumPy, SciPy, Pandas, Matplotlib, and Seaborn. Data Visualization Tools: Experience with data visualization software like Looker, Looker Studio to present findings effectively. Deep understanding of machine learning algorithms, their underlying principles, and performance metrics. Strong knowledge of statistical analysis, modeling techniques, and hypothesis testing. Familiarity with advanced statistical modeling techniques such as Bayesian Inference and Variational Inference, and their integration with AI models. The mention of these advanced techniques suggests a need for cutting-edge statistical knowledge that goes beyond traditional frequentist methods. This indicates a role that is expected to contribute to the advancement of validation methodologies, not just their application.
Posted 1 month ago
1.0 - 4.0 years
8 - 11 Lacs
Hyderabad, Pune, Bengaluru
Work from Office
At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities,collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow.Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role In this role you will play a key role in We are seeking an exceptional Data Scientist with specialized expertise in developing multi-agent AI systems. In this role, you will design, implement, and optimize complex AI ecosystems where multiple intelligent agents collaborate to solve sophisticated problems. You will leverage your deep understanding of generative AI, retrieval-augmented generation (RAG), and prompt engineering to create cutting-edge solutions that push the boundaries of artificial intelligence. Your Profile Design and develop generative AI-based multi-agent systems that can collaborate, communicate, and coordinate to achieve complex objective Architect and implement RAG-based chatbot solutions that effectively leverage knowledge bases and external data sources Create sophisticated prompt engineering strategies to optimize AI agent behavior and inter-agent communication Build, train, and fine-tune generative AI models for various applications within multi-agent systems. Develop robust evaluation frameworks to measure and improve multi-agent system performance What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI.
Posted 1 month ago
2.0 - 5.0 years
25 - 30 Lacs
Siliguri
Work from Office
Admini Boosting Productivity is looking for Data Scientist to join our dynamic team and embark on a rewarding career journey Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams
Posted 1 month ago
0.0 - 2.0 years
3 - 7 Lacs
Mumbai, Bengaluru, Delhi / NCR
Work from Office
Expected Notice Period: 30 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Remote What do you need for this opportunity Must have skills required: Start-up Experience, Python, Ml frameworks, Statistical analysis, CNNs, Machine Learning, Computer Vision, AI models Leegality is Looking for: What you'll do As an ML Engineer, you will develop solutions to interesting technical problems, explore exciting growth opportunities, and have a real impact on our product. To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software. Responsibilities: Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Transforming data science prototypes and applying appropriate ML algorithms and tools. Solving complex problems with multi-layered data sets and optimizing existing machine learning libraries and frameworks. Developing ML algorithms to analyze huge volumes of historical data to make predictions. Running tests, performing statistical analysis, and interpreting test results. Exposure to generative AI (LLM) based ML architectures Experienced in working with CNN. Knows how to train and fine-tune CNN-based models. Documenting machine learning processes. Requirements: 1+ years of relevant experience in Machine Learning Engineering. Advanced proficiency with Python. Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. Superb analytical and problem-solving abilities. Great communication and collaboration skills. Preferences: Start-up experience is good to have. Willing to join immediately, ideally. Female candidates are preferred Interview Process - Technical Round 1 - ML Fundamentals, NLP models Assessment Technical Round 2 - Discussion on the assignment submitted modify it according to the requirements Round 3 - with the Tech Lead - Tech Managerial - Past projects in-depth knowledge of ML
Posted 1 month ago
2.0 - 7.0 years
20 - 35 Lacs
Pune, Gurugram, Bengaluru
Hybrid
Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.
Posted 1 month ago
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