Data Science Internship at bbsAIFull-time | Mumbai On-site | Immediate Joining Company DescriptionbbsAI is an Indian AI start-up based in Mumbai, specializing in intelligent process automation, with multi-lingual capabilities. The company offers innovative automation solutions that have been successfully implemented in the insurance industry, empowering clients to optimize resource utilization and enhance productivity. Role OverviewWe're offering a 3-month paid internship program for graduates in Data Science and Machine Learning. Strong Python coding skills are a must. This is a full-time, on-site position at our Mumbai office, with the opportunity for permanent employment based on performance. Key Details:<ul><li>Location: Mumbai Office (Full-time, on-site attendance mandatory)</li><li>Duration: 3 months</li><li>Joining: Immediate (Must be able to start within 1 week of selection)</li><li>Outcome: Possibility of full-time role upon successful completion</li></ul> Technical Requirements:<ul><li>Strong Python programming skills</li><li>Natural Language Processing (NLP) and NLTK exposure</li><li>Computer Vision and OCR exposure</li><li>Machine Learning fundamentals</li><li>Data preprocessing and analysis skills</li></ul> Eligibility:<ul><li>BSc in Mathematics/Physics with MSc in Data Science </li><li>Previous internship experience in data science/ML</li><li>Must be available for immediate joining</li><li>Must be able to work full-time from Mumbai office</li></ul>

Our Client is a VC-backed AI-driven Customer Success Management Platform. We are an AI SaaS company headquartered in Amsterdam, serving clients worldwide. In partnership with hard.coded, a leader in software development, we are a group of talented, ambitious, and like-minded individuals eagerly building an innovative company. We have fun while shaping the next big thing! We’re looking for a Senior Data Scientist to join our product team. You'll be working on our core product, developing advanced solutions that enhance our customers' experience. As part of our team, you’ll collaborate closely with designers, engineers, and stakeholders to create high-quality, data-driven products. About the Role: We are looking for a passionate and experienced Senior Data Scientist to join our innovative team. In this role, you will lead and shape data-driven initiatives, working closely with clients to apply cutting-edge techniques in Data Science, Econometrics, Artificial Intelligence (AI), and Machine Learning (ML). Your primary focus will be to solve complex, real-world business challenges, including churn analytics, predictive modeling, and customer segmentation, driving actionable insights that significantly impact business performance. Key Responsibilities: <ul><li>Client Collaboration: Work with clients to understand data needs and provide actionable insights.</li><li>Churn Analytics: Analyze customer churn patterns and develop predictive models to reduce churn.</li><li>Clustering & Segmentation: Use clustering techniques for customer/product segmentation.</li><li>Predictive Analytics: Develop models for metrics like Customer Lifetime Value (CLV) and churn.</li><li>Recommendation Systems: Build recommendation engines for products, marketing, and pricing strategies.</li><li>Data Processing: Handle Big Data, perform data cleaning, feature engineering, and prep data for analysis.</li><li>Next Best Actions: Recommend actions (e.g., campaigns, product offerings) for client growth.</li><li>Collaborative Problem Solving: Work with cross-functional teams to deliver client solutions.</li><li>Continuous Learning: Stay updated with trends in data science, ML, and AI.</li></ul> Skills & Qualifications: <ul><li>Educational Background: BSc (or equivalent) in Statistics, Econometrics, Machine Learning, AI, or related field.</li><li>Programming: Proficient in Python (Pandas, NumPy, Scikit-learn; TensorFlow/PyTorch is a plus).</li><li>Data Handling: Experience with Big Data tools (SQL, Hadoop, Spark).</li><li>Machine Learning: Knowledge of regression, classification, clustering, and forecasting techniques.</li><li>Problem Solving: Strong analytical skills with the ability to turn data into business strategies.</li><li>Communication: Ability to convey technical findings to non-technical stakeholders.</li><li>Teamwork: Collaborative mindset with the ability to work well in a team and with clients.</li></ul> Notice period - Immediate to 20 days

Vertical : Credit analytics and innovation Job PurposeLooking for exceptional Data Scientist with a proven track record of experience in Predictive analytics. Job Responsibilities(JR) : 6 – 8 Areas Actionable (4-6) · Scorecard Building and Modelling · Developing analytical models to assess risk profile of a customer / identifying cross-sell opportunities/fraud control for new and existing customers· Responsible for development and deployment of various scorecards / models for the credit risk / Retail asset products of the Bank within the specified timelines. Ensure the deployment also is line with Bank’s strategies so as to gain maximum efficiencies.· Estimate probability of default arising out of the scorecards and monitor deviation from expected default rates.· Monitor portfolio and identify pockets of opportunity for business growth and risk alerts to control NPAs. Communicate these alerts to the respective owners and follow-up for closure · Formulating data cuts and strategies to assess credit risk for new and existing customers of the Bank. Give feedback to stakeholders to improve the usage of the models · Develop novel approaches/algorithms in Risk modeling to constantly improve the operational efficacy of current models and its impact to stake holders · To adopt the latest trends wrt fintech companies by applying the best-in-class financial models, risk strategies· To work on various aspects related to automation of scorecards in Analytics domain. · Explore data available within the Banks ecosystem but not used currently to meet the above stated business objectives · Innovation · Thinking, evolving and making significant changes in the processes, techniques, methods so as to save time, energy and money.· Any other assignments depending on the needs of the organization Educational Qualifications Key Skills 1. MCA/MTech/MSc Statistics or Economics/BTech/MBA or equivalent in Computer science/Statistics or related areas with strong inclination towards machine learning algorithms is preferred · Excellent problem solving capabilities with strong fundamentals in computer science · Strong technical & analytical skills· Hands-on experience in data wrangling (ETL), feature engineering, building and deploying scalable machine learning algorithms · Strong written and verbal communication skills· Excellent knowledge of current trends in the field of machine learning/analytics field Experience Required <ul><li>Experience of 2+ years in analytics/predictive modeling/machine learning </li><li>Experience of 2+ years in Python/R in building as well as deploying scalable analytics based models</li><li>Exposure to banking preferable</li></ul> Major Stakeholders (intra team and cross functional stakeholders, who would need to be interacted with for discharging duties) · Credit Policy· Underwriting· Process· Fraud Control· Product· Credit Bureaus· Third Party Analytics Service Providers· IT · Legal· Information Security

About Mettler Toledo METTLER TOLEDO is a global leader in precision instruments and services. We are renowned for innovation and quality across laboratory, process analytics, industrial, product inspection, and retailing applications. Our sales and service network is one of the most extensive in the industry. Our products are sold in more than 140 countries, and we have a direct presence in approximately 40 countries. For more information, please visit www.mt.com. Our Opening and Your Responsibilities * Part of the Global Finance Carbonation team (Operational excellence in Finance for processes and system with a data driven approach) 	* Work closely with Team to improve their processes and systems (using diagnostic analytics, data mining, data analytics, process mining) 	* Work on data analytics, predictive analytics and AI/ML projects as defined What You Need to Succeed Educational Qualification: 	* B.E., B.Tech., BSc. (Comps/IT), MSc. (Comps/IT). Technical skills: 	* Strong Proficiency in Python and experience with NLP and Machine Learning Libraries 	* Deep Learning, LLM 	* Good analytical and problem-solving skills 	* Predictive analysis using different algorithms Our Offer to You * "One Team" that thrives on collaboration and innovation. 	* Opportunities to work with Global teams. 	* An open, fair and inclusive environment 	* Multitude of learning and growth opportunities 	* Medical insurance for you & your family, with access to Telemedicine application 	* A brand name that is identified worldwide with precision, quality, and innovation. Equal Opportunity Employment We promote equal opportunity worldwide and value diversity in our teams in terms of business background, area of expertise, gender and ethnicity. For more information on our commitment to Sustainability, Diversity and Equal Opportunity please visit us [1] here. References Visible links 1. https://www.mt.com/us/en/home/microsites/sustainability/reporting.html

JOB DESCRIPTION Summary/Objective: House of Spices (India) is seeking a Senior Data Scientist who will be a key player in driving our organization's data science initiatives, leveraging advanced analytics, machine learning, and AI technologies to generate actionable insights and support strategic decision-making. The role requires a blend of technical expertise and business acumen, with hands-on responsibilities in developing predictive models, working with large language models (LLMs), natural language processing (NLP), and generative AI. This role involves working closely with data engineers, BI developers, and business stakeholders, primarily utilizing the Microsoft Azure platform to deliver cutting-edge solutions. Essential Functions Advanced Analytics & Data Science:Lead the design, development, and deployment of advanced analytics models to solve complex business problems.Develop predictive models and machine learning algorithms to forecast trends, optimize processes, and drive business outcomes.Apply statistical techniques and data mining methods to extract meaningful insights from large datasets. Machine Learning & AI:Implement and optimize machine learning models, including supervised, unsupervised, and reinforcement learning techniques.Work with large language models (LLMs), NLP, and generative AI to develop innovative solutions, such as chatbots, recommendation engines, and automated content generation.Monitor model performance, retrain models as needed, and ensure models are scalable and production-ready. Data Strategy & Business Insights:Collaborate with business stakeholders to identify key challenges and opportunities where data science can provide impactful solutions.Translate complex data analyses into clear, actionable insights that drive strategic decisions across the organization. Azure Data Science & AI Tools:Leverage Microsoft Azure services (e.g., Azure Machine Learning, Azure Cognitive Services, Azure Databricks) to build and deploy data science solutions.Utilize Azure Data Lake, Azure Synapse Analytics, and other data services to manage and process large datasets efficiently.Stay updated with the latest advancements in Azure AI tools and integrate them into the organization’s data science practices. Collaboration & Integration:Work closely with data engineers to ensure seamless integration of data pipelines and models within the Azure ecosystem.Partner with BI developers to embed advanced analytics and predictive models into business intelligence tools. Technical Leadership & Mentorship:Provide technical guidance and mentorship to junior data scientists and analysts, fostering a culture of continuous learning and innovation.Stay current with industry trends and emerging technologies, driving the adoption of best practices within the team. Competencies <ol><li>Teamwork & Collaboration.</li><li>Communication.</li><li>Consultation. </li><li>Ethical Practice.</li><li>Relationship Management.</li><li>Analytical & Problem Solving </li><li>Attention to detail</li><li>High Quality Standards</li><li>Adaptability</li><li>Project Management</li></ol>

About the Company:Collinson is a global, privately-owned company dedicated to enhancing the travel experience for millions worldwide. With over 30 years of expertise, we help top brands like American Express, British Airways, and Sephora engage and retain high-value customers. Our innovative solutions, including the world-renowned Priority Pass, set the standard for customer loyalty in the Financial Services, Travel, and Retail sectors. With 2,000 passionate employees across 20 locations, we offer the chance to be part of a dynamic, entrepreneurial team that’s shaping the future of customer experiences worldwide. Join us and help create smarter, more rewarding journeys. About the Role:We are looking for a highly experienced Senior Data Scientist to join our growing team. In this pivotal role, you will lead complex projects, deliver innovative customer-centric data solutions, and provide hands-on execution with a strategic focus. You’ll drive team innovation, mentor junior members, and manage stakeholder relationships. Key areas include large language models (LLMs), forecasting, customer lifecycle management, and building intelligent products.Key Responsibilities:<ul><li>Design, develop, and deploy machine learning models and data-driven products.</li><li>Innovate and prototype new solutions, converting ideas into enterprise-ready applications.</li><li>Implement advanced LLMs, forecasting techniques, and customer lifecycle strategies.</li><li>Build intelligent products to enhance customer experiences and operational efficiency.</li><li>Manage AWS infrastructure and ensure scalable, cost-effective solutions.</li><li>Mentor and guide junior data scientists while managing stakeholder relationships.</li></ul>Knowledge & Skills:<ul><li>Expertise in data science techniques (data mining, statistical modeling, classification, clustering).</li><li>Strong experience in Python, R, TensorFlow, PyTorch, and SQL.</li><li>Proven ability to manage business stakeholders and translate business needs into technical solutions.</li><li>Experience with AWS technologies (S3, Redshift, SageMaker) and agile methodologies.</li></ul>Qualifications:<ul><li>Bachelor’s/Master’s degree in Data Science, Machine Learning, or a related field; Ph.D. is a plus.</li><li>5+ years of experience in machine learning and data science roles.</li><li>Strong problem-solving, communication, and collaboration skills.</li></ul>Preferred:<ul><li>Experience in forecasting, customer lifecycle management, dynamic pricing, and AWS tools like EC2, Lambda, and Kinesis.</li></ul>Join us and play a pivotal role in shaping Collinson’s data-driven future!

We have an opening for Data Scientist with a Payments Bank. Location: Mumbai Roles and Responsibilities: This position entails managing the complete delivery of machine learning models and intricate exploratory analysis across the following business functions: 1) Product & Liabilities 2) Unit Against Fraud 3) Finance 4) Channel of Distribution 5) Promotion 6) Lending, etc. • Collaborate closely with business stakeholders to comprehend their problems, offer analytical solutions, and then develop actionables to have an influence on the business. • You should have practical expertise with everything from data preparation to model deployment and impact measurement because you will be developing predictive models (up-sell/cross-sell, customer and merchant churn, retention, lookalike, renewal propensity, etc.). • Create forecasting models for important financial indicators. • Conduct simulation analysis to evaluate the effects of important business choices. • Communicate the results and insights to top management and important business stakeholders in an efficient manner. • Must be able to illustrate how the analytical solutions affect business. Requirements: • A candidate who has applied statistical methods to business problems for 5 to 9 Years. • A postgraduate degree (master's) in a quantitative discipline, such as technology, mathematics, or statistics; practical expertise using Python and R programming tools; and a working grasp of SQL are required. • Expertise in the following statistical and machine learning methods, including principal component analysis, factor analysis, support vector machines, Markov chains, decision trees, random forests, neural networks, clustering, and linear and logistic regression • Proficiency in converting analytical results into practical suggestions; experience in the banking, fintech, and consumer lending sectors If this opportunity excites you kindly connect me on anchal@thepremierconsultants.com

Looking for Statistical Specialist in Data Science Qualifications :<ul><li>Bachelor's degree or equivalent in field - Statistics, Mathematics, Computer Science, Engineering, etc</li></ul> Required Skills :<ul><li>4-8 years of proven experience as a Data Scientist, with a track record of successful project delivery and demonstrated impact on business outcomes in domains related to CPG/Tech/Healthcare.</li><li>Expertise in Python programming, including libraries such as NumPy, Pandas, scikit-learn, and others commonly used in data analysis and machine learning.</li><li>Hands-on experience developing and deploying machine learning models in real-world applications.</li><li>Experience in Statistical Modeling/analysis, regression, time series.</li><li>Querying data from structured (SQL) and unstructured data stores, advanced scripting techniques using Python, optimizing code for performance, scalability, and readability, and using statistics and machine learning.</li></ul> Problem-Solving:<ul><li>Strong problem-solving skills with a focus on finding efficient and scalable solutions.</li><li>Ability to learn new tools on the go and developing best practices is mandatory.</li></ul> Responsibilities<ul><li>Run a DS project for Supply Chain team by themselves, stakeholder engagement and translate business problem, propose solutions</li><li>Will be partnered with DEs and others, working on extensive DS solutioning approaches, Supply Chain domain knowledge is a plus</li><li>Good to have Optimization models – experience in optimization</li><li>Apply domain expertise in technology to develop data-driven solutions that address complex challenges in the industry.</li><li>Collaborate with cross-functional teams to identify business problems and opportunities where data science can provide valuable insights and solutions.</li><li>Utilize Python for data manipulation, analysis, and model development, demonstrating proficiency in creating efficient and well-documented code.</li><li>Showcase a strong portfolio of successfully deployed machine learning projects that highlight expertise in predictive modeling, classification, regression, clustering, and more.</li><li>Hands-on experience in deep learning techniques related to computer vision and/or Natural Language Processing (NLP).</li><li>Exhibit knowledge of MLOps practices, enabling smooth integration of machine learning models into production systems and maintaining their lifecycle.</li><li>Demonstrate an intermediate level of proficiency in on-prem platforms (e.g., AWS, Azure, GCP) to ensure efficient and scalable deployment of machine learning solutions.</li><li>Stay up to date with the latest advancements in data science, machine learning, and AI technologies to provide innovative insights and solutions</li><li>Carry out open-ended data mining and analysis for medium to large datasets from disparate sources</li><li>Understanding of data science model deployment techniques in containerized environments like Kubernetes</li></ul> About C5i : C5i is a pure-play AI & Analytics provider that combines the power of human perspective with AI technology to deliver trustworthy intelligence. The company drives value through a comprehensive solution set, integrating multifunctional teams that have technical and business domain expertise with a robust suite of products, solutions, and accelerators tailored for various horizontal and industry-specific use cases. At the core, C5i’s focus is to deliver business impact at speed and scale by driving adoption of AI-assisted decision-making.C5i caters to some of the world’s largest enterprises, including many Fortune 500 companies. The company’s clients span Technology, Media, and Telecom (TMT), Pharma & Lifesciences, CPG, Retail, Banking, and other sectors. C5i has been recognized by leading industry analysts like Gartner and Forrester for its Analytics and AI capabilities and proprietary AI-based platforms.

Data Scientist Jobs in Mumbai, Maharashtra

Data Scientist
November 19, 2024

Senior Data Scientist
November 14, 2024

Data Scientist
November 12, 2024

Am Data Scientist
November 10, 2024

Senior Data Scientist
November 6, 2024

Senior Data Scientist
October 24, 2024

Data Scientist With A Payments Bank
October 24, 2024

Senior Data Scientist
October 24, 2024

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Data Scientist Jobs in Mumbai, Maharashtra

Data ScientistNovember 19, 2024

Senior Data ScientistNovember 14, 2024

Data ScientistNovember 12, 2024

Am Data ScientistNovember 10, 2024

Senior Data ScientistNovember 6, 2024

Senior Data ScientistOctober 24, 2024

Data Scientist With A Payments BankOctober 24, 2024

Senior Data ScientistOctober 24, 2024

Quick filters

Top companies

Data Scientist
November 19, 2024

Senior Data Scientist
November 14, 2024

Data Scientist
November 12, 2024

Am Data Scientist
November 10, 2024

Senior Data Scientist
November 6, 2024

Senior Data Scientist
October 24, 2024

Data Scientist With A Payments Bank
October 24, 2024

Senior Data Scientist
October 24, 2024