1576 Predictive Modeling Jobs - Page 27

Role & responsibilities We are seeking a talented and self-motivated Data Science and Analytics Individual Contributor to join our Vehicle Technology team. This role is perfect for a highly skilled professional who excels in data science, data visualization, Python programming, and the creation of data pipelines for ETL (Extract, Transform, Load) processes. The individual in this position will play a pivotal role in shaping our data-driven decision-making processes and contributing to the success of the company. 1. Data Analysis and Exploration: Conduct thorough data analysis to uncover actionable insights and trends. Collaborate with cross-functional teams to define data requirements and extract relevant data. 2. Data Visualization: Create visually compelling and informative data visualizations using tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn). Develop interactive dashboards to present insights in an accessible and understandable manner. 3. Machine Learning and Predictive Modeling: Build, validate, and deploy machine learning models to solve business problems and predict outcomes. Optimize and fine-tune models for accuracy and efficiency. 4. Python Programming: Develop and maintain Python scripts and applications for data analysis and modeling. Write clean, efficient, and well-documented code for data manipulation and analytics. 5. ETL Pipeline Creation: Design and implement ETL pipelines to extract, transform, and load data from various sources into data warehouses. Ensure data quality, consistency, and accuracy within ETL processes. Enforce data governance best practices to maintain data quality, security, and compliance with industry regulations. Collaborate with IT and Data Engineering teams to optimize data storage and access. Work closely with cross-functional teams to understand business requirements and provide data-driven solutions. Effectively communicate findings and insights to both technical and non-technical stakeholders. Preferred candidate profile Proven experience in data science, data analysis, and predictive modeling. Proficiency in Python programming, data manipulation, and relevant libraries. Strong experience with data visualization tools (We prefer Power BI). Knowledge of ETL processes and pipeline creation. Familiarity with machine learning techniques and frameworks. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Experience with SQL and database management. Knowledge of CANBus protocol is a plus

3+ Years of experience in Data Scientists with Python, Tensorflow and Pytorch. Experience in AI techniques (e.g., machine learning, predictive analytics. optimization, semantic analysis, time-series analysis) to real-world problems

Aster Medcity is looking for Research Associate.Neurology.MIMS Hospital Calicut to join our dynamic team and embark on a rewarding career journeyAs a Research Associate, you will be responsible for conducting research and analyzing data to support various research projects.Conduct research studies and analyze data using a variety of research methods and tools.Analyze and interpret data using statistical software and other analytical tools.Prepare reports and presentations summarizing research findings and conclusions.

Looking for Siemens Eda Ambassadors: Member Of Technical Staff Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. We Are Not Looking for Superheroes, Just Super Minds Weve got quite a lot to offer. How about you? Qualifications: Youre a Graduate / Postgraduate (Bachelors/Masters) in EEE) / ECE/Computer Science (CS) from top reputed Engineering colleges with significant experience in software development. Experience in EDA will be a great plus. Your sound understanding of C/C++ languages, design patterns along with data structure and algorithms will be key to development of software. Your good knowledge of Graph will enhance the development time. Must have ability to understand complex products, solutions, and problems Self-motivated, self-discipline, with high integrity Team person who is easy to talk to This role is in Noida, where youll get the chance to work with teams impacting entire cities, countries and the craft of things to come. This is dynamic environment where the learning curve is very high.

We are looking for a highly skilled and experienced BA / Data Analyst to join our team in Hybrid-Bangalore or Chennai. The ideal candidate will have 7 to 10 years of hands-on experience in Data Analysis, Python, and Excel. Roles and Responsibility Analyze complex data sets to identify trends and patterns. Develop and maintain databases and data systems for business intelligence. Create reports and dashboards using Python and Excel. Collaborate with cross-functional teams to drive business growth. Design and implement data analysis solutions to meet business needs. Ensure data quality and integrity by implementing data validation checks. Job Strong proficiency in Python programming language. Experience with Excel and data analysis tools. Excellent problem-solving skills and attention to detail. Ability to work in a fast-paced environment and meet deadlines. Strong communication and collaboration skills. Ability to analyze large datasets and extract insights. A graduate degree is required for this position. About Company Apptad Technologies Pvt Ltd. is an employment firm that provides recruitment services to various industries. We are committed to providing high-quality services to our clients and candidates. The selected candidate will be working on a contractual basis for the first 6 months.

We are looking for a skilled Data Analyst with 4 to 8 years of experience to join our team in Gurugram. The role involves analyzing data, creating data models, and communicating insights to stakeholders. Roles and Responsibility Analyze complex data sets to identify trends and patterns. Develop and maintain databases and data systems for data storage and management. Create data models to support decision-making processes. Communicate insights and findings to stakeholders through reports and presentations. Collaborate with cross-functional teams to drive business growth. Utilize analytical skills, data analytics, statistics, and data modeling daily. Job Strong proficiency in Python, PySpark, and SQL. Experience with data modeling and analysis. Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Excellent communication and interpersonal skills. Ability to work in a fast-paced environment and meet deadlines. Strong problem-solving skills and attention to detail.

We are looking for a highly skilled and experienced Senior Analyst to join our team at eClerx Services Ltd. The ideal candidate will have a strong background in IT Services & Consulting, with excellent analytical and problem-solving skills. Roles and Responsibility Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain complex data models and reports using various tools and technologies. Analyze large datasets to extract insights and trends, and provide recommendations to stakeholders. Design and implement process improvements to increase efficiency and productivity. Work closely with clients to understand their needs and provide tailored solutions. Stay up-to-date with industry trends and emerging technologies to continuously improve skills and knowledge. Job Requirements Strong understanding of IT Services & Consulting principles and practices. Excellent analytical and problem-solving skills, with the ability to think critically and creatively. Proficient in data analysis and reporting tools, such as Excel or SQL. Strong communication and interpersonal skills, with the ability to work effectively with clients and teams. Ability to work in a fast-paced environment and meet deadlines. Strong attention to detail and organizational skills, with the ability to prioritize tasks and manage multiple projects simultaneously.

We are looking for a skilled Senior Analyst to join our team at eClerx Services Ltd., with 6-10 years of experience in the IT Services & Consulting industry. Roles and Responsibility Collaborate with cross-functional teams to analyze complex data sets and provide actionable insights. Develop and implement process improvements to increase efficiency and productivity. Conduct thorough analysis of market trends and competitor activity to identify opportunities for growth. Provide expert guidance on analytical tools and methodologies to junior team members. Develop and maintain databases and data systems to support business intelligence initiatives. Communicate findings and recommendations to senior management through clear and concise reports. Job Requirements Strong understanding of analytical principles and practices, including statistical modeling and machine learning. Experience with large datasets and advanced analytics tools such as SAS or R. Excellent communication and problem-solving skills, with the ability to work effectively in a team environment. Ability to prioritize multiple projects and meet deadlines in a fast-paced environment. Strong attention to detail and ability to interpret complex data sets. Experience working with IT Services & Consulting firms, focusing on business intelligence and analytics.

Key deliverables : • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. • Assess the effectiveness and accuracy of new data sources and data gathering techniques. • Develop custom data models and algorithms to apply to data sets. • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. • Coordinate with different functional teams to implement models and monitor outcomes. • Develop processes and tools to monitor and analyze model performance and data accuracy. • Generate both periodic and ad hoc reports as needed. • Experience in Credit Analyst Educational Qualifications : The candidate should have a Post-Graduate/MBA degree with specialization in any stream; Or a Graduate degree with experience in Data analyst in relevant industry. Experience : An overall experience of 4-7 years in Data Analyst in Finance, Banking, Investment Banking, Fintech, Rating Agency, NBFC industry. If you love working with people and thrive in fast-paced environments, we would like to have a conversation with you. • Excellent written, verbal, and interpersonal skills to communicate effectively. • Go-getter ability to work independently • Leadership team management skills • Attention to detail

Role & responsibilities Lead and mentor a team of data scientists and analysts to deliver high-impact projects. Campaign Optimization and continuous improvement to the campaign framework Design and implement personalized marketing campaigns using advanced data science techniques. Develop and deploy predictive models (e.g., decision trees, classification models) to optimize campaign targeting and timing. Conduct campaign funnel analysis , A/B testing, and performance evaluation to identify opportunities for improvement. Collaborate with marketing and CRM teams to translate business goals into analytical solutions. Leverage Big Data technologies (e.g., PySpark, Hadoop) to process and analyze large-scale datasets. Build and maintain robust data pipelines and ensure data quality and integrity. Present insights and recommendations to senior leadership in a clear and actionable manner. Required Skills & Qualifications: Bachelors or Masters degree in Computer Science, Statistics, Data Science, or a related field. 5+ years of experience in data science, with at least 3 years in a leadership or managerial role. Strong expertise in PySpark , SQL , and Big Data ecosystems . Proven experience in campaign analytics , including funnel analysis, segmentation, and performance measurement. Hands-on experience with machine learning techniques such as decision trees, regression, clustering, and model evaluation. Strong analytical thinking and problem-solving skills. Excellent communication and stakeholder management abilities.

Position Summary The ideal candidate will play a key role in setting up and managing our credit & Fraud risk management frameworks and strategies. They will oversee a team responsible for developing, implementing, and refining risk management rules and collection strategies to support our digital lending initiatives. This position requires strong analytical, strategic, and technical skills, as well as a deep understanding of risk management in the lending domain, specifically within NBFCs, banks, or fintech organizations. Key Responsibilities Lead, mentor, and manage a team of analysts and data scientists focused on credit risk, fraud detection, and collection strategies. Design and implement credit risk management rules and models for digital lending, ensuring robust credit risk assessment. Define risk segmentation strategies and establish differential pricing models for varying risk profiles to support profitable growth Conduct portfolio analysis to monitor and control exposure across various lending products, ensuring adherence to risk appetite limit Develop and implement fraud detection and prevention strategies using advanced analytics and machine learning techniques Create robust fraud risk management policies, incorporating rule-based and behavioral analytics to identify potential fraud patterns. Define and implement data-driven collection strategies to optimize recovery and minimize losses • Develop scorecards and segmentation models to prioritize collections efforts, customizing approaches for different customer segments. Collaborate with operations and customer service teams to ensure effective deployment of collection strategies. Use advanced analytics to continuously monitor collections performance, adjusting strategies to maximize recovery rates Develop and maintain Python-based models and scripts to automate risk and fraud analytics processes. Work closely with product, compliance, technology, and operations teams to ensure credit and fraud risk strategies align with business objectives and regulatory requirements. Collaborate with external partners and vendors, as needed, to enhance risk management capabilities. Ensure compliance with regulatory standards and best practices in risk management, credit underwriting, and collections. Core Skills & Experience Masters or Postgraduate degree in Finance, Economics, Statistics, Data Science, or a related field. Minimum of 10 years in credit risk, fraud risk management, or collections strategy within the lending industry (NBFCs, banks, fintechs), with significant experience in digital lending. Proficiency in Python for data analysis, model development, and automation of risk strategies. Familiarity with data visualization tools (e.g., Tableau, Power BI) and statistical tools (e.g., R, SAS) is a plus. In-depth understanding of credit and fraud risk management frameworks, digital lending processes, and industry best practices. Strong quantitative and analytical skills, with a demonstrated ability to interpret complex data and translate findings into actionable strategies. Excellent written and verbal communication skills to effectively present insights and strategies to technical and non-technical stakeholders. Proven experience managing and motivating a high-performing team, with a collaborative approach to cross-functional work.

Career Category Information Systems Job Description Join Amgen s Mission of Serving Patients At Amgen, if you feel like you're part of something bigger, it s because you are. Our shared mission to serve patients living with serious illnesses drives all that we'do. Since 1980, we've helped pioneer the world of biotech in our fight against the world s toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we'reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we'research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Specialist IS Bus Sys Analyst, Neural Nexus What you will do Let s do this. Let s change the world. In this vital role you will support the delivery of emerging AI/ML capabilities within Amgens Neural Nexus program. As part of the Commercial Technology Data Analytics team, you will collaborate with product owners and cross-functional partners to help design, implement, and iterate on a layered ecosystem passionate about DIAL (Data, Insights, Action, and Learning). Collaborate with the Commercial Data Analytics (CDA) team to help realize business value through the application of commercial data and emerging AI/ML technologies. Support delivery activities within the Scaled Agile Framework (SAFe), partnering with Engineering and Product Management to shape roadmaps, prioritize releases, and maintain a refined product backlog. Contribute to backlog management by helping break down Epics into Features and Sprint-ready User Stories, ensuring clear articulation of requirements and we'll-defined Acceptance Criteria and Definitions of Done. Ensure non-functional requirements are represented and prioritized within the backlog to maintain performance, scalability, and compliance standards. Collaborate with UX to align technical requirements, business processes, and scenarios with user-centered design. Assist in the development and delivery of engaging product demonstrations for internal and external partners. Support documentation efforts to maintain accurate records of system configurations, processes, and enhancements. Contribute to the launch and growth of Neural Nexus product teams focused on data connectivity, predictive modeling, and fast-cycle value delivery for commercial teams. Provide input for governance discussions and help prepare materials to support executive alignment on technology strategy and investment. What we expect of you We are all different, yet we all use our unique contributions to serve patients. We are seeking a highly skilled and experienced Specialist IS Business Analyst with a passion for innovation and a collaborative working style that partners effectively with business and technology leaders with these qualifications. Basic Qualifications: Doctorate degree / Masters degree / Bachelors degree with 8 to 13 years of experience in Information Systems Experience with writing user requirements and acceptance criteria Affinity to work in a DevOps environment and Agile mind set Ability to work in a team environment, effectively interacting with others Ability to meet deadlines and schedules and be accountable Must-Have Skills Excellent problem-solving skills and a passion for solving complex challenges in for AI-driven technologies Experience with Agile software development methodologies (Scrum) Superb communication skills and the ability to work with senior leadership with confidence and clarity Has experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA Experience in managing product features for PI planning and developing product roadmaps and user journeys Good-to-Have Skills: Demonstrated expertise in data and analytics and related technology concepts Understanding of data and analytics software systems strategy, governance, and infrastructure Familiarity with low-code, no-code test automation software Technical thought leadership Able to communicate technical or complex subject matters in business terms Jira Align experience Experience of DevOps, Continuous Integration, and Continuous Delivery methodology Soft Skills: Able to work under minimal supervision Excellent analytical and gap/fit assessment skills Strong verbal and written communication skills Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills Technical Skills: Experience with cloud-based data technologies (e. g. , Databricks, Redshift, S3 buckets) AWS (similar cloud-based platforms) Experience with design patterns, data structures, test-driven development Knowledge of NLP techniques for text analysis and sentiment analysis What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and we'll-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers. amgen. com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. .

The Mastercard Economics Institute (MEI) is an economics lab powering scale at Mastercard by owning economic thought leadership in support of Mastercard s efforts to build a more inclusive and sustainable digital economy MEI was launched in 2020 to analyze economic trends through the lens of the consumer to deliver tailored and actionable insights on economic issues for customers, partners and policymakers The Institute is composed of a team of economists and data scientists that utilize & synthesize the anonymized and aggregated data from the Mastercard network together with public data to bring powerful insights to life, in the form of 1:1 presentation, global thought leadership, media participation, and commercial work through the company s product suites About the Role We are looking for an economic analyst to engage in on-soil data analytics and economic research for the European region. This individual will report to the Manager, Economist, U.S., and will have the following responsibilities: Support client and stakeholder engagements for MEI across U.S. Support collaboration with external clients, academic institutions, and industry partners. Develop and test hypotheses at the intersection of economics and retail and commerce. Assist in structuring work at the stream or small project level. Identify creative analyses and develop proprietary diagnostic indices by analyzing large and complex datasets, including big data and macroeconomic data Generate initial insights to help create effective, impactful, and quality-assured storylines and visuals at the stream or small project level. Synthesize analyses into clear, sound recommendations. Outline and help write reports and draft client presentations at the work stream or project level. Enhance existing products and partner with internal stakeholders to create new solutions. Proactively seek new knowledge and structure project work to facilitate the capture of intellectual capital with minimal oversight Actively participate in new solution development and support thought leadership activities by building knowledge, know-how, and best practices related to R&C economic research; share and leverage to continuously improve quality and productivity. All About You Bachelors degree in Economics (preferred), Statistics, or Mathematics. Proficiency in SQL and data visualizations Ability to think critically and problem solve, willingness to learn Excellent communication Expertise in R, Python, or other major programming language is essential Experience using data visualization tools like Tableau / Power BI. Knowledge of JavaScript for visualization is a plus. Proficiency in key econometric and statistical techniques such as predictive modeling, logistic regression, survival analysis, time series modeling, design of experiments, decision trees, and data mining methods desirable

aganitha cognitive solutions is looking for Scientist (Computational Chemistry / Data Science and AI) to join our dynamic team and embark on a rewarding career journey Conduct innovative research and experiments to develop new knowledge, products, or technologies within a specialized scientific field Design, plan, and execute scientific studies while ensuring compliance with safety and ethical standards Collect, analyze, and interpret data using advanced tools and methodologies to draw valid conclusions Prepare detailed technical reports, research papers, and documentation for internal use and external publication Collaborate with cross-functional teams, including engineers, analysts, and other scientists, to achieve project goals

Requin Group 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

" Jubilant Bhartia Group Jubilant Bhartia Group is a global conglomerate founded by Mr. Shyam S Bhartia and Mr. Hari S Bhartia with strong presence in diverse sectors like Pharmaceuticals, Contract Research and Development Services, Proprietary Novel Drugs, Life Science Ingredients, Agri Products, Performance Polymers, Food Service (QSR), Food, Auto, Consulting in Aerospace and Oilfield Services. Jubilant Bhartia Group has four flagships Companies- Jubilant Pharmova Limited, Jubilant Ingrevia Limited, Jubilant FoodWorks Limited and Jubilant Industries Limited. Currently the group has a global workforce of around 43,000 employees. Jubilant Pharmova Limited Jubilant Pharmova Limited (formerly Jubilant Life Sciences Limited) is a company with global presence that is involved in Radiopharma, Allergy Immunotherapy, CDMO Sterile Injectables, Contract Research Development and Manufacturing Organisation (CRDMO), Generics and Proprietary Novel Drugs businesses . In the Radiopharma business , the Company is involved in manufacturing and supply of Radiopharmaceuticals with a network of 46 radio-pharmacies in the US. The Company s Allergy Immunotherapy business is involved in the manufacturing and supply of allergic extracts and venom products in the US and in some other markets such as Canada, Europe and Australia. Jubilant through its CDMO Sterile Injectables business offers manufacturing services including sterile fill and finish injectables (both liquid and lyophilization), full-service ophthalmic offer (liquids, ointments & creams) and ampoules. The CRDMO business of the Company includes the Drug Discovery Services business that provides contract research and development services through two world-class research centres in Bangalore and Noida in India and the CDMO-API business that is involved in the manufacturing of Active Pharmaceutical Ingredients. Jubilant Therapeutics is involved in Proprietary Novel Drugs business and is an innovative biopharmaceutical company developing breakthrough therapies in the area of oncology and autoimmune disorders. The company operates six manufacturing facilities that cater to all the regulated market including USA, Europe and other geographies. Find out more about us at www.jubilantpharmova.com The Position Organization : - Jubilant Pharmova Limited Designation : - Sr. Engineer - Artificial Intelligence Location : - Greater Noida Job Summary: - The incumbent will Work on real-world projects, helping design, develop, and deploy AI models and data-driven solutions. You will play a crucial role in helping businesses make informed decisions by collaborating with stakeholders, designing data models, creating algorithms, and sharing meaningful insights to drive use case success. Key Responsibilities AI Solution Development : Design, train, fine-tune, and evaluate generative models (e.g., GPT, LLaMA, Stable Diffusion, DALL E, etc.), Collaborate with cross-functional teams including product, research, and engineering to integrate GenAI capabilities into products. Develop a platform approach, optimize models for performance, latency, and cost in production environments Model Integration : Integrate foundational models and retrieval-augmented generation (RAG) techniques Backend Development : Implement backend services and API endpoints to support AI solutions. Frontend Integration : Develop or adapt frontend interfaces for user interaction. Mentor junior engineers and contribute to best practices in model development and deployment. Ensure ethical and responsible AI practices in model design and usage Person Profile Qualification: - Bachelor s or Master s degree in Computer Science, Machine Learning, Mathematics / Statistics or related field Experience/Must Have :- 3 -5+ years of experience in machine learning, with at least 2 years focused on generative AI. Preferably with GenAI use cases in Chemical, Pharma, or Manufacturing industries. We are looking for a highly agile individuals who would like to make an impact in a global set up. Proficiency in Python for data handling and AI-related scripting. Familiarity with data pipeline development, ETL processes, and data preprocessing techniques. Knowledge of testing frameworks and tools to ensure model robustness, as well as experience with automated testing for QA processes. Familiarity with Retrieval-Augmented Generation techniques and their applications. Knowledge of prompt engineering techniques to optimize generative AI models for specific tasks and enhance output relevance. Experience in predictive modeling areas, such as traditional supervised and unsupervised learning, Basic familiarity with foundational generative AI models and Natural Language Processing (NLP) Jubilant is an equal opportunity employer. ",

Being part of and contributing to a large, vibrant community Understanding problems and designing solutions for the P&C Insurance industry. Applying a variety of analytic methodologies including Predictive Modeling, Machine Learning, Forecasting, Network Analytics, Natural Language Processing, Computer Vision, Voice and Speech Analytics, and Generative AI to develop solutions to those business problems Working with a diverse set of extremely rich datasets such as 19 billion detailed records of insurance premiums collected and losses paid, or 90%+ of Insurance Claims in the US Seeing your work result in new products, product enhancements, consulting revenue, or internal process improvements on a regular basis Working with cutting-edge technology, and continuously developing new skills and capabilities. A degree in a quantitative field with relevant experience: Bachelors (3-5 years) or Masters (1-2 years), or PhD (0-2 years). Strong programming skills, particularly in R and Python. Extensive experience in one or more of the following skills is essential: Predictive Modeling, Entity Resolution, NLP, and Generative AI. Experience in any of the following skills is a plus: Big Data Platforms, Time-Series Forecasting, Graph Databases, Network Analytics, Neural Networks, Computer Vision, and ASR (Automated Speech Recognition). Familiarity with SQL or NoSQL (eg, Hadoop, HBase, MongoDB and/or Neo4j) databases. Domain knowledge in the insurance industry is an added advantage. Ability to solve problems analytically and creatively. Strong communication (written and oral) skills. The development and timely delivery of analytic solutions that meet business requirements around accuracy, sophistication, and interpretability. Develop analytic solutions using machine learning techniques including Predictive Modeling, Text Mining, Entity Resolution, Time-series Forecasting, Network Analytics, Computer Vision, Automated Speech Recognition, and Generative AI. Ensure that solutions meet business requirements around accuracy, sophistication, and interpretability. Ensure that solution is delivered in a timely manner. The incorporation of technical innovations and new developments in relevant analytic fields Keep abreast of technical innovations and new developments in relevant analytic fields The development of analytic interns that you are responsible for Identify training opportunities and project opportunities that can help develop the analytic interns you are responsible for The sharing of important methodologies, advances, and best practices from your work among the whole analytic community Help organize these forums for developing Verisk s analytic community Share important methodologies, advances, and best practices from your work among the whole analytic community via these forums. Success Criteria: Measurable contribution to products and processes in terms of new products developed, enhanced products, direct revenue supported, cost savings etc Positive feedback on the support received from business partners Advancement of analytic interns that you are responsible for Positive feedback from analytic interns that you are responsible for Positive feedback from team members and leaders of the Verisk analytic community

Data Scientist Back to job search results Tesco India Bengaluru Hybrid Full-Time Permanent Apply by 21-Jul-2025 About the role Job Description At Tesco; our Data Science team focuses on modelling complex business problems and deploying data products at scale. Our work spans across multiple areas including physical stores; online; supply chain; marketing and Clubcard; where we encourage rotation amongst our Data Scientists so they can gain expertise in different subjects. We work on several domains and problem types: online; pricing; security; fulfilment; distribution; property; IoT and computer vision are just some. Our team members spend 10% of their week on learning and personal development. Multiple academic collaborations enrich the team expertise; knowledge sharing events are regular. Furthermore; we have a great work-life balance; team days and relaxed but engaging culture. ROLE DESCRIPTION This is a hands-on position where you will need to leverage your analytical mindset to find solutions to complex problems. As a Data Scientist; you will need to understand difficult business problems and prototype solutions with minimal support. Apply; modify and design algorithms and mathematical models to solve business problems on top of big data architectures (Hadoop; Spark) is a core component of the role. Our data scientists will need to be able to validate; document and present the modeling process and performances; as well as communicate complex solutions in a clear; understandable way to non-experts. Data Scientists are also responsible for promoting data science across Tesco and promote Tesco across the external Data Science community. CANDIDATE DESCRIPTION We are looking for ambitious individuals with a mix of statistics; programming; and machine learning skills. The role requires that you have an extensive background in machine learning and data mining. A track record in modifying and designing advanced algorithms and applying them to large data sets is essential. An ideal candidate will have a scientific mentality with the ability to ask the right questions; as well as answer them. A strong numerical higher degree in a mathematical; scientific; engineering or computer science discipline is preferable; as well as a solid understanding of mathematics and statistical principles. Experience in one or more of the following fields is required: predictive modelling; operational research; deep learning; and time series modelling. Finally; strong programming experience (Python is preferred). What is in it for you Job Description At Tesco; our Data Science team focuses on modelling complex business problems and deploying data products at scale. Our work spans across multiple areas including physical stores; online; supply chain; marketing and Clubcard; where we encourage rotation amongst our Data Scientists so they can gain expertise in different subjects. We work on several domains and problem types: online; pricing; security; fulfilment; distribution; property; IoT and computer vision are just some. Our team members spend 10% of their week on learning and personal development. Multiple academic collaborations enrich the team expertise; knowledge sharing events are regular. Furthermore; we have a great work-life balance; team days and relaxed but engaging culture. ROLE DESCRIPTION This is a hands-on position where you will need to leverage your analytical mindset to find solutions to complex problems. As a Data Scientist; you will need to understand difficult business problems and prototype solutions with minimal support. Apply; modify and design algorithms and mathematical models to solve business problems on top of big data architectures (Hadoop; Spark) is a core component of the role. Our data scientists will need to be able to validate; document and present the modeling process and performances; as well as communicate complex solutions in a clear; understandable way to non-experts. Data Scientists are also responsible for promoting data science across Tesco and promote Tesco across the external Data Science community. CANDIDATE DESCRIPTION We are looking for ambitious individuals with a mix of statistics; programming; and machine learning skills. The role requires that you have an extensive background in machine learning and data mining. A track record in modifying and designing advanced algorithms and applying them to large data sets is essential. An ideal candidate will have a scientific mentality with the ability to ask the right questions; as well as answer them. A strong numerical higher degree in a mathematical; scientific; engineering or computer science discipline is preferable; as well as a solid understanding of mathematics and statistical principles. Experience in one or more of the following fields is required: predictive modelling; operational research; deep learning; and time series modelling. Finally; strong programming experience (Python is preferred). You will be responsible for Please refer "You will be responsible for " You will need Job Description At Tesco; our Data Science team focuses on modelling complex business problems and deploying data products at scale. Our work spans across multiple areas including physical stores; online; supply chain; marketing and Clubcard; where we encourage rotation amongst our Data Scientists so they can gain expertise in different subjects. We work on several domains and problem types: online; pricing; security; fulfilment; distribution; property; IoT and computer vision are just some. Our team members spend 10% of their week on learning and personal development. Multiple academic collaborations enrich the team expertise; knowledge sharing events are regular. Furthermore; we have a great work-life balance; team days and relaxed but engaging culture. ROLE DESCRIPTION This is a hands-on position where you will need to leverage your analytical mindset to find solutions to complex problems. As a Data Scientist; you will need to understand difficult business problems and prototype solutions with minimal support. Apply; modify and design algorithms and mathematical models to solve business problems on top of big data architectures (Hadoop; Spark) is a core component of the role. Our data scientists will need to be able to validate; document and present the modeling process and performances; as well as communicate complex solutions in a clear; understandable way to non-experts. Data Scientists are also responsible for promoting data science across Tesco and promote Tesco across the external Data Science community. CANDIDATE DESCRIPTION We are looking for ambitious individuals with a mix of statistics; programming; and machine learning skills. The role requires that you have an extensive background in machine learning and data mining. A track record in modifying and designing advanced algorithms and applying them to large data sets is essential. An ideal candidate will have a scientific mentality with the ability to ask the right questions; as well as answer them. A strong numerical higher degree in a mathematical; scientific; engineering or computer science discipline is preferable; as well as a solid understanding of mathematics and statistical principles. Experience in one or more of the following fields is required: predictive modelling; operational research; deep learning; and time series modelling. Finally; strong programming experience (Python is preferred). About us As one of the world s largest retailers and the largest private employer in the United Kingdom (second largest after the UK government) Tesco serves millions of customers a week in our stores and online portal. Tesco Bengaluru is the only international technology and retail operations centre for Tesco worldwide - we make the Tesco experience better for millions of our customers and simpler for over 4,60,000 colleagues around the world. Established in 2004, Tesco Bengaluru is pivotal to Tesco, and we enable its business with our expertise in technology, business operations, property, finance and commercial services. Apply

Roles and Responsibilities Analyse risks and approve or reject loan requests Prepared CAM(Credit Appraisal Memo) Analysed for Credit History Knowledge of Technical and Legal report Calculate financial ratios (e.g. credit scores and interest rates) Sanction TVR Desired Candidate Profile Hindsight Visit in Field Personal Discussion(PD) on Tele/Video/Physical Audit Clearance To process files for Disbursement credit manager is responsible for the entire credit granting process. Disbursement process in LMS.

Building and maintaining systems for extracting, pre- processing and modelling for different data streams, as well as integrating data across different sources. Expertise in visualizations and data analysis. Creating predictive and prescriptive models that could have a positive impact on the business. Integrating data engineering and modelling algorithms/techniques and solutions into the backend systems Develop model monitoring infrastructure for periodic monitoring and upgradation of data science strategies and models Building & implementing state-of-the-art deep learning models. Working with various stakeholders to identify and capitalize on opportunities to leverage data to drive business solutions. R Programming / Python Scripting / SQL; Experience in Finance, R-Studio/Shiny. Experience 5 - 7 Years . Industry IT Software - Application Programming / Maintenance Qualification B.E Key Skills Data Analyst R Programming Python R Programmer

This role involves the development and application of engineering practice and knowledge in defining, configuring and deploying industrial digital technologies including but not limited to PLM MES for managing continuity of information across the engineering enterprise, including design, industrialization, manufacturing supply chain, and for managing the manufacturing data. - Grade Specific Focus on Digital Continuity Manufacturing. Develops competency in own area of expertise. Shares expertise and provides guidance and support to others. Interprets clients needs. Completes own role independently or with minimum supervision. Identifies problems and relevant issues in straight forward situations and generates solutions. Contributes in teamwork and interacts with customers.

This role involves the development and application of engineering practice and knowledge in defining, configuring and deploying industrial digital technologies including but not limited to PLM MES for managing continuity of information across the engineering enterprise, including design, industrialization, manufacturing supply chain, and for managing the manufacturing data. - Grade Specific Focus on Digital Continuity Manufacturing. Fully competent in own area. Acts as a key contributor in a more complex critical environment. Proactively acts to understand and anticipates client needs. Manages costs and profitability for a work area. Manages own agenda to meet agreed targets. Develop plans for projects in own area. Looks beyond the immediate problem to the wider implications. Acts as a facilitator, coach and moves teams forward.

This role involves the development and application of engineering practice and knowledge in defining, configuring and deploying industrial digital technologies including but not limited to PLM MES for managing continuity of information across the engineering enterprise, including design, industrialization, manufacturing supply chain, and for managing the manufacturing data. - Grade Specific Focus on Digital Continuity Manufacturing. Fully competent in own area. Acts as a key contributor in a more complex critical environment. Proactively acts to understand and anticipates client needs. Manages costs and profitability for a work area. Manages own agenda to meet agreed targets. Develop plans for projects in own area. Looks beyond the immediate problem to the wider implications. Acts as a facilitator, coach and moves teams forward.

Project Role : Application Tech Support Practitioner Project Role Description : Act as the ongoing interface between the client and the system or application. Dedicated to quality, using exceptional communication skills to keep our world class systems running. Can accurately define a client issue and can interpret and design a resolution based on deep product knowledge. Must have skills : Microsoft SQL Server Administration Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Tech Support Practitioner, you will serve as the vital link between clients and the systems or applications they utilize. Your day will involve engaging with clients to understand their needs, troubleshooting issues, and ensuring that our systems operate seamlessly. You will leverage your exceptional communication skills to provide high-quality support, ensuring that client concerns are addressed promptly and effectively. Your role will also require you to interpret complex client issues and design tailored resolutions based on your extensive product knowledge, contributing to the overall success of our operations and client satisfaction. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate training sessions for junior team members to enhance their skills and knowledge.- Monitor and evaluate team performance to ensure alignment with organizational goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft SQL Server Administration.- Strong understanding of database management and optimization techniques.- Experience with backup and recovery strategies for SQL Server databases.- Familiarity with performance tuning and troubleshooting SQL queries.- Knowledge of security best practices for SQL Server environments. Additional Information:- The candidate should have minimum 5 years of experience in Microsoft SQL Server Administration.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Tech Support Practitioner Project Role Description : Act as the ongoing interface between the client and the system or application. Dedicated to quality, using exceptional communication skills to keep our world class systems running. Can accurately define a client issue and can interpret and design a resolution based on deep product knowledge. Must have skills : Microsoft SQL Server Administration Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Tech Support Practitioner, you will serve as a vital link between clients and the systems or applications they utilize. Your typical day will involve engaging with clients to understand their needs, addressing any issues they encounter, and ensuring that our systems operate seamlessly. You will leverage your exceptional communication skills to provide high-quality support, ensuring that client concerns are resolved efficiently and effectively. Your role will require a deep understanding of the product to design appropriate solutions, contributing to the overall success of our operations and client satisfaction. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the development and implementation of support processes to enhance service delivery.- Provide training and guidance to junior team members to foster their professional growth. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft SQL Server Administration.- Strong understanding of database management and optimization techniques.- Experience with backup and recovery strategies for SQL Server databases.- Familiarity with performance tuning and troubleshooting SQL queries.- Knowledge of security best practices for SQL Server environments. Additional Information:- The candidate should have minimum 3 years of experience in Microsoft SQL Server Administration.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education