3 Statistical Concepts Jobs nearby Thane

Job Summary: The Lead Tester for AML (Anti-Money Laundering) Model Testing is responsible for overseeing the design, execution, and management of model testing activities focused on Actimize AML systems especially Suspicious Activity Monitoring (SAM). This role ensures AML models are accurate, robust, compliant with regulatory standards (such as BSA/AML), and effectively detect suspicious activities.  Skills:   6+ years of experience in software quality assurance or testing, with at least 3+ years focused on financial     crime or AML systems.   Prior experience in performing Model testing for Actimize's Suspicious Activity Monitoring (SAM) module   Strong understanding of AML concepts, transaction monitoring, model risk management, and regulatory frameworks (e.g.,     FFIEC, OCC, FATF).   Hands-on experience testing machine learning/statistical models preferred; experience with relevant tools (e.g., SQL,       Python, SAS, R).   Solid knowledge of SDLC, model lifecycle, and testing methodologies.   Strong analytical, problem-solving, and communication skills.   Experience in leading and mentoring testing teams.  

Role Overview: You will be joining Ashapura, now part of Azelis, as a Procurement Planning Analyst based in Mumbai, India. Your main mission will be to organize demand planning, propose stock replenishment, and optimize supply chain activities within the organization. You will play a crucial role in integrating the company into the Azelis D365 Digital/IT environment. As part of a global team of over 4,200 professionals, you will work towards achieving a performance-driven supply chain culture and ensuring cost savings and efficiency. Key Responsibilities: - Establish an overview of potential risk areas and initiate required actions - Define a cost-saving potential plan and increase efficiency targets - Measure and realize cost savings - Develop and communicate Supply Chain trends and metrics - Optimize warehousing and transportation activities - Evaluate company performance measurement techniques and identify areas of improvement - Build relationships with internal and external stakeholders - Align country/regional SCM processes to Azelis best practice - Prepare monthly regional S&OP meetings - Develop accurate demand forecasts using historical data, market trends, and statistical models - Manage end-to-end demand planning process including data collection, analysis, forecasting, and validation - Harmonize forecasting process across the organization - Optimize inventory levels and balance demand forecasts with supply chain capabilities - Communicate demand and forecast to principals and issue purchase orders - Identify opportunities to enhance demand planning processes and actively contribute to process improvement initiatives - Follow up with principals on deliveries and manage logistics - Control day-to-day transactions to minimize DSO and DIV - Document processes and create standard operating procedures to support business operations - Provide feedback on system testing and process improvements - Collaborate with colleagues on Integration Project to drive process integrations and optimizations Qualifications Required: - Bachelor's degree in Science and Technology, Business, Marketing, Economics, or related field - 3-5 years of experience in market research or analysis in the specialty chemical industry - Strong analytical skills with proficiency in demand forecasting techniques - Familiarity with demand planning software and tools - Solid understanding of supply chain principles and inventory management concepts - Proficiency in Microsoft Excel and data analysis tools - Excellent communication and presentation skills - Detail-oriented with organizational and time management skills - Ability to work in a fast-paced environment and handle multiple priorities - Experience with ERP systems and demand planning modules preferred - Change management experience in Demand Planning processes Please note that the requirements of the job may evolve based on the business needs, and you will be expected to adapt to these changes. Post Merger Integration & Go-live will involve a review and alignment of main accountabilities and roles & responsibilities in collaboration with regional and local teams. Role Overview: You will be joining Ashapura, now part of Azelis, as a Procurement Planning Analyst based in Mumbai, India. Your main mission will be to organize demand planning, propose stock replenishment, and optimize supply chain activities within the organization. You will play a crucial role in integrating the company into the Azelis D365 Digital/IT environment. As part of a global team of over 4,200 professionals, you will work towards achieving a performance-driven supply chain culture and ensuring cost savings and efficiency. Key Responsibilities: - Establish an overview of potential risk areas and initiate required actions - Define a cost-saving potential plan and increase efficiency targets - Measure and realize cost savings - Develop and communicate Supply Chain trends and metrics - Optimize warehousing and transportation activities - Evaluate company performance measurement techniques and identify areas of improvement - Build relationships with internal and external stakeholders - Align country/regional SCM processes to Azelis best practice - Prepare monthly regional S&OP meetings - Develop accurate demand forecasts using historical data, market trends, and statistical models - Manage end-to-end demand planning process including data collection, analysis, forecasting, and validation - Harmonize forecasting process across the organization - Optimize inventory levels and balance demand forecasts with supply chain capabilities - Communicate demand and forecast to principals and issue purchase orders - Identify opportunities to enhance demand planning processes and actively contribute to process improvement initiatives - Follow up with principals on deliveries and manage logistics - Control day-to-day transactions to minimize DSO and DIV - Document processes and create standard operating procedures to support bu

Role Overview: As a Quantitative Analyst at 5paisa Capital Ltd., you will leverage your analytical and programming skills to support the writing, testing, and optimization of trading strategies. You will also be responsible for cleaning and storing large datasets, creating, testing, and implementing risk and trading models. Collaboration with cross-functional teams to troubleshoot, document, and implement data-driven solutions that enhance the efficiency of trading and investment strategies is a key aspect of your role. Responsibilities: - API Development & Testing: - Maintain RESTful APIs for algo trading platforms and ensure seamless integration with trading systems. - Conduct thorough testing of APIs to ensure compliance with infosec best practices. - Troubleshoot and resolve any issues related to API performance and functionality. - Algorithmic Trading Strategies: - Develop and backtest algorithmic trading strategies using advanced quantitative models and historical data. - Continuously monitor the performance of live trading strategies and enhance existing strategies based on performance. - Document and present trading strategies and algorithms effectively. Qualifications: Education: - Bachelors in engineering, maths, or physics is required. - An MBA is considered a plus but not mandatory. Experience: - 1-2 years of experience in any tech-related job is preferred. - Experience in Data Science/Engineering is an added advantage. Skills: - Proficiency in Python is a must. Knowledge of MATLAB, R, and functional programming languages is a plus. Competencies: - Analytical Skills: Ability to work with large datasets and develop strategies based on statistical analysis and market behavior. - Python Programming Expertise: Strong skills in building and maintaining APIs, data pipelines, and trading systems. - Problem-Solving: Capable of troubleshooting complex systems and optimizing strategies in real-time. - Communication: Clear ability to explain technical concepts to non-technical teams such as traders and risk managers. - Adaptability: Comfortable working in a fast-paced, dynamic environment with changing market conditions and strategy requirements. Innovative Culture: Join 5paisa Capital Ltd. and be part of a company that is driving innovation in the fintech industry. Your role as a Quantitative Analyst will contribute to the ongoing transformation of how individuals manage and access their finances. Tech-Driven Solutions: You will work on tasks that not only challenge your skills but also contribute to improving tech productivity, efficiency, and customer experience within the organization. Professional Growth: 5paisa values your growth and encourages you to take on challenges, learn, and develop your skills. Join a team that prioritizes your professional development.,

Role Overview: As the Artificial Intelligence Lead for HR Technology, you will be instrumental in enhancing the capabilities of the HR Technology Team through the application of AI and machine learning. Your role will involve driving innovation, optimizing human resource processes, and ensuring business transformation objectives are met effectively. Key Responsibilities: - Develop and implement AI-driven solutions to streamline various HR operations including recruitment, employee onboarding, performance management, talent development, and workforce analytics. - Collaborate with cross-functional teams to identify opportunities for AI integration and automation within HR processes. - Lead the design, testing, and deployment of machine learning models to improve HR decision-making and predictive analytics. - Ensure data integrity, security, and compliance with ethical guidelines and privacy regulations in AI applications. - Stay updated on the latest trends in AI and HR technology, proposing strategic initiatives to keep the company innovative. - Analyze complex HR data to provide actionable insights and recommendations, focusing on data readiness and fit-gap analysis. - Collaborate with vendors and third-party partners to integrate external AI solutions with internal HR systems. Qualifications Required: - Bachelor's degree in Computer Science, Data Science, AI, or a related field. - Minimum of 6 years of experience in developing AI solutions. - Ability to work with Subject Matter Experts to understand business objectives and define requirements. - Proficiency in AI and machine learning, particularly in HR applications. - Strong programming skills in languages like Python, R, or Java. - Experience with AI frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn. - Sound knowledge of data structures, algorithms, and statistical methods. - Experience in natural language processing (NLP) and chatbot development. - Familiarity with cloud platforms like AWS, Google Cloud, or Azure. Additional Details: The listed additional skills, knowledge, and abilities include: - Knowledge of Oracle HCM. - Ability to translate business needs into technical requirements for measurable outcomes. - Strong analytical thinking, problem-solving skills, and project management experience. - Familiarity with Agile methodologies and demonstrated leadership in projects. - Excellent executive communication skills both verbally and in writing. - Proficiency in collaborating across a matrixed organization. - Quick grasping and utilization of new technical concepts efficiently. - Capability to work effectively under minimal supervision.,

As a Software Engineer II at JPMorgan Chase within the 55ip Quant team, you will have the opportunity to join an innovative team and contribute to the future of portfolio optimization using advanced quantitative, ML, and AI techniques. Your role will involve collaborating with quants, product, and technology professionals to design, implement, and optimize quantitative models for portfolio management. Your work will directly impact investment strategies and client outcomes. **Key Responsibilities:** - Develop, implement, and maintain quantitative models for portfolio optimization. - Write secure, high-quality production code in Python and review and debug code written by the team. - Design and integrate models into the simulation environment. - Enhance strategy performance through analytics review and code tuning. - Apply software engineering best practices throughout development. - Identify opportunities to automate remediation of recurring issues to enhance operational stability of software applications and systems. **Qualifications Required:** - Formal training or certification in software engineering concepts and a minimum of 2 years of applied experience. - Proficiency in Python and advanced experience with numerical libraries such as NumPy, pandas, and scikit-learn. - Hands-on practical experience in high-performance system design, application development, testing, and operational stability. - Hands-on experience in developing, testing, and deploying quantitative, ML/AI models. - Familiarity with working in an agile development environment. - Experience with cloud technologies, particularly AWS. - Proven experience working with large datasets. In addition to the required qualifications, capabilities, and skills, the following preferred qualifications are also desirable: - Experience working with a quantitative team. - Knowledge of statistical and quantitative modeling techniques, including practical application to real-world data analysis and problem-solving. - Previous experience in portfolio construction, implementation, or trading technology.,

Role Overview: As an Artificial Intelligence / Machine Learning Engineer, you will have the exciting opportunity to build and deploy new AI products from scratch. Your role will involve contributing to the AI strategy, defining problem statements, developing AI models, and setting technical standards. You will play a key part in establishing AI development and production infrastructure to ensure successful implementation of AI solutions. Key Responsibilities: - Work with a team to define and execute AI strategy. - Develop AI models and deploy them into production. - Establish technical standards for AI development. - Utilize Python and Image processing for AI model development. - Apply data visualization techniques for effective presentation. - Demonstrate expertise in statistical concepts and machine learning models. - Collaborate with cross-functional teams to solve complex problems using AI technology. Qualifications Required: - Minimum 1+ years of experience working with large volumes of data, preferably in the healthcare industry. - Formal education in relevant fields such as statistics, computer science, or applied mathematics. - Proficiency in Python and hands-on software development skills. - Strong understanding of data visualization and presentation techniques. - In-depth knowledge of statistical concepts and machine learning models. (Note: Additional details about the company were not provided in the job description.),

As a Product Manager at Purplle, you will play a crucial role in shaping the intellectual core of the supply chain by leading the development of technology products for demand and supply planning. Your responsibilities will have a direct impact on key business outcomes like product availability, inventory efficiency, and operational costs. Here is a breakdown of what is expected from you: - **Product Vision & Strategy**: - Define and articulate a long-term product vision and strategy for Purplle's demand and supply planning tech stack. - Create and own a prioritized roadmap that balances foundational improvements with innovative features. - **Demand Planning Products**: - Lead the development of systems for statistical demand forecasting, consensus planning, new product forecasting, and near-term demand sensing using machine learning and external signals. - **Supply & Inventory Planning Products**: - Spearhead the creation of tools for inventory norm calculation, buying automation, manufacturing planning, and automated stock transfer orders (STOs) to optimize inventory across the network. - **Stakeholder Management**: - Collaborate closely with various teams to gather requirements, define solutions, and ensure successful product adoption. - **Execution & Delivery**: - Author detailed product requirement documents (PRDs), create user stories, manage the product backlog, and work with agile development teams to deliver high-quality products on time. - **KPI Ownership**: - Define, monitor, and own key performance indicators for your product suite, including Forecast Accuracy, On-Shelf Availability (OSA), Inventory Health (SLOB %), and Cost of Replication. **Qualifications Required**: - Bachelor's degree in Engineering, Business, or related field. MBA is a plus. - 4-7 years of product management experience, with at least 2 years focused on supply chain, operations, or internal tooling products. - Strong analytical and quantitative skills, ability to work cross-functionally, and hands-on experience in an agile development environment. The company, Purplle, founded in 2011, has established itself as one of India's premier omnichannel beauty destinations. With a wide range of brands and products, Purplle offers a unique technology-driven hyper-personalized shopping experience to millions of users. In 2022, Purplle achieved unicorn status, backed by a group of esteemed investors, and is set to revolutionize the beauty landscape in India with an ever-growing team and vision.,

Role Overview: You will be responsible for coordinating, providing, and delivering methodological and epidemiological expertise to Real-World Evidence generation within Abbott's Established Pharmaceuticals Division (EPD). Your primary focus will be to support Clinical Development and/or Medical Affairs in clinical studies and related activities on the EPD brands. You will ensure compliance with international and local regulatory guidelines, as well as EPD policies and standards. Additionally, you will direct the operational aspects of the methodological work of RWE research projects outsourced to CROs. Key Responsibilities: - Manage several projects, mainly RWE and occasionally interventional, across all therapeutic areas - Contribute methodologically to the design, analysis, and reporting of observational clinical studies such as epidemiological studies, cross-sectional studies, and registry studies - Define appropriate statistical methodology and endpoint definitions for the design of clinical studies, including sample size determination - Review and approve the statistical analysis plan, participate in data reviews, and review study report tables, listings, and figures - Collaborate with the medical responsible person to clarify and communicate results and conclusions - Support dossier submissions and address statistical and methodological questions related to the file - Drive the agenda for generating RWE from RWD, leveraging data to enhance compound knowledge through data-driven projects - Review epidemiological and methodological issues on compounds from literature sources - Stay updated on relevant methodological and epidemiological expertise by attending conferences, courses, and reviewing literature - Represent Biometrics in the review of HEOR studies, pharmacoeconomic models, and Global Value Dossiers - Contribute to Behavioral Design studies, including Adherence studies with or without the use of digital means or telehealth Qualification Required: - PhD or MSc in (Bio)Statistics, Mathematics, Epidemiology, or Health economics - Additional training in epidemiology and RWE for Statistics degree holders, and additional training in statistics for Epidemiology degree holders - Professional at senior/principal level - Demonstrable expertise in designing and conducting observational studies - Experience in turning Real World Data into Real World Evidence using advanced statistical techniques - Minimum of 5 years of experience in a pharmaceutical environment - Proficient in conducting statistical analyses using SAS and/or R - Ability to explain epidemiological concepts to non-technical individuals - Knowledge of HEOR and behavioral science/adherence models would be advantageous,

Role Overview: We are seeking a skilled and motivated Data Scientist to join our team. The ideal candidate will leverage data science techniques to develop predictive models, generate insights, and support strategic decision-making, particularly in revenue forecasting and financial analytics. While our India office is based in Mumbai, this role can be handled remotely and will be responsible for supporting global operations. This role offers the chance to work in a fast-paced environment and advance your career within a supportive and diverse team. Key Responsibilities: - Apply statistical techniques (regression, distribution analysis, hypothesis testing) to derive insights from data and create advanced algorithms and statistical models such simulation, scenario analysis, and clustering - Explain complex models (e.g., RandomForest, XGBoost, Prophet, SARIMA) in an accessible way to stakeholders - Visualize and present data using tools such as Power BI, ggplot, and matplotlib - Explore internal datasets to extract meaningful business insights and communicate results effectively and write efficient, reusable code for data improvement, manipulation, and analysis - Manage project codebase using Git or equivalent version control systems - Design scalable dashboards and analytical tools for central use - Build strong collaborative relationships with stakeholders across departments to drive data-informed decision-making while also helping in the identification of opportunities for leveraging data to generate business insights - Enable quick prototype creation for analytical solutions and develop predictive models and machine learning algorithms to analyze large datasets and identify trends - Communicate analytical findings in clear, actionable terms for non-technical audiences - Mine and analyze data to improve forecasting accuracy, optimize marketing techniques, and informed business strategies, developing and managing tools and processes for monitoring model performance and data accuracy - Work cross-functionally to implement and evaluate model outcomes Qualifications Required: - Bachelors or Masters degree in Computer Science, Statistics, Mathematics, Engineering, or related technical field - 3+ years of relevant experience in data science and analytics and adept in building and deploying time series models - Familiarity with project management tools such as Jira along with experience in cloud platforms and services such as DataBricks or AWS - Proficiency with version control systems such as BitBucket and Python programming - Experience with big data frameworks such as PySpark along strong knowledge of data cleaning packages (pandas, numpy) - Proficiency in machine learning libraries (statsmodels, prophet, mlflow, scikit-learn, pyspark.ml) - Knowledge of statistical and data mining techniques such as GLM/regression, random forests, boosting, and text mining - Competence in SQL and relational databases along with experience using visualization tools such as Power BI - Strong communication and collaboration skills, with the ability to explain complex concepts to non-technical audiences,

You are a candidate with 1-3 years of work experience and are interested in joining Unico Connect, a forward-thinking technology company dedicated to pushing the boundaries of what's possible in the digital world. In this role as a Senior Data Scientist at Unico Connect, you will have the following responsibilities: - Analyze complex data sets to derive valuable insights for strategic decision-making. - Collaborate with development teams to enhance data collection and storage architectures. - Develop compelling data visualizations, interactive dashboards, and reports to improve user experience. - Define and ensure proper tracking of application events in collaboration with product managers and developers. - Create and set up dashboards showcasing real-time usage metrics and behavioral data. - Address specific business challenges by responding to ad hoc data requests and conducting analyses. - Communicate analytical findings through comprehensive reports and visualizations to guide strategic planning and process improvements. - Implement measures to ensure data accuracy and reliability. - Stay updated with the latest data analytics tools and technologies to continuously enhance data science capabilities. - Provide data-driven insights and support decision-making processes within cross-functional teams. - Utilize statistical techniques and machine learning algorithms to create predictive and prescriptive models. - Train and support team members and stakeholders in data science techniques and tools. You should meet the following qualifications to be considered for this role: - Education: Bachelors or Masters degree in Computer Science, Data Science, or a related field. - Experience: Minimum of 2 and Maximum 3 years of experience as a Data Scientist or in a similar role. - Technical Skills: - Proficiency in Python or R, and SQL for data manipulation and analysis. - Experience with data visualization tools like Power BI, Tableau or similar. - Strong understanding of statistical concepts and machine learning algorithms. - Familiarity with databases and data warehousing concepts. - Analytical Skills: Excellent analytical and problem-solving abilities with a strong attention to detail. - Communication Skills: Effective at conveying technical findings to non-technical stakeholders. - Organizational Skills: Strong time-management skills for handling multiple projects and deadlines. - Teamwork: Ability to work both independently and collaboratively within a team.,

As a Model/Anlys/Valid Analyst I at Citigroup, you will be a trainee professional expected to have a good understanding of processes, procedures, and systems relevant to the role. Your responsibilities will include developing, enhancing, and validating methods for measuring and analyzing risk across various types. You will also assist in preparing reports, supporting projects for risk analytics improvement, and collaborating with senior and junior staff on various tasks. It is important for you to demonstrate clear communication skills, attention to detail, and proficiency in Microsoft Office, particularly MS Excel. Key Responsibilities: - Develop, enhance, and validate risk measurement and analysis methods for market, credit, and operational risks - Assist in preparing regular and ad-hoc reports, running integrity checks, and verifying key numbers - Support projects for improving risk analytics, modeling, and validation systems - Utilize analytical and process management skills for quality control of data - Collaborate with team members on executing projects and reports - Assess risks appropriately in decision-making processes, ensuring compliance with regulations and ethical standards Qualifications: - Proficiency in Microsoft Office, particularly MS Excel - Clear and concise written and verbal communication skills - Self-motivated and detail-oriented Education: - Bachelors/University degree or equivalent experience If you require a reasonable accommodation due to a disability to use our search tools or apply for a career opportunity, please review the Accessibility at Citi. Additionally, you can view Citigroup's EEO Policy Statement and the Know Your Rights poster for more information on equal employment opportunities.,

As a Senior Python Developer (Data Science, AI/ML) at HCL Software, you will play a key role in delivering AI-driven Marketing Campaigns through the innovative Unica+ Marketing Platform. This platform empowers clients to execute precise and high-performance marketing campaigns across various channels like Social Media, AdTech Platforms, Mobile Applications, Websites, etc., utilizing Data and AI as primary components for delivering hyper-personalized offers and messages. **Key Responsibilities:** - Proficient in Python with extensive experience using Pandas for data manipulation, NumPy for numerical operations, and Matplotlib/Seaborn for data visualization. - Strong understanding of statistical concepts, including descriptive statistics, inferential statistics, hypothesis testing, regression analysis, and time series analysis. - Expertise in handling messy real-world data, including dealing with missing values, outliers, data normalization/standardization, feature engineering, and data transformation. - Ability to query and manage data efficiently from relational databases using SQL, and ideally some familiarity with NoSQL databases. - Skill in visually and numerically exploring datasets to understand their characteristics, identify patterns, anomalies, and relationships. - In-depth knowledge and practical experience with a wide range of ML algorithms such as linear models, tree-based models (Random Forests, Gradient Boosting), SVMs, K-means, and dimensionality reduction techniques (PCA). - Proficiency with at least one major deep learning framework like TensorFlow or PyTorch, including understanding neural network architectures (CNNs, RNNs, Transformers) and their application to various problems. - Ability to select appropriate evaluation metrics (e.g., precision, recall, F1-score, AUC-ROC, RMSE) for different problem types, diagnose model performance issues (bias-variance trade-off), and apply optimization techniques. - Understanding of how to deploy machine learning models into production environments, including concepts of API creation, containerization (Docker), version control for models, and monitoring. **Qualifications & Skills:** - At least 8-10 years of Python Development Experience with at least 4 years in data science and machine learning. - Experience with Customer Data Platforms (CDP) like TreasureData, Epsilon, Tealium, Adobe, Salesforce is advantageous. - Experience with AWS SageMaker is advantageous. - Experience with LangChain, RAG for Generative AI is advantageous. - Expertise in Integration tools and frameworks like Postman, Swagger, API Gateways. - Knowledge of REST, JSON, XML, SOAP is a must. - Ability to work well within an agile team environment and apply the related working methods. - Excellent communication & interpersonal skills. - A 4-year degree in Computer Science or IT is a must. *Please note that 30%+/- travel may be required for this position, and the preferred location is India, with Pune being the preferred city.* If you meet the qualifications and are interested in this exciting opportunity, please share your CV to monica_sharma@hcl-software.com along with your Current CTC, Expected CTC, and Notice Period. Shortlisted candidates will be invited for a virtual interview on 11th Oct Saturday.,

Role Overview: As an Associate General Manager Business Intelligence at StayVista, you will play a crucial role in leading data-driven decision-making by transforming complex datasets into strategic insights. Your main responsibilities will involve optimizing data pipelines, automating workflows, and integrating AI-powered solutions to enhance efficiency. Your expertise in database management, statistical analysis, and visualization will support business growth, while collaborating with leadership and cross-functional teams to drive impactful analytics strategies. Key Responsibilities: - Design, develop, and implement end-to-end BI solutions to improve decision-making. - Proficient in ETL processes using SQL, Python, and R for accurate and efficient data handling. - Utilize Google Looker Studio, Apache Superset, Power BI, and Tableau to create clear, real-time dashboards and reports. - Develop and support ETL mappings, database structures, and BI reports. - Participate in the UAT process, ensuring quick resolution of any issues. - Manage different environments and deploy reports/ETLs in all client environments. - Analyze industry trends and competitor data to develop effective pricing and revenue strategies. - Collaborate with Product, Marketing, Finance, and Operations teams to translate business requirements into analytical solutions. Qualifications Required: - 8+ years of experience in Business Intelligence, Revenue Management, or Data Analytics. - Bachelor's/Master's degree in Business Analytics, Data Science, Computer Science, or a related field. - Experience in ETL tools such as Pentaho/Talend or as per project requirements. - Demonstrated understanding of data warehouse concepts, ETL loading strategy, data archiving, and reconciliation. - Bonus points for experience in Hospitality, TravelTech, or Marketplace Industry and AI/ML Implementation. Additional Company Details: StayVista is India's largest villa hospitality brand that offers luxury villas in various holiday destinations. The company is dedicated to crafting exceptional getaways and curating unique experiences for travelers. The team at StayVista is passionate about travel and strives to become the most loved hospitality brand in India. As part of the company, you will be encouraged to innovate, anticipate stakeholder needs, optimize resources creatively, and continuously learn and grow. (Note: The JD does not explicitly mention any additional details about the company. The information provided is based on the general tone and ethos communicated in the job description.),

As a Data Scientist, you'll play a crucial role in supporting data-driven projects, performing routine data analysis tasks, and assisting with model development and testing. Your role involves contributing to various stages of the data science lifecycle and providing insights that help shape business strategies. This position is suited for those with a foundational understanding of data science and are eager to deepen their expertise. Responsibilities: - Contribute to more advanced data collection and preprocessing efforts. - Assist in developing and testing machine learning models. - Perform descriptive data analysis and provide preliminary insights. - Create visualizations and reports to support data findings. - Manage and maintain data repositories efficiently. - Support senior data scientists in feature creation and selection. - Participate in collaborative projects with cross-functional teams. - Help automate data processing tasks using scripts. - Contribute to model validation and performance testing. - Stay informed about emerging data science tools and methodologies. Skills: - Advanced Data Cleaning: Enhanced preprocessing and data wrangling techniques. - Intermediate Python: Proficiency in Python for data science tasks. - SQL: More advanced SQL querying skills. - Data Visualization: Ability to create meaningful visualizations using tools like Tableau or Matplotlib. - Machine Learning Basics: Understanding of basic machine learning concepts and algorithms. - Statistical Analysis: Intermediate statistical methods and their applications. - Communication: Articulating data insights clearly to non-technical stakeholders. - Problem-Solving: Effective in identifying data-related issues and providing solutions. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.,

Role Overview: In an ever-changing financial landscape, the Risk division at Deutsche Bank plays a crucial role in reinforcing the bank's resilience by identifying, aggregating, managing, and mitigating risks across market risk management, operational risk management, and credit risk management. As the Regional Head of EMG APAC, you will lead the Exposure Management Group team in Mumbai to ensure business objectives are met while upholding the bank's values. Your responsibilities will include analyzing credit risk of individual derivative trades, conducting daily interactions with various stakeholders, performing ad-hoc scenario analyses, and managing escalations related to Initial Margin requirements. Key Responsibilities: - Lead the EMG Mumbai team to ensure objectives are met according to business requirements and in line with the values of the bank - Perform analysis of credit risk of individual derivative trades across all products in the firm - Conduct pre-deal trade level initial margin calculation for derivatives & collateral haircut calculation for complex financings - Manage escalations related to Initial Margin requirements - Participate in discussions of risk mitigation for large complex transactions - Collaborate with CCR Pre-Deal colleagues globally on transactions, methodology/tool development, and other strategic initiatives Qualifications Required: - Strong mathematical and statistical background with the ability to simplify complex concepts for a non-technical audience - Knowledge of derivative products across all asset classes and financial markets - Understanding of counterparty credit risk on trade and portfolio levels - Experience in methodology development for financial products and communication of technical documents to non-technical audiences - Proficiency in various pricing models - Excellent interpersonal, analytical, and communication skills - Ability to multitask, prioritize resources, and work effectively across different time zones Additional Company Details: Deutsche Bank fosters a culture of continuous learning and development, providing training, coaching, and support to help employees excel in their careers. The company promotes a positive, fair, and inclusive work environment, where employees are empowered to excel together every day. Deutsche Bank Group values responsible actions, commercial thinking, initiative, and collaborative work. (Note: The company website for further information can be found at https://www.db.com/company/company.html),

As a candidate for this role, you should have 1 year of work experience dealing with large volumes of data, especially in the healthcare sector. Key Responsibilities: - Love data. You must have a deep passion for working with data, making sure that every aspect is quantified and driven by data. - Possess a strong understanding of Python and Image processing, along with hands-on experience in software development across all stages, from development to production. - Excel in data visualization and presentation techniques. - Demonstrate a solid foundation in statistical concepts and various machine learning models. Qualifications Required: - Completion of formal education in relevant fields such as statistics, computer science, or applied mathematics.,

As a Senior Data Scientist (Artificial Intelligence Machine Learning) at FIS, you will have the opportunity to work on challenging and relevant issues in financial services and technology. You will be part of a team that is open, collaborative, entrepreneurial, passionate, and fun. **Role Overview:** You will be responsible for creating AI-enabled solutions by using the concepts of AIML, GenAI, LLMs, Sentiment analysis, etc. This role involves creating correlations between different data points and performing predictive and preventive analysis. **Key Responsibilities:** - Employ machine learning and statistical modeling to create and enhance data-driven products - Analyze and extract insights from internal and external data - Work with Big Data and transform complex datasets into more usable formats - Utilize data science tools and programming languages such as SAS, Python, R, Scala, SQL - Collaborate with other groups to solve complex problems - Create and present analyses to internal and external partners and clients - Work in 2 PM to 11 PM IST shifts **Qualifications Required:** - 4 to 6 years of experience in machine learning, artificial intelligence, statistical modeling, data visualization, and data analysis - Proficiency in data science tools and programming languages such as SAS, Python, R, Scala, SQL - Relevant degree in Artificial Intelligence Machine Learning - Experience or knowledge of cloud-based technology - Knowledge of the financial services industry At FIS, we offer a range of benefits to support your lifestyle and wellbeing. You will have a multi-faceted job with a broad spectrum of responsibilities in a modern international work environment. We provide professional education and personal development opportunities for your growth. Join FIS for a fulfilling career journey. Please note that FIS is committed to protecting the privacy and security of all personal information processed to provide services. Our recruitment primarily works on a direct sourcing model and does not accept resumes from recruitment agencies not on the preferred supplier list.,

As a member of the Tesla's Supplier Industrialization team, you will play a crucial role in selecting, qualifying, and scaling battery cell materials manufacturing processes at supplier locations. You will collaborate with internal and external organizations to bring new battery designs from concept to full production, contributing significantly to Tesla's products. The work environment is dynamic, fast-paced, and rewarding, requiring you to be ready to push your limits and work with a highly motivated team to turn innovative ideas into reality. - Review, setup, qualify, and scale process flow for battery cell material manufacturing - Monitor production output and support expansion programs at existing facilities with suppliers - Establish in-process, outgoing quality control, and incoming quality control material quality controls, along with the corresponding metrology - Collaborate with suppliers to optimize production processes and enhance quality yield, focusing on areas like metallic impurity control - Provide support for material-related failure analysis at supplier locations - Project manage activities at supplier sites to meet Tesla product qualification milestones on time - Serve as the technical contact point for battery cell material manufacturing processes, coordinating activities within internal and external teams - Bachelor's or Master's degree in Chemical Engineering, Material Science, or related field - 3+ years of industrial experience in battery material manufacturing processes and quality control - Proficiency in material characterization techniques such as PSD, BET, GCMS, Titration, XRD, FTIR, SEM, EDS, Stress-strain diagram, DSC, DTA, and hardness test - Experience in developing outgoing and incoming quality control processes, as well as metrology qualification for cell materials - Strong skills in statistical data analysis and process capability analysis - Familiarity with battery cell manufacturing requirements, cell performance specifications, and their relationship to material characteristics, preferably in high volume manufacturing settings - Excellent communication and presentation abilities - Willingness to travel up to 75% domestically and internationally,

Role Overview: As a Machine Learning Engineer in this role, you will be responsible for developing, training, and deploying machine learning and deep learning AI models for various business use cases. You will design and implement end-to-end ML workflows, collect and preprocess data, perform exploratory data analysis, apply advanced machine learning algorithms, and optimize model architectures using frameworks such as Azure ML Studio, TensorFlow, and PyTorch. Additionally, you will integrate models into business applications, build scalable ML components and pipelines, enforce AI guardrails, deploy models in production, monitor model performance, collaborate with cross-functional teams, and stay up-to-date with the latest AI/ML advancements. Key Responsibilities: - Develop, train, and deploy machine learning, deep learning AI models for business use cases. - Design and implement end-to-end ML workflows from data ingestion to model deployment. - Collect, clean, and preprocess structured and unstructured data from multiple sources. - Perform exploratory data analysis to identify patterns and actionable insights. - Apply advanced machine learning algorithms and optimize model architectures. - Integrate models into business applications through RESTful APIs. - Build and maintain scalable ML components and pipelines. - Enforce AI guardrails and integrate bias mitigation and security practices. - Deploy models in production using Docker and Kubernetes. - Utilize Azure AI services and infrastructure for development and training. - Monitor deployed models for drift, performance degradation, and data quality issues. - Collaborate with cross-functional teams to deliver AI-driven solutions. - Communicate complex ML concepts and technical findings to stakeholders. - Stay current with the latest AI/ML research and trends. - Maintain documentation of data pipelines, model architectures, and experiment results. - Write modular, maintainable, and production-ready code in Python. - Contribute to building reusable ML components and accelerators. Qualifications: - Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or related field with over 7+ years of experience. - Proven experience as a Data Scientist, ML Developer, or in a similar role. - Strong command of Python and ML libraries. - Experience with ETL/ELT pipelines, data ingestion, and transformation. - Strong grasp of statistical modeling, supervised/unsupervised learning, time-series forecasting, and NLP. - Proficiency in programming languages like Python, R, or SQL. - Hands-on experience with CI/CD pipelines, model monitoring, and version control. - Familiarity with cloud platforms, deployment tools, and DevOps practices. - Excellent problem-solving skills and attention to detail. - Strong communication and collaboration skills for effective teamwork. Preferred Qualifications: - Proficiency in Python with libraries like pandas, NumPy, scikit-learn, spacy, NLTK, TensorFlow, PyTorch. - Knowledge of NLP and computer vision techniques. - Experience with Graph ML, reinforcement learning, or causal inference modeling. - Familiarity with marketing analytics, attribution modeling, and A/B testing. - Hands-on MLOps experience with CI/CD processes. - Experience with big data technologies such as Hadoop and Spark. (Note: No additional details of the company were provided in the job description.),

As a Machine Learning Researcher specializing in security at Arkose Labs, you will apply your expertise in machine learning and cybersecurity to develop innovative solutions to detect, prevent, and respond to security threats and fraud. You will conduct independent research, collaborate with cross-functional teams, and stay abreast of the latest advancements in the field. - Develop and implement ML and deep learning models to detect and mitigate security threats. - Developing new product features using statistical/machine learning-based algorithms to identify bot and fraud traffic. - Conduct data cleaning, preprocessing, and exploratory data analysis. Apply statistical methods to analyze security-related data. - Stay updated with the latest research and advancements in ML and cybersecurity. Publish research findings in reputable journals and conferences. - Collaborate with cross-functional teams to understand project requirements and contribute to the development of solutions. - Collaborate with security analysts, software engineers, and other stakeholders to integrate ML solutions into security products. - Communicate complex technical concepts to both technical and non-technical stakeholders effectively. - Bachelors, Masters, or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field. - Minimum of 5 years of experience in Data Science, with substantial experience in AI/ML engineering. - Proficiency in ML algorithms, neural networks, and model development. - Experience with ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Strong coding skills in Python, R, and familiarity with languages such as C++, Java, or Scala. - Ability to perform data cleaning, preprocessing, and exploratory data analysis. - Strong understanding of statistical methods and their applications. - Familiarity with cybersecurity concepts, threat models, and common attack vectors. - Experience with security tools and technologies (e.g., intrusion detection systems, firewalls, malware analysis tools). - Strong analytical and problem-solving skills to identify and mitigate security threats using ML techniques. - Understanding of network security, bot security, application security, and incident response. Arkose Labs, headquartered in San Mateo, CA, aims to protect enterprises from cybercrime and abuse. With a customer base including Fortune 500 companies and a global presence, Arkose Labs offers innovative solutions in the bot detection and mitigation space. The company's AI-powered platform combines risk assessments with dynamic threat response to counter attacks effectively while enhancing user throughput. At Arkose Labs, technology-driven solutions make a significant impact in the industry, supported by a strong customer base of global enterprise giants. The company fosters a collaborative ecosystem where employees partner with influential brands to tackle technical challenges and safeguard millions of users worldwide. With a focus on innovation, excellence, and experienced leadership, Arkose Labs offers a vibrant work environment for top tech professionals to shape the future of technology. Benefits: - Competitive salary + Equity - Beautiful office space with many perks - Robust benefits package - Provident Fund - Accident Insurance - Flexible working hours and work from home days to support personal well-being and mental health.,