48 Statistical Concepts Jobs in Pune

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: 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.,

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 model/UI developer, your role involves utilizing advanced programming skills in R and R Shiny to develop credit rating models and algorithms. You will leverage your R Shiny expertise to create user-friendly UIs and collaborate with analytical teams to implement models accurately. Additionally, you will communicate complex concepts to technical and non-technical stakeholders and stay updated on industry trends. Key Responsibilities: - Utilize advanced programming skills in R to develop and implement credit rating models and algorithms - Use R Shiny skills to build intuitive and user-friendly UI - Collaborate with analytical teams to translate criteria documents and implement models - Communicate complex concepts and findings to technical and non-technical stakeholders - Stay informed about industry trends and best practices in UI design and financial programming Qualifications Required: - Advanced programming skills in R and R Shiny, with a strong understanding of statistical analysis and UI/UX design - Background in the finance industry, with knowledge of financial markets and instruments - Excellent communication skills to convey technical concepts effectively - Strong problem-solving and analytical abilities - Experience with structured finance is preferred - Experience in application development using Python, Java, or C++ if not proficient in R/ R Shiny,

Role Overview: You are being sought by Deutsche India to join their team as a Senior Data Scientist. The team's focus is on revolutionizing the Private Bank process landscape through automation and AI innovation. Your role will involve working on data science projects from problem definition to model deployment and performance monitoring. You will collaborate with cross-functional teams to identify opportunities for data-driven and AI-powered solutions and effectively communicate complex findings to various stakeholders. Key Responsibilities: - Define and frame complex business problems into actionable data science questions, exploring opportunities for Generative AI, LLMs, and Agentic AI. - Identify and evaluate relevant data sources for addressing business and AI problems. - Oversee data collection, cleaning, and preprocessing to ensure data quality for ML and Generative AI applications. - Apply statistical understanding to analyze and interpret data, conducting exploratory data analysis to identify trends and hypotheses. - Drive research and implementation of ML algorithms and Generative AI models, emphasizing Transformer architectures and LLMs. - Design and execute experiments to measure the impact of data-driven and Generative AI solutions on business outcomes. - Communicate analytical findings and recommendations to diverse audiences, collaborate with engineering teams for model deployment and maintenance. - Continuously research new data science techniques and Generative AI models, contribute to knowledge sharing within the company. Qualifications Required: - Graduates, Masters, or PhD in Computer Science, Statistics, Mathematics, Engineering, or related fields. - 8+ years of experience in a data scientist role, with expertise in programming (Python, R, SQL), data analysis, statistical concepts, ML algorithms, and Generative AI. - Strong knowledge in Generative AI, LLMs, Transformer architectures, MLOps practices, database querying, data visualization, and cloud platforms. - Leadership qualities including excellent communication skills, analytical abilities, work ethic, and adaptability. - Preferred experience in Banking & Finance Domain with domain-specific expertise. Company Details: Deutsche Bank is committed to empowering its employees to excel together every day, acting responsibly, thinking commercially, taking initiative, and working collaboratively. They strive for a positive, fair, and inclusive work environment where successes are shared and celebrated. For further information about Deutsche Bank, please visit their company website: [Deutsche Bank Company Website](https://www.db.com/company/company.html),

As a Manager of a team of WFM/MIS Supervisors and/or MIS Analysts, your role will involve: - Leading and mentoring a team to support Operations, managing MIS processes, Client KPIs, and Financial performance across multiple clients and platforms. - Being well-versed in all WFM related aspects such as forecasting and capacity planning. - Serving as a checkpoint and reviewer of MIS processes, practices, and output, and driving improvement by developing plans, processes, recommending solutions/strategies, and ensuring execution. - Ensuring business targets in terms of KPI/SLA are met along with financial goals, and developing processes, scorecards, and performance plans for effective team management. Key Responsibilities: - Responsible for MIS & WFM Reporting & Service Delivery to Internal & External Customers. - Managing a MIS team for 3 to 5 clients. - Taking ownership, engaging with Ops team, and driving improvement/resolution. - Developing processes, scorecards, and performance plans for effective team management. Qualifications Required: - Minimum 6 years of Workforce Management experience in a multi-site, multi-client, BPO environment. - 2 years of experience as a Manager handling multiple programs of various sizes and complexities. - Strong interpersonal skills with the ability to forge positive, objective relationships with Operations and Support teams. - Ability to manage conflicting priorities, foresee problems, and fix them using a data-driven approach. - Proficiency in basic arithmetic and statistical concepts with a strong logical ability desired. - Must be diplomatic, resilient, positive, and enterprising in resolving conflicts and disagreements. - Ability to motivate, retain, and attract talent, and be flexible with extending shifts when needed.,

Role Overview: As a Data Scientist II, you will be responsible for utilizing your advanced analytical skills to extract insights from complex datasets. Your primary objective will be to develop and implement machine learning algorithms and statistical models to solve business problems effectively. By leveraging your expertise in data mining and visualization techniques, you will contribute to enhancing decision-making processes within the organization. Key Responsibilities: - Utilize advanced analytical skills to extract insights from complex datasets - Develop and implement machine learning algorithms and statistical models - Contribute to enhancing decision-making processes by leveraging data mining and visualization techniques - Work closely with cross-functional teams to gather requirements, conduct data analysis, and present findings - Communicate complex technical concepts to non-technical stakeholders to drive data-driven decision-making - Stay updated on the latest trends in data science and contribute innovative ideas to improve processes Qualifications Required: - Strong background in statistics, mathematics, and computer science - Proven track record of successfully applying machine learning techniques to real-world problems - Proficiency in programming languages such as Python, R, or SQL - Experience working with big data technologies like Hadoop or Spark (Note: No additional details about the company were present in the job description),

As a Senior Data Scientist (Artificial Intelligence Machine Learning) at FIS, you will have the exciting opportunity to work on challenging and relevant issues in the financial services and technology industry. You will be part of a team that values openness, collaboration, entrepreneurship, passion, and fun. You will be responsible for creating AI-enabled solutions by utilizing concepts such as AIML, GenAI, LLMs, and sentiment analysis. Your role will involve establishing correlations between various data points and conducting predictive and preventive analysis. - Employ machine learning and statistical modeling techniques to develop and enhance data-driven products. - Analyze and derive insights from both internal and external datasets. - Transform complex datasets into more accessible formats using Big Data technologies. - Utilize data science tools and programming languages like SAS, Python, R, Scala, and SQL. - Collaborate with cross-functional teams to address complex problems and present analyses to partners and clients. - Work in the 2 PM to 11 PM IST shift. - 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, and SQL. - Relevant degree in Artificial Intelligence Machine Learning. - Knowledge or experience with cloud-based technologies. - Familiarity with the financial services industry.,

In this role, you will be responsible for applying statistical analysis and machine learning techniques to solve business problems. Your key responsibilities will include: - Cleaning, processing, and analyzing large datasets from multiple sources - Writing efficient, reusable, and reliable Python code for data processing and analysis - Building and optimizing predictive models and algorithms - Performing thorough code reviews to ensure adherence to coding standards and best practices - Identifying performance bottlenecks and suggesting optimizations in Python code - Validating documentation completeness and clarity - Providing technical leadership and direction to other developers in the team - Mentoring junior team members through constructive code review feedback - Creating data visualizations to effectively communicate findings - Documenting code, models, and technical processes - Ensuring data security and compliance with best practices Qualifications required for this position include: - Strong knowledge of data science libraries such as NumPy, pandas, and scikit-learn - Experience with data visualization tools like Matplotlib and Seaborn - Understanding of statistical analysis and machine learning concepts - Proficiency in SQL and experience working with databases, specifically SQL Server and Snowflake - Experience with version control systems, particularly Azure DevOps - Excellent problem-solving skills and attention to detail Please note that the primary location for this role is at the Pune Tech Center.,

Role Overview: This Analyst position in S&C Global Network - AI - Supply Chain Analytics involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. The candidate is expected to have a good understanding of statistics, time series forecasting, and optimization methods to bring data-driven insights supporting statistical concepts in the wider Supply Chain area. Additionally, the role requires using data science skills to solve clients" business problems in the supply chain area and contributing towards asset development initiatives. Key Responsibilities: - Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. - Proficiency in data modeling developed through client projects. - Extensive use of data-driven techniques including exploratory data analysis and data pre-processing to solve business problems. - Proficient in using Python/PySpark programming for data manipulation, data visualization, and machine learning models with good hands-on experience. - Proficiency in any one of the Cloud solutions Azure, GCP, or AWS. - Proficiency in SQL for data preparation, manipulation, and descriptive analysis. - Proficient in supply chain domain. - Excellent written and oral communication skills. Qualifications Required: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Additional Information: Opportunity to work on innovative projects, career growth, and leadership exposure are provided in this role. (Note: Company details were not provided in the Job Description.),

Role Overview: As a Senior Data Scientist at Deutsche India, you will be a key member of the Service Solutions and AI Domain team, dedicated to revolutionizing the Private Bank process landscape through the implementation of data-driven and AI-powered solutions. Your role will involve strategic problem framing, data management, algorithm development, experimentation, effective communication, continuous innovation, and knowledge sharing. You will collaborate with cross-functional teams to identify transformative opportunities for Generative AI, LLMs, and Agentic AI applications, and play a pivotal role in driving innovation, optimizing operations, and delivering exceptional value to customers. Key Responsibilities: - Define and frame complex business problems into actionable data science questions, exploring opportunities for Generative AI, LLMs, and Agentic AI - Identify and evaluate relevant data sources to address business and AI problems - Oversee data collection, cleaning, and preprocessing for traditional ML and Generative AI applications - Apply statistical understanding and conduct exploratory data analysis to interpret data and formulate hypotheses - Drive research, implementation, and evaluation of ML algorithms and Generative AI models, emphasizing Transformer-based architectures and LLMs - Design and execute experiments to measure the impact of data-driven and Generative AI solutions on business outcomes - Communicate analytical findings and recommendations to diverse audiences, collaborate with engineering teams for model deployment and monitoring - Continuously research new data science techniques, Generative AI models, and technologies to enhance organizational capabilities - Contribute to the data science and AI community within the company by sharing knowledge and mentoring junior team members Qualifications Required: - Graduates, Masters, or PhD in Computer Science, Statistics, Mathematics, Engineering, or related field - 8+ years of experience in a data scientist role with expertise in data understanding, statistical analysis, ML algorithms, and Generative AI - Proficiency in programming languages such as Python, R, SQL, etc. - Hands-on experience with statistical concepts, machine learning algorithms, and Generative AI models - Familiarity with MLOps practices, cloud platforms, big data technologies, and deep learning frameworks - Excellent communication, problem-solving, and leadership skills - Preferred experience in the Banking & Finance Domain Please note that the qualifications required mentioned above are just a summary and may not include all the criteria defined in the job description.,

As an Analyst in the S&C Global Network - AI - Supply Chain Analytics team at Accenture, your role will involve driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. You are expected to have a good understanding of statistics, time series forecasting, and optimization methods, and be able to bring meaningful data-driven insights supporting statistical concepts to the wider Supply Chain area. Your data science skills will be crucial in solving clients" business problems in the supply chain domain. Additionally, you will contribute towards asset development initiatives. **Roles & Responsibilities:** - Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. **Professional & Technical Skills:** - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. **Mandatory Skills:** - Proficiency in data modeling developed through client projects. - Extensive use of data-driven techniques including exploratory data analysis and data pre-processing to solve business problems. - Proficient in using Python/PySpark programming for data manipulation, data visualization, and machine learning models with good hands-on experience. - Proficiency in any one of the Cloud solutions Azure, GCP, or AWS. - Proficiency in SQL for data preparation, manipulation, and descriptive analysis. - Proficient in the supply chain domain. - Excellent written and oral communication skills. **Good to have:** - Experience in Simulation and Optimization. - Knowledge of visualization packages like Tableau/ Power BI. - Exposure to tools like BY/ Anaplan/ o9/ Kinaxis /SAP IBP. - Exposure to Client interaction. - Exposure to business platforms (o9/Kinaxis/BY). In this role, you will have the opportunity to work on innovative projects, and there is potential for career growth and leadership exposure. (Note: Additional details about the company were not provided 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.,

As a Data Analyst Associate at MHTECHIN, you will be responsible for collecting, processing, and analyzing data from various sources. Your role will involve building dashboards and visualizations, identifying trends, and providing actionable insights to support business decisions. You will collaborate with different teams to ensure data quality and integrity throughout the process. Key Responsibilities: - Collect, clean, transform, and validate large and complex datasets from diverse sources. - Perform exploratory data analysis (EDA) to identify patterns, trends, correlations, and anomalies. - Build, maintain, and update dashboards, reports, and visualizations using tools like Tableau, Power BI, Looker, or similar. - Collaborate with stakeholders to translate business questions into analytical models and actionable insights. - Ensure data integrity, accuracy, and consistency across data pipelines and reporting layers. - Document analysis methodologies, dashboards, workflows, and communicate findings clearly to technical and non-technical stakeholders. - Assist in basic statistical analysis, A/B testing, and predictive/prescriptive modeling under guidance for fresher/off-campus roles. Required Skills & Qualifications: - Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, Data Science, or a related discipline. - Strong proficiency in SQL and Excel. - Familiarity with data visualization tools such as Power BI, Tableau, or similar. - Good analytical, statistical, and problem-solving skills with attention to detail. - Excellent written and verbal communication skills to present insights to non-technical stakeholders. Preferred / Nice-to-Have: - Experience or academic projects in Python or R for data analysis. - Familiarity with cloud data platforms (AWS, Google BigQuery, Azure). - Understanding of basic machine learning concepts or product analytics tools (Amplitude, Mixpanel) for off-campus roles. - Prior internship/project experience in data analytics, BI, or a related field. Why Join Us: - Work in an environment where analytics drives strategic decisions and growth. - Mentorship, training, and clear growth path (Data Analyst Senior Analyst Data Scientist) for freshers. - Hybrid/remote-friendly environment, collaborative team, modern tools. - Competitive salary, performance bonuses, and benefits. Application Process: - Submit your resume and academic transcripts. - Online assessment (aptitude, SQL/Python). - Technical interview (case study, problem-solving). - HR/managerial round (culture fit, career aspirations).,

As a part of ACL Digital, an ALTEN Group Company, you will be contributing to digital product innovation and engineering as a key player. Our focus lies in assisting clients in the design and development of cutting-edge products that are AI, Cloud, and Mobile ready, along with creating content and commerce-driven platforms. Through a design-led Digital Transformation framework, we facilitate the creation of connected, converged digital experiences tailored for the modern world. By leveraging expertise in strategic design, engineering, and industry knowledge, you will play a crucial role in helping clients navigate the digital landscape, thereby accelerating their growth trajectory. ACL Digital is headquartered in Silicon Valley, and is a frontrunner in design-led digital experiences, innovation, enterprise modernization, and product engineering services, particularly within the Technology, Media & Telecom sectors. The company is proud of its diverse and skilled workforce, which is part of the larger ALTEN Group comprising over 50,000 employees spread across 30+ countries, fostering a multicultural workplace and a collaborative knowledge-sharing environment. **Key Responsibilities:** - Applying data mining, quantitative analysis, statistical techniques, and conducting experiments to derive reliable insights from data - Understanding business use-cases and utilizing various sources to collect and annotate datasets for business problems - Possessing a strong academic background with excellent analytical skills and exposure to machine learning and information retrieval domain and technologies - Strong programming skills with the ability to work in languages such as Python, C/C++ - Acquiring data from primary or secondary sources and performing data tagging - Filtering and cleaning data based on business requirements and maintaining a well-defined, structured, and clean database - Working on data labeling tools and annotating data for machine learning models - Interpreting data, analyzing results using statistical techniques and models, and conducting exploratory analysis **Qualifications Required:** - A minimum of 4-5 years of relevant experience in the field - Preferably trained or certified in Data Science/Machine Learning - Capable of effectively collaborating with technical leads - Strong communication skills coupled with the ability to derive meaningful conclusions - Proficiency in Data Science concepts, Machine Learning algorithms & Libraries like Scikit-learn, Numpy, Pandas, Stattools, Tensorflow, PyTorch, XGBoost - Experience in Machine Learning Training and Deployment pipelines - Familiarity with FastAPI/Flask framework - Proficiency in Docker and Virtual Environment - Proficient in Database Operations - Strong analytical and problem-solving skills - Ability to excel in a dynamic environment with varying degrees of ambiguity If you thrive in a challenging and dynamic environment and possess the required technical skills and competencies, ACL Digital looks forward to having you join their team.,

As a Senior Data Scientist at Deutsche India, you will be a part of the Service Solutions and AI Domain team, dedicated to revolutionizing the Private Bank process landscape through process automation and AI innovation. Your role will involve working on the full lifecycle of data science projects, from strategic problem framing and data acquisition to model deployment and performance monitoring. You will collaborate with cross-functional teams to identify transformative opportunities for data-driven and AI-powered solutions. **Key Responsibilities:** - **Strategic Problem Framing & Generative AI Opportunity Identification:** - Define and frame complex business problems into actionable data science questions. - Identify opportunities for Generative AI, LLMs, and Agentic AI to deliver business value. - **Advanced Data Management & Preparation:** - Oversee data acquisition, cleaning, and preprocessing of large datasets. - Ensure high data quality and readiness for ML and Generative AI applications. - **Statistical Foundation & Data Understanding:** - Apply statistical understanding to analyze and interpret data for robust insights. - Conduct exploratory data analysis to identify trends and formulate hypotheses. - **Cutting-Edge Algorithm & Generative Model Development:** - Drive research and implementation of ML algorithms, with a focus on Transformer architectures. - Develop and evaluate advanced ML and Generative AI models to solve business problems. - **Experimentation & Impact Measurement:** - Design and execute experiments to measure the impact of data-driven and Generative AI solutions. - **Effective Communication & MLOps Collaboration:** - Communicate analytical findings and recommendations to diverse audiences. - Collaborate with engineering teams for model deployment and monitoring. **Qualifications Required:** - **Educational Background:** - Graduates, Masters, or PhD in Computer Science, Statistics, Mathematics, or related fields. - **Professional Expertise:** - 8+ years of experience in a data scientist role. - **Technical Skills:** - Proficiency in Python, SQL, data analysis, and EDA. - Deep knowledge of statistical concepts and machine learning algorithms. - Specialization in Generative AI, LLMs, Transformer architectures, and MLOps. - Experience with data visualization tools and cloud platforms. Deutsche Bank offers a range of benefits, including leave policies, childcare assistance, industry certifications sponsorship, and comprehensive insurance coverage. As part of a culture of continuous learning and collaboration, you will have access to training, coaching, and support to excel in your career. The company promotes a positive, fair, and inclusive work environment where employees are empowered to excel together every day. For more information about Deutsche Bank and its values, please visit the company website: [Deutsche Bank Company Website](https://www.db.com/company/company.html).,

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,

As a Lead Advanced Product Quality Planning (APQP) Specialist, your primary responsibility is to coordinate and lead APQP tasks for assigned projects. You will work closely with Suppliers, SDE, SQE, Buyer, Commodity Manager, Plant Quality, and other stakeholders to ensure the successful implementation of APQP processes. Your key duties will include: - Identifying gaps in Supplier Quality systems and Delivery processes and ensuring alignment with Eaton manufacturing sites - Communicating effectively with suppliers to address issues and follow up on improvement actions - Providing necessary training to suppliers and implementing actions to ensure defect-free product supply and overall supplier performance improvement - Developing and implementing Quality-led APQP activities to maintain quality from concept to production - Contributing to new business initiatives and projects while reviewing and communicating the impact on Quality and Delivery activities - Ensuring compliance with customer requirements, Quality policy, Company standards, and regulatory standards - Collaborating with Supplier, SCM, SQE, SDE, Production, and Engineering teams to maintain product supply and introduce new products - Evaluating and following up for timely closure of 8D, deviations, and PPAP approval from suppliers and internal teams - Identifying, investigating, and resolving Supplier technical and system issues related to product or process realization - Analyzing Supplier issues and utilizing statistical and analytical tools for Supplier performance improvement - Implementing measures to improve CAR/CAPA, process efficiency, and engaging the team to achieve closure goals - Troubleshooting closures in coordination with global stakeholders - Assisting in data analysis and business growth for various supplier Quality processes - Providing customer-centric solutions by understanding and anticipating customer requirements - Monitoring and communicating process and supplier performance - Leading project teams, coordinating activities, and providing necessary training - Supporting transitions process through accurate documentation - Acting as a Single Point of Contact (SPOC) for projects and customers - Encouraging and implementing a culture of continuous improvement within the team and at the supplier end - Coordinating between suppliers and internal functions/plants to clarify requirements and improve definition of requirements Qualifications: - BE in Mechanical/Production/Aeronautical/Electrical/Electronics/Industrial Engineering - Minimum 8-10 years of experience in Manufacturing/Process Engineering, APQP, program management, Supplier Development, and Quality - Minimum 4 years of experience in APQP and Supplier Quality Program management Skills: - Experience in working with global customers and suppliers - PMP certification preferred - Knowledge of problem-solving tools, APQP, PPAP, Core Tools, GD&T, AIAG, and Project management - Working knowledge of statistical tools including SPC, Gauge R&R, and capability analysis - Knowledge of manufacturing processes such as Machining, Casting, Forging, Molding, Electrical, and Electronics - Certified Internal Auditor ISO/IATF - Effective communication and influencing skills, interpersonal skills, strong accountability, and escalation management - Time and priority management, presentation skills, decision-making, and problem-solving abilities - Effective collaboration and cross-cultural teamwork,

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 Data Science Manager in Supply Chain & Manufacturing at ZS, you will be part of a passionate team dedicated to transforming ideas into impact by leveraging data, science, technology, and human ingenuity to deliver better outcomes worldwide. You will work side-by-side with experts to develop custom solutions and technology products that drive value and results for clients. **Role Overview:** - Drive client engagements and lead the development and deployment of AI/ML/data science solutions - Lead large scale client delivery engagements in AI projects for the Supply Chain & Manufacturing Industry - Architect and develop predictive models, optimization algorithms, and statistical analyses - Mentor a team of data scientists, providing guidance and support for successful project execution - Drive business development through project delivery and client relationship management - Play a key role in advancing data science capabilities and offerings **Key Responsibilities:** - PhD degree in Computer Science, Statistics, or related discipline - 8+ years of relevant work experience; 10+ years without a PhD - Hands-on experience in applying advanced analytics leveraging AI and ML techniques in Supply Chain areas - Experience leading teams across multiple projects - Proficiency in big data, claims analytics, and advanced analytics concepts - Strong programming background in Python/R - Proven track record in business development - Agile project planning and management experience - Excellent communication, critical thinking, and problem-solving skills **Qualifications Required:** - PhD in Computer Science, Statistics, or related discipline - 8+ years of relevant post-collegiate work experience; 10+ years without a PhD - Hands-on experience in applying advanced analytics leveraging techniques of AI, ML to Supply Chain areas like Demand Planning, Forecasting, Supply Planning, Inventory Management, Logistics - Experience leading a team of data scientists, data engineers, domain experts, LLM engineers, DevOps across multiple projects - Experience with big data, claims analytics, advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, Gen AI, proficiency with large language models etc.); - Relevant programming background (e.g. Python/R); - Proven track record of business development - Agile project planning and project management experience; - Team management and skill development experience; - Relevant domain knowledge preferred; (healthcare, pharma); - Excellent oral and written communication skills; - Strong attention to detail, with a research-focused mindset; - Excellent critical thinking and problem solving skills; By joining ZS, you will have access to a comprehensive total rewards package including health and well-being benefits, financial planning, annual leave, personal growth opportunities, and professional development programs. ZS fosters a collaborative culture that empowers individuals to thrive and grow within the organization. ZS believes in providing a flexible and connected work environment that allows employees to work from home and on-site at clients/ZS offices. This approach enables a balance between planned and spontaneous interactions that drive innovation and collaboration. ZS values diversity and inclusion, encouraging individuals from various backgrounds and experiences to contribute to the team's success. If you are eager to grow, contribute, and bring your unique self to the workplace, ZS welcomes your application. ZS is an equal opportunity employer committed to providing equal employment opportunities without regard to any class protected by applicable law. To apply, candidates must possess or be able to obtain work authorization for their intended country of employment. An online application with transcripts is required for consideration. For more information, visit www.zs.com.,