Duration: 8Months Work Type: Onsite Position Description: Looking for qualified Data Scientists who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, and Optimization. Potential candidates should have hands-on experience in applying first principles methods, machine learning, data mining, and text mining techniques to build analytics prototypes that work on massive datasets. Candidates should have experience in manipulating both structured and unstructured data in various formats, sizes, and storage-mechanisms. Candidates should have excellent problem-solving skills with an inquisitive mind to challenge existing practices. Candidates should have exposure to multiple programming languages and analytical tools and be flexible to using the requisite tools/languages for the problem at-hand. Skills Required: Machine Learning, GenAI, LLM Skills Preferred: Python, Google Cloud Platform, Big Query Experience Required: 3+ years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms Experience Preferred: 3+ years of experience in at least one of the following languages: Python, R, MATLAB, SAS Experience with GoogleCloud Platform (GCP) including VertexAI, BigQuery, DBT, NoSQL database and Hadoop Ecosystem Education Required: Bachelor's Degree

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Experience : Minimum 8 years of experience.

As a Data Analytics Trainer, you will be responsible for delivering engaging and informative training on various data analytics concepts and tools. You will guide learners through the process of analyzing, visualizing, and interpreting data, ensuring they develop the skills necessary to make data-driven decisions. Preference will be given to candidates with Data Science experience, including knowledge of machine learning and advanced data analysis techniques. Key Responsibilities: Training Delivery: Conduct interactive training sessions on topics including data collection, cleaning, analysis, and visualization using tools like Excel, SQL, Python, R, Tableau, Power BI, etc. Curriculum Development: Develop and update training materials and exercises that align with current industry trends and best practices. Learner Support: Offer guidance, feedback, and mentorship to help learners master key concepts and apply them effectively in their careers. Advanced Topics (Preferred): Provide optional or advanced training on machine learning, statistical modeling, and data science topics such as Python libraries (Pandas, NumPy, Scikit-learn) and TensorFlow. Assessment and Evaluation: Design and administer quizzes, tests, and assignments to track learner progress and provide feedback for improvement. Professional Development: Stay updated on the latest trends in data analytics and data science to improve your teaching and course content. Collaboration: Work closely with the training team to ensure seamless course delivery and contribute to the development of new programs. Qualifications: Educational Background: Bachelor's or Masters degree in Computer Science, Data Science, Mathematics, Statistics, or a related field. Experience: 2+ years of experience in data analytics. Experience in teaching or training is highly preferred. Data Science experience is a bonus! Technical Skills: Proficiency in tools such as Excel, SQL, Python, R, Tableau, Power BI, and machine learning libraries (e.g., Scikit-learn, TensorFlow). Strong Communication Skills: Ability to explain complex technical concepts clearly and engage learners. Teaching and Mentoring Skills: Strong presentation and mentoring abilities to help students understand and apply data analytics concepts. Certifications (Preferred): Data analytics or data science certifications (e.g., Google Data Analytics, Microsoft Certified: Data Analyst Associate) are a plus. Additional Preferred Skills: Experience with advanced analytics tools (Hadoop, Spark) or cloud platforms (AWS, Google Cloud). Ability to deliver both in-person and remote training. Familiarity with business applications of data analytics in industries such as healthcare, finance, and marketing.

We are a pioneering company dedicated to Revolutionizing autism with AI-driven solutions. Required Candidate profile Role: Analyze autism treatment data for insights. Develop predictive models to improve outcomes. Use ML to generate recommendations. Communicate findings to stakeholders.

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Experience : Minimum 8 years of experience.

AI/ML Model Development: Design and implement machine learning models and algorithms to address specific business needs. Develop and optimize algorithms for accuracy, efficiency, and scalability. Data Analysis and Preprocessing: Collect, preprocess, and analyze large datasets to extract meaningful insights. Develop data pipelines and maintain data quality for model training and evaluation. Integration and Deployment: Integrate machine learning models into existing systems and applications. Deploy models in production environments and monitor their performance. Research and Innovation: Stay updated with the latest advancements in AI and machine learning technologies. Conduct research to explore new techniques and methodologies that can enhance our solutions. Collaboration: Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to understand requirements and deliver effective solutions. Provide technical guidance and support to team members and stakeholders. Documentation and Reporting: Document model development processes, code, and methodologies. Prepare reports and presentations on model performance and project outcomes.

Design and develop both client-side and server-side architecture. Optimize products for speed, scalability, and security. Troubleshoot, debug, and upgrade software solutions. Implement new features and applications based on the product roadmap. Create and maintain technical documentation. Qualifications: Bachelors degree in Computer Science or a related field. Proficiency in R and Python. Strong experience with JavaScript, HTML, and CSS. Solid understanding of cloud infrastructure and server management. Passionate about creating well-structured products. Ability to quickly learn and adapt to new technologies. Problem-solving skills and a collaborative mindset. 2+ years of experience working with Linux. 1+ years of experience working with databases. Hands-on experience with Docker and APIs. Fluent in both verbal and written English.

Design and develop both client-side and server-side architecture. Optimize products for speed, scalability, and security. Troubleshoot, debug, and upgrade software solutions. Implement new features and applications based on the product roadmap. Create and maintain technical documentation. Qualifications: Bachelors degree in Computer Science or a related field. Proficiency in R and Python. Strong experience with JavaScript, HTML, and CSS. Solid understanding of cloud infrastructure and server management. Passionate about creating well-structured products. Ability to quickly learn and adapt to new technologies. Problem-solving skills and a collaborative mindset. 2+ years of experience working with Linux. 1+ years of experience working with databases. Hands-on experience with Docker and APIs. Fluent in both verbal and written English.

Department : Business Analytics Job Overview: We are seeking a talented R Analytics to join our analytics team. The ideal candidate will possess a strong background in data analysis, statistical modeling, and proficiency in the R programming language. You will be responsible for analyzing complex datasets, providing insights, and developing statistical models to support business decisions. Key Responsibilities: Utilize R programming to analyze large and complex datasets, performing data cleaning, transformation, and analysis. Develop and implement statistical models (regression, time series, classification, etc.) to provide actionable insights. Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies. Visualize data through plots, charts, and dashboards to effectively communicate results to stakeholders. Collaborate with cross-functional teams to define business problems and develop analytical solutions. Build and maintain R scripts and automation workflows for repetitive tasks and analysis. Stay updated with the latest developments in R packages and data science techniques. Present findings and insights to stakeholders through clear, concise reports and presentations. Qualifications : Bachelor's/Master's degree in Statistics, Mathematics, Data Science, Computer Science, or a related field. at least the last 2-5 years in a senior role specifically focusing on R Language, R Studio, and SQL. Strong knowledge of statistical techniques (regression, clustering, hypothesis testing, etc.). Experience with data visualization tools like ggplot2, shiny, or plotly. Familiarity with SQL and database management systems. Knowledge of machine learning algorithms and their implementation in R. Ability to interpret complex data and communicate insights clearly to non-technical stakeholders. Strong problem-solving skills and attention to detail. Familiarity with version control tools like Git is a plus.

Role & responsibilities Interpret data, analyse results using statistical techniques, and provide ongoing reports. Develop and maintain dashboards, reports, and performance metrics that support key business decisions. Identify trends, patterns, and actionable insights from data sets. Collaborate with cross-functional teams to understand business challenges and propose data-driven solutions. Ensure data integrity and accuracy by performing data validation and cleaning. Automate data extraction and reporting processes wherever feasible. Support ad hoc data requests and conduct exploratory data analysis (EDA). Present findings to management and stakeholders in a clear and concise manner. Looking for candidates only from BFSI, Retail, e-Commerce Preferred candidate profile Bachelors/Masters degree in data science, Statistics, Mathematics, Computer Science, or a related field. Proven experience as a Data Analyst or similar role. Strong proficiency in Excel, SQL, and data visualization tools (Power BI). Experience in working with Python/R for data analysis is a plus. Familiarity with statistical methods and data mining techniques. Good understanding of relational databases and data warehousing concepts. Ability to work independently and manage multiple tasks. Excellent communication and presentation skills. Experience in the [BFSI, Retail, e-Commerce]. Knowledge of business process automation or workflow platforms. Exposure to cloud-based data tools (e.g., Azure, AWS, Google BigQuery).

Manage engineering projects, budgets, and timelines to ensure timely completion. Supervise maintenance, automation, and energy conservation initiatives to improve efficiency. Implement Lean/Six Sigma methodologies for process improvement. Required Candidate profile Minimum 5 years of experience in engineering management or a related field. Strong knowledge of process optimization, maintenance, and new project execution. Exp with Lean/Six Sigma methodologies

Required Skills: Strong proficiency in R programming , including data wrangling (dplyr, tidyr, etc.) and data visualization (ggplot2, plotly) . Hands-on experience with Shiny and Shiny Dashboard development. Knowledge of HTML, CSS, and JavaScript to enhance Shiny app front-end functionality. Experience working with RMarkdown , flexdashboard , or shinyWidgets . Familiarity with version control (Git) . Understanding of basic statistical analysis and data modeling . Experience connecting Shiny apps to SQL databases , APIs , or other data sources. Ability to troubleshoot and debug Shiny applications efficiently.

Job Description About Oracle APAC ISV Business Oracle APAC ISV team is one of the fastest-growing and high-performing business units in APAC. We are a prime team that operates to serve a broad range of customers across the APAC region. ISVs are at the forefront of today's fastest-growing industries. Much of this growth stems from enterprises shifting toward adopting cloud-native ISV SaaS solutions. This transformation drives ISVs to evolve from traditional software vendors to SaaS service providers. Industry analysts predict exponential growth in the ISV market over the coming years, making it a key growth pillar for every hyperscaler. Our Cloud engineering team works on pitch-to-production scenarios of bringing ISVs solutions on the Oracle cloud (#oci) with an aim to provide a cloud platform for running their business which is better performant, more flexible, more secure, compliant to open-source technologies and offers multiple innovation options yet being most cost effective. The team walks along the path with our customers and are being regarded as a trusted techno-business advisors by them. Required Skills/Experience Your versatility and hands-on expertise will be your greatest asset as you deliver on time bound implementation work items and empower our customers to harness the full power of OCI. We also look for: Bachelor's degree in Computer Science, Information Technology, or a related field. Relevant certifications in AI Services on OCI and/or other cloud platforms (AWS, Azure, Google Cloud) 8+ years of professional work experience Proven experience with end-to-end AI solution implementation, from data integration to model deployment and optimization. Experience in design, build, and deployment of end-to-end AI solutions with a focus on LLMs and RAG workflows. Proficiency in frameworks such as TensorFlow, PyTorch, scikit-learn, Keras and programming languages such as Python, R, or SQL.Experience with data wrangling, data pipelines, and data integration tools. Hands-on experience with LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc. Knowledge of containerization technologies such as Docker and orchestration tools like Kubernetes to scale AI models. Expertise in analytics platforms like Power BI, Tableau, or other business intelligence tools. Experience working with cloud platforms, particularly for AI and analytics workloads. Familiarity with cloud-based AI services like OCI AI, AWS SageMaker etc Experience with building and optimizing data pipelines for large-scale AI/ML applications using tools like Apache Kafka, Apache Spark, Apache Airflow, or similar. Excellent communication skills, with the ability to clearly explain complex AI and analytics concepts to non-technical stakeholders. Proven ability to work with diverse teams and manage client expectations Solid experience managing multiple implementation projects simultaneously while maintaining high-quality standards. Ability to develop and manage project timelines, resources, and budgets. Career Level - IC4 Responsibilities What Youll Do As a solution specialist, you will work closely with our cloud architects and key stakeholders of ISVs to propagate awareness and drive implementation of OCI native as well as open-source cloud-native technologies by ISV customers. Design, implement, and optimize AI and analytics solutions using OCI AI & Analytics Services that enable advanced analytics and AI use cases. Assist clients to architect & deploy AI systems that integrate seamlessly with existing client infrastructure, ensuring scalability, performance, and security. Support the deployment of machine learning models, including model training, testing, and fine-tuning. Ensure scalability, robustness, and performance of AI models in production environments. Design, build, and deploy end-to-end AI solutions with a focus on LLMs and Agentic AI workflows (including Proactive, Reactive, RAG etc.). Help customer migrate from other Cloud vendors AI platform or bring their own AI/ML models leveraging OCI AI services and Data Science platform. Design, propose and implement solution on OCI that helps customers move seamlessly when adopting OCI for their AI requirements Provides direction and specialist knowledge to clients in developing AI chatbots using ODA (Oracle digital Assistance), OIC (Oracle integration cloud) and OCI GenAI services. Configure, integrate, and customize analytics platforms and dashboards on OCI. Implement data pipelines and ensure seamless integration with existing IT infrastructure. Drive discussions on OCI GenAI and AI Platform across the region and accelerate implementation of OCI AI services into Production

Analyzing genetics, epigenetics, metagenomics, and metabolomics data from high-throughput multiplex assays using advanced computational techniques. Integrating various datasets to address specific biological questions. Designing and developing pipelines for statistical genetics programs encompassing basic and translational research. Writing manuscripts and contributing to various research studies. Managing project deliveries, responding to customer queries, and handling custom requirements. Basic understanding of molecular biology and genomics. Hands-on experience in NGS data analysis (RNA-seq, Exome-seq, ChIP-seq, and downstream analysis). Expertise in programming with Perl/Python. Experience in bioinformatics pipeline design and development. Familiarity with statistical programming (R/Bioconductor/Matlab). Knowledge in WGS, GWAS, and population genomics (preferred). Experience handling big data and managing multiple projects simultaneously. Ability to collaborate with clinical research scientists for project requirements. Capable of working both independently and as part of a team. Skills : - Bioinformatics,genomics Genetics Analysis Epigenetics Metagenomics Metabolomics High-throughput Data Multiplex Assays Computational Techniques Data Integration Biological Data Analysis Statistical Genetics Pipeline Development Translational Research Manuscript Writing Research Contributions Project Management Customer Queries Custom Requirements Bioinformatics Software Genetic Data Processing Data-driven Research Location : - Madhapur, Telangana

3 -6 years of relevant experience as analysts for a computational analytics company or catastrophe modeling Thorough understanding and hands on experience with relational databases such as MS-SQL, with ability to mentor and train others Experience with large data sets analysis and manipulation Experience with statistical, mathematical software packages like R/Python; or generally with analytical software; Good working knowledge in MS Excel; Ability to process geo-spatial data using the standard GIS software, such as QGIS, ArcGIS, etc.Ability to identify patterns and make thorough observations out of numerical data sets and draw mathematical relationships out of it Experience with designing and /or validating numerical probabilistic models in engineering, science, catastrophe modeling, finance, actuarial science, etc. Programming skills to include numerical, scientific and databases programming Proven analytical and problem-solving quantitative abilities Excellent attention to detail and experience working in distributed and global teams with diverse cultural backgrounds Superior verbal and written communication skills, to interface with cross-functional teams that are talented, culturally diverse, global and widely varying technical skill sets Knowledge of product development life cycles to ensure the critical role of quality assurance teams Logical and clear thinker having made sound process driven decisions Multitasking ability with focus on accuracy and efficiency.

Role Description The candidate will be part of the Asset & Liability Management (ALM) function within Treasury responsible for managing the interest rate risk in the banking book (IRRBB). The team develops, parameterizes, and implements quantitative models to measure the risk across a large and diverse portfolio. The results are used for risk management decisions and regular internal and external reporting. The team recommends and executes hedging and optimization strategies. The team acts as an intermediary in treasury itself and between the business units and other central functions like Market Risk Management. This gives you a unique view into many exciting, complex, and important risk management topics.s Your key responsibilities Identify, measure, and monitor structural risk in the Banking book (IRRBB, CSRBB). This impacts both capital and earnings of the bank. Some of the key tasks and responsibilities of this VP role will be the following: Risk Representation : To identify, measure and monitor structural linear and non-linear risk exposures in the banking book portfolios. Assess underlying modelling assumptions and understand implications for risk management. Develop a thorough understanding of the underlying products (assets and liabilities) driving the banking book risk, including behavioral components. Ensuring accuracy and completeness of risk capture as per the governance framework. Stay updated on the latest regulatory developments regarding RIBB and update hedging strategies accordingly. Liaise with various teams to review the regulatory landscape concerning IRRBB and CSRBB metrics. Risk Modelling : Ongoing review, assessment and enhancement of IRRBB metrics like NII and EVE sensitivity. Engage with methodology teams who develop top risk models for NII and EVE sensitivity for different interest rate scenarios. Ensure documentation and implementation of risks not well captured in the IRRBB metrics. Prepare remediation plans to capture risk sensitivity in the IRRBB metrics potentially leading to model enhancements. Risk Hedging : Provide comprehensive risk insights to formulate hedging strategies and support execution. Your skills and experience At least 7 years of relevant experience with Treasury, ALM, or Risk Management of Banking Book. Solid foundation of regulatory environment w.r.t IRRBB, other regulatory capital requirements, and accounting framework. Experience working with senior members across various departments including Treasury, Risk, Product Control, Research, Finance, and Valuations. Strong exposure and practical experience in pricing, valuation or risk management of fixed income products. Good knowledge in data analysis and processing (either of SQL, SAS, R, Python) and statistical analysis. University degree with a quantitative focus (Finance, Mathematics, Computer Science, Statistics) from a premier institute.

About The Role : In Scope of Position based Promotions (INTERNAL only) Job Title:Quantitative Strategist Analyst Location:Mumbai, India Role Description Group Strategic Analytics : Analytics and technology are seen as central to all the main units of the bank, including Investment Bank, Corporate Bank and to Risk and Control functions. The Strategic Analytics team combines expertise in quantitative analytics, modelling, pricing and risk management with deep understanding of system architecture and programming. The primary output is a scalable and flexible Front Office pricing and risk management system with consistent interface to both the Middle Office and Back Office. The consistency in analytics and the technology platform ensures that no arbitrage can exist between various parts of the Bank as well as rational allocation of constrained resources, including risk budget, balance sheet, funding, and capital. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Valuation Control Strats: The candidate is required to work in collaboration with London/New York/Berlin team on various quantitative and regulatory driven projects. Candidate is required to understand the business problem, gather information required for the implementation and provide an end-to-end optimized solution on a scalable platform. Implementation of the project needs to be done in Python programming language. Candidate should possess a very good English communication skill in order to coordinate and communicate work effectively with various stakeholders spread across globe. ROLE RESPONSIBILITIES Development of complex processes, framework or risk analysis as well as improvements Implement, enhance and maintain existing framework to measure market risks across the bank Understand and decipher business problem to convert into manageable smaller problem statements Coordinate and gather information from various stakeholders for deeper understanding of the business Design an automated solution which is optimized and scalable Develop and design tables and databases required for the storage of the data Develop applications/libraries for the implementation of the solution Remediation of regulatory as well as external and internal findings against the MR HS models in line with the assigned tasks Constant awareness and understanding of the key market risks taken by the business areas and communication to senior management and with external stakeholders, challenge the business within assigned areas when required Quality assurance (e.g. 4 eyes principle reviews) Your skills and experience Education/ Qualifications: Strong educational background in Engineering/Science, Economics, Statistics or other numerate discipline preferably from good colleges in India e.g. IIT, NIT, ISI , BITS etc. Good knowledge of financial instruments and markets across all asset classes Knowledge of financial pricing models, risk models would be desirable Certification courses like CFA/FRM/CQF Competencies: Programming Skills At least 2 years hands on experience in Python programming Good knowledge of OOPs programming concepts ( Class, Pointers, Data structure stacks, queue) Experience in pulling data from various Market data sources. Independent handling and mitigating methodological or process weaknesses identified by regulators, auditors and internal model validation team Strong communication skills and presentation ability with attention to detail Good problem solving instincts and strong analytical skills Personal characteristics: Ability to work independently as well as flexibly within intra or inter-departmental groups Continuous advancement of own skills and knowledge Can-Do attitude & Able to cope well under pressure and tight deadlines How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Job Area: Miscellaneous Group, Miscellaneous Group > Data Analyst Qualcomm Overview: Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in. General Summary: About the Team Qualcomm's People Analytics team plays a crucial role in transforming data into strategic workforce insights that drive HR and business decisions. As part of this lean but high-impact team, you will have the opportunity to analyze workforce trends, ensure data accuracy, and collaborate with key stakeholders to enhance our data ecosystem. This role is ideal for a generalist who thrives in a fast-paced, evolving environment"”someone who can independently conduct data analyses, communicate insights effectively, and work cross-functionally to enhance our People Analytics infrastructure. Why Join Us? End-to-End Impact Work on the full analytics cycle"”from data extraction to insight generation"”driving meaningful HR and business decisions. Collaboration at Scale Partner with HR leaders, IT, and other analysts to ensure seamless data integration and analytics excellence. Data-Driven Culture Be a key player in refining our data lake, ensuring data integrity, and influencing data governance efforts. Professional Growth Gain exposure to multiple areas of people analytics, including analytics, storytelling, and stakeholder engagement. Key Responsibilities People Analytics & Insights Analyze HR and workforce data to identify trends, generate insights, and provide recommendations to business and HR leaders. Develop thoughtful insights to support ongoing HR and business decision-making. Present findings in a clear and compelling way to stakeholders at various levels, including senior leadership. Data Quality & Governance Ensure accuracy, consistency, and completeness of data when pulling from the data lake and other sources. Identify and troubleshoot data inconsistencies, collaborating with IT and other teams to resolve issues. Document and maintain data definitions, sources, and reporting standards to drive consistency across analytics initiatives. Collaboration & Stakeholder Management Work closely with other analysts on the team to align methodologies, share best practices, and enhance analytical capabilities. Act as a bridge between People Analytics, HR, and IT teams to define and communicate data requirements. Partner with IT and data engineering teams to improve data infrastructure and expand available datasets. Qualifications Required4-7 years experience in a People Analytics focused role Analytical & Technical Skills Strong ability to analyze, interpret, and visualize HR and workforce data to drive insights. Experience working with large datasets and ensuring data integrity. Proficiency in Excel and at least one data visualization tool (e.g., Tableau, Power BI). Communication & Stakeholder Management Ability to communicate data insights effectively to both technical and non-technical audiences. Strong documentation skills to define and communicate data requirements clearly. Experience collaborating with cross-functional teams, including HR, IT, and business stakeholders. Preferred: Technical Proficiency Experience with SQL, Python, or R for data manipulation and analysis. Familiarity with HR systems (e.g., Workday) and cloud-based data platforms. People Analytics Expertise Prior experience in HR analytics, workforce planning, or related fields. Understanding of key HR metrics and workforce trends (e.g., turnover, engagement, diversity analytics). Additional Information This is an office-based position (4 days a week onsite) with possible locations that may include India and Mexico Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail myhr.support@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Summary: The Crop Monitor Analyst will oversee real-time monitoring of crop health and environmental conditions using agritech devices such as satellite imaging, drones, and soil sensors. This role requires strong analytical skills to interpret data and provide actionable insights to improve farm management practices. Crop Monitoring & Data Collection Utilize satellite imagery, drones, and IoT-based sensors to monitor crop growth and health. Continuously track parameters like soil moisture, temperature, and plant health. Analyze data collected from agritech devices to identify trends and anomalies.Detect issues such as pests, diseases, or nutrient deficiencies and recommend solutions. Utilize GIS tools and remote sensing technologies for precision agriculture analysis. Assess soil moisture levels using sensor data to optimize irrigation schedules.Work closely with the farm management team to ensure efficient water usage. Operate and oversee the use of drones for crop surveillance and application of fertilizers/pesticides. Develop predictive models for crop yield estimation based on historical and real-time data. Prepare detailed reports and dashboards to share insights with farm managers. Proficiency in data analytics tools and software (e.g., Python, R, Excel, GIS applications). Understanding of soil science, plant health, and environmental factors affecting crops. Strong problem-solving and analytical skills. Bachelor's degree in Agriculture, Agronomy, Environmental Science, Data Analytics, or a related field.

Minimum Qualifications: - BA/BSc/B.E./BTech degree from Tier I, II college in Computer Science, Statistics, Mathematics, Economics or related fields - 1to 4 years of experience in working with data and conducting statistical and/or numerical analysis - Strong understanding of how data can be stored and accessed in different structures - Experience with writing computer programs to solve problems - Strong understanding of data operations such as sub-setting, sorting, merging, aggregating and CRUD operations - Ability to write SQL code and familiarity with R/Python, Linux shell commands - Be willing and able to quickly learn about new businesses, database technologies and analysis techniques - Ability to tell a good story and support it with numbers and visuals - Strong oral and written communication Preferred Qualifications: - Experience working with large datasets - Experience with AWS analytics infrastructure (Redshift, S3, Athena, Boto3) - Experience building analytics applications leveraging R, Python, Tableau, Looker or other - Experience in geo-spatial analysis with POSTGIS, QGIS Apply Save Save Pro Insights

Job Title 4G LTE Optimization Expert Experience 7 to 8 yrs Notice period 15 days Location Noida About The Role : We are seeking highly skilled and experienced 4G LTE Optimization Experts to join our team. The ideal candidate will have a strong understanding of 4G LTE network technologies, optimization techniques, and troubleshooting methodologies. Key Responsibilities : Network Performance Optimization : - Analyze network performance metrics (KPIs) to identify areas for improvement. - Optimize network parameters to enhance coverage, capacity, and quality of service. - Troubleshoot network issues and implement corrective actions. - Conduct drive tests and analyze data to identify network performance bottlenecks. Radio Network Planning and Design : - Participate in radio network planning and design activities, including site selection, frequency planning, and antenna configuration. - Perform RF propagation modeling and simulations to predict network performance. Network Configuration and Maintenance : - Configure and maintain 4G LTE network elements, including base stations, core network equipment, and transport networks. - Implement software upgrades and patches to ensure optimal network performance. Troubleshooting and Problem Solving - Diagnose and resolve complex network issues, including radio interference, handover failures, and capacity bottlenecks. - Utilize network management tools and diagnostic techniques to identify and isolate problems. Documentation and Reporting : - Prepare detailed technical documentation, including network design documents, optimization reports, and troubleshooting reports. - Present findings and recommendations to technical and non-technical audiences. Required Skills and Experience : - Strong understanding of 4G LTE technologies, including LTE-Advanced features. - Hands-on experience with network optimization tools and techniques. - Proficiency in using network management systems (e.g., NetAct, OSS). - Knowledge of RF propagation principles and RF optimization tools. - Excellent analytical and problem-solving skills. - Strong communication and interpersonal skills. - Ability to work independently and as part of a team. - 7-8 years of total experience with 4-5 years in LTE. Preferred Qualifications : - Certification in 4G LTE technologies (e.g., Nokia, Ericsson). - Experience with 5G NR technologies. - Knowledge of network automation and orchestration tools. If you are a passionate and dedicated 4G LTE Optimization Expert, we invite you to join our team and contribute to the success of our network. Apply Insights Follow-up Save this job for future reference Did you find something suspiciousReport Here! Hide This Job Click here to hide this job for you. You can also choose to hide all the jobs from the recruiter.

About the Role - We are seeking a highly skilled and experienced Senior Data Scientist to join our data science team. - As a Senior Data Scientist, you will play a critical role in driving data-driven decision making across the organization by developing and implementing advanced analytical solutions. - You will leverage your expertise in data science, machine learning, and statistical analysis to uncover insights, build predictive models, and solve complex business challenges. Key Responsibilities - Develop and implement statistical and machine learning models (e.g., regression, classification, clustering, time series analysis) to address business problems. - Analyze large and complex datasets to identify trends, patterns, and anomalies. - Develop predictive models for forecasting, churn prediction, customer segmentation, and other business outcomes. - Conduct A/B testing and other experiments to optimize business decisions. - Communicate data insights effectively through visualizations, dashboards, and presentations. - Develop and maintain interactive data dashboards and reports. - Present findings and recommendations to stakeholders in a clear and concise manner. - Work with data engineers to design and implement data pipelines and data warehousing solutions. - Ensure data quality and integrity throughout the data lifecycle. - Develop and maintain data pipelines for data ingestion, transformation, and loading. - Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence. - Research and evaluate new technologies and tools to improve data analysis and modeling capabilities. - Explore and implement new data science techniques and methodologies. - Collaborate effectively with data engineers, business analysts, product managers, and other stakeholders. - Communicate technical information clearly and concisely to both technical and non-technical audiences. Qualifications Essential - 4+ years of experience as a Data Scientist or in a related data science role. - Strong proficiency in statistical analysis, machine learning algorithms, and data mining techniques. - Experience with programming languages like Python (with libraries like scikit-learn, pandas, NumPy) or R. - Experience with data visualization tools (e.g., Tableau, Power BI). - Experience with data warehousing and data lake technologies. - Excellent analytical, problem-solving, and communication skills. - Master's degree in Statistics, Mathematics, Computer Science, or a related field Apply Insights Follow-up Save this job for future reference Did you find something suspiciousReport Here! Hide This Job Click here to hide this job for you. You can also choose to hide all the jobs from the recruiter.

Job Position Python Lead Total Exp Required 6+ years Relevant Exp Required around 5 Mandatory skills required Strong Python coding and development Good to have skills required Cloud, SQL , data analysis skills Location Pune - Kharadi - WFO - 3 days/week. About The Role : We are seeking a highly skilled and experienced Python Lead to join our team. The ideal candidate will have strong expertise in Python coding and development, along with good-to-have skills in cloud technologies, SQL, and data analysis. Key Responsibilities : - Lead the development of high-quality, scalable, and robust Python applications. - Collaborate with cross-functional teams to define, design, and ship new features. - Ensure the performance, quality, and responsiveness of applications. - Develop RESTful applications using frameworks like Flask, Django, or FastAPI. - Utilize Databricks, PySpark SQL, and strong data analysis skills to drive data solutions. - Implement and manage modern data solutions using Azure Data Factory, Data Lake, and Data Bricks. Mandatory Skills : - Proven experience with cloud platforms (e.g. AWS) - Strong proficiency in Python, PySpark, R, and familiarity with additional programming languages such as C++, Rust, or Java. - Expertise in designing ETL architectures for batch and streaming processes, database technologies (OLTP/OLAP), and SQL. - Experience with the Apache Spark, and multi-cloud platforms (AWS, GCP, Azure). - Knowledge of data governance and GxP data contexts; familiarity with the Pharma value chain is a plus. Good to Have Skills : - Experience with modern data solutions via Azure. - Knowledge of principles summarized in the Microsoft Cloud Adoption Framework. - Additional expertise in SQL and data analysis. Educational Qualifications Bachelor's/Master's degree or equivalent with a focus on software engineering. If you are a passionate Python developer with a knack for cloud technologies and data analysis, we would love to hear from you. Join us in driving innovation and building cutting-edge solutions! Apply Insights Follow-up Save this job for future reference Did you find something suspiciousReport Here! Hide This Job Click here to hide this job for you. You can also choose to hide all the jobs from the recruiter.

Responsibilities : - Gather data from various sources (databases, spreadsheets, APIs, etc. - Identify, clean, and transform data to ensure accuracy, consistency, and integrity. - Develop and maintain data pipelines and processes for efficient data handling. - Conduct exploratory data analysis to identify trends, patterns, correlations, and anomalies. - Apply statistical techniques and data visualization tools to analyze datasets. - Interpret data and provide meaningful insights and recommendations. - Develop and maintain reports, dashboards, and other data visualizations to communicate findings effectively. - Work closely with stakeholders from different departments to understand their data needs and business questions. - Present data findings and insights in a clear and concise manner to both technical and non-technical audiences. - Participate in discussions and contribute to data-driven decision-making processes. - Document data sources, methodologies, and analysis processes. - Utilize data analysis tools and software such as Excel, SQL, and data visualization platforms (i.e. Tableau, Power BI). - Learn and adapt to new data analysis tools and technologies as needed. - May involve basic scripting or programming for data manipulation (i.e. Python). - Identify opportunities to improve data collection, analysis, and reporting processes. - Stay updated on the latest trends and best practices in data analysis. - Contribute to the development of data governance and quality standards. Qualifications - Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline. - 1-3 years of professional experience in a data analysis role. - Strong understanding of statistical concepts and data analysis techniques. - Proficiency in SQL for querying and manipulating data from databases. - Excellent skills in Microsoft Excel, including advanced formulas and data manipulation techniques. - Experience with at least one data visualization tool such as Tableau, Power BI, or similar. - Ability to interpret data, identify patterns, and draw meaningful conclusions. - Strong analytical and problem-solving skills. - Excellent communication and presentation skills, with the ability to explain technical findings to non-technical audiences. - Strong attention to detail and a commitment to data accuracy. - Ability to work independently and as part of a team. Preferred Skills - Experience with programming languages such as Python (especially libraries like Pandas, NumPy, Matplotlib, Seaborn). - Familiarity with cloud-based data platforms (i.e., AWS, Azure, GCP). - Experience with data warehousing concepts. - Knowledge of statistical software packages (i.e., R, SPSS). - Experience with different data modeling techniques. - Exposure to machine learning concepts. - Experience working with specific industry data (i.e., marketing, sales, finance) Apply Insights Follow-up Save this job for future reference Did you find something suspiciousReport Here! Hide This Job Click here to hide this job for you. You can also choose to hide all the jobs from the recruiter.

Key Responsibilities - Develop, implement, and maintain applications using Langchain and Core Python. - Design and integrate APIs using FAST API and manage backend services. - Collaborate with front-end developers using JavaScript, Node.js, and React to build seamless applications. - Leverage Azure Functions and Azure Logic Apps to automate workflows. - Write and optimize queries in T-SQL. - Ensure code quality, security, and scalability. - Stay updated with emerging technologies and recommend tools that enhance development efficiency. Required Skills - Strong expertise in Python development with hands-on experience in Langchain. - Experience with JavaScript, Node.js, and React. - Familiarity with Azure Functions and Azure Logic Apps. - Experience with T-SQL and FAST API. Apply Insights Follow-up Save this job for future reference Did you find something suspiciousReport Here! Hide This Job Click here to hide this job for you. You can also choose to hide all the jobs from the recruiter.