1830 Data Mining Jobs - Page 36

Identify, analyze, and interpret trends or patterns in complex data sets. Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems. Work with management to prioritize business. Required Candidate profile Knowledge of and experience with reporting packages databases (SQL etc), programming (XML, Javascript, or ETL frameworks). Adept at queries, report writing and presenting findings. Perks and benefits Flexible work arrangements.

Identify, analyze, and interpret trends or patterns in complex data sets. Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems. Work with management to prioritize business. Required Candidate profile Knowledge of and experience with reporting packages databases (SQL etc), programming (XML, Javascript, or ETL frameworks). Adept at queries, report writing and presenting findings. Perks and benefits Flexible work arrangements.

we're seeking a future team member for the role of Director, OPS Data Transfer, Integration & Quality to help accelerate with the data journey for Income & Corporate Action. This role is in Pune, MH - HYBRID role. In this role, you'll make an impact in the following ways: Mine & analyze data to uncover trends, connections between disparate data & new business opportunities Define the Custody Breaks (fix at source) strategy, through Data mining; leverage intelligent automation (IA) tools and storytelling. Apply IA tools to expedite with the remediation book of work Path to Zero Develop data-driven stories to help define Future state Operating Model to eliminate breaks at source Collaborate with cross-functional teams to solve complex problems & drive innovation Create interactive & dynamic dashboards using various visualization tools Stay up to date with emerging trends in data science & intelligent automation Demonstrate a strong attitude to learn & adapt to new technologies / develop functional knowledge Fail Fast: Foster a culture of continuous experimentation To be successful in this role, we are seeking the following: Bachelors degree in computer science engineering or a related discipline, or equivalent work experience required. 12 to 15 years of experience Strong oral & written communication skills Technical Skills (Pre-requisite): Proficiency in tools like Celonis, PowerBi, Tableau, Alteryx & X-Ceptor is required Ability to resolve complex issues and partner with stakeholders in uncertain environment Knowledge in data warehousing / data lakes will be valued (Not a must). Experience in the securities or financial services industry is a plus. Should enjoy quick prototyping, building Intelligent Automation (IA) tools to improve end to end process Develop a strong connect with all stakeholders. Work with internal business groups on implementation opportunities, challenges, and requirements. Comply with BNY standard development methodology

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

Apex 2000 INC is looking for Data Analyst to join our dynamic team and embark on a rewarding career journey Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analysis. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing.

Job Title: Analyst, Global Analytics Job Description Location: Gurugram - SP Infocity - WFO. Candidate should be willing to relocate to Gurgaon. About Concentrix Concentrix Corporation (Nasdaq: CNXC), is a leading global provider of customer experience (CX) solutions and technology, improving business performance for some of the world s best brands including over 100 Fortune Global 500 clients and over 115 global disruptor clients. Every day, from more than 40 countries and across 6 continents, our staff delivers next generation customer experience and helps companies better connect with their customers. We create better business outcomes and help differentiate our clients through technology, design, data, process, and people. Concentrix provides services to clients in our key industry verticals: technology & consumer electronics; retail, travel & ecommerce; banking, financial services & insurance; healthcare; communications & media; automotive; and energy & public sector. Visit www.concentrix.com to learn more. About Concentrix Analytics: For more information, please visit Analytics & Consulting | Concentrix Position Overview - We are seeking a highly motivated and analytical data analyst to join our team. The primary responsibility of the role is to collect, analyze , interpret , visualize and storytel Workforce data to provide intelligent and actionable insights and recommendations to support informed decision-making related to human resource and workforce management Responsibilities : Understands Operational Delivery data and KPIs which matter the most to improving CX, and EX. Assesses current business performance against the business strategy for a specific site and/or function through rigorous data analytics and validation. Design data analysis models to mine enterprise systems and applications for knowledge and information that enhances business processes. Demonstrate experience & expertise in applying contemporary improvement techniques and producing results for a function and/or business unit. Works with multiple teams of business practitioners across Operations, and Shared Services to synthesize data findings, articulate solutions to business problems clearly, develop improvement recommendations and lead execution of initiatives. Display the ability and talent to showcase and present findings to management. Leads / collaborates in Value driven projects based on Lean, Six Sigma, Agile or any other discipline. Technology Stack Experience - Data Visualization & Story Telling using Google Sheets, Google Slides and advanced Excel Six Sigma, Predictive Analytics and BI Dashboards dev (e.g. Tableau, Looker, Power BI, etc.) Experience in Workforce Management or similar environment (Preferred but not mandatory) Basic SQL and VBA Location: IND Gurugram - Industrial Plot No. 243, 1st, 3rd, 4th, 5th & 7th Floors Language Requirements: Time Type: Full time

ESSENTIAL DUTIES AND RESPONSIBILITIES Develop data science solutions using Python and deep learning frameworks like Tensorflow and PyTorch Perform fast-paced analytical and data mining tasks to investigate all facets of a business problem Work alongside domain experts and get relevant knowledge about the core engg process involved in HDD design and manufacturing Create high quality presentations to communicate technical output to senior stakeholders Youll be part of a niche team embedded in factory operations working to optimize manufacturing processes for lower cost and higher revenue Deliver on cutting-edge data science algorithms and cloud architecture for production deployment Work with cross functional teams to develop ML capabilities in HDD products Self-motivated to work both unsupervised and as part of an agile team. Collaborate to develop self and others within group. Participate in planning and coordinating significant technical investigations from problem statement to conclusions. Required Master Degree in data science 2026 Passout. Candidate using deep learning in their research work are also encouraged to apply. Solid experience with data wrangling in Python (Pandas/NumPy). Exp

Job Description What you will bring: Deep techno-functional experience in SAP- MM / FI+CO / Integrations & invoice automation tool - Readsoft, in particular Knowledge of integrations with 3rd party applications. Process & Data mining expertise Ability to execute Mergers & Acquisitions & integrate systems with Mdlz landscape Good knowledge of SCF processes & mapping of the process to Mdlz SAP environment. Project Management Business acumen & Stakeholder Management skills Translation of business questions and requirements into technology-based solution Strong focus in building cost effective innovations in solutions with emerging technology trends Job specific requirements: Hands on techno functional SAP (ECC & S/4) experience of 8~10 years in the Accounts Payables domain Decent experience of using Invoice automation tools like Readsoft. Support non-discretionary projects like E-Invoicing/tax/Legal globally while leveraging an external partner strategy. Work with our partners to build robust system enhancements & controls. This role has a close connect with MDS Ops organization. It is expected that there will be key stakeholder management within the MDS Ops Organization as a part of this role. Process mining experience with partners like Celonis Knowledge of banking interfaces with SAP along with interfaces like PI/PO, Mulesoft etc between applications. Own the relationship with the external vendors for AP like Tungsten/Edicom Monitor & report on critical KPIs Partners with Towers and business stakeholders to understands the business requirements for implementation of STP projects/enhancements and translate them into technical requirements and design the same independently. Accountable for best practice deployment with Enterprise architects, ensuring that new solution is cost optimized and easy to maintain Work schedule: 3 days work from office / week No Relocation support available Business Unit Summary Job Type Regular Software & Applications Technology & Digital

. How you ll make an impact: Design, develop, and maintain interactive and insightful Power BI reports and dashboards. Connect to various data sources, perform data modeling, and implement complex DAX calculations to provide meaningful business intelligence. Build custom low-code/no-code applications using Power Apps to streamline business processes, improve data collection, and enhance user experience. Design and implement automated workflows using Power Automate to integrate disparate systems, automate repetitive tasks, and improve operational efficiency. Apply statistical analysis, data mining, and data visualization techniques to explore complex datasets, identify trends, and derive actionable insights. Develop and deploy machine learning models (e.g., predictive analytics, classification, clustering) and integrate AI capabilities (e.g., cognitive services) into Power Platform solutions to enhance their intelligence and functionality. Collaborate with data engineers and source system owners to ensure data quality, consistency, and accessibility for analytics and AI initiatives. Perform data cleaning, transformation, and feature engineering. Work closely with stakeholders to understand business requirements, translate them into technical specifications, and design comprehensive solutions leveraging the appropriate technologies. Identify and resolve issues within existing Power Platform applications and data models and continuously seek opportunities to optimize performance and user experience. Create clear and concise technical documentation and provide training to end-users on developed solutions. Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines. Living Hitachi Energy s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business. Your Background: Bachelors degree in computer science, Data Science, Engineering, Statistics, or a related quantitative field. 3-5 years of professional experience in a role involving data analytics, business intelligence, or software development with a focus on data-driven solutions. Strong experience in data modeling, DAX, report design, and connecting to various data sources (SQL, SharePoint, Excel, APIs, etc.). Building canvas apps and/or model-driven apps, connecting to data sources, and implementing business logic. Knowledge of common ML algorithms (e.g., regression, classification, clustering) and experience in building, training, and deploying models. Exposure to pre-built AI models, cognitive services, or integrating AI capabilities. .

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary . In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive datadriven decisionmaking. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . & Summary . A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. s Develop and maintain web applications using Angular, and React. Collaborate with crossfunctional teams to define, design, and ship new features. Participate in code reviews to maintain highquality code. Troubleshoot and resolve software defects and issues. Ensure the performance, quality, and responsiveness of applications. Stay updated with the latest industry trends and technologies to ensure our solutions remain cuttingedge. Qualifications Bachelors or masters degree in computer science, Engineering, or a related field. 48 years of professional experience in software development. Proficiency in .React and Nodeprogramming. Strong experience with frontend technologies, specifically Angular and React. Familiarity with RESTful APIs and web services. Solid understanding of version control systems, such as Git. Excellent problemsolving skills and attention to detail. Strong communication and teamwork skills. Preferred Skills Experience with cloud platforms such as Azure. Experience in Agile/Scrum development environments. Proficient in SQL and Stored procedures Mandatory skill sets .Net, SQL, C# Preferred skill sets .Net, SQL, C# Years of experience required 7 12 Education qualification B.Tech / M.Tech / MBA / MCA Education Degrees/Field of Study required Master of Business Administration, Master of Engineering, Bachelor of Engineering Degrees/Field of Study preferred Required Skills Structured Query Language (SQL) Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, DataDriven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more} Travel Requirements Government Clearance Required?

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary In SAP data and analytics at PwC, you will specialise in providing consulting services for data and analytics solutions using SAP technologies. You will analyse client requirements, design and implement data management and analytics solutions, and provide training and support for effective utilisation of SAP data and analytics tools. Working in this area, you will work closely with clients to understand their data needs, develop data models, perform data analysis, and create visualisations and reports to support datadriven decisionmaking, helping them optimise their data management processes, enhance data quality, and derive valuable insights from their data to achieve their strategic objectives. Why PWC At PwC , you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC , we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. s Handson experience in SAP BW/4HANA or SAP BW ON HANA and strong understanding of usage of objects like Composite providers, Open ODS view, advanced DSOs, Transformations, exposing BW models as HANA views, mixed scenarios, and performance optimization concepts such as data tiering optimization. 510 years experience on SAP BW. Experience in integration of BW with various SAP and NonSAP backend systems/sources of data and good knowledge of different data acquisition techniques in BW/4HANA. knowledge of available SAP BW/4HANA tools and its usage like BW/4HANA Web Cockpit. full life cycle Implementation experience in SAP BW4HANA or SAP BW on HANA Hands on Experience in data extraction using standard or generic data sources. Good Knowledge of data source enhancement Strong experience in writing ABAP/AMDP code for exits, Transformation. Strong understanding CKF, RKF, Formula, Selections, Variables and other components used for reporting. Understanding of LSA/LSA++ architecture and its development standards. Good understanding of BW4 Application and Database security concepts. Functional Knowledge of various Modules like SD, MM, FI. Mandatory skill sets SAP SAC/SAP Native Hana/SAP SAC Preferred skill sets SAP SAC/SAP Native Hana/SAP SAC Years of experience required 410 Education qualification Btech/MBA/MCA Education Degrees/Field of Study required Master of Business Administration, Bachelor of Technology Degrees/Field of Study preferred Required Skills SAP EPM SAP Analytics Cloud (SAC) Planning & Forecasting Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Communication, Complex Data Analysis, Creativity, Data Analysis Software, Data Collection, DataDriven Consulting, Data Integration, Data Mining, Data Modeling, Data Preprocessing, Data Quality, Data Quality Improvement Plans (DQIP), Data Security, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Learning Agility, Optimism {+ 10 more} Travel Requirements Government Clearance Required?

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary . In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive datadriven decisionmaking. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . & Summary Seeking a skilled and passionate React.js Developer to join our team with 58 years of experience. The ideal candidate should have a strong foundation in frontend development and a keen eye for delivering dynamic, highperformance web applications. You will collaborate closely with designers, backend developers, and product managers to build innovative solutions that enhance user experiences. Job Position Title UI Developer s Develop and maintain responsive web applications using React.js Collaborate with UI/UX designers to ensure technical feasibility of designs Write clean, maintainable, and scalable code, following best practices Integrate RESTful APIs and thirdparty services into applications Troubleshoot and debug application issues in a timely manner Mandatory skill sets ReactJs Angular Javascript HTML/CSS5 Preferred skill sets React JS, Angular Years of experience required 58 years Education qualification BE/B.Tech/MBA/MCA Education Degrees/Field of Study required Bachelor of Engineering, Master of Business Administration Degrees/Field of Study preferred Required Skills React.js Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, DataDriven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more} No

& Summary . In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive datadriven decisionmaking. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations & Summary A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities Position Azure Cloud Migration Engineer / Senior Associate Experience 58 Years Location Hyderabad Type Full Time Certifications Azure Solutions Architect Expert About the Role We are seeking a handson Data Engineer with 58 years of experience specializing in onpremises database migration to cloud. The ideal candidate will have a strong background in cloud migration whether onpremises to Azure cloud, or cloud to Azure cloud. Key Responsibilities Should have experience of database migration strategy and related technologies. Experience of Microsoft SQL DB migration from onprem to cloud platform. Experience of any other cloud (e.g. AWS or GCP) to Azure cloud platform. Review Database migration plans, provide recommendation and liaise with Customer and Migration Factory for successful migrations. Ability to identify and resolve performance issues postmigration Required Skills Knowledge in using tools like Azure Data Studio, Azure DMA, Azure DMS, Azure SQL/MI Familiarity with migrating SSIS packages using ADF. SSMA Migration Tool, Database migration using SSIS Packages Indepth knowledge of SQL, TSQL and programming experience with stored procedures, triggers, functions, etc. Stronger performance tuning (partitioning, exec plans, indexing etc.), data modeling experience and dacpac deployment experience, Stored Procedures Optimization Extensive experience with Azure Data Services, including Azure Data Factory, Azure SQL Data Warehouse, and Synapse Analytics. Strong understanding of database architecture principles and best practices. Preferred Qualifications Azure Solutions Architect Expert certification. Knowledge of SQL Clustering/Always on Availability Groups, Azure SQL, SQL MI Experience of CTS/Migration technologies. (Rehost/Clean Deployments) Should have exp on Azure project and GitHib as Code Repo Knowledge of setting up High Availability & Disaster Recovery configuration. Experience in setting up Always ON Availability Groups & Zone Redundant Storage Familiarity with Azure DevOps (ADO) for (CI/CD) pipelines, Infrastructure as Code (IaC) tools like Terraform for deploying container apps and associated services Knowledge of security best practices and compliance requirements for cloudbased applications Backup/recovery, Security related activities, Audit tracking and reporting Maintaining and supporting, monitoring production and test environments Implementing of High Availability such as Clustering, Database Mirroring, Log Shipping, and Replication Mandatory skill sets Knowledge in using tools like Azure Data Studio, Azure DMA, Azure DMS, Azure SQL/MI Familiarity with migrating SSIS packages using ADF. SSMA Migration Tool, Database migration using SSIS Packages Indepth knowledge of SQL, TSQL and programming experience with stored procedures, triggers, functions, etc. Additional skill sets preferred Azure Solutions Architect Expert certification. Knowledge of SQL Clustering/Always on Availability Groups, Azure SQL, SQL MI Experience of CTS/Migration technologies. (Rehost/Clean Deployments) Should have exp on Azure project and GitHib as Code Repo Years of experience required Experience 58 Years Education qualification B.Tech / M.Tech / MCA/MBA Education Degrees/Field of Study required Master of Engineering, Bachelor of Engineering Degrees/Field of Study preferred Required Skills Microsoft Azure Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Coaching and Feedback, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, DataDriven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling {+ 43 more} No

Job Description Job Profile - Lead, Data Scientist We are looking for a passionate ML /AI Lead Data Scientist with demonstrated thought-leadership & proven ability to lead the development of analytics-focused products and utilizing cutting edge machine learning, natural language processing, and mathematical techniques to drive powerful business results. You will have the opportunity to work with a wide range of stakeholders and functional teams to help them discover insights hidden in data sets and enable stakeholders to improve business. AI ethics, fairness and secure development practices are also our focus areas. Responsibilities Partners with lines of business to understand business problems and translate them into identifiable machine learning problems which can be delivered as technical solutions and actionable recommendations across the organization Coordinate with business teams to monitor outcomes and refine/ improve the machine learning models Work across the spectrum of statistical modelling including supervised, unsupervised, & deep learning techniques to apply the right level of solution to the right problem Collaborate & share best practices with data and software engineers to enable consistent deployment of high-quality models that will scale across the company s ecosystem Own the code review process to ensure stringent coding guidelines are met by other data scientists & data engineers Mentor & lead Data Science engineers in choosing the right machine learning approach/ models & utilizing open source languages such as R, Python, etc. Lead data mining and collection procedures for all business use cases and guarantee data quality and integrity Utilize Data visualization tools to deliver insights to stakeholders and present technical solutions to non-technical audience in a simple and clear manner Track emerging developments w.r.t technology, tools, practices, etc in the open source, data science/machine learning/chatbot domain and leverage same for Schneider Electric Build frameworks leveraging APIs to industrialize AI models across the organization Adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Git, GitHub, Markdown) Requirements and Skills You should have bachelor s or Master s degree in Computer Science, Statistics or Mathematics, Informatics, Information Systems or another quantitative field You should have experience in solving real life complex business problems using machine learning. Hands-on experience in deploying these machine learning solutions to production is mandatory. In depth understanding of NLP, LLM, Generative AI, RAG application development. In-depth understanding and modeling experience in supervised, unsupervised, reinforcement and deep learning models; hands-on knowledge of data wrangling, data cleaning/ preparation, dimensionality reduction is required Knowledge of vector algebra, statistical and probabilistic modelling is highly desirable Exploratory data analysis and hypothesis testing to identify ML opportunities is a plus Experience in major machine learning frameworks such as Pytorch, Scikit-Learn, Tensorflow, Pandas, SparkML etc. Fluency in programming skills such as Python, R, or other equivalent languages Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is desirable Experience working with Amazon SageMaker or Azure ML Studio for deployments is required Experience in data visualization software such as Tableau, ELK, etc is a plus Strong analytical and critical thinking skills. You should also have a business mindset, swift to identify risk situations and opportunities, and able to generate creative solutions to business problems Effective communication skills (written and verbal) to properly articulate complicated statistical models/ reports to management and other IT development partners About Us Schneider Electric creates connected technologies that reshape industries, transform cities and enrich lives. Our 144,000 employees thrive in more than 100 countries. From the simplest of switches to complex operational systems, our technology, software and services improve the way our customers manage and automate their operations. Help us deliver solutions that ensure Life Is On everywhere, for everyone and at every moment: Great people make Schneider Electric a great company. We seek out and reward people for putting the customer first, being disruptive to the status quo, embracing different perspectives, continuously learning, and acting like owners. We want our employees to reflect the diversity of the communities in which we operate. We welcome people as they are, creating an inclusive culture where all forms of diversity are seen as a real value for the company. We re looking for people with a passion for success on the job and beyond. Qualifications Responsibilities Partners with lines of business to understand business problems and translate them into identifiable machine learning problems which can be delivered as technical solutions and actionable recommendations across the organization Coordinate with business teams to monitor outcomes and refine/ improve the machine learning models Work across the spectrum of statistical modelling including supervised, unsupervised, & deep learning techniques to apply the right level of solution to the right problem Collaborate & share best practices with data and software engineers to enable consistent deployment of high-quality models that will scale across the company s ecosystem Own the code review process to ensure stringent coding guidelines are met by other data scientists & data engineers Mentor & lead Data Science engineers in choosing the right machine learning approach/ models & utilizing open source languages such as R, Python, etc. Lead data mining and collection procedures for all business use cases and guarantee data quality and integrity Utilize Data visualization tools to deliver insights to stakeholders and present technical solutions to non-technical audience in a simple and clear manner Track emerging developments w.r.t technology, tools, practices, etc in the open source, data science/machine learning/chatbot domain and leverage same for Schneider Electric Build frameworks leveraging APIs to industrialize AI models across the organization Adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Git, GitHub, Markdown) Requirements and Skills You should have bachelor s or Master s degree in Computer Science, Statistics or Mathematics, Informatics, Information Systems or another quantitative field You should have 7+ years of experience in solving real life complex business problems using machine learning. Hands-on experience in deploying these machine learning solutions to production is mandatory. In depth understanding of NLP, LLM, Generative AI, RAG application development. In-depth understanding and modeling experience in supervised, unsupervised, reinforcement and deep learning models; hands-on knowledge of data wrangling, data cleaning/ preparation, dimensionality reduction is required Knowledge of vector algebra, statistical and probabilistic modelling is highly desirable Exploratory data analysis and hypothesis testing to identify ML opportunities is a plus Experience in major machine learning frameworks such as Pytorch, Scikit-Learn, Tensorflow, Pandas, SparkML etc. Fluency in programming skills such as Python, R, or other equivalent languages Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is desirable Experience working with Amazon SageMaker or Azure ML Studio for deployments is required Experience in data visualization software such as Tableau, ELK, etc is a plus Strong analytical and critical thinking skills. You should also have a business mindset, swift to identify risk situations and opportunities, and able to generate creative solutions to business problems Effective communication skills (written and verbal) to properly articulate complicated statistical models/ reports to management and other IT development partners Schedule: Full-time Req: 009G5J

Job description The Energy business line of Vaisala is working to speed the adoption of wind and solar power around the world through better and more cost effective measurement technologies and information services. We are now looking for a Sales Manager for Renewable Energy Business. In this position the focus region is India and you would be working from our New Delhi India location. Your main responsibility is to be part of the team tasked with developing and growing the sales of Vaisala Renewable Energy business in your region. This role includes prospecting, investigation, consultative selling and assisting our development teams in creating a better offering for our customers. This role requires a highly motivated self-driven person who is willing to work in fast changing conditions. Key responsibilities of the role include: Sell Vaisala suite of Weather Resource Data Tools, Consulting Services and Measurement Equipment to the Renewable Energy market comprised of OEM, IPP and Financial Institutions. Manage assigned Key Accounts in your territory Create and Implement the sales strategy to win new customers Achieving sales budget and Gross Margin targets. To be successful in this role, we re seeking for a candidate with the following qualifications: Strong knowledge of the Renewable Energy (wind and solar) market specifically in the areas of Resource Assessment, Resource Measurement and Renewable Energy production forecasting. 8 years of consultative selling experience with minimum 5 years of successful sales track record in the Renewable Energy sector Knowledge of contract practices for consulting services and capital equipment sales. Good networking and influencing skills Willingness to travel Fluent English You are an outstanding Sales Manager with unstoppable drive. You are competitive by nature with ability to win. You always put the customer first. You also understand that the good co-operation with different stakeholders is a must. Further Information: We offer a challenging work environment in a growing business with competitive compensation and benefits. At Vaisala the successful candidate will have the opportunity to work with interesting, motivated, and professional people within an organization that strongly supports personal growth and continued development. Please submit your application with cover letter, resume/CV and salary request by filling the online application form by June 20, 2017. Industry Electrical/Electronic Manufacturing and Renewables & Environment Employment type Full-time Experience Mid-Senior level Job function Sales Meet Vaisala Media Company Vaisala has been predicting the unpredictable for over 80 years. We are a global leader in weather and industrial measurements, and our technologies can be found in demanding environments from hospitals, national parks and data centers to airports and wind farms all over the world, and beyond, as even the Mars Rover Curiosity is equipped with our sensors. Vaisala plays an invisible yet indispensable role in people s lives worldwide by providing a range of innovative, high-quality solutions and services we simply could not do without. Headquartered in Finland, the company employs 1,600 professionals worldwide and is listed on the NASDAQ OMX Helsinki. Related posts: 35 0 0 Editor - EQ Int'l Media Network Related Posts

Job Description: Responsible for framing Solutions for EISBG Design and develop EISBG solution prepositions Developing new Applications and Solution pitch for Business Team Provide up to date technical information , Sales collaterals and Product information to Solution Sales team Responsible for all technical aspects of infrastructure Sales cycle from pre sales discussion , solution design ,pricing and proposals to handover to support & Projects implementation department Resolve Level 3 infrastructure support issues related to design Focusing on meeting the customer s needs Provide the design and cost structure to Business Liaison with industry consultants to understand the technology trends Interact with Product teams to understand Road map and guide in requirement of the region in consultation with Business team Interact with Supply chain to provide specs for cost structure for outsource products Skill Sets & Expertise: Go getter and early opportunity spotter Innovation and creativity Strong Business analysis skills Strong interpersonal skills Team player and good leadership, communication qualities Experience: Around 12~15 Years of total experience in framing Solutions , Min 8 years experience Energy Sector Strong knowledge of Power electronics Hardware and software s Education: Bachelor Degree in Electrical or Electronics Engineering

Secondary research from Public data sources Use automated tools to extract data Good analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy. Hands on experience on tools like LinkedIn, Hoovers, Zoominfo etc.. Strong knowledge of MS Office (Excel, Word) is a must.

Secondary research from Public data sources Use automated tools to extract data Good analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy. Hands on experience on tools like LinkedIn, Hoovers, Zoominfo etc.. Strong knowledge of MS Office (Excel, Word) is a must.

Mapping market and businesses Define and assess synergies/business plans , Data mining Deliver in a project management environment, with multiple tasks, diverse requirements, and a broad stakeholder base Advisory

Roles and Responsibilities Mapping market and businesses Define and assess synergies/business plans,Data mining Deliver in a project management environment, with multiple tasks, diverse requirements, and a broad stakeholder base Advisory - help clients position their organizations to win in an evolving, competitive marketplace.

Mapping market and businesses Define and assess synergies/business plans,Data mining Deliver in a project management environment, with multiple tasks, diverse requirements, and a broad stakeholder base Advisory - help clients position their organizations to win in an evolving, competitive marketplace.

At Amazon, we strive to be Earth s most Customer-Centric company where people can find and discover anything they want to buy online. We hire the world s brightest minds, offering them an environment in which they can relentlessly improve the experience for customers. Innovation and creativity are built into the DNA of the company and are encouraged at all levels of employment. Every day we solve complex technical and business problems with ingenuity and simplicity. We re making history every day and the good news is its still Day 1 for us. Job Title: Research Analyst ( ICQA) Location: Hyderabad Summary: Amazon is a highly data driven company highly obsessive about metrics. The Data analysts play a crucial role in creating unique reports from data available in multiple locations and providing vital insights into the root cause of quality defects and inventory adjustments. Job Deliverables: Daily/ weekly/ monthly Research activities: Data mining and understand the reasons for Quality Defects Prepare and publish daily/ weekly/ monthly reports on inventory quality ( IRDR/ Large adjustments/ Unmatched X, Top20 reports/ HRV adjustments etc) Bin Management and control ( creation/ addition/ deletion/ bin locks) Conduct daily training and also will be responsible to conduct daily skill huddles Quality Feedback to associates Stand-in for Process Associate and the Area Manager. Note: Research Analyst should work mostly in the operational floor. Skills required: Knowledge of problem solve tools Good in SQL Queries, math and data analytics Proficiency in MS Excel ( knowledge of macros is an added advantage) Candidates should be willing to work in Night Shift based on requirements A day in the life About the hiring group Job responsibilities Job Deliverables: Daily/ weekly/ monthly Research activities: Data mining and understand the reasons for Quality Defects Prepare and publish daily/ weekly/ monthly reports on inventory quality ( IRDR/ Large adjustments/ Unmatched X, Top20 reports/ HRV adjustments etc) Bin Management and control ( creation/ addition/ deletion/ bin locks) Conduct daily training and also will be responsible to conduct daily skill huddles Quality Feedback to associates Stand-in for Process Associate and the Area Manager. Note: Research Analyst should work mostly in the operational floor. Skills required: Knowledge of problem solve tools Good in mySQL Queries, math and data analytics is must Proficiency in MS Excel ( knowledge of macros is an added advantage) Candidates should be willing to work in Night Shift based on requirements Bachelors degree Speak, write, and read fluently in English

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

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Pune, Maharashtra, India; Mumbai, Maharashtra, India; Hyderabad, Telangana, India; Bengaluru, Karnataka, India Minimum qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, a related field, or equivalent practical experience 10 years of experience in Big Data, Data Warehouse, Data Modelling, Data Mining and Hadoop Experience in building multi-tier, high availability applications with modern technologies such as NoSQL, MongoDB, SparkML, and TensorFlow Experience in GCP Preferred qualifications: Experience in Big Data, information retrieval, data mining, or Machine Learning Experience with IaC and CICD tools like Terraform, Ansible, Jenkins etc Experience architecting, developing software, or Big Data solutions in virtualized environments Experience with encryption techniques like symmetric, asymmetric, HSMs, and envelop Ability to implement secure key storage using Key Management System About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business ? all with technology built in the cloud Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware Our teams are dedicated to helping our customers ? developers, small and large businesses, educational institutions and government agencies ? see the benefits of our technology come to life As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners As a Data and Analytics Consultant, you will guide customers on how to ingest, store, process, analyze, and explore/visualize data on the Google Cloud Platform You will work on data migrations and modernization projects, and with customers to design data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform/product challenges You will have an understanding of data governance and security controls, and will travel to customer sites to deploy solutions and deliver workshops to educate and empower customers You will work with Product Management and Product Engineering teams to build and drive excellence in products Google Cloud accelerates every organizations ability to digitally transform its business and industry We deliver enterprise-grade solutions that leverage Googles cutting-edge technology, and tools that help developers build more sustainably Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems Responsibilities Interact with stakeholders to translate customer requirements into recommendations for appropriate solution architectures and advisory services Engage with technical leads, and partners to lead high velocity migration and modernization to Google Cloud Platform (GCP) Help Google cloud customers with current infrastructure assessment, design and architect goal infrastructure, develop a migration plan, and deliver technical workshops to educate them on GCP Participate in technical and design discussions with technical teams to speed up the adoption process and ensure best practices during implementation Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data Google is proud to be an equal opportunity workplace and is an affirmative action employer We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status We also consider qualified applicants regardless of criminal histories, consistent with legal requirements See also Google's EEO Policy and EEO is the Law If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form

Join us as a Decision Analyst at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence You'll harness cutting-edge technology to revolutionize our digital offerings ensuring unapparelled customer experiences BUK Decision and Analytics team exist to harness the power of our data, using advanced analytics and data science, to deliver assets, that drive the performance of the bank, enabling smarter, faster, and more proactive decision making, and using information to transform the lives of our customers, colleagues, and the communities we live in, whilst protecting the sustainable advantage our data creates This team gives an opportunity to work directly with business heads and influence their decision making through use of advanced analytics and data science to solve complex business problems To be a successful Decision Analyst you should have experience with: Experience in data mining and building predictive & machine learning models using both structured and unstructured data Understanding of machine learning algorithms and their applications Experience in Data science project life cycle from use case framing, data exploration, model building, deployment etc Knowledge of Python & SQL Some Other Highly Valued Skills May Include Strong communication skills Good in storytelling Good at problem solving skills You may be assessed on essential skills relevant to succeed in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills Job location of this role is Noida Purpose of the role To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making Accountabilities Design analytics and modelling solutions to complex business problems using domain expertise Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy Ensure all development activities are undertaken within the defined control environment Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard The four LEAD behaviours are: L Listen and be authentic, E Energise and inspire, A Align across the enterprise, D Develop others OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate Will have an impact on the work of related teams within the area Partner with other functions and business areas Takes responsibility for end results of a teams operational processing and activities Escalate breaches of policies / procedure appropriately Take responsibility for embedding new policies/ procedures adopted due to risk mitigation Advise and influence decision making within own area of expertise Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function Make evaluative judgements based on the analysis of factual information, paying attention to detail Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents Guide and persuade team members and communicate complex / sensitive information Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship our moral compass, helping us do what we believe is right They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge and Drive the operating manual for how we behave