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To perform analysis of programme, plan the creation and execution of testing strategies and testing tasks iwhilst conforming to UK IT Testing Services processes and standards.To work with the Test Manager, QA Software Test Engineers, IT Change Specialists and other key stakeholders to ensure integration, system, end to end and regression testing is performed as specified and intended by the Business stories and Functional Requirements documentation.
To perform analysis of programme, plan the creation and execution of testing strategies and testing tasks whilst conforming to UK IT Testing Services processes and standards.To work with the Test Manager, QA Software Test Engineers, IT Change Specialists and other key stakeholders to ensure integration, system, end to end and regression testing is performed as specified and intended by the Business stories and Functional Requirements documentation.
Data Scientist (IT)Position:Data ScientistJob type:Techno-FunctionalPreferred education qualifications:Bachelor/ Master's degree in Statistics, Operation Research, Computer Science, Data Science OR related quantitative fieldJob location:IndiaGeography:SAPMENARequired experience:6-8 YearsPreferred profile/ skills: § 5+ years in developing and implementing forecasting models§ [Mandatory] Proven track record in data analysis (EDA, profiling, sampling), data engineering (wrangling, storage, pipelines, orchestration)§ [Mandatory] Proven expertise in time series analysis, regression analysis, and other statistical modelling techniques§ [Mandatory] Experience in ML algorithms such as ARIMA, Prophet, Random Forests, and Gradient Boosting algorithms (XGBoost, LightGBM, CatBoost)§ [Mandatory] Experience in model explainability with Shapley plot and data drift detection metrics.§ [Mandatory] Strong programming & analysis skills with Python and SQL, including experience with relevant forecasting packages§ [Mandatory] Prior experience on Data Science & ML Engineering on Google Cloud§ [Mandatory] Proficiency in version control systems such as GitHub§ [Mandatory] Strong organizational capabilities; and ability to work in a matrix/ multidisciplinary team§ [Mandatory] Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audience§ Experience in Beauty or Retail/FMCG industry is preferred§ Experience in handling large volume of data (>100 GB)§ Experience in delivering AI-ML projects using Agile methodologies is preferred§ Proven ability to work proactively and independently to address product requirements and design optimal solutionsJob objectives:Design, develop, implement, and maintain data science and machine learning solutions to meet enterprise goals. Collaborate with cross-functional teams to leverage statistical modeling, machine learning, and data mining techniques to improve forecast accuracy and aid strategic decision-making across the organization. Scale the proven AI-ML Product across the SAPMENA region.Job description:§ Deep understanding of business/functional needs, problem statements and objectives/success criteria§ Develop and maintain sophisticated statistical forecasting models, incorporating factors such as seasonality, promotions, media, traffic and other economic indicators§ Collaborate with internal and external stakeholders including business, data scientists & product team to understand the business and product needs and translate them into actionable data-driven solutions§ Review MVP implementations, provide recommendations and ensure Data Science best practices and guidelines are followed§ Evaluate and compare the performance of different forecasting models, recommending optimal approaches for various business scenarios§ Analyze large and complex datasets to identify patterns, insights, and potential risks and opportunities§ Communicate forecasting results and insights to both technical and non-technical audiences through clear visualizations and presentations§ Stay up to date with the latest advancements in forecasting techniques and technologies, continuously seeking opportunities for improvement§ Contribute to the development of a robust data infrastructure for AI-ML solutions, ensuring data quality and accessibility§ Collaborate with other data scientists and engineers to build and deploy scalable AI-ML solutions
Job Requirements Education Bachelor's degree in business or related field is preferred Relevant Experience * 2 years+ of experience in inventory demand planning * Proven track record in setting and achieving inventory short, medium and long-range inventory plans * Exceptional ability to communicate complex analytics in a clear, actionable manner to influence decision-making * Strong interpersonal skills to effectively collaborate with internal teams and external parties * Skilled in monitoring and measuring inventory demand planning performance against goals, with the ability to provide insights and make timely adjustments * Results-driven mindset with the ability to balance strategic planning and tactical execution Behavioural Skills * Delivery Excellence * Business Disposition * Social Intelligence * Innovation & Agility * Purposeful Leadership Technical Skills * Strong analytical skills with proficiency in inventory management software and tools (e.g., PDI, Relex) * Advanced proficiency in Excel and other data analysis tools; experience with visualization tools e.g., Power BI, Tableau etc. Knowledge * Data Analytics * Good knowledge in Power BI, MS Excel and Tableau
YOUR RESPONSIBILITIES:
WHAT WE ARE LOOKING FORTechnical:
Personal:
Location- GurgaonExternal Interfaces Internal Interfaces* Contractor(s) - BPO Partners - Global CoE Data & Analytics team* Vendors - Digital tools (SAP Ariba, Coupa, etc.)* Vendors - Supplier Relation Management (SRM)* Global Procurement GNFR* Finance, accounting and Legal* GNFR Stakeholders* Global CoE - Data & AnalyticsJob Requirements Education* Bachelor's degree in Supply Chain, Business Administration, Engineering, or a related field.* MBA or relevant Master's degree preferred.Relevant Experience* 10+ years of total experience in procurement, with a strong focus on process optimization, tools implementation, and transformation.* Proven success in leading or supporting largescale S2P initiatives.* Experience with procurement platforms such as SAP Ariba, Coupa, Oracle, and ERP systems like SAP.Behavioural Skills* Strong analytical and problem-solving abilities.* Excellent communication and stakeholder engagement skills.* Proactive, organized, and adaptable in a fastpaced, global environment.* Willingness to work flexible hours to collaborate across time zones.* Strong project management mindset.Knowledge* Strong understanding of end-to-end procurement processes, with a focus on Sourceto-Pay (S2P) transformation.* Hands-on knowledge of procurement platforms such as SAP Ariba, Coupa, or other similar tools (e.g., Oracle, Ivalua).* Experience in integrating procurement systems with ERP platforms such as SAP or Oracle * Familiarity with contract lifecycle management (CLM), supplier management, e-sourcing, and invoice automation.* Working knowledge of data governance, compliance frameworks, and internal controls in a procurement context.* Proficiency in Power BI or other business intelligence tools (e.g., Tableau, Qlik, Spotfire) for creating dashboards and data-driven insights.* Strong command of Microsoft Excel (pivot tables, advanced formulas, data modeling) and PowerPoint for executive reporting.* Basic understanding of cloud platforms (e.g., Azure, AWS, or GCP) for analytics is a plus. Roles & Responsibilities Analytics (Data & Insights)* Drive implementation, optimization, and adoption of procurement platforms such as SAP Ariba, Coupa, Oracle (including CLM, e-Sourcing, and invoice automation).* Collaborate with IT and cross-functional teams for seamless ERP integration.* Monitor tool adoption and identify opportunities for automation and enhancement. Operational Excellence* Lead and execute end-to-end procurement transformation initiatives, spanning S2P and P2P workstreams.* Design and deliver standardized, automated, and scalable procurement processes aligned with global strategy.* Define and implement procurement transformation roadmaps and process excellence frameworks.Stakeholder Management* Engage and align with global stakeholders including Procurement, Finance, Legal, IT, and Business Units.* Act as a change agent for procurement transformation, building awareness and ownership among stakeholders.* Define KPIs and provide actionable insights to leadership through dashboards and reports.Provide regular updates to stakeholders to simplify and clarify complex concepts, and communicate the output of work to businessData Governance & Quality Assurance* Use data-driven analysis to identify trends, optimize procurement spend, and enable strategic sourcing.* Build interactive dashboards (preferably in PowerBI) and ensure high data integrity and governance
Qualifications
Job Description:
Job location: Bengaluru, India
Job RequirementsEducation* Bachelor's degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)* Master's degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.)Relevant Experience* 5 - 7 years for Data Scientist* Relevant working experience in a data science/advanced analytics roleBehavioural Skills* Delivery Excellence* Business disposition* Social intelligence* Innovation and agilityExperience* Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.)* Statistical modelling using Analytical tools (R, Python, KNIME, etc.)* Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference)* Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference.* Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.)* Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.)* Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.)* Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools* Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.)* Microsoft Office applications (MS Excel, etc.)Roles & ResponsibilitiesAnalytics & Strategy1. Analyse large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business2. Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data3. Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions4. Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional dataOperational Excellence1. Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project2. Structure hypothesis, build thoughtful analyses, develop underlying data models and bring clarity to previously undefined problems3. Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analysesStakeholder Engagement1. Working collaboratively across multiple sets of stakeholders - Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables2. Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats
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Design and Development of Power Distribution, Control or electro-mechanical boxes for capital equipment
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