Job description Position Overview: We are seeking a collaborative and analytical Data Scientist who can bridge the gap between business needs and data science capabilities. In this role, you will lead and support projects that apply machine learning, AI, and statistical modeling to generate actionable insights and drive business value. Key Responsibilities: Collaborate with stakeholders to define and translate business challenges into data science solutions. Conduct in-depth data analysis on structured and unstructured datasets. Build, validate, and deploy machine learning models to solve real-world problems. Develop clear visualizations and presentations to communicate insights. Drive end-to-end project delivery, from exploration to production. Contribute to team knowledge sharing and mentorship activities. Must-Have Skills: 3+ years of progressive experience in data science, applied analytics, or a related quantitative role, demonstrating a proven track record of delivering impactful data-driven solutions. Exceptional programming proficiency in Python, including extensive experience with core libraries such as Pandas, NumPy, Scikit-learn, NLTK and XGBoost. Expert-level SQL skills for complex data extraction, transformation, and analysis from various relational databases. Deep understanding and practical application of statistical modeling and machine learning techniques, including but not limited to regression, classification, clustering, time series analysis, and dimensionality reduction. Proven expertise in end-to-end machine learning model development lifecycle, including robust feature engineering, rigorous model validation and evaluation (e.g., A/B testing), and model deployment strategies. Demonstrated ability to translate complex business problems into actionable analytical frameworks and data science solutions, driving measurable business outcomes. Proficiency in advanced data analysis techniques, including Exploratory Data Analysis (EDA), customer segmentation (e.g., RFM analysis), and cohort analysis, to uncover actionable insights. Experience in designing and implementing data models, including logical and physical data modeling, and developing source-to-target mappings for robust data pipelines. Exceptional communication skills, with the ability to clearly articulate complex technical findings, methodologies, and recommendations to diverse business stakeholders (both technical and non-technical audiences). Experience in designing and implementing data models, including logical and physical data modeling, and developing source-to-target mappings for robust data pipelines. Exceptional communication skills, with the ability to clearly articulate complex technical findings, methodologies, and recommendations to diverse business stakeholders (both technical and non-technical audiences). Good-to-Have Skills: Experience with cloud platforms (Azure, AWS, GCP) and specific services like Azure ML, Synapse, Azure Kubernetes and Databricks. Familiarity with big data processing tools like Apache Spark or Hadoop. Exposure to MLOps tools and practices (e.g., MLflow, Docker, Kubeflow) for model lifecycle management. Knowledge of deep learning libraries (TensorFlow, PyTorch) or experience with Generative AI (GenAI) and Large Language Models (LLMs). Proficiency with business intelligence and data visualization tools such as Tableau, Power BI, or Plotly. Experience working within Agile project delivery methodologies. Competencies: Tech Savvy - Anticipating and adopting innovations in business-building digital and technology applications. Self-Development - Actively seeking new ways to grow and be challenged using both formal and informal development channels. Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm. Customer Focus - Building strong customer relationships and delivering customer-centric solutions. Optimizes Work Processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement. Why Join U

Job description The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team. Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities. With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself. We are Metyis. Partners for Impact. What we offer Interact with C-level at our clients on regular basis to drive their business towards impactful change Lead your team in creating new business solutions Seize opportunities at the client and at Metyis in our entrepreneurial environment Become part of a fast growing international and diverse team What you will do Lead and manage the delivery of complex data science projects, ensuring quality and timelines. Engage with clients and business stakeholders to understand business challenges and translate them into analytical solutions. Design solution architectures and guide the technical approach across projects. Align technical deliverables with business goals, ensuring data products create measurable business value. Communicate insights clearly through presentations, visualizations, and storytelling for both technical and non-technical audiences. Promote best practices in coding, model validation, documentation, and reproducibility across the data science lifecycle. Collaborate with cross functional teams to ensure smooth integration and deployment of solutions. Drive experimentation and innovation in AI/ML techniques, including newer fields - Generative AI. What you ll bring 6+ years of experience in delivering full-lifecycle data science projects. Proven ability to lead cross-functional teams and manage client interactions independently. Strong business understanding with the ability to connect data science outputs to strategic business outcomes. Experience with stakeholder management, translating business questions into data science solutions. Track record of mentoring junior team members and creating a collaborative learning environment. Familiarity with data productization and ML systems in production, including pipelines, monitoring, and scalability. Experience managing project roadmaps, resourcing, and client communication. Tools & Technologies: o Strong hands-on experience in Python/R and SQL. o Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP. o Experience with data visualization tools in python like Seaborn, Plotly. o Good understanding of Git concepts. o Good experience with data manipulation tools in python like Pandas and Numpy. o Must have worked with scikit learn, NLTK, Spacy, transformers. o Experience with dashboarding tools such as Power BI and Tableau to create interactive and insightful visualizations. o Proficient in using deployment and containerization tools like Docker and Kubernetes for building and managing scalable applications. Core Competencies: o Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis. o Good understanding of deep learning concepts, especially in NLP and Computer Vision applications. o Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM. o Exposure to tools like Mlflow, model deployment, API integration, and CI/CD pipelines. o Hands on experience with MLOps and model governance best practices in production environments. o Experience in developing optimization and recommendation system solutions to enhance decision-making, user personalization, a

Job description About CloudKeeper CloudKeeper is a cloud cost optimization partner that combines the power of group buying & commitments management, expert cloud consulting & support, and an enhanced visibility & analytics platform to reduce cloud cost & help businesses maximize the value from AWS, Microsoft Azure, & Google Cloud. A certified AWS Premier Partner, Azure Technology Consulting Partner, Google,Cloud Partner, and FinOps Foundation Premier Member, CloudKeeper has helped 400+ global companies save an average of 20% on their cloud bills, modernize their cloud set-up and maximize value all while maintaining flexibility and avoiding any long-term commitments or cost. CloudKeeper hived off from TO THE NEW, digital technology services company with 2500+ employees and an 8-time GPTW winner. Position Overview: We are looking for an experienced and driven Data Engineer to join our team. The ideal candidate will have a strong foundation in big data technologies, particularly Spark, and a basic understanding of Scala to design and implement efficient data pipelines. As a Data Engineer at CloudKeeper, you will be responsible for building and maintaining robust data infrastructure, integrating large datasets, and ensuring seamless data flow for analytical and operational purposes. Key Responsibilities: Design, develop, and maintain scalable data pipelines and ETL processes to collect, process, and store data from various sources. Work with Apache Spark to process large datasets in a distributed environment, ensuring optimal performance and scalability. Develop and optimize Spark jobs and data transformations using Scala for large-scale data processing. Collaborate with data analysts and other stakeholders to ensure data pipelines meet business and technical requirements. Integrate data from different sources (databases, APIs, cloud storage, etc.) into a unified data platform. Ensure data quality, consistency, and accuracy by building robust data validation and cleansing mechanisms. Use cloud platforms (AWS, Azure, or GCP) to deploy and manage data processing and storage solutions. Automate data workflows and tasks using appropriate tools and frameworks. Monitor and troubleshoot data pipeline performance, optimizing for efficiency and cost-effectiveness. Implement data security best practices, ensuring data privacy and compliance with industry standards. Required Qualifications: 4- 6 years of experience required as a Data Engineer or an equivalent role Strong experience working with Apache Spark with Scala for distributed data processing and big data handling. Basic knowledge of Python and its application in Spark for writing efficient data transformations and processing jobs. Proficiency in SQL for querying and manipulating large datasets.ing technologies. Experience with cloud data platforms, preferably AWS (e.g., S3, EC2, EMR, Redshift) or other cloud-based solutions. Strong knowledge of data modeling, ETL processes, and data pipeline orchestration. Familiarity with containerization (Docker) and cloud-native tools for deploying data solutions. Knowledge of data warehousing concepts and experience with tools like AWS Redshift, Google BigQuery, or Snowflake is a plus. Experience with version control systems such as Git. Strong problem-solving abilities and a proactive approach to resolving technical challenges. Excellent communication skills and the ability to work collaboratively within cross-functional teams. Role: Data Analyst Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Temporary/Contractual Role Category: Business Intelligence & Analytics Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Data EngineeringSCALA PysparkScala ProgrammingPython FrameworkSQL QueriesSparkPythonSQL

Job description Senior Analyst Gurugram (Hybrid) 2 To 4 years + Job Description Apply Core responsibilities include: Owning and executing distinct work streams within larger analytics engagement Delivering insights based on complex data analysis, within relevant verticals (insurance, health care, banking, etc.) Hands on experience in data manipulation/processing skills using Python. Experience in exploratory data analysis and feature engineering Must have strong capabilities in problem solving, managing own work diligently, thoroughly documenting own work, succinctly communicating analysis process and outcomes, as well as effectively working with clients Basic understanding of at least one business area and its components (Healthcare, Insurance, Banking, Telecommunications, Logistics) Familiarity with / Exposure on cloud engineering (preferred) Ability to translate technical information to non-technical stakeholders and vice versa Strong verbal and written communications skills Actively seeks information to clarify customer needs to deliver better experience Acts promptly to ensure customer needs are fulfilled Role: Data Scientist Industry Type: Management Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate PG: Any Postgraduate Key Skills BasicData analysisdata manipulationSenior AnalystBankingCloudHealthcareAnalyticsLogisticsPython

Job description Sr. Data Scientist Gurugram (Hybrid) 3 To 6 years + Job Description Apply Ideal qualifications, skills and experiences we are looking for are: We are actively seeking a talented and results-driven Data Scientist to join our team and take ownership of deliverables through the power of data analytics and insights. Your contributions will be instrumental in making data-informed decisions, identifying growth opportunities, and propelling our organization to new levels of success. Doctorate/Master s/bachelor s degree in data science, Statistics, Computer Science, Mathematics, Economics, commerce or a related field. Minimum of 3 years of experience working as a Data Scientist or in a similar analytical role, with experience leading data science projects and teams. Experience in Healthcare domain with exposure to clinical operations, financial, risk rating, fraud, digital, sales and marketing, and wellness, e-commerce or the ed tech industry is a plus. Expertise in programming languages such as SQL, Python/PySpark and proficiency with data manipulation, analysis, and visualization libraries (e.g., pandas, NumPy, Matplotlib, seaborn). Very strong python and exceptional with pandas, NumPy, advanced python (pytest, class, inheritance, docstrings). Deep understanding of machine learning algorithms, model evaluation, and feature engineering. Experience with frameworks like scikit-learn, TensorFlow, or Py torch. Role: Data Engineer Industry Type: Management Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate PG: Any Postgraduate Key Skills Computer sciencedata scienceAnalyticalFinancial riskMachine learningProgrammingHealthcareWellnessSQLPython

Job description As an intern transitioning to a full-time role, you will own the end-to-end software development lifecycle, including technical design, implementation, deployment, support, and optimization of software solutions. You will Collaborate with the Business teams, Product teams and Clients to understand business scenarios and customer pain points Tackle complex technical challenges and build highly functional cutting-edge product features Own the complete product delivery across the full tech stack Continuously improving product performance and user experience To be successful in this role, you should be a meritorious student from a college of repute and have Bachelors/Masters degree in CS/IT Engineering, class of 2026 Min. 7 CGPA score with no backlogs Excellent programming skills either in Java or Python Strong academic performance in data structures and algorithms Demonstratable programming and application skills in academic projects - Java/Python/Rest APIs/PostgreSQL/similar Confident communication skills Our Tech Stack: Java(Springboot) Python(Django) PostgreSQL AI/ML REST, web services Angular, Javascript, HTML Jenkins, Maven, Git, Ansible AWS Role: Blockchain Quality Assurance Engineer Industry Type: Software Product Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Quality Assurance and Testing Education UG: Any Graduate PG: Any Postgraduate Key Skills TelecomMavenHospitalityGITPostgresqlDjangoJavascriptData structuresHTMLPython

Job description Responsibilities: * Design, develop & maintain automated tests using Java/Python. * Collaborate with dev teams on API & functional testing. * Ensure software quality through performance testing. Role: Automation Test Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Quality Assurance and Testing Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Automation Testing Performance TestingJavaSoftware Quality AssuranceAPI TestingSoftware Testingnft testingFunctional TestingPython

Job description Overview As the Associate Director Azure SRE, you will be responsible for leading and mentoring a team of Site Reliability Engineers, driving operational excellence, and ensuring the reliability and scalability of our Azure-based infrastructure. You will collaborate with cross-functional teams to design, implement, and maintain highly available systems, while advocating for best practices in automation, monitoring, and incident management. The ideal candidate will have strong leadership skills, deep technical expertise in Azure cloud services, and a passion for improving system reliability and performance. Responsibilities Leadership & Mentorship: Lead, mentor, and grow a team of Site Reliability Engineers, fostering a culture of collaboration, innovation, and continuous improvement. Drive operational excellence by setting clear goals, priorities, and performance metrics for the team. Encourage professional development and knowledge sharing within the team. Reliability & Scalability: Own the availability, performance, and scalability of critical services in Azure. Define and implement Site Reliability Engineering (SRE) best practices, including SLAs, SLOs, and error budgets. Proactively identify potential risks and performance bottlenecks, and implement strategies to mitigate them. Automation & Infrastructure Management: Oversee the automation of operational tasks, including provisioning, deployment, monitoring, and incident response. Lead efforts to implement Infrastructure as Code (IaC) using tools such as Ansible, Terraform, or Azure DevOps Pipelines. Incident Management & Resolution: Manage and lead incident response for Azure-based infrastructure, ensuring quick resolution and root cause analysis. Define and continuously improve incident management processes, ensuring minimal downtime and impact on users. Collaboration & Stakeholder Communication: Work closely with engineering, DevOps, and security teams to design and deploy solutions that meet both reliability and security requirements. Communicate effectively with stakeholders across the organization, providing visibility into SRE efforts and service health metrics. Monitoring & Observability: Ensure robust monitoring, logging, and alerting are in place to proactively identify issues before they impact customers. Lead the adoption and continuous improvement of observability frameworks (e.g., Prometheus, Grafana, Azure Monitor). Continuous Improvement: Drive continuous improvement initiatives, including post-incident reviews, blameless retrospectives, and process optimizations. Stay up-to-date with the latest Azure technologies and industry best practices, integrating new solutions to improve reliability. Qualifications Education: Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). Experience: Should have 15+ years of experience with 10+ year in IT/Infrastructure operations with 5+ years of experience in a Site Reliability Engineering (SRE) or DevOps role with significant exposure to Azure cloud environments. 5+ years of experience in a leadership or management role, ideally leading an SRE or infrastructure team. Proven experience in building and maintaining high-availability, distributed systems on Azure. Hands-on experience with Azure services such as Application Gateways, Azure Networking, NSG, Kubernetes (AKS), App Services, and Azure Functions. Technical Skills: Deep knowledge of Azure architecture, services, and infrastructure. Expertise in automation tools such as Terraform, Ansible, Azure DevOps, ARM templates, or similar. Proficient in scripting languages (e.g., Python, Bash, PowerShell) for automation and orchestration. Strong experience with containerization and orchestration tools, particularly Azure Kubernetes Service (AKS). Familiarity with monitoring tools such as Azure Monitor, Prometheus, Grafana, or ELK stack. In-depth knowledge of CI/CD pipelines and deployment strategies. Soft Skills: Strong leadership and mentoring skills with the ability to inspire and guide a team. Excellent comm

Job description As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you'll discover that at HARMAN you can grow, make a difference and be proud of the work you do everyday. Introduction: - Harman Tech Solutions (HTS) we're a global, multi-disciplinary team that s putting the innovative power of technology to work and transforming tomorrow. At HARMAN HTS, you solve challenges by creating innovative solutions. read more Key Skills IT servicesCodingAgileHealthcaremicrosoftMATLABInformation technologyAutomotiveSQLPython

Job description Join us as an Assistant Vice President at Barclays, where youll spearhead the evolution of our digital landscape, driving innovation and excellence. Youll harness cutting-edge technology to our digital offerings, ensuring unparalleled customer experiences. To be successful as an Assistant Vice President you should have experience with: Experience in Financial Reporting, Regulatory reporting and Control, Planning and/or Analytics. Barclays data and/or analytics experience a distinct advantage. Experience around designing MI dashboards, analytics and insights. Knowledge in Business Intelligence platforms like SAP, Tableau, Alteryx, Python, data management, transformation. Project management /scrum master capabilities to drive prioritization. Experience around designing MI dashboards and insights. Support to business units in identification, assessment, and mitigation of financial risks, including provision of training and guidance to business units on financial risk management and compliance practices. Analysis and presentation of financial data to provide insights into business performance, identify trends, and support decision-making. You may be assessed on key critical skills relevant for success 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. The above role is for Chennai/Noida. Purpose of the role To provide financial expertise and support to various departments and business units within the organisation by the gathering, analysis and interpretation of financial data to inform investment decisions, assess financial risks, and support strategic planning. Accountabilities Evaluation of investment opportunities and potential risks through in-depth research on companies, industries and market trends, and preparation of investment recommendations and reports for investment committees. Preparation of short-term and long-term financial forecasts to inform strategic planning and decision making. Monitoring financial risks and provision of regular reports to senior colleagues and the board of directors. Collection, analysis and interpretation of financial data to prepare financial reports, dashboards and presentations conveying financial insights for stakeholders. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes 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 will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of