3,951 Senior Data Scientist Jobs in Gurgaon

Job Description Build contacts with potential clients to create new business opportunities Explain the customers about the properties. Develop Money Tree Realty as a brand by ensuring service standards in line with company policies. Build good Working relationship with Clients Calling on leads provided by the company Maintain and Develop relationships with channel partners in person and via telephone calls and e-mails. Follow up with potential customers to prospect for new business. Calling/Meeting clients for doing need analysis Facilitate negotiation between buyer & seller Closing sale and submitting all relevant documents to seller Understand the core values of the company and its goals. Calling and fixing meeting with clients. Markets go-getter and trend setter. Strong sales acumen with good sense and adaptation to organization culture. Job Specification: Own Vehicle Mandatory. Laptop/Ipad/Tab mandate. Must have excellent communication skills. Pleasing Personality and able to handle sales within defined guidelines. Good PR, Social and Networking Skills to enhance customer base. Out-Of-the box thinker and deliver for self and the team.

 Full Stack Tester (Senior Test Lead)_Full-Time_Noida, Bengaluru_Hybrid Hi,Greetings from Best Infosystems Ltd.!We've spotted your impressive profile and have an exciting opportunity tailored to your skills and passions. Role- Full Stack Tester (Senior Test Lead)Experience: 5+ YearsJob Type: Full-TimeLocation: Noida, Bengaluru We are seeking a highly skilled and detail-oriented Senior QA Engineer with strong expertise in Automation Testing, Performance Testing, and deep understanding of the Airline domain. * Web-Automation (Any one): Selenium + Java or Selenium + Python Playwright + Python or Playwright + Typescript Any other automation tool * Mobile-Automation (Any one): Appium + Java or Appium + Python Any other mobile automation tool * API Automation (Any one): Postman + Newman RestAssured Any other tool * Performance (Any one): JMeter + Server side logging and metric capture (Any tool) LoadRunner + Server side logging and metric capture (Any tool) * Airline Domain-------------If you are interested, please share your updated resume along with the following details for the next steps: # Your full name ( First : Middle : Last ) ( All expanded ) :# Present Employer Name & Work Location :# Permanent / Contract Employee :# Current Location:# Preferred Location (Noida, Bengaluru):# Highest Qualification (University Name and Passing year):# Total experience:# Relevant experience as a Senior Test Lead in years:# Relevant experience in Full Stack Tester in years:# Relevant experience in Postman in years:# Relevant experience in RestAssured in years:# Relevant experience in Appium in years:# Relevant experience in Playwright in years:# Relevant experience in Airline Domain in years:# Current CTC and take home:# Expected CTC and take home:# Official Notice Period:# Are you serving notice period if yes then mention LWD:# Any offer you are holding (if yes please share the offer amount):# Date of Birth(DOB):# PAN Card Number (To upload your profile in the client's ATS):

Job Title: Senior Executive - Plant Engineering Roles & Responsibilities: No failure of process control system due to maintenance issue. Zero down time due to non-availability of spares Team work & Good behavior Cost Control Minimal downtime, issues in operations Adhering to Statutory requirements of Weights & Measures. Streamline and vertical ramp up of new projects. Job Description:  Maintenance and upkeep of the Packing Machines:- Monitoring the performance of packaging machines. Tracking MTTR & MTBF of machines and sharing the RCA actionable on shift basis. Strategy for planned maintenance of different classes of packaging machines. Build safety around the packaging machinery and help in mitigating the same.  Hands on experience of PLC of Schnieder, Allen Bradley, ABB & Siemens. OPC Kep Serv Understanding. Basic understanding of Volumetric & Load Cell Base Fillers. Understanding of Conveyors and ABB Robots. Understanding of AGVs and maintenance track of the equipments.  Basic understanding of communication topology or networking of packing machines and devices. Hands on experience of various types of Sensors.(Proximity, Inductive, Capacitive) & Load Cells. Spares Management:- Maintaining adequate inventory of spares and consumables towards Instrumentation asset. Ensuring proper budgeting. Actual vs. budget Timeliness. People Management:-  Direct & guide team members; counsel workmen & address grievances; Review performance in order to build a motivated team & a performance oriented work culture.  Vendor Management:-Co-ordination with various Vendors for procuring material, services & alternate solution with reasonable cost.  Software trouble shooting for various Application systems communication (PLC & HMI Programming) Supporting new automation initiatives at Plant (e.g., local communication, Enterprise Asset Management, Efficiency improvement tools etc)

Senior Snowflake Data Engineer Location: PAN India Experience: 8+ Years Skills: Snowflake, dbt, FiveTran, Snowpipe, AWS (MWAA, S3, Lambda), GitHub CI/CD Job Description We are looking for an experienced Senior Snowflake Data Engineer with strong expertise in modern data warehousing, cloud technologies, and ELT pipeline development. The ideal candidate should have deep hands-on experience in Snowflake, dbt, cloud environments, and CI/CD practices, with the ability to design scalable and efficient data solutions. Key Responsibilities Analyze, integrate, model, and interpret large and complex datasets from multiple sources. Design and implement ELT data pipelines using dbt with Snowflake as the primary cloud data warehouse. Build efficient and scalable data transformation pipelines using dbt at an advanced level. Work with ETL/ELT and data governance tools such as FiveTran and Alation. Utilize advanced Snowflake features such as RBAC, Dynamic Tables, and various optimization techniques. Ensure strong data modelling and warehousing practices across diverse database technologies. Manage orchestrations using Apache Airflow or AWS MWAA, along with CI/CD pipelines. Oversee continuous deployment, monitoring, and operations of data solutions using GitHub Actions, Terraform, and other DevOps tools. Collaborate with technical and non-technical stakeholders through effective communication. Contribute to building future-state Data Warehouse capabilities using cutting-edge technologies. Adapt and work efficiently within Agile methodology. Preferred Qualifications 2+ years of hands-on experience with Snowflake as a Cloud Data Warehouse and Data Lake platform. Strong understanding of cloud environments, especially AWS (S3, Lambda, MWAA). Airline industry domain experience is a plus.

Hoping this email finds you well" Role: Senior .NET Developer (Azure) 8+ Years Experience: 8+ Years Notice Period: Immediate to 30 days Role Overview We are seeking a highly skilled Senior .NET Developer with 8+ years of experience in designing, developing, and deploying enterprise-grade applications on Microsoft Azure. The ideal candidate will have strong expertise in C#, .NET Core, cloud-native architectures, Azure PaaS services, CI/CD, and modern development practices. Technical Skills 8+ years of experience in C#, .NET Framework, .NET Core / .NET 6+. Strong knowledge of REST APIs, microservices, Web API, Entity Framework Core. Hands-on experience with Azure services: App Service, Azure Functions Azure SQL, Cosmos DB Azure Storage Service Bus Key Vault App Config Experience with Azure DevOps (Repos, Pipelines, Boards). Experience with Docker and container-based development. Understanding of event-driven and cloud-native architecture. Infrastructure as Code (Bicep / ARM / Terraform) is a plus  Email ID: kanchansinghdelta2025@gmail.com

Hands-on experience on Designing, developing, and implementing services using IBM DataPower, including XML Firewalls,Web Service Proxies, and Multi-Protocol Gateways. Hands-on experience on Implementing security policies, configuring SSL/TLS connections, and ensuring secure data exchange Should have working experience in Monitoring system performance, troubleshooting issues, and optimizing DataPowerservice. Should have working experience in Integrating DataPower with other systems and applications, including IBM MQ, Kafka, andvarious data formats. Familiarity with JSON to XML, XML to JSON, and JSON to SOAP transformations using XSLT's Creating XML schema, JSON schema and development using XSLT and WebSphere Transformation Extender (WTX) andconfiguration using DataPower Knowledgeable in creation of XSLT, XSD && WSDL Understanding of DataPower services like multi-protocol gateways, web service proxies, firewalls Should have working experience in Diagnosing and resolving issues related to DataPower services and configurations. Experience in coordination of technical resources Experience in Insurance domain

Job Title: Senior Relationship Officer InsuranceSalary: 4.50LPA + Incentives Experience: 1 to 2 Years (Insurance / BFSI Preferred) Qualification: Graduate (Any Stream) Employment Type: Full-Time, On-Rolls Job Summary: We are hiring a Relationship Officer for Canara HSBC Life Insurance to manage and develop business relationships within assigned bank branches. The ideal candidate should have experience in sales, client handling, and insurance or financial products. Roles & Responsibilities: Handle and manage sales of life insurance products through partner bank branches.Build and maintain strong relationships with bank staff to achieve sales targets.Educate and motivate bank employees on insurance products and benefits.Generate leads, identify prospects, and convert them into customers.Ensure customer satisfaction through timely support and follow-ups.Maintain proper documentation and adhere to company and IRDAI compliance policies. Required Skills: Excellent communication and interpersonal skills.Strong relationship management and negotiation ability.Good knowledge of insurance/financial products.Goal-oriented and self-motivated. Perks & Benefits: Attractive Incentive StructureCareer Growth OpportunitiesTraining & Development Support

Dear Sir/Madam,  CTC Offered - Upto 6 LPA (Depending on Interview and Experience)  Perks & Benefits - PF + Huge  Incentives + International/ Domestic Trips   Channel - Agency Channel & Direct Channel  Qualification - HSC/Graduation/Post Graduation  Call us if you are looking for High salary package + Best benefits package with on-role employment on company pay-rolls in your preferred locations in India. Our HR Managers will help you today and guide for interview as well. Please note - We are direct HR Team of Reliance Nippon Life Insurance Co. and our HR Managers will guide you on how you can join us and start a successful relationship with us immediately. Interested Candidate can call/ Whatsapp us now @ 9326218355 and speak to company HR Manager directly. Please note there No charges This is a free job as this is a direct company recruitment. Email your updated resume/CVs at Vishakha.Biswas@indusindnipponlife.com Thank you for your time and looking forward in helping you in your job search!  Regards, HR Team, Vishakha Biswas Reliance Nippon Life Insurance

Key Responsibilities:  * Build contacts with potential clients to create new business opportunities* Explain the customers about the properties.* Develop MoneyTree Realty as a brand by ensuring service standards in line with company policies.* Build good Working relationship with Clients Calling on leads provided by the company* Maintain and Develop relationships with channel partners in person and via telephone calls and e-mails.* Follow up with potential customers to prospect for new business.* Calling/Meeting clients for doing need analysis* Facilitate negotiation between buyer & seller* Closing sale and submitting all relevant documents to seller* Understand the core values of the company and its goals.* Report on sales activities to top management with a current and futuristic benchmark.* Developing sales strategies and visualizing the set targets till accomplishment.* Possibly dealing with some major customer accounts.* Track, collate and interpret sales figures and reporting.* Calling and fixing meeting with clients.* Hardcore Sales Performer in Direct Sales in the assigned territory for generating sales.* Markets go-getter and trend setter.* Strong sales acumen with good sense and adaptation to organization culture.Job Specification: * Own vehicle mandatory.* Ipad/Tab would be an additional advantage.* Must have excellent communication skills.* Pleasing personality and able to handle sales within defined guidelines.* Good PR, Social and networking skills to enhance customer base.* Out-Of-the box thinker and deliver for self and the team.

Dear Sir/Madam,  Channel - Agency Channel & Direct Channel  CTC Offered - Up to 6 LPA (Depending on Interview and Experience)  Perks & Benefits - PF + Huge  Incentives + International/ Domestic Trips   Qualification - HSC/Graduation/Post Graduation  Call us if you are looking for High salary package + Best benefits package with on-role employment on company pay-rolls in your preferred locations in India. Our HR Managers will help you today and guide for interview as well. Please note - We are direct HR Team of Reliance Nippon Life Insurance Co. and our HR Managers will guide you on how you can join us and start a successful relationship with us immediately. Interested Candidate can call/ Whatsapp us now @ 9326218355 and speak to company HR Manager directly. Please note there No charges This is a free job as this is a direct company recruitment. Email your updated resume/CVs at Vishakha.Biswas@indusindnipponlife.com Thank you for your time and looking forward in helping you in your job search!  Thanks & Regards, Vishakha Biswas HR Team, Reliance Nippon Life Insurance

Key Responsibilities Design and implement customer journeys using Adobe Journey Optimizer Build and manage event driven journeys time based campaigns and real time personalization use cases Collaborate with cross functional teams marketing data and engineering to translate business requirements into AJO workflows Utilize AEP capabilities such as RealTime Customer Profile Segments Schemas XDM and Datasets to create journey conditions and triggers Work with APIs DecisioningAJOD Module and Event Forwarding for real time data ingestion and outbound integrations Design and test email templates push notifications and in app messages within AJO Implement offer decisioning and personalized content blocks using AJO Offer Library Perform unit testing UAT and AB testing within journeys to ensure optimal performance Monitor journey performance trouble shoot issues and optimize for KPIs eg engagement conversion Ensure governance and best practices around data privacy consent and compliance GDPR CCPA etcTechnical Skills Strong experience with Adobe Journey Optimizer AJO Working knowledge of Adobe Experience Platform AEP especially Schemas XDM modeling Segment Builder RealTime Customer Profile RTCP Datasets and data ingestion Familiarity with Customer Journey Analytics CJA and Adobe Offer Decisioning is a plus Proficient in JavaScript JSON and RESTful API integration Good understanding of data sources batch and streaming identity stitching and audience activation Experience with Tag Management Tools Adobe Launch or Tealium is a plus Preferred Qualifications Adobe Certified Expert Adobe Journey Optimizer Adobe Experience Platform Experience with other Adobe tools like Adobe CampaignMarketoEloqua Adobe Target or Adobe Analytics is a plus Experience in industries such as Retail Telecom BFSI or Healthcare is a plus Understanding of privacy regulations GDPR CCPA and consent frameworks

As a Senior Data Scientist, your role will involve driving data-driven decision-making and risk assessment by developing predictive models and machine learning solutions to solve complex business challenges. You will collaborate with cross-functional teams to integrate data science strategies into business processes. **Key Responsibilities:** - Proficiently analyze and manage large datasets, leveraging expertise in data science, data analysis, and data management, particularly within data laboratories or analytics environments. - Collaborate with internal and external stakeholders to design and implement data strategies that align with the organization's overarching goals and objectives. - Develop and implement predictive models and machine learning algorithms to address business challenges, providing actionable insights that drive strategic decision-making. - Work closely with domain experts and IT professionals to integrate data science solutions into existing systems and processes, ensuring seamless execution and optimization of business operations. **Qualifications Required:** - Bachelor's or Masters degree (or equivalent) in Economics, Statistics, Data Science, or a related field. - A minimum of 8 years of relevant experience, including at least 3 years as a Data Scientist or in a similar role focused on data analytics and modeling. - Certification in data science, machine learning, or related fields is required. At least one of the following certifications is mandatory: - Certified Analytics Professional (CAP) - AWS Certified Big Data Specialty - Google Professional Data Engineer You should also have strong experience with data visualization tools such as Matplotlib, Seaborn, Tableau, or similar platforms. Prior experience in statistical modeling, risk modeling, or working with large datasets to build complex models and provide actionable insights will be beneficial for this role.,

As a Senior Data Scientist, you will be responsible for possessing deep expertise in data analysis, data science, and data management, with a focus on data lab or analytics-driven environments. You will collaborate with stakeholders to design and implement data strategies that align with organizational goals. Additionally, you will be developing and deploying predictive models and machine learning algorithms to address business challenges and deliver actionable insights. Working in close coordination with domain experts and IT teams, you will seamlessly integrate data science solutions into existing systems and workflows. Qualifications required for this role include: - Bachelors Degree/masters degree or Equivalent in Economics, Statistics, Data Science or related field. - 8+ Years of relevant experience. - 3+ Years of experience as Data Scientist. - Certifications in data science, machine learning, or related areas Minimum one required from Certified Analytics Professional (CAP)/AWS Certified Big Data Specialty/Google Professional Data Engineer. - Experience in data visualization tools (e.g., Matplotlib, Seaborn, Tableau etc.). - Prior experience of statistical/risk modelling.,

As an AI Incubator Data Scientist at Barclays, you will embark on a transformative journey to spearhead the evolution of the digital landscape and drive innovation and excellence. Your role will involve harnessing cutting-edge technology to revolutionize digital offerings, ensuring unparalleled customer experiences. You will have the opportunity to shape and lead projects within the AI incubator team, leveraging machine learning techniques and AI to extract valuable insights and create tangible business impact. The position emphasizes a design-led thinking approach with close collaboration with business stakeholders and a fail-fast mindset. You will work with extensive datasets spanning billions of rows, applying state-of-the-art AI techniques to unlock millions in business value. **Key Responsibilities:** - Build relationships with senior stakeholders across the bank to identify opportunities for adding value through Data Science and GenAI. - Develop machine learning models and apply AI to deliver commercial value for the Corporate Bank. - Utilize AWS services for data transformation, feature engineering, AI product development, and deployment. - Communicate complex technical ideas to stakeholders through data visualization. - Collaborate with the ML Ops team in technology to streamline the path to production for successful projects. **Essential Skills and Qualifications:** - Bachelor's or master's degree in data science or equivalent commercial experience. - Experience working with senior stakeholders across the data science lifecycle, from idea inception to delivery in a production environment. - Ability to translate technical work into business terms and communicate value to business stakeholders. - Commercial experience in applying machine learning techniques for generating business value such as clustering, classification, regression, and NLP techniques. - Strong coding skills with a focus on Python and SQL, including a strong understanding of key coding principles like separation of concerns and generalization of code. - Familiarity with AWS data science and AI services, including SageMaker and Bedrock. - Proficiency in data visualization software, ideally Tableau, with exposure to QlikView, PowerBI, or similar tools. - Knowledge of code management methodologies and the ability to implement them on projects. **Desirable Skills/Preferred Qualifications:** - Experience in front-end development frameworks such as Angular/React Flask/Streamlit. - Knowledge of MVC Architecture. - Experience with Agentic AI and working in a big data environment using PySpark. In this role, you will use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves. Your insights will inform strategic decision-making, improve operational efficiency, and drive innovation across the organization. **Accountabilities:** - Identify, collect, and extract data from various sources, including internal and external sources. - Clean, wrangle, and transform data to ensure quality and suitability for analysis. - Develop and maintain efficient data pipelines for automated data acquisition and processing. - Design and conduct statistical and machine learning models to analyze patterns, trends, and relationships in the data. - Develop and implement predictive models to forecast future outcomes and identify risks and opportunities. - Collaborate with business stakeholders to add value from data through Data Science. In conclusion, as an AI Incubator Data Scientist at Barclays, you will play a pivotal role in driving innovation, leveraging cutting-edge technology, and extracting valuable insights to shape the digital landscape and deliver commercial value for the Corporate Bank.,

Role Overview: At EY, you will have the opportunity to build a career tailored to your uniqueness, with global support, an inclusive culture, and cutting-edge technology. Your voice and perspective are valued to help EY continually improve. Join EY to create an exceptional experience for yourself and contribute to building a better working world for all. Key Responsibilities: - Perform data assessment for clients using various frameworks and assist them in developing a successful data strategy. - Collaborate closely with IT, supply chain, and other stakeholders to understand data analysis needs and translate them into technical requirements. - Develop strategies to validate, clean, transform, and monitor data to ensure accuracy, consistency, completeness, reliability, and timeliness for intended uses. - Identify new data to capture and standardize, oversee standard reports and dashboards, and ensure compliance with legal and other standards. - Maintain data documentation, collaborate with cross-functional teams, and stay updated on the latest data trends and technologies in supply chain management. - Participate in data governance projects from requirements gathering to deployment, perform data analysis and manipulation based on client requirements, and implement data-driven strategic initiatives. - Possess strong SQL, data integration, and handling skills, with exposure to AI models, Python, and data cleaning/standardization. Qualification Required: - Minimum 5 years of experience as a Data Quality/Cleansing Specialist with expertise in data quality/maturity frameworks. - Proficiency in Data Governance design and setup, data strategy roadmap development, and adoption. - Familiarity with data quality standards, data profiling, data quality assessment, data cleaning, monitoring and control, and data governance. - Experience with cloud databases like Snowflake, Azure, and Databricks. - Exceptional communication skills to build relationships with senior executives, superior stakeholder management skills, critical thinking, problem-solving abilities, and the capacity to translate complex solutions into clear content. - Ability to collect and identify business requirements and translate them into functional requirements and acceptance criteria. Additional Company Details: EY is dedicated to helping a diverse range of clients, from startups to Fortune 500 companies, with varied and inspiring projects. Education, coaching, and personal development are emphasized, along with opportunities for skills development and career progression. You will work in an interdisciplinary environment that values high quality and knowledge exchange, receiving support, coaching, and feedback from engaging colleagues. EY's mission is to build a better working world by creating long-term value for clients, people, and society, and fostering trust in the capital markets. Through data and technology, EY teams worldwide provide assurance and support clients in growth, transformation, and operations across various sectors.,

As a Senior Marketing Analyst at Monks, you will have the opportunity to work closely with cross-functional teams (media, finance, operations) to perform a variety of data analysis activities. You will partner with a large tech company to help them run their advertising campaigns and provide necessary analytics support. Your role will involve working on data analysis, generating insights, and streamlining reports to help the team understand project performance effectively. Additionally, you will be responsible for managing the data team backlog, analysing complex data sets, and providing analytical support to cross-functional teams. **Key Responsibilities:** - Build, enhance and streamline reports to aid in understanding project performance. - Manage the data team backlog and serve as project manager on various data team projects. - Analyse complex data sets to identify trends, issues, and gather insights. - Provide analytical support to cross-functional teams. - Maintain data products and create visualisation tools, dashboards, reports, and spreadsheets. - Build and maintain an understanding of data flows, sources, and transformations across multiple data platforms. - Identify data issues proactively and collaborate with stakeholders for solutions. - Assist in process improvements within the data team. **Qualifications Required:** - Bachelor's/ Master's degree in Data Science, Statistics, Economics, Quantitative Finance, or other analytics-related field. - Minimum 1 year of experience using SQL, strong proficiency in spreadsheet and data visualisation tools. Familiarity with programming languages such as Javascript, R, Python is a plus. - Expertise in creating spreadsheets of findings and presenting them coherently to stakeholders. - Strong time and project management skills with high attention to detail. - Ability to think strategically, execute effectively, and deliver high-quality work under tight deadlines. - Excellent problem-solving skills with the ability to analyse and resolve complex problems using data. - Excellent communication and interpersonal skills with demonstrated ability to engage with senior leaders. Monks, the global digital operating brand of S4Capital plc, is dedicated to accelerating business possibilities by combining global marketing and technology services. Monks values diversity and inclusivity in the workplace, creating an environment where all individuals can freely express themselves and grow professionally. By embracing fresh voices and unique perspectives, Monks aims to produce work that resonates with the world and drives innovation in the industry.,

Role Overview: As a Data Engineering Lead, you will provide technical leadership and mentorship to a team of data engineers. Your primary responsibility will be to design, architect, and implement highly scalable, resilient, and performant data pipelines. Your expertise in GCP technologies like Dataproc, Cloud Composer, Pub/Sub, and BigQuery will be highly beneficial in this role. Key Responsibilities: - Guide the team in adopting best practices for data engineering, including CI/CD, infrastructure-as-code, and automated testing. - Conduct code reviews, design reviews, and provide constructive feedback to team members. - Develop and maintain robust data pipelines to ingest, process, and transform large volumes of structured and unstructured data. - Implement data quality checks and monitoring systems to ensure data accuracy and integrity. - Design and implement secure and scalable data storage solutions. - Manage and optimize cloud infrastructure costs related to data engineering workloads. - Effectively communicate technical designs and concepts to both technical and non-technical audiences. - Collaborate with cross-functional teams, product managers, and business stakeholders to deliver data solutions that meet their needs. Qualifications Required: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 7+ years of experience in data engineering and Software Development. - 7+ years of experience coding in SQL and Python/Java. - 3+ years of hands-on experience building and managing data pipelines in a cloud environment like GCP. - Strong programming skills in Python or Java, with experience in developing data-intensive applications. - Expertise in SQL and data modeling techniques for both transactional and analytical workloads. - Experience with CI/CD pipelines and automated testing frameworks. - Excellent communication, interpersonal, and problem-solving skills. - Experience leading or mentoring a team of engineers.,

As a Sr Data Engineer at Adobe, you will have the opportunity to work in a dedicated software design team, reporting directly to the Technical Manager. Your role will involve collaborating with Business Analysts to understand design specifications and translate requirements into database, ETL, or reporting solutions. Here's what you'll be doing: - Lead the integration of different data sources and contribute to the design, development, testing, deployment, and operations of Data Warehousing (DW) & Business Intelligence (BI) solutions. - Design and maintain user documentation, solution architecture, and data flow diagrams. - Deliver scalable, high-performance solutions using MSBI and the Azure Cloud platform. - Implement best practices for source code versioning, data quality, and performance optimization. - Collaborate with various stakeholders to deliver data-driven solutions in an agile environment. - Work with data science teams to operationalize Machine Learning (ML) models. - Drive improvements in data pipelines, automation, and modern data platform adoption. To succeed in this role, you will need: - A Bachelors degree in computer science, Engineering, or a related field. - 7+ years of relevant experience in Data Engineering with expertise in SQL Server and the Azure Cloud Platform (Azure SQL, ADF, Databricks). - Proficiency in T-SQL, stored procedures, and database performance tuning. - Hands-on experience with Databricks, Big Data platforms, and GenAI technologies. - Experience in supporting and deploying ML models, scripting/programming languages such as Python and DAX. - Strong problem-solving skills and the ability to learn quickly in a fast-paced environment. - Ability to mentor junior engineers and contribute to architectural decision-making. At Adobe, you will be part of a supportive work environment that values continuous growth and feedback. If you are looking to make a significant impact, Adobe is the place for you. Join us in creating exceptional digital experiences for everyone! Note: The additional details about the company were omitted as they were not relevant to the job description provided.,

As an AI Incubator Data Scientist at Barclays, you will lead the evolution of the digital landscape, driving innovation and excellence by leveraging cutting-edge technology to enhance customer experiences. You will work within the Data Science team, particularly in the AI incubator, focusing on driving commercial value from data across the Corporate Bank. Your role will involve collaborating with senior stakeholders, developing machine learning models, applying AI to deliver commercial value, and leveraging AWS services for data transformation and AI product development. **Key Responsibilities:** - Build relationships with senior stakeholders to identify opportunities for adding value through Data Science and GenAI. - Develop machine learning models and apply AI to deliver commercial value for the Corporate Bank. - Utilize AWS services for data transformation, feature engineering, AI product development, and deployment. - Communicate complex technical ideas to stakeholders through data visualization. - Collaborate with the ML Ops team to streamline project production processes. **Essential Skills and Qualifications:** - Bachelor's or master's degree in data science or equivalent commercial experience. - Experience working with senior stakeholders throughout the data science lifecycle. - Ability to translate technical work into business terms and communicate value to stakeholders. - Commercial experience in applying machine learning techniques for business value. - Strong coding skills in Python and SQL, with an understanding of key coding principles. - Familiarity with AWS data science and AI services, including SageMaker and Bedrock. - Proficiency in data visualization software, especially Tableau, with exposure to other similar tools. - Knowledge of code management methodologies and their implementation in projects. **Desirable Skills/Preferred Qualifications:** - Experience in front-end development frameworks like Angular/React Flask/Streamlit. - Understanding of MVC Architecture and Agentic AI. - Experience working in a big data environment using PySpark. In this role, you will use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves. By leveraging these insights, you will inform strategic decision-making, improve operational efficiency, and drive innovation across the organization. As an Analyst, you are expected to perform activities in a timely manner with high standards, driving continuous improvement. You will lead and supervise a team, guide professional development, allocate work, and coordinate resources. Additionally, you will collaborate with other functions and business areas, take responsibility for managing risk and strengthening controls, and advise decision-making within your area of expertise. All colleagues at Barclays are expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset to Empower, Challenge, and Drive. As an AI Incubator Data Scientist at Barclays, you will lead the evolution of the digital landscape, driving innovation and excellence by leveraging cutting-edge technology to enhance customer experiences. You will work within the Data Science team, particularly in the AI incubator, focusing on driving commercial value from data across the Corporate Bank. Your role will involve collaborating with senior stakeholders, developing machine learning models, applying AI to deliver commercial value, and leveraging AWS services for data transformation and AI product development. **Key Responsibilities:** - Build relationships with senior stakeholders to identify opportunities for adding value through Data Science and GenAI. - Develop machine learning models and apply AI to deliver commercial value for the Corporate Bank. - Utilize AWS services for data transformation, feature engineering, AI product development, and deployment. - Communicate complex technical ideas to stakeholders through data visualization. - Collaborate with the ML Ops team to streamline project production processes. **Essential Skills and Qualifications:** - Bachelor's or master's degree in data science or equivalent commercial experience. - Experience working with senior stakeholders throughout the data science lifecycle. - Ability to translate technical work into business terms and communicate value to stakeholders. - Commercial experience in applying machine learning techniques for business value. - Strong coding skills in Python and SQL, with an understanding of key coding principles. - Familiarity with AWS data science and AI services, including SageMaker and Bedrock. - Proficiency in data visualization software, especially Tableau, with exposure to other similar tools. - Knowledge of code management methodologies and their implementation in projects. **Desirable Skills/Preferred Qualifications:** - Experience in front-end development frameworks like Angular/Rea

As a Senior Data Analyst at DataFlow Group, you will play a crucial role in leveraging data to optimize operational efficiency, identify bottlenecks, enhance service delivery, and uncover actionable insights for operational excellence and client satisfaction. **Key Responsibilities:** - **Data Analysis & Insight Generation**: - Conduct in-depth analysis of large and complex datasets to identify trends, patterns, and anomalies. - Translate raw data into clear, concise, and actionable insights addressing key business questions. - **Data Manipulation & Transformation**: - Expertly "slice and dice" data using advanced functions in Google Sheets or Microsoft Excel for analysis, model building, and report creation. - **Reporting & Visualization**: - Develop and maintain dashboards, reports, and presentations to effectively communicate analytical findings to stakeholders, including senior leadership. - **Problem Solving**: - Proactively identify business problems and opportunities, proposing data-driven solutions and strategies. - **Stakeholder Collaboration**: - Work closely with cross-functional teams to understand their data needs and provide support for decision-making. - **Data Quality & Governance**: - Contribute to ensuring data accuracy, consistency, and integrity across various data sets. **Qualifications Required:** - **Experience**: - Progressive experience in a data analytics role with a track record of delivering impactful data-driven insights. - **Mindset**: - Strong analytical and problem-solving skills with the ability to break down complex problems into manageable components. - **Data Manipulation Expertise**: - Hands-on proficiency in Google Sheets or Microsoft Excel, including advanced functions like pivot tables, VLOOKUP/XLOOKUP, conditional formatting, and charting. - **Slicing & Dicing**: - Ability to manipulate, transform, and analyze large volumes of data from various sources to uncover meaningful patterns. - **Skills**: - Excellent verbal and written communication skills to articulate complex analytical concepts clearly to non-technical audiences. - Meticulous attention to detail with a commitment to data accuracy and integrity. - Self-motivated, proactive, and able to work independently and collaboratively within a team environment. **Preferred Qualifications (Nice To Haves):** - Experience with SQL for data querying and extraction. - Experience with statistical analysis and modeling using tools like Python or R. Please note: This job description is provided by DataFlow Group, a global provider of specialized Primary Source Verification solutions and background screening services.,