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Delta Air Lines

<div>
 
 
 About Delta Tech Hub:
 
 
 
 Delta Air Lines (NYSE: DAL) is the U.S. global airline leader in safety, innovation, reliability and customer experience. Powered by our employees around the world, Delta has for a decade led the airline industry in operational excellence while maintaining our reputation for award-winning customer service. With our mission of connecting the people and cultures of the globe, Delta strives to foster understanding across a diverse world and serve as a force for social good. Delta has fast emerged as a customer-oriented, innovation-led, technology-driven business. The Delta Technology Hub will contribute directly to these objectives. It will sustain our long-term aspirations of delivering niche, IP-intensive, high-value, and innovative solutions. It supports various teams and functions across Delta and is an integral part of our transformation agenda, working seamlessly with a global team to create memorable experiences for customers.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 Data Pipeline Development and Maintenance:
 
 
 <ul>
 <li>
 Build and optimize scalable ETL/ELT pipelines to ingest data from diverse sources such as APIs, cloud platforms, and databases.
 </li>
 <li>
 Ensure pipelines are robust, efficient, and capable of handling large volumes of data.
 </li>
 </ul>
 
 
 
 
 
 Data Integration and Harmonization:
 
 
 <ul>
 <li>
 Implement data transformation and enrichment processes to support analytics and reporting needs.
 </li>
 </ul>
 
 
 
 
 
 Data Quality and Monitoring:
 
 
 <ul>
 <li>
 Troubleshoot and resolve issues related to data quality, latency, or performance.
 </li>
 </ul>
 
 
 
 
 
 Collaboration with Stakeholders:
 
 
 <ul>
 <li>
 Provide technical support and guidance on data-related issues or projects.
 </li>
 </ul>
 
 
 
 
 
 Tooling and Automation:
 
 
 <ul>
 <li>
 Leverage cloud-based solutions and frameworks (e.g., AWS) to streamline processes and enhance automation.
 </li>
 <li>
 Maintain and optimize existing workflows while continuously identifying opportunities for improvement.
 </li>
 </ul>
 
 
 
 
 
 Documentation and Best Practices:
 
 
 <ul>
 <li>
 Document pipeline architecture, data workflows, and processes for both technical and non-technical audiences.
 </li>
 <li>
 Follow industry best practices for version control, security, and data governance.
 </li>
 </ul>
 
 
 
 
 
 Continuous Learning and Innovation:
 
 
 <ul>
 <li>
 Stay current with industry trends, tools, and technologies in data engineering and marketing analytics.
 </li>
 <li>
 Recommend and implement innovative solutions to improve the scalability and efficiency of data systems.
 </li>
 </ul>
 
 
 
 
 
 What you need to succeed (minimum qualifications):
 
 
 <ul>
 <li>
 Bachelor of Science degree in Computer Science or equivalent
 </li>
 <li>
 At least 3+ years of experience as a data engineer developing and maintaining data pipelines
 </li>
 <li>
 Strong experience with databases and data platforms (AWS preferred)
 </li>
 <li>
 Proficiency in Python, SQL, PySpark
 </li>
 <li>
 Experience in Data Quality, Data Modeling, Data Analytics/BI, Data Enrichment.
 </li>
 <li>
 Understanding of concepts such as normalization, SCD (Slowly changing dimensions) and CDC (Change data capture)
 </li>
 <li>
 Experience in working on streaming event platforms such as Kafka/Kinesis
 </li>
 <li>
 Knowledge of non-relational databases
 </li>
 <li>
 Preferable experience in DBT for data transformation and modeling.
 </li>
 <li>
 Good understanding of data warehouses, ETL/ELT, AWS architecture (using Glue, SQS, SNS, S3, step functions etc.,)
 </li>
 <li>
 Understanding of orchestration tools such as Airflow
 </li>
 <li>
 Ability to create clean, well-designed code and systems
 </li>
 <li>
 Strong attention to detail and a commitment to data accuracy.
 </li>
 <li>
 Proven ability to learn new data models quickly and apply them effectively in a fast-paced environment.
 </li>
 <li>
 Ability to work collaboratively in a team environment.
 </li>
 </ul>
</div>

Data Engineer [T500-19944]

<div>
 
 
 About Delta Tech Hub:
 
 
 
 Delta Air Lines (NYSE: DAL) is the U.S. global airline leader in safety, innovation, reliability and customer experience. Powered by our employees around the world, Delta has for a decade led the airline industry in operational excellence while maintaining our reputation for award-winning customer service. With our mission of connecting the people and cultures of the globe, Delta strives to foster understanding across a diverse world and serve as a force for social good. Delta has fast emerged as a customer-oriented, innovation-led, technology-driven business. The Delta Technology Hub will contribute directly to these objectives. It will sustain our long-term aspirations of delivering niche, IP-intensive, high-value, and innovative solutions. It supports various teams and functions across Delta and is an integral part of our transformation agenda, working seamlessly with a global team to create memorable experiences for customers.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 Data Pipeline Development and Maintenance:
 
 
 <ul>
 <li>
 Build and optimize scalable ETL/ELT pipelines to ingest data from diverse sources such as APIs, cloud platforms, and databases.
 </li>
 <li>
 Ensure pipelines are robust, efficient, and capable of handling large volumes of data.
 </li>
 </ul>
 
 
 
 
 
 Data Integration and Harmonization:
 
 
 <ul>
 <li>
 Implement data transformation and enrichment processes to support analytics and reporting needs.
 </li>
 </ul>
 
 
 
 
 
 Data Quality and Monitoring:
 
 
 <ul>
 <li>
 Troubleshoot and resolve issues related to data quality, latency, or performance.
 </li>
 </ul>
 
 
 
 
 
 Collaboration with Stakeholders:
 
 
 <ul>
 <li>
 Provide technical support and guidance on data-related issues or projects.
 </li>
 </ul>
 
 
 
 
 
 Tooling and Automation:
 
 
 <ul>
 <li>
 Leverage cloud-based solutions and frameworks (e.g., AWS) to streamline processes and enhance automation.
 </li>
 <li>
 Maintain and optimize existing workflows while continuously identifying opportunities for improvement.
 </li>
 </ul>
 
 
 
 
 
 Documentation and Best Practices:
 
 
 <ul>
 <li>
 Document pipeline architecture, data workflows, and processes for both technical and non-technical audiences.
 </li>
 <li>
 Follow industry best practices for version control, security, and data governance.
 </li>
 </ul>
 
 
 
 
 
 Continuous Learning and Innovation:
 
 
 <ul>
 <li>
 Stay current with industry trends, tools, and technologies in data engineering and marketing analytics.
 </li>
 <li>
 Recommend and implement innovative solutions to improve the scalability and efficiency of data systems.
 </li>
 </ul>
 
 
 
 
 
 What you need to succeed (minimum qualifications):
 
 
 <ul>
 <li>
 Bachelor of Science degree in Computer Science or equivalent
 </li>
 <li>
 At least 2+ years of experience as a data engineer developing and maintaining data pipelines
 </li>
 <li>
 Strong experience with databases and data platforms (AWS preferred)
 </li>
 <li>
 Proficiency in Python, SQL, PySpark
 </li>
 <li>
 Experience in Data Quality, Data Modeling, Data Analytics / BI, Data Enrichment.
 </li>
 <li>
 Understanding of concepts such as normalization, SCD (Slowly changing dimensions) and CDC (Change data capture)
 </li>
 <li>
 Experience in working on streaming event platforms such as Kafka / Kinesis
 </li>
 <li>
 Knowledge of non-relational databases
 </li>
 <li>
 Preferable experience in DBT for data transformation and modeling.
 </li>
 <li>
 Good understanding of data warehouses, ETL / ELT, AWS architecture (using Glue, SQS, SNS, S3, step functions etc.,)
 </li>
 <li>
 Understanding of orchestration tools such as Airflow
 </li>
 <li>
 Ability to create clean, well-designed code and systems
 </li>
 <li>
 Strong attention to detail and a commitment to data accuracy.
 </li>
 <li>
 Proven ability to learn new data models quickly and apply them effectively in a fast-paced environment.
 </li>
 <li>
 Ability to work collaboratively in a team environment.
 </li>
 </ul>
</div>

Data Engineer [T500-19942]

HDFC Bank

<div>
 <ul>
 <li>
 Good Understanding of Azure Cloud Engineering &ndash; ADLS, Iceberg, Databricks, AKS, RHEL
 </li>
 <li>
 Fundamentals of DevOps, DevSecOps, CD / CI Pipeline using ADO
 </li>
 <li>
 Good understanding of MPP Architecture, MySQL, RDS, MS-SQL DB, Oracle ,Postgres DB
 </li>
 <li>
 Would need to interact with Software Integrators on a day-to- day basis.
 </li>
 <li>
 Deployment and testing skills  Strong communication skills
 </li>
 <li>
 ELT - Trino, Azure Data factory, Azure Databricks, PySpark, Python, Iceberg, Parquet
 </li>
 <li>
 CDC Tool like Qlik/ Golden Gate/Dbsium/IBM CDC, Kafka/ Solace
 </li>
 <li>
 Scripting &ndash; Shell, Python, Java,
 </li>
 <li>
 Good understanding of MS- Project Development skill using Trino, PySpark and Databricks2 or more years of experience of software or application development and implementation
 </li>
 <li>
 Experience with data integration concepts
 </li>
 </ul>
</div>

Azure Data Engineer

Microsoft

<div>
 The Commerce Data Platform team is committed to building robust, scalable, extensible and highly reliable data-driven products that empower our commerce business with trustworthy actionable insights and seamless operations. We are seeking a skilled Software Engineer who excels in software engineering best practices and has a passion for leveraging AI-powered coding tools to enhance development efficiency and software quality.
 
 
 As a Platform Software Engineer, you&rsquo;ll be deeply involved in designing, building, and maintaining sophisticated distributed data systems. You will employ core software engineering disciplines&mdash;such as code modularity, CI/CD, automated testing, code reviews, and system design&mdash;while also incorporating AI-based coding practices (e.g., code generation, intelligent code completion, automated refactoring, and static analysis with AI tools) into your daily workflow. Collaboration with cross-functional teams is key to delivering high-quality, scalable, and maintainable solutions.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, implement, and maintain distributed data processing systems using state-of-the-art engineering principles.
 </li>
 <li>
 Leverage AI-powered coding tools and practices to accelerate development, ensure code quality, and automate routine tasks.
 </li>
 <li>
 Develop clean, maintainable, and well-documented code with a strong emphasis on unit/integration testing, code reviews, and automation.
 </li>
 <li>
 Build and optimize scalable ETL pipelines for analytics and machine learning applications, using distributed frameworks (e.g., Spark, Hadoop, Synapse).
 </li>
 <li>
 Write advanced SQL for data extraction, transformation, and analysis, ensuring performance and correctness.
 </li>
 <li>
 Collaborate effectively with product, data science, and analytics teams to translate requirements into robust software solutions.
 </li>
 <li>
 Troubleshoot, debug, and proactively improve system reliability and performance.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
 </li>
 <li>
 4-5 years of professional experience in software engineering, data engineering, or big data platforms.
 </li>
 <li>
 Solid foundation in software design principles, algorithms, and data structures.
 </li>
 <li>
 Hands-on experience with distributed data processing frameworks (such as Apache Spark, Hadoop, or similar).
 </li>
 <li>
 Strong SQL fundamentals and the ability to write complex, optimized queries.
 </li>
 <li>
 Practical experience with AI-powered coding tools (e.g., GitHub Copilot, TabNine, automated code review/analysis platforms).
 </li>
 <li>
 Experience building and maintaining automated test suites, CI/CD pipelines, Observability and code review processes.
 </li>
 <li>
 Excellent problem-solving skills and attention to detail.
 </li>
 <li>
 Strong communication and collaboration skills, with a focus on teamwork and shared ownership.
 
 
 </li>
 </ul>
 #C+E
 
 
 #CPXJOBS
 
 
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Software Engineer II

<div>
 
 
 About Delta Tech Hub:
 
 
 
 Delta Air Lines (NYSE: DAL) is the U.S. global airline leader in safety, innovation, reliability and customer experience. Powered by our employees around the world, Delta has for a decade led the airline industry in operational excellence while maintaining our reputation for award-winning customer service. With our mission of connecting the people and cultures of the globe, Delta strives to foster understanding across a diverse world and serve as a force for social good. Delta has fast emerged as a customer-oriented, innovation-led, technology-driven business. The Delta Technology Hub will contribute directly to these objectives. It will sustain our long-term aspirations of delivering niche, IP-intensive, high-value, and innovative solutions. It supports various teams and functions across Delta and is an integral part of our transformation agenda, working seamlessly with a global team to create memorable experiences for customers.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design and maintain integrated data assets using SQL, AWS Glue, and other technologies to support analytics across digital channels.
 </li>
 <li>
 Build and monitor scalable data models that reflect customer experience performance and enable strategic decision-making.
 </li>
 <li>
 Ensure data quality and integrity through proactive testing, anomaly detection, and automated monitoring processes.
 </li>
 <li>
 Develop and govern dashboards in Tableau, Adobe Analytics, and Quantum Metric to support self-service analytics and performance visibility.
 </li>
 <li>
 Partner with cross-functional teams to align datasets, define KPIs, and ensure a single source of truth across reporting tools.
 </li>
 <li>
 Manage and optimize data infrastructure within EDW, including sandbox environments, production tables, and data refresh automation.
 </li>
 <li>
 Support deep-dive analysis by writing complex SQL queries across diverse data sources (e.g., RPAD, PNR, Qualtrics).
 </li>
 <li>
 Collaborate with IT and data engineering teams to onboard external data sources and stitch together customer journey data across channels.
 </li>
 <li>
 Lead governance efforts around dashboard performance, data privacy, tagging fidelity, and event creation for digital analytics.
 </li>
 <li>
 Drive training and adoption of analytics tools across product and insights teams.
 </li>
 <li>
 Partner with business analysts on the Experience Insights team to define data structures and visualization requirements for advanced reporting.
 </li>
 <li>
 Support new digital initiatives with analytical solutions and dashboard development.
 </li>
 </ul>
 
 
 
 
 
 What You Need To Succeed (Minimum Qualifications):
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, data science, or engineering
 </li>
 <li>
 5+ years of experience.
 </li>
 <li>
 Expert in writing Advance / Complex SQL queries with strong experience in Python (NumPy &amp; Pandas) and data processing tools such as AWS Glue or SAS ,
 </li>
 <li>
 Proficient with Tableau for advanced visualization &amp; advanced Calculations
 </li>
 <li>
 Understanding of dashboard creation in Adobe Analytics or Customer Journey Analytics
 </li>
 <li>
 High attention to detail, solution-oriented and capable of meeting or exceeding deadlines in a fast-paced environment.
 </li>
 <li>
 Embraces diverse people, thinking, and styles
 </li>
 </ul>
 
 
 
 
 
 What Will Give You A Competitive Edge (Preferred Qualifications):
 
 
 <ul>
 <li>
 Advanced expertise in Tableau, including the ability to build highly functional, user-centric dashboards and engineer complex calculated metrics, parameters, and interactivity that enable users to explore data dynamically and derive actionable insights.
 </li>
 <li>
 Advanced knowledge of AWS analytics toolkit (e.g., Redshift, Sagemaker, Lambda etc.)
 </li>
 <li>
 Prior experience with Delta or other airline or Hospitality data a plus
 </li>
 <li>
 Self-motivated and take pride in building great products for key stakeholders.
 </li>
 <li>
 Resourceful in finding the data and tools you need to get the job done.
 </li>
 <li>
 Not afraid to ask for help when you need it or help teammates when they need a boost.
 </li>
 <li>
 Quantum Matrices
 </li>
 </ul>
</div>

Senior Data Analyst [T500-19934]

LSEG

<div>
 Proud to share LSEG in the India is Great Place to Work certified (Jun &rsquo;25 &ndash; Jun &rsquo;26).
 
 
 Learn more about life and purpose of our company directly from India colleagues&rsquo; video: Bengaluru, India | Where We Work | LSEG
 
 
 The Entity Content team collects, manages, and supplies content for various datasets across FCO. This content is used extensively across and beyond Refinitiv/LSEG and is a critical asset to a wide range of Refinitiv/LSEG products.
 
 
 The Content Specialists will be accountable for delivering on Key Projects related to Business Cases, database and supporting Data Strategy teams and will contribute to the delivery of the content roadmap to fulfil all business requirements.
 
 
 
 The role of the Data Scientist is to:
 
 
 
 Design and develop new methodologies, quantitative models, analysis and commentary (as relevant) that enhance existing or new processes. Maintain existing product performance and independent analysis standards. Internally, work with various departments to grow new ideas and expand the scope of existing products.
 
 
 
 Essential Day-to-Day Responsibilities:
 
 
 
 <ul>
 <li>
 Data handling, data processing and programming
 </li>
 <li>
 Develop automated solutions for sourcing/loading Entity data into Database
 </li>
 <li>
 Analyze Legal entity content to establish patterns/trends
 </li>
 <li>
 Develop, improve and run quantitative models
 </li>
 <li>
 Generate solutions through machine learning for core processes
 </li>
 <li>
 Work with business, content and product groups for large-scale analytics problems
 </li>
 <li>
 Build POCs, visualizations and pipeline tools for product design and development
 </li>
 <li>
 Work with development groups for deployment of analytics solutions
 </li>
 <li>
 Interact with other internal teams as needed, with supervision.
 
 
 </li>
 </ul>
 
 Knowledge &amp; Skills:
 
 
 
 <ul>
 <li>
 Extensive experience using Python or R or equivalent
 </li>
 <li>
 Proficient in using tools and libraries such as scikit-learn, numpy, pandas and jupyter
 </li>
 <li>
 Solid relational database skills
 </li>
 <li>
 Solid understanding of statistics and statistical language such as R
 </li>
 <li>
 Ability to handle large quantities of data
 </li>
 <li>
 Narrate stories (to technical and mostly non-technical audience) about our content and processes by data analysis and visualization
 </li>
 <li>
 Strong written, communication and presentation skills. Able to respond and present work to peers, senior management and other stakeholders
 
 
 </li>
 </ul>
 
 Qualification:
 
 
 
 <ul>
 <li>
 Higher education in Statistics, Mathematics or Engineering in Computer Science with Data science certification
 
 
 </li>
 </ul>
 At LSEG, we believe that creating a diverse and inclusive organization is fundamental to the way we deliver on our promise of creating essential partnerships and open opportunities. Our open culture is central to how we deliver our purpose &ndash; driving financial stability, empowering economies and enabling customers to create sustainable growth &ndash; in everything we do.
 
 
 Working with us means that you will be part of a dynamic organization of 25,000 people across 70 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.
 
 
 LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
 
 
 We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.
 
 
 Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, your rights and how to contact us as a data subject.
 
 
 Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
 
 
 LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
 
 
 Our purpose is the foundation on which our culture is built. Our values of
 
 Integrity, Partnership
 
 ,
 
 Excellence
 
 and
 
 Change
 
 underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
 
 
 Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
 
 
 We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
 
 
 You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
 
 
 LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
 
 
 Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, your rights and how to contact us as a data subject.
 
 
 If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
</div>

Data Scientist

Definitive Healthcare

<div>
 Analytical Wizards is part of the Definitive Healthcare family. We balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what&rsquo;s now to what&rsquo;s next by unlocking the value of their data and applications to solve their challenges, achieving outcomes that benefit both business and society. Our people are our biggest asset, they drive our innovation advantage and we strive to offer a flexible and collaborative workplace where they can thrive. We offer industry-leading benefits packages to promote a creative and inclusive culture. If driving real change gives you a sense of pride and you are passionate about powering social good, we&rsquo;d love to hear from you.
 
 
 
 Role
 
 : Data Scientist / Senior Data Scientist
 
 
 
 Reports to
 
 : Associate Principal / Principal
 
 
 
 Profession
 
 : Data Science
 
 
 
 Office Location
 
 : Bangalore
 
 
 
 Job Description
 
 
 
 This position requires strong coding skills and experience in data handling and wrangling using Python. The candidate will work hands-on with projects in areas such as advanced analytics, generating reports and metrics from large, complex datasets, and solution workbenches. The role involves using a wide range of quantitative and analytical techniques to support clients in improving their business decisions.
 
 
 Additionally, the candidate will be involved in sales and marketing projects, including multi-channel marketing effectiveness, campaign performance analysis, marketing mix modeling, attribution, conversion rate optimization, segmentation, response modeling, and designing experiments (test/control analysis).
 
 
 The ideal candidate should have the ability to understand business contexts and apply relevant statistical and AI/ML tools and techniques to assigned projects. They should also have a keen aptitude for deriving insights from data, a willingness to learn data-handling tools and methods, and an openness to working within the healthcare domain. Familiarity with, or the ability to quickly learn, quantitative and analytical techniques to aid client decision-making is essential.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Expertise in custom projects focused on prescription and claims-based reporting and modeling using
 </li>
 <li>
 Partner with the Product and Customer Success teams to deliver informed analyses to customers.
 </li>
 <li>
 Create deliverables to assist with customer engagements.
 </li>
 <li>
 Collaborate with fellow team members to implement optimized solutions.
 </li>
 <li>
 Contribute to internal projects and processes.
 </li>
 <li>
 Collaborate with global team to create deliverables.
 </li>
 <li>
 Mentor junior analysts and help drive best practices.
 </li>
 <li>
 Independently scope client requests
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Data Experts with approximately 2 - 5 years of experience specializing in Python
 </li>
 <li>
 Educational background in Engineering, Operations Research, Econometrics and/or Statistics
 </li>
 <li>
 Hands-on experience with Python is mandatory.
 </li>
 <li>
 Must possess good interpersonal skills along with excellent presentation and communication skills.
 </li>
 <li>
 Proficient in Microsoft Excel and SQL.
 </li>
 <li>
 Ability to work with large data, think out of the box, assess current processes and offer ideas for improvement.
 </li>
 <li>
 Knowledge of Pharma datasets is good to have.
 
 
 </li>
 </ul>
 
 ISMS Responsibilities
 
 
 
 <ul>
 <li>
 Comply with information security policies and processes
 </li>
 <li>
 Report security weaknesses, events or potential events, or other security risks, to the organization
 </li>
 <li>
 Execute all tasks related to information security management system as appropriate
 
 
 </li>
 </ul>
 
 Why we love Analytical Wizards, and why you will too!
 
 
 
 <ul>
 <li>
 Industry leading products
 </li>
 <li>
 Work hard, and have fun doing it
 </li>
 <li>
 Incredibly fast growth means limitless opportunity
 </li>
 <li>
 Flexible and dynamic culture
 </li>
 <li>
 Work alongside some of the most talented and dedicated teammates
 </li>
 <li>
 A collaborative and friendly culture with very high employee engagement
 
 
 </li>
 </ul>
 
 About Company
 
 
 
 <ul>
 <li>
 Company Name: AnalyticalWizards Services Pvt. Ltd.
 </li>
 <li>
 Profile: A leading, high growth Analytics Software Development company developing products that touch and positively impact human lives across the globe. We are headquartered in New Jersey and have a software development and delivery center in Bangalore. Our work is mainly focused on Healthcare Industry. We develop core data science products that help our clients draw unique insights from their big data and achieve their business goals. We use advanced algorithms in the space of artificial intelligence and machine learning. Our technology-based software products are being used by the top pharma and biotechnology companies of the world. We have been recognized twice as one of fastest growing private companies of USA.
 </li>
 <li>
 Work Culture: Employee-friendly, collaborative, innovative, fast-paced, and conducive to learning
 </li>
 <li>
 Company Address: AnalyticalWizards Services Private Limited, Fortune Summit Business Park, Ground Floor, Hosur Road, Sector 6, HSR Layout, Roopena Agrahara, Bangalore - 560068
 </li>
 <li>
 Industry: Software Development and Data Science
 </li>
 </ul>
</div>

Data Scientist/Sr. Data Scientist-Data Science-AA&I

Explore 315+ Data engineer in Mangaluru this October. Find roles across top companies and apply now to boost your career.