software engineer

product manager

data engineer ii

engineering  manager-ai/ml Jobs in Hyderabad

engineering  manager-ai/ml

product engineer (python/pyspark) Jobs in Hyderabad

product engineer (python/pyspark)

product engineer python pyspark

Experian

<div>
 
 Company Description
 
 
 
 Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.
 
 
 We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.
 
 
 We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.
 
 
 
 Job Description
 
 
 
 
 Job description
 
 
 
 
 Job Summary
 
 
 
 We are looking for a proactive and detail-oriented Product Engineer to support the development and maintenance of data pipelines and backend services. You will work with AWS, Python, and PySpark to build reliable data workflows and assist in API development using Java. This role offers an excellent opportunity to grow your skills in cloud technologies, big data processing, and backend development while collaborating with experienced engineers and cross-functional teams.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Assist in designing and maintaining scalable data pipelines using AWS services.
 </li>
 <li>
 Support data processing tasks using PySpark and Python.
 </li>
 <li>
 Contribute to backend service and API development using Java.
 </li>
 <li>
 Collaborate with senior engineers and stakeholders to understand data requirements.
 </li>
 <li>
 Monitor and troubleshoot data workflows and performance issues.
 </li>
 <li>
 Ensure data accuracy and consistency across platforms.
 </li>
 <li>
 Learn and apply best practices in data engineering and software development.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Hands-on experience with AWS services like S3, Lambda, and Glue.
 </li>
 <li>
 Working knowledge of PySpark and Python for data processing.
 </li>
 <li>
 Basic experience with Java (at least 1 year).
 </li>
 <li>
 Familiarity with ETL processes and data warehousing concepts.
 </li>
 <li>
 Understanding of relational databases and NoSQL systems.
 </li>
 <li>
 Exposure to version control tools like Git.
 </li>
 <li>
 Good problem-solving and communication skills.
 </li>
 <li>
 Eagerness to learn and grow in a collaborative environment.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Exposure to CI/CD pipelines.
 </li>
 <li>
 Awareness of data security and compliance practices.
 
 
 </li>
 </ul>
 AWS foundational or associate-level certification is a plus.
 
 
 
 Qualifications
 
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 AWS: S3, Lambda, Glue, Working knowledge of PySpark &amp; Python for data processing, Basic Java experience (~1+ year)
 </li>
 <li>
 Familiarity with ETL processes and data warehousing concepts, Understanding of relational databases and NoSQL systems
 </li>
 <li>
 Exposure to version control tools like Git
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward &amp; recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces&trade; 2024 (Fortune Top 25), Great Place To Work&trade; in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.
 
 
 Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
 
 
 Experian Careers - Creating a better tomorrow together
 
 
 Find out what its like to work for Experian by clicking here
</div>

Product Engineer (Python/pyspark)

Novartis India

<div>
 
 Summary
 
 
 
 20 years of untapped data waiting to be explored. The digital revolution is changing everything, especially in pharmaceuticals, and Novartis has embraced a bold strategy to drive a company-wide digital transformation. With this mission, Data Operations group within BSI is working with the Novartis Business units and industry leading technology partners, to drive the execution of Novartis&rsquo; data strategy, turning its rich data resources into real strategic assets to drive actionable insights across the organization. This ambition is one of key pillars in the broader digital transformation happening at Novartis to be a &lsquo;medicines and data science company.
 
 
 We are looking for a skilled and enthusiastic Data Engineer with expertise in any of the ETL tools, Databricks, Snowflake SQL, and PySpark to join our innovative team.
 
 
 As a Data Engineer, you will be responsible for designing, implementing, and optimizing scalable data pipelines, ensuring data quality, and building robust data infrastructure.
 
 
 You will collaborate closely with data scientists, domain experts, and other stakeholders to ensure the efficient and reliable flow of data across the organization.
 
 
 
 About The Role
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 ETL Development: Design, implement, and maintain scalable ETL pipelines to extract, transform, and load data from various sources into data warehouses or data lakes.
 </li>
 <li>
 Databricks Utilization: Leverage Databricks to develop, optimize, and scale data engineering workflows.
 </li>
 <li>
 Data Modelling: Design and implement robust data models to support analytics and reporting needs.
 </li>
 <li>
 SQL Proficiency: Write, optimize, and maintain complex SQL queries for data extraction and transformation tasks.
 </li>
 <li>
 PySpark Development: Utilize PySpark for big data processing tasks, developing scalable and efficient solutions.
 </li>
 <li>
 Data Quality and Validation: Implement data quality checks and validation processes to ensure data accuracy and consistency.
 </li>
 <li>
 Data Integration: Integrate data from multiple sources, ensuring data consistency and reliability.
 </li>
 <li>
 Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
 </li>
 <li>
 Documentation: Create and maintain comprehensive documentation for data pipelines, data models, and related processes.
 </li>
 <li>
 Performance Optimization: Optimize data processing performance by fine-tuning ETL pipelines and data storage solutions.
 </li>
 <li>
 Security and Compliance: Ensure compliance with data governance policies and security protocols to protect sensitive and confidential information.
 </li>
 <li>
 Continuous Improvement: Stay current with industry trends and emerging technologies, continuously improving data engineering practices.
 
 
 </li>
 </ul>
 
 Education (minimum/desirable)
 
 
 
 Bachelor's or master&rsquo;s degree in computer science, Engineering, Information Systems, or a related field.
 
 
 
 Experience / Skills
 
 
 
 <ul>
 <li>
 8+ years&rsquo; experience in a Global company as a data steward, engineer, modeler or data scientist, with a strong focus on ETL tools, SQL, and PySpark.
 </li>
 <li>
 Business understanding of pharmaceutical industry and data standards. Domain experience in at least one of the following areas &ndash; a) Pharma R&amp;D, b) Manufacturing, Procurement and Supply Chain and c) Marketing and Sales. Experience in working in Pharma / Life Science industry strongly preferred
 </li>
 <li>
 Strong proficiency in SQL and experience with database management systems (e.g., PostgreSQL, MySQL, Oracle).
 </li>
 <li>
 Hands-on experience with Databricks for developing and optimizing data workloads.
 </li>
 <li>
 Proficiency in PySpark for big data processing tasks.
 </li>
 <li>
 Knowledge of data warehousing solutions (e.g. Snowflake).
 </li>
 <li>
 Experience of working with large codebase / repos using Git / Bitbucket
 </li>
 <li>
 Strong problem-solving skills and attention to detail.
 </li>
 <li>
 Excellent communication and collaboration skills with senior stakeholders
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and their data services (Databricks).
 </li>
 <li>
 Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
 </li>
 <li>
 Knowledge of real-time data processing and streaming technologies.
 </li>
 <li>
 Proficiency in data visualization tools (e.g., Tableau, Power BI).
 </li>
 <li>
 Experience with DevOps practices and tools for CI/CD pipelines.
 
 
 </li>
 </ul>
 
 Why consider Novartis?
 
 
 
 799 million. That&rsquo;s how many lives our products touched in 2019. And while we&rsquo;re proud of that fact, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people&rsquo;s lives?
 
 
 We believe the answers are found when curious, courageous and collaborative people like you are brought together in an inspiring environment. Where you&rsquo;re given opportunities to explore the power of digital and data. Where you&rsquo;re empowered to risk failure by taking smart risks, and where you&rsquo;re surrounded by people who share your determination to tackle the world&rsquo;s toughest medical challenges.
 
 
 Imagine what you could do at Novartis!
 
 
 
 Commitment To Diversity &amp; Inclusion
 
 
 
 Novartis embraces diversity, equal opportunity and inclusion. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.
 
 
 Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network
 
 
 
 Why Novartis:
 
 Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients&rsquo; lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
 
 
 
 Join our Novartis Network:
 
 Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network
 
 
 
 Benefits and Rewards:
 
 Read our handbook to learn about all the ways we&rsquo;ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards
</div>

Senior Manager - Data Solutions

MetLife

<div>
 
 Requirements
 
 
 
 
 Description and Requirements
 
 
 
 
 GOSC- GG10- Data Scientist (IC)
 
 
 
 
 Position Title:
 
 
 
 Senior Data Scientist (IC)
 
 
 
 Function, Responsibility Level:
 
 
 
 
 Reports to (Responsibility Level):
 
 
 
 
 GG13 Director Data science or
 
 
 
 
 GG12 Lead Data Scientist
 
 
 
 
 Supervises:
 
 
 
 
 Location:
 
 
 
 Hyderabad/Noida
 
 
 
 Global Grade: 10
 
 
 
 
 Cost Center (85 series):
 
 
 
 ####
 
 
 
 Complexity:
 
 
 
 
 PID/s Load Mapping:
 
 
 
 
 Position Summary
 
 
 
 Continuing with the tradition of innovation, MetLife, as part of its Data and Analytics function, has established a Data and Analytics (DnA) center in India. The setup of DnA center is a key multi-year strategic initiative focused on scaling business solutions using AI, data science, data governance, data engineering, business intelligence, agile project management capabilities, enabling more cost-effective analytics operating model and increasing AI maturity across the MetLife global community.
 
 
 
 Role Value Proposition:
 
 
 
 We are looking for you: high performing data and analytics professional - driven by passion and purpose, to drive quality standards and support end-to-end development of actionable, high-impact AI solutions for MetLife&rsquo;s enterprise functions and lines of businesses across markets.
 
 
 This position requires hands-on experience of developing an end-to-end Machine Learning/AI solution that can be leveraged for maximum business impact through on prem /cloud in both real time and batch mode depending upon business requirements. The role would collaborate with multiple stakeholders under the guidance of Lead/Director Data scientists to develop robust, stable, and scalable advanced analytics/machine learning solutions leveraging new age methodologies/techniques. Superior problem-solving ability, curiosity, strong coding skills and attention to detail are the key success factors.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Hands on development and implementation of AI/ generative AI models &amp; algorithms to solve complex problems and drive innovation across organization.
 </li>
 <li>
 Collaborate with Lead Data Scientist/AI product owner to translate given business problem into analytical use-cases with defined outcomes.
 </li>
 <li>
 Perform data exploration, machine learning models development &amp; active collaboration with cross functional teams
 </li>
 <li>
 Contribute to the implementation of AI solutions to deliver business impact with focus on value, success criteria alignment, scalability, and operationalization.
 </li>
 <li>
 Drive best practices throughout development process, efficient coding and publish learnings/feedback for continuous learning.
 </li>
 <li>
 Drive innovation within teams, by enhancing existing solutions and designing new ones.
 
 
 
 </li>
 </ul>
 
 Knowledge, Skills, And Abilities
 
 
 
 
 Education
 
 
 
 Bachelor&rsquo;s/master&rsquo;s degree in an information technology/computer science or relevant domain
 
 
 
 Experience
 
 
 
 
 Technology Skills
 
 
 
 <ul>
 <li>
 3-5 years of hands-on experience in Analytics, data science or similar function
 </li>
 <li>
 Strong hands-on proficiency in any of Data Science technologies i.e., Python, PySpark,
 
 
 
 </li>
 </ul>
 , R &amp; have experience in machine learning libraries &amp; frameworks such as
 
 
 TensorFlow, PyTorch, or Keras.
 
 
 <ul>
 <li>
 Strong hands-on expertise in traditional as well as modern statistical &amp; ML techniques like regression, support vector machines, Regularization, Boosting, Random Forests &amp; other ensemble methods.
 </li>
 <li>
 Good Understanding of NLP models using: Nltk, spacy, Word 2 Vec , BERT etc.
 </li>
 <li>
 Experience in technologies like Azure, AWS, and advanced analytics concepts like
 
 
 
 </li>
 </ul>
 Simulation, Deep Learning etc. are considered as a plus.
 
 
 <ul>
 <li>
 Ability to meet deadlines for product deliverables in a timely, proactive, and
 
 
 
 </li>
 </ul>
 entrepreneurial manner.
 
 
 
 General Management skills:
 
 
 
 <ul>
 <li>
 Analytical and problem-solving skills to ideate.
 </li>
 <li>
 Excellent written and verbal communication skills; ability to discuss technical issues with peers, business stakeholders and senior management.
 </li>
 <li>
 Strong conceptual and creative problem-solving skills; ability to learn new and complex concepts quickly.
 
 
 
 </li>
 </ul>
 
 Working Relationships
 
 
 
 
 Internal Contacts
 
 
 (And purpose of relationship):
 
 
 
 MetLife GTO Engineering, Digital Office and Global Data and analytics
 
 
 Business
 
 
 GOSC Leadership
 
 
 
 External Contacts
 
 
 
 (And purpose of relationship) &ndash; If Applicable
 
 
 Vendors
 
 
 Consultants
 
 
 
 About MetLife
 
 
 
 Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World&rsquo;s 25 Best Workplaces&trade;, MetLife, through its subsidiaries and affiliates, is one of the world&rsquo;s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
 
 
 Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we&rsquo;re inspired to transform the next century in financial services. At MetLife, it&rsquo;s #AllTogetherPossible . Join us!
</div>

Data Scientist - I

NVIDIA

<div>
 The NVIDIA SW groups are looking for a highly motivated, dynamic
 
 Software Engineer
 
 to help us develop/test/automate/implement softwares for our cutting-edge technology. Are you passionate about new technology and looking forward to work on next-generation NVIDIA Products? Do you love to provide innovative solutions and have fun while working on complex problems. Nvidia is looking for great software engineers like you to join us in our engineering groups.
 
 
 
 What You'll Be Doing
 
 
 
 <ul>
 <li>
 Work on the complete Product life cycle and in-process design, develop build, and improve our software stack.
 </li>
 <li>
 Triage and debug complex issues.
 </li>
 <li>
 Improve the system performance of Nvidia products.
 </li>
 <li>
 Building and customizing existing infrastructure to enable the effort of system tunning, debugging, automation, and validation across workloads.
 </li>
 <li>
 Analyzing performance bottlenecks and implementing optimization techniques.
 </li>
 <li>
 Collaborate with various teams on new product features and improvements of existing products.
 
 
 </li>
 </ul>
 
 What We Need To See
 
 
 
 <ul>
 <li>
 BTECH/MTECH with 3+ years of experience in C/C++ /Python/Java/Golang
 </li>
 <li>
 Strong programming skills, OOPS, Data structures, and Algorithms.
 </li>
 <li>
 Experience in Windows / Linux / embedded OS environment.
 </li>
 <li>
 Excellent problem-solving and analytical skills.
 </li>
 <li>
 If you have experience in at least a few of the following areas, we will have an excellent match for our needs:
 </li>
 <ul>
 <li>
 System Software /Embedded/Firmware/Device Driver/Kernel.
 </li>
 <li>
 Cloud/UI/Full-Stack/Backend/Distributed Systems
 </li>
 <li>
 SRE/DevOps/Kubernetes
 </li>
 <li>
 Automation/Tools development/Test development
 </li>
 <li>
 AI/ML/LLM/DL/Speech/NLP
 </li>
 </ul>
 <li>
 Good interpersonal skills and ability to work as an excellent teammate.
 </li>
 <li>
 Excellent communication skills to collaborate with cross-cultural teams and work in a matrix organization.
 
 </li>
 </ul>
 With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world&rsquo;s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and independent, with a genuine passion for technology, we want to hear from you.
 
 
 JR1979695
 
 
</div>

Software Engineer

Microsoft

<div>
 Are you passionate about shaping the future applications of AI and empowering millions of users to unlock their full potential? The OneNote team is at the forefront of an exciting transformation with Copilot Notebooks: intelligent, dynamic notebooks infused with powerful AI that act as a true "second brain." Imagine effortlessly capturing ideas, intuitively understanding complex information, and seamlessly taking informed action. This is the heart of our mission.
 
 
 We plan to build transformational experiences in Copilot notebook and are looking to hire a
 
 Software Engineer II
 
 in the OneNote Web team. The problems we solve will include building a multitude of grounding capabilities, creation of richer artefacts, multi-modal capture support, and above all building agent support on top of Copilot notebooks. The problems will also encompass deep architectural improvements to optimize performance and increase reliability. We plan to build these experiences at scale across all Web and mobile platforms and will continue to use the best-in-class infrastructure that boosts developer productivity &amp; engineering velocity.
 
 
 We are looking for creative problem solvers and diverse thinkers, people who care about culture as well as customers and features.  We believe that how we do things is at least as important as what we do.  Big vision, a common purpose, passion for quality, curiosity as well as grit, and investment in fun and collaboration are what lead to great results.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and implementation of high-quality features/experiences in an iterative and rapid manner.
 </li>
 <li>
 Demonstrate passion for quality with customer empathy.
 </li>
 <li>
 Demonstrate ownership and technical expertise of product areas.
 </li>
 <li>
 Be self-motivated to identify and fix gaps in our product/engineering stack.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 </li>
 <ul>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 4+ years of software development experience.
 </li>
 <li>
 4+ years of Full stack experience in Web technologies.
 </li>
 <li>
 Proficiency in one of the following languages - TypeScript, JS, C#, or Java.
 </li>
 <li>
 Solid problem solving, debugging, and troubleshooting skills.
 </li>
 <li>
 Working in agile teams with strong customer focus.
 </li>
 <li>
 Good communication and cross group collaboration skills.
 </li>
 <li>
 Experience in Cloud and distributed systems is a big plus.
 
 </li>
 </ul>
 
 Other Requirements
 
 
 
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
 
 
 <ul>
 <li>
 Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science
 </li>
 <ul>
 <li>
 OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 </li>
 <li>
 OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 </li>
 <li>
 OR equivalent experience.
 
 </li>
 </ul>
 </ul>
 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 (WEB)

<div>
 Requisition Id : 1637229
 
 
 Role:
 
 
 The Data Engineer, Specialist is responsible for designing, developing and maintaining scalable data pipelines and infrastructure to support analytics and business intelligence initiatives. This role involves building robust ETL (Extract, Transform, Load) processes, managing databases and optimizing cloud-based data platforms to ensure efficient and seamless integration of data from multiple sources.
 
 
 Roles &amp; Responsibilities:
 
 
 Develop and maintain scalable ETL (Extract, Transform, Load) processes to efficiently extract data from diverse sources, transform it as required and load it into data warehouses or analytical systems.
 
 
 Design and optimize database architectures and data pipelines to ensure high performance, availability and security while supporting structured and unstructured data.
 
 
 Integrate data from multiple sources, including APIs, third-party services and on-prem/cloud databases to create unified and consistent datasets for analytics and reporting.
 
 
 Collaborate with data scientists, analysts and business stakeholders to understand their data needs, develop data solutions and enable self-service analytics.
 
 
 Develop automated workflows and data processing scripts using Python, Spark, SQL, or other relevant technologies to streamline data ingestion and transformation.
 
 
 Optimize data storage and retrieval strategies in cloud-based data warehouses such as AWS Redshift, Google Big Query, or Azure Synapse, ensuring scalability and cost-efficiency.
 
 
 Maintain and improve data quality by implementing validation frameworks, anomaly detection mechanisms and data cleansing processes.
 
 
 Thoroughly tests code to ensure accuracy and alignment with its intended purpose. Reviews the final product with end users to confirm clarity and understanding, providing data analysis guidance as needed.
 
 
 Offers tool and data support to business users and team members, ensuring seamless functionality and accessibility.
 
 
 Conducts regression testing for new software releases, identifying issues and collaborating with vendors to resolve them and successfully deploy the software into production.
</div>

Data Engineer, Specialist

Prefr (Formerly CreditVidya)

<div>
 
 As a Decision Scientist, you will be the analytical backbone supporting Business, Growth, Product, and Risk teams, transforming complex data into strategic insights that drive multi-functional success across our lending ecosystem.
 
 
 
 
 <ul>
 <li>
 Analyze multi-dimensional data to identify user patterns, emerging trends, and risk signals that inform lending and growth strategies.
 </li>
 <li>
 Develop and maintain churn and propensity models to detect disengaged users and recommend data-driven interventions that improve retention and product stickiness.
 </li>
 <li>
 Lead campaign analytics by building user segments and evaluating communication effectiveness, with a focus on improving targeting, engagement, and in-funnel conversion performance.
 </li>
 <li>
 Partner with product teams to guide feature development, using insights from cohort analysis, funnel diagnostics, and retention trends to improve user journeys and experience.
 </li>
 <li>
 Collaborate with cross-functional teams including Product, Risk, Tech, Compliance, and Business to build and execute analytical solutions aligned with organizational priorities.
 </li>
 <li>
 Own the end-to-end execution of strategic analytical initiatives, from problem framing and hypothesis design to stakeholder communication and impact tracking.
 </li>
 <li>
 Support and mentor junior analysts, fostering analytical rigor and promoting best practices in data hygiene, modeling, and experimentation across the broader analytics team.
 </li>
 </ul>
 
 
 
 
 
 You should apply if you
 
 
 <ul>
 <li>
 Have 4+ years of hands-on experience in data science or analytics roles, solving real-world business problems.
 </li>
 <li>
 Hold a Bachelor's or Master&rsquo;s degree in a quantitative field such as Engineering, Statistics, Mathematics, or a related discipline.
 </li>
 <li>
 Have strong analytical skills with the ability to interpret diverse datasets and translate insights into solutions for specific business challenges.
 </li>
 <li>
 Have strong proficiency in Python and/or SQL, with experience handling large datasets and working with distributed computing tools.
 </li>
 <li>
 Communicate effectively and enjoy collaborating with cross-functional teams, including product, business, and risk.
 </li>
 <li>
 Are passionate about data, always eager to explore, experiment, and apply data-driven approaches to solve complex problems.
 </li>
 </ul>
 
 
 
 
 
 Must Have Skills
 
 
 <ul>
 <li>
 Strong proficiency in Python programming and SQL querying, with experience handling and analyzing large datasets.
 </li>
 <li>
 Excellent quantitative and analytical skills with the ability to translate data insights into actionable business solutions.
 </li>
 <li>
 Strong organizational, communication, and presentation skills to effectively collaborate with cross-functional teams and stakeholders.
 </li>
 <li>
 Proven experience driving business impact through analytical projects from end-to-end.
 </li>
 <li>
 Passion for working with data and solving complex problems in a fast-paced environment.
 </li>
 </ul>
</div>

Decision Scientist

Explore 127+ Product engineer python pyspark in Hyderabad this November. Find roles across top companies and apply now to boost your career.