👋🏼We're Nagarro.
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 40 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!
Job DescriptionREQUIREMENTS:
- Total experience 11+ years.
- Hands on working experience in data science with a focus on predictive modelling) (eg. Statistical Analysis, ANOVA, Time series Analysis, Regression Analysis) and optimization.
- Strong working experience with Data Science on GCP, Generative AI fundamentals.
- Strong experience with Python (and/or R) and libraries such as Pandas, NumPy, Scikit-learn.
- Strong knowledge of Cloud Architecture and deployment of data solutions in cloud ecosystems (e.g. AWS, Azure, GCP).
- Proven expertise in machine learning, mathematical optimization (e.g., LP, IP, genetic algorithms, RL), and NLP techniques.
- Familiarity with Generative AI fundamentals and hands-on experience with RAG, Lang Chain, Llama Index, and prompt engineering.
- Strong understanding of MLOps principles and tools for CI/CD, monitoring, and model lifecycle management.
- Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
RESPONSIBILITIES:
- Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
- Mapping decisions with requirements and be able to translate the same to developers.
- Identifying different solutions and being able to narrow down the best option that meets the client’s requirements.
- Defining guidelines and benchmarks for NFR considerations during project implementation
- Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers
- Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
- Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it
- Understanding and relating technology integration scenarios and applying these learnings in projects
- Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
- Carrying out POCs to make sure that suggested design/technologies meet the requirements.
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
Skills Required
- Total experience 11+ years
- Hands-on data science experience with predictive modelling (statistical analysis, ANOVA, time series, regression) and optimization
- Strong working experience with Data Science on GCP
- Generative AI fundamentals and hands-on experience with RAG, LangChain, LlamaIndex, and prompt engineering
- Strong experience with Python (and/or R) and libraries such as Pandas, NumPy, Scikit-learn
- Strong knowledge of cloud architecture and deployment in cloud ecosystems (AWS, Azure, GCP)
- Proven expertise in machine learning, mathematical optimization (LP, IP, genetic algorithms, RL), and NLP techniques
- Strong understanding of MLOps principles and tools for CI/CD, monitoring, and model lifecycle management
- Excellent communication skills and ability to collaborate with cross-functional teams
- Bachelor's or Master's degree in Computer Science, Information Technology, or related field
Nagarro Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nagarro and has not been reviewed or approved by Nagarro.
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Pay Growth & Progression — Compensation is at times described as competitive, with salary hikes and perks occurring on certain occasions. Better growth opportunities and compensation are also positioned as an advantage versus other service-based companies.
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Flexible Benefits — Work arrangements are framed around a “work-from-anywhere” mindset with flexitime and family-friendly working models. This flexibility appears to add meaningful value to the overall rewards package for many roles.
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Healthcare Strength — Medical, dental, and vision coverage are described as available for employees and dependents, alongside life insurance. Mental-health support is also included via an Employee Assistance Program (EAP).
Nagarro Insights
What We Do
Nagarro helps future-proof your business through a forward-thinking, fluidic, and CARING mindset. We excel at digital engineering and help our clients become human-centric, digital-first organizations, augmenting their ability to be responsive, efficient, intimate, creative, and sustainable. Today, we are 19,000 experts across 36 countries, forming a Nation of Nagarrians, ready to help our customers succeed.
