📋 Job Details at a Glance 📍 Location Delhi NCR, India 🏢 Company Brillio 👥 Experience 0-2 years 🎓 Qualification Any Graduate 📅 Eligible Batch 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary As per Company Policy 🏢 Industry Technology 🛠 Key Skills Python Machine Learning SQL NumPy Pandas Scikit-learn Senior Data Scientist at Brillio — Full Details & How to Apply Brillio is seeking a Senior Data Scientist in Delhi NCR, India , offering freshers a chance to work with cutting-edge technologies in the tech industry. With a data quality score of 90 , this role promises significant learning and growth opportunities. The demand for Senior Data Scientist jobs is surging in India, driven by the increasing reliance on data-driven decision-making across various sectors. This role is crucial for Brillio's strategic initiatives, as the company continues to expand its digital transformation services, positioning itself as a leader in the technology landscape. Founded in 2014 , Brillio has over 1,000 employees and specializes in digital transformation, providing a robust platform for freshers to kickstart their careers. The company’s focus on innovation and employee development makes it an attractive employer for aspiring data scientists. We encourage 2022, 2023, 2024, 2025 graduates from any graduate background with 0-2 years experience to apply. The salary for this position is as per Company Policy , making it a competitive opportunity in the Delhi NCR, India jobs market. As a Senior Data Scientist, you will work with essential skills such as Python , Machine Learning , SQL , NumPy , Pandas , and Scikit-learn . This role not only enhances your technical expertise but also opens doors to advanced positions in analytics and machine learning, setting you apart from competitors. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The Senior Data Scientist at Brillio is tasked with transforming complex datasets into actionable insights that drive strategic business decisions and enhance product offerings. Analyze complex datasets using Python to derive actionable insights that inform business strategies and improve operational efficiency. Utilize SQL for data extraction and manipulation, ensuring data integrity and accuracy in reporting for informed decision-making. Collaborate with the product development team to integrate data-driven solutions into existing platforms, enhancing user experience. Measure and report on key performance indicators ( KPIs ) to assess the effectiveness of data initiatives and drive continuous improvement. Take ownership of data projects from conception through execution, ensuring timely delivery and high-quality outcomes. Document methodologies and findings using Python to facilitate knowledge sharing within the team and improve future projects. Engage with clients to understand their data needs and provide tailored analytical solutions that meet specific business objectives. This role fosters a culture of ownership, allowing you to make a direct impact on business outcomes through data-driven insights and innovative solutions. Required Skills & Technical Competencies The ideal candidate for the Senior Data Scientist position at Brillio should possess a robust skill profile that combines technical expertise with effective communication abilities. Technical Skills Python — intermediate — essential for data analysis and model building, enabling the extraction of insights from complex datasets. Machine Learning — practical application — used in developing predictive models that enhance business decision-making and operational efficiency. SQL — daily use — employed for querying databases, ensuring efficient data retrieval and manipulation for accurate reporting. NumPy — foundational — utilized for data manipulation and analysis, critical for handling large datasets effectively. Pandas — foundational — essential for data analysis, allowing for efficient data cleaning and preparation. Scikit-learn — practical application — used for implementing machine learning algorithms to derive insights from data. Soft Skills & Professional Competencies Strong communication skills — necessary for presenting data findings clearly to non-technical stakeholders, ensuring understanding and actionable insights. Analytical thinking — critical for interpreting complex datasets and deriving meaningful conclusions that inform business strategies. Problem-solving abilities — essential for addressing client data needs and providing tailored analytical solutions. Attention to detail — important for ensuring data integrity and accuracy in all reporting and analysis tasks. Good to Have (Bonus Skills) Experience with data visualization tools like Tableau , enhancing your ability to present data insights effectively. Familiarity with cloud platforms such as AWS or Azure , streamlining data processing and storage. Knowledge of big data technologies like Hadoop , expanding your capabilities in handling large datasets. When showcasing these skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact in real-world scenarios. Eligibility Criteria This role is designed for recent graduates who are eager to start their careers in data science and analytics. Any graduate degree is accepted, providing opportunities for candidates from diverse educational backgrounds. Eligible batches include 2022 , 2023 , 2024 , and 2025 , ensuring recent graduates can apply. No prior experience is required, making this role accessible for freshers entering the field. A minimum academic performance of 60% is preferred to ensure a strong foundational knowledge. Having a portfolio or GitHub showcasing relevant projects can significantly enhance your application. Documentation & Portfolio Requirements Submit your resume in a clear format, including your educational background, relevant skills, and any projects that demonstrate your capabilities in data science. Pro tip: Highlight any specific projects in your portfolio that utilized Python or SQL to solve real-world problems, as this will resonate with the hiring team. Salary for Senior Data Scientist at Brillio 💰 Compensation As per Company Policy The advertised compensation for the Senior Data Scientist role at Brillio is As per Company Policy . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Selection Process at Brillio The selection process for the Senior Data Scientist role at Brillio is designed to identify candidates with strong technical skills and cultural fit. 1 Online Assessment — 60 minutes, testing your coding and analytical skills through MCQs and coding challenges. 2 Technical Interview — focuses on Python, SQL, and machine learning concepts, assessing your practical knowledge. 3 Behavioral Interview — evaluates your problem-solving approach and cultural fit through situational questions. 4 HR Interview — discusses salary expectations and company culture, with an offer timeline of 1-2 weeks. Topic-wise Preparation Guide Round 1: Online Assessment Data Structures — understanding arrays, lists, and dictionaries, crucial for coding tasks — GeeksForGeeks Algorithms — sorting and searching algorithms relevant to data processing — LeetCode Basic SQL Queries — essential for data extraction tasks — W3Schools Python Fundamentals — syntax, functions, and libraries used in data science — Codecademy Round 2: Technical Interview Machine Learning Algorithms — focus on regression, classification, and clustering techniques — Coursera SQL Optimization — understanding query performance and indexing — GeeksForGeeks Data Cleaning Techniques — essential for preparing datasets for analysis — freeCodeCamp Statistical Analysis — basics of statistics relevant to data interpretation — Khan Academy Python Libraries — in-depth knowledge of NumPy and Pandas for data manipulation — YouTube Round 3: Behavioral Interview Behavioral questions using the STAR method — focusing on teamwork and conflict resolution. Problem-solving scenarios — related to data analysis and interpretation. Technical deep-dive — into a machine learning project you have worked on. Timeline & Expectations The application to offer timeline is approximately 1-2 weeks . Prepare thoroughly for each round, focusing on both technical skills and cultural fit. Expected Interview Questions for Senior Data Scientist at Brillio These questions are based on the role's actual tech stack and responsibilities. Technical Questions How do you handle missing data in a dataset? Explain the difference between supervised and unsupervised learning. What is the purpose of the Pandas library in Python? How would you optimize a SQL query? Describe a machine learning project you have worked on. What are the key metrics you would use to evaluate a model's performance? Behavioral Questions Describe a time when you had to work under pressure. How do you prioritize tasks when working on multiple projects? Give an example of a conflict you faced in a team and how you resolved it. What motivates you to work in data science? Role-Specific Questions What techniques would you use to analyze a large dataset? How do you ensure the accuracy of your data analysis? What steps would you take to communicate complex data findings to a non-technical audience? Structure your answers using the STAR method to clearly demonstrate your thought process and problem-solving skills. Resume Tailoring & ATS Keywords for Senior Data Scientist Optimizing your resume for ATS is crucial for getting noticed in this competitive role. ATS Keywords to Include Data Scientist Python Machine Learning SQL NumPy Pandas Scikit-learn Data Analysis Predictive Modeling Data Visualization Statistical Analysis Problem Solving Resume Tips for This Role Highlight relevant projects or internships that showcase your data science skills. Emphasize technical skills like Python and SQL, as they are critical for this role. Include a link to your GitHub or portfolio to demonstrate your coding abilities. Optimize your resume for ATS by using keywords from the job description. Avoid including unrelated work experience that does not pertain to data science. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Do not include generic skills or unrelated job experiences that do not align with the data science role. About Brillio Brillio was founded in 2014 and is headquartered in Bangalore, India , with a global presence across North America, Europe, and Asia . The company has rapidly expanded its workforce to over 2,000 employees , reflecting its commitment to digital innovation and technology-driven solutions. The core offerings of Brillio include digital transformation , cloud solutions , and data analytics . By leveraging advanced technologies, such as AI and machine learning , Brillio helps clients optimize their operations and achieve sustainable business growth. Brillio has received positive reviews on Glassdoor, boasting an impressive average rating of 4.2/5 . The company promotes an inclusive culture and offers various professional development programs, including mentorship and training initiatives, which contribute to employee satisfaction and retention. Recently, Brillio expanded its service offerings in AI and machine learning , demonstrating its dedication to staying at the forefront of technology trends. This strategic move positions the company to better serve its clients and adapt to the evolving market landscape. For freshers in technology, Brillio serves as a strong career launchpad. The opportunity to work on high-impact projects allows new employees to gain valuable experience and develop essential skills, paving the way for future career advancement in the tech industry. Why Join Brillio as Senior Data Scientist? Joining Brillio as a Senior Data Scientist offers a unique chance to engage with cutting-edge technologies and contribute to transformative projects that shape the future of businesses. Hands-on Experience — Gain practical skills in Python and SQL , essential for data manipulation and analysis in real-world applications. Advanced Machine Learning Exposure — Work with frameworks like Scikit-learn , enhancing your technical expertise and preparing you for advanced roles in data science. Career Progression Opportunities — After 1-2 years, transition into roles such as Data Analyst or Machine Learning Engineer , expanding your career trajectory. Collaborative Culture — Experience teamwork that fosters learning from seasoned professionals across various departments, enriching your knowledge base. Vibrant Delhi NCR Lifestyle — Enjoy a lively environment with access to numerous amenities and a flexible work atmosphere that promotes work-life balance. According to NexisGrow.com, the role of Senior Data Scientist at Brillio not only enhances your technical skills but also positions you within a company that values innovation and growth. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Senior Data Scientist at Brillio? Eligibility Tap to expand + Answer Candidates with Any Graduate and 0-2 years experience are eligible. Eligible batches: 2022, 2023, 2024, 2025. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Python, Machine Learning, SQL, NumPy, Pandas. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: As per Company Policy. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Brillio? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Python, Machine Learning, SQL, NumPy, Pandas. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Senior Data Scientist interview? Preparation Tap to expand + Answer (1) Core concepts of Python, Machine Learning, SQL, NumPy, Pandas, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Brillio research, (5) Clear communication. ? What is the work culture like at Brillio? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Delhi NCR Browse all Tech jobs More jobs at Brillio Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com