📋 Job Details at a Glance 📍 Location Pune, Maharashtra 🏢 Company Artefact 👥 Experience 2-5 years 🎓 Qualification Any Graduate 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python R SQL GCP Azure AWS GA4 AdTech Random Forest XGBoost Data Scientist at Artefact — Full Details & How to Apply Artefact is seeking a talented Data Scientist to join their team in Pune, Maharashtra . This role offers a unique chance to influence data-driven decisions within a leading technology firm, making it a pivotal position in today's data-centric landscape. In the rapidly evolving technology sector, the role of a Data Scientist has never been more critical. Companies are increasingly relying on data insights to drive strategic decisions and foster innovation. As organizations navigate complex datasets and seek to leverage advanced analytics, the demand for skilled Data Scientists continues to surge. This trend underscores the relevance of this position, where you will be at the forefront of transforming raw data into actionable insights that can significantly impact business outcomes. Artefact stands out as a premier employer in the technology space, cultivating an environment where creativity and data science flourish. The company not only prioritizes cutting-edge technology but also invests in the professional growth of its employees. By joining Artefact , you will be part of a culture that encourages innovation and collaboration, making it an ideal workplace for aspiring data professionals. This opportunity is perfect for both freshers and candidates with up to 5 years of experience . If you hold a B.Tech or MCA degree and belong to the 2023, 2024, 2025, or 2026 graduating classes, you are encouraged to apply. Your educational background will provide a solid foundation for the advanced analytics and machine learning techniques you will utilize in this role. As a Data Scientist at Artefact , you will gain invaluable experience in various cutting-edge technologies and methodologies. You will enhance your skills in Python , R , and SQL , while also working with cloud platforms like GCP , Azure , and AWS . Additionally, you will delve into advanced machine learning techniques, including Random Forest , XGBoost , and Neural Networks . This role will not only sharpen your technical abilities but also equip you with essential soft skills such as problem-solving and communication skills , all within an Agile workflow . NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting, ensuring you have the most accurate information to apply online and take the next step in your career. Job Role & Responsibilities As a Data Scientist at Artefact , you will play a crucial role in transforming raw data into actionable insights that drive strategic decisions. Your expertise will not only enhance Artefact's data capabilities but also significantly improve client outcomes through data-driven methodologies. Analyze complex datasets to extract actionable insights that inform business strategies and enhance client services. Utilize Python , R , and SQL to develop predictive models and algorithms, elevating Artefact's data analytics capabilities. Collaborate with cross-functional teams , including marketing and product development, to ensure data initiatives align with business objectives. Measure and report on the effectiveness of data-driven strategies, ensuring they meet key performance indicators and client expectations. Take ownership of projects, driving innovation and continuous improvement in data methodologies and practices. Document findings and methodologies clearly, preparing reports and presentations for stakeholders to facilitate informed decision-making. Identify and solve data-related challenges, employing advanced techniques like Random Forest and Neural Networks to innovate solutions. Participate in knowledge-sharing sessions to foster a culture of learning and growth within the data science team. At Artefact , we cultivate an ownership culture where each Data Scientist is empowered to drive significant impact through their work, contributing to the overall success of our data initiatives. Required Skills & Technical Competencies We are seeking a candidate with a robust skill profile that combines technical expertise with analytical thinking. Your proficiency in data science tools and methodologies will be pivotal in enhancing Artefact's data-driven strategies. Technical Skills Python (Advanced) — essential for data manipulation and model building, forming the backbone of our data analysis processes. R (Intermediate) — crucial for statistical analysis and visualization, enabling effective communication of insights. SQL (Advanced) — required for managing and querying large datasets efficiently, a daily necessity in this role. GCP/Azure/AWS (Familiarity) — important for deploying models and managing data workflows in cloud environments. GA4 (Basic) — understanding of Google Analytics 4 for measuring and analyzing web traffic data. AdTech (Familiarity) — knowledge of advertising technology to enhance data-driven marketing strategies. Random Forest (Intermediate) — used for building robust predictive models that improve decision-making processes. XGBoost (Intermediate) — applied for optimizing model performance in predictive analytics. Soft Skills & Professional Competencies Analytical thinking — ability to interpret complex data sets and derive meaningful conclusions. Problem-solving — adept at identifying data-related challenges and formulating innovative solutions. Communication skills — essential for conveying complex concepts to non-technical stakeholders. Time management — ability to prioritize tasks effectively in a fast-paced environment. Good to Have (Bonus) Machine Learning frameworks — familiarity with frameworks such as TensorFlow or PyTorch is a plus. Data Visualization tools — experience with tools like Tableau or Power BI for presenting data insights. Version Control (Git) — understanding of version control systems to manage code effectively. To showcase these skills in your resume or during interviews, focus on specific projects or experiences that highlight your proficiency in the required tools and methodologies relevant to the Data Scientist role at Artefact . Eligibility Criteria This role is designed for recent graduates and early-career professionals who are eager to embark on a journey in data science. We welcome applications from candidates who meet the following criteria. Candidates must hold a degree in any field , with a preference for those with a background in mathematics, statistics, or computer science. Eligible batches include 2023, 2024, 2025, and 2026 graduates, targeting recent entrants into the workforce. A minimum CGPA of 7.0 is preferred, reflecting a solid academic foundation in relevant subjects. Prior internship or hands-on project experience is a strong advantage, showcasing practical skills. Strong analytical and problem-solving skills are essential for success in this role. Ability to communicate effectively with both technical and non-technical stakeholders is highly valued. Documentation & Portfolio Requirements Prepare a resume that highlights your academic achievements, relevant projects, and any certifications in data science. A GitHub portfolio showcasing your coding skills and project work will significantly enhance your application. Pro Tip: Tailor your application to emphasize your experience with Python , SQL , and any relevant projects that demonstrate your data science capabilities to improve your success rate. Salary & Benefits 💰 Compensation Not Disclosed The compensation philosophy at Artefact emphasizes providing a competitive salary that aligns with industry standards for the role of Data Scientist . Although specific salary details are not disclosed, Artefact is renowned for offering comprehensive benefits that support employee well-being and professional growth. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Retirement Benefits — contributions to a provident fund to secure your future Performance Bonuses — annual bonuses based on individual and company performance Flexible Work Hours — options for hybrid work to promote work-life balance Learning & Development Programs — access to training and mentorship opportunities Additional Perks & Benefits Annual Learning Budget — up to ₹25,000 per year for certifications, courses, and conferences Meal Allowances — daily meal stipends to support your nutrition Transportation Support — assistance with commuting costs Stock Options — potential equity in the company as part of your compensation Wellness Programs — initiatives aimed at promoting mental and physical health Career Progression & Salary Growth At Artefact , career growth is prioritized with clear promotion timelines and an internal promotion policy . Employees can expect annual performance appraisals that typically lead to salary increases of 10-15% based on performance metrics. The company encourages rapid career advancement through various internal mobility options. NexisGrow.com tip: When negotiating your salary, emphasize your unique skills and experiences that align with the role of Data Scientist to leverage a better offer. Selection Process The hiring philosophy at Artefact focuses on identifying candidates who not only possess the necessary technical skills for the role of Data Scientist but also align with the company’s culture and values. The selection process is designed to ensure a thorough evaluation of each candidate's capabilities. 1 Round 1: Application Screening — Initial review of resumes to shortlist candidates based on skills and experience. 2 Round 2: Technical Interview — In-depth discussion focusing on data science concepts and practical applications. 3 Round 3: Behavioral Interview — Assessment of cultural fit, teamwork, and communication skills . 4 Final Stage: Offer Presentation — Presentation of the job offer and background checks to confirm qualifications. What Each Round Tests Round 1 evaluates your resume and relevant experience. Round 2 tests your technical knowledge in data science, including problem-solving abilities. Round 3 focuses on your communication skills and how well you fit within the Artefact team culture. Timeline & Expectations The entire selection process typically spans 2-4 weeks from application submission to final offer. Candidates can expect timely communication from Artefact regarding their application status at each stage. Interview Prep Tip: Familiarize yourself with real-world data science problems and be prepared to discuss your previous projects in detail. How to Apply for Data Scientist at Artefact Apply Now — Artefact Step 1: Click the Apply button or visit the official career link at Artefact 's job board. Step 2: Fill in your profile/resume, highlighting relevant projects and experiences that align with the job requirements. Step 3: Expect an application confirmation email, followed by a screening process that may include initial assessments. Step 4: Prepare for interviews by reviewing data science concepts and your past experiences. Step 5: Track your application status through the job portal for updates. Resume & Profile Tips for This Role Highlight your hands-on experience with Python and machine learning projects. Emphasize your problem-solving skills and ability to work in cross-functional teams . Include any relevant certifications or courses related to data science . Showcase your proficiency with tools like Git and AWS . Note: Applications are reviewed on a rolling basis, so early submission is encouraged to increase your chances. Apply Now — Official Link NexisGrow.com does not charge any fees for job applications. Frequently Asked Questions Interview · Role · Salary · Growth ? What are the eligibility criteria for the Data Scientist role at Artefact? Eligibility Tap to expand + Answer Candidates must have a degree in any field, with a preference for mathematics or computer science backgrounds. Eligible batches include 2023-2026, welcoming both freshers and those with 2-5 years of experience. ? What is the interview process for Data Scientist at Artefact? Interview Tap to expand + Answer The interview process includes an initial screening, a technical interview focusing on data science skills, and a behavioral interview to assess cultural fit. ? What technologies and tools will I work with? Tech Stack Tap to expand + Answer You will primarily work with Python, R, SQL, and cloud platforms like GCP, Azure, or AWS, applying these tools to build predictive models and analyze data. ? What is the salary and compensation for this role? Salary Tap to expand + Answer Salary details are not disclosed, but Artefact offers competitive compensation packages and performance bonuses, reflecting industry standards. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer The role is primarily onsite in Pune, with potential hybrid options depending on project requirements and company policies. ? What is the career growth path after joining Artefact as a Data Scientist? Growth Tap to expand + Answer Career growth includes clear promotion timelines, opportunities for internal mobility, and access to training programs to enhance skills over 6-12 months. ? How should I prepare for the Data Scientist interview at Artefact? Preparation Tap to expand + Answer Prepare by reviewing data science concepts, practicing problem-solving with real datasets, and familiarizing yourself with the technologies mentioned in the job description. ? How do I apply and what documents are needed? Application Tap to expand + Answer To apply, visit the official career link, submit your resume highlighting relevant experiences, and include any portfolios or projects that showcase your skills. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Yes, there is typically a probation period of 3-6 months, during which performance is evaluated to ensure a good fit for the role. ? What is the work culture like at Artefact? Culture Tap to expand + Answer Artefact promotes a collaborative and inclusive work culture, emphasizing continuous learning, teamwork, and a supportive environment for all employees. 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