📋 Job Details at a Glance 📍 Location Pune, India 🏢 Company Barclays 👥 Experience 0-2 years 🎓 Qualification Any Graduate 📅 Eligible Batch 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹8L – ₹15L LPA (Estimated) 🏢 Industry Technology 🛠 Key Skills Python Scikit-learn TensorFlow PyTorch Jenkins GitHub Actions Docker AWS Data & AI Engineer at Barclays — Full Details & How to Apply Barclays is seeking a passionate Data & AI Engineer to join their innovative team in Pune, India . This role offers fresh graduates a chance to make a significant impact in the technology sector, especially in the rapidly evolving landscape of data-driven decision-making. As a part of Barclays recruitment , you will be at the forefront of developing AI solutions that enhance operational efficiency and customer satisfaction. The role of a Data & AI Engineer is pivotal in today's technology-driven world, where organizations increasingly rely on data analytics and artificial intelligence to gain competitive advantages. With the financial services industry undergoing a digital transformation, the demand for skilled professionals who can harness the power of data is skyrocketing. This is your opportunity to step into a field that not only promises growth but also allows you to contribute to innovative projects that shape the future of banking and finance. Barclays stands out as a leader in the financial services industry, offering a work environment that fosters innovation and creativity. With a commitment to leveraging data for enhanced decision-making, Barclays provides robust training programs and exposure to cutting-edge technologies such as Python , TensorFlow , and AWS . The company’s focus on employee development ensures that you will be equipped with the skills necessary to excel in your career as a Data & AI Engineer . This role is ideal for both freshers and candidates with up to 2 years of experience . If you are a B.Tech or MCA graduate from the 2023, 2024, 2025, or 2026 batches, you are encouraged to apply. The ideal candidate should possess a strong foundation in programming languages and frameworks, including Python and Scikit-learn , and be eager to learn and grow in a collaborative environment. As a Data & AI Engineer at Barclays , you will gain invaluable experience in cloud architecture , production-grade AI development , and Agile workflows . You will work on real-world projects that directly impact customer experience and operational efficiency, making your role not just a job, but a significant career milestone. Your contributions will help shape the future of financial services, providing you with a sense of purpose and accomplishment. 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 for this Data & AI Engineer role at Barclays . Job Role & Responsibilities The role of a Data & AI Engineer at Barclays is pivotal in driving the company's commitment to data-driven decision-making. This position involves leveraging advanced technologies to develop innovative solutions that address complex business challenges. Develop and implement machine learning models to solve intricate business problems, enhancing Barclays' data-driven decision-making capabilities. Utilize Python , TensorFlow , and Scikit-learn to build scalable AI solutions, ensuring high performance and reliability across various applications. Collaborate with cross-functional teams , including data scientists and software engineers, to seamlessly integrate AI solutions into existing systems. Analyze data sets to identify trends and insights, providing actionable recommendations to stakeholders based on key metrics. Take ownership of projects from conception to deployment, ensuring timely delivery and adherence to quality standards set by Barclays . Document processes and findings clearly, contributing to knowledge sharing and continuous improvement within the team. Innovate and troubleshoot existing models, applying problem-solving skills to enhance performance and accuracy. Participate in code reviews and contribute to best practices in software development to maintain high-quality standards. This role fosters an ownership culture, empowering you to make significant contributions that impact the overall success of Barclays and its commitment to innovation. Required Skills & Technical Competencies The ideal candidate for the Data & AI Engineer position at Barclays should possess a diverse skill set that combines technical expertise with strong analytical abilities. This profile is essential for developing cutting-edge AI solutions that drive business value. Technical Skills Python (Proficient) — essential for developing algorithms and performing data manipulation tasks efficiently. TensorFlow (Intermediate) — utilized for building and deploying robust AI models that meet business requirements. Scikit-learn (Intermediate) — important for implementing machine learning algorithms and data preprocessing techniques. PyTorch (Basic) — beneficial for experimenting with deep learning models and enhancing AI capabilities. Jenkins (Familiarity) — used for continuous integration and continuous deployment (CI/CD) processes to streamline project delivery. GitHub Actions (Basic) — helpful for automating workflows and ensuring efficient version control. Docker (Familiarity) — advantageous for containerizing applications and ensuring consistency across development and production environments. AWS (Basic) — knowledge of cloud services is a plus for deploying scalable applications. Soft Skills & Professional Competencies Analytical thinking — ability to dissect complex problems and derive actionable insights from data. Effective communication skills — crucial for articulating technical concepts to non-technical stakeholders. Team collaboration — essential for working effectively with diverse teams to achieve common goals. Time management — ability to prioritize tasks and meet deadlines in a fast-paced environment. Good to Have (Bonus) Machine Learning Certifications — any recognized certification will enhance your profile. Contributions on GitHub — showcasing relevant projects can significantly strengthen your application. Experience with Agile methodologies — familiarity with Agile practices can be advantageous. To effectively showcase these skills in your resume or during interviews, focus on specific projects or experiences that highlight your proficiency in Python , machine learning frameworks , and your ability to collaborate within cross-functional teams . Eligibility Criteria This role is designed for enthusiastic individuals who are eager to kickstart their careers in data and AI engineering. The Data & AI Engineer position at Barclays welcomes candidates from diverse educational backgrounds. Candidates must hold a B.Tech, B.E., MCA, or M.Tech degree in a relevant field. Eligible batches: 2024, 2025, and 2026 passouts are encouraged to apply. Minimum 60% aggregate or above in academics is preferred to ensure a solid academic foundation. This position is open to both freshers and candidates with up to 2 years of experience . Portfolio projects or contributions on platforms like GitHub showcasing relevant skills will strengthen applications. A minimum CGPA of 6.0 is preferred to ensure a solid academic foundation in relevant subjects. Documentation & Portfolio Requirements Prepare a well-structured resume highlighting your academic achievements, relevant projects, and any internships. Include links to your GitHub portfolio or any other platforms showcasing your work. Certifications in relevant technologies can also enhance your profile. Pro Tip: Tailor your resume to emphasize your hands-on experience with machine learning frameworks and any collaborative projects, as these are key aspects of the Data & AI Engineer role at Barclays . Salary & Benefits 💰 Compensation ₹8L – ₹15L LPA (Estimated) The salary for the Data & AI Engineer role at Barclays ranges from ₹8L – ₹15L LPA , reflecting the company's commitment to offering a competitive salary that attracts top talent in the technology sector. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Retirement Benefits — contributions to Provident Fund and Pension schemes Performance Bonuses — annual bonuses based on individual and company performance Flexible Work Arrangements — options for hybrid work to support work-life balance Paid Time Off — generous leave policies including vacation, sick leave, and public holidays Additional Perks & Benefits Annual Learning Budget — up to ₹25,000 per year for certifications, courses, and conferences Meal Allowances — daily meal vouchers to enhance employee satisfaction Transportation Support — assistance for commuting costs Stock Options — potential equity in the company for eligible employees Wellness Programs — initiatives focused on mental and physical health Career Progression & Salary Growth At Barclays , career progression is supported through structured promotion timelines, typically every 1-2 years , with annual performance reviews that can lead to salary increases of 10-20% . The company emphasizes internal mobility , allowing employees to explore various roles within the organization. NexisGrow.com tip: When negotiating your salary, emphasize your unique skills in data engineering and AI that align with Barclays' strategic goals. Selection Process The hiring philosophy at Barclays focuses on identifying candidates who not only possess the necessary technical skills but also align with the company’s values and culture. The selection process is designed to ensure a thorough assessment of both technical and interpersonal skills. 1 Round 1: Initial Screening — online application and resume review to assess fit for the role. 2 Round 2: Technical Interview — focused on programming skills and problem-solving abilities relevant to data engineering . 3 Round 3: Behavioral Interview — evaluates cultural fit and alignment with Barclays' values and mission. 4 Final Stage: Offer Presentation — includes a background check to confirm candidate credentials and suitability. What Each Round Tests Round 1 assesses your basic qualifications and experience through your resume. Round 2 dives deeper into your technical expertise, particularly in Python and data structures . Round 3 focuses on your communication skills and how well you fit within the team. Timeline & Expectations The entire process typically takes 4-6 weeks from application submission to final offer. Candidates can expect timely communication from Barclays regarding their application status and next steps. Interview Prep Tip: Familiarize yourself with Barclays' core values and be prepared to discuss how your experiences align with them. How to Apply for Data & AI Engineer at Barclays Apply Now — Barclays Step 1: Click the Apply button or visit the official career link to start your application. Step 2: Fill in your profile and resume, highlighting relevant projects and skills that align with the job description. Step 3: Expect a confirmation email outlining the next steps in the application screening process. Step 4: Prepare for the technical interview by practicing coding problems and reviewing data engineering concepts. Step 5: Track your application status through the Barclays career portal for updates. Resume & Profile Tips for This Role Highlight your experience with Python and data analysis projects. Showcase any relevant certifications in AI or data engineering . Include examples of problem-solving and team collaboration in your past roles. Emphasize your familiarity with cloud platforms like AWS . Note: Applications are reviewed on a rolling basis, so apply early 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 & AI Engineer role at Barclays? Eligibility Tap to expand + Answer Candidates must hold a degree in relevant fields and belong to the 2024, 2025, or 2026 batches, with no prior experience required. ? What is the interview process for Data & AI Engineer at Barclays? Interview Tap to expand + Answer The process includes an online screening, a technical interview assessing programming skills, and a behavioral interview focusing on cultural fit. ? What technologies and tools will I work with? Tech Stack Tap to expand + Answer You will primarily work with Python, TensorFlow, and Scikit-learn, along with tools like Docker and Jenkins for CI/CD. ? What is the salary and compensation for this role? Salary Tap to expand + Answer The salary ranges from ₹8L to ₹15L LPA, with opportunities for performance-based bonuses and growth. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer This role is primarily onsite in Pune, with potential flexibility for hybrid work arrangements. ? What is the career growth path after joining Barclays as a Data & AI Engineer? Growth Tap to expand + Answer Expect structured growth within 6-12 months, with opportunities for promotions and internal mobility in 2-3 years. ? How should I prepare for the Data & AI Engineer interview at Barclays? Preparation Tap to expand + Answer Focus on strengthening your programming skills, understanding machine learning concepts, and preparing for behavioral questions. ? How do I apply and what documents are needed? Application Tap to expand + Answer Apply through the official link, ensuring your resume highlights relevant skills, projects, and academic achievements. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Yes, there is a standard probation period of 6 months, focusing on performance evaluation and integration into the team. ? What is the work culture like at Barclays? Culture Tap to expand + Answer Barclays promotes a collaborative and inclusive culture, emphasizing continuous learning and team support. 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