AI/ML Data Scientist

Round 1: Online Assessment (aptitude, logical reasoning and basic programming) → Round 2: Technical Interview (ML concepts, Python coding, case studies) → Round 3: HR Interview (fitment, motivation and cultural alignment)

Barclays promotes a collaborative and inclusive work environment where employees are encouraged to share ideas and innovate. The firm offers structured career development programs, flexible working arrangements and a focus on work‑life balance, making it an attractive place for fresh talent to grow.

Barclays’ interview process typically starts with a timed online assessment focusing on quantitative aptitude and basic Python coding. Successful candidates move to a technical interview where they discuss machine‑learning concepts, walk through a coding exercise, and solve a case study related to finance. The final HR round evaluates cultural fit, communication skills and motivation. Preparation should include strong fundamentals, clear articulation of projects, and familiarity with financial use‑cases.

• Minimum qualification: B.Tech/B.E, B.Sc, M.Tech, M.Sc or equivalent in Computer Science, Data Science, Statistics, Mathematics, Electronics & Communication or related fields. • Minimum aggregate: 60% (or CGPA 6.0/10). • No active backlogs at the time of joining. • Batch year: 2024 or 2025 (freshers). • Strong foundation in programming, statistics and machine‑learning concepts. • Good communication skills in English.

Barclays is a leading global financial services group with a heritage spanning over three centuries. Headquartered in London, the bank operates in more than 40 countries and serves millions of customers worldwide. In India, Barclays has a strong presence in major financial hubs such as Gurugram, Mumbai and Bengaluru, offering a wide range of services from investment banking to wealth management. The firm is investing heavily in technology and innovation, positioning itself as a digital‑first organization that leverages data, artificial intelligence and machine‑learning to deliver smarter financial solutions. The AI/ML Data Scientist role is designed for fresh graduates who are passionate about turning raw data into actionable insights. As part of the Data & Analytics team, you will collaborate with product managers, engineers and business stakeholders to build predictive models, develop data pipelines and create visual dashboards that drive strategic decisions across the bank’s retail and corporate divisions. This is an excellent entry point for candidates eager to work on real‑world problems in a highly regulated, data‑rich environment. Key responsibilities include: 1. Collecting, cleaning and preprocessing large structured and unstructured datasets from internal and external sources. 2. Conducting exploratory data analysis to uncover patterns, trends and anomalies. 3. Designing, training and validating machine‑learning models for use‑cases such as credit risk scoring, fraud detection and customer segmentation. 4. Implementing feature engineering techniques to improve model performance and robustness. 5. Deploying models into production using cloud platforms and monitoring their performance over time. 6. Creating interactive visualizations and dashboards using tools like Tableau or PowerBI to communicate findings to non‑technical stakeholders. 7. Writing clear documentation and presenting results in concise business‑focused reports. 8. Staying up‑to‑date with the latest AI/ML research and recommending innovative solutions that align with Barclays’ digital strategy. 9. Collaborating with data engineers to ensure data pipelines are reliable, scalable and secure. 10. Participating in code reviews and adhering to best practices for reproducible research and model governance. The technical stack for this role typically includes Python (Pandas, NumPy, Scikit‑learn), SQL, cloud services (AWS/GCP), containerisation (Docker), and deep‑learning frameworks such as TensorFlow or PyTorch. Knowledge of statistical modelling, time‑series analysis and data‑visualisation libraries (Matplotlib, Seaborn) is also valuable. Barclays offers a clear growth path for data scientists: junior analysts progress to senior data scientists, then to lead data scientists or AI product managers, with opportunities to move across business lines or into global roles. The bank encourages continuous learning through internal training programmes, certifications and mentorship, ensuring that fresh talent can quickly acquire the expertise needed for advanced AI projects. Why join Barclays? You will be part of a globally recognised brand that values innovation, diversity and ethical banking. The company provides a collaborative culture, competitive compensation, and exposure to cutting‑edge financial technology. Freshers get the chance to work on high‑impact projects from day one, gaining experience that is highly valued across the fintech ecosystem.