Data Scientist

Job Description Purpose of the role To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation. Accountabilities - Identification, collection, extraction of data from various sources, including internal and external sources. - Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis. - Development and maintenance of efficient data pipelines for automated data acquisition and processing. - Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. - Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities. - Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science. Analyst Expectations - To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. - Requires in-depth technical knowledge and experience in their assigned area of expertise - Thorough understanding of the underlying principles and concepts within the area of expertise - They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. - If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. - OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. - Will have an impact on the work of related teams within the area. - Partner with other functions and business areas. - Takes responsibility for end results of a team’s operational processing and activities. - Escalate breaches of policies / procedure appropriately. - Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. - Advise and influence decision making within own area of expertise. - Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. - Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. - Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. - Make evaluative judgements based on the analysis of factual information, paying attention to detail. - Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. - Guide and persuade team members and communicate complex / sensitive information. - Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Join us as a "Data Scientist" at Barclays, where you'll build analytical tools to generate insight, recognise patterns and predict behaviour, and deliver content direct to users of information products. You will work with technical teams, architects, designers, and administrators to overcome technical challenges and to make it happen. You will need to take ownership of key initiatives to deliver results through an agile workflow. Will have to design, test and build complex forecast models and simulations to identify causal links between customer behaviour and business opportunities and performance. You may be assessed on the key critical skills relevant for success in role, such as experience with Data Scientist, as well as job-specific skillsets. To be successful as a "Data Scientist", you should have experience with: Embark on a transformative journey as a Data Scientist at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. Seeking a talented Data Scientist to join our Data Science where you'll spearhead the evolution of our digital landscape, driving innovation dedicated to driving commercial value from data across the Corporate Bank. In this role, you will have the opportunity to shape and lead projects with other members of the team - leveraging machine learning techniques and AI to extract valuable insights and create tangible business impact. We embrace a design-led thinking approach that emphasizes close collaboration with business stakeholders and a fail-fast mindset. This position offers the chance to work with extensive datasets that span billions of rows, applying state-of-the-art AI techniques to unlock millions in business value. Key Responsibilities: - Build relationships with senior stakeholders across the bank to seek out opportunities to add value through Data Science and GenAI. - Develop machine learning models and apply AI to deliver commercial value for the Corporate Bank. - Leverage AWS services for data transformation, feature engineering, AI product development and deployment. - Communicate complex technical ideas to stakeholders via data visualization - Work closely with our equivalent ML Ops team in technology to streamline the path to production for successful projects. Essential Skills and Qualifications: - Bachelor or masters degree in data science (or similar) or equivalent commercial experience - Experience with working with senior stakeholders across the data science life cycle from inception of an idea to the delivery within a production environment - Ability to translate technical work into business terms and communicate value to business stakeholders. - Commercial experience in applying machine learning techniques to generate business value (e.g.  clustering, classification, regression, NLP techniques) - Ability to write close to production standard code with strong understanding of key coding principals e.g. separation of concerns, generalization of code. Strong experience in Python and SQL is a must. - Familiarity with AWS data science and AI services, including SageMaker and Bedrock - Understanding of GenAI, LLMs and the RAG framework - Proficiency in data visualization software, ideally Tableau, with exposure to QlikView, Power BI, or similar tools - Knowledge of code management methodologies and ability to implement these on projects. Desirable skills/Preferred Qualifications: - Experience in front end development frameworks such as Angular/React Flask/Streamlit - MVC Architecture - Experience of Agentic AI - Experience of working in a big data environment using PySpark You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. This role will be based out of Gurugram.