We only hire from Top Tier Universities including IITs, BITS, DCE/NSIT, ISI, Top NITs etc. This role is only suitable for candidates with between 1 to 4 years experience. People with more than 4 years of experience need not apply. This is an URGENT requirement. We are hiring for a UK based Fintech company (name is kept confidential). The company is seeking an early stage Data Scientist to join the team and support the design, development, and Machine Learning and AI use-cases. Your work will directly support strategic initiatives and improve business outcomes. Job Summary : We are seeking a motivated Data Scientist to join our Data and AI team. The ideal candidate will assist in analysing complex datasets, building predictive models, and contributing to data-driven decision-making. This entry-level role is perfect for someone eager to apply their technical skills and grow in a collaborative, innovative environment. Key Responsibilities : Collect, clean, and preprocess structured and unstructured data from various sources Perform exploratory data analysis (EDA) to identify trends, patterns, and insights Develop, test, and deploy basic machine learning models under senior team guidance Create visualisations and dashboards to communicate findings to stakeholders Collaborate with cross-functional teams (e.g., product, engineering) to support business objectives Assist in maintaining data pipelines and ensuring data quality Stay updated on industry trends and emerging tools in data science Qualifications : Bachelors degree in data science, Computer Science, Statistics, Mathematics, or a related field 1-3 years of experience in data science or a related role (internships or academic projects count) Proficiency in Python for data analysis (e.g., pandas, NumPy, scikit-learn) Strong analytical and problem-solving skills Excellent communication skills to explain technical concepts to non-technical audiences. Understanding of machine learning algorithms (e.g., regression, classification, clustering). Nice to Have: Internship or project experience in data science or analytics Exposure to Gen AI architectures (RAG, MCP etc.) Experience working with cloud platforms (e.g., AWS, GCP, Azure) Experience with SQL for data querying Knowledge of version control (e.g., Git)

This is an URGENT requirement. We are hiring for a UK based Fintech company (name is kept confidential). The company is seeking a talented Senior Analytics Engineer to join the team and help build analytics pipelines working closely with the senior stakeholders. As an Analytics Engineer specializing in the payments space, youll be at the forefront of analysing payment transaction data, uncovering trends, and optimising card issuance operations. Your work will directly shape strategic initiatives and improve business outcomes. Please note that advanced experience in Data Build Tool (DBT) is a MUST for this role. You should NOT apply for this role if you don't have experience with DBT . Key Responsibilities Analyze large datasets related to payment processing and customer transactions to uncover trends and actionable insights. Develop dashboards and reports to track KPIs and support decision-making. Work with stakeholders to understand data needs and provide insights through presentations and reports. Deliver data-driven recommendations to support business objectives. Build and optimize data pipelines using dbt, ensuring clean and accessible data. Monitor data quality and implement validation processes in collaboration with data engineers. Create scalable data models in Snowflake using dbt and identify opportunities for efficiency gains. Optimize workflows and monitor system performance for continuous improvements. Ensure data practices meet regulatory standards and assist in compliance reporting. Stay updated on industry trends and contribute to process enhancements. Qualifications Bachelors degree in Data Science, Computer Science, Information Systems, Finance, or a related field. Proven experience as a Data Analyst/Analytics Engineer role, preferably in the payments industry with issuer processors. Proven experience in SQL, DBT and Snowflake. Proficiency in building and managing data transformations with dbt, with experience in optimizing complex transformations and documentation. Hands-on experience with Snowflake as a primary data warehouse, including knowledge of performance optimization, data modeling, and query tuning. Strong proficiency in data analysis tools and languages (e.g., SQL, Python). Strong understanding of data modeling principles and experience applying modeling techniques. Proficiency with data visualization tools such as Tableau, Power BI, or similar. Knowledge of payment processing system, card issuance, and related services. Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud). Familiarity with modern data architecture such as data Lakehouse. Strong analytical, problem-solving, and communication skills. Attention to detail and a commitment to data quality and integrity. Familiarity with regulatory requirements and security standards in the financial industry

This is an URGENT requirement. We are hiring for a UK based Fintech company (name is kept confidential). The company is seeking a talented Lead Database Engineer to join the team and lead the design, development, and optimisation of database architectures, ensuring data integrity, performance, and scalability to support the organisations data-driven initiatives. Your work will directly shape strategic initiatives and improve business outcomes. You must have significant experience in Microsoft SQL Server in order to be considered for this role. Role overview Lead the design, development, and optimisation of database architectures, ensuring data integrity, performance, and scalability to support the organisations data-driven initiatives. Skills & experience needed Highly Proficient in SQL and other database languages Proven Experience in designing and architecting high-performance, scalable, and secure database systems to meet current and future business needs. Strong experience in leading the development of database strategies, including data modeling, schema design, and indexing. Deep experience in troubleshooting and resolving complex database issues in production environments. Proven experience in ensuring data integrity, availability, and disaster recovery through robust backup and replication strategies. Ability to optimise database performance through query tuning, partitioning, and resource allocation Proven experience as a Database Architect, Database Administrator, or similar role Proven experience in leading critical projects, with a track record of mentoring and developing others Deep Knowledge of data backup, recovery, security, and integrity Experience working with Amazon Web Services (AWS) and their ecosystem, using cloud native platforms, such as RDS, ECS, QLDB, DynamoDB, etc. Experience with data modelling tools (e.g., ERWin, Enterprise Architect) Strong understanding of database structure principles Soft Skills Strong leadership skills, with the ability to provide technical guidance and mentorship to junior engineers. Experience mentoring and coaching junior database engineers, fostering a culture of technical excellence and continuous learning. Excellent communication skills, both verbal and written, can effectively communicate technical concepts to technical and non-technical stakeholders. Demonstrated ability to collaborate effectively with cross-functional teams and stakeholders. Proven track record of successfully delivering complex projects on time and within budget. Strong problem-solving and analytical skills, with the ability to quickly diagnose and resolve technical issues. Self-motivated and proactive, with a passion for staying updated with the latest technologies and industry trends. Experience in driving technical vision for the database team, innovation, and continuous improvement in an organisation.