cover image
NatWest Group

Data Analyst

Hybrid

London, United Kingdom

Full Time

12-03-2025

Job Specifications

Our people work differently depending on their jobs and needs. From hybrid working to flexible hours, we have plenty of options that help our people to thrive.

This role is based in the United Kingdom and as such all normal working days must be carried out in the United Kingdom.

Job Description

Join us as a Data Analyst

Take on a challenge in the RBS International Data Management team, in which you’ll contribute to the analysis of RBS International business outcomes and key data elements (KDEs) to identify data quality issues, as well as business issues related to people, platform and processes
We’ll look to you to manage RBS International's business outcomes, provide high quality analytical input to help develop and implement innovative data profiling solutions, processes and resolve problems across the bank
This is a hands on role in which you'll hone your statistical and analytical data analysis expertise and gain valuable experience in a dynamic area of our business


What you'll do

As a Data Analyst, you'll play a key role in supporting the delivery of high quality business solutions. You’ll be performing data extraction, manipulation, processing and analysis, using the RBS International Amazon Web Services (AWS) Cloud based data quality detection engine and bank data profiling solutions, alongside developing and performing standard queries to ensure data quality and identify data inconsistencies and missing data.

Day-to-day, you’ll also be:

Managing RBS International's business outcomes
Collecting, profiling and mapping appropriate data to use in our AWS Cloud based data profiling solution as well as for ongoing data activities
Maintaining and developing the RBS International AWS DQ Detection Engine Business Rules and Rules Repository used for data profiling
Helping to develop Tableau dashboards to present statistical and analytical data quality results to Executive Data Owners (EDOs)
Working with other RBS International business areas in the identifying and documenting of data migration paths and processes, standardising KDE naming, data definitions, modelling and attending the NatWest Glossary Working Group
Helping to interpret customer needs and identifying operational risk issues, turning them into functional or data requirements and process models
Building and maintaining collaborative partnerships with key business stakeholders, including data domain leads, EDOs and EDO delegates


The skills you'll need

We’re looking for someone with experience of using data analysis tools and delivering data insights within a technology, data management, or data analytics function.

Detailed knowledge and evidence of application of, AWS, Structured Language Query (SQL), and JavaScript Object Notation (JSON) is an absolute requirement for this role.

We’ll also look for:

An in-depth understanding of the interrelationships of data and multiple data domains
A background in delivering research based on qualitative and quantitative data across a range of subjects
Excellent communication and influencing skills

About the Company

Our ambition is simple: to succeed with our customers. Because when they succeed, so do we. Whether it’s buying a home, investing for tomorrow, growing a business, or helping our customers to build a more sustainable future, we can succeed with customers by understanding their world and what matters to them: their priorities, aspirations, and the challenges they face. We want to help them to navigate change and make progress towards their goals with the right services and expertise. At the same time, we are becoming a sim... Know more

Related Jobs

Company background Company brand
Company Name
Quant Capital
Job Title
PowerBI Developer
Job Description
PowerBI Developer £60,000 Plus 10% Bonus 1 Day a week in West London Office Quant Capital is urgently looking for a PowerBI Developer to join our high profile client .My Client is a well known global (yet not too corporate) financial software (fintech) business that has developed a unique proprietary front office lending solution. This role is with an exciting business in the consumer lending space. They have grown significantly over the past few years and are looking to add a motivated and experienced individual to join their growing data team. This role offers the chance to work end-to-end across a range of credit models in the business and take on a challenging role which will give you excellent exposure and experience in the credit modelling space As a Report Writer, you will play a crucial role in analysing, reviewing, and presenting data to highlight trends, identify insights, and support business decision-making. Your primary duties will include producing and enhancing data models, reports, and dashboards, handling large data sets, and engaging with stakeholders to understand their data and reporting requirements. You will use tools like Power BI, Excel, and SQL to perform data analysis, identify trends, and develop opportunities for more effective data usage within the business. The PowerBI Developer should have: StrongSQL Strong Power BI Some understanding of data warehousing Ideally some interest in AI Experience as a Data Analyst The environment is that of Facebook or Google, relaxed open with time to think and make the right decisions. The atmosphere is calm and relaxed with an open dress code. This is a role for techies, those who are motivated by the sharp end of technology and the possibility of making serious money doing something you are passionate about The Culture of the firm is startup esc with a flat team structure and a great group of guys who all enjoy themselves. My client is based in West London 1 day per week in the office
London, United Kingdom
Hybrid
Full Time
12-03-2025
Company background Company brand
Company Name
Enterprise Recruitment Ltd
Job Title
Junior Data Scientist / Software Engineer
Job Description
Data Scientist / Software Engineer – Data-Driven Innovation in Infrastructure A pioneering technology company is looking for a Data Scientist / Software Engineer to develop advanced analytical solutions for real-world engineering challenges. This role is perfect for someone passionate about using programming, data science, and cutting-edge algorithms to improve infrastructure monitoring and decision-making. The Role: This position involves designing and implementing data processing techniques for complex datasets, integrating various sources of remote sensing information. The successful candidate will play a key role in developing computational tools that extract meaningful insights, ultimately supporting critical projects in the transport and construction sectors. Key Responsibilities: Develop algorithms to process and analyze complex geospatial and sensor data. Work with large-scale datasets to drive insights and support machine learning applications. Improve internal software tools using Python and other relevant technologies. Collaborate with a team of scientists and engineers to solve industry-specific problems. Present research findings and contribute to ongoing technical discussions. Ideal Candidate: Strong programming skills, particularly in Python. Background in data science, mathematics, engineering, or a related field. Experience with signal, image processing & data science techniques. Interest in applying computational techniques to real-world infrastructure challenges. This is an exciting opportunity to join a team at the forefront of data-driven engineering solutions. If you thrive on solving complex problems and want to apply your expertise to meaningful, high-impact work, this could be the perfect next step in your career.
Oxford, United Kingdom
On site
Full Time
12-03-2025
Company background Company brand
Company Name
Microsoft
Job Title
Member of Technical Staff, AI - Post-Training
Job Description
Help us develop and train the cutting-edge models that are served in Copilot. At Microsoft AI, we are on a mission to develop the most cutting-edge algorithms for post-training large language models (LLMs) and ship those models to millions of users using Copilot every day. The AI Post-Training team at Microsoft AI is responsible for all aspects of post-training the models that we serve in Copilot, including: data collection, building evaluations that are aligned with our product and model capability goals, prototyping new capabilities to make Copilot more powerful, developing new finetuning algorithms to supercharge our models, working with platform and engineering teams to deploy those models, and closing the loop by improving the models with feedback we receive from our users. We work on the bleeding edge and leverage the most powerful pretrained models and algorithms for our needs. We are an interdisciplinary team of engineers and scientists, learning from each other and collaborating to create the best models and products. We are looking for outstanding individuals excited about contributing to the next generation of models that will transform the field. We are looking for candidates who: Are passionate about shipping models into products that users will love Will thrive in a highly collaborative, fast-paced environment Have a high degree of craftsmanship and pay close attention to details Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies Are willing to meaningfully contribute as individuals with multiple responsibilities and can adjust to shifting priorities Responsibilities Develop data collection, evaluation, and finetuning methods for models. Design hypotheses and experiment plans for rapidly iterating on model performance. Prototype new model features and capabilities and collaborate with engineers and researchers across Microsoft AI to make them a reality. Collaborate with pretraining and product platform teams to establish good vertical integration and ship models that Copilot users love. Embody our culture and values. Qualifications Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modeling or data engineering work OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, or data engineering work OR equivalent experience. #Copilot #MicrosoftAI Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
London, United Kingdom
On site
Full Time
12-03-2025
Company background Company brand
Company Name
Sense Street
Job Title
Data Product Engineer
Job Description
At Sense Street, we are developing natural language understanding systems for capital markets. Our premise is simple: markets are conversations, and we aim to help investment banks and asset managers have better, more efficient conversations. Through our partnerships with global banks, we have access to datasets that have not been made available in the past. This allows us to create language models uniquely suited to capital markets while advancing the state-of-the-art. We are a venture backed company founded by professionals with experience spanning machine learning, trading, and quantitative research. This is a new and evolving role, ideal for a data or software engineer who wants to work at the intersection of data engineering, ML infrastructure, and product integration. We don’t expect you to have experience with all of these—this role is a great opportunity for someone who wants to grow into and shape the intersection of AI, data, and product development. You’ll collaborate closely with ML engineers, data scientists, and product/UX designers to bring AI models into production, develop robust data infrastructure, and contribute to how data is accessed and used—whether through APIs, internal tools, or analytics interfaces. If you enjoy building scalable data solutions while thinking about how they fit into the bigger picture, this role offers an exciting challenge. The Role Build and maintain scalable data pipelines to support AI/ML workloads. Develop APIs and backend services that integrate AI models into production systems. Work with ML engineers to deploy and optimize AI models in real-world applications. Contribute to architecture decisions that shape our AI/ML infrastructure. Think about how data is accessed and used, including internal tools, dashboards, and analytics interfaces. Implement monitoring, observability, and data reliability best practices. Requirements Strong software or data engineering background (Python, SQL, cloud platforms). Experience with data pipelines, backend systems, and APIs (ETL/ELT, microservices). Familiarity with distributed systems, cloud environments (AWS/GCP/Azure), and CI/CD. Interest in working closely with ML engineers and AI-powered systems. Willingness to think about data accessibility and usability, not just infrastructure. Excited to grow into the role and help define it as it evolves. Nice to Have Experience working with ML models and their deployment. Familiarity with ML infrastructure, feature stores, and MLOps best practices. Exposure to deep learning frameworks (PyTorch, TensorFlow). Experience with building internal tools, dashboards, or lightweight front-end components (e.g., Streamlit, Dash, or BI tools like Looker, Tableau) or JavaScript frameworks (React, etc) The Work Environment Flexible working, central London location Highly skilled team, flat hierarchy, and opportunities for mentorship Ability to heavily influence platform and culture in a scaling company Budget/time for books, training and attending conferences/hackathons Opportunity to work with cutting-edge AI technologies and unique datasets Regular knowledge sharing sessions and internal tech talks Company Benefits Flexi Working Pension Laptop Hybrid working - home/office Share Options Scheme Private Healthcare Interview Process Decision to proceed will be made at each step: Short intro call - 30 minutes Technical interview & paring exercise - 2hrs max, remote Data science team meet Final meeting with the CEO
London, United Kingdom
Hybrid
Full Time
11-03-2025