You are opening our English language website. You can keep reading or switch to other languages.

Senior Data Scientist with AWS, Mortgage Pricing Platform

  • Bengaluru
Big team (20+ people)

If you received this vacancy from our recruiters — read our Privacy Notice.

Project overview

The project focuses on enhancing pricing and performance metrics for mortgage products as part of a broader balance sheet management programme. The team is building a scalable pricing optimisation process on AWS that supports data driven decision making across the business.

Team

You will work within a cross functional delivery team that includes Data Scientists, Data Engineers, Data Analysts, Pricing Managers, and business stakeholders. Collaboration is central to the role, with close interaction between technical specialists and pricing and finance teams to deliver end to end solutions.

Position overview

We are looking for a Senior Data Scientist to contribute to a large scale balance sheet and pricing optimisation initiative within a global financial services environment. You will focus on developing production ready financial models that support mortgage pricing innovation, working with UK mortgage time series data in a cloud native setup.

Technology stack

Python, PySpark, SQL, AWS SageMaker Studio, AWS Glue, Amazon S3, Amazon Athena, Snowflake, GitLab, Amazon QuickSight, React, JavaScript

Responsibilities

  • Develop and implement financial and statistical models using UK mortgage time series data
  • Contribute to pricing optimisation solutions deployed within the AWS ecosystem
  • Collaborate with data engineering and analytics colleagues to design scalable and maintainable data pipelines
  • Perform feature engineering, model training, and validation using large datasets
  • Translate complex financial and pricing data into clear insights for business stakeholders
  • Support production readiness through version control, testing, and documentation in a corporate environment

Requirements

  • Hands on experience delivering data science solutions on AWS in a production environment
  • Practical experience with segmentation, classification, and time series machine learning models focused on pricing and analytics rather than AI or large language model use cases
  • Strong programming skills in Python, PySpark, and SQL for data processing and model development
  • Experience using AWS services such as SageMaker Studio and AWS Glue
  • Ability to read, integrate, and transform data from multiple data lakes and data warehouses including S3, Athena, and Snowflake
  • Experience with code management and collaboration using GitLab in an enterprise setting
  • Business exposure to mortgage or related financial products with the ability to turn analytical results into actionable insights

Nice to have

  • Experience building dashboards or visual analytics using Amazon QuickSight
  • Front end exposure with React or JavaScript for lightweight data presentation

Looking for Similar Opportunities?

Try AI chatbots with our ready-made prompt to discover similar roles that match your skills and interests.
Image

We offer

Image

Vacation

As per the laws of your country. We do ask you to take a proper rest

Image

Health insurance

We help you to take out an insurance policy for you and your loved ones

Image

Sick pay

10 days without a doctor's note, afterwards - as per the laws of your country

Image

Time off for state holidays

According to the official calendar, regardless of the client’s schedule

Image

Pleasant environment

Two large corporate parties and many small get-togethers for colleagues

Image

Comfort service

Solving technical and everyday problems at work

The benefits package may vary depending on the region and the type of contract
Most wanted
1 of 1

FAQ for Candidates

Work on global projects, grow your career in a supportive, flexible, and innovative tech environment. We help cover the cost of IT certifications and provide access to top-tier courses and learning platforms. View current openings and take the next step with us.

DataArt is a global software engineering company that helps businesses build powerful data, analytics, and AI solutions. We work with clients across a range of industries — including Finance, Healthcare & Life Sciences, Consumer Goods & Retail, Travel, Media & Entertainment, Mobility, and Manufacturing.

Learn more about what we do here.

DataArt supports flexible work formats to help you find the balance that works best for you. You can choose to work from the office, go hybrid, or stay fully remote—each option comes with equal opportunities for growth. We’ll help set you up with secure access and the equipment you need. With 46 remote and onsite official locations, you can join us from almost anywhere in the world.

Learn more about how we work here.

At DataArt, we put people first—fostering a culture built on trust, flexibility, and professional growth. We believe in open communication, mutual respect, and the freedom to choose how and where you work. Diversity, equity, and inclusion are core to our values, and we actively support a workplace where everyone can thrive. From mental health support to global sustainability efforts, we aim to create a healthy, empowering environment for all.

Read more about our culture and values.

There's no one-size-fits-all career path at DataArt—your growth is yours to shape. Whether you want to deepen your technical skills, move into management or sales, or even switch professions entirely, you'll have the support to do it. With exam fees fully covered, you can also earn professional certifications, like AWS, Azure, or Google Cloud. With tools like the Professional Development Map, the Talent Lab, and access to expert mentoring, we help you build your desired career.

Learn how we support both newcomers starting their careers and experienced professionals looking to grow further.

DataArt offers competitive compensation along with a range of thoughtful benefits that support your well-being, growth, and daily comfort. You’ll get flexible vacation and sick leave, mental health programs, and access to a corporate laptop or BYOD option. We also offer bonuses for referrals, parental leave, and smooth exit and return-to-work options.

Read more about how things work at DataArt.

At DataArt, we focus on creating an environment where people want to stay and grow. With 95% of employees recommending us to a friend on Glassdoor and a 100% CEO approval rating, we’re proud of the trust we’ve built. From mentoring programs and professional development services to support and conflict resolution programs, we invest in our colleagues' growth and wellbeing—because when people feel valued, they stick around.

Learn more about our company >here.

Our interview process is designed to be thorough, transparent, and supportive. It starts with a CV review, followed by an HR interview to discuss your background and goals. You'll then go through communication and technical assessments, where we evaluate your English skills and knowledge of relevant technologies. If all goes well, you’ll meet someone from the project team to learn more about the work, and we’ll guide you every step of the way—including helping you prep for any client interviews.

Read more and get tips for each stage here.

DataArt looks for candidates with strong technical skills, analytical thinking, and a commitment to continuous learning. We value experience in relevant technologies and industries, adaptability, and excellent communication skills. If you’re a junior or just starting out, don’t worry—our mentorship programs and training will support your growth from day one. The most important thing is your willingness to learn and develop professionally in our collaborative, people-first environment.

Read more about development in DataArt.

At DataArt, continuous learning is part of our culture. You’ll have access to expert mentors, leadership guidance, and thousands of courses from top platforms like Udemy and LinkedIn Learning. You can shape your own path—whether it’s growing within your role or switching to a new one.

Explore how we support your growth.