Data Scientist, Python

Reposted Yesterday
Be an Early Applicant
2 Locations
In-Office
Senior level
Fintech • Payments • Financial Services
The Role
As a Data Scientist, you will implement data science tools to drive customer solutions, support strategic direction through data use, and promote data literacy while developing machine learning models and software products.
Summary Generated by Built In

Join us as a Data Scientist, Python

  • You’ll design and implement data science tools and methods which harness our data in order to drive market leading purposeful customer solutions
  • We’ll look to you to actively participate in the data community to identify and deliver opportunities to support the bank’s strategic direction through better use of data
  • This is an opportunity to promote data literacy education with business stakeholders supporting them to foster a data driven culture and to make a real impact with your work 
  • We're offering this role at associate level
What you'll do

As a Data Scientist, you’ll bring together statistical, mathematical, machine-learning and software engineering skills to consider multiple solutions, techniques and algorithms to develop and implement ethically sound models end-to-end. We’ll look to you to understand the needs of business stakeholders, form hypotheses and identify suitable data and analytics solutions to meet those needs in order to support the achievement of our business strategy.

You’ll also be:

  • Using data translation skills to work closely with business stakeholders to define detailed business questions, problems or opportunities which can be supported through analytics
  • Applying a software engineering and product development lens to business problems, creating, scaling and deploying software driven products and services
  • Working in an Agile way within multi-disciplinary data and analytics teams to achieve agreed project and scrum outcomes
  • Selecting, building, training and testing machine learning models considering model valuation, model risk, governance and ethics, making sure that models are ready to implement and scale
  • Iteratively building and prototyping data analysis pipelines to provide insights that will ultimately lead to production deployment
The skills you'll need

You’ll need a strong academic background in a STEM discipline such as Mathematics, Physics, Engineering or Computer Science. You’ll have experience with statistical modelling and machine learning techniques.

You'll need at least five years of experience in Python, NLP and SQL. You'll also need experience in machine and deep learning and experience in at least one of the algorithms like Logistic Regression or KNN or Random Forest.

You’ll also demonstrate:

  • The ability to use data to solve business problems from hypotheses through to resolution
  • Experience using programming language and software engineering fundamentals
  • Experience of Cloud applications and options
  • Experience in synthesising, translating and visualising data and insights for key stakeholders
  • Experience of exploratory data analysis
  • Good communication skills with the ability to proactively engage with a wide range of stakeholders

Hours

45

Job Posting Closing Date:

03/12/2025

Top Skills

Cloud Applications
Deep Learning
Machine Learning
Nlp
Python
SQL
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The Company
HQ: Bengaluru, Karnataka
40,000 Employees
Year Founded: 1970

What We Do

We’re a business that understands when our customers and people succeed, our communities succeed, and our economy thrives. As part of our purpose, we’re looking at how we can drive change for our communities in enterprise, learning and climate.

As one of the leading supporters of UK business, we’re prioritising enterprise as a force of change. We’re focusing on the people and communities who have traditionally faced the highest barriers to entry and figuring out ways to remove these.

Learning is also key to our continued growth as a company in an ever changing and increasingly digital world. By setting a dynamic and leading learning culture, our people prosper, and our customers are given the tools to continue to improve their financial capability and confidence.

One of the biggest challenges we all face in our future is climate change. That’s why we’ve put it right at the core of our purpose. We want to champion climate solutions with financing and entrepreneurial support, fully embed climate into our culture and decision making, and be climate positive by 2025.

We’re committed to using our purpose to break down barriers, drive change and ultimately create a great place to work.

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