Junior Data Scientist

Junior Data Scientist

Full-Time 28800 - 43200 £ / year (est.) No working from home possible
EastNets

At a Glance

  • Tasks: Solve real-world problems using data science and machine learning techniques.
  • Company: Join Eastnets, a leading fintech company transforming the financial services sector.
  • Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
  • Other info: Collaborative team culture with exciting projects and career advancement opportunities.
  • Why this job: Make an impact in fraud prevention while working with cutting-edge technologies.
  • Qualifications: STEM degree, programming skills, and a passion for data science.

The predicted salary is between 28800 - 43200 £ per year.

Eastnets is a leading player in the B2B fintech industry. We are a global provider of compliance and payments solutions for the financial services sector. Our experience and expertise help ensure trust at over 800 financial institutions across the world, including 11 of the top global banks. We secure institutions from financial crime by helping our partners manage risk through sanction screening, transaction monitoring, analytics, and reporting, along with market-leading consultancy and customer support.

The Junior Data Scientist is responsible for problem-solving across multiple domains; Fraud, Financial Crime & Compliance Risk business of Eastnets. This is an all-encompassing role that will involve:

  • Business requirements gathering and understanding
  • Ideas generation
  • Data engineering
  • Model development and visualization
  • Model deployment/dev ops
  • Model management
  • Stakeholder management
  • Model interpretation to relevant business owners

He/She will use technology and framework for development, using Python, and have a chance to shape solutions within a continuously evolving industry. The candidate will contribute to customer demos, and requests for proposals and interact with Product Owners and Sales support.

Key Responsibilities

  • Use machine learning, modeling, analytics and statistical and mathematical techniques to solve problems.
  • Extract data from multiple sources, exploratory data analysis, plots/charts, etc.
  • Propose solutions and strategies to business challenges.
  • Represent Eastnets at external events such as webinars, conferences.
  • Build strategic relationships with Product Owners, Sales and Customers.
  • Research new and emerging technologies, tools and techniques.
  • Curiosity in solving problems using a novel machine learning approach.
  • Educate other team members, Product Managers, Developers, and QA on data science techniques used to solve the problem at hand.
  • Responsible for managing multiple data science projects simultaneously.
  • Gather requirements from relevant stakeholders and manage expectations.
  • Coordinate with developers and QA on deploying developed models.
  • Maintain the security of the information, devices and systems that Eastnets and its personnel, customers and partners use.
  • Protect Eastnets business information and any customer, supplier or partner information within its custody by safeguarding its confidentiality, integrity and availability.
  • Adhere to and comply with Eastnets internal security policies, Code of Ethics, Non-Disclosure Policy, Non-Compete Policy, Email Policy, Proprietary Rights Acknowledgement, Background Check Policy, and all other internal policies and employee handbook.
  • Participate in the company’s wide initiatives.

Requirements

  • Graduate preferably in a STEM subject.
  • An MBA or equivalent post-graduate qualification is a plus.
  • Data science certifications would be a plus.
  • Strong experience in programming (Any mainstream data science programming language).
  • Familiarity with AI/ML concepts and their application in financial crime prevention is a strong plus.
  • Solid knowledge in data science methodology e.g. supervised learning, clustering, forecasting and time series analysis, text analytics and natural language processing, etc.
  • Solid knowledge in machine learning and statistical techniques: regression, neural networks, social network analysis, support vector machine, etc.
  • Proficiency in SQL.
  • Experience in delivering product solutions in Fraud, Financial Crime and Compliance is a plus.
  • Experience in Natural Language Processing, the financial sector, financial service providers, and the banking sector is a plus.
  • Experience in developing solutions using advanced technologies such as Artificial Intelligence in financial services and products.
  • Excellent analytical skills with the ability to integrate diverse and complex data problems.
  • Flexible attitude with proven experience of working in a small and agile team.
  • Must be a team player.
  • Strong relationship management skills with a proven ability to work across the business.
  • Excellent communication skills for different internal and external communication needs.
  • Knowledge in AI technologies and their application.

Apply for this role and join the Eastnets family. Fill out the form, send your CV to recruitment@eastnets.com and our recruitment team will be in touch if your skill set matches our needs.

Junior Data Scientist employer: EastNets

Eastnets is an exceptional employer that fosters a dynamic and innovative work culture, where Junior Data Scientists can thrive in the fast-paced B2B fintech industry. With a strong emphasis on employee growth, we offer opportunities for continuous learning and development, alongside competitive benefits and a collaborative environment that encourages creativity and problem-solving. Join us in making a meaningful impact in the financial services sector while working with cutting-edge technologies and a diverse team of experts.

EastNets

Contact Details:

EastNets Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Junior Data Scientist

Tip Number 1

Network like a pro! Reach out to people in the fintech industry, especially those working at Eastnets. A friendly chat can open doors and give you insights that might just land you an interview.

Tip Number 2

Show off your skills! Create a portfolio showcasing your data science projects, especially those related to financial crime prevention. This will help us see your practical experience and problem-solving abilities.

Tip Number 3

Prepare for the interview by brushing up on your machine learning concepts and how they apply to fraud detection. We love candidates who can discuss their thought process and approach to solving real-world problems.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re genuinely interested in joining the Eastnets family.

We think you need these skills to ace Junior Data Scientist

Machine Learning
Data Engineering
Model Development
Python
Data Analysis
Statistical Techniques
SQL

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Junior Data Scientist role. Highlight your programming experience, data science projects, and any relevant certifications to catch our eye!

Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data science and how you can contribute to Eastnets. Share specific examples of your problem-solving skills and any relevant projects you've worked on.

Showcase Your Technical Skills:Since this role involves using Python and SQL, be sure to mention your proficiency in these areas. If you've worked with machine learning or financial crime prevention, let us know how you've applied these skills in real-world scenarios.

Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. This way, we can easily track your application and get back to you quicker!

How to prepare for a job interview at EastNets

Know Your Data Science Basics

Make sure you brush up on your data science fundamentals, especially machine learning concepts and statistical techniques. Be ready to discuss how you've applied these in real-world scenarios, particularly in areas like fraud detection or compliance risk.

Showcase Your Problem-Solving Skills

Prepare to share specific examples of how you've tackled complex data problems. Think about the challenges you've faced, the methods you used, and the outcomes. This will demonstrate your analytical skills and ability to think critically.

Familiarise Yourself with Eastnets

Research Eastnets and its role in the fintech industry. Understand their products and services, especially around compliance and financial crime prevention. This knowledge will help you tailor your answers and show genuine interest in the company.

Practice Your Communication Skills

Since you'll be interacting with various stakeholders, practice explaining complex data concepts in simple terms. Being able to communicate effectively with non-technical team members is crucial, so consider mock interviews to refine this skill.