Junior Data Scientist

Junior Data Scientist

Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
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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 63000 - 77000 £ per year.

Job Title

Junior Data Scientist

Job Family

Business Operations

Reports To

Lead Data Scientist

Subordinates

  • None
  • Company Overview

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, and 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.

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Junior Data Scientist employer: EastNets

As a leading provider in fintech, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. Our Junior Data Scientists benefit from extensive growth opportunities, working alongside industry experts in a dynamic environment dedicated to compliance and financial crime prevention. Located in a vibrant tech hub, we offer competitive benefits and a commitment to professional development, making us an excellent employer for those seeking meaningful and rewarding careers.

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Contact Details:

EastNets Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Junior Data Scientist

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like EastNets!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Junior Data Scientist at EastNets.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like EastNets.

Apply Directly through Our Website

When you find a suitable opening like Junior Data Scientist at EastNets, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

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 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at EastNets, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at EastNets. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at EastNets

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at EastNets!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.