Data Scientist - Global Targeting in London

Data Scientist - Global Targeting in London

London Full-Time 28800 - 48000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Build and optimise predictive models to enhance user experience through data-driven targeting.
  • Company: Join ClearScore, the UK's leading credit score app with a vibrant analytical community.
  • Benefits: Enjoy flexible work, 25 holidays, private health cover, and continuous learning opportunities.
  • Why this job: Make a real impact on users' financial decisions while developing your skills in a supportive environment.
  • Qualifications: Proficiency in Python and SQL, with a strong understanding of ML techniques and model lifecycle.
  • Other info: Collaborative culture with a focus on innovation and career growth.

The predicted salary is between 28800 - 48000 £ per year.

We are looking for a Data Scientist to join our Data & Analytics team. Data Scientists play a key role within ClearScore, driving strategy and decision-making at all levels, which ultimately benefits our users, partners, and other teams within the business. We’re seeking an adaptable, curious, and challenge-loving individual to join our growing Global Targeting team. You will build, optimise, and operationalise predictive models to enhance our user experience through improved personalisation, contributing to best practice frameworks to enable better ways of working across the discipline. Your contributions will directly support the business in realising our overall strategy.

What you will be doing:

  • Managing the end-to-end build of predictive models to enable a more personalised user experience through data-driven Targeting
  • Interpreting and communicating the outputs of models and analysis, including actionable insights
  • Automating the model development and maintenance lifecycle
  • Assessing the impact and suitability of new models within the strategies utilising them
  • Contributing to shared tooling to improve ways of working across the team
  • Supporting the ongoing growth of ClearScore across all markets

Skills we’d love you to have:

  • A self-starter mindset: curious, collaborative, and committed to continuous learning. A desire to deeply understand a problem and its importance to the business before attempting to solve it
  • A drive to understand our users, products, and how users interact with them, enhancing your ability to generate meaningful features and solutions relevant to the problem being addressed
  • The ability to explain to technical and non-technical audiences the key learnings/findings from complex analysis and modelling exercises
  • High proficiency in Python and SQL, with experience in dbt and R being advantageous. A demonstrable ability to write clean, production-ready code is highly desirable
  • A strong understanding of multiple statistical and Machine Learning (ML) techniques and their suitability under various scenarios
  • Thorough knowledge of and experience related to the end-to-end ML model build lifecycle, including feature engineering, hyper-parameter tuning, deployment, and model maintenance (in a production environment)
  • A solid grasp of common approaches to experimentation and impact evaluation, including statistical and observational methods
  • A good understanding of consumer lending and the key drivers of credit and affordability strategies

Why ClearScore?

ClearScore is the UK’s #1 credit score and report app. We are also present in South Africa, Australia and Canada, with more than 20 million users globally and growing fast. Someone joins ClearScore every 20 seconds. We have established relationships with over 50 of the main lenders in the UK, and have been a trusted tool for customers to manage their credit and make better financial decisions.

Since October 2016 we have helped 1.8 million users take out a new credit card or loan. We are user-centric at our core and we believe in leveraging technology to enable positive financial choices. We are design-led and data-driven and we embed these behaviours in everything we do.

Our company culture is a fundamental part of all we have achieved. We believe in hiring smart, driven, passionate and diverse people who are keen on having a real impact in our organisation. We trust you to manage your own time so we offer flexible work and no fixed desk hours. We don’t micromanage and we believe in measuring outcomes rather than effort. We have an inclusive culture where all, regardless of seniority, are encouraged to contribute with their ideas, look after their wellbeing and actively seek opportunities for career growth.

If you feel like this could be the place for you, apply and our Talent team will be happy to share more.

Benefits:

  • 25 paid holidays and a “duvet day” on your birthday
  • Private health and dental cover - including mental health support through Bupa GP office visits
  • Up to 6% matched pension
  • Regular Lunch and Learns with guest speakers
  • Dog-friendly office
  • Daily breakfast and free snacks
  • Access to discounts via Cobens Extras
  • Free sports and social clubs
  • Continued investment into learning and development
  • Leadership-led training
  • In-house psychotherapist
  • Financial coach to help you plan and achieve your goals
  • No clock-watching culture
  • Generous maternity and paternity plans
  • Culture and inclusion representatives
  • Transparent pay structure and a career growth plan

ClearScore is committed to providing equal employment opportunities to all qualified individuals. As an equal opportunity employer, we are able to make reasonable adjustments to accommodate individuals with disabilities during the recruitment and selection process. If you require accommodation, please inform us in advance, and we will work with you to meet your needs.

Our Hybrid Model:

We embrace a dynamic hybrid work environment that balances flexibility with collaborative in-person experiences. Our approach is designed to foster innovation, team connection, and individual productivity. Level 6 and above: Minimum 3 days per week in-office.

What This Means for You:

  • Flexibility to manage your work and life
  • Dedicated in-office days for team building and collaborative projects
  • Office facilities (with plants!) designed for productive interactions
  • Clear expectations and support for maintaining our hybrid schedule

We’re committed to creating an inclusive environment that accommodates diverse needs while maintaining our collaborative culture. Join us in shaping the future of work!

Note: While we offer flexibility, commitment to our hybrid schedule is an important aspect of our team culture and performance expectations.

Inclusion Policy:

We are always looking for talented individuals to join ClearScore. We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for our people.

Data Scientist - Global Targeting in London employer: ClearScore Technology Limited

ClearScore is an exceptional employer that fosters a vibrant and inclusive work culture, where innovation and collaboration thrive. With a strong commitment to employee growth, we offer extensive learning opportunities, flexible working arrangements, and a supportive environment that encourages contributions from all team members. Our focus on user-centric solutions and data-driven decision-making ensures that every Data Scientist can make a meaningful impact while enjoying a range of benefits, including private health cover and generous leave policies.
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Contact Detail:

ClearScore Technology Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist - Global Targeting in London

Tip Number 1

Network like a pro! Reach out to current employees at ClearScore on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for your application process. It’s all about making connections!

Tip Number 2

Prepare for the interview by brushing up on your Python and SQL skills. Be ready to discuss your past projects and how you’ve used data to drive decisions. Show us your passion for data science and how it can enhance user experience!

Tip Number 3

Practice explaining complex concepts in simple terms. You’ll need to communicate your findings to both technical and non-technical audiences, so being able to break things down is key. Think of it as storytelling with data!

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the ClearScore team!

We think you need these skills to ace Data Scientist - Global Targeting in London

Predictive Modelling
Data Analysis
Python
SQL
dbt
R
Machine Learning Techniques
Feature Engineering
Hyper-parameter Tuning
Model Deployment
Model Maintenance
Statistical Methods
Consumer Lending Knowledge
Communication Skills
Curiosity

Some tips for your application 🫡

Show Your Curiosity: When writing your application, let your curiosity shine through! We love candidates who are eager to learn and understand the problems at hand. Share examples of how you've tackled challenges in the past and what you learned from them.

Be Clear and Concise: We appreciate clarity in communication, so make sure your application is easy to read. Use straightforward language and avoid jargon unless necessary. Highlight your key skills and experiences that align with the Data Scientist role without rambling on.

Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect how your skills and experiences match the job description. Mention specific projects or tools you've used that relate to predictive modelling and user experience.

Apply Through Our Website: We encourage you to apply directly through our website for the best chance of being noticed. It’s super easy, and you’ll be able to showcase your application in the best light. Plus, it helps us keep track of all applicants efficiently!

How to prepare for a job interview at ClearScore Technology Limited

Know Your Models

Make sure you’re well-versed in the predictive models you’ve worked on. Be ready to discuss the end-to-end build process, from feature engineering to deployment. ClearScore values a solid understanding of the ML model lifecycle, so showcase your experience and insights.

Communicate Clearly

Practice explaining complex data concepts in simple terms. You’ll need to convey your findings to both technical and non-technical audiences. Think about how you can make your insights actionable and relevant to the business’s goals.

Show Your Curiosity

Demonstrate your self-starter mindset by discussing how you approach problem-solving. Share examples of how you’ve dug deep into user behaviour or product interactions to generate meaningful features. This will show your adaptability and commitment to continuous learning.

Brush Up on SQL and Python

Since proficiency in Python and SQL is crucial for this role, be prepared to discuss your coding experience. Bring examples of clean, production-ready code you’ve written, and if you have experience with dbt or R, don’t forget to mention that too!

Data Scientist - Global Targeting in London
ClearScore Technology Limited
Location: London

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