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- Tasks: Lead the development of machine learning models for consumer lending decisions.
- Company: Join an innovative UK consumer finance business redefining the credit experience.
- Benefits: Enjoy flexible hybrid working, competitive salary, and a bonus scheme.
- Why this job: Make a real impact in a growing industry with cutting-edge technology.
- Qualifications: Bachelor's in a relevant field; strong SQL and Python skills required.
- Other info: Opportunity to work with an agile team and drive meaningful change.
The predicted salary is between 45000 - 105000 £ per year.
Hybrid working - London Offices
Negotiable to £75,000 DEO + Benefits
Our client is an innovative UK based consumer finance business, with a digital credit card launched in 2018, and a pipeline of consumer finance solutions in the making. They are on a mission to redefine the consumer finance experience and liberate customers from needless complexity, wasted time and frustration. Or as they say it, Make Simple. This is a chance to make a real impact in a growing business on a mission to change the face of the consumer finance industry forever.
About The Role
As a Senior Data Scientist your role will span across the whole lifecycle of model development. That means you are someone who enjoys in equal measures the data wrangling to compose meaningful feature and clean sets, and modelling using Machine Learning. You'll develop and deploy machine learning models that power real-world decisions - from underwriting to fraud detection to optimise customer conversion. This is an end-to-end role: data wrangling, model development, evaluation, and performance monitoring.
As a Data Scientist, you'll play a key role in the end-to-end lifecycle of their advanced machine learning models, working with structured and unstructured data to fuel predictive analytics. You'll be part of an agile, innovative team, developing cutting-edge solutions that are transforming the world of credit risk. Your work will have a real-world impact, driving smarter decisions and enhancing our customer experience.
They are seeking a curious, hands-on Senior Data Scientist and the successful candidate must have the right to work in the UK and meet the following criteria:
Required Skills & Experience:
- Bachelor's degree in Computer Science, Mathematics, Statistics, Business Administration or related field
- Advanced knowledge of SQL
- Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy, sklearn)
- Familiarity with what is happening under the hood of popular Machine Learning algorithms
- Strong problem-solving skills and attention to detail
- Strong communication and collaboration skills
- Ability to work in a fast-paced, dynamic environment
- Eagerness to make an impact and lead on model delivery
- Previous experience developing underwriting or behavioural models for credit extension
Desired:
- Master's degree in Data Science/Machine Learning or related discipline
- Knowledge of Deep Learning frameworks, ideally Keras/Tensorflow
- Familiarity with software version control (GitHub, bitbucket)
- Knowledge of Tableau
- Ability to comprehend research papers and possibly apply their solutions
- Credit card industry knowledge
What's in it for you?
- Competitive salary based on industry benchmarking
- Flexible remote hybrid working model
- Option to join Pension Salary Exchange scheme to turbo charge your pension contributions
- Participation in our annual bonus scheme
- Family-friendly policies with enhanced support
- Free access to our confidential Employee Assistance Program
- Access to various company perks, competitions and recognition scheme
Senior Data Scientist - Consumer Lending employer: Datatech
Contact Detail:
Datatech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Consumer Lending
✨Tip Number 1
Familiarise yourself with the latest trends in consumer lending and machine learning. This will not only help you understand the company's mission but also allow you to discuss relevant topics during interviews, showcasing your passion and knowledge.
✨Tip Number 2
Network with professionals in the data science and consumer finance sectors. Attend industry meetups or webinars to connect with potential colleagues or mentors who can provide insights into the company culture and expectations.
✨Tip Number 3
Prepare to discuss specific projects where you've developed and deployed machine learning models. Be ready to explain your thought process, the challenges you faced, and how your contributions made a tangible impact on previous projects.
✨Tip Number 4
Brush up on your SQL and Python skills, particularly with the libraries mentioned in the job description. Consider working on a small project or contributing to open-source initiatives to demonstrate your proficiency and keep your skills sharp.
We think you need these skills to ace Senior Data Scientist - Consumer Lending
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Senior Data Scientist role. Emphasise your knowledge of SQL, Python, and machine learning algorithms, as well as any previous work in credit extension.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and consumer finance. Discuss how your background and skills can contribute to the company's mission of simplifying the consumer finance experience.
Showcase Your Projects: Include specific examples of projects where you've developed and deployed machine learning models. Highlight your problem-solving skills and any experience with structured and unstructured data.
Prepare for Technical Questions: Be ready to discuss your technical expertise in SQL, Python, and machine learning during interviews. Brush up on key concepts and be prepared to explain your thought process in model development and evaluation.
How to prepare for a job interview at Datatech
✨Showcase Your Technical Skills
As a Senior Data Scientist, you'll need to demonstrate your advanced knowledge of SQL and Python. Be prepared to discuss specific projects where you've used these skills, particularly in developing machine learning models or working with large datasets.
✨Understand the Business Context
Familiarise yourself with the consumer finance industry and the company's mission to simplify the customer experience. Being able to articulate how your work can contribute to this goal will show that you're not just technically proficient but also aligned with their vision.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities. Think of examples from your past experiences where you tackled complex data challenges, especially in credit risk or model development, and be ready to explain your thought process.
✨Emphasise Collaboration and Communication
Highlight your strong communication and collaboration skills, as these are crucial in an agile team environment. Be ready to discuss how you've worked with cross-functional teams in the past and how you can contribute to a collaborative culture.
