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For Companies At a Glance
- Tasks: Lead the development of machine learning models for consumer lending decisions.
- Company: Join an innovative UK consumer finance business redefining the industry since 2018.
- Benefits: Enjoy flexible hybrid working, competitive salary, and a range of corporate perks.
- Why this job: Make a real impact in a dynamic team transforming credit risk and customer experience.
- Qualifications: Bachelor's in relevant field; strong SQL and Python skills; experience in model development.
- Other info: Opportunity to work with cutting-edge technology and contribute to meaningful financial solutions.
The predicted salary is between 54000 - 84000 £ per year.
Hybrid working – London Offices
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.
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 Analytics
Contact Detail:
Datatech Analytics 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 engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your hands-on experience with SQL and Python by preparing examples of past projects where you've developed machine learning models. Be ready to discuss the challenges you faced and how you overcame them.
✨Tip Number 3
Network with professionals in the consumer finance and data science fields. Attend relevant meetups or webinars to connect with others who may have insights into the company or industry, which could give you an edge.
✨Tip Number 4
Prepare to demonstrate your problem-solving skills through practical exercises or case studies during the interview process. Being able to think on your feet and showcase your analytical abilities will impress the hiring team.
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 in data science, particularly with machine learning and consumer lending. Use keywords from the job description to demonstrate that you meet the required skills.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and consumer finance. Explain how your background aligns with the company's mission to simplify the consumer finance experience and mention specific projects or achievements.
Showcase Technical Skills: In your application, emphasise your proficiency in SQL and Python, along with any experience you have with machine learning algorithms and data visualisation tools like Tableau. Provide examples of how you've used these skills in previous roles.
Highlight Problem-Solving Abilities: Demonstrate your strong problem-solving skills by including examples of challenges you've faced in data science projects. Discuss how you approached these challenges and the impact of your solutions on previous employers.
How to prepare for a job interview at Datatech Analytics
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL and Python in detail. Highlight specific projects where you used popular Data Science packages like pandas and sklearn, and be ready to explain the machine learning algorithms you've worked with.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving skills. Prepare examples of challenges you've faced in data wrangling or model development, and how you approached and resolved them.
✨Communicate Clearly
Strong communication is key for this role. Practice explaining complex technical concepts in simple terms, as you'll need to collaborate with non-technical stakeholders. Be ready to discuss how your work impacts customer experience.
✨Research the Company and Industry
Familiarise yourself with the consumer finance industry and the company's mission to simplify the finance experience. Understanding their products and challenges will help you tailor your responses and show genuine interest.
