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- Tasks: Join us as a Senior Data Scientist, developing machine learning models that drive real-world decisions.
- Company: Be part of an innovative UK consumer finance business redefining the industry since 2018.
- Benefits: Enjoy flexible hybrid working, competitive salary, pension options, and family-friendly policies.
- Why this job: Make a real impact in a dynamic team transforming consumer finance with cutting-edge solutions.
- Qualifications: Bachelor's degree in a relevant field, advanced SQL, and strong Python skills required.
- Other info: Eager candidates with credit industry knowledge and a passion for data science will thrive here.
The predicted salary is between 45000 - 75000 £ 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. 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.
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 demonstrate your technical skills in SQL and Python during the interview process. Consider working on a personal project or contributing to open-source projects that showcase your ability to develop and deploy machine learning models.
✨Tip Number 4
Research the company’s existing products and any recent news about their innovations in consumer finance. Being able to discuss specific examples of how your skills can contribute to their goals will set you apart from other candidates.
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 or behavioural models.
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: If you have worked on relevant projects, especially those involving machine learning or predictive analytics, include them in your application. Provide links to your GitHub or any other portfolio that demonstrates your technical abilities.
Highlight Soft Skills: In addition to technical skills, emphasise your problem-solving abilities, attention to detail, and communication skills. These are crucial for collaboration within an agile team and will set you apart from other candidates.
How to prepare for a job interview at Datatech
✨Showcase Your Technical Skills
Make sure to highlight your advanced knowledge of SQL and Python during the interview. Be prepared to discuss specific projects where you've used popular Data Science packages like pandas and sklearn, as this will demonstrate your hands-on experience.
✨Understand Machine Learning Algorithms
Familiarise yourself with the inner workings of popular Machine Learning algorithms. Be ready to explain how you have applied these algorithms in previous roles, especially in developing underwriting or behavioural models for credit extension.
✨Demonstrate Problem-Solving Abilities
Prepare examples that showcase your strong problem-solving skills and attention to detail. Discuss challenges you've faced in data wrangling or model development and how you overcame them, as this will illustrate your capability to thrive in a fast-paced environment.
✨Communicate Effectively
Since strong communication and collaboration skills are essential for this role, practice articulating your thoughts clearly. Be ready to discuss how you've worked within teams to deliver impactful data science solutions, as well as how you can contribute to their agile, innovative team.
