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- Tasks: Lead data science projects to enhance customer experiences and drive business growth.
- Company: Join Oakbrook, a forward-thinking leader in consumer lending and analytics since 2011.
- Benefits: Enjoy flexible benefits, 25 days annual leave, and perks like private medical insurance and discounts.
- Why this job: Be part of a vibrant culture, tackle meaningful challenges, and grow your career with tailored development.
- Qualifications: Experience in data science, predictive modelling, and programming skills in R, SQL, and Python required.
- Other info: Work in a collaborative office environment, spending 4 days a week on-site in Nottingham.
The predicted salary is between 48000 - 84000 £ per year.
Formed in 2011, Oakbrook has brought together people with deep expertise in consumer lending, advanced analytics and forward-thinking technologists, with a shared belief that there is a better way to do consumer lending – by being more personalised and customer focused.
Our FCA regulated and consumer lending businesses are a leading partner to the aggregator market for consumer loans. Solving the borrowing needs of consumers, and connecting investors and funders seeking to finance consumer assets within their targeted risk-reward parameters.
We have a longstanding history of predictable performance for warehouse investors for our on-balance sheet lending, and forward flow lending options for investors and funders seeking to finance consumer assets without specialist consumer credit capabilities.
O6K, our business-to-business technology and analytics company, has built our proprietary technology platform from the ground up to support our own lending businesses, but is designed to offer white labelling and platform lending solutions for business partners.
Role Summary
This role offers an excellent opportunity for a data science professional to develop within a rapidly growing organisation. The data science team is responsible for delivering insight across our marketing, fraud, underwriting, and customer management strategies. The successful candidate will be a key player in this team, providing leadership across a number of different areas. The aim of the position is to advance Oakbrook’s data science and innovation capabilities across the full customer lifecycle including developments within machine learning using innovative data sources not traditionally used by consumer finance companies.
Responsibilities
- Owning the development and maintenance of predictive models to improve customer outcomes across fraud, marketing, credit and collections
- Advance our autonomous decisioning capability including model deployment, setting policy, and testing across all areas of the business
- Developing test and learn strategies across different lines of business using data driven analysis, monitoring performance and providing clear recommendations to drive the company forward to help support the company’s ambitious growth aspirations
- Providing leadership and identifying opportunities to improve process and procedures through inquisitive analysis
KPI\’s and Deliverables
- Model and Analytical Development:
- Analyse, build and integrate machine learning models that have a tangible benefit to the business
- Deliver valuable insight to the business through thorough analysis and excellent communication
- Quality & Communication: ·
- Ensure all deliverables are accurate and error-free
- Present findings clearly to technical and non-technical audiences
What we are looking for
- Technical Skills
- Experience with the full lifecycle data science projects
- Experienced and knowledgeable in predictive modelling, machine learning and AI
- Good programming skills in R, SQL, Python
- Data visualisation and dashboarding e.g. Power BI
- Understanding of statistical concepts
- Structure thinking and problem-solving capabilities
- Ability to understand IT infrastructure
- Non-Technical Skills
- Commercial acumen
- Usage of Gen AI
- Exceptional Communication and Interpersonal Skills
- Strong time management skills
- Discretion when dealing with confidential information
- Self-motivated and proactive
- Keen eye for detail
- Willingness to adapt role in line with business requirements
Conduct
Oakbrook is regulated by the Financial Conduct Authority. The FCA set minimum standards of individual behaviour, as such you will be required to abide by the following conduct rules.
- Rule 1: You must act with integrity.
- Rule 2: You must act with due skill, care and diligence.
- Rule 3: You must be open and cooperative with the FCA and other regulators.
- Rule 4: You must pay due regard to the interests of customers and treat them fairly.
- Rule 5: You must observe proper standards of market conduct.
- Rule 6: You must act to deliver good outcomes for retail customers.
The Rules apply to the extent that it is reasonable and proportionate in the scope of your role, however, all colleagues are expected to strive to deliver good outcomes for our customers. You will be required to undertake regular compliance training, and we expect this to be completed within a timely manner.
Work with the Best
Become part of Blenheim Chalcot, a leading global venture builder, and gain hands-on experience alongside some of the brightest minds in the industry.
Tackle meaningful challenges and accelerate your career with tailored learning and development opportunities designed to help you thrive.
Enjoy flexible benefits including Private Medical and Dental Insurance, Perkbox discounts, Electric Car Scheme, Life Assurance, a competitive Pension scheme, and more.
Start with 25 days of annual leave, plus your birthday off! You\’ll also earn an extra day each year you\’re with us, alongside long-service rewards such as complimentary Bupa health checks and enhanced pension contributions.
Vibrant Office Culture
Enjoy free snacks and refreshments in the office, and connect with colleagues at our regular monthly socials.
By submitting your CV you understand that we have a legitimate interest to use your personal data for the purposes of assessing your eligibility for this role. This means that we may use your personal data to contact you to discuss your CV or arrange an interview, or transfer your CV to the hiring manager(s) of the role you have applied for. You can ask us at any time to remove your CV from our database by emailingrecruitment@blenheimchalcot.com – but please note that this means we will no longer consider you for the role you have applied for.You can review our privacy policyhere .
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Lead Data Scientist - Oakbrook employer: Blenheim Chalcot
Contact Detail:
Blenheim Chalcot Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist - Oakbrook
✨Tip Number 1
Familiarise yourself with Oakbrook's business model and values. Understanding their focus on personalised consumer lending and advanced analytics will help you align your experience and skills with their mission during discussions.
✨Tip Number 2
Showcase your leadership abilities by preparing examples of how you've successfully led data science projects in the past. Be ready to discuss how you can contribute to advancing Oakbrook's data science capabilities.
✨Tip Number 3
Brush up on your knowledge of machine learning and predictive modelling, especially in the context of consumer finance. Being able to discuss innovative data sources and their applications will set you apart from other candidates.
✨Tip Number 4
Prepare to demonstrate your communication skills by thinking of ways to present complex data insights clearly to both technical and non-technical audiences. This is crucial for the role, as effective communication is key to driving business decisions.
We think you need these skills to ace Lead Data Scientist - Oakbrook
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, predictive modelling, and machine learning. Use keywords from the job description to demonstrate that you meet the specific requirements of the Lead Data Scientist role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for consumer lending and data science. Mention specific projects or achievements that align with Oakbrook's goals, particularly in improving customer outcomes and advancing data science capabilities.
Showcase Technical Skills: In your application, clearly outline your technical skills such as programming in R, SQL, and Python. Provide examples of how you've applied these skills in previous roles, especially in developing predictive models or data visualisation.
Demonstrate Soft Skills: Highlight your communication and interpersonal skills in your application. Since the role involves presenting findings to both technical and non-technical audiences, provide examples of how you've successfully communicated complex data insights in the past.
How to prepare for a job interview at Blenheim Chalcot
✨Showcase Your Technical Skills
Make sure to highlight your experience with the full lifecycle of data science projects. Be prepared to discuss specific predictive modelling and machine learning techniques you've used, as well as your programming skills in R, SQL, and Python.
✨Demonstrate Your Problem-Solving Abilities
Prepare examples that showcase your structured thinking and problem-solving capabilities. Discuss how you've approached complex data challenges in the past and the impact your solutions had on the business.
✨Communicate Effectively
Since the role requires presenting findings to both technical and non-technical audiences, practice explaining your analyses and insights clearly. Tailor your communication style to suit different stakeholders, ensuring everyone understands your contributions.
✨Understand the Company’s Values
Familiarise yourself with Oakbrook's commitment to integrity and customer focus. Be ready to discuss how you align with these values and how you would contribute to delivering good outcomes for retail customers in your role.
