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For Companies At a Glance
- Tasks: Develop data-driven algorithms to enhance business decisions in credit services.
- Company: Join FairMoney, a pioneering mobile banking institution transforming emerging markets.
- Benefits: Enjoy 25 days paid time off, family leave, and a training budget.
- Why this job: Make a real impact in fintech by leveraging data science for better customer experiences.
- Qualifications: 5+ years in analytics with strong skills in Python, SQL, and machine learning.
- Other info: Remote work options and excellent career growth opportunities await you.
The predicted salary is between 43200 - 72000 Ā£ per year.
About the Company
FairMoney is a pioneering mobile banking institution specializing in extending credit to emerging markets. Established in 2017, the company currently operates primarily in Nigeria and has secured nearly ā¬50 million in funding from renowned investors including Tiger Global, DST, and Flourish Ventures.
Job Summary
Your mission is to develop data science-driven algorithms and applications to improve decisions in business processes like risk and debt collection, offering the best-tailored credit services to as many clients as possible.
Requirements
- Strong background in Mathematics / Statistics / Econometrics / Computer Science or related field
- 5+ years of work experience in analytics, data mining, and predictive data modelling, preferably in the fintech domain
- Strong proficiency in Python and SQL
- Handsāon experience handling large volumes of tabular data
- Strong analytical skills: ability to make sense of diverse data and its application to specific business problems
- Confidence working with key machine learning algorithms (GBM, XGāBoost, Random Forest, Logistic regression)
- Experience building and deploying models around credit risk, debt collection, fraud, and growth
- Track record of designing, executing and interpreting A/B tests in a business environment
- Strong focus on business impact and experience driving it endātoāend using data science applications
- Strong communication skills
- Passion for all things data
Tool Stack
- Programming language: Python
- Production: Python API deployed on Amazon EKS (Docker, Kubernetes, Flask)
- ML: ScikitāLearn, LightGBM, XGBoost, shap
- ETL: Python, Apache Airflow
- Cloud: AWS, GCP
- Database: MySQL
- DWH: BigQuery, Snowflake
- BI: Tableau, Metabase, dbt
- Streaming Applications: Flink, Kinesis
Role and Responsibilities
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
- Mine and analyze data from company databases and external sources to drive optimization and improvement of risk strategies, product development, marketing techniques, and other business decisions
- Assess the effectiveness and accuracy of new data sources and data gathering techniques
- Use predictive modelling to increase and optimize customer experiences, revenue generation, and other business outcomes
- Coordinate with different functional teams to make the best use of developed data science applications
- Develop processes and tools to monitor and analyze model performance and data quality
- Apply advanced statistical and data mining techniques to derive patterns from the data
- Own data science projects endātoāend and proactively drive improvements in both data and models
Benefits
- Paid Time Off (25 days vacation, sick & public holidays)
- Family Leave (maternity, paternity)
- Training & Development budget
- Paid company business trips (not mandatory)
- Remote work
Recruitment Process
- Screening call with Senior Recruiter
- Home Test assignment
- Technical interview
- Interview with the team and key stakeholders
Seniority level: MidāSenior level
Employment type: Fullātime
Job function: Information Technology
Industries: Non-profit Organizations and Primary and Secondary Education
Senior Data Scientist in London employer: FairMoney
Contact Detail:
FairMoney Recruiting Team
StudySmarter Expert Advice š¤«
We think this is how you could land Senior Data Scientist in London
āØNetwork Like a Pro
Get out there and connect with people in the fintech space! Attend meetups, webinars, or even just grab a coffee with someone in the industry. You never know who might have the inside scoop on job openings or can put in a good word for you.
āØShow Off Your Skills
Donāt just talk about your experience; showcase it! Create a portfolio of your data science projects, especially those related to credit risk or predictive modelling. Share it on platforms like GitHub or your personal website to impress potential employers.
āØAce the Interview
Prepare for technical interviews by brushing up on your Python and SQL skills. Be ready to discuss your past projects and how you've used machine learning algorithms to solve real business problems. Practice common interview questions to boost your confidence!
āØApply Through Our Website
When you find a role that excites you, apply directly through our website! It shows you're genuinely interested and helps us keep track of your application. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Senior Data Scientist in London
Some tips for your application š«”
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience in analytics, data mining, and predictive modelling, especially in the fintech domain. We want to see how your skills align with our mission at FairMoney!
Showcase Your Projects: Include specific examples of projects you've worked on that demonstrate your proficiency in Python, SQL, and machine learning algorithms. We love seeing real-world applications of your skills, so donāt hold back!
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about data science and how you can contribute to our goals at FairMoney. Be sure to mention any relevant experience with credit risk or debt collection, as itās super important for this role.
Apply Through Our Website: We encourage you to apply directly through our website. Itās the best way for us to receive your application and ensures youāre considered for the role. Plus, it shows us youāre keen on joining our team!
How to prepare for a job interview at FairMoney
āØKnow Your Data Science Stuff
Make sure you brush up on your knowledge of machine learning algorithms and data modelling techniques. Be ready to discuss how you've applied these in real-world scenarios, especially in fintech. Prepare examples that showcase your analytical skills and how theyāve driven business impact.
āØShowcase Your Technical Skills
Since the role requires strong proficiency in Python and SQL, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot or explain your thought process while working with large datasets. Practise coding challenges related to data manipulation and analysis.
āØCommunicate Clearly
Strong communication skills are key for this role. Be ready to explain complex data concepts in simple terms. Think about how you can convey your findings to stakeholders who may not have a technical background. Practise summarising your projects and their impacts succinctly.
āØPrepare for Scenario Questions
Expect questions that assess your problem-solving abilities in real business contexts. Think of scenarios where you had to optimise processes or improve decision-making using data. Prepare to discuss the outcomes of your actions and how you measured success.
