Role: Data Scientist – ML
Location: London – 2 Days a week onsite
Salary: 60,000 – 70,000 DOE
About Us
The client is a software specialist growth equity firm, with offices in London and New York, partners with ambitious, rapidly growing software companies that have achieved significant traction with little or no external funding.
The firm brings capital for growth initiatives and shareholder liquidity, highly relevant operational expertise, and a trusted track record of respectfully partnering with founders on their path to category leadership
Benefits
- Upto 10% bonus (50/50 split employer / company)
- Priavte Medical
- Cash plans for Health
- 28 Days leave (+1 per year)
- Remote work options
- Share and stock "buy in incetives"
- Family Days and event
Key Responsibilities
- Data Exploration & Analysis: Analyse large, complex financial datasets to uncover actionable insights and drive decision-making.
- Machine Learning Development: Design, build, and deploy scalable machine learning models for financial forecasting, risk assessment, customer segmentation, fraud detection, and personalization.
- Collaboration: Work closely with cross-functional teams, including engineering, product, and analytics, to define problems, scope projects, and ensure seamless integration of ML solutions.
- Model Optimization: Continuously improve model performance and reliability using advanced techniques such as hyperparameter tuning and feature engineering.
- Visualisation & Communication: Present findings and recommendations to both technical and non-technical stakeholders through clear, concise visualizations and reports.
What You Bring
- Educational Background: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. PhD is a plus.
- Technical Expertise:
- Strong programming skills in Python or R.
- Proficiency in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Experience with data manipulation tools (SQL, Pandas) and visualization libraries (Matplotlib, Seaborn).
- Familiarity with big data technologies (e.g., Spark, Hadoop) is a bonus.
- Problem-Solving Skills: Proven ability to translate business challenges into data-driven solutions.
- Financial Knowledge: Prior experience or understanding of financial systems, market trends, or risk modeling is highly desirable.
Why Join Us?
- Impactful Work: Contribute to innovative projects that shape the future of financial services.
- Growth Opportunities: Access to professional development programs, mentorship, and resources to advance your career.
- Cutting-Edge Technology: Work with state-of-the-art tools and techniques in data science and machine learning.
- Inclusive Culture: Join a collaborative, diverse, and supportive team.
- Comprehensive Benefits: Enjoy competitive compensation, health benefits, retirement plans, and more.
