Senior Data Scientist - Private Equity Focus
About the Role
We are seeking a Senior Data Scientist remote to join our fast-growing, London-based investment-focused AI firm. This role offers the opportunity to work on interesting data problems that drive commercial value, particularly in the private equity sector. As a Senior Data Scientist remote, you will be integral in taking models from prototype to production in messy, real-world environments, collaborating with senior stakeholders to deliver impactful solutions.
What You'll Do
- Own end-to-end ML delivery from problem definition through deployment.
- Build and productionize models across various use cases including forecasting, pricing, churn, segmentation, fraud detection, and natural language processing (NLP).
- Work closely with data engineers and cloud infrastructure to scale solutions effectively.
- Translate technical work into clear commercial impact for senior stakeholders.
- Contribute to code quality, deployment standards, and best practices.
Requirements
- Proven experience as a Senior Data Scientist remote or similar role, with a strong focus on machine learning.
- Experience in deploying models in production environments.
- Proficiency in Python, SQL, and cloud platforms (AWS, GCP, Azure).
- Strong understanding of data science methodologies and best practices.
- Excellent communication skills to convey complex technical concepts to non-technical stakeholders.
Nice to Have
- Experience with Databricks and Docker.
- Familiarity with financial data and private equity.
- Knowledge of data engineering principles.
What We Offer
- Competitive salary of £90,000–£110,000 base + 15–20% discretionary bonus.
- Hybrid working model with 2–3 days per week in a central London office.
- 7% employer pension contribution.
- Private medical insurance covering family.
- Life assurance and income protection.
- 25 days of holiday plus bank holidays.
- Visa sponsorship available for international applicants.
This Senior Data Scientist remote position offers a unique opportunity to work with a leading AI firm in the private equity sector, providing competitive compensation and a hybrid work model.
About jobster
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Who Will Succeed Here
Proficient in Python for data manipulation and analysis, with hands-on experience in libraries such as Pandas, NumPy, and Scikit-learn for implementing machine learning algorithms.
Strong understanding of cloud platforms like AWS, GCP, and Azure, showcasing the ability to deploy machine learning models in production environments using Docker and orchestration tools.
Demonstrates a results-driven mindset with experience in developing NLP solutions for extracting insights from unstructured data, particularly in the context of private equity investment decisions.
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