Head of Data Science Engineering

ZipRecruiter
London
1 month ago
Applications closed

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Job Description

An exciting opportunity has arisen for an experienced data leader to drive innovation and enhance data-driven decision-making at a leading private equity firm. This role will spearhead the development of cutting-edge data solutions, leveraging advanced analytics, predictive modeling, and machine learning to optimize investment strategies and operational efficiency.

The Role

As Head of Data , you will be responsible for shaping and executing the firm’s data strategy, working closely with stakeholders across technology, investment, and transformation teams.

Your expertise in data engineering, analytics, and machine learning will play a pivotal role in building scalable data solutions, refining governance frameworks, and enhancing analytical capabilities.

Key Responsibilities

  • Collaborate with senior leadership to refine and implement the firm’s data science strategy, aligning it with broader business priorities.
  • Design and develop data platforms, pipelines, and analytical tools that support investment decision-making and risk management.
  • Drive innovation by applying advanced machine learning techniques, AI, and predictive modeling to private markets investment challenges.
  • Oversee data governance, ensuring high-quality, structured, and unstructured data is effectively managed and utilized.
  • Enhance reporting and analytics capabilities, creating intuitive dashboards and user-centric analytical solutions.
  • Lead a high-performing data team, providing mentorship, professional development, and fostering a culture of continuous improvement.
  • Monitor industry trends, regulatory developments, and emerging technologies to keep the firm at the forefront of data innovation.
  • Establish KPIs to measure the success of data initiatives and provide insights to senior leadership.

Requirements

  • Experience in data science, data engineering, or analytics, ideally within investment management, financial services, or private markets.
  • Strong technical expertise in data architecture, data lakes, and cloud platforms, including experience with machine learning frameworks (TensorFlow, PyTorch, Hugging Face) and big data processing (Spark, Synapse).
  • Proven track record of leading high-performing teams and driving data-led transformation within a complex organization.
  • Strong strategic mindset with the ability to translate data insights into actionable business outcomes.
  • Excellent communication skills, with the ability to influence senior stakeholders and drive cross-functional collaboration.

This is a unique opportunity to shape the future of data science and engineering within a dynamic investment environment. If you’re a forward-thinking data leader looking to make a meaningful impact, I’d love to hear from you.

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