Lead Data Scientist - Finance

Opus Recruitment Solutions; London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

A fast-growing finance startup is seeking a Lead Data Scientist to join their mission to transform financial data interaction. Located in London, the role emphasizes leadership and innovative data solutions to enhance financial decision-making. Candidates should possess a strong background in data science, leadership experience, and proficiency in Python and SQL, with a competitive salary and hybrid working model offered.

Benefits

Competitive salary up to £110,000

Equity package

Flexible working hours

Learning and development budget

Qualifications

• 5–10 years of experience in data science, with at least 2 years in a leadership or senior role.
• Proven experience in a startup or fast-paced environment.
• Strong proficiency in data science libraries.

Responsibilities

• Lead the development and deployment of machine learning models.
• Build and mentor a high-performing data science team.
• Establish best practices for experimentation and deployment.

Skills

Python

SQL

Machine Learning

Data Analytics

Stakeholder Management

Education

Bachelor’s degree in Computer Science, Data Science, Statistics, or related field

Tools

scikit-learn

pandas

TensorFlow

PyTorch

AWS

GCP

Azure

Job description

I am looking for Lead Data Scientist role for a fast-growing finance start up on a mission to transform how individuals and businesses interact with financial data. Backed by top-tier investors, they're building intelligent, data-driven products that empower smarter financial decisions.

Hybrid - 3 days onsite

Location - London

Key Responsibilities

• Lead the development and deployment of machine learning models and advanced analytics solutions.
• Collaborate cross-functionally to identify and prioritize data science opportunities.
• Build and mentor a high-performing data science team.
• Establish best practices for experimentation, model validation, and deployment.
• Communicate complex data insights to technical and non-technical stakeholders.
• Stay current with trends in data science, machine learning, and financial technologies.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
• 5–10 years of experience in data science, with at least 2 years in a leadership or senior role.
• Proven experience in a startup or fast-paced environment.
• Strong proficiency in Python, SQL, and data science libraries (e.g., scikit-learn, pandas, TensorFlow/PyTorch).
• Experience working with financial data, risk modelling, or algorithmic trading is a plus.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and modern data stack tools (e.g., Apache Airflow, dbt, Snowflake).
• Excellent communication and stakeholder management skills.
• Must be available to work onsite in London 3 days per week.

What's on Offer

• Competitive salary up to £110,000 (depending on experience)
• Equity package.
• Flexible working hours and hybrid work environment.
• Opportunity to shape the future of finance with cutting-edge technology.
• Learning and development budget to support your growth.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Software Development

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