Lead Data Scientist at Open GI Ltd
Abbots Langley, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

13 Sep, 25

Salary

0.0

Posted On

15 Jun, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Engineers, Mathematics, Presentation Skills, Computer Science, Git, Tableau, Gnu Tools, Model Validation, Containerization, Docker, Data Science, Financial Services, Unsupervised Learning, R, Sql, Unix, Statistics, Python

Industry

Information Technology/IT

Description

It is our vision to connect the insurance community through market-leading technology. Our people are placed at the heart of this, and diversity, equity and inclusion are central to everything we do.
We know the key to achieving success is to enable a positive, inclusive, and collaborative working culture, and, as part of our commitment, we have signed up for a number of pledges and programmes designed to support and nurture our people.
No matter where you sit or which team you are a part of, we want you to know that you contribute in helping us to shape where the company will be in the future. We would love for each employee to be able to talk with pride about our company and, most importantly, consider Open GI to be an inclusive, fun and fulfilling place to work.

QUALIFICATIONS

  • Advanced degree in Data Science, Computer Science, Mathematics, Statistics, or related field.

EXPERIENCE

  • Strong experience as a Data Scientist, including at least 2 years in a lead or senior role.
  • Experience deploying models to production and working in cross-functional teams with engineers and product managers.
  • Exposure to real-time analytics, MLOps tools (e.g., MLflow, DVC), and containerization (Docker, Kubernetes) is a plus.
  • Insurance, financial services, or other regulated sector experience is advantageous.

SKILLS

  • Excellent communicator with the ability to present findings to both technical and non-technical audiences.
  • Proficient in Python (Pandas, Scikit-learn, PyTorch/TensorFlow) and SQL
  • Solid understanding of supervised and unsupervised learning, feature engineering, model evaluation techniques, and statistical analysis.
  • Comfortable working with large datasets and designing experiments for model validation.
  • Strong presentation skills
  • Expert knowledge of Python and/or R, a solid grasp of SQL
  • Experience with API’s & FastAPI
  • Experience with analytics tools, such as Tableau, PowerBI, or Dataiku
  • Front-end expertise (Javascript/Typescript) is a strong plus.
  • Experience with visualisation techniques
  • Deep understanding of Git, GNU Tools and Unix
  • Experience with CI/CD pipelines

MISSION AND VALUES

Our values are central to our vision, as they represent how we collaborate to continually deliver for our customers:

  • Accountability: We own our actions and shape our success on the results we deliver
  • Innovation: We tackle challenges with fresh thinking and bold ideas
  • Teamwork: We work together, recognising we can’t do this without each other
  • Trust: We build trust on integrity, transparency and mutual respect

We are looking for an individual who embraces our values in their actions, decisions, communications and processes to inspire positivity and, ultimately, exceptional performance.

How To Apply:

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Responsibilities

AN OVERVIEW OF THE ROLE

We are seeking a Lead Data Scientist to drive the development and deployment of advanced analytics, AI, statistical models, and machine learning solutions that deliver real business value. You will work closely with data engineers and product teams, and play a central role in embedding intelligent capabilities into our products and services.
This role is ideal for someone who is passionate about solving real-world problems with data and is excited about contributing to a strategic data vision in a complex, high-impact domain.
Please note, this is a hybrid role requiring in-office attendance at our Winchester or Worcester office twice a week, therefore we are looking initally for candidates who live within a 50 mile radius of one of these offices.

YOUR KEY RESPONSIBILITIES

  • Lead the development and deployment of machine learning models and predictive analytics solutions across the business.
  • Collaborate with stakeholders to identify high-value use cases and translate them into data science initiatives.
  • Guide the wider team in exploratory data analysis, feature engineering, model selection, evaluation, and production deployment.
  • Work closely with data engineers to build scalable data pipelines and support the productionisation of models.
  • Contribute to the design and delivery of Data-as-a-Service (DaaS) solutions, including model-as-a-service offerings and analytical APIs.
  • Ensure robustness, transparency, and fairness in deployed models, with appropriate monitoring and retraining strategies.
  • Champion best practices in version control, testing, documentation, and reproducibility.
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