Lead Data Scientist (Model Developer) / Deep Learning Practitioner

Job Overview

Lead Data Scientist (Model Developer) / Deep Learning Practitioner – Nottingham Trent House, Nottingham, United Kingdom. Permanent position in the Nottingham office with hybrid working model (office 3 days a week).

Responsibilities

• Lead the development of next‑generation deep learning approaches to enhance underwriting models.
• Build sophisticated neural networks (e.g. LSTMs, RNNs, Transformers) using non‑traditional datasets.
• Transform raw, multimodal inputs into predictive features.
• Prioritise initiatives with business stakeholders and bridge R&D to production.
• Navigate large datasets, coding in SQL/Python, and deliver actionable solutions.
• Collaborate cross‑functionally on projects aligned with key business initiatives and sustainable growth.

Qualifications

• Strong experience developing and deploying deep learning models for sequential data (time series or language).
• Proven track record leading model development, setting technical direction, project management, stakeholder communication, and mentoring.
• Experience producing maintainable code in SQL/Python and performing code reviews.
• Hands‑on with PyTorch, TensorFlow, or Hugging Face Transformers; training on GPUs or clusters.
• Experience with structured and unstructured data (text, logs, time series) and tokenisation techniques.
• Solid understanding of probability, statistics, machine learning, and large‑dataset manipulation.
• Continuous learning mindset and ability to prototype new techniques.

Working arrangement

Hybrid model: in‑office on Tuesdays, Wednesdays, and Thursdays; remote on Monday and Friday. Flexible arrangements are available.

Benefits

Competitive salary, pension scheme, bonus, generous holiday entitlement, private medical insurance, and flexible benefits such as seasonal ticket loans, cycle‑to‑work scheme, and enhanced parental leave.

Equal Opportunity

We are an equal‑opportunity employer committed to diversity and inclusion.

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