Data Scientist

Spencer Rose Ltd; Manchester; Hybrid; GBP 13,948,000 - 18,598,000; Full time

Job summary

Spencer Rose Ltd is hiring a Data Scientist for a Manchester-based financial services client on a hybrid basis. The contract is 6 months with potential extension up to 2 years, at a rate of 420 per day Inside IR35.

You will translate business problems into scalable AI solutions, develop end-to-end ML models and GenAI apps, and collaborate with data engineers and ML engineers to deploy impact-driven solutions.

Qualifications

• 8+ years' experience in Data Science, ML Engineering or Applied AI.
• Strong Python-based ML and NLP development experience.
• Proven track record of delivering ML and LLM-based solutions.
• Experience designing experiments and evaluating models.
• Knowledge of AI governance and model documentation.

Responsibilities

• Develop, train and optimise Machine Learning, NLP and Generative AI solutions.
• Build end-to-end modelling pipelines from data preparation through to production handover.
• Utilise BigQuery and BigQuery ML for experimentation, analytics and model development.
• Design and evaluate LLM based solutions, including Retrieval Augmented Generation (RAG) approaches.
• Define testing frameworks, model evaluation metrics and experimentation strategies.
• Produce model documentation, model cards and governance ready evidence.
• Collaborate with Data Engineers, ML Engineers and stakeholders to deliver impactful solutions.

Skills

Python

NLP

GenAI

LLM

BigQuery

MLOps

Model evaluation

Governance

Stakeholder mgmt

Experiment design

Tools

BigQuery ML

Job description

Data Scientist

Contract - 420 per day (Inside IR35)

Contract length - Initial 6 month contract (opportunity for further extension for up to 2 years)

Hybrid working - x2 days per week in office (Central Manchester)

Spencer Rose are hiring on behalf of a leading financial services organisation based in Manchester who are on the look out for an experienced Data Scientist. Within this role, the Data Scientist will translate business problems into scalable AI solutions, developing end-to-end machine learning models and GenAI applications.

The Data Scientist will have the following responsibilities -

• Develop, train and optimise Machine Learning, NLP and Generative AI solutions.
• Build end-to-end modelling pipelines from data preparation through to production handover.
• Utilise BigQuery and BigQuery ML for experimentation, analytics and model development.
• Design and evaluate LLM based solutions, including Retrieval Augmented Generation (RAG) approaches.
• Define testing frameworks, model evaluation metrics and experimentation strategies.
• Produce model documentation, model cards and governance ready evidence.
• Collaborate with Data Engineers, ML Engineers and stakeholders to deliver impactful solutions.

The Data Scientist will need to have the following skills/experience -

• 8+ years' experience in Data Science, Machine Learning Engineering or Applied AI.
• Strong Python-based machine learning and NLP development experience.
• Proven track record of delivering classical ML and LLM-based solutions.
• Experience designing experiments, evaluating model performance and communicating insights.
• Knowledge of AI governance, responsible AI practices and model documentation

If you are seeking a new role, interviews are happening w/c 5th October