Senior Data Scientist

Join Infinigate Group as a Senior Data Scientist/ AI Engineer and help shape the future of AI within a growing international organisation. Working as part of our innovative AI & Data Team, you'll design and deliver impactful machine learning, NLP and Generative AI solutions using technologies such as Databricks, Microsoft Fabric and Azure AI Services. This is an exciting opportunity for an experienced Data Scientist or a talented individual ready to step up into a senior role, offering the chance to influence technical direction, mentor colleagues and drive real business value through cutting-edge AI innovation.

We are pleased to offer this permanent opportunity as a fulltime role based hybrid from one of our 4 office locations (Fareham, London, Woking or South Cerney) – 3 days in office, 2 working from home.

Responsibilities

• Lead the design, development and deployment of data science, machine learning and Generative AI solutions that address priority business use cases

• Develop predictive, classification, forecasting, optimisation and anomaly detection models using robust statistical and machine learning methods

• Design and implement Generative AI solutions including Large Language Model applications, Retrieval-Augmented Generation pipelines, semantic search, summarisation, classification, question answering and content generation

• Define model evaluation approaches for accuracy, relevance, reliability, bias, safety, hallucination risk, cost and performance

• Collaborate with data engineers, analytics engineers, product owners and business stakeholders to translate ambiguous problems into practical analytical and AI solutions

• Apply MLOps and software engineering best practices including version control, testing, CI/CD, monitoring, documentation and reusable components

Requirements

• Strong Python and SQL skills, with experience using libraries such as pandas, NumPy, scikit-learn and relevant statistical or machine learning packages

• Hands-on experience with machine learning frameworks and approaches, including supervised learning, unsupervised learning, feature engineering, model selection and model validation

• Practical experience building Generative AI and LLM-based solutions, including prompt engineering, embeddings, vector databases, RAG, grounding, reranking and evaluation

• Experience with NLP techniques such as text classification, entity extraction, semantic similarity, summarisation and information retrieval

• Experience using Databricks, Spark and lakehouse concepts for large-scale data preparation, experimentation and model development

• Familiarity with Microsoft Fabric, Azure AI services, Azure Machine Learning or comparable cloud-based AI and data science platforms

• Experience with MLOps practices including Git, automated testing, CI/CD, model registry, deployment, monitoring and experiment tracking

• Ability to use AI-assisted development tools responsibly to improve productivity, code quality and documentation

• Proven track record delivering data science or AI solutions into production or near-production environments for BI, analytics, automation or decision support use cases

Personal requirements
Infinigate’s values underpin a strong collaborative working culture and successful inclusive working environment.

• Own it! Outstanding verbal and written communication skills with the ability translate concepts to multiple stakeholders
• Aim high! A self-starter with excellent multitasking abilities
• Be open! A team player, embracing business concepts and flexible to change

Benefits

• £70,000 - £80,000 salary per annum

• 25 days annual leave rising to 28 days with length of service, plus bank holidays.

• Day off on your birthday.

• 2 paid volunteer days per year

• Additional holiday purchase scheme

• Electric Car Lease Scheme

• Cycle to work scheme

• Life assurance of 4 x basic salary and group income protection from start date

• 5% employer matched pension contributions after 3 months service.

• Individual cover for private medical insurance and healthcare cash plan following successful completion of probationary period.

• Hybrid working arrangements and standard office working hours are 9am – 5.30pm

• Employee assistance programme for practical and emotional support.

• Free parking and complimentary refreshments onsite.

Infinigate Group are committed to creating a diverse and inclusive workplace where differences are not only accepted but also valued and appreciated. If any reasonable adjustments would support you through the recruitment process, please make us aware by answering the relevant application questions. For any further queries, please contact us at jobsuk@infinigate.com.