Data Scientist

The Opportunity

Our client, a leading UK technology consulting partner, is seeking an experienced Data Scientist to join a high-profile programme being delivered for a global consulting organisation and its enterprise end client.

This role will suit a commercially focused Data Scientist who can combine strong statistical, machine learning and analytical capabilities with excellent stakeholder engagement skills. The successful consultant will work within a multidisciplinary data team to develop predictive models, generate actionable business insights, and support data-driven decision making across large-scale transformation initiatives.

Key Responsibilities

• Develop, test and deploy machine learning and statistical models to solve business problems.
• Analyse large, complex datasets to identify trends, patterns and opportunities.
• Build predictive and prescriptive analytics solutions that deliver measurable business value.
• Collaborate with data engineers, architects, business analysts and client stakeholders.
• Design and implement data science methodologies, experimentation frameworks and model validation approaches.
• Create visualisations, dashboards and reports that communicate complex findings to technical and non-technical audiences.
• Support the operationalisation and monitoring of machine learning models.
• Contribute to best practices across data science, analytics and AI initiatives.
• Present recommendations and insights to senior business stakeholders.
• Work within Agile delivery teams and participate in sprint ceremonies where required.

Required Skills & Experience

• Proven experience working as a Data Scientist within enterprise or consulting environments.
• Strong commercial experience with Python and associated data science libraries such as:
• o Pandas
• o NumPy
• o Scikit-Learn
• o SciPy
• o TensorFlow and/or PyTorch
• Experience building and deploying machine learning models in production environments.
• Strong knowledge of:
• o Statistical modelling
• o Predictive analytics
• o Classification and regression techniques
• o Feature engineering
• o Model evaluation and optimisation
• Advanced SQL skills and experience working with large datasets.
• Experience with cloud platforms, ideally one or more of:
• o Microsoft Azure
• o AWS
• o Google Cloud Platform
• Familiarity with MLOps principles and model deployment pipelines.
• Experience creating data visualisations using tools such as Power BI, Tableau or Python-based visualisation libraries.
• Strong stakeholder management and communication skills.
• Experience working within Agile delivery methodologies.

Desirable Experience

• Experience within consulting, professional services or client-facing project environments.
• Exposure to Generative AI, LLMs and AI solution development.
• Azure Machine Learning, Databricks or Snowflake experience.
• Experience working on digital transformation or data modernisation programmes.
• Knowledge of data governance, model governance and responsible AI frameworks.
• Relevant certifications in Data Science, AI, Azure, AWS or GCP.