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Data Scientist (Contract) | Outside IR35
Location
Remote/Hybrid (UK Based)
Travel
Occasional travel to London office
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.
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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:
- Pandas
- NumPy
- Scikit-Learn
- SciPy
- TensorFlow and/or PyTorch
- Experience building and deploying machine learning models in production environments.
- Strong knowledge of:
- Statistical modelling
- Predictive analytics
- Classification and regression techniques
- Feature engineering
- Model evaluation and optimisation
- Advanced SQL skills and experience working with large datasets.
- Experience with cloud platforms, ideally one or more of:
- Microsoft Azure
- AWS
- 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.
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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.
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