Data Scientist at Sustain Recruit, London, 6 Months, £Contract Rate

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.

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.