Global Enterprise Partners is currently looking for experienced Data Scientists with strong expertise in Machine Learning, Advanced Analytics, and Generative AI** for a large-scale digital transformation programme.

Our client is investing heavily in AI-driven innovation and advanced analytics capabilities and is looking for:

* 1x Associate Data Scientist
* 1x Data Scientist
* 1x Senior Data Scientist
* 1x Lead Data Scientist
* 1x Principal Data Scientist

to support the development of innovative data science solutions, machine learning models, and AI-driven business transformation initiatives.

General Requirements

* Experience in Data Science, Machine Learning, Artificial Intelligence, or Advanced Analytics.
* Strong experience with Python, R, SQL, and modern analytics toolsets.
* Experience developing, training, validating, and deploying machine learning models.
* Understanding of supervised and unsupervised machine learning techniques including regression, classification, clustering, neural networks, and predictive modelling.
* Experience working with cloud-based environments such as Azure, AWS, or Google Cloud.
* Knowledge of data engineering concepts, ETL processes, and data modelling principles.
* Experience working within Agile environments and cross-functional teams.
* Excellent stakeholder management and communication skills.
* Passion for innovation, AI technologies, and continuous learning.

Key Responsibilities

* Design, develop, and deploy advanced analytics and machine learning solutions.
* Build predictive models and algorithms to solve complex business problems.
* Perform large-scale data analysis to generate actionable business insights.
* Collaborate with business stakeholders, engineers, architects, and product teams.
* Apply statistical techniques and quantitative methodologies to support business decision-making.
* Ensure solutions adhere to security, governance, and data privacy requirements.
* Support AI-driven innovation across the organisation.
* Communicate findings and recommendations to both technical and non-technical audiences.

Associate Data Scientist

Requirements

* Bachelor's degree in Computer Science, Information Technology, Data Science, Statistics, or a related field.
* Understanding of machine learning concepts, ETL processes, and data modelling.
* Exposure to Data Science methodologies and analytics techniques.
* Familiarity with cloud computing, DevOps, and CI/CD concepts.
* Understanding of Agile delivery methodologies.
* Strong communication and problem-solving skills.
* Desire to learn and develop within AI, Data Science, and Analytics.

Responsibilities

* Support the development of data-driven solutions using traditional Data Science and Generative AI techniques.
* Assist with rapid prototyping initiatives and proof-of-concepts.
* Work alongside Data Scientists and Engineers to develop analytical solutions.
* Apply machine learning, data analysis, and modelling techniques to business problems.
* Contribute to project delivery while building technical expertise across AI and Data Science domains.

Data Scientist

Requirements

* 3+ years of experience in Data Science, Machine Learning, or Artificial Intelligence.
* Proficiency with Python, R, and SQL.
* Experience delivering end-to-end machine learning projects.
* Understanding of TensorFlow, PyTorch, and Generative AI technologies.
* Knowledge of cloud platforms and DevSecOps practices.
* Experience with rapid prototyping and delivering business-focused AI solutions.

Responsibilities

* Deliver machine learning solutions from exploration and modelling through deployment.
* Apply AI, Machine Learning, NLP, and Generative AI techniques to solve business challenges.
* Collaborate with engineering, product, and business teams.
* Support model integration into production environments.
* Ensure performance, scalability, and governance standards are met.

Senior Data Scientist

Requirements

* 7+ years of Data Science, Machine Learning, or AI experience.
* Strong experience with Generative AI technologies, including LLMs, Prompt Engineering, RAG, and Fine-Tuning.
* Experience with DevSecOps tools such as GitHub, Azure DevOps, Terraform, and Bicep.
* Strong understanding of cloud-based AI platforms and large-scale data processing.
* Proven track record building models that drive measurable business outcomes.
* Experience mentoring junior Data Scientists.

Responsibilities

* Lead end-to-end machine learning and AI initiatives.
* Develop innovative Generative AI solutions.
* Rapidly prototype new concepts and use cases.
* Mentor and coach junior team members.
* Drive adoption of advanced analytics and AI solutions across the organisation.

Lead Data Scientist

Requirements

* 10+ years of experience in Data Science and Advanced Analytics.
* Strong background in predictive modelling, simulations, operations research, and algorithm development.
* Experience solving complex business and manufacturing challenges using analytics.
* Strong stakeholder engagement and business consulting skills.
* Ability to mentor and lead Data Science teams.

Responsibilities

* Lead strategic analytics initiatives and advanced modelling projects.
* Develop custom algorithms and analytical frameworks.
* Deliver insights to senior stakeholders and business leaders.
* Drive business optimisation through data-driven recommendations.
* Provide technical leadership across Data Science programmes.

Principal Data Scientist

Requirements

* 12+ years of experience in Data Science, Advanced Analytics, and Predictive Modelling.
* Expertise in advanced statistical modelling, operations research, and simulation techniques.
* Strong publication record, patents, or recognised industry thought leadership.
* Proven ability to drive enterprise-wide analytical transformation.
* Extensive experience within manufacturing or industrial environments is highly desirable.
* Exceptional communication and executive stakeholder management skills.

Responsibilities

* Define and drive Data Science strategy across the organisation.
* Lead highly complex analytics and AI programmes.
* Develop innovative methodologies and research initiatives.
* Publish research and contribute to industry-leading practices.
* Mentor senior Data Scientists and build organisational capability.

If you want to learn more about these Data Science opportunities, please send an email (preferably with a recent CV).

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