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Job Title: Data ScientistOverview

We are seeking a versatile Data Scientist with strong expertise in model development, segmentation, and optimisation. The ideal candidate is adaptable, able to approach new problems with curiosity, and apply the right methods or classifiers to deliver impactful solutions. Experience in revenue management, pricing, or business operations is highly desirable.

Responsibilities

Develop, test, and optimise predictive and classification models.

Work across multiple data science methods and techniques, applying the best approach to each problem.

Translate complex business challenges into data-driven solutions.

Collaborate with stakeholders across technical and business functions.

Contribute to both Data Science and ML Engineering efforts, treating them as complementary disciplines.

Requirements

Proven experience as a Data Scientist, with a broad range of methods and classifiers.

Strong background in segmentation, model development, and optimisation.

Ability to quickly learn and apply new techniques to novel problems.

Advanced degree preferred (PhD nice to have, Master's or strong Bachelor's accepted with solid experience).

Domain experience in revenue management, pricing, or business operations is a plus.

GCS is acting as an Employment Business in relation to this vacancy.

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Job Title: Contract Data Scientist - Scaling Tech Client (Outside IR35)
Location: Remote (UK-based)
Rate: £450-£550/day
Start Date: ASAP
Contract Length: 12 months (initial)
IR35 Status: Outside IR35

Overview:
I'm supporting a rapidly growing tech client that's kicking off a high-impact data project and looking to bring on a contract Data Scientist to join the team. This is a hands-on role focused on building models and extracting insights from complex datasets, with a strong emphasis on experimentation, iteration, and delivery.

The environment is fast-paced but collaborative, and you'll be working alongside experienced data engineers, product managers, and domain experts.

Key Responsibilities:

Develop, validate, and deploy statistical and machine learning modelsPerform deep-dive exploratory analysis to uncover trends and opportunitiesCollaborate with cross-functional teams to define data-driven solutionsPresent findings and recommendations to both technical and non-technical stakeholdersHelp shape data science best practices within the team

Ideal Background:

3+ years' experience in Data Science rolesStrong Python and SQL skillsExperience with real-world ML applications (classification, regression, NLP, etc.)Solid grasp of statistics and data storytellingComfortable working in cloud-based environments (AWS, GCP, or Azure)

Bonus Points For:

Experience in healthcare, fintech, or SaaS platformsFamiliarity with MLOps tooling (e.g. MLflow, SageMaker, Vertex AI)Working with sensitive or regulated datasets

GCS is acting as an Employment Business in relation to this vacancy.

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We are looking for a Senior Data Scientist to join the AIOps team. In this role, you'll focus on applying machine learning and data science techniques to large-scale monitoring and alerting data-ensuring smooth, reliable video streaming experiences for millions of users.

This position is ideal for someone with a strong foundation in machine learning, and time series analysis, particularly in the context of IT operations, logs, and system performance data.

Key Responsibilities:Analyze large-scale monitoring data (logs, alerts, metrics) to identify system anomalies and predict issues.Build and deploy ML models (regression, classification, clustering) to improve alert accuracy and reduce noise.Perform time series analysis for proactive incident forecasting and event correlation.Work closely with IT Ops and DevOps teams to improve observability and operational response.Utilize Python or R to connect to various backend databases and work with raw data sources.Translate complex technical data into actionable insights for engineering and business teamsRequired Experience:5+ years of professional experience as a Data Scientist3+ years with direct AIOps experienceStrong proficiency in Python or R.Expertise in machine learning (regression, classification, clustering).Solid background in anomaly detection, time series analysis, and monitoring data.Experience working with infrastructure data (logs, alerts, system metrics).Ability to work with multiple database types and perform backend data analysis.Familiarity with AIOps tools and SRE/observability concepts.Nice to Have:Experience in video streaming or media platforms (e.g., understanding of buffering, video playback issues, etc.).Knowledge of AIOps platforms (e.g., New Relic, Prometheus).Experience with NLP for log analysis.Background in deep learning or predictive maintenance models.

This role is 100% remote

Apply now with your resume or email us directly at [email protected]

GCS is acting as an Employment Business in relation to this vacancy.

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