Ai data scientist autonomous network Work, Jobs in Harwell (with Salaries)

AI Data Scientist - Autonomous Network
Capgemini —Abingdon
- Hybrid work
- Master's degree
- Machine learning
- Travel

Check out these similar jobs

Based on your search for ai data scientist autonomous network jobs.

AI Data Scientist - Autonomous Network
Capgemini —Abingdon
Open access to digital learning platforms. Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident…
Machine Learning Engineer - AI
JD.com International Limited —London
JD.com is expanding its international footprint through a digitally intelligent, cross-border supply chain and world-class logistics network, supported by…
Quick apply
11d

I want to receive the latest job alerts for ai data scientist autonomous network in harwell

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

ai data scientist autonomous network jobs near harwell

Protein Scientist jobs in London

Ai Scientist jobs in London

Ai Scientist jobs in Oxford

Data Scientist jobs in Oxford

Ai Scientist jobs in Remote

Ai Scientist jobs in Cambridge

AI Data Scientist - Autonomous Network

Capgemini -
Abingdon

Apply Now

Job details

Permanent

Qualifications

Law
Master's degree
Machine learning
Machine learning modelling
Data analytics
Telecommunication
Predictive analytics
Kafka
Data science
Root cause analysis
AI
Graph databases

Full job description

Your Role

This role focuses on applying data science, statistics, machine learning, graph analytics, and KPI engineering to enable autonomous network intelligence. The AI Data Scientist will work with network telemetry, alarms, performance counters, inventory data, topology data, trouble tickets, service data, and digital twin models to develop analytical insights and predictive intelligence for autonomous network operations.

Key Responsibilities

Analyse large-scale telecom network datasets across RAN, Core, IP, Transport, SD-WAN, Cloud, OSS, and service domains.
Develop KPI engineering models for network performance, service quality, fault behaviour, customer impact, capacity, and resilience.
Build statistical and machine learning models for anomaly detection, fault prediction, root-cause analysis, degradation detection, and proactive assurance.
Develop data aggregation, cleansing, enrichment, and feature engineering pipelines for network telemetry and OSS data.
Support digital twin analytics using topology, inventory, configuration, service dependency, performance, and fault data.
Develop graph analytics models for network topology, entity relationships, dependency mapping, service impact, and fault propagation.
Work with AI/LLM engineers to provide high-quality features, embeddings, metadata, and contextual datasets for RAG and agentic AI systems.
Define network data quality rules, correlation logic, and entity resolution methods.
Create reusable analytical models for RAN, Core, IP/MPLS, SD-WAN, fixed, and cloud network KPIs.
Support AIOps use cases such as alarm reduction, incident prioritisation, predictive maintenance, and automated root-cause analysis.
Work with OSS and inventory teams to align data models with TMF SID concepts and TMF Open API structures.
Use BigQuery or equivalent analytics platforms to process large-scale network data.
Ensure models are explainable, measurable, governed, and suitable for operational decision-making.

Your Profile

Experience in data science, machine learning, telecom analytics, network performance analytics, or AIOps analytics.
Strong Python skills for data analysis, modelling, and automation.
Strong knowledge of statistics, ML basics, feature engineering, and model evaluation.
Experience working with network KPIs, alarms, telemetry, inventory, topology, or service assurance data.
Understanding of telecom network domains including RAN, Core, IP/MPLS, SD-WAN, Transport, Cloud, or OSS.
Experience developing anomaly detection, fault analysis, predictive analytics, or KPI models.
Experience with data aggregation, cleansing, enrichment, and data quality assessment.
Experience with graph analytics, entity relationship mapping, or knowledge graph concepts.
Understanding of LLMs and how structured data can support AI agents and RAG systems.
Experience with BigQuery or similar data warehouse/analytics platforms.

Required Technical Skills

Python.
Statistics and ML basics.
Network KPI modelling.
RAN, Core, IP, SD-WAN, and Transport KPI understanding.
Fault analysis and anomaly detection.
AIOps analytics.
Data aggregation and data pipelines.
KPI engineering and feature engineering.
Inventory models.
Fault correlation.
TMF SID understanding.
BigQuery or equivalent analytics platform.
Graph APIs and graph analytics.
Digital twin analytics.
LLM understanding.

Preferred Certifications

Google Cloud Data Engineer or Machine Learning Engineer.
Azure Data Scientist or AWS Machine Learning certification.
Databricks, Snowflake, or equivalent data platform certification.
TM Forum SID, Open API, or Autonomous Networks training.

Nice-to-Have Qualifications

Experience with telecom digital twin platforms.
Experience with vector databases, embeddings, semantic search, or RAG.
Experience with streaming data platforms such as Kafka, Pub/Sub, Flink, or Spark Streaming.
Experience supporting closed-loop automation, predictive assurance, or self-healing network use cases.
Experience working with OSS systems, inventory platforms, assurance systems, and ticketing data.

If you're excited about this role but don’t meet every requirement, we stillencourage you to apply, your unique experience could be just what we need.

Make it real – what does it mean for you?

Exposure to top global companies working withCapgemini (145 of the Fortune 500 companies)
Open access to digital learning platforms
Active employee networks promoting diversity, equity and inclusion like OutFront, CapAbility or Women@Capgemini

Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:

Declare they have a disability, and
Meet the minimum essential criteria for the role.
Please opt in during the application process.

Capgemini. Make it real.

Need to know

All roles will require a level of security clearance; BPSS OR Security Clearance OR Developed Vetting.
Location: This is a permanent role with Capgemini, offering a hybrid working model. The client is based in Newbury and occasional travel to the client site will be required.
You can bring your whole self to work. At Capgemini building an inclusivefuture is part of everyday life and will be part of your working reality. We havebuilt a representative and welcoming environment, for everyone.

About Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.

Make it real | www.capgemini.com

Apply Now

Refine Your Search

ai data scientist autonomous network jobs in harwell

AI Data Scientist - Autonomous Network

Check out these similar jobs

I want to receive the latest job alerts for ai data scientist autonomous network in harwell

Explore jobs in more locations

Your Role

Your Profile

Make it real – what does it mean for you?

Need to know

About Capgemini

Jobseeker tools

Employer Tools

Browse

Stay Connected