
Morson Talent
About the Company
With a unique 50-year heritage of innovative recruitment, Morson Talent is a business with unrivalled sector knowledge, trusted relationships, highly skilled expertise and a consistent personal approach that our clients, contractors, candidates and employees continue to value. You will find our influence and people across a number of sectors; aerospace, automotive, construction, IT & digital, manufacturing, maritime, nuclear, professional services and rail.
We are innovators with people at our heart, we sit processes and technology around our people to deliver smarter solutions, better experiences and successful outcomes.
Our independence and depth of offer means that we think and operate differently; giving you access to the right people at the right time, we listen, understand and develop solutions for you. We combine specialist expertise to bring unrivalled flexibility, with the commercial agility and a willingness to go the extra mile that you would expect from a family-formed culture.
We are people who love working with people.
We are ambitious for you.
We care.
It’s our specialist expertise that people come for and it’s the personal experience that they stay for.
Welcome to Morson Talent, placing people first.
Morson Talent is part of the diverse Morson Group who has an outstanding reputation for delivering consultancy, design, technology, training, screening and people solutions around the world. Our group of connected businesses comprises of Morson Talent, Morson Projects, Vital, Human Resources, Anderselite, The Bridge IT and Waldeck.
Listed Jobs


- Company Name
- Morson Talent
- Job Title
- SOC Analyst
- Job Description
-
Our Client:
Is a large utility provider to over 8 million customers across London and South of England. Currently they are undertaking a companywide cyber transformation project to meet and overcome the ever-evolving cyber threats they face.
Your Role:
In this position you will be part of a growing team within the security function coverage Information Systems. You will carry out level 2 analysis into events and alerts to ensure internal systems and customer data are protected.
This role can offer hybrid working arrangements, allowing you to work from home two days of your week following your probation.
Responsibilities:
Monitor and evaluate cyber security events and alerts using a variety of security tools.
Respond to cyber security incidents, including internal and external threats.
Review basic threat intelligence and indicators of compromise to search for known cyber threats.
Recommend improvements to security event detection and mitigation strategies.
Essential Experience:
Significant experience working as a Level 2 SOC Analyst where you have responded to events and alerts to resolve issues independently to a successful conclusion.
Knowledge of compliance and regulatory frameworks such as National Cyber Security Centre (NCSC) Cyber Assessment Framework (CAF) and ISO/IEC 27001/27002, GDPR.
Knowledge of SIEM and SOAR solutions, Identity and Access Management and Data Loss Prevention tools and technologies
Proficient in one of the following - Endpoint operating systems, Core networking principles, Infrastructure security devices or Anti-virus, anti-malware, ransomware, data leak protection
Benefits:
Bonus scheme
Training and development programme
10% company contribution pension
Huge range of company discounts
Next Steps:
To arrange a call to discuss this position in more detail please apply or email your CV to Toby.Rodwell@morson.com


- Company Name
- Morson Talent
- Job Title
- Data Analyst
- Job Description
-
Position Title:
Data Analyst
Contract Duration:
12 months
Location:
Three days per week on site, two days remote working
Overview:
My client is seeking a skilled Data Analyst to support a new project. The role will involve utilising AI and data analysis tools to improve service efficiency, compliance, customer satisfaction, and operational processes by leveraging rich text data. The successful candidate will play a vital role in enhancing business processes and maximising incentive revenue.
Key Responsibilities:
Analyse large datasets using AI to extract insights and improve business processes.
Develop AI models to categorise free text data across key business areas such as customer comments, job notes, and fault resolutions.
Collaborate with business stakeholders to validate use cases, document requirements, and ensure delivery of solutions.
Automate review and classification of small service jobs to improve compliance and quality assurance.
Conduct sentiment analysis on customer comments to identify positive and negative experiences and improve customer satisfaction.
Use AI to optimise fault resolution processes and enhance operational efficiency.
Ensure regulatory compliance by validating documentation for planned shutdowns.
Key Competencies:
Data Translation Skills: Ability to translate business problems into actionable data models and insights.
Strategic Decision-Making: Ability to drive data-led decisions balancing short-term and long-term business needs.
Influential Communication: Capable of explaining technical concepts to both technical and non-technical audiences.
Organisational Navigation: Skilled in building consensus and managing competing priorities.
Technology Agility: Ability to adapt to emerging tools and technologies quickly.
Change Catalyst: Identifying impactful changes and making evidence-based recommendations.
Deliverables:
Development and deployment of AI models for data categorisation and sentiment analysis.
Optimisation of fault resolution processes.
Automation of small services job reviews.
Documentation and reporting of project milestones and outcomes.
Backlog analysis and prioritisation of future use cases.
Essential Skills & Experience:
Strong experience in data analysis using Python, SQL, and PowerBI.
Experience with data modelling, warehousing, and ETL processes.
Excellent communication skills with the ability to engage both technical and non-technical stakeholders.
Knowledge of large language models (LLMs) for analysing textual data is desirable.
Familiarity with prompt-based AI techniques, context chunking, and few-shot learning is advantageous.