Paritas Recruitment

About the Company

Paritas Recruitment is a specialist Audit (Business & IT), Risk (Credit, Market, Operational, Quantitative, Regulatory), Compliance and Data Engineering, Data Science, Machine Learning and Technology recruitment agency established to offer our clients and candidates a more personalised and effective service.

Our skilled and experienced team of Directors and Consultants recruit across the whole financial services sector, e-commerce, consultancy, healthtech, oil & gas, retail, artificial intelligence, technology and more.

If you are seeking a career change or just advice, we are more than happy to offer you our years of recruitment experience to advise and direct you as best we can, as well as outlining a range of interesting market opportunities.

Listed Jobs

Company Name

Paritas Recruitment

Job Title

Lead Data Scientist - Energy

Job Description

Job Title: Lead Data Scientist – Energy Role Summary: Lead and innovate data science initiatives in an energy trading context, driving the design, development, deployment, and ongoing maintenance of machine learning models that optimize trading strategies and decision support systems. Work collaboratively with engineering and business stakeholders to translate complex problems into actionable, production-grade solutions. Expectations: - Deliver end-to-end data science solutions within a high‑velocity trading environment. - Lead cross‑functional teams, ensuring clear communication of analytical insights and model outcomes. - Mentor junior data scientists and facilitate knowledge sharing. Key Responsibilities: 1. Build, test, and deploy scalable machine learning and statistical models for trading and commercial optimization. 2. Collaborate with data engineers and software developers to integrate models into enterprise production pipelines. 3. Conduct exploratory data analysis, feature engineering, and model validation to provide actionable insights. 4. Own the full data science lifecycle—from hypothesis formation and rapid prototyping to production rollout and post‑deployment monitoring. 5. Develop GenAI/LLM‑driven applications, documenting use cases and presenting results to technical and non‑technical audiences. 6. Write maintainable, well‑documented code and review code from peers, maintaining high code quality in complex systems. 7. Participate in technical reviews, architecture discussions, and continuous improvement initiatives focused on value delivery. Required Skills: - Proficient in Python (or equivalent object‑oriented language such as Java) for data science, model development, and production tooling. - Strong foundation in statistics, machine learning algorithms, and advanced mathematical concepts. - Experience deploying production‑grade models in complex, data‑intensive environments, preferably in trading or finance. - Advanced SQL expertise for data extraction, transformation, and performance optimization. - Familiarity with modern data science tooling, including large language models (LLMs), retrieval‑augmented generation (RAG), and other generative AI frameworks. - Excellent written and verbal communication; adept at conveying technical concepts to diverse audiences. - Comfortable with technical interview formats (live coding, OOP design, SQL challenges). Required Education & Certifications: - Bachelor’s degree or higher in Computer Science, Applied Mathematics, Statistics, Engineering, or related quantitative field. - Industry‑recognized certifications (e.g., Certified Analytics Professional, AWS Certified Machine Learning – Specialty) are a plus.

London, United kingdom

Hybrid

Senior

05-01-2026

Company Name

Paritas Recruitment

Job Title

Data Scientist

Job Description

Job Title: Data Scientist – Trading (Inside IR35 Contract) Role Summary: Design, develop, and production‑grade data science solutions for oil & gas trading, collaborating with data engineers, software engineers, and business stakeholders to deliver actionable insights. Expectations: - Deliver scalable, reusable data science products within complex environments. - Translate business needs into analytical solutions and communicate results clearly. - Maintain high code quality, documentation, and reproducibility. Key Responsibilities: - Build and maintain statistical and machine‑learning models in Python or Java. - Prototype, test, and productionize data science workflows with data engineers and software engineers. - Perform advanced SQL queries to extract, transform, and analyze large datasets. - Apply modern data‑science tools (LLMs, RAG, etc.) across the data lifecycle. - Produce business‑driven insights and present findings to stakeholders. - Document modeling processes, assumptions, and results. - Collaborate closely with cross‑functional teams (data scientists, data engineers, business managers). Required Skills: - 5+ years of professional data science experience. - Proficiency in an object‑oriented language (Python, Java). - Deep understanding of statistics and machine‑learning theory. - Advanced SQL knowledge. - Experience with LLMs, Retrieval‑Augmented Generation, or similar tools. - Strong written and verbal communication skills. - Customer‑centric, pragmatic mindset focused on value delivery and rapid execution. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, or related field. - Relevant certifications (e.g., Microsoft Certified: Azure Data Scientist Associate, TensorFlow Developer Certificate) are a plus.

London, United kingdom

Hybrid

Mid level

05-01-2026

Company Name

Paritas Recruitment

Job Title

Security Lead - Tech Solutions

Job Description

**Job Title** Security Lead – Incident Response, Threat & Vulnerability Management **Role Summary** Lead cybersecurity defence for a critical public‑sector programme on a 3‑month contract (likely extendable). Owns incident response, threat intelligence, and vulnerability management, driving improvements in monitoring and posture across enterprise systems in fast‑moving environments. **Expectations** - Demonstrated hands‑on leadership in incident response, threat & vulnerability management. - Proven ability to operate under pressure in high‑risk or government‑regulated settings. - Strong analytical, investigative and decision‑making skills. - Clear, confident communication with senior stakeholders and multidisciplinary teams. **Key Responsibilities** 1. Direct incident response and triage: investigate, contain, and resolve security incidents. 2. Lead threat intelligence workflow: collect, analyze, and correlate alerts into actionable insights. 3. Design and refine security monitoring and alerting strategies. 4. Own vulnerability management lifecycle: identify, assess, prioritize, and drive remediation. 5. Collaborate with technical and operational teams to strengthen overall security posture. 6. Provide leadership, direction and mentoring to a multi‑disciplinary security team. **Required Skills** - Incident Response (forensics, containment, recovery) - Threat Management & Attack‑Pattern Analysis - Vulnerability Management (scanning, assessment, patching) - Security Monitoring, SIEM configuration - Familiarity with Recorded Future, OpenCTI, Cribl, Splunk - Strong analytical and investigative abilities - Decision‑making under time pressure - Leadership and team coordination - Executive‑level communication **Required Education & Certifications** - Bachelor’s degree in Computer Science, Cybersecurity, Information Assurance or related field. - Certifications highly preferred: CISSP, CISM, CGC, CRISC, or equivalent; alternatives: CompTIA Security+, CEH, or similar. ---

London, United kingdom

Hybrid

Senior

17-01-2026

Company Name

Paritas Recruitment

Job Title

Full Stack Engineer

Job Description

Job Title: Full Stack Engineer (Java) Role Summary: Design, develop, and deliver end‑to‑end software solutions using Java and Spring Boot within an Agile environment. Act as a technical lead, ensuring high quality, scalable architecture and adherence to engineering best practices. Expectations: • Own feature development from user experience to backend services. • Collaborate with cross‑functional teams to define technical requirements and solutions. • Maintain code quality through reviews, testing, and documentation. • Continuously improve processes and adopt modern technologies. Key Responsibilities: - Architect and implement scalable, efficient software components. - Build and integrate front‑end and back‑end features. - Collaborate with engineers, architects, and stakeholders to deliver new functionality. - Conduct code reviews and enforce high engineering standards. - Diagnose and resolve complex technical issues. - Promote continuous improvement and modern technology adoption. Required Skills: - Strong commercial experience with Java and Spring Boot. - Solid understanding of microservices architecture. - Experience in Agile delivery practices. - Proficient problem‑solving and communication abilities. - Ability to work effectively in a team and independently. Required Education & Certifications: - Bachelor’s degree in Computer Science or related field (preferred).

London, United kingdom

On site

19-01-2026