cover image
Trilateral Research

Senior Data Protection Advisor

Remote

United Kingdom

Full Time

03-03-2025

Job Specifications

Trilateral Research is recruiting for a Senior Data Protection Advisor with proven expertise and experience in relation to data protection compliance to join our Data Protection and Cyber-risk service in the United Kingdom or in the Republic of Ireland.

As part of the team, you will be exposed to some of the most interesting data protection challenges of the day, which we resolve on behalf of our varied portfolio of clients. We deliver bespoke services to public, private and third sector clients in the UK and Ireland, supranational institutions, and international organisations. As part of a multidisciplinary team, you will be supported by a network of experts in delivering services to our clients on some of the most pressing issues of the day.

If you are looking for a new challenge and you meet the essential criteria below, we would love to hear from you.

Key responsibilities
Leading and delivering outsourced DPO and DPO Assist services to clients
Undertaking large scale data protection projects for International and Supranational clients, ensuring project deliverables are of a high quality and delivered on time
Independently fulfilling data protection compliance activities such as data protection impact assessments, compliance audits, gap analysis and data mapping services
Managing client relationships and engagement activities to ensure a successful delivery of service
Writing briefs for clients on relevant topic areas, including newsletter pieces and other outreach material
Driving key improvements to internal systems, processes and client services
Contributing to strategic business development tasks, including developing proposals and bids for new projects

Skills and experience
Interpersonal skills
Essential:
Excellent written and verbal communication skills to communicate effectively with internal and external stakeholders and clients
Proactive problem-solving and analytical skills
Adaptable with a strong attention to detail

Education and experience
Essential:
An LLM, other relevant postgraduate qualification and/or CIPP/E or other data protection or information security compliance certifications
5+ years of post-qualification experience in a data protection centred role
Experience leading assessments and risk management for complex data processing activities
Experience independently leading and managing multiple projects to successful completion
Proven experience managing and fostering positive client working relationships
Experience of business development and proposal/tender writing

Desirable:
Experience of writing newsletters and outreach materials
Experience of working in large/complex organisations
Experience of working in a consultancy environment or capacity

Knowledge and technical skills
Essential:
Thorough operational knowledge of Irish and/or UK and EU data protection legislation (including GDPR/EUDPR);
Knowledge of other privacy or compliance frameworks outside of GDPR
Proven ability to analyse legislative requirements and translate into organisational practices, solutions and accessible material
Excellent project management, presentation & reporting skills

Desirable:
Knowledge of national data protection legislation for the US or other EU countries (outside of IE)
Knowledge of the Irish Health Research Regulations
Knowledge of data protection requirements relating to registries, laboratories, biobanking, clinical processing and health research processing activities
A working knowledge of cybersecurity

What else do I need to know?
Location: This position is open to candidates based in the Republic of Ireland OR the United Kingdom (remote working available with occasional site visits)
Contract type: Permanent employment contract
Start date: ASAP
Salary: Commensurate with experience
Hours: Full time
Our compensation package includes:
Competitive salary
Enhanced holiday entitlement increasing with service
Company sick pay and family friendly pay
Flexible working hours
Remote working/working from home options
Enhanced pension scheme based on service
Continuous career development

How to apply?
Please submit your CV and answer all application questions in order to have your application considered. We ask that you refrain from using Generative AI tools in your application submission. References will be required prior to appointment and candidates must be eligible to work in the country the role requires.

We are an Equal Opportunities employer and positively encourage applications from suitably qualified and eligible candidates, regardless of their age, sex, race, disability, sexual orientation, gender reassignment, religion or belief, marital/civil partnership status, or pregnancy and maternity. We are a Disability Confident committed and Living Wage employer.

At Trilateral Research, we value privacy and data protection rights. We have a longstanding data protection culture and promote robust ethical standards in data management and research ethics. Please read our Recruitment Privacy Notice in relation to our recruitment activities before submitting your application to work with us.

About the Company

Trilateral Research builds Responsible AI (RAI) products and delivers services that empower organisations to develop and deploy AI responsibly. Our products and services are grounded in over 15 years of pioneering research and methodological innovation. Our award-winning solutions tackle the most complex, sensitive social issues facing our societies today, including child safeguarding, public health improvement and climate action. These tools are complemented by specialist services in AI governance, data protection and cyber... Know more

Related Jobs

Company background Company brand
Company Name
Harnham
Job Title
Data Scientist
Job Description
Data Scientist Up to £68,000 + Benefits London (Hybrid, 1 day onsite per week) About the Role Join a leading European insurance company with a strong presence in multiple markets, including the UK. Backed by global investors, we are focused on innovation and leveraging technology to drive industry growth. Key Responsibilities Develop and enhance pricing models to ensure competitiveness in the market. Integrate new data sources and innovate on existing models to optimize tariff structures. Simulate customer behaviour, such as estimating crash probabilities or price sensitivity, to improve pricing strategies. Build predictive models that drive business growth and attract new customers. Collaborate closely with cross-functional teams to ensure your work makes a measurable impact on the business. What We’re Looking For A STEM degree (Mathematics, Physics, Computer Science, Engineering) with a first-class or strong upper-second (2:1) classification. A PhD is highly valued. Experienced in a fast-paced, analytical role. Experience in insurance or financial services is a plus but not required. We’re seeking bright, switched-on individuals who can solve problems and drive decisions through data. You must demonstrate the tangible impact of your work and understand its value to the business. Proficiency in Python is essential. Familiarity with Git or Databricks is a bonus. How to Apply Please register your interest by sending your CV to Emily Burgess via the Apply link on this page.
London, United Kingdom
Hybrid
Full Time
03-03-2025
Company background Company brand
Company Name
Information Tech Consultants
Job Title
Junior Data Scientist
Job Description
*Only Masters Degree Holders Apply* What are we looking for? Here at Information Tech Consultants Ltd (ITC) we are providing a unique opportunity for entry level Data Scientists to utilize our skills and expertise to become successful experienced Data Scientist, working with several highly recognized UK and International companies including multiple Fortune 500 and FTSE 100 Clients. You will provide professional consulting services working onsite for start-ups, medium and large sized companies. You will be working on large complex projects so you should be comfortable dealing with demanding stakeholders and providing time driven results. Innovation, Collaboration and Passion are the three core values that we look for in all our personnel. Who are we looking for: Applicants must be working Full time, Comfortable with Onsite Setting (4 days a week) and experienced working with the following: Essential Skills : Machine Learning SQL Server Knowledge of Data analysis/Mining/Warehousing Statistical Analysis Linear Regression Database Desired Skills : Experience with any of the following: Python Hadoop R Java/C++ Qualifications and Attitude: Master’s (**Required**) in Data Science, Mathematics, Statistics, Economics, IT related fields and 1-2 years of experience in Information Technology. You should be entitled to work in the UK with legal work authorization status. Must be willing to travel within the UK as per project/client requirements. Excellent communication skills and team work skills. What do we offer: While we offer an unrivalled salary, you will also have the opportunity to earn a 5-15% increase each year on top (national average is 2.5%, source- the guardian). In addition, you will also gain access to our excellent management support network. You will obtain the capabilities to think creatively, design solutions and gain vital work experience.
London, United Kingdom
Remote
Full Time
25-02-2025
Company background Company brand
Company Name
Oliver Bernard
Job Title
Data Scientist / ML Engineer
Job Description
Data Scientist / Machine Learning Engineer - Up to £75,000 - Fully Remote Salary: Paying Up to £75,000 Working Arrangements: Fully Remote EU The Company An innovative company within the AI space are looking for a Data Scientist / Machine Learning Engineer to join their small but established team. This VC backed firm are utilising Machine Learning in an industrial environment, building one of a kind products. The Role You MUST have experience with RAG pipelines and LLMs Strong academics are preferred, although they also value industry experience highly Must have fine-tuning experience Valued Technical Skills Python LLMs i.e Llama NLP AWS Streamlined Interview Process! Data Scientist / Machine Learning Engineer - Up to £75,000 - Fully Remote
United Kingdom
Remote
Full Time
03-03-2025
Company background Company brand
Company Name
Midnite
Job Title
Senior Data Engineer
Job Description
What will you do? We’re looking for a Senior Data Engineer who is passionate about making an impact in a fast-paced start-up environment. This is a full-stack data role, requiring the ability to work across all aspects of the data lifecycle, including data ingestion, data modelling, pipeline development, dashboarding, and occasional ad-hoc analysis. You’ll work autonomously on end-to-end data projects, from ingesting raw data into Apache Iceberg to building scalable data models and occasionally creating user dashboards. Given the start-up nature of the role, adaptability, initiative, and problem-solving skills are key. Our Tech Stack Our current tech stack includes Python, Docker, Dagster, dbt, Fivetran, Apache Iceberg, AWS Athena, S3, Glue, Redshift, ECS, and Looker. While familiarity with these technologies is preferred, it's not mandatory; what matters most to us is your commitment to maintaining high engineering standards. Collaboration & Leadership You'll closely collaborate with a wide variety of stakeholders including the backend, product and marketing teams, thriving in a small team environment to ensure that our data align with project objectives. Additionally, you'll provide mentorship to junior engineers, playing an active role in fostering the growth and development of the data team. Responsibilities Take ownership of end-to-end data projects, from requirements collection, raw data ingestion to final dashboarding and insights. Build, maintain, and optimise scalable data pipelines using Dagster, Python, and SQL. Design and develop complex data models aligned with industry best practices. Write, optimise, and debug SQL transformations in dbt. Ensure high standards of data quality are maintained through extensive unit testing, integration testing and data monitoring. Drive engineering best practices and mentor less experienced team members. Participate in code reviews, providing constructive feedback to maintain high standards. Stay up-to-date with industry trends and emerging technologies. Assist with the design and implementation of our data architecture. Essential Experience 5+ years of experience in a similar role, with a track record of autonomous work and impact. Start-up or small company experience – we are not looking for candidates with purely large corporate backgrounds. Strong expertise in Python and SQL. Proven experience working across the full data lifecycle, including ingestion, modelling, and visualisation. Deep understanding of engineering best practices (e.g. unit testing, writing DRY code). Hands-on experience with a modern data orchestrator (e.g. Airflow, Dagster, Prefect). Advanced knowledge of data modelling concepts and methodologies (Kimball dimensional modelling, data vault, etc.). Proficiency with dbt. Experience with Looker or a willingness to learn. Comfortable working with Git and version control workflows. Desirable Experience Experience with AWS’s data ecosystem (Glue, Athena, Redshift, S3). Experience with infrastructure-as-code (Terraform preferred) Experience delivering full end-to-end data products, including data visualisation and BI. Understanding of marketing data and attribution models (e.g. Google Ads). What’s in it for you: Shape our future: Play a key role in our team's success, where your voice matters, and you'll have a direct impact on shaping Midnite's future. Connect and unwind: Take part in our quarterly gatherings where our community comes together to bond and have fun. Comprehensive health coverage: Look after your well-being with our outstanding zero-excess health insurance plan, which includes optical and dental coverage. Simplify life: Take advantage of our nursery salary sacrifice scheme, allowing you to conveniently pay your child's nursery fees straight from your paycheck. Work-life balance: Enjoy 25 paid holidays a year, plus generous paid maternity, paternity, and adoption leave, supporting you during life's most important moments. Productive home office: We provide everything you need for a comfortable and ergonomic home setup, ensuring you're as productive as possible. Flexible working: We embrace flexible working, allowing you to adjust your schedule when life's unexpected moments arise. Latest tech made easy: With our salary sacrifice schemes, you can upgrade to the latest gadgets, household items, and mobile tech without the upfront cost. Exclusive perks: Enjoy a wide range of discounts on retailers, groceries, and subscriptions, making life a little more affordable. Grow with us: Expand your skills through internal and external learning opportunities while benefiting from access to mentorship programs that support your development. Transparent compensation: We provide competitive pay with clear team bandings and salary grids, ensuring that salary discussions are simple and fair. Constructive feedback: We foster a transparent culture, encouraging individual feedback and review sessions to help everyone improve.
United Kingdom
Remote
Full Time
03-03-2025