Senior Advanced Data Analytics in Belfast
Senior Advanced Data Analytics

Senior Advanced Data Analytics in Belfast

Belfast Full-Time 36000 - 60000 ÂŁ / year (est.) Home office (partial)
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PA Consulting

At a Glance

  • Tasks: Join our team to leverage data science for impactful decision-making across diverse sectors.
  • Company: Innovative consulting firm focused on ingenuity and positive human futures.
  • Benefits: Enjoy flexible working, competitive salary, health perks, and a supportive community.
  • Other info: Opportunities for continuous learning and career growth in a dynamic tech landscape.
  • Why this job: Make a real difference using advanced analytics in a collaborative environment.
  • Qualifications: Degree in data science or related field; experience in analytics and client collaboration.

The predicted salary is between 36000 - 60000 ÂŁ per year.

We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer‑centric service design, and agile engineering practices to accelerate innovation in a tech‑driven world.

Why consider joining our Digital & Data community? Join our Digital & Data team working alongside product, design and a wide range of other experts and cross‑disciplinary teams to bring ideas to life through innovative software solutions. Grow a flexible and unique career within a trust‑based, inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn’t align with what you want to do. Hybrid working – our approach is to be in the office or on client site a minimum of 2 days per week. Work on a broad variety of projects and tech stacks for clients across seven sectors – no project is ever the same. Join other experts within our supportive and collaborative tech community through knowledge‑sharing and peer‑level support, coaching and mentoring. Deepen your expertise through our culture of learning and growth – you’ll have budget to take courses (technical and non‑technical training), plus gain certifications.

We are seeking an experienced Data Science consultant to join our team. The ideal candidate will have a strong background in data science, mathematical modelling and ML, with a focus on using advanced analytics techniques to support data‑centric decision making in both public and private sector organisations. Work to agile best practices and cross‑functionally with multiple teams and stakeholders. You’ll be using your technical skills to problem‑solve with our clients, as well as working on internal projects. Live in‑person whiteboarding sessions to problem‑solve as a team, alongside asynchronous communication on Teams. Hybrid working with the team on client site or in our office a minimum of two days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site. An environment that deeply cares about its values.

We use a range of different tools and technologies depending on the specific task, these include: Data Bricks, Python, PySpark, R, Excel, Palantir Foundry and PowerBI.

Qualifications

  • A degree, Masters or PhD from a leading university in data science, mathematics, operational research, physics, or statistics.
  • Experience of conducting analysis for evidence‑based decision making, designing and developing models and conducting analysis to support data‑centric decision making.
  • Experience working with clients to translate business needs into analytical approaches and solutions, and with strong ability to communicate approaches, and findings to technical and non‑technical audience.
  • Experience of working across the full analytics and modelling lifecycle – problem formulation, exploratory data analysis, model design, build, testing and handover.
  • Experience working with common tools like Python, SQL, Excel and data visualisation solutions for modelling and analysis.
  • Experience of leading and delivering solutions that involved one or more of the following specialisms: advanced analytics and data science, algorithm design and development, developing operational research models, data engineering, big data and Cloud platforms, data visualisation or dashboard development.
  • A genuine affinity for problem solving – an inquisitive mind who wants to solve the trickiest challenges whilst working with incredible colleagues.

Some nice to haves are:

  • Excellent stakeholder management, project management and communication skills.
  • Experience working in or providing consulting and advisory services to stakeholders.
  • Experience in the software or product development lifecycle for analytical solutions, e.g. could include managing analytical solutions across the discovery, development/prototype, rollout, implementation and managed service stages.
  • Experience in the business process through client presentations and developing data and behavioural science propositions.

Please be aware that some of our UK roles at PA Consulting require a UK security clearance. All PA people are required to undergo background checks and to achieve the Baseline Personnel Security Standard, however, some UK roles also require higher levels of National Security Vetting, where applicants must have at least 5 years of continuous residency in the UK. We therefore ask that you only apply if you meet the residency requirements (i.e. you are a British citizen or have been resident in the UK for the past 5 years), as this is the prerequisite for a security clearance. If you’re unsure about your eligibility, we encourage you to review the UK Government’s guidance on security vetting before applying.

Assessment process

  • Quick call with one of our Tech Recruiters – to discuss your application, the role and PA.
  • Round 1: Either a competency or technical interview (60 mins).
  • Round 2: Either a competency or technical interview, whichever you didn’t do at first round (60 mins).
  • Final round: Meeting with a PA leader – a mini‑case study and discussion around your client‑centricity (60 mins).

Life At PA encompasses our peoples’ experience at PA. It’s about how we enrich peoples’ working lives by giving them access to unique people and growth opportunities and purpose‑led meaningful work. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world’s most complex challenges. We’re focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self.

We are dedicated to supporting the physical, emotional, social and financial well‑being of our people. Check out some of our extensive benefits:

  • Health and lifestyle perks accompanying private healthcare for you and your family.
  • 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days.
  • Generous company pension scheme.
  • Opportunity to get involved with community and charity‑based initiatives.
  • Annual performance‑based bonus.
  • PA share ownership.
  • Tax efficient benefits (cycle to work, give as you earn).

We’re committed to advancing equality. We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief, veteran status, any other range of human difference brought about by identity and experience. We welcome applications from under‑represented groups.

Adjustments or accommodations – should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on recruitmentenquiries@paconsulting.com.

Senior Advanced Data Analytics in Belfast employer: PA Consulting

At PA Consulting, we foster a dynamic and inclusive work culture that champions innovation and personal growth. As a member of our Digital & Data community, you'll enjoy flexible hybrid working arrangements, access to extensive training budgets for continuous learning, and the opportunity to collaborate on diverse projects across various sectors. Our commitment to employee well-being is reflected in our generous benefits package, including private healthcare, a robust pension scheme, and a supportive environment that values your unique contributions.
PA Consulting

Contact Detail:

PA Consulting Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Advanced Data Analytics in Belfast

✨Tip Number 1

Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.

✨Tip Number 2

Prepare for those interviews! Research the company, understand their values, and be ready to discuss how your skills align with their needs. We want to show them that you’re not just another candidate, but the perfect fit for their team.

✨Tip Number 3

Practice makes perfect! Do mock interviews with friends or use online resources to get comfortable with common questions. We can’t stress enough how being well-prepared can boost your confidence and help you shine during the real deal.

✨Tip Number 4

Don’t forget to follow up! After an interview, send a thank-you email to express your appreciation for the opportunity. It’s a small gesture that can leave a lasting impression, and we all love a bit of courtesy!

We think you need these skills to ace Senior Advanced Data Analytics in Belfast

Data Science
Mathematical Modelling
Machine Learning (ML)
Advanced Analytics Techniques
Agile Methodologies
Python
SQL
Excel
Data Visualisation
Stakeholder Management
Project Management
Problem Solving
Communication Skills
Data Engineering
Cloud Platforms

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Advanced Data Analytics role. Highlight your data science background, analytical skills, and any relevant projects you've worked on. We want to see how you can bring your unique expertise to our team!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data analytics and how your experience can contribute to our mission. Be sure to mention specific technologies or methodologies you've used that relate to the job description.

Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—show us how you've applied them to solve real-world problems. Share examples of how you've used advanced analytics techniques in past roles to drive decision-making. We love a good story about overcoming challenges!

Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to connect with us directly!

How to prepare for a job interview at PA Consulting

✨Know Your Tech Stack

Familiarise yourself with the technologies mentioned in the job description, like Python, SQL, and PowerBI. Be ready to discuss how you've used these tools in past projects and how they can be applied to solve complex problems.

✨Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled challenging data science problems. Use the STAR method (Situation, Task, Action, Result) to structure your responses, highlighting your analytical thinking and decision-making process.

✨Understand the Business Context

Research the sectors the company operates in, such as health, finance, and energy. Be prepared to discuss how data analytics can drive decision-making in these areas and demonstrate your understanding of client needs.

✨Engage in Collaborative Thinking

Since the role involves working cross-functionally, practice articulating your ideas clearly and concisely. Be ready for live whiteboarding sessions during the interview, showcasing your ability to collaborate and communicate effectively with diverse teams.

Senior Advanced Data Analytics in Belfast
PA Consulting
Location: Belfast
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