Advanced Data Analytics

Advanced Data Analytics

Full-Time 36000 - 60000 ÂŁ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Join our Digital & Data team to create innovative software solutions and support data-driven decision making.
  • Company: PA Consulting, a global leader in tech-driven innovation and strategy.
  • Benefits: Enjoy flexible working, competitive salary, health perks, and opportunities for professional growth.
  • Why this job: Make a real impact by solving complex challenges with cutting-edge technologies and a collaborative team.
  • Qualifications: Degree in data science or related field; experience in analytics and problem-solving.
  • Other info: Inclusive culture with a focus on personal development and community engagement.

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.
  • 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.

What you can expect:

  • 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.
  • 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.
  • 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.

Additional Information:

  • 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. 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 underrepresented 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.

Advanced Data Analytics employer: PA Consulting

At PA Consulting, we foster a dynamic and inclusive work culture that champions innovation and personal growth. Our Digital & Data community offers a unique opportunity to collaborate with diverse experts on impactful projects while enjoying flexible hybrid working arrangements. With a strong commitment to employee well-being and continuous learning, we empower our team members to thrive in their careers and make a meaningful difference in the world.
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Contact Detail:

PA Consulting Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Advanced Data Analytics

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Prepare for those interviews! Research the company, understand their projects, and be ready to discuss how your skills align with their needs. Practise common interview questions and think of examples that showcase your problem-solving abilities.

✨Tip Number 3

Show off your skills! If you’ve worked on relevant projects, create a portfolio or GitHub repository to demonstrate your expertise. This is especially important in data analytics where practical experience speaks volumes.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.

We think you need these skills to ace Advanced Data Analytics

Data Science
Mathematical Modelling
Machine Learning (ML)
Advanced Analytics Techniques
Agile Best Practices
Python
SQL
Excel
Data Visualisation
Stakeholder Management
Project Management
Problem Solving
Communication Skills
Analytical Approaches

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the Advanced Data Analytics role. Highlight your relevant experience in data science, mathematical modelling, and any specific tools mentioned in the job description. We want to see how your skills align with our needs!

Showcase Your Problem-Solving Skills: In your application, don’t just list your qualifications; share examples of how you've tackled complex challenges in the past. We love candidates who can demonstrate their analytical thinking and creativity in problem-solving.

Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language and avoid jargon unless it's relevant. We appreciate clarity, as it reflects your ability to communicate effectively with both technical and non-technical audiences.

Apply Through Our Website: We encourage you to submit your application directly through our website. This ensures that your application is seen by the right people and helps us streamline the process. Plus, it’s super easy to do!

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 your analytical skills can translate into actionable insights for clients in these areas, demonstrating your ability to bridge the gap between technical and non-technical audiences.

✨Engage in Collaborative Scenarios

Since teamwork is key, think about how you can contribute to cross-disciplinary projects. Be ready to discuss your experience working with diverse teams and how you approach collaboration, especially in agile environments.

Advanced Data Analytics
PA Consulting
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