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Advanced Data Analytics
Data Science Consultant – London, UK
Firm
PA Consulting – Learn more
Location
London, United Kingdom 10 Bressenden Place, London, SW1E 5DN
Type
Full-time – Hybrid (minimum 2 days per week in office/on client site)
About PA Consulting
We believe in the power of ingenuity to build a positive human future.
- Our mission: Create opportunity from complexity by combining interdisciplinary expertise (strategists, innovators, technologists, and engineers).
- Our focus: Seven key sectors – defence & security, health & life sciences, financial services, transport, government/public services, energy & utilities, consumer & manufacturing.
- Global impact: 4,000+ experts operating from offices across UK, Ireland, US, Nordics, and the Netherlands.
🔹 "PA. Bringing Ingenuity to Life."
About the Role: Data Science Consultant
Why Join Our Digital & Data Team?
- Work as part of cross-disciplinary teams alongside product, design, and technical experts.
- Develop innovative software solutions to address complex business challenges.
- Own your career path: Technically focused track available—no need to pursue Partnership unless desired.
- Flexible, collaborative environment: Hybrid working model; peer mentoring and continuous learning opportunities.
- Learning investment: Budget to develop through technical/non-technical training and certifications.
- Varied clients and projects across sectors to sharpen your expertise.
Your Daily Impact
- Strengthen decision-making in public and private sector organisations through mathematical modelling, machine learning, and advanced analytics.
- Work with agile practices, collaborating with cross-functional teams and external clients on problem-solving.
- Implement end-to-end analytics, from data exploration and model design to solution handover.
Primary Responsibilities
✔ Problem-Solving: Use advanced analytics to tackle tough challenges with data-driven solutions. ✔ Client Engagement: Translate business needs into technical linguistic for non-technical stakeholders. ✔ Collaboration: Engage in live in-person sessions (e.g., whiteboarding) alongside asynchronous communication on Microsoft Teams. ✔ Tools & Tech: Leverage:
- Cloud/Big Data: Data Bricks, PySpark (Python)
- Modelling: R, Excel, Python, SQL
- Visualisation/BI: PowerBI, Palantir Foundry ✔ Agile Delivery: Work closely with teams under agile project management principles.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Requirements
Essential
✅ Education
- Degree/Masters/PhD in data science, mathematics, operations research, physics, or statistics from a leading university.
✅ Technical & Analytical Skills
- Experience conducting evidence-based analyses, designing models/trends, and supporting data-centric decision-making.
- Proficiency in:
- Writing Python (PySpark preferred), R, and Excel.
- Database/applied SQL, and data visualisation tools like PowerBI.
- Hands-on experience with big data platforms or cloud solutions.
✅ Project Delivery
- Fully managed an analytics/modelling lifecycle: from problem formulation to testing/tool handoff.
- Delivered projects involving one of the following specialisms:
- Advanced analytics/data science/machine learning
- Operational research modelling
- Data engineering/Cloud platforms
- Dashboarding/visualisation
✅ Soft Skills
- Garner a genuine affinity for complex problem-solving and an inquisitive mindset.
- Clear communicator: Translate technical findings for both technical and non-technical audiences.
- Regardless of specific skills, practise in consulting, advisory or client-facing delivery.
Desirable (Nice to Have)
- Soft Skill Elevation:
- Proven project management, stakeholder management, and client-facing consultative experience.
- Expertise in analytical solution lifecycle (e.g., Discovery, Development, Rollout, Implementation, Managed Service).
- Client Success:
- Managed presentations, data science propositions, or behavioural science implementations during engagements.
Security Clearance Note
- UK-based candidates must possess a UK security clearance (or qualify for one).
- Prerequisites:
- British citizenship or 5+ years of continuous UK residency.
- Baseline Personnel Security Standard check completed.
- Checking requirement: Consult UK Gov guidance prior to applying.


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Company Culture & Benefits
Life At PA
✊ Purposeful Work: Solve the world’s complex challenges with meaningful impact. ✦ Culture: Inclusive, collaborative, and values-driven. We embrace diverse mindsets to unlock potential. ✈ Locations: Over 40+ offices in 12 countries.
Benefits (Ensuring Your Well-Being)
🏥 Health & Wellness
- Private healthcare benefits (you and family).
- Childcare support and flexible family policies. 💼 Growth Opportunities
- 25 Days Annual Leave (+ extra HR day + Christmas Eve half-day).
- 1–5 additional days negotiable (configurable leave policy).
- Generous pension plan for retirement security.
- Performance-based bonuses and share ownership. 🔄 Lifestyle & Perks
- Cycle-to-work scheme (tax-efficient).
- Give as you earn (charitable donation programmes).
- Time-off for community/voluntary work.
Diversity, Inclusion & Equality
- We focus on ability and contributions—free from bias on age, background, disability, gender identity, race, national origin, or religion.
- champions underrepresented groups and fosters an accessible, equal opportunity workplace.
Support & Accommodations
- If assistive tools are required during recruitment/interview (e.g., accommodations for disabilities), contact: recruitmentenquiries@paconsulting.com.
Assessment Process
All interviews will be vetted based on evolving role-specific requirements. Typically involves:
- Curated Call:
- Discussion with Tech Recruiter regarding position alignment.
- Round 1: Competency OR technical interview (60 mins).
- Round 2: Alternative interview type (60 mins).
- Leadership Perspective (60 mins):
- Mini case study, interview on client-centric problem-solving.
📌 Pro bono development around your industry empathy and aptitude.
Find more insights on what it means to thrive with PA. Life At PA – PA Consulting
Ready for This Challenge?
🔹 Location: London, United Kingdom 🔹 ** Education**: Criteria mandatory from listed degrees specialisations. ⚡ Send your inquiries to: [recruitmentenquiries@paconsulting.com] // PA application portal.
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