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EY

Behavioral Science Specialist - Supervising Associate

Manchester
$92.6k – $173.1k/yr
Posted 13 days ago
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Behavioral Scientist – EY

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

The Opportunity

The Behavioral Scientist will apply advanced behavioral science, psychometrics and quantitative/qualitative research methods to design, analyse and interpret complex talent and employee experience data. This key role develops scientifically rigorous insights informing strategic talent decisions, workforce interventions and organisational effectiveness initiatives. Expertise in organisational research methodologies, predictive/prescriptive modelling and statistical programming is essential. You’ll partner with Talent Insights & Analytics, Employee Listening, and senior Talent stakeholders to translate research findings into evidence-based recommendations, driving EY’s analytical maturity through rigorous methodologies and scalable models.

Primary Responsibilities

Analytical Research & Strategy

  • Design and execute applied organisational research using robust quantitative methodologies (e.g., experimental, quasi-experimental, longitudinal designs)
  • Lead advanced data analysis of employee listening/experience datasets via SQL, R and/or Python
  • Apply predictive/prescriptive modelling (e.g., regression, multilevel models, ML, optimisation) to tackle talent/workforce challenges
  • Develop psychometric models (scale validation, factor analysis, reliability/validity checks, measurement invariance testing)
  • Integrate multi-source data (surveys, experience, talent, operational) for holistic, defensible insights
  • Translate complex findings into clear narratives for senior Talent/business stakeholders
  • Define success metrics/evaluation criteria for talent interventions

Methodological & Framework Development

  • Establish standardised research frameworks to ensure rigour and scalability across Talent Insights & Analytics
  • Partner with Talent IT/data engineering teams to optimise data structures/access for analytical readiness
  • Monitor emerging trends in behavioural science, psychometrics and people analytics to enhance capabilities

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.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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.

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It 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.

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Strong

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.

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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.

Stakeholder Collaboration & Knowledge Share

  • Act as SME thought partner to Talent Insights & Analytics, guiding research design/analytics
  • Provide coaching/technical guidance to colleagues on data-driven problem-solving
  • Build trusted relationships through integrity, challenge and supportive team dynamics
  • Influence prioritisation/design of organisation-wide Talent analytics efforts

Knowledge, Skills & Requirements

Essential

  • Ph.D. (strongly preferred) in Industrial & Organisational Psychology, Organisational Psychology, Behavioural Science, Statistics or related quantitative fields
  • or a Master’s with substantial applied research (e.g., 5+ years’ experience)
  • Expertise in:
    • Organisational research (experimental design, causal inference, applied stats)
    • Psychometrics (scale construction, validation, measurement theory)
    • Statistical programming (SQL, R, Python—data extraction, modelling, analysis)
    • Predictive/prescriptive analytics (ML, advanced regression, optimisation)
    • Collaboration in global, matrixed environments with Talent/HR data teams
    • Data storytelling & communication (simplifying insights for non-technical audiences)
  • Ability to:
    • Operate independently handling ambiguity in fast-paced settings
    • Demonstrate business acumen (aligning research with talent/organisational strategy)
    • Boast strong written/verbal communication (global/culturally inclusive mindset)

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Preferred (not mandatory)

  • Professional certifications (e.g., Society for Industrial & Organisational Psychology*)
  • Experience in global consulting environments

Experience Expectations

✔ Applied organisational research in business/consulting/settings ✔ Large-scale employee listening/data management (analysis + storytelling) ✔ Psychometric development (validity/reliability testing of organisational tools) ✔ Multidisciplinary collaboration (Talent/HR, data engineers, vendors) ✔ Translation of complex findings into actionable business strategies


What We Offer

Compensation & Benefits

  • Base salary range (US, full-time):
    • $92,600 – $173,100 (nationwide)
    • $111,100 – $188,900 (NYC Metro, WA, California environs)
  • Total Rewards Package:
    • Medical/dental/pension plans
    • 401(k) plan + quarterly EY contributions
    • Flexible paid time off (personalised leave policies)
    • 10–15+ PTO days annually (self-determined vacation time)
    • Holiday/break policies (Winter/Summer, personal/family care)

Cultural & Growth Opportunities

  • Hybrid work model: 40–60% office attendance (client-facing roles)
  • 24/7 wellness support (physical/emotional/financial)
  • Prudent work-life balance rooted in trust-based culture
  • Skill development through global partnerships + future-readiness programs

Notes & Policies

  • Applications accepted on-going basis
  • Flexibility may require alternative hours
  • Exclusive to California: Additional Terms
  • Inclusion & Ethical Standards: EY upholds highest integrity; candidates must reflect these values.

Come build a direction. Be EY.

EY | Trust | Advisory | Capital | Human Capital Services | Strategy & Transactions Focused on social/planetarygood—https://www.ey.com/en_gb (LinkedIn | Nuwifi)

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Skills

Behavioral Science
Organizational Psychology
Statistical Programming
Predictive Modeling
Prescriptive Modeling
Psychometrics
Data Analysis
SQL
R
Python
Data Storytelling
Machine Learning
Causal Inference
Scale Development
Reliability Assessment
Validity Assessment

Location

Manchester, England, United Kingdom

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