Going rate for this occupation: £55,100 · UK median pay £53,342
Home Office going rates from
Where this salary sits
UK pay for this occupation
This role£53,889 to £95,638estimated · above the range ONS published
Going rate£55,100
UK median£53,342
ONS Annual Survey of Hours and Earnings 2025, full-time gross annual pay, UK. ONS published no separate row for this region and occupation, so the national curve is shown.View these figures as a table
ASHE pay percentiles for Actuaries, economists and statisticians in UK
Percentile
Pay
10th
£36,160
25th
£41,906
50th
£53,342
75th
£74,372
Going rate
£55,100
UK median
£53,342
Sponsorship
Sponsorship chance
High
·Licensed for Skilled Worker
·Occupation is eligible for Skilled Worker
·Estimated salary is below the going rate
On the public records we hold, sponsorship for this role looks likely: licensed for Skilled Worker, and occupation is eligible for Skilled Worker.
Confidence: medium
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We read this advert for what it asks, check each line against your CV and show you the evidence for every judgement.
A leading global life reinsurer is looking to hire a Medical Analytics Manager into its R&D team, supporting the continued growth of its UK individual and enhanced annuities business.
This is a particularly interesting opportunity for someone who can combine strong analytical capability with commercial judgement and stakeholder management . The role sits at the intersection of health, medical research, data analytics and insurance, using health evidence and modelling to help shape assumptions, pricing and underwriting decisions. The business is open to candidates from either an actuarial background or a health sciences / analytics background . The role You will work on health related analytical and research projects, helping to turn complex medical evidence, data and modelling outputs into practical conclusions that can be used by pricing, underwriting and other commercial stakeholders. You will:
Manage and deliver health related analytical projects from initial scoping through to communicating results
Review and synthesise medical research and other evidence to support assumption development
Analyse health and underwriting data and interpret existing statistical models
Translate quantitative and qualitative analysis into assumptions, adjustments and commercially useful recommendations
Work closely with pricing actuaries, underwriters, medical experts, data scientists and other R&D colleagues
Explain complex technical and medical findings clearly to both technical and non technical stakeholders
Support the development of assumptions for individual and enhanced annuity business
Contribute to wider Medical Analytics research and thought leadership
This is not necessarily a role for someone whose main strength is building highly complex models from scratch . Of greater importance is the ability to understand modelling, apply judgement, interpret the results and explain what those results mean commercially. Your background There are two main backgrounds that could work particularly well. Actuarial / insurance You may be a qualified actuary with experience in areas such as:
Life insurance or reinsurance pricing
Underwriting
Mortality or longevity
Experience analysis
Assumption setting or basis development
Protection or annuities
Health or biometric risk analytics
Information from public records, not immigration advice.
The salary is an estimate from national earnings data, not the employer's figure.
Why
In favour: Licensed for Skilled Worker
eFinancialCareers Ltd is on the register with an active Skilled Worker route (Worker (A rating)).
Home Office register of licensed sponsors
In favour: Occupation is eligible for Skilled Worker
Occupation code 2433 (Actuaries, economists and statisticians) is eligible for the Skilled Worker route on the rules in force from 11 Nov 2025.
Immigration Rules Appendix Skilled Occupations
Against: Estimated salary is below the going rate
No salary is stated, so this uses an estimate of £53,889 from ASHE estimate (low end of the no seniority marker band) (1 Apr 2025). It falls £1,211 short of the going rate for occupation code 2433 of £55,100. Because that salary is estimated rather than stated, this rule counts half.
Immigration Rules Appendix Skilled Occupations
In favour: A rating on the licence
The register shows “Worker (A rating)”, the rating a licence carries when it is not on an action plan.
Home Office register of licensed sponsors
In favour: A larger employer
Companies House records accounts of category “FULL”, filed by companies above the small-company thresholds.
Companies House
Not established: The advert says nothing about sponsorship
We searched the advert for the usual wording in both directions and found none of it.
The advert itself
Home Office register of licensed sponsors snapshot
Information from public records, not immigration advice.
Approximately 3 to 6 years PQE is likely to be a sensible level, although there is flexibility for particularly relevant candidates. Experience working with pricing or underwriting teams would be especially valuable. Health sciences / analytics Alternatively, you may come from outside insurance and hold an advanced qualification such as a Masters or PhD in Epidemiology, Biostatistics, Health Data Science, Health Economics, Medical Statistics or another closely related discipline . Candidates from pharma, life sciences, health analytics, academia or medical research could all be considered. For candidates coming from a more academic or research focused background, some evidence of commercial exposure is important . The business is particularly interested in people who can bridge the gap between academic problem solving and a commercial environment. This could include experience:
Working with business or commercial stakeholders
Turning complex analysis into practical recommendations
Presenting technical findings to non specialists
Delivering work to commercial deadlines
Understanding how analytical outputs influence business decisions
Working within pharma, life sciences, consulting, health analytics or another commercially focused organisation
Relevant technical experience could include survival analysis, epidemiological or biostatistical modelling, mortality or morbidity analysis, disease progression modelling, causal inference, real world evidence, health economics or evidence synthesis. Technical skills Strong statistical programming capability is required, with R particularly relevant to the team's existing modelling environment. Strong Python experience may also be considered. You do not need to be a specialist in every modelling technique. The ability to understand existing models, interrogate results and use them intelligently is more important than being a pure technical modelling specialist. What they are looking for The strongest candidates will combine:
Strong analytical and problem solving ability
An understanding of health, mortality or medical evidence
Commercial judgement
Excellent communication skills
Strong stakeholder and project management
The ability to translate technical outputs into clear business decisions
The ideal candidate will be someone who can bridge the gap between technical or academic analysis and commercial decision making , working effectively with actuaries, underwriters, medical experts, data scientists and other stakeholders. This is a London based role, so candidates should either already be within reasonable commuting distance or be willing to relocate to the London area.