Actuarial Consultant

Cheltenham
9 months ago
Applications closed

Related Jobs

View all jobs

Insurance Business Data Analyst

Actuarial Data Scientist

Actuarial Data Scientist

Claims Data Strategy Lead

Senior Data Architect

Lead Data Scientist

Our services are designed to support trustees and employers by delivering pragmatic advice which brings clarity to complex issues such as investing assets, de-risking, longevity, risk management and the impact of legislative changes. We undertake a range of services for clients including full-service actuarial consulting, investment consultancy and standalone projects such as mergers and acquisitions. 

We are seeking an Actuarial Consultant to join our team based in our Cheltenham office on a hybrid working basis between home and the office. This is an exciting opportunity for a more recently qualified actuary, or a part qualified actuary who is working toward qualifying as an actuary with 2 - 3+ years experience. 

We also have opportunities for our Bristol, Leeds, Liverpool, Manchester or Glasgow office. 

The role is suitable for members of an actuarial team that are keen to pursue a consulting role and may include those working toward qualifying as an actuary with a view to ultimately working towards being a Scheme Actuary or Corporate Actuary. We offer excellent progression opportunities through to Partner.

DB pensions experience is essential.

Snapshot of your day:

Calculate complex individual member calculations, check straightforward calculations and progressing to checking more complex calculations

Undertake the bulk of the calculations for an actuarial valuation

Reviewing draft client reports and advice and draft member communications

Working with a Client Account Manager to assess the objectives and requirements of the organisation seeking advice

Aim to become a Client Account Manager for a number of clients and starting to take on a number of Client Account Manager duties

Attend client meetings and take an active role where applicable

Supporting various types of client projects and working with our corporate team on a wide range of areas

General consultancy, dealing with clients’ and third party queries and day to day correspondence providing technical advice where needed

Client management, taking responsibility for allocation and completion of work, and meeting deadlines, working directly with senior members of the client teams

Design and management of surveys and using statistical techniques in order to analyse and interpret the quantitative data collected

Use of a variety of techniques and theoretical principles to establish probability and risk in respect of areas such as pensions

Assist with developing the practice area services (for example, Experian reviews), assist in developing procedures/tools to extend the range of the practice areas work/services and assist in producing practice area newsletters and marketing material

Research new and/or technical topics and report back to the team

Check work of others and help with more recent new graduates/colleagues and training and developing junior members of the team

We would love to hear from you if you have:

Actuarial qualifications FIA / FAA or if training to be a qualified FIA / FAA, part-qualified and making progress through the exams

Good IT skills and presentation skills

DB pensions experience or a solid understanding of the basics of pensions

What’s in it for you:

Competitive discretionary annual bonus

Generous pension scheme (8%)

Core benefits for you including private medical cover, life assurance (x4 - x10), group income protection (65%), and up to 30 days holiday per year with holiday trading

A comprehensive range of voluntary benefits to suit you (and your family) including an electric car leasing scheme, tech scheme, cycle to work scheme, dental cover, healthcare cash plan, health assessments, critical illness cover, Sports Allowance – we pay up to 50% of your gym/sports membership (up to £50 pm), travel insurance, paid volunteering, and a broad range of retailer discounts

For a full list of benefits, please click

Not quite the right opportunity for you this time? 

For more about us and other Careers at BW, please click  

Follow Barnett Waddingham on

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.