Data Science Lead

Manchester
1 year ago
Applications closed

Related Jobs

View all jobs

Data Science Lead & ML Strategy Architect

Data science programme lead

AI & Data Science Lead: Gen AI & Analytics

Telematics Data Science Lead

Informatics Data Science Lead

Informatics Data Science Lead - Manufacturing & NPI

Who we are in a nutshell.

At BES Group, we pride ourselves on being the leading end to end risk management solutions provider in the UK and Ireland. That means it’s our job to help keep our customers assets’ legally compliant, operational and, above all else, safe. And we do this with a team of the very best people, simple.

We have an exciting opportunity for a Data Science Lead to join our Data Analytics Team. The role will be focused on supporting the development of the business and providing specialist technical support and focus from the commercial insights gained from our data.

What will you be doing?

With the recent acquisitions into BES Group, there is lots happening across the business. The Data Science Lead will be working with key stakeholders across the business, developing our data capability and utilising this data to inform further Operational, Sales, and Pricing decisions.

You will:

Work closely with the data teams to ensure accuracy of data which you will then use to inform pricing and operational actions

Transform multiple data sets into actionable insights that drive efficiency, profitability, and innovation

Analyse financial impact of commercial data whether it is through pricing activity and / or operational variances

Build data capability and use of Machine Learning tools to drive valuable insights and create business improvements and wider opportunities

Manage and supervise a highly productive data analytics team

Develop systems knowledge and understanding in order to deliver the highest quality of customer service

Manage customer interactions in an efficient, courteous and timely manner to achieve a high standard of customer satisfaction and build great relationships, both internal and external

Plan and manage your own workload, taking into account changes in customer and business priorities

As part of our team, you will get:

A starting salary between £75,000 – £90,000 depending on experience

A flexible working approach, the role will be based in our Manchester city centre office, with some home based working available (you must have suitable Wi-Fi, and provide your own office set-up for time spent working from home)

Up to 10% pension contribution

2 x life cover

Enhanced maternity / adoption leave

Annual salary review

25 days annual leave plus bank holidays

An additional day’s holiday for your birthday every year

Access to our buy and sell holiday scheme

Electric Vehicle salary sacrifice scheme

Discounts and savings via our employee benefits portal

Health and wellbeing support via our Employee Assistance Programme

Company-wide volunteering scheme

Guaranteed fundraising support for your chosen charity

To join our team, you will need: 

Experience working with and analysing data, with confidence in drilling down into the detail

Knowledge of statistical methodologies and data analysis techniques and understanding of databases, as well as SQL

Knowledge of data visualisation tools such as Power BI for creating compelling visual narratives

Strong leadership experience and demonstrable ability to manage a high performing team

Experience presenting to leaders up to executive level, with the ability to present analysis in a visually appealing way that simplifies complex data

A strong understanding of various types of commercial datasets

A good understanding of contracts and service agreements

Excellent numerical, data manipulation and analytical skills to process large datasets and extract meaningful trends

Strong communication skills in order to convey complex analytical concepts to both technical and non-technical stakeholders

High-level interpersonal and relationship building skills, with the ability to liaise with colleagues and stakeholders at all levels, both internally and externally

Research skills for gathering information from various sources

Attention to detail as you may be dealing with large data sets

Problem-solving skills and a flexible approach to work

Excellent attention to detail

A Bachelor’s or Master’s degree in a relevant field (i.e. Statistics, Economics, Finance, Mathematics, Business Analytics, or other data related courses)

We want you to be you

Our focus on diversity, equality and inclusion is here to stay. 

Our team is made up of some of the most skilled and talented people and that’s what matters to us. At BES Group, we want our people to know that they can be their true authentic selves at work, it really is that simple.

What’s more, we’re a Real Living Wage employer across our complete business and we are delighted to have pledged our commitment to the military community by signing the Armed Forces Covenant.

Go for it!  Research suggests that some people tend to only apply for roles if they meet all requirements. If you don't meet every point above, but still feel like you could really help make a difference in this role, please apply, you might be exactly what we’re looking for.

To apply for this role, simply click ‘Apply’. We ask for some basic contact information and a CV or your LinkedIn profile, it’s that easy! Please note, successful candidates will be required to complete the relevant background checks as part of the recruitment process. 

BES Group, where our people and our customers come before everything else

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.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.