Data Science Lead

Manchester
5 months ago
Applications closed

Related Jobs

View all jobs

Data Science Lead / Hybrid Manchester / Up To £90,000

Data Science Lead

Data Analytics & Data Science Lead

TikTok Shop - Data Science Lead, Governance & Experience, EMEA

Associate Director, Data Science and Innovation

Senior Data Scientist

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

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.