Data Scientist

Ascent People
Manchester, England
20 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Oscar Technology London, United Kingdom
£65,000 – £75,000 pa Hybrid

Data Scientist

Franklin Bates London, United Kingdom
£55,000 – £65,000 pa Hybrid

Data Scientist

Harnham - Data & Analytics Recruitment London, United Kingdom
£45,000 – £50,000 pa Hybrid

Data Scientist

Vertical Aerospace Bristol, United Kingdom
Permanent

Data Scientist

Faculty AI London, United Kingdom
Hybrid

Data Scientist / AI Engineer

Searchability NS&D Cheltenham, United Kingdom
£45,000 – £95,000 pa On-site Clearance Required
Posted
27 Aug 2024 (20 months ago)

Description


Data Scientist – Manchester, Hybrid

Business Requirements, Analytically, Python, R, SAS, Manchester, Hybrid, 1 day a week in the office.

As a Data Scientist, you’ll work within the Data Intelligence team to understand operational problems and priorities, gather business requirements, and design and deliver solutions.

My client is a well known finance company and for this role their major initiative is Personalised Credit Matching, which uses machine learning models throughout their customer-facing platform to identify the best product offers available to customers.

You’ll be a member of a positive, forward-thinking team of data experts who deliver projects enabling the business to understand and predict business, partner, customer, and lender behaviour across all our business areas.

You will learn and grow quickly in a highly dynamic team.

Key responsibilities for the Data Scientist role include:

* Collaborate with stakeholders to gather requirements and translate them into effective Data Science projects, prioritised according to impact & business goals
* Build an effective working relationship with chosen business areas to establish a strong ongoing understanding of their working methods and how data can be used to improve these
* Produce data science analysis and insight to improve business performance. Examples of this recently include: ○ PPC channel optimisation ○ Partner opportunity evaluation ○ Customer lifetime value re-purchase insight
* Collaborate with the Product squads to ensure cross-functional dependencies are understood and alignment exists to ensure a smooth delivery
* Present findings and insights to both technical and non-technical stakeholders
* Stay current with industry trends and emerging data visualisation technologies

You’ll be experienced in understanding business requirements and how to turn these into Data Science solutions that can be used to create significant business value. You will have a track record of effective needs gathering, solution design, problem-solving and technical analytic skills. Ideally, you’ll be accustomed to working in a high throughput environment of cross-functional teams and diverse stakeholders. You will be familiar with best practice solutions for Data Science and options for automation of this where appropriate so we can focus on the valuable work over the repetitive.

Key technical skills needed for the Data Scientist role include:

* Proficiency in at least one of Python and/or R
* Demonstrable understanding of alternative analytical techniques and when to use each
* Good understanding of SQL & relational databases
* Robust data modelling and data visualisation skills
* Experience dealing with large and complex data sets

This is an excellent opportunity for a passionate Data Scientist who wants to be part of a growing organisation who will offer state of the art technologies to work with a great benefits package including an annual bonus.

Please send your CV today for immediate consideration

Here at Ascent People we are acting as an employment agency and we are committed to equality and diversity. We ensure that a job criterion is relevant to the successful undertaking of the job. We do not indirectly disadvantage any persons based on gender, age, disability, race, ethnic origin, religious belief, sexual orientation, or social status.

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.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.