Data Scientist

Ascent People
Manchester
6 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist 80k

Data Scientist - ML & AI Projects - Kent/Sussex Boarder

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.

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.

Job-Hunting During Economic Uncertainty: AI Edition

Artificial intelligence (AI) has become a driving force behind modern technology, transforming industries as diverse as finance, healthcare, retail, and manufacturing. From predictive analytics and natural language processing (NLP) to computer vision and generative AI, countless innovations rely on AI algorithms to solve complex problems and create new business opportunities. Despite its enormous potential, however, the AI job market can be impacted by broader economic uncertainties—recessions, investment slowdowns, or shifting corporate priorities—that lead to more selective hiring and tighter budgets. For job seekers in AI, this can mean grappling with fewer open positions, heightened competition, and extended decision-making timelines from employers. Yet, AI also remains integral to the digital future: as companies seek efficiencies through automation, data-driven insights, and sophisticated machine learning, opportunities persist even in a down market. The key is knowing how to stay visible, adaptable, and resilient when the broader environment feels unstable. In this guide, we’ll explore: Why economic volatility influences AI hiring and how this affects your job search. Proven strategies to maintain a competitive edge, even when budgets and roles shrink. Ways to refine your professional profile, emphasise relevant AI skills, and leverage networking effectively. Practical methods to stay motivated and focused, despite possible hiring slowdowns. How www.artificialintelligencejobs.co.uk can serve as your springboard for targeted AI opportunities. By combining foresight, adaptability, and a robust professional brand, you can secure a valuable AI position that propels your career forward—even during periods of economic uncertainty.

How to Achieve Work-Life Balance in AI Jobs: Realistic Strategies and Mental Health Tips

The Artificial Intelligence (AI) sector is evolving at an astonishing speed, reshaping industries that range from healthcare and finance to retail and cybersecurity. This transformation has triggered a massive demand for AI professionals—from machine learning engineers and data scientists to AI ethics specialists. With abundant opportunities and the allure of cutting-edge projects, it’s no surprise that AI is among the most sought-after career paths. Yet, behind the promise of lucrative salaries and pioneering research lies a pressing question: Is it actually feasible to maintain a healthy work-life balance in high-intensity AI roles? In a field known for demanding hours, intricate problem-solving, and perpetual learning curves, the balance between professional success and personal well-being often becomes precarious. In this article, we’ll explore real-world approaches to achieving work-life balance in the AI jobs sector. We’ll discuss why these roles can be stressful, offer realistic expectations for mental health, and provide actionable strategies for setting boundaries that protect both your career trajectory and your peace of mind. Whether you’re a seasoned AI professional or just stepping into this innovative industry, this guide will help you navigate the intensity without sacrificing your overall well-being.

Shifting from Academia to the AI Industry: How Researchers Can Harness Their Skills to Drive Commercial Artificial Intelligence

Artificial intelligence (AI) has advanced from a specialised academic pursuit to a transformative force in almost every sector—from healthcare diagnostics and autonomous vehicles to recommendation systems and creative generative models. As AI technologies continue to grow in complexity and impact, companies are looking for talent that combines deep theoretical knowledge with the ingenuity to solve real-world challenges. Increasingly, PhDs and academic researchers fit this profile perfectly. This guide will help you map out the transition from academia to industry in artificial intelligence. Whether you specialise in reinforcement learning, computer vision, natural language processing, or another AI discipline, you’ll find actionable advice on how to translate your academic strengths, adapt to commercial constraints, and excel in roles where your research insights can revolutionise products, services, and user experiences.