Data Scientist – PwC | Visa Sponsorship Available

HipHopTune Media
Manchester
1 week ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist - Remote

Data Scientist/Statistician

Data Scientist - Gen AI - Remote

Data Scientist - Gen AI - Remote

Data Scientist - Gen AI - Remote

Are you a data-driven problem solver with expertise in machine learning and data manipulation? PwC is looking for a Data Scientist to join its innovative team. This role requires hands-on experience with machine learning techniques and proficiency in data manipulation libraries such as Pandas, Spark, and SQL.

As a Data Scientist at PwC, you will work on cutting-edge projects, using data to drive strategic insights and business decisions. If you have strong analytical skills and a passion for turning complex datasets into actionable solutions, this opportunity is for you.

PwC offers visa sponsorship, making this an excellent opportunity for talented professionals seeking to advance their careers in a leading global firm.

About PwC

PwC is a global professional services firm dedicated to building trust in society and solving important problems. This commitment shapes the services it offers and the decisions it makes. More than just size or short-term revenue growth, PwC prioritizes genuine leadership and long-term impact.

Founded in 1849 by Samuel Price as a sole trading accountant, PwC has grown into a leading professional services firm, with a diverse community of 370,000 professionals across 149 countries. The firm continuously evolves, embracing innovation and transformation while maintaining trust and quality at its core. With a history of excellence, PwC remains a human-led, tech-powered business, ready to help clients navigate the challenges of the future.

Position:Data Scientist

Job Type:Full Time

Location:London, Birmingham, Leeds and Manchester

About the Role

Line of Service:Internal Firm Services

Specialism:IFS – Internal Firm Services – Other

About the role:The AI and Emerging Technologies team identifies and develops AI solutions that solve hard problems for PwC and for its clients. Our team works at the frontier of AI and ML in professional services. We work across multiple industries, including healthcare, financial services, and professional services.

We are looking for people to contribute to the development of AI tools and solutions, and help the business build capabilities on cutting-edge AI and NLP techniques. We’re currently looking for a motivated, self-starter individual, comfortable with ambiguity, and willing to work in a cross-functional environment, with 2+ years of experience in data science, to join us across our Manchester, Leeds, Birmingham, and London offices.

What your days will look like:

  • Solution Development:Contribute to designing, developing and scaling AI and NLP solutions addressing specific business problems or opportunities.
  • AI Strategy:Contribute to the organisation’s AI strategy by identifying opportunities for leveraging AI technologies to drive innovation, improve business processes, and enhance decision-making.
  • Model Development and Evaluation:Contribute to the development, deployment, and evaluation of AI models and to the deployment and evaluation of off the shelf AI models.
  • Collaboration and Stakeholder Management:Help the wider team collaborating with business stakeholders, technology teams, and other relevant groups to understand their needs, gather requirements, and align AI solutions with organisational goals.
  • Prototyping, developing, and deploying machine learning applications into production.
  • Contributing to our machine learning enabled, business-facing applications.
  • Contributing effective, high quality code to our codebase.
  • Model validation and model testing of production models.
  • Presenting findings to senior internal and external stakeholders in written reports and presentations.

This role is for you if:

  • Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow).
  • Understanding of machine learning techniques.
  • Experience with data manipulation libraries (e.g. Pandas, Spark, SQL).
  • Git for version control.
  • Cloud experience (we use Azure/GCP/AWS).

Skills we’d also like to hear about:

  • Evidence of modelling experience applied to industry relevant use cases.
  • Familiarity with working in an MLOps environment.
  • Familiarity with simulation techniques.
  • Familiarity with optimisation techniques.

What you’ll receive from us:

No matter where you may be in your career or personal life, our benefits are designed to add value and support, recognising and rewarding you fairly for your contributions. We offer a range of benefits including empowered flexibility and a working week split between office, home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more.

Required Documents

  • CV/Resume

Application Process

APPLY TODAYand be part of a team that thrives on innovation and problem-solving.

J-18808-Ljbffr

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.

Jobs

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

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Jobs Careers

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

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Jobs

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.