Data Science Analyst

Harnham
London
2 days ago
Applications closed

Related Jobs

View all jobs

Data Science Analyst

Data Science Analyst

Data Science Analyst

Senior Quantitative Analyst

Sustainability Data Analyst

Graduate Claims Analyst

This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Harnham

Associate Director - Leading AI, Machine Learning & Engineering at Harnham

Harnham is working exclusively with a prestigious private equity firm in London who are building a data function in London to support the internal deal team with the use of sophisticated data science and analytics.

You will join a small team and help build the foundations for the company's data initiative for the coming years.

You will be expected to help build the data platform being used by the investment team, as well as work on ad-hoc strategic projects to identify investment opportunities for the business.


The Role - Data Science Analyst

You will be:

  • Working alongside the deal team to identify where data science and advanced analytics can have a positive impact on the investment process
  • Helping to create internal data tools and products to support data-driven investment decisions
  • Carrying out due diligence as part of the investment process
  • Exploring how Generative AI techniques can benefit the organisation

Experience - Data Science Analyst

You will have:

  • An M.Sc. or Ph.D. in: STEM (e.g. Statistics, Applied Mathematics, Computer Science, Engineering)
  • Experience using Python is a must
  • Experience of data visualisation tools (e.g. Tableau, Power BI)
  • A strong knowledge of statistical/machine learning models applied to real-world problems
  • A keen interest in problem-solving and using data, analytics and AI to solve investment problems is important
  • A focus on using data science to create value is essential
  • A strong interest in working alongside both technical and non-technical people

BENEFITS

Up to £90,000 base salary
Competitive bonus

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page. For further details or to enquire about other roles, please contact Nick Mandella at Harnham.


KEYWORDS

Python, SQL, Tableau, Power BI, AWS, GCP, Azure, Cloud, machine learning, statistics, Data Science, Data Scientist, Big Data, Artificial Intelligence, private equity, finance.

Seniority level

Entry level

Employment type

Full-time

Job function

Information Technology

Industries: Venture Capital and Private Equity Principals

#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

Common Pitfalls Data Science Job Seekers Face and How to Avoid Them

Data science has become a linchpin for decision-making and innovation across countless industries, from finance and healthcare to tech and retail. The demand for data scientists in the UK continues to climb, with businesses seeking professionals who can interpret complex datasets, build predictive models, and communicate actionable insights. Despite this high demand, the job market can be extremely competitive—and many applicants unknowingly fall into avoidable traps. Whether you’re an aspiring data scientist fresh out of university, a professional transitioning from a quantitative role, or a seasoned analyst looking to expand your skill set, it’s crucial to navigate your job search effectively. In this article, we explore the most common pitfalls data science job seekers face and provide pragmatic advice to help you stand out. By refining your CV, portfolio, interview strategies, and communication skills, you can significantly increase your chances of landing a rewarding data science role. If you’re looking for your next data science job in the UK, don’t forget to explore the listings at Data Science Jobs. Read on to discover how to avoid critical mistakes and position yourself for success.

Careers

Career Paths in Data Science: From Entry-Level Analysis to Leadership and Beyond

Data is the lifeblood of modern business, and Data Scientists are the experts who turn raw information into strategic insights. From building recommendation engines to predicting market trends, the impact of data science extends across virtually every industry—finance, healthcare, retail, manufacturing, and beyond. In the UK, data-driven decision-making is critical to remaining competitive in a global market, making data science one of the most sought-after career paths. But how does one launch a career in data science, and how can professionals progress from entry-level analysts to senior leadership roles? In this comprehensive guide, we’ll explore the typical career trajectory, from junior data scientist to chief data officer, discussing the key skills, qualifications, and strategic moves you need to succeed. Whether you’re a recent graduate, transitioning from another technical field, or an experienced data scientist aiming for management, you’ll find actionable insights on forging a successful career in the UK data science sector.

Jobs

Job-Hunting During Economic Uncertainty: Data Science Edition

Data science has become essential for modern businesses, enabling data-driven decisions that enhance efficiency, profitability, and strategic foresight. From predictive analytics in finance to recommendation engines in retail, data scientists sit at the crossroads of statistics, programming, and domain expertise, building models that translate raw information into tangible insights. Yet, when broader economic forces create uncertainty—through market downturns, shifting investor priorities, or internal budget constraints—data science roles can experience increased scrutiny, competition, and extended hiring cycles. Despite these pressures, data-driven approaches remain crucial to organizations looking to weather challenges and find opportunities in volatile environments. Whether you’re refining advanced machine learning techniques, fine-tuning data pipelines, or collaborating with business stakeholders on dashboards, your skill set is often still in demand. The key is adapting your job search strategy and personal branding to cut through the noise when fewer roles may be available. This article explores: Why economic headwinds affect data science hiring. Actionable strategies to stand out in a tighter job market. Ways to emphasize your technical and soft skills effectively. Techniques to maintain focus and resilience despite potential setbacks. How www.datascience-jobs.co.uk can help you secure the ideal data science position. By combining strategic thinking, polished communications, and adaptability, you can land a fulfilling data science role that leverages your expertise—even if the market feels more demanding.

🍪 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.