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Data Scientist

Company Description

Evelyn Partners is a UK leader in wealth management, providing personalised, expert investment management and financial planning advice to support clients in embracing what's next.

Our success hinges on our people and that's our secret for longevity. We are a team of passionate professionals and everything we do is guided by our purpose - placing the power of good advice into more hands, we go further to understand the needs of our clients and what matters most to them. We're here to help them make significant decisions with confidence, provide strong foundations for the future and guide them towards their goals.

Job Description

Evelyn Partners Data Services Team

At Evelyn Partners, we are expanding our Data Services team, investing in a large-scale modernisation programme to drive innovation and insights. We’re building a new team to enhance data modelling, reporting, AI initiatives, and cloud data platforms like Snowflake.

As part of our transformation, we’re growing our analytics capability to help develop the understanding of commercial performance and take the business to the next level. This means exciting opportunities for learning, upskilling, and working with the latest technologies.

These roles can be based in Liverpool or Glasgow, with the requirement to be in the office to collaborate with colleagues twice a week. 

Why Join Evelyn Partners Data Services Team?

  • Investment in Data: We recognise the power of data and are fully committed to growing a best-in-class team.
  • Cutting-Edge Tech: Work with Snowflake, Power BI, and AI-driven solutions to shape the future of data analytics.
  • People-First Culture: A collaborative, flexible, and supportive work environment.
  • Career Growth Opportunities: Continuous learning and upskilling in new and emerging technologies.
  • Impactful Work: Be at the forefront of transforming our data strategy and driving business success.

If you’re a data professional looking for an opportunity to lead change and innovative, we want to hear from you.

What will you be doing?

As a Data Scientist, you will provide insightful analysis and data on client (customer) activity across Evelyn Partners. This is an exciting opportunity to help develop the understanding of the client and take the business to the next level, using your advanced analytics and data science skills to do so. We are at the start of a transformation journey and the role would suit ambitious and inquisitive individuals keen to show an organisation how to realise value from data.

As a Data Scientist, your responsibilities will include:

  • Explore existing and new data and use your advanced knowledge of statistical models, machine learning and data science techniques to be able to perform descriptive, inferential, and predictive analytics
  • Find patterns in data and transform them into organisational insight, building effective visualizations to present data explorations
  • Make recommendations to address complex problems and to inform strategic and operational decision making
  • Use data ethically and appropriately and be innovative and adaptable
  • Develop understanding of new and prospective clients, particularly around acquisition, retention and churn
  • Build and manage a roadmap of analytics and insights projects collaborating with the rest of the Insights team and other stakeholders to do so
  • Build understanding of key drivers of performance trends based on a hypothesis-driven approach, backed-up by robust statistical analysis

Qualifications

To be successful in this role, you should:

Applied maths, statistics and scientific practices:

  • Applying analytical methods including exploratory data analysis, visualisation and statistical testing to reach accurate conclusions.
  • Using analytical approaches to interpret data confidently.
  • Has the ability to summarise and describe data to support decision making.
  • Degree in Mathematics, Statistics, Business, Analytics, or relevant field;
  • Proven experience as a Data scientist

Data science innovation:

  • Has the ability to apply data science innovation in the approach to new questions, opportunities, data and techniques by using an inquisitive approach.
  • Has the ability to apply data science innovation to produce creative solutions to problems.

Delivering business impact:

  • Understands processes, data and strategic priorities.
  • Can apply data science techniques to produce and present data science products.
  • Has the ability to design solutions that meet user needs, allowing for design and ethics standards.

Developing data science capability:

  • Has the ability to work with other data scientists and developers to share skills.
  • Enable a team to access the right technologies to create products.
  • Develop your own data science skills.

Ethics and privacy:(data science).

  • Has the ability to understand and comply with frameworks, standards and laws, including General Data Protection Regulation (GDPR), the Data Protection Act (DPA) and the Equalities Act.

Programming and build: (data science).

  • Deep demonstrable knowledge of SQL, Python and PowerBI
  • Experience with Azure datalake and databricks (or similar) highly desirable
  • Have the ability to use programming tools to undertake analysis and create scalable data products.
  • You can document and test code to ensure its quality.
  • You can understand the organisation's tech stack and get code into production by working with developers and architects.
  • You can show data science is used effectively to support products and services.

Additional Information

As a colleague here at Evelyn Partners, you will have access to benefits that include:

  • Competitive salary
  • Private medical insurance
  • Life assurance
  • Pension contribution
  • Hybrid working model (role dependent)
  • Generous holiday package
  • Option to purchase additional holiday
  • Shared parental leave
  • Fully funded training towards professional qualifications
  • Cycle to work scheme
  • Season ticket loan
  • Eye care support

We are proud to value the differences that a diverse workforce brings, representative of society and our clients. At Evelyn Partners we have a wide range of highly active employee resource groups and we're delivering multiple diversity, equity and inclusion initiatives across the organisation. It is our commitment to provide a workspace where all colleagues, regardless of identity, background, or circumstance, feel respected as individuals and feel that they can achieve their full potential and work in a safe, supportive, and inclusive environment.

We are happy to make any reasonable adjustments to accommodate for your needs throughout the application process. Please let your Recruiter know.

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Average salary estimate

$60000 / YEARLY (est.)
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$50000K
$70000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Scientist, Evelyn Partners

Are you a passionate data wizard with a knack for uncovering insights? Evelyn Partners, a prominent player in the UK wealth management sector, is looking for a talented Data Scientist to join our dynamic Data Services team based in Glasgow. In this role, you'll have the chance to dive deep into our client data, leveraging advanced analytics and innovative data science techniques to derive actionable insights that will transform our business strategies. We're investing in modern technologies, including Snowflake and AI-driven solutions, making this an exciting opportunity to work at the forefront of data innovation. Your mission will be to explore and interpret data patterns, build compelling visualizations, and collaborate closely with peers to enhance our understanding of client behavior. With a commitment to ongoing learning and professional development, you’ll not only contribute to our success but also grow your expertise in a supportive and collaborative environment. Whether it’s developing strategic recommendations or leading analytics projects, your work will have a real impact on our journey to harness the power of data. If you’re ready to make a difference with your analytical skills and creativity, we’d love to hear from you at Evelyn Partners!

Frequently Asked Questions (FAQs) for Data Scientist Role at Evelyn Partners
What are the key responsibilities of a Data Scientist at Evelyn Partners?

As a Data Scientist at Evelyn Partners, your primary responsibilities include analyzing client data, building statistical models, performing predictive analytics, and translating complex data patterns into actionable insights. You'll work closely with the Data Services team to enhance our data modeling and reporting capabilities, utilizing tools like Snowflake and Power BI. Additionally, you'll engage in strategic decision-making by providing recommendations based on data findings.

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What qualifications are needed to become a Data Scientist at Evelyn Partners?

To become a Data Scientist at Evelyn Partners, candidates should hold a degree in Mathematics, Statistics, Business, or a related field. Additionally, proven experience in data science is essential, along with proficiency in programming languages such as SQL and Python. Familiarity with tools like Azure datalake and databricks is also highly desirable, demonstrating your capability to derive insights and build scalable data products.

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How does Evelyn Partners support data science innovation within the team?

Evelyn Partners fosters an environment of innovation by encouraging teams to explore new data science techniques and approaches. The company is committed to investing in its Data Services team, enabling members to use cutting-edge technology and collaborate on challenging analytics projects that drive business performance. Our culture promotes continuous learning, allowing data professionals to stay ahead in their field.

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What tools and technologies will a Data Scientist use at Evelyn Partners?

Data Scientists at Evelyn Partners will work with a variety of tools and technologies, including Snowflake for cloud data management, Power BI for data visualization, and advanced programming languages like SQL and Python. The role also involves utilizing AI-driven solutions to enhance data analytics and reporting, ensuring that our data strategies are both innovative and effective.

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What benefits does Evelyn Partners offer to Data Scientists?

Evelyn Partners offers a comprehensive benefits package for Data Scientists, including competitive salaries, private medical insurance, pension contributions, and a generous holiday allowance. Additional perks like cycle-to-work schemes, season ticket loans, fully funded training for professional qualifications, and a supportive hybrid working model emphasize the company’s commitment to employee well-being and continuous growth.

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Common Interview Questions for Data Scientist
Can you describe your experience with statistical modeling as a Data Scientist?

When answering this question, focus on specific statistical techniques you've employed, such as regression analysis, classification methods, or clustering algorithms. Discuss how these models were used to solve real-world problems, highlighting any successful projects that resulted in actionable insights or business improvements.

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How do you approach data cleaning and preparation?

A great way to respond to this question is by detailing your processes for identifying and addressing missing values, outliers, or inconsistencies in data. Provide examples of how you've transformed raw data into a usable format, as well as any tools or programming languages you commonly utilize for these tasks.

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What experience do you have with machine learning techniques?

In your response, discuss specific machine learning algorithms you’ve implemented, such as decision trees, neural networks, or support vector machines. Offer insights into the type of data you worked with and the outcomes of your modeling efforts—this demonstrates both your technical expertise and practical application of those skills.

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How do you ensure the ethical use of data in your analysis?

This is an important question that you should approach by mentioning your understanding of regulations like GDPR and your commitment to ethical standards in data usage. Discuss practices such as anonymizing sensitive data, maintaining transparency with stakeholders, and prioritizing data privacy in your analytics work.

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Can you give an example of a complex problem you solved using data?

For this question, share a specific example of a challenging analytical task you've tackled. Explain your process, the analytical methods used, and the impact of your findings on the business. Be sure to highlight your critical thinking and problem-solving capabilities.

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How do you collaborate with non-technical stakeholders on data projects?

When answering, focus on your communication skills and ability to translate complex data insights into easily understandable concepts for non-technical team members. Share experiences where you effectively led discussions, presented findings, and gathered requirements from stakeholders to ensure everyone was aligned on project goals.

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What programming languages are you proficient in for data analysis?

Highlight the programming languages you are comfortable with, such as Python, SQL, or R, and provide examples of how you've utilized them in past projects. Touch on any libraries or frameworks you've leveraged in your work to showcase your expertise.

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Describe a project where you had to build a data visualization.

Choose a project where data visualization was critical to communicate findings. Explain the tools you used, the data insights you aimed to convey, and how your visualizations helped inform decision-making. Emphasize the importance of clarity and impact in your presentations.

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How do you stay updated with the latest trends in data science?

Answer this by mentioning resources like online courses, webinars, industry conferences, or data science communities you participate in. Show your passion for learning and how you continuously seek to expand your knowledge and skills in the fast-evolving field of data science.

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What challenges do you face when working with large datasets, and how do you address them?

Detail specific challenges such as data volume, processing speed, or performance issues. Discuss strategies you employ, like leveraging cloud computing tools, optimizing queries, or parallel processing techniques, to effectively manage and analyze sizable datasets without sacrificing quality.

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Our purpose is to place the power of good advice into more hands

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Full-time, hybrid
DATE POSTED
March 27, 2025

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