Data Scientist

Vodafone; London; On-site; GBP 50,000 - 85,000; Full time

Job summary

A leading wealth management firm based in London is seeking a Data Scientist to leverage data in driving impactful insights. The ideal candidate has advanced statistical skills and programming expertise, contributing to the optimization of investment strategies and regulatory compliance.

Benefits

Collaborative and inclusive work environment

Cutting-edge projects at finance-technology intersection

Competitive salary and benefits package

Professional growth opportunities

Qualifications

• Master's Degree required in a relevant field.
• Proven experience in data analysis and machine learning.
• Strong understanding of SQL and proficient in programming languages.

Responsibilities

• Analyze large-scale datasets using statistical techniques and machine learning.
• Develop predictive models for investment portfolios.
• Collaborate to ensure compliance with data privacy standards.

Skills

Data Analysis

Statistical Modeling

Machine Learning

Problem Solving

Communication

Education

Master's Degree in Computer Science, IT, Statistics, Analytics, Mathematics

Tools

Python

R

Java

SQL

Job description

**Exciting Opportunity for a Data Scientist!**

**Location:** London, UK

**Company:** Leading Wealth Management Firm

Are you passionate about leveraging data to drive impactful insights in the finance industry? Our client, a prominent wealth management firm based in London, is seeking a talented Data Scientist to join their innovative team.

**About the Company:**

Our client is a dynamic and forward-thinking wealth management firm dedicated to revolutionizing the way investments and client engagement are approached. Their team is at the forefront of utilizing cutting-edge technology and data-driven strategies to stay ahead in the market.

**Key Responsibilities:**

• Utilize advanced statistical and machine learning techniques to analyze large-scale datasets and extract actionable insights.
• Develop predictive models and algorithms to optimize investment portfolios, assess risk exposure, and forecast market trends.
• Collaborate closely with cross-functional teams to ensure compliance with regulatory requirements and data privacy standards.
• Implement robust data governance frameworks and quality controls to maintain data integrity and reliability.
• Design and implement scalable data pipelines for efficient processing and analysis.
• Conduct exploratory data analysis to identify patterns, trends, and anomalies, providing recommendations for actionable insights.
• Stay updated on emerging technologies and best practices in data science to contribute to continuous improvement initiatives.

**Qualifications and Skills:**

• Master's Degree in computer science, IT, statistics, analytics, mathematics, or related field.
• - Proven experience in data analysis, statistical modeling, and machine learning techniques, preferably in financial services or wealth management.
• Proficiency in programming languages such as Python, R, or Java, and familiarity with data analysis libraries (e.g., Pandas, NumPy, scikit-learn).
• Strong understanding of database technologies and SQL proficiency for data manipulation and querying.
• Excellent analytical, statistical, and problem-solving capabilities.
• Ability to effectively convey complex technical concepts to non-technical stakeholders.

**Why You Should Apply:**

• Opportunity to work in a collaborative and inclusive environment.
• Chance to be part of cutting-edge projects at the intersection of finance and technology.
• Competitive salary and benefits package.
• Professional growth and development opportunities.

**Interested in Joining?**

If you're ready to make a meaningful impact and advance your career in data science within the finance sector, apply now!

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