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Mid-Level Data Scientists Needed |Financial Services | Guildford Area

Avanti Recruitment

Guildford

Hybrid

GBP 45,000 - 65,000

Full time

2 days ago
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Job summary

An established financial services firm is on the lookout for a passionate Mid-Level Data Scientist to join their innovative Analytics team. In this dynamic role, you will leverage your expertise to transform complex financial data into actionable insights, driving strategic business decisions. Collaborating with cross-functional teams, you will develop predictive models and explore the exciting realm of Generative AI tools to optimize operations. This is a fantastic opportunity to be part of a company that values data-driven decision-making and is committed to investing in its Data Science journey. Join this forward-thinking organization and help shape the future of their data and AI tools.

Benefits

Good pension contribution
Private medical
25 days holiday
Discretionary bonus

Qualifications

  • 3+ years of experience in data science with predictive modelling.
  • Strong programming skills in Python and SQL are essential.

Responsibilities

  • Design and implement predictive models and machine learning algorithms.
  • Build and maintain data pipelines to support analytical workflows.

Skills

Data Science
Machine Learning
Python
SQL
Data Engineering
Predictive Modelling

Education

Bachelor's degree in Computer Science
Bachelor's degree in Statistics
Bachelor's degree in Mathematics

Tools

Snowflake
Apache Spark
Airflow
Power BI
Tableau
Git
Pandas
NumPy
scikit-learn
TensorFlow

Job description

Mid-Level Data Scientists Needed | Financial Services | Guildford Area


Are you a passionate data scientist with a knack for engineering solutions? Our established financial services client is seeking a talented Mid-Level Data Scientist to join their growing Analytics team at their office near Guildford.


About the Role:

Working in a Data Science role, you will also perform some Data Engineering and Analysis tasks. You'll help transform complex financial data into actionable insights that drive business decisions. You'll collaborate with cross-functional teams to develop predictive models using a range of Data Science techniques. They are also planning to implement some Generative AI tools that optimize internal operations. They are still early in their Data Science journey and this will be an area they are investing over the next few years, so need people who can help shape their Data and AI tools.


Responsibilities:
  1. Design, develop and implement predictive models and machine learning algorithms including building Gen-AI tools.
  2. Build and maintain data pipelines to support analytical workflows.
  3. Transform raw financial data into structured formats suitable for analysis.
  4. Create visualizations and reports to communicate findings to stakeholders.
  5. Collaborate with business teams to understand requirements and deliver solutions.
  6. Optimize existing models and processes for improved performance.

Requirements:
  1. 3+ years of experience in data science using a range of predictive modelling and Machine Learning techniques.
  2. Strong programming skills in Python and SQL.
  3. Experience with data engineering concepts and tools (ETL pipelines, data warehousing - they are using SnowFlake).
  4. Knowledge of machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow).
  5. Bachelor's degree in Computer Science, Statistics, Mathematics, or related field.

Technical Skills:
  1. Data manipulation: Pandas, NumPy.
  2. Data engineering: Snowflake, Apache Spark, Airflow or similar.
  3. Database management: SQL, NoSQL databases.
  4. Visualization: Power BI, Tableau, or equivalent.
  5. Version control: Git.

Salary: £45,000 - £65,000 DOE + good pension contribution + private medical + 25 days holiday + discretionary bonus.


Join their team and help shape business success through data-driven decision making.


Location: Guildford area, Surrey
Work Model: Hybrid (3 days in office, 2 days remote)


APPLY TODAY for immediate consideration and interview in the next week.

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