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Junior and Mid-Level Data Scientists Needed Financial Services Guildford Area

Avanti
Posted 8 hours ago, valid for 2 days
Location

Guildford, Surrey GU48EY, England

Salary

£35,000 - £70,000 per annum

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • A financial services client in the Guildford area is seeking Junior and Mid-Level Data Scientists to join their Analytics team.
  • Candidates should have at least 3 years of experience in data science and strong programming skills in Python and SQL.
  • The role involves designing predictive models, building data pipelines, and transforming complex financial data into actionable insights.
  • The salary for this position ranges from £35,000 to £70,000 depending on experience, along with benefits including a pension contribution and private medical insurance.
  • This is a hybrid work model requiring 3 days in the office and 2 days remote, and the company does not offer visa sponsorship.

Junior and 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 area they are investing over the next few years so need people who can help shame their Data and AI tools.

Responsibilities:

  • Design, develop and implement predictive models and machine learning algorithms
  • Build and maintain data pipelines to support analytical workflows
  • Transform raw financial data into structured formats suitable for analysis
  • Create visualizations and reports to communicate findings to stakeholders
  • Collaborate with business teams to understand requirements and deliver solutions
  • Optimize existing models and processes for improved performance

Requirements:

  • 3+ years of experience in data science with demonstrable project outcomes
  • Strong programming skills in Python and SQL
  • Experience with data engineering concepts and tools (ETL pipelines, data warehousing - they are using SnowFlake)
  • Knowledge of machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow)
  • Bachelor's degree in Computer Science, Statistics, Mathematics, or related field

Technical Skills:

  • Data manipulation: Pandas, NumPy
  • Data engineering: Snowflake, Apache Spark, Airflow or similar
  • Database management: SQL, NoSQL databases
  • Visualization: Power BI, Tableau, or equivalent
  • Version control: Git

Salary: £35,000 - £70,000 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. .

*** They do not offer visa sponsorship and won't consider those on short term visas***

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.