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- Tasks: Transform complex financial data into actionable insights and develop predictive models.
- Company: Join a leading financial services firm focused on innovative data solutions.
- Benefits: Enjoy a hybrid work model, competitive salary, private medical, and generous holiday allowance.
- Why this job: Shape the future of data and AI in a collaborative, growth-oriented environment.
- Qualifications: 3+ years in data science, strong Python and SQL skills, and a relevant degree.
- Other info: Opportunity to work with cutting-edge Generative AI tools and influence data strategy.
The predicted salary is between 39000 - 52000 £ per year.
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 will help transform complex financial data into actionable insights that drive business decisions. You will 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 optimise 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:
- Design, develop and implement predictive models and machine learning algorithms including building Gen-AI tools.
- Build and maintain data pipelines to support analytical workflows.
- Transform raw financial data into structured formats suitable for analysis.
- Create visualisations and reports to communicate findings to stakeholders.
- Collaborate with business teams to understand requirements and deliver solutions.
- Optimise existing models and processes for improved performance.
Requirements:
- 3+ years of experience in data science using a range of predictive modelling and Machine Learning techniques.
- 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.
- Visualisation: Power BI, Tableau, or equivalent.
- 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.
Mid-Level Data Scientists Needed |Financial Services | Guildford Area employer: Avanti Recruitment
Contact Detail:
Avanti Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Mid-Level Data Scientists Needed |Financial Services | Guildford Area
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Snowflake and Apache Spark. Having hands-on experience or projects showcasing these skills can set you apart during discussions.
✨Tip Number 2
Prepare to discuss your experience with predictive modelling and machine learning techniques. Be ready to share examples of how you've applied these in previous roles, especially in a financial context, as this will demonstrate your relevance to the position.
✨Tip Number 3
Showcase your ability to collaborate with cross-functional teams. Think of instances where you've worked with business stakeholders to understand their needs and how you delivered data-driven solutions that made an impact.
✨Tip Number 4
Since the company is investing in Generative AI tools, it would be beneficial to brush up on the latest trends and applications in this area. Being able to discuss innovative ideas or potential implementations could impress your interviewers.
We think you need these skills to ace Mid-Level Data Scientists Needed |Financial Services | Guildford Area
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly with predictive modelling and machine learning techniques. Emphasise your programming skills in Python and SQL, as well as any experience with data engineering tools like Snowflake.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your ability to engineer solutions. Mention specific projects or experiences that demonstrate your skills in transforming complex data into actionable insights.
Showcase Technical Skills: In your application, clearly outline your technical skills related to data manipulation, database management, and visualisation tools. Highlight your familiarity with libraries like scikit-learn and TensorFlow, as well as your experience with tools like Power BI or Tableau.
Prepare for Interviews: Be ready to discuss your previous work in data science and how you can contribute to the company's goals. Prepare examples of how you've collaborated with cross-functional teams and optimised existing models or processes in your past roles.
How to prepare for a job interview at Avanti Recruitment
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python, SQL, and any relevant data engineering tools like Snowflake or Apache Spark. Be prepared to discuss specific projects where you've applied these skills, as this will demonstrate your capability to handle the technical demands of the role.
✨Prepare for Predictive Modelling Questions
Since the role involves designing predictive models, brush up on your knowledge of machine learning techniques and frameworks such as scikit-learn and TensorFlow. Be ready to explain your approach to building models and optimising them for performance.
✨Understand the Business Context
Familiarise yourself with the financial services industry and how data science can drive business decisions in this sector. Being able to articulate how your work can impact the company's success will set you apart from other candidates.
✨Demonstrate Collaboration Skills
The role requires working with cross-functional teams, so be prepared to discuss your experience in collaborating with others. Share examples of how you've effectively communicated findings and worked together to achieve common goals.
