Adecco

Data Scientist - Hybrid/Bristol - Up to £60k

Job description

Data Scientist - Hybrid/Bristol

Job Title: Mid-Level Data Scientist

Location: Hybrid/Bristol

Remuneration: £50,000 - £60,000 per annum

Contract Type: Permanent

Responsibilities:

  • Play a pivotal role in crafting, enhancing, and managing intricate data ingestion pipelines, ensuring their efficiency, scalability, and dependability.
  • Integrate advanced machine learning elements into data pipelines to elevate data processing and analytical capabilities.
  • Devise and implement data quality metrics and dashboards for monitoring, ensuring the fidelity and precision of ingested data.
  • Collaborate closely with data scientists, engineers, and cross-functional team members in an agile development setting to meet project objectives and deadlines.
  • Harness modern NLP techniques to enrich data comprehension and processing. Stay abreast of the latest advancements in data science and engineering to continuously refine our systems and methodologies.

About Us:

Situated in Bristol, UK, our client operates at the forefront of cyber risk assessment and management. Their pioneering strategies and exclusive models are reshaping the understanding and mitigation of cyber risk within the reinsurance sector. They are dedicated to excellence and innovation, positioning them as pioneers in their field.

Why Join?

Influence:

  • Drive significant enhancements in our data ingestion capabilities, directly contributing to our efficacy in managing cyber risk.

Innovation:

  • Engage with state-of-the-art technologies and approaches in the realm of data science and engineering.

Development:

  • Access opportunities for professional growth within a nurturing and forward-looking environment.

Culture:

  • Become part of a cooperative, inventive team that values the contributions of each member toward our shared objectives.

Qualifications:

- Experience: A minimum of 3 years' experience in crafting intricate data ingestion pipelines incorporating advanced ML elements. Prior exposure to the insurance domain is advantageous.

- Education: A degree in Computer Science, Data Science, Engineering, or a related discipline.

Technical Skills:

  • Proficient in Python, SQL, PySpark, and Databricks.
  • Demonstrated proficiency in modern NLP techniques and tools.
  • Proven track record in developing and managing data quality metrics and dashboards.
  • Experience collaborating within a cross-functional agile development team.
  • Competence in utilising Git for version control.

Industry Knowledge:

Familiarity with the insurance sector and its associated data challenges is highly desirable.

Soft Skills:

  • Exceptional problem-solving abilities.
  • Effective communication skills.
  • Collaborative mindset.

Perks:

  • Hybrid work options.
  • Health insurance coverage.
  • Sponsored training opportunities.
  • Employee discounts.

We seek talented and seasoned Mid-Level Data Scientists passionate about sculpting sophisticated data ingestion pipelines. If you thrive in a dynamic, agile setting and possess a robust foundation in Python, Databricks, and SQL, we invite you to connect with us.

Our office is conveniently located in the vibrant area of Broadmead, Bristol, with nearby parking at Mall Galleries just a 2-minute walk away. Bristol Temple Meads train station is also accessible within a 18-minute walk from our office.

Join our esteemed organisation and contribute to our culture of innovation and foresight. Apply now and embark on the next phase of your career journey as a Mid-Level Data Scientist.


Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.


KEYWORDS:

Python / Databricks / Data bricks / Google Cloud Platform / GCP / SQL / PostgreSQL / Pandas / SQLAlchemy / Apache Airflow / DataBricks / Data Bricks / Snowflake / Luigi / BigTable / Redis / CouchDB / RethinkDB / Elasticsearch / Postgres / Postgres SQL / Insurance / Cyber Security / Cyber Risk Pipelines / Cyber Reinsurance / Risk Management / Asset Management / Reinsurance / Big Data / Python / Databricks / Data bricks / Google Cloud Platform / GCP / SQL / PostgreSQL / Pandas / SQLAlchemy / Apache Airflow / DataBricks / Data Bricks / Snowflake / Luigi / BigTable / Redis / CouchDB / RethinkDB / Elasticsearch / Postgres / Postgres SQL / Insurance / Cyber Security / Cyber Risk Pipelines / Cyber Reinsurance / Risk Management / Asset Management / Reinsurance / Big Data / Python / Databricks / Data bricks / Google Cloud Platform / GCP / SQL / PostgreSQL / Pandas / SQLAlchemy / Apache Airflow / DataBricks / Data Bricks / Snowflake / Luigi / BigTable / Redis / CouchDB / RethinkDB / Elasticsearch / Postgres / Postgres SQL / Insurance / Cyber Security / Cyber Risk Pipelines / Cyber Reinsurance / Risk Management / Asset Management / Reinsurance / Big Data / Python / Databricks / Data bricks / Google Cloud Platform / GCP / SQL / PostgreSQL / Pandas / SQLAlchemy / Apache Airflow / DataBricks / Data Bricks / Snowflake / Luigi / BigTable / Redis / CouchDB / RethinkDB / Elasticsearch / Postgres / Postgres SQL / Insurance / Cyber Security / Cyber Risk Pipelines / Cyber Reinsurance / Risk Management / Asset Management / Reinsurance / Big Data /

Desired Skills and Experience

Qualifications:
- Experience: A minimum of 3 years' experience in crafting intricate data ingestion pipelines incorporating advanced ML elements. Prior exposure to the insurance domain is advantageous.
- Education: A degree in Computer Science, Data Science, Engineering, or a related discipline.

Technical Skills:
* Proficient in Python, SQL, PySpark, and Databricks.
* Demonstrated proficiency in modern NLP techniques and tools.
* Proven track record in developing and managing data quality metrics and dashboards.
* Experience collaborating within a cross-functional agile development team.
* Competence in utilising Git for version control.

Industry Knowledge:
Familiarity with the insurance sector and its associated data challenges is highly desirable.

Soft Skills:
* Exceptional problem-solving abilities.
* Effective communication skills.
* Collaborative mindset.

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