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Senior Data Scientist (m / f / d)

Senior Data Scientist (m / f / d)

Xempus DeutschlandMünchen, Bavaria, Germany
Vor 30+ Tagen
Stellenbeschreibung

Who we are

We are Xempus Germanys leading independent SoftwareasService (SaaS) platform for the management and distribution of pension life and health insurance. Our mission : making pension life and health insurance digital and understandable efficient and accessible for everyone. Since 2007 we have been constantly working to drive the digitalization of the insurance industry. Here at Xempus we believe that together we can make a difference no matter where we are! Whether from one of our offices or from home join us and together we create a more secure future for everyone!

The role

We are seeking a talented and experienced Senior Data Scientist to join our dynamic team. In this role you will lead the development of advanced machine learning models that drive personalized insurance product recommendations and optimize consultation processes for our agents as well as automate administrative processes related to user activity. You will work closely with data engineering analytics and product teams to ensure the creation of impactful solutions collaborating on deployment and integration with a focus on model performance and continuous improvement.

Key Responsibilities :

  • Design develop and refine sophisticated machine learning models and data models to address business challenges
  • Perform exploratory data analysis (EDA) and feature engineering to extract meaningful insights and improve model accuracy
  • Collaborate with data engineering and software engineering teams to ensure models are effectively deployed into production environments providing guidance and support on integration and testing
  • Monitor model performance and data quality analyzing feedback to identify opportunities for refinement and optimization
  • Communicate complex analysis and model results clearly to stakeholders providing insights to support strategic decisionmaking
  • Contribute to the development of automated workflows for data preprocessing and model retraining ensuring models stay relevant over time

What we are looking for

  • Bachelors Masters or Ph.D. in Computer Science Data Science Statistics or a related field.
  • 7 years of experience in data science analytics or related roles with a strong focus on model development
  • Proficiency in Python with extensive experience in machine learning frameworks like Scikitlearn TensorFlow or PyTorch
  • Experience with version control systems particularly git
  • Experience with data quality tools and testing frameworks (e.g. Great Expectations pytest)
  • Strong SQL skills for querying and analyzing data from existing data warehouses
  • Experience in developing and implementing machine learning models for personalized recommendations and process optimization
  • Experience in setting up and managing machine learning pipelines
  • Proficiency in exploratory data analysis (EDA) and feature engineering
  • Experience with data visualization (e.g. Tableau)
  • Knowledge of natural language processing (NLP) techniques and libraries
  • Strong understanding of statistical analysis machine learning algorithms and data modeling techniques
  • Knowledge of best practices in model evaluation validation and performance monitoring
  • Strong analytical and problemsolving skills
  • Excellent communication skills especially in explaining complex models and results to nontechnical stakeholders

    • Optional Skills :

  • Experience with big data tools like Apache Spark (PySpark)
  • Familiarity with cloud platforms (e.g. AWS Azure GCP) and cloudbased data warehouses (e.g. Snowflake Redshift)
  • Knowledge of MLOps practices and tools such as Docker Kubernetes and MLflow
  • Experience with automated workflow tools like Apache Airflow
  • Familiarity with advanced feature management tools
  • Advanced knowledge of database management and optimization
  • Familiarity with dbt for data transformation and analytics

    • Why Xempus

  • Join one of the leadinginsurtechsin Europe as it enters its next growth phase
  • Find creative freedom and quick decisionmaking structures in a dynamic innovative environment
  • Opportunitytoparticipatein one of the most generous employee stock option programs in the industry
  • Very attractive contribution to the company pension scheme
  • Corporate health insurance (600 reimbursement of various medical and pharmacy costs per year)
  • Work with a team of amazing colleagues withgreat teamspirit (company parties charity events e.g.)
  • Have theoptionof hybrid working for family friendliness and maximum flexibility in your everyday life. You can find out more here.
  • Broad range of personal & professional development opportunities : individual annual training budget free courses and a transparent career development model
  • Various health offerings such as bike leasing and EGYMWellpass
  • Modern offices in a central location including free drinks & fruit
  • We offer you an option for an unpaid extra holiday in addition to your 30day holiday entitlement per year

    • Contact

    Does that sound like your kind of job Then apply now!

    If you have any questions difficulties uploading your data or require any assistance with the recruitment process Marta Von Deimling ( ) is happy to help.

    Wed love to hear from you!

    About us

    At XEMPUS 180 people work on a very special vision : We make the future plannable. We have been shaping the digital transformation in the insurance industry since 2007. We know what our successful future depends on : our team the people behind the name XEMPUS.

    We have ambitious goals. To achieve those goals we need you!

    We are an equal opportunity employer and ensure that no applicant is subject to less favourable treatment on the grounds of gender gender identity marital status race colour nationality ethnicity age sexual orientation socioeconomic responsibilities for dependants physical or mental disability. Any hiring decision are made on the basis of skills qualifications and experiences.

    Required Experience :

    Senior IC

    Key Skills

    Laboratory Experience,Mammalian Cell Culture,Biochemistry,Assays,Protein Purification,Research Experience,Next Generation Sequencing,Research & Development,cGMP,Cell Culture,Molecular Biology,Flow Cytometry

    Employment Type : Full-Time

    Experience : years

    Vacancy : 1

    Jobalert für diese Suche erstellen

    Senior Data Scientist • München, Bavaria, Germany