Senior Data Scientist

Below covers everything you need to know about what this opportunity entails, as well as what is expected from applicants.Joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table.

ABOUT US

Capco is global technology and business consultancy with a focus on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry, combining innovative thinking with unique expert know-how.

What we’re looking for:

As part of our on-going global expansion strategy, we are currently hiring Senior Data Scientists as Capco continues to grow its UK Data Practice in our London office.

The Senior Data Scientist should be experienced in using statistical, algorithmic, mining and/or visualisation techniques to address complex business problems. You will be an SME on data science / ML solutions and use case development.

Responsibilities

Develop prototype and proof of concept solutions making use of cutting-edge AI, machine learning and statistical approaches to solve real-world and business problems.

Technically lead multiple pods of data science & engineers to develop solutions from a business problem into POCs, MVPs, or fully-fledged solutions while collaborating closely with domain experts.

Help transition from development environment to production.

Act as a subject matter expert in data science and machine learning and coach other data scientists.

Essential skills

Hands-on experience in building and implementing data science and machine learning solutions to tackle business problems.

Comfort with rapid prototyping and disciplined software development processes.

Experience with Python, ML libraries (e.g. spaCy, NumPy, SciPy, Transformers, etc.), data tools and technologies (Spark, Hadoop, Hive, Redshift, SQL), and toolkits for ML and deep learning (SparkML, Tensorflow, Keras).

Demonstrated ability to work on multi-disciplinary teams with diverse skillsets.

Deploying machine learning models and systems to production (DevOps, MLOps, CI/CD).

Experience of working in cloud environments (Azure, GCP, AWS).

You are also expected to have:

Higher level degree (MsC/PhD) in a numerate discipline.

Excellent leadership skills.

Able to articulate complex data science concepts to both technical and non-technical audiences.

Banking and/or Financial Services experience.

Bonus points:

Entries into Kaggle Competitions.

Creativity, resourcefulness and a collaborative spirit.

Data at Capco

Capco’s global Data Practice of 800+ practitioners are an established team of data strategists, analysts, scientists, architects, and engineers who help client teams harness the power of data to drive insight, optimise performance, and commercialise data opportunities.

WHY JOIN CAPCO?

You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry.

A work culture focused on innovation and creating lasting value for our clients and employees.

Ongoing learning opportunities to help you acquire new skills or deepen existing expertise.

A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients.

A diverse, inclusive, meritocratic culture.

Enhanced and competitive family friendly benefits, including maternity / adoption / shared parental leave and paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement.

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