Analyst, Data Science

Job description
The Role ResponsibilitiesOverall 6 Years of experience in information technology out of which 4 years of experience in data science and machine learning Data mining or extracting usable data from valuable data sourcesUsing machine learning tools to select features, create and optimize classifiersCarrying out preprocessing of structured and unstructured dataEnhancing data collection procedures to include all relevant information for developing analytic systemsProcessing, cleansing, and validating the integrity of data to be used for analysisAnalyzing large amounts of information to find patterns and solutionsDeveloping prediction systems and machine learning algorithmsPresenting results in a clear mannerPropose solutions and strategies to tackle business challengesCollaborate with Business and IT teamsStrategyTowards delivering and living out our TTO Strategy 25 byEstablish Strong Digital FoundationsAccelerate TransformationDrive Process ExcellenceBusinessContribute to the strategic goals of the organisation through the application of technology. Solve problems through the application of technical knowledge and skill, determining when and how technology can solve business problems. Scope and create technical solutions that contribute to the business’s strategic goalsProcessesIdentify new areas of focus and activity for both internal and external technology communities Develop and roll out best practice in Technology domain of expertise or their specialism. Rescue, remediate or provide expertise on initiatives with significant technology challengePeople & TalentBe a role model and build the appropriate culture and values. Set appropriate tone and expectations from their team and work in collaboration with risk and control partners. Ensure the provision of ongoing training and development of people and ensure that holders of all critical functions are suitably skilled and qualified for their roles ensuring that they have effective supervision in place to mitigate any risks. Employ, engage and retain high quality people. Work with internal business teams, cross-functional engineering teams, and external vendors.Effective conflict resolver and strong leadership skills to deliver on commitments and knowing when to say No to stakeholderRisk ManagementMake recommendations (and/or implement) to relevant stakeholders on possible risk management responses to identified risks and/or findings of concerns from investigations. Manage escalations on PEP / Sensitive issues requiring additional assessment and/or controlsGovernanceTake personal responsibility for understanding the risk and compliance requirements of the role. Understand and comply with, in letter and spirit, all applicable laws, and regulations, including those governing anti-money laundering, terrorist financing, and sanctions; the Group’s policies and procedures; and the Group Code of Conduct. Effectively and collaboratively identify, escalate, mitigate and resolve risk and compliance matters. Embed the Group’s values and code of conduct to ensure that adherence with the highest standards of ethics, and compliance with relevant policies, processes, and regulations among employee’s form part of the cultureOur Ideal CandidateEducation Bachelors degree in Computer Science, Software Engineering, or a related fieldOverall 8 Years of experience in information technology out of which 4 years of experience in data science and machine learning TrainingProgramming Skills – knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C is an added advantage.Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies. Machine Learning – good knowledge of machine learning methods like k-Nearest Neighbours, Naive Bayes, SVM, Decision Forests. Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques. Data Wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist job description. Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau that help to visually encode dataExcellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience.Strong Software Engineering BackgroundHands-on experience with data science toolsProblem-solving aptitudeAnalytical mind and great business senseDegree in Computer Science, Engineering or relevant field is preferredProven Experience as Data Analyst or Data ScientistCertifications: 2-3 certification related to Data science and Machine learningLanguages: Experience with Python/R ,GoRole Specific Technical CompetenciesData Science Machine Learning Artificial Intelligence Python/RAbout Standard CharteredWere an international bank, nimble enough to act, big enough for impact. For more than 160 years, weve worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If youre looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents. And we cant wait to see the talents you can bring us.Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, youll see how we value difference and advocate inclusion. Together we:Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we doNever settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so wellBe better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long termIn line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locationsTime-off including annual, parental/maternity (20 weeks), sabbatical (12 weeks maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimumFlexible working options based around home and office locations, with flexible working patternsProactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkitsA continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learningBeing part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.Recruitment assessments - some of our roles use assessments to help us understand how suitable you are for the role youve applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.Visit our careers website www.sc.com/careersJob: TechnologyPrimary Location: Asia-India-BangaloreSchedule: Full-timeEmployee Status: PermanentPosting Date: 31/Jan/2024, 2:10:04 PMUnposting Date: Ongoing